diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 030af37..f27d3a0 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -13,7 +13,7 @@ repos:
   - id: mypy
     exclude: tests|examples
     args: [--ignore-missing-imports]
-    additional_dependencies: [types-PyYAML>=6.0.12.20250915]
+    additional_dependencies: [types-PyYAML>=6.0.12.20250915, types-requests>=2.33.0.20260503]
 - repo: https://github.com/macisamuele/language-formatters-pre-commit-hooks
   rev: v2.15.0
   hooks:
diff --git a/pyproject.toml b/pyproject.toml
index 5f3fba1..d92121a 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -22,7 +22,9 @@ dependencies = [
   "numpy>=2.4.2",
   "pydantic>=2.12.3",
   "scipy>=1.17.0",
-  "styxpodman"
+  "styxpodman",
+  "requests>=2.33.1",
+  "platformdirs>=4.9.6"
 ]
 
 [dependency-groups]
@@ -34,7 +36,8 @@ dev = [
   "pytest>=9.0.3",
   "pytest-cov>=7.0.0",
   "ruff>=0.14.7",
-  "types-pyyaml>=6.0.12.20250915"
+  "types-pyyaml>=6.0.12.20250915",
+  "types-requests>=2.33.0.20260503"
 ]
 docs = ["pdoc>=15.0.4"]
 validate = ["check-jsonschema>=0.37.1"]
diff --git a/src/neuromaps_prime/fetcher.py b/src/neuromaps_prime/fetcher.py
new file mode 100644
index 0000000..b22cf5b
--- /dev/null
+++ b/src/neuromaps_prime/fetcher.py
@@ -0,0 +1,46 @@
+"""Helpers for grabbing from remote repositories."""
+
+from pathlib import Path
+from typing import Literal
+from urllib.parse import urlparse
+
+from neuromaps_prime.remote import OSFStorage
+
+
+def id_storage(uri: str) -> Literal["osf"] | None:
+    """Identify the storage type.
+
+    Args:
+        uri: Remote URI to fetch data from
+
+    Returns:
+        String indicating type of storage (one of 'osf')
+    """
+
+    def _find_host(storage: str, host: str) -> bool:
+        return storage == host or host.endswith(storage)
+
+    host = urlparse(uri).hostname
+    if host is not None:
+        host = host.lower()
+        if _find_host(storage="osf.io", host=host):
+            return "osf"
+    return None
+
+
+def download_and_validate(uri: str, dest: str | Path) -> None:
+    """Download and validate the file.
+
+    Args:
+        uri: Remote URI to fetch data from
+        dest: Output file path name
+        token: Optional token to use for remote storage
+
+    Raises:
+        ValueError: if storage cannot be identified from provided URI
+    """
+    match id_storage(uri):
+        case "osf":
+            OSFStorage().download(uri, Path(dest))
+        case _:
+            raise ValueError(f"Could not identify storage from uri: {uri}")
diff --git a/src/neuromaps_prime/graph/builder.py b/src/neuromaps_prime/graph/builder.py
index b378884..824ceca 100644
--- a/src/neuromaps_prime/graph/builder.py
+++ b/src/neuromaps_prime/graph/builder.py
@@ -10,11 +10,11 @@
 
 from __future__ import annotations
 
-from pathlib import Path
+from pathlib import Path  # noqa: TC003 (pydantic req'd)
 from typing import TYPE_CHECKING, Any, cast
 
 import yaml
-from pydantic import BaseModel, Field
+from pydantic import BaseModel
 
 from neuromaps_prime.graph.cache import GraphCache  # noqa: TC001 (pydantic req'd)
 from neuromaps_prime.graph.models import (
@@ -48,7 +48,7 @@ class GraphBuilder(BaseModel):
     model_config = {"arbitrary_types_allowed": True}
 
     cache: GraphCache
-    data_dir: Path | None = Field(default=None)
+    data_dir: Path
 
     # ------------------------------------------------------------------ #
     # Public entry points                                                  #
@@ -201,12 +201,8 @@ def _build_volume_edge(
     # Generic resource parsers                                             #
     # ------------------------------------------------------------------ #
 
-    def _resolve_path(self, path: str) -> Path:
-        """Prepend data_dir to path when set, otherwise return as-is."""
-        return (self.data_dir / path) if self.data_dir else Path(path)
-
     def _parse_surface_annotations(
-        self, prefix: str, space: str, density: str, hemispheres: dict[str, Any]
+        self, prefix: str, space: str, density: str, annots: dict[str, Any]
     ) -> list[SurfaceAnnotation]:
         """Parse annotation entries from a surface type block.
 
@@ -214,28 +210,31 @@ def _parse_surface_annotations(
             prefix: Name prefix derived from space or source/target space pair.
             space: Space identifier applied to every annotation.
             density: Density key (e.g. ``"32k"``) shared by all entries in this block.
-            hemispheres: Dict keyed by label → {hemi: path, ...} with optional
+            annots: Dict keyed by label → {annot: left, ...} with optional
                 ``"references"`` and ``"notes"`` keys.
 
         Returns:
             List of :class:`SurfaceAnnotation` instances parsed from the block.
         """
         annotations = []
-        for label, value in hemispheres.items():
+        for annot, value in annots.items():
             # Grab references and notes once
             references = value.get("references")
             notes = value.get("notes")
             for hemi, path in value.items():
                 if hemi in ("notes", "references"):
                     continue
+                name = f"{prefix}_{density}_{hemi}_{annot}"
+                ext = "func.gii" if "PC" in annot else "label.gii"
                 annotations.append(
                     SurfaceAnnotation(
-                        name=f"{prefix}_{density}_{hemi}_{label}",
+                        name=name,
                         space=space,
-                        label=label,
+                        label=annot,
                         density=density,
                         hemisphere=hemi,
-                        file_path=self._resolve_path(path),
+                        uri=path,
+                        file_path=self.data_dir / f"{name}.{ext}",
                         references=references,
                         notes=notes,
                     )
@@ -262,8 +261,8 @@ def _parse_surface_entries(
             density: Density key (e.g. ``"32k"``) shared by all entries in this block.
             surf_type: Resource type string (e.g. ``"midthickness"``).
             hemispheres: Dict mapping hemisphere key to file path.
-            fixed_fields: Fields forwarded verbatim to every instance (e.g. space,
-                description).
+            fixed_fields: Dict of fields forwarded verbatim to every instance (e.g.
+                space, description).
             provider: Provider string injected for :class:`SurfaceTransform` entries;
                 empty string for atlases.
             transform_refs: References list attached to the enclosing transform block,
@@ -275,8 +274,9 @@ def _parse_surface_entries(
         extra = {"provider": provider} if cls is SurfaceTransform else {}
         return [
             cls(
-                name=f"{prefix}_{density}_{hemi}_{surf_type}",
-                file_path=self._resolve_path(path),
+                name=(name := f"{prefix}_{density}_{hemi}_{surf_type}"),
+                uri=path,
+                file_path=self.data_dir / f"{name}.surf.gii",
                 density=density,
                 hemisphere=hemi,  # type: ignore[arg-type]
                 resource_type=surf_type,
@@ -398,13 +398,15 @@ def _parse_volume_resources(
                 for vol_type, vol_value in types.items():
                     if vol_type == "annotation":
                         for annot_key, annot_dict in vol_value.items():
+                            name = f"{prefix}_{res}_{annot_key}.nii.gz"
                             annotations.append(
                                 VolumeAnnotation(
-                                    name=f"{prefix}_{res}_{annot_key}",
+                                    name=name,
                                     space=space,
                                     label=annot_key,
                                     resolution=res,
-                                    file_path=self._resolve_path(annot_dict.get("uri")),
+                                    uri=annot_dict.get("uri"),
+                                    file_path=self.data_dir / name,
                                     references=annot_dict.get("references"),
                                     notes=annot_dict.get("notes"),
                                 )
@@ -412,10 +414,12 @@ def _parse_volume_resources(
                         continue
 
                     extra = {"provider": provider} if is_transform else {}
+                    name = f"{prefix}_{res}_{vol_type}"
                     result.append(
                         cls(
-                            name=f"{prefix}_{res}_{vol_type}",
-                            file_path=self._resolve_path(vol_value),
+                            name=name,
+                            uri=vol_value,
+                            file_path=self.data_dir / name,
                             resolution=res,
                             resource_type=vol_type,
                             references=transform_refs,
diff --git a/src/neuromaps_prime/graph/core.py b/src/neuromaps_prime/graph/core.py
index 53adb3a..c0a47ea 100644
--- a/src/neuromaps_prime/graph/core.py
+++ b/src/neuromaps_prime/graph/core.py
@@ -10,11 +10,11 @@
 
 from __future__ import annotations
 
-import os
 from pathlib import Path
 from typing import Any, Literal
 
 import networkx as nx
+from platformdirs import user_cache_dir
 
 from neuromaps_prime.graph.builder import GraphBuilder
 from neuromaps_prime.graph.cache import GraphCache
@@ -33,6 +33,8 @@
 from neuromaps_prime.graph.utils import GraphUtils
 from neuromaps_prime.niwrap import setup_runner
 
+NEUROMAPS_DATA_DIR = Path(user_cache_dir("neuromaps_prime"))
+
 
 class NeuromapsGraph(nx.MultiDiGraph):
     """Multi-directed graph of brain template spaces and their transformations."""
@@ -47,7 +49,7 @@ def __init__(
         image_overrides: dict[str, str] | None = None,
         verbose: int = 0,
         yaml_file: Path | None = None,
-        data_dir: Path | None = None,
+        data_dir: Path = NEUROMAPS_DATA_DIR,
         *,
         _testing: bool = False,
         **kwargs,  # noqa: ANN003 (ignore annotation for kwargs)
@@ -61,8 +63,7 @@ def __init__(
             image_overrides: Dictionary containing overrides for container tags.
             yaml_file: Path to the graph definition YAML. Defaults to the
                 bundled ``neuromaps_graph.yaml``.
-            data_dir: Optional root directory prepended to all relative file
-                paths in the YAML.
+            data_dir: Directory to save remote data. Defaults to system cache directory.
             verbose: Verbosity level (0=WARNING, 1=INFO, 2+=DEBUG)
             _testing: When ``True``, skip YAML loading (for unit tests).
             **kwargs: Additional keyword arguments passed for runner setup.
@@ -77,11 +78,11 @@ def __init__(
             **kwargs,
         )
         # Resource locations
-        self.data_dir = next(
-            (Path(d) for d in (data_dir, os.getenv("NEUROMAPS_DATA")) if d), None
-        )
-        self.yaml_path = yaml_file
+        if not data_dir.exists():
+            data_dir.mkdir(parents=True, exist_ok=True)
         # Graph initialization
+        self.data_dir = data_dir
+        self.yaml_path = yaml_file
         self._cache = GraphCache()
         self.utils = GraphUtils(graph=self, cache=self._cache)
         self.surface_ops = SurfaceTransformOps(cache=self._cache, utils=self.utils)
diff --git a/src/neuromaps_prime/graph/models.py b/src/neuromaps_prime/graph/models.py
index 14934f2..fd3e214 100644
--- a/src/neuromaps_prime/graph/models.py
+++ b/src/neuromaps_prime/graph/models.py
@@ -1,10 +1,15 @@
 """Models for resources in the neuromaps_prime graph."""
 
+import logging
 from collections.abc import Sequence
 from pathlib import Path
 from typing import Literal
 
-from pydantic import BaseModel, Field, field_validator
+from pydantic import BaseModel, Field
+
+from neuromaps_prime.fetcher import download_and_validate
+
+_logger = logging.getLogger(__name__)
 
 
 class Resource(BaseModel):
@@ -13,33 +18,30 @@ class Resource(BaseModel):
     name: str
     description: str | None
     file_path: Path
+    uri: str | None = None
     references: Sequence[str | dict[str, str]] | None = None
     notes: Sequence[str] | None = None
 
-    @field_validator("file_path")
-    @classmethod
-    def validate_file_path(cls, v: Path) -> Path:
-        """Validate that the file exists at the given path.
-
-        Args:
-            v: The file path to validate.
-
-        Returns:
-            The validated file path.
-
-        Raises:
-            FileNotFoundError: If the file does not exist.
-        """
-        if not v.exists():
-            raise FileNotFoundError(f"File path does not exist: {v}")
-        return v
-
     def fetch(self) -> Path:
-        """Return the path to this resource's file.
+        """Return the path to this resource's file, downloading if necessary.
 
         Returns:
             Path to the resource file.
+
+        Raises:
+            FileNotFoundError: if file cannot be fetched
         """
+        if self.file_path.exists():
+            return self.file_path
+        if self.uri is None:
+            raise FileNotFoundError("File does not exist and cannot be fetched.")
+        if (local_file := Path(self.uri)).exists():
+            self.file_path = local_file
+        else:
+            _logger.info(f"Fetching {self.file_path.name} from remote server.")
+            download_and_validate(uri=self.uri, dest=self.file_path)
+            if not self.file_path.exists():
+                raise FileNotFoundError("File does not exist.")
         return self.file_path
 
     def __repr__(self) -> str:
diff --git a/src/neuromaps_prime/niwrap.py b/src/neuromaps_prime/niwrap.py
index c67829c..c125ef3 100644
--- a/src/neuromaps_prime/niwrap.py
+++ b/src/neuromaps_prime/niwrap.py
@@ -122,7 +122,7 @@ def setup_runner(
         logging.DEBUG if verbose >= len(_LOG_LEVELS) - 1 else logging.WARNING
     )
 
-    neuromaps_prime_logger = logging.getLogger("neuromaps-PRIME")
+    neuromaps_prime_logger = logging.getLogger("neuromaps_prime")
     neuromaps_prime_logger.setLevel(_LOG_LEVELS[log_level])
     if not neuromaps_prime_logger.handlers:
         handler = logging.StreamHandler()
diff --git a/src/neuromaps_prime/remote/__init__.py b/src/neuromaps_prime/remote/__init__.py
new file mode 100644
index 0000000..8c81996
--- /dev/null
+++ b/src/neuromaps_prime/remote/__init__.py
@@ -0,0 +1,5 @@
+"""Module associated with remote storages."""
+
+from .osf import OSFStorage
+
+__all__ = ["OSFStorage"]
diff --git a/src/neuromaps_prime/remote/osf.py b/src/neuromaps_prime/remote/osf.py
new file mode 100644
index 0000000..90cbfb5
--- /dev/null
+++ b/src/neuromaps_prime/remote/osf.py
@@ -0,0 +1,59 @@
+"""Model associated with fetching from OSF storages."""
+
+import hashlib
+from abc import ABC
+from pathlib import Path
+
+import requests
+from pydantic import BaseModel
+
+
+class OSFHashes(BaseModel):
+    """Model for OSF hashes."""
+
+    md5: str
+    sha256: str | None = None
+
+
+class OSFFileExtra(BaseModel):
+    """Model for alternative storage of OSF hashes."""
+
+    hashes: OSFHashes
+
+
+class OSFFileMeta(BaseModel):
+    """Model for file metadata."""
+
+    name: str
+    size: int
+    extra: OSFFileExtra
+
+
+class OSFStorage(BaseModel, ABC):
+    """Model for OSF storage.
+
+    Note: This currently only works for storages that are publicly accessible.
+    """
+
+    chunk_size: int = 8192
+
+    def get_meta(self, url: str) -> OSFFileMeta:
+        """Get metadata from remote OSF file."""
+        r = requests.get(url, params={"meta": ""}, timeout=90)
+        r.raise_for_status()
+        return OSFFileMeta(**r.json()["data"]["attributes"])
+
+    def download(self, url: str, dest: Path) -> None:
+        """Download remote OSF file."""
+        meta = self.get_meta(url)
+        r = requests.get(url, stream=True, timeout=90)
+        r.raise_for_status()
+
+        h = hashlib.md5(usedforsecurity=False)
+        with dest.open("wb") as f:
+            for chunk in r.iter_content(self.chunk_size):
+                f.write(chunk)
+                h.update(chunk)
+
+        if (actual := h.hexdigest()) != meta.extra.hashes.md5:
+            raise ValueError(f"Checksum mismatch: {actual} != {meta.extra.hashes.md5}")
diff --git a/src/neuromaps_prime/resources/edges/surface/human_chimpanzee.yaml b/src/neuromaps_prime/resources/edges/surface/human_chimpanzee.yaml
new file mode 100644
index 0000000..3272f32
--- /dev/null
+++ b/src/neuromaps_prime/resources/edges/surface/human_chimpanzee.yaml
@@ -0,0 +1,20 @@
+- from: NCBR
+  to: fsaverage
+  surfaces:
+    human_chimpanzee:
+      164k:
+        sphere:
+          left: share/Outputs/NCBR-fsaverage/src-fsaverage_to-NCBR_den-164k_hemi-L_sphere.surf.gii
+          right: share/Outputs/NCBR-fsaverage/src-fsaverage_to-NCBR_den-164k_hemi-R_sphere.surf.gii
+        white:
+          left: share/Outputs/NCBR-fsaverage/src-fsaverage_to-NCBR_den-164k_hemi-L_white.surf.gii
+          right: share/Outputs/NCBR-fsaverage/src-fsaverage_to-NCBR_den-164k_hemi-R_white.surf.gii
+
+- from: fsaverage
+  to: NCBR
+  surfaces:
+    human_chimpanzee:
+      164k:
+        sphere:
+          left: share/Outputs/fsaverage-NCBR/src-NCBR_to-fsaverage_den-164k_hemi-L_sphere.surf.gii
+          right: share/Outputs/fsaverage-NCBR/src-NCBR_to-fsaverage_den-164k_hemi-R_sphere.surf.gii
diff --git a/src/neuromaps_prime/resources/edges/surface/human_human.yaml b/src/neuromaps_prime/resources/edges/surface/human_human.yaml
new file mode 100644
index 0000000..4bacc27
--- /dev/null
+++ b/src/neuromaps_prime/resources/edges/surface/human_human.yaml
@@ -0,0 +1,34 @@
+- from: CIVET
+  to: fsLR
+  surfaces:
+    neuromaps:
+      41k:
+        sphere:
+          left: https://files.osf.io/v1/resources/nmxfh/providers/osfstorage/6a1700c4e0d5737206829c59/?view_only=b214f40525fe44b5bea3103478d08d0d
+          right: https://files.osf.io/v1/resources/nmxfh/providers/osfstorage/6a1700c5d06c4774c98294e9/?view_only=b214f40525fe44b5bea3103478d08d0d
+      164k:
+        sphere:
+          left: https://files.osf.io/v1/resources/nmxfh/providers/osfstorage/6a1700c56d01f8af2c829920/?view_only=b214f40525fe44b5bea3103478d08d0d
+          right: https://files.osf.io/v1/resources/nmxfh/providers/osfstorage/6a1700c6346bfaa8ef809d16/?view_only=b214f40525fe44b5bea3103478d08d0d
+
+- from: CIVET
+  to: fsaverage
+  surfaces:
+    neuromaps:
+      41k:
+        sphere:
+          left: https://files.osf.io/v1/resources/nmxfh/providers/osfstorage/6a17033581dec3a3edfdfb6b/?view_only=b214f40525fe44b5bea3103478d08d0d
+          right: https://files.osf.io/v1/resources/nmxfh/providers/osfstorage/6a17033481dec3a3edfdfb69/?view_only=b214f40525fe44b5bea3103478d08d0d
+      164k:
+        sphere:
+          left: https://files.osf.io/v1/resources/nmxfh/providers/osfstorage/6a17033788c420c552cc6f0e/?view_only=b214f40525fe44b5bea3103478d08d0d
+          right: https://files.osf.io/v1/resources/nmxfh/providers/osfstorage/6a170336a9eebf8f0f82902d/?view_only=b214f40525fe44b5bea3103478d08d0d
+
+- from: fsLR
+  to: fsaverage
+  surfaces:
+    neuromaps:
+      32k:
+        sphere:
+          left: https://files.osf.io/v1/resources/nmxfh/providers/osfstorage/6a17044383ffd4e634cc6e33/?view_only=b214f40525fe44b5bea3103478d08d0d
+          right: https://files.osf.io/v1/resources/nmxfh/providers/osfstorage/6a1704435720fc8dbacc710f/?view_only=b214f40525fe44b5bea3103478d08d0d
diff --git a/src/neuromaps_prime/resources/nodes/chimpanzee/NCBR.yaml b/src/neuromaps_prime/resources/nodes/chimpanzee/NCBR.yaml
new file mode 100644
index 0000000..794c9b7
--- /dev/null
+++ b/src/neuromaps_prime/resources/nodes/chimpanzee/NCBR.yaml
@@ -0,0 +1,24 @@
+NCBR:
+  species: chimpanzee
+  description: NCBR Chimpanzee Atlas
+  surfaces:
+    41k:
+      sphere:
+        left: share/Inputs/NCBR/src-NCBR_den-41k_hemi-L_sphere.surf.gii
+        right: share/Inputs/NCBR/src-NCBR_den-41k_hemi-R_sphere.surf.gii
+      white:
+        left: share/Inputs/NCBR/src-NCBR_den-41k_hemi-L_white.surf.gii
+        right: share/Inputs/NCBR/src-NCBR_den-41k_hemi-R_white.surf.gii
+    164k:
+      sphere:
+        left: share/Inputs/NCBR/src-NCBR_den-164k_hemi-L_sphere.surf.gii
+        right: share/Inputs/NCBR/src-NCBR_den-164k_hemi-R_sphere.surf.gii
+      midthickness:
+        left: share/Inputs/NCBR/src-NCBR_den-164k_hemi-L_midthickness.surf.gii
+        right: share/Inputs/NCBR/src-NCBR_den-164k_hemi-R_midthickness.surf.gii
+      white:
+        left: share/Inputs/NCBR/src-NCBR_den-164k_hemi-L_white.surf.gii
+        right: share/Inputs/NCBR/src-NCBR_den-164k_hemi-R_white.surf.gii
+  volumes:
+    400um:
+      T1w: share/Inputs/NCBR/src-NCBR_res-0p40mm_T1w.nii
diff --git a/src/neuromaps_prime/resources/nodes/human/CIVET.yaml b/src/neuromaps_prime/resources/nodes/human/CIVET.yaml
new file mode 100644
index 0000000..fdc51c4
--- /dev/null
+++ b/src/neuromaps_prime/resources/nodes/human/CIVET.yaml
@@ -0,0 +1,55 @@
+# Surfaces sourced from neuromaps OSF
+# (https://osf.io/4mw3a)
+# Annotations are direct URL
+CIVET:
+  species: human
+  description: CIVET Human Template
+  surfaces:
+    41k:
+      sphere:
+        left: https://files.osf.io/v1/resources/nmxfh/providers/osfstorage/6a15f366ae88a491b17ee7f2/?view_only=b214f40525fe44b5bea3103478d08d0d
+        right: https://files.osf.io/v1/resources/nmxfh/providers/osfstorage/6a15f36600e86708937eea00/?view_only=b214f40525fe44b5bea3103478d08d0d
+      midthickness:
+        left: https://files.osf.io/v1/resources/nmxfh/providers/osfstorage/6a15f367ae88a491b17ee7f4/?view_only=b214f40525fe44b5bea3103478d08d0d
+        right: https://files.osf.io/v1/resources/nmxfh/providers/osfstorage/6a15f3689b96bc757282a3e1/?view_only=b214f40525fe44b5bea3103478d08d0d
+      white:
+        left: https://files.osf.io/v1/resources/nmxfh/providers/osfstorage/6a15f3669b96bc757282a3dd/?view_only=b214f40525fe44b5bea3103478d08d0d
+        right: https://files.osf.io/v1/resources/nmxfh/providers/osfstorage/6a15f366bfa98ff448cc7572/?view_only=b214f40525fe44b5bea3103478d08d0d
+      inflated:
+        left: https://files.osf.io/v1/resources/nmxfh/providers/osfstorage/6a15f0c9ae88a491b17ee5b6/?view_only=b214f40525fe44b5bea3103478d08d0d
+        right: https://files.osf.io/v1/resources/nmxfh/providers/osfstorage/6a15f366bfa98ff448cc7574/?view_only=b214f40525fe44b5bea3103478d08d0d
+      annotation:
+        RM_scalinghcp:
+          left: https://files.osf.io/v1/resources/4mw3a/providers/osfstorage/613100104e5ee5021029a221
+          right: https://files.osf.io/v1/resources/4mw3a/providers/osfstorage/613100044e5ee5021929210c
+          references:
+          - https://doi.org/10.1126/science.aar2578
+          notes:
+          - Reardon 2018 scalinghcp
+        RM_scalingnih:
+          left: https://files.osf.io/v1/resources/4mw3a/providers/osfstorage/6130ffd5af610c0216dfe093
+          right: https://files.osf.io/v1/resources/4mw3a/providers/osfstorage/6130ffe24e5ee5021829148a
+          references:
+          - https://doi.org/10.1126/science.aar2578
+          notes:
+          - Reardon 2018 RM_scalingnih
+        RM_scalingpnc:
+          left: https://files.osf.io/v1/resources/4mw3a/providers/osfstorage/6130ffedab8bca0225edc80c
+          right: https://files.osf.io/v1/resources/4mw3a/providers/osfstorage/6130fff94e5ee502182914c1
+          references:
+          - https://doi.org/10.1126/science.aar2578
+          notes:
+          - Reardon 2018 RM_scalingpnc
+    164k:
+      sphere:
+        left: https://files.osf.io/v1/resources/nmxfh/providers/osfstorage/6a15f348c2575abdbd829ac5/?view_only=b214f40525fe44b5bea3103478d08d0d
+        right: https://files.osf.io/v1/resources/nmxfh/providers/osfstorage/6a15f3487ef401e8b5cc74d1/?view_only=b214f40525fe44b5bea3103478d08d0d
+      midthickness:
+        left: https://files.osf.io/v1/resources/nmxfh/providers/osfstorage/6a15f348e9bdf105947ee536/?view_only=b214f40525fe44b5bea3103478d08d0d
+        right: https://files.osf.io/v1/resources/nmxfh/providers/osfstorage/6a15f3689b96bc757282a3e1/?view_only=b214f40525fe44b5bea3103478d08d0d
+      white:
+        left: https://files.osf.io/v1/resources/nmxfh/providers/osfstorage/6a15f3489b96bc757282a3b8/?view_only=b214f40525fe44b5bea3103478d08d0d
+        right: https://files.osf.io/v1/resources/nmxfh/providers/osfstorage/6a15f345bfa98ff448cc7564/?view_only=b214f40525fe44b5bea3103478d08d0d
+      inflated:
+        left: https://files.osf.io/v1/resources/nmxfh/providers/osfstorage/6a15f348ae88a491b17ee7d5/?view_only=b214f40525fe44b5bea3103478d08d0d
+        right: https://files.osf.io/v1/resources/nmxfh/providers/osfstorage/6a15f348bfa98ff448cc7569/?view_only=b214f40525fe44b5bea3103478d08d0d
diff --git a/src/neuromaps_prime/resources/nodes/human/fsaverage.yaml b/src/neuromaps_prime/resources/nodes/human/fsaverage.yaml
new file mode 100644
index 0000000..16a6c01
--- /dev/null
+++ b/src/neuromaps_prime/resources/nodes/human/fsaverage.yaml
@@ -0,0 +1,85 @@
+# Surfaces sourced from neuromaps OSF
+# (https://osf.io/4mw3a)
+# Annotations are direct URL
+fsaverage:
+  species: human
+  description: fsaverage Human Template
+  surfaces:
+    10k:
+      sphere:
+        left: https://files.osf.io/v1/resources/nmxfh/providers/osfstorage/6a15f3d101ad20570d7eeb1b/?view_only=b214f40525fe44b5bea3103478d08d0d
+        right: https://files.osf.io/v1/resources/nmxfh/providers/osfstorage/6a15f3d17ef401e8b5cc752d/?view_only=b214f40525fe44b5bea3103478d08d0d
+      white:
+        left: https://files.osf.io/v1/resources/nmxfh/providers/osfstorage/6a15f3d100e86708937eea7a/?view_only=b214f40525fe44b5bea3103478d08d0d
+        right: https://files.osf.io/v1/resources/nmxfh/providers/osfstorage/6a15f3d17ef401e8b5cc752e/?view_only=b214f40525fe44b5bea3103478d08d0d
+      pial:
+        left: https://files.osf.io/v1/resources/nmxfh/providers/osfstorage/6a15f3d1bfa98ff448cc75b5/?view_only=b214f40525fe44b5bea3103478d08d0d
+        right: https://files.osf.io/v1/resources/nmxfh/providers/osfstorage/6a15f3d1bfa98ff448cc75b6/?view_only=b214f40525fe44b5bea3103478d08d0d
+      inflated:
+        left: https://files.osf.io/v1/resources/nmxfh/providers/osfstorage/6a15f3d1ae88a491b17ee845/?view_only=b214f40525fe44b5bea3103478d08d0d
+        right: https://files.osf.io/v1/resources/nmxfh/providers/osfstorage/6a15f3d19b96bc757282a455/?view_only=b214f40525fe44b5bea3103478d08d0d
+      annotation:
+        RM_genepc1:
+          left: https://files.osf.io/v1/resources/4mw3a/providers/osfstorage/60c2290118f70b01fca797eb
+          right: https://files.osf.io/v1/resources/4mw3a/providers/osfstorage/60c228f5f3ce9401fa24e521
+          references:
+          - https://doi.org/10.1038/nature11405
+          - https://doi.org/10.7554/eLife.72129
+          notes:
+          - Abagen Gene PC1
+    164k:
+      sphere:
+        left: https://files.osf.io/v1/resources/nmxfh/providers/osfstorage/6a15f3784a4fb9e964cc78b5/?view_only=b214f40525fe44b5bea3103478d08d0d
+        right: https://files.osf.io/v1/resources/nmxfh/providers/osfstorage/6a15f378ae88a491b17ee7fc/?view_only=b214f40525fe44b5bea3103478d08d0d
+      white:
+        left: https://files.osf.io/v1/resources/nmxfh/providers/osfstorage/6a15f3797ef401e8b5cc74ed/?view_only=b214f40525fe44b5bea3103478d08d0d
+        right: https://files.osf.io/v1/resources/nmxfh/providers/osfstorage/6a15f345bfa98ff448cc7564/?view_only=b214f40525fe44b5bea3103478d08d0d
+      pial:
+        left: https://files.osf.io/v1/resources/nmxfh/providers/osfstorage/6a15f37801ad20570d7eeacd/?view_only=b214f40525fe44b5bea3103478d08d0d
+        right: https://files.osf.io/v1/resources/nmxfh/providers/osfstorage/6a15f3797a6372a22ecc762c/?view_only=b214f40525fe44b5bea3103478d08d0d
+      inflated:
+        left: https://files.osf.io/v1/resources/nmxfh/providers/osfstorage/6a15f3799b96bc757282a3f5/?view_only=b214f40525fe44b5bea3103478d08d0d
+        right: https://files.osf.io/v1/resources/nmxfh/providers/osfstorage/6a15f37800e86708937eea31/?view_only=b214f40525fe44b5bea3103478d08d0d
+      annotation:
+        RM_az10419369:
+          left: https://files.osf.io/v1/resources/4mw3a/providers/osfstorage/638543b0723a11190518c8a6
+          right: https://files.osf.io/v1/resources/4mw3a/providers/osfstorage/638543a2c86e2818da88f993
+          references:
+          - https://doi.org/10.1523/JNEUROSCI.2830-16.2016
+          notes:
+          - Beliveau 2017 AZ10419369
+        RM_cimbi36:
+          left: https://files.osf.io/v1/resources/4mw3a/providers/osfstorage/638543bf228a5a18987bc2c1
+          right: https://files.osf.io/v1/resources/4mw3a/providers/osfstorage/638543cdc86e2818da88f9e7
+          references:
+          - https://doi.org/10.1523/JNEUROSCI.2830-16.2016
+          notes:
+          - Beliveau 2017 cimbi36
+        RM_cumi101:
+          left: https://files.osf.io/v1/resources/4mw3a/providers/osfstorage/638543ea1daa6b183975935a
+          right: https://files.osf.io/v1/resources/4mw3a/providers/osfstorage/638543dbc86e2818d988f7ea
+          references:
+          - https://doi.org/10.1523/JNEUROSCI.2830-16.2016
+          notes:
+          - Beliveau 2017 cumi101
+        RM_dasb:
+          left: https://files.osf.io/v1/resources/4mw3a/providers/osfstorage/63854394228a5a18987bc26e
+          right: https://files.osf.io/v1/resources/4mw3a/providers/osfstorage/63854385c86e2818da88f94b
+          references:
+          - https://doi.org/10.1523/JNEUROSCI.2830-16.2016
+          notes:
+          - Beliveau 2017 dasb
+        RM_sb207145:
+          left: https://files.osf.io/v1/resources/4mw3a/providers/osfstorage/638542c2c86e2818d588f461
+          right: https://files.osf.io/v1/resources/4mw3a/providers/osfstorage/638542b2a98e5f1ac2103866
+          references:
+          - https://doi.org/10.1523/JNEUROSCI.2830-16.2016
+          notes:
+          - Beliveau 2017 sb207145
+        RM_norgaard_flumazenil:
+          left: https://files.osf.io/v1/resources/4mw3a/providers/osfstorage/638553fe228a5a18d67bcac8
+          right: https://files.osf.io/v1/resources/4mw3a/providers/osfstorage/6385540d228a5a18d67bcadd
+          references:
+          - https://doi.org/10.1016/j.neuroimage.2021.117878
+          notes:
+          - Norgaard 2021 flumazenil
diff --git a/src/neuromaps_prime/resources/nodes/macaque/Yerkes19.yaml b/src/neuromaps_prime/resources/nodes/macaque/Yerkes19.yaml
index c238b9e..b9346bd 100644
--- a/src/neuromaps_prime/resources/nodes/macaque/Yerkes19.yaml
+++ b/src/neuromaps_prime/resources/nodes/macaque/Yerkes19.yaml
@@ -23,14 +23,14 @@ Yerkes19:
           left: resources/Yerkes19/annotations/parcellations/src-Yerkes19_den-10k_hemi-L_atlas-Yeo7Networks_desc-PC_annot.label.gii
           right: resources/Yerkes19/annotations/parcellations/src-Yerkes19_den-10k_hemi-R_atlas-Yeo7Networks_desc-PC_annot.label.gii
           notes:
-            - Yeo2011 7 Network parcellation (N=1000). Human-to-monkey. 10k surface density.
-            - left lookup file -> resources/Yerkes19/annotations/parcellations/src-Yerkes19_den-10k_hemi-L_atlas-Yeo7Networks_desc-PC_annot.txt
-            - right lookup file -> resources/Yerkes19/annotations/parcellations/src-Yerkes19_den-10k_hemi-R_atlas-Yeo7Networks_desc-PC_annot.txt
+          - Yeo2011 7 Network parcellation (N=1000). Human-to-monkey. 10k surface density.
+          - left lookup file -> resources/Yerkes19/annotations/parcellations/src-Yerkes19_den-10k_hemi-L_atlas-Yeo7Networks_desc-PC_annot.txt
+          - right lookup file -> resources/Yerkes19/annotations/parcellations/src-Yerkes19_den-10k_hemi-R_atlas-Yeo7Networks_desc-PC_annot.txt
         PC_MarkovMonkey:
-            left: resources/Yerkes19/annotations/parcellations/src-Yerkes19_den-10k_hemi-L_atlas-MarkovMonkey_desc-PC_annot.label.gii
-            right: resources/Yerkes19/annotations/parcellations/src-Yerkes19_den-10k_hemi-R_atlas-MarkovMonkey_desc-PC_annot.label.gii
-            notes:
-              - Markov monkey cortical parcellation, 10k surface density.
+          left: resources/Yerkes19/annotations/parcellations/src-Yerkes19_den-10k_hemi-L_atlas-MarkovMonkey_desc-PC_annot.label.gii
+          right: resources/Yerkes19/annotations/parcellations/src-Yerkes19_den-10k_hemi-R_atlas-MarkovMonkey_desc-PC_annot.label.gii
+          notes:
+          - Markov monkey cortical parcellation, 10k surface density.
     32k:
       sphere:
         left: share/Inputs/Yerkes19/src-Yerkes19_den-32k_hemi-L_sphere.surf.gii
@@ -51,134 +51,134 @@ Yerkes19:
         RM_auto_ampa:
           left: resources/Yerkes19/annotations/receptor_maps/src-Yerkes19_den-32k_hemi-L_acq-auto_trc-ampa_desc-RM_annot.func.gii
           references:
-            - https://doi.org/10.1007/s00429-021-02437-y
-            - https://doi.org/10.1038/s41593-023-01351-2
-          notes: 
-            - AMPA receptor density, radioligand [³H]AMPA. Ionotropic glutamate receptor.
+          - https://doi.org/10.1007/s00429-021-02437-y
+          - https://doi.org/10.1038/s41593-023-01351-2
+          notes:
+          - AMPA receptor density, radioligand [³H]AMPA. Ionotropic glutamate receptor.
         RM_auto_cgp5:
           left: resources/Yerkes19/annotations/receptor_maps/src-Yerkes19_den-32k_hemi-L_acq-auto_trc-cgp5_desc-RM_annot.func.gii
           references:
-            - https://doi.org/10.1007/s00429-021-02437-y
-            - https://doi.org/10.1038/s41593-023-01351-2
+          - https://doi.org/10.1007/s00429-021-02437-y
+          - https://doi.org/10.1038/s41593-023-01351-2
           notes:
-            - GABA_B receptor density, radioligand [³H]CGP54626. Metabotropic inhibitory GABA receptor.
+          - GABA_B receptor density, radioligand [³H]CGP54626. Metabotropic inhibitory GABA receptor.
         RM_auto_damp:
           left: resources/Yerkes19/annotations/receptor_maps/src-Yerkes19_den-32k_hemi-L_acq-auto_trc-damp_desc-RM_annot.func.gii
           references:
-            - https://doi.org/10.1007/s00429-021-02437-y
-            - https://doi.org/10.1038/s41593-023-01351-2
-          notes: 
-            - M3 muscarinic receptor density, radioligand [³H]4-DAMP. Cholinergic receptor.
+          - https://doi.org/10.1007/s00429-021-02437-y
+          - https://doi.org/10.1038/s41593-023-01351-2
+          notes:
+          - M3 muscarinic receptor density, radioligand [³H]4-DAMP. Cholinergic receptor.
         RM_auto_dpat:
           left: resources/Yerkes19/annotations/receptor_maps/src-Yerkes19_den-32k_hemi-L_acq-auto_trc-dpat_desc-RM_annot.func.gii
-          references: 
-            - https://doi.org/10.1007/s00429-021-02437-y
-            - https://doi.org/10.1038/s41593-023-01351-2
-          notes: 
-            - 5-HT1A receptor density, radioligand [³H]8-OH-DPAT (dpat). Serotonin receptor.
+          references:
+          - https://doi.org/10.1007/s00429-021-02437-y
+          - https://doi.org/10.1038/s41593-023-01351-2
+          notes:
+          - 5-HT1A receptor density, radioligand [³H]8-OH-DPAT (dpat). Serotonin receptor.
         RM_auto_dpmg:
           left: resources/Yerkes19/annotations/receptor_maps/src-Yerkes19_den-32k_hemi-L_acq-auto_trc-dpmg_desc-RM_annot.func.gii
           references:
-            - https://doi.org/10.1007/s00429-021-02437-y
-            - https://doi.org/10.1038/s41593-023-01351-2
-          notes: 
-            - D1 dopamine receptor density, radioligand [³H]SCH23390. Dopamine receptor.
+          - https://doi.org/10.1007/s00429-021-02437-y
+          - https://doi.org/10.1038/s41593-023-01351-2
+          notes:
+          - D1 dopamine receptor density, radioligand [³H]SCH23390. Dopamine receptor.
         RM_auto_flum:
           left: resources/Yerkes19/annotations/receptor_maps/src-Yerkes19_den-32k_hemi-L_acq-auto_trc-flum_desc-RM_annot.func.gii
           references:
-            - https://doi.org/10.1007/s00429-021-02437-y
-            - https://doi.org/10.1038/s41593-023-01351-2
-          notes: 
-            - GABA_A/BZ receptor density, radioligand [³H]flumazenil. Benzodiazepine site of GABA_A receptor.
+          - https://doi.org/10.1007/s00429-021-02437-y
+          - https://doi.org/10.1038/s41593-023-01351-2
+          notes:
+          - GABA_A/BZ receptor density, radioligand [³H]flumazenil. Benzodiazepine site of GABA_A receptor.
         RM_auto_kain:
           left: resources/Yerkes19/annotations/receptor_maps/src-Yerkes19_den-32k_hemi-L_acq-auto_trc-kain_desc-RM_annot.func.gii
           references:
-            - https://doi.org/10.1007/s00429-021-02437-y
-            - https://doi.org/10.1038/s41593-023-01351-2
-          notes: 
-            - Kainate receptor density, radioligand [³H]kainate. Ionotropic glutamate receptor.
+          - https://doi.org/10.1007/s00429-021-02437-y
+          - https://doi.org/10.1038/s41593-023-01351-2
+          notes:
+          - Kainate receptor density, radioligand [³H]kainate. Ionotropic glutamate receptor.
         RM_auto_keta:
           left: resources/Yerkes19/annotations/receptor_maps/src-Yerkes19_den-32k_hemi-L_acq-auto_trc-keta_desc-RM_annot.func.gii
           references:
-            - https://doi.org/10.1007/s00429-021-02437-y
-            - https://doi.org/10.1038/s41593-023-01351-2
-          notes: 
-            - 5-HT2A receptor density, radioligand [³H]ketanserin. Serotonin receptor.
+          - https://doi.org/10.1007/s00429-021-02437-y
+          - https://doi.org/10.1038/s41593-023-01351-2
+          notes:
+          - 5-HT2A receptor density, radioligand [³H]ketanserin. Serotonin receptor.
         RM_auto_mk80:
           left: resources/Yerkes19/annotations/receptor_maps/src-Yerkes19_den-32k_hemi-L_acq-auto_trc-mk80_desc-RM_annot.func.gii
           references:
-            - https://doi.org/10.1007/s00429-021-02437-y
-            - https://doi.org/10.1038/s41593-023-01351-2
-          notes: 
-            - NMDA receptor density, radioligand [³H]MK-801. Ionotropic glutamate receptor.
+          - https://doi.org/10.1007/s00429-021-02437-y
+          - https://doi.org/10.1038/s41593-023-01351-2
+          notes:
+          - NMDA receptor density, radioligand [³H]MK-801. Ionotropic glutamate receptor.
         RM_auto_musc:
           left: resources/Yerkes19/annotations/receptor_maps/src-Yerkes19_den-32k_hemi-L_acq-auto_trc-musc_desc-RM_annot.func.gii
           references:
-            - https://doi.org/10.1007/s00429-021-02437-y
-            - https://doi.org/10.1038/s41593-023-01351-2
-          notes: 
-            - GABA_A receptor density, radioligand [³H]muscimol. Ionotropic inhibitory GABA receptor.
+          - https://doi.org/10.1007/s00429-021-02437-y
+          - https://doi.org/10.1038/s41593-023-01351-2
+          notes:
+          - GABA_A receptor density, radioligand [³H]muscimol. Ionotropic inhibitory GABA receptor.
         RM_auto_oxot:
           left: resources/Yerkes19/annotations/receptor_maps/src-Yerkes19_den-32k_hemi-L_acq-auto_trc-oxot_desc-RM_annot.func.gii
           references:
-            - https://doi.org/10.1007/s00429-021-02437-y
-            - https://doi.org/10.1038/s41593-023-01351-2
-          notes: 
-            - M2 muscarinic receptor density, radioligand [³H]oxotremorine-M. Cholinergic receptor.
+          - https://doi.org/10.1007/s00429-021-02437-y
+          - https://doi.org/10.1038/s41593-023-01351-2
+          notes:
+          - M2 muscarinic receptor density, radioligand [³H]oxotremorine-M. Cholinergic receptor.
         RM_auto_pire:
           left: resources/Yerkes19/annotations/receptor_maps/src-Yerkes19_den-32k_hemi-L_acq-auto_trc-pire_desc-RM_annot.func.gii
-          references: 
-            - https://doi.org/10.1007/s00429-021-02437-y
-            - https://doi.org/10.1038/s41593-023-01351-2
-          notes: 
-            - M1 muscarinic receptor density, radioligand [³H]pirenzepine. Cholinergic receptor.
+          references:
+          - https://doi.org/10.1007/s00429-021-02437-y
+          - https://doi.org/10.1038/s41593-023-01351-2
+          notes:
+          - M1 muscarinic receptor density, radioligand [³H]pirenzepine. Cholinergic receptor.
         RM_auto_praz:
           left: resources/Yerkes19/annotations/receptor_maps/src-Yerkes19_den-32k_hemi-L_acq-auto_trc-praz_desc-RM_annot.func.gii
           references:
-            - https://doi.org/10.1007/s00429-021-02437-y
-            - https://doi.org/10.1038/s41593-023-01351-2
-          notes: 
-            - α1-adrenergic receptor density, radioligand [³H]prazosin. Noradrenergic receptor.
+          - https://doi.org/10.1007/s00429-021-02437-y
+          - https://doi.org/10.1038/s41593-023-01351-2
+          notes:
+          - α1-adrenergic receptor density, radioligand [³H]prazosin. Noradrenergic receptor.
         RM_auto_uk14:
           left: resources/Yerkes19/annotations/receptor_maps/src-Yerkes19_den-32k_hemi-L_acq-auto_trc-uk14_desc-RM_annot.func.gii
           references:
-            - https://doi.org/10.1007/s00429-021-02437-y
-            - https://doi.org/10.1038/s41593-023-01351-2
-          notes: 
-            - α2-adrenergic receptor density, radioligand [³H]UK-14304. Noradrenergic receptor.
+          - https://doi.org/10.1007/s00429-021-02437-y
+          - https://doi.org/10.1038/s41593-023-01351-2
+          notes:
+          - α2-adrenergic receptor density, radioligand [³H]UK-14304. Noradrenergic receptor.
         MM:
           left: resources/Yerkes19/annotations/myelin_maps/src-Yerkes19_den-32k_hemi-L_desc-MM_annot.func.gii
           right: resources/Yerkes19/annotations/myelin_maps/src-Yerkes19_den-32k_hemi-R_desc-MM_annot.func.gii
           references:
-            - https://doi.org/10.1073/pnas.1721653115
+          - https://doi.org/10.1073/pnas.1721653115
           notes:
-            - Myelin map (bias corrected). MacaqueYerkes19 v1.2.
+          - Myelin map (bias corrected). MacaqueYerkes19 v1.2.
         SMM:
           left: resources/Yerkes19/annotations/smoothed_myelin_maps/src-Yerkes19_den-32k_hemi-L_desc-SMM_annot.func.gii
           right: resources/Yerkes19/annotations/smoothed_myelin_maps/src-Yerkes19_den-32k_hemi-R_desc-SMM_annot.func.gii
           references:
-            - https://doi.org/10.1073/pnas.1721653115
+          - https://doi.org/10.1073/pnas.1721653115
           notes:
-            - Smoothed myelin map (bias corrected). MacaqueYerkes19 v1.2.
+          - Smoothed myelin map (bias corrected). MacaqueYerkes19 v1.2.
         CT:
           left: resources/Yerkes19/annotations/cortical_thickness/src-Yerkes19_den-32k_hemi-L_desc-CT_annot.func.gii
           right: resources/Yerkes19/annotations/cortical_thickness/src-Yerkes19_den-32k_hemi-R_desc-CT_annot.func.gii
           references:
-            - https://doi.org/10.1073/pnas.1721653115
+          - https://doi.org/10.1073/pnas.1721653115
           notes:
-            - Cortical thickness. MacaqueYerkes19 v1.2.
+          - Cortical thickness. MacaqueYerkes19 v1.2.
         CV:
           left: resources/Yerkes19/annotations/curvature/src-Yerkes19_den-32k_hemi-L_desc-CV_annot.func.gii
           right: resources/Yerkes19/annotations/curvature/src-Yerkes19_den-32k_hemi-R_desc-CV_annot.func.gii
           references:
-            - https://doi.org/10.1073/pnas.1721653115
+          - https://doi.org/10.1073/pnas.1721653115
           notes:
-            - Curvature. MacaqueYerkes19 v1.2.
+          - Curvature. MacaqueYerkes19 v1.2.
         PC_Yeo7Networks:
           left: resources/Yerkes19/annotations/parcellations/src-Yerkes19_den-32k_hemi-L_atlas-Yeo7Networks_desc-PC_annot.label.gii
           notes:
-            - Yeo2011 7 Network parcellation (N=1000). Human-to-monkey. 32k surface density.
-            - left lookup file -> resources/Yerkes19/annotations/parcellations/src-Yerkes19_den-32k_hemi-L_atlas-Yeo7Networks_desc-PC_annot.txt
+          - Yeo2011 7 Network parcellation (N=1000). Human-to-monkey. 32k surface density.
+          - left lookup file -> resources/Yerkes19/annotations/parcellations/src-Yerkes19_den-32k_hemi-L_atlas-Yeo7Networks_desc-PC_annot.txt
   volumes:
     500um:
       T1w: share/Inputs/Yerkes19/src-Yerkes19_res-0p50mm_T1w.nii
diff --git a/tests/conftest.py b/tests/conftest.py
index ffe0e82..ac02a98 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -2,18 +2,13 @@
 
 from __future__ import annotations
 
-import logging
-import os
 from pathlib import Path
 from typing import TYPE_CHECKING, Any
 
-import niwrap
 import pytest
 import yaml
-from styxpodman import PodmanRunner
 
 from neuromaps_prime.graph import NeuromapsGraph
-from neuromaps_prime.niwrap import resolve_runner
 from neuromaps_prime.resources import NEUROMAPSPRIME_GRAPH
 
 if TYPE_CHECKING:
@@ -30,51 +25,6 @@ def pytest_collection_modifyitems(items: Sequence[pytest.Item]) -> None:
             item.add_marker(getattr(pytest.mark, marker))
 
 
-def pytest_addoption(parser: pytest.Parser) -> None:
-    """Add option(s) to pytest parser."""
-    parser.addoption(
-        "--runner",
-        action="store",
-        default="local",
-        help="Styx runner type to use: ['local', 'docker', 'singularity']",
-    )
-    parser.addoption(
-        "--data-dir",
-        action="store",
-        default=None,
-        help="Directory where test data is located.",
-    )
-
-
-@pytest.fixture(scope="session", autouse=True)
-def niwrap_runner(
-    request: pytest.FixtureRequest, tmp_path_factory: pytest.TempPathFactory
-) -> niwrap.Runner:
-    """Globally set niwrap runner for the testing suite."""
-    # Set up niwrap runner
-    runner_type, runner_exec = resolve_runner(
-        request.config.getoption("--runner").lower()
-    )
-    match runner_type:
-        case "docker":
-            niwrap.use_docker(docker_executable=runner_exec)
-        case "podman":
-            niwrap.set_global_runner(
-                # UserID = 0 currently necessary for some containers used
-                runner=PodmanRunner(podman_executable=runner_exec, podman_user_id=0)
-            )
-        case "singularity":
-            niwrap.use_singularity(singularity_executable=runner_exec)
-        case _:
-            niwrap.use_local()
-    runner = niwrap.get_global_runner()
-    runner.data_dir = tmp_path_factory.mktemp(f"{os.urandom(8).hex()}")
-    # Set up logging for debugging
-    logger = logging.getLogger(runner.logger_name)
-    logger.setLevel(logging.DEBUG)
-    return runner
-
-
 def _mk(tmp_path: Path, name: str) -> str:
     path = tmp_path / name
     path.touch()
@@ -156,13 +106,9 @@ def _rewrite_edge_files(tmp_path: Path, edge: dict[str, Any]) -> None:
 
 
 @pytest.fixture
-def graph(tmp_path: Path, request: pytest.FixtureRequest) -> NeuromapsGraph:
+def graph(tmp_path: Path) -> NeuromapsGraph:
     """Create a graph fixture to use for tests."""
-    data_dir = request.config.getoption("--data-dir")
-    if data_dir is not None:
-        return NeuromapsGraph(runner="auto", data_dir=Path(data_dir).resolve())
-
-    graph = NeuromapsGraph(_testing=True)
+    graph = NeuromapsGraph(runner="auto", data_dir=tmp_path / ".cache", _testing=True)
 
     def _load_dict(paths: tuple[Path, ...]) -> list[dict[str, Any]]:
         return [yaml.safe_load(path.read_bytes()) for path in paths]
diff --git a/tests/unit/graph/test_graph.py b/tests/unit/graph/test_graph.py
index 50c52d4..bc9d128 100644
--- a/tests/unit/graph/test_graph.py
+++ b/tests/unit/graph/test_graph.py
@@ -65,6 +65,7 @@ def test_graph_build_yaml(self, tmp_path: Path) -> None:
     def test_graph_build(self, graph: NeuromapsGraph) -> None:
         """Test graph initialization."""
         info = graph.utils.get_graph_info()
+        assert graph.data_dir.exists()
         assert info["num_nodes"] > 0
         assert info["num_edges"] >= 0
         assert info["num_surfaces"] > 0
diff --git a/tests/unit/graph/test_model.py b/tests/unit/graph/test_model.py
index 5edf528..e1ede9a 100644
--- a/tests/unit/graph/test_model.py
+++ b/tests/unit/graph/test_model.py
@@ -2,7 +2,9 @@
 
 from __future__ import annotations
 
+from pathlib import Path
 from typing import TYPE_CHECKING, Any, Protocol
+from unittest.mock import MagicMock, patch
 
 import pytest
 
@@ -10,7 +12,6 @@
 
 if TYPE_CHECKING:
     from collections.abc import Callable
-    from pathlib import Path
 
 
 @pytest.fixture
@@ -107,15 +108,31 @@ def test_validate_and_fetch(
         obj = model_cls(
             name="test",
             description="testing description",
-            file_path=tmp_file,
+            uri=str(tmp_file),
+            file_path=Path("abc"),
             **extra_kwargs,
         )
+        assert obj.file_path.name == "abc"
+        assert obj.fetch() == tmp_file
+        assert obj.file_path == tmp_file
+
+    def test_fetch_existing_file_path(self, tmp_file: Path) -> None:
+        """Test resource instantiation and fetching."""
+        obj = models.SurfaceAtlas(
+            name="test",
+            description="testing description",
+            space="Yerkes19",
+            density="32k",
+            hemisphere="left",
+            resource_type="surf_atlas",
+            file_path=tmp_file,
+        )
         assert obj.file_path == tmp_file
         assert obj.fetch() == tmp_file
 
-    def test_missing_file(self) -> None:
+    def test_missing_file_no_uri(self) -> None:
         """Test missing file raises error."""
-        with pytest.raises(FileNotFoundError, match="File path does not exist"):
+        with pytest.raises(FileNotFoundError, match="cannot be fetched"):
             models.SurfaceAtlas(
                 name="invalid",
                 description="missing",
@@ -124,7 +141,26 @@ def test_missing_file(self) -> None:
                 density="32k",
                 hemisphere="left",
                 resource_type="SurfaceAtlas",
-            )
+            ).fetch()
+
+    @patch("neuromaps_prime.graph.models.download_and_validate")
+    def test_fetch_raises_if_download_fails(
+        self, mock_download: MagicMock, tmp_path: Path
+    ) -> None:
+        """Test fetch raises if download doesn't produce file."""
+        dest = tmp_path / "file.txt"
+        obj = models.SurfaceAnnotation(
+            name="test",
+            file_path=dest,
+            uri="https://files.osf.io/v1/resources/abcde",
+            space="Yerkes19",
+            density="32k",
+            hemisphere="left",
+            label="myelin",
+        )
+        mock_download.return_value = None
+        with pytest.raises(FileNotFoundError, match="does not exist"):
+            obj.fetch()
 
     def test_description_optional(self, tmp_file: Path) -> None:
         """Test that description defaults to None for annotation models."""
diff --git a/tests/unit/remote/test_osf.py b/tests/unit/remote/test_osf.py
new file mode 100644
index 0000000..80f9532
--- /dev/null
+++ b/tests/unit/remote/test_osf.py
@@ -0,0 +1,118 @@
+"""Unit tests for OSF remote storage."""
+
+from __future__ import annotations
+
+import hashlib
+from typing import TYPE_CHECKING
+from unittest.mock import MagicMock, patch
+
+import pytest
+
+from neuromaps_prime.remote.osf import OSFFileExtra, OSFFileMeta, OSFHashes, OSFStorage
+
+if TYPE_CHECKING:
+    from pathlib import Path
+
+MOCK_MD5 = hashlib.md5(b"test content", usedforsecurity=False).hexdigest()
+
+MOCK_META = {
+    "data": {
+        "attributes": {
+            "name": "test.txt",
+            "size": 12,
+            "extra": {"hashes": {"md5": MOCK_MD5}},
+        }
+    }
+}
+
+
+@pytest.fixture
+def mock_meta_response() -> MagicMock:
+    """Mock metadata response object."""
+    return MagicMock(json=MagicMock(return_value=MOCK_META))
+
+
+class TestOSFHashes:
+    """Test suite for validating OSF hashes."""
+
+    def test_sha256_optional(self) -> None:
+        """Test sha256 defaults to None when not provided."""
+        h = OSFHashes(md5=MOCK_MD5)
+        assert h.sha256 is None
+
+    def test_both_fields(self) -> None:
+        """Test both md5 and sha256 are stored correctly when provided."""
+        h = OSFHashes(md5=MOCK_MD5, sha256="abc123")
+        assert h.sha256 == "abc123"
+
+
+class TestOSFFileMeta:
+    """Test suite for OSF file metadata."""
+
+    def test_valid(self) -> None:
+        """Test metadata fields are correctly assigned on instantiation."""
+        meta = OSFFileMeta(
+            name="test.txt",
+            size=12,
+            extra=OSFFileExtra(hashes=OSFHashes(md5=MOCK_MD5)),
+        )
+        assert meta.name == "test.txt"
+        assert meta.extra.hashes.md5 == MOCK_MD5
+
+
+class TestOSFStorage:
+    """Test suite for OSFStorage download and metadata retrieval."""
+
+    @patch("neuromaps_prime.remote.osf.requests.get")
+    def test_get_meta(self, mock_get: MagicMock, mock_meta_response: MagicMock) -> None:
+        """Test get_meta returns parsed OSFFileMeta and calls correct URL."""
+        mock_get.return_value = mock_meta_response
+        meta = OSFStorage().get_meta("https://files.osf.io/v1/resources/abcde")
+        assert meta.name == "test.txt"
+        assert meta.extra.hashes.md5 == MOCK_MD5
+        mock_get.assert_called_once_with(
+            "https://files.osf.io/v1/resources/abcde",
+            params={"meta": ""},
+            timeout=90,
+        )
+
+    @patch("neuromaps_prime.remote.osf.requests.get")
+    def test_get_meta_raises_on_http_error(self, mock_get: MagicMock) -> None:
+        """Test get_meta propagates HTTP errors from the remote server."""
+        mock_get.return_value.raise_for_status.side_effect = Exception("HTTP Error")
+        with pytest.raises(Exception, match="HTTP Error"):
+            OSFStorage().get_meta("https://files.osf.io/v1/resources/abcde")
+
+    @patch("neuromaps_prime.remote.osf.requests.get")
+    def test_download_valid(
+        self, mock_get: MagicMock, mock_meta_response: MagicMock, tmp_path: Path
+    ) -> None:
+        """Test download writes correct bytes to dest when checksum matches."""
+        content = b"test content"
+        mock_download = MagicMock(iter_content=MagicMock(return_value=[content]))
+        mock_get.side_effect = [mock_meta_response, mock_download]
+        dest = tmp_path / "test.txt"
+        OSFStorage().download("https://files.osf.io/v1/resources/abcde", dest)
+        assert dest.read_bytes() == content
+
+    @patch("neuromaps_prime.remote.osf.requests.get")
+    def test_download_checksum_mismatch(
+        self, mock_get: MagicMock, mock_meta_response: MagicMock, tmp_path: Path
+    ) -> None:
+        """Test download raises ValueError when downloaded content fails checksum."""
+        mock_download = MagicMock(
+            iter_content=MagicMock(return_value=[b"wrong content"])
+        )
+        mock_get.side_effect = [mock_meta_response, mock_download]
+        with pytest.raises(ValueError, match="Checksum mismatch"):
+            OSFStorage().download(
+                "https://files.osf.io/v1/resources/abcde", tmp_path / "test.txt"
+            )
+
+    def test_default_chunk_size(self) -> None:
+        """Test chunk_size defaults to 8192."""
+        assert OSFStorage().chunk_size == 8192
+
+    def test_custom_chunk_size(self) -> None:
+        """Test chunk_size is correctly set when provided."""
+        assert OSFStorage(chunk_size=4096).chunk_size == 4096
diff --git a/tests/unit/test_fetcher.py b/tests/unit/test_fetcher.py
new file mode 100644
index 0000000..6ecd840
--- /dev/null
+++ b/tests/unit/test_fetcher.py
@@ -0,0 +1,47 @@
+"""Unit tests for remote fetcher."""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+from unittest.mock import MagicMock, patch
+
+import pytest
+
+from neuromaps_prime.fetcher import download_and_validate, id_storage
+
+if TYPE_CHECKING:
+    from pathlib import Path
+
+
+class TestIDStorage:
+    """Test suite for identifying storage location."""
+
+    def test_osf(self) -> None:
+        """Test downloading from osf storage."""
+        assert id_storage("https://osf.io/project") == "osf"
+
+    def test_unknown(self) -> None:
+        """Test None returned if unknown uri."""
+        assert id_storage("https://google.com") is None
+
+    def test_invalid(self) -> None:
+        """Test None returned if invalid."""
+        assert id_storage("") is None
+
+
+class TestDownloadAndValidate:
+    """Test suite for fetching and validating from remote uri."""
+
+    def test_unknown_uri_raises(self, tmp_path: Path) -> None:
+        """Test unidentifiable uri raises ValueError."""
+        with pytest.raises(ValueError, match="Could not identify storage"):
+            download_and_validate("https://google.com", tmp_path / "invalid.txt")
+
+    @patch("neuromaps_prime.fetcher.OSFStorage")
+    def test_osf_calls_download(self, mock_cls: MagicMock, tmp_path: Path) -> None:
+        """Test OSF download."""
+        mock_osf = mock_cls.return_value
+        mock_uri = "https://files.osf.io/v1/resources/abcde"
+        dest = tmp_path / "out.surf.gii"
+        download_and_validate(mock_uri, dest)
+        mock_osf.download.assert_called_once_with(mock_uri, dest)
diff --git a/uv.lock b/uv.lock
index c40581e..d1cb3f3 100644
--- a/uv.lock
+++ b/uv.lock
@@ -2,9 +2,12 @@ version = 1
 revision = 3
 requires-python = ">=3.11"
 resolution-markers = [
-    "python_full_version >= '3.14' and sys_platform == 'win32'",
-    "python_full_version >= '3.14' and sys_platform == 'emscripten'",
-    "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+    "python_full_version >= '3.15' and sys_platform == 'win32'",
+    "python_full_version >= '3.15' and sys_platform == 'emscripten'",
+    "python_full_version >= '3.15' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+    "python_full_version == '3.14.*' and sys_platform == 'win32'",
+    "python_full_version == '3.14.*' and sys_platform == 'emscripten'",
+    "python_full_version == '3.14.*' and sys_platform != 'emscripten' and sys_platform != 'win32'",
     "python_full_version < '3.14' and sys_platform == 'win32'",
     "python_full_version < '3.14' and sys_platform == 'emscripten'",
     "python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'",
@@ -19,6 +22,44 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/78/b6/6307fbef88d9b5ee7421e68d78a9f162e0da4900bc5f5793f6d3d0e34fb8/annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53", size = 13643, upload-time = "2024-05-20T21:33:24.1Z" },
 ]
 
+[[package]]
+name = "ast-serialize"
+version = "0.3.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/a9/9d/912fefab0e30aee6a3af8a62bbea4a81b29afa4ba2c973d31170620a26de/ast_serialize-0.3.0.tar.gz", hash = "sha256:1bc3ca09a63a021376527c4e938deedd11d11d675ce850e6f9c7487f5889992b", size = 60689, upload-time = "2026-04-30T23:24:48.104Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/6f/57/a54d4de491d6cdd7a4e4b0952cc3ca9f60dcefa7b5fb48d6d492debe1649/ast_serialize-0.3.0-cp314-cp314t-macosx_10_12_x86_64.whl", hash = "sha256:3a867927df59f76a18dc1d874a0b2c079b42c58972dca637905576deb0912e14", size = 1182966, upload-time = "2026-04-30T23:23:57.376Z" },
+    { url = "https://files.pythonhosted.org/packages/ee/9e/a5db014bb0f91b209236b57c429389e31290c0093532b8436d577699b2fa/ast_serialize-0.3.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:a6fb063bf040abf8321e7b8113a0554eda445ffc508aa51287f8808886a5ae22", size = 1171316, upload-time = "2026-04-30T23:23:59.63Z" },
+    { url = "https://files.pythonhosted.org/packages/15/59/fd55133e478c4326f60a11df02573bf7ccb2ac685810b50f1803d0f68053/ast_serialize-0.3.0-cp314-cp314t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5075cd8482573d743586779e5f9b652a015e37d4e95132d7e5a9bc5c8f483d8f", size = 1232234, upload-time = "2026-04-30T23:24:01.168Z" },
+    { url = "https://files.pythonhosted.org/packages/cc/79/0ca1d26357ecb4a697d74d00b73ef3137f24c140424125393a0de820eb09/ast_serialize-0.3.0-cp314-cp314t-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:41560b27794f4553b0f77811e9fb325b77db4a2b39018d437e09932275306e66", size = 1233437, upload-time = "2026-04-30T23:24:03.151Z" },
+    { url = "https://files.pythonhosted.org/packages/53/3e/7078ec94dd6e124b8e028ac77016a4f13c83fa1c145790f2e68f3816998b/ast_serialize-0.3.0-cp314-cp314t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b967c01ca74909c5d90e0fe4393401e2cc5da5ebd9a6262a19e45ffd3757dec8", size = 1440188, upload-time = "2026-04-30T23:24:04.717Z" },
+    { url = "https://files.pythonhosted.org/packages/21/16/cca7195ef55a012f8013c3442afa91d287a0a36dcf88b480b262475135b3/ast_serialize-0.3.0-cp314-cp314t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:424ebb8f46cd993f7cec4009d119312d8433dd90e6b0df0499cd2c91bdcc5af9", size = 1254211, upload-time = "2026-04-30T23:24:06.18Z" },
+    { url = "https://files.pythonhosted.org/packages/a0/0f/f3d4dfae67dee6580534361a6343367d34217e7d25cff858bd1d8f03b8ed/ast_serialize-0.3.0-cp314-cp314t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d14b1d566b56e2ee70b11fec1de7e0b94ec7cd83717ec7d189967841a361190e", size = 1255973, upload-time = "2026-04-30T23:24:07.772Z" },
+    { url = "https://files.pythonhosted.org/packages/14/41/55fbfe02c42f40fbe3e74eda167d977d555ff720ce1abfa08515236efd88/ast_serialize-0.3.0-cp314-cp314t-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:7ba30b18735f047ec11103d1ab92f4789cf1fea1e0dc89b04a2f5a0632fd79de", size = 1298629, upload-time = "2026-04-30T23:24:09.4Z" },
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