{
"cells": [
{
"cell_type": "markdown",
"id": "c00",
"metadata": {},
"source": [
"# 3. Cohorts and manifests\n",
"\n",
"Most analyses use more than one dataset. A cohort is the client's object for a set of datasets: you build it from\n",
"a query, a list of uids or a collection, inspect it from the catalog alone, join its tables into one `AnnData`,\n",
"and freeze it into a manifest that you can load again later and check against the catalog.\n",
"\n",
"The catalog changes between releases. Datasets get new versions, some are withdrawn, and new ones arrive. A\n",
"script that names data loosely, for example with the newest catalog and a search, can return other data a week\n",
"later. The sections below show how to make a selection that comes back the same.\n",
"\n",
"You will learn how to:\n",
"\n",
"- build a cohort from uids, study ids, a collection or a query, and combine cohorts\n",
"- summarise a cohort and check which columns are filled\n",
"- join the tables of several datasets into one `AnnData`, with matching gene ids and spatial coordinates\n",
"- freeze a cohort, write the manifest, rebuild the cohort from it and verify it\n",
"- tell a uid, a stem and a `canonical_key` apart, and see what changes between releases\n",
"- download the stores with a manifest that records the catalog version\n",
"\n",
"The downloads below add up to about 30 MB."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "c01",
"metadata": {
"execution": {
"iopub.execute_input": "2026-10-31T23:38:55.052161Z",
"iopub.status.busy": "2026-10-31T23:38:55.051789Z",
"iopub.status.idle": "2026-10-31T23:39:01.492214Z",
"shell.execute_reply": "2026-10-31T23:39:01.491110Z"
}
},
"outputs": [],
"source": [
"import json\n",
"import tempfile\n",
"import urllib.request\n",
"import warnings\n",
"from pathlib import Path\n",
"\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"import pandas as pd\n",
"import scanpy as sc\n",
"import spatialdata_plot # noqa: F401 (adds the .pl accessor to SpatialData)\n",
"\n",
"import sddb\n",
"from sddb import CatalogChangedError, CatalogUnavailableError, CohortManifest, Manifest, SpatialDataCohort\n",
"\n",
"cat = sddb.Catalog(version=\"2026-10-28\")\n",
"work = Path(tempfile.mkdtemp()) # the files this tutorial writes go here"
]
},
{
"cell_type": "markdown",
"id": "c02",
"metadata": {},
"source": [
"## Build a cohort\n",
"\n",
"There are four ways to build a cohort, and all of them return a `SpatialDataCohort`:\n",
"\n",
"- `cat.query(...)` and `cat.search(...)` filter the catalog ({doc}`01_find_and_filter`).\n",
"- `cat.cohort(uids=[...])` takes the datasets you name, for example from a supplementary table or an earlier\n",
" analysis. `cat.cohort(study_ids=[...])` takes every dataset of the studies you name.\n",
"- `cat.collection(slug)` takes the members of a collection, a grouping that the website shows as a page. The\n",
" slug is the last part of the page URL.\n",
"\n",
"A collection is a good start when a study deposited several samples together. The collection below is a GEO series of four\n",
"mouse Visium sections:"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "c03",
"metadata": {
"execution": {
"iopub.execute_input": "2026-10-31T23:39:01.496251Z",
"iopub.status.busy": "2026-10-31T23:39:01.495854Z",
"iopub.status.idle": "2026-10-31T23:39:01.517684Z",
"shell.execute_reply": "2026-10-31T23:39:01.516871Z"
}
},
"outputs": [
{
"data": {
"text/html": [
"
\n",
"\n",
"
\n",
" \n",
"
\n",
"
\n",
"
uid
\n",
"
study_id
\n",
"
tissue
\n",
"
n_obs
\n",
"
size_bytes
\n",
"
license
\n",
"
\n",
" \n",
" \n",
"
\n",
"
0
\n",
"
EMS0unVubRENrRu80000
\n",
"
geo:GSM4861204
\n",
"
trunk
\n",
"
192
\n",
"
4030097
\n",
"
ncbi-geo-policy
\n",
"
\n",
"
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"
1
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"
lyqwdGBZ3d0OlAIv0000
\n",
"
geo:GSM4861203
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"
trunk
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"
222
\n",
"
4352091
\n",
"
ncbi-geo-policy
\n",
"
\n",
"
\n",
"
2
\n",
"
h1okQyQN4GJd0I1l0000
\n",
"
geo:GSM4861205
\n",
"
trunk
\n",
"
178
\n",
"
3571112
\n",
"
ncbi-geo-policy
\n",
"
\n",
"
\n",
"
3
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"
x38XfjX03r2BgcCf0000
\n",
"
geo:GSM4861202
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"
trunk
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"
198
\n",
"
5107000
\n",
"
ncbi-geo-policy
\n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" uid study_id tissue n_obs size_bytes \\\n",
"0 EMS0unVubRENrRu80000 geo:GSM4861204 trunk 192 4030097 \n",
"1 lyqwdGBZ3d0OlAIv0000 geo:GSM4861203 trunk 222 4352091 \n",
"2 h1okQyQN4GJd0I1l0000 geo:GSM4861205 trunk 178 3571112 \n",
"3 x38XfjX03r2BgcCf0000 geo:GSM4861202 trunk 198 5107000 \n",
"\n",
" license \n",
"0 ncbi-geo-policy \n",
"1 ncbi-geo-policy \n",
"2 ncbi-geo-policy \n",
"3 ncbi-geo-policy "
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"series = cat.collection(\"geo-gse160137\")\n",
"series.to_df()[[\"uid\", \"study_id\", \"tissue\", \"n_obs\", \"size_bytes\", \"license\"]]"
]
},
{
"cell_type": "markdown",
"id": "c04",
"metadata": {},
"source": [
"`cohort()` checks every id before it builds anything, so a typo raises a `KeyError` that names the id, and you\n",
"find out before a download starts:"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "c05",
"metadata": {
"execution": {
"iopub.execute_input": "2026-10-31T23:39:01.521144Z",
"iopub.status.busy": "2026-10-31T23:39:01.520853Z",
"iopub.status.idle": "2026-10-31T23:39:01.526871Z",
"shell.execute_reply": "2026-10-31T23:39:01.525933Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\"unknown uid(s) not in catalog: ['x38XfjX03r2BgcCf0009']\"\n"
]
}
],
"source": [
"try:\n",
" cat.cohort(uids=[\"x38XfjX03r2BgcCf0000\", \"x38XfjX03r2BgcCf0009\"])\n",
"except KeyError as err:\n",
" print(err)"
]
},
{
"cell_type": "markdown",
"id": "c06",
"metadata": {},
"source": [
"Cohorts combine like sets. `|` is the union and `-` the difference, both by uid. `filter(column=value)` keeps\n",
"the rows with that value, and `where(mask)` keeps the rows where a boolean mask over `members` is true."
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "c07",
"metadata": {
"execution": {
"iopub.execute_input": "2026-10-31T23:39:01.529900Z",
"iopub.status.busy": "2026-10-31T23:39:01.529762Z",
"iopub.status.idle": "2026-10-31T23:39:01.591265Z",
"shell.execute_reply": "2026-10-31T23:39:01.590224Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"152 + 89 -> 241\n",
"133 silver; 115 with more than 3000 spots\n"
]
}
],
"source": [
"human_lung = cat.query(organism=\"human\", tissue=\"lung\", technology=\"Visium\")\n",
"mouse_lung = cat.query(organism=\"mouse\", tissue=\"lung\", technology=\"Visium\")\n",
"lung = human_lung | mouse_lung\n",
"print(len(human_lung), \"+\", len(mouse_lung), \"->\", len(lung))\n",
"print(len(lung.filter(tier=\"silver\")), \"silver;\", len(lung.where(lung.members[\"n_obs\"] > 3_000)), \"with more than 3000 spots\")"
]
},
{
"cell_type": "markdown",
"id": "c08",
"metadata": {},
"source": [
"## Inspect a cohort\n",
"\n",
"The methods below read only the catalog rows, so they run in well under a second and download nothing."
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "c09",
"metadata": {
"execution": {
"iopub.execute_input": "2026-10-31T23:39:01.594248Z",
"iopub.status.busy": "2026-10-31T23:39:01.594099Z",
"iopub.status.idle": "2026-10-31T23:39:01.598724Z",
"shell.execute_reply": "2026-10-31T23:39:01.597817Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"{'n_objects': 241,\n",
" 'n_studies': 239,\n",
" 'n_without_study_id': 0,\n",
" 'technologies': ['Visium']}"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"lung.summary()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "c10",
"metadata": {
"execution": {
"iopub.execute_input": "2026-10-31T23:39:01.601202Z",
"iopub.status.busy": "2026-10-31T23:39:01.601063Z",
"iopub.status.idle": "2026-10-31T23:39:01.609231Z",
"shell.execute_reply": "2026-10-31T23:39:01.608241Z"
}
},
"outputs": [
{
"data": {
"text/html": [
"
\n",
"\n",
"
\n",
" \n",
"
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"
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"
disease
\n",
"
n
\n",
"
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" \n",
" \n",
"
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"
0
\n",
"
normal
\n",
"
72
\n",
"
\n",
"
\n",
"
1
\n",
"
lung adenocarcinoma
\n",
"
31
\n",
"
\n",
"
\n",
"
2
\n",
"
unknown
\n",
"
19
\n",
"
\n",
"
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"
3
\n",
"
obsolete idiopathic pulmonary fibrosis
\n",
"
19
\n",
"
\n",
"
\n",
"
4
\n",
"
lung cancer
\n",
"
18
\n",
"
\n",
"
\n",
"
5
\n",
"
pulmonary fibrosis
\n",
"
15
\n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" disease n\n",
"0 normal 72\n",
"1 lung adenocarcinoma 31\n",
"2 unknown 19\n",
"3 obsolete idiopathic pulmonary fibrosis 19\n",
"4 lung cancer 18\n",
"5 pulmonary fibrosis 15"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"lung.groupby(\"disease\").head(6)"
]
},
{
"cell_type": "markdown",
"id": "c11",
"metadata": {},
"source": [
"`summary()` counts studies by distinct `study_id`. For GEO data the `study_id` is the sample accession, so the\n",
"four sections of the series above count as four studies even though they come from one experiment:"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "c12",
"metadata": {
"execution": {
"iopub.execute_input": "2026-10-31T23:39:01.611357Z",
"iopub.status.busy": "2026-10-31T23:39:01.611206Z",
"iopub.status.idle": "2026-10-31T23:39:01.615475Z",
"shell.execute_reply": "2026-10-31T23:39:01.614620Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"{'n_objects': 4,\n",
" 'n_studies': 4,\n",
" 'n_without_study_id': 0,\n",
" 'technologies': ['Visium']}"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"series.summary()"
]
},
{
"cell_type": "markdown",
"id": "c13",
"metadata": {},
"source": [
"Keep the sample-level study ids in mind when you group datasets by study, for example to keep the samples of one experiment out of both\n",
"your training and your test data. The `collections` and `doi` columns group samples by series and by publication,\n",
"and `split(by=...)` accepts a function that returns such a key. The\n",
"{doc}`training cohort <../use_cases/training_cohort>` use case shows a split by GEO series.\n",
"\n",
"`coverage()` counts, for each column, how many members have a value. Look at it before you filter or group on a\n",
"column, because missing values never match a filter."
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "c14",
"metadata": {
"execution": {
"iopub.execute_input": "2026-10-31T23:39:01.617831Z",
"iopub.status.busy": "2026-10-31T23:39:01.617688Z",
"iopub.status.idle": "2026-10-31T23:39:01.631993Z",
"shell.execute_reply": "2026-10-31T23:39:01.631117Z"
}
},
"outputs": [
{
"data": {
"text/html": [
"
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"\n",
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" \n",
"
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present
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unknown
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"
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field
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"
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"
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" \n",
" \n",
"
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"
tissue
\n",
"
241
\n",
"
0
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"
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"
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"
disease
\n",
"
241
\n",
"
0
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"
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doi
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"
103
\n",
"
138
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"
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"
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"
publication_year
\n",
"
103
\n",
"
138
\n",
"
\n",
"
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"
condition
\n",
"
143
\n",
"
98
\n",
"
\n",
"
\n",
"
mpp
\n",
"
240
\n",
"
1
\n",
"
\n",
"
\n",
"
n_transcripts
\n",
"
0
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"
241
\n",
"
\n",
" \n",
"
\n",
"
"
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" present unknown\n",
"field \n",
"tissue 241 0\n",
"disease 241 0\n",
"doi 103 138\n",
"publication_year 103 138\n",
"condition 143 98\n",
"mpp 240 1\n",
"n_transcripts 0 241"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"coverage = lung.coverage().set_index(\"field\")\n",
"coverage.loc[[\"tissue\", \"disease\", \"doi\", \"publication_year\", \"condition\", \"mpp\", \"n_transcripts\"]]"
]
},
{
"cell_type": "markdown",
"id": "c15",
"metadata": {},
"source": [
"## One `AnnData` from many tables\n",
"\n",
"`to_anndata()` reads only the table of each member, not its images or shapes, and joins the tables into one\n",
"`AnnData` with an outer join on the genes. `obs[\"uid\"]` and `obs[\"study_id\"]` record which dataset each row came\n",
"from. `table=` picks the table by name, and the default is each member's `default_table`."
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "c16",
"metadata": {
"execution": {
"iopub.execute_input": "2026-10-31T23:39:01.634719Z",
"iopub.status.busy": "2026-10-31T23:39:01.634578Z",
"iopub.status.idle": "2026-10-31T23:39:08.967091Z",
"shell.execute_reply": "2026-10-31T23:39:08.965721Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"AnnData object with n_obs × n_vars = 790 × 53574\n",
" obs: 'in_tissue', 'array_row', 'array_col', 'spot_id', 'region', 'uid', 'study_id'\n",
" obsm: 'spatial'\n",
" layers: 'csc_counts'"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"adata = series.to_anndata()\n",
"adata"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "c17",
"metadata": {
"execution": {
"iopub.execute_input": "2026-10-31T23:39:08.971159Z",
"iopub.status.busy": "2026-10-31T23:39:08.970087Z",
"iopub.status.idle": "2026-10-31T23:39:08.979691Z",
"shell.execute_reply": "2026-10-31T23:39:08.978541Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"uid\n",
"lyqwdGBZ3d0OlAIv0000 222\n",
"x38XfjX03r2BgcCf0000 198\n",
"EMS0unVubRENrRu80000 192\n",
"h1okQyQN4GJd0I1l0000 178\n",
"Name: count, dtype: int64"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"adata.obs[\"uid\"].value_counts()"
]
},
{
"cell_type": "markdown",
"id": "c18",
"metadata": {},
"source": [
"### Gene ids: `gene_key=`\n",
"\n",
"Sources name genes differently. 10x data and most GEO uploads use gene symbols as `var_names`, and HEST uses\n",
"Ensembl ids. Two such tables share no column names, so an outer join puts the same gene in two columns. The next\n",
"cohort pairs a GEO Visium section of a human pancreas (symbols) with a HEST Visium section of human skin (Ensembl\n",
"ids):"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "c19",
"metadata": {
"execution": {
"iopub.execute_input": "2026-10-31T23:39:08.982376Z",
"iopub.status.busy": "2026-10-31T23:39:08.982167Z",
"iopub.status.idle": "2026-10-31T23:39:08.995146Z",
"shell.execute_reply": "2026-10-31T23:39:08.994131Z"
}
},
"outputs": [
{
"data": {
"text/html": [
"
\n",
"\n",
"
\n",
" \n",
"
\n",
"
\n",
"
uid
\n",
"
source
\n",
"
tissue
\n",
"
n_obs
\n",
"
n_features
\n",
"
\n",
" \n",
" \n",
"
\n",
"
0
\n",
"
USx288NLowiqKbV30000
\n",
"
hest
\n",
"
skin of body
\n",
"
691
\n",
"
19850
\n",
"
\n",
"
\n",
"
1
\n",
"
qEP9pd4LlyKeufe20000
\n",
"
geo
\n",
"
pancreas
\n",
"
1142
\n",
"
17943
\n",
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\n",
" \n",
"
\n",
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],
"text/plain": [
" uid source tissue n_obs n_features\n",
"0 USx288NLowiqKbV30000 hest skin of body 691 19850\n",
"1 qEP9pd4LlyKeufe20000 geo pancreas 1142 17943"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"mixed = cat.cohort(uids=[\"qEP9pd4LlyKeufe20000\", \"USx288NLowiqKbV30000\"])\n",
"mixed.to_df()[[\"uid\", \"source\", \"tissue\", \"n_obs\", \"n_features\"]]"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "c20",
"metadata": {
"execution": {
"iopub.execute_input": "2026-10-31T23:39:08.997895Z",
"iopub.status.busy": "2026-10-31T23:39:08.997759Z",
"iopub.status.idle": "2026-10-31T23:39:16.489109Z",
"shell.execute_reply": "2026-10-31T23:39:16.487926Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(1833, 37793)\n",
"members share 0 genes, 0% of the smallest member's 17943; pass gene_key='ensembl' or 'symbol' to align gene ids across sources\n"
]
}
],
"source": [
"with warnings.catch_warnings(record=True) as caught:\n",
" warnings.simplefilter(\"always\")\n",
" as_stored = mixed.to_anndata()\n",
"print(as_stored.shape)\n",
"for warning in caught:\n",
" if \"share\" in str(warning.message):\n",
" print(warning.message)"
]
},
{
"cell_type": "markdown",
"id": "c21",
"metadata": {},
"source": [
"The two tables have 17943 and 19850 genes, and the joined table has 37793 columns, their sum. The client warns\n",
"when the members share fewer than half the genes of the smallest one. `gene_key=\"ensembl\"` renames every member's\n",
"genes to Ensembl ids before the join, using the column that holds them (`var[\"gene_ids\"]` in the GEO table).\n",
"`gene_key=\"symbol\"` does the same with symbols."
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "c22",
"metadata": {
"execution": {
"iopub.execute_input": "2026-10-31T23:39:16.492594Z",
"iopub.status.busy": "2026-10-31T23:39:16.492227Z",
"iopub.status.idle": "2026-10-31T23:39:23.174276Z",
"shell.execute_reply": "2026-10-31T23:39:23.172740Z"
}
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": "UserWarning: Variable names are not unique. To make them unique, call `.var_names_make_unique`.\n"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"(1833, 20035)\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": "UserWarning: gene_key='ensembl': dropped 0 features without an Ensembl id and 2 duplicates across 1 members\n"
},
{
"data": {
"text/html": [
"
\n",
"\n",
"
\n",
" \n",
"
\n",
"
\n",
"
original_var_name
\n",
"
\n",
" \n",
" \n",
"
\n",
"
ENSG00000000003
\n",
"
ENSG00000000003
\n",
"
\n",
"
\n",
"
ENSG00000000005
\n",
"
ENSG00000000005
\n",
"
\n",
"
\n",
"
ENSG00000000419
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"
ENSG00000000419
\n",
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\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" original_var_name\n",
"ENSG00000000003 ENSG00000000003\n",
"ENSG00000000005 ENSG00000000005\n",
"ENSG00000000419 ENSG00000000419"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"aligned = mixed.to_anndata(gene_key=\"ensembl\")\n",
"print(aligned.shape)\n",
"aligned.var[[\"original_var_name\"]].head(3)"
]
},
{
"cell_type": "markdown",
"id": "c23",
"metadata": {},
"source": [
"Now the two tables share their genes. Features without an Ensembl id are dropped, and a gene id that appears twice\n",
"in one table keeps its first column. The HEST table has two such repeats, and the warning reports them. The old\n",
"name stays in `var[\"original_var_name\"]`.\n",
"\n",
"### Spatial coordinates: `spatial=`\n",
"\n",
"Most tables store the position of each observation in `obsm[\"spatial\"]`. Some do not. The Allen Institute\n",
"MERSCOPE tables, for example, keep the cell positions only in the shapes element that the table annotates. The\n",
"default `spatial=\"auto\"` keeps a stored `obsm[\"spatial\"]` when it is complete, and otherwise uses the centres of\n",
"the annotated shapes. `spatial=\"obsm\"` keeps only what the table stores.\n",
"\n",
"The next cohort is two MERSCOPE sections of human basal ganglia from the Allen Institute. Each table also contains 15\n",
"blank control probes whose gene name is missing. A missing name cannot be joined on, so `to_anndata` drops those\n",
"features and says so in a warning."
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "c24",
"metadata": {
"execution": {
"iopub.execute_input": "2026-10-31T23:39:23.177824Z",
"iopub.status.busy": "2026-10-31T23:39:23.177436Z",
"iopub.status.idle": "2026-10-31T23:39:34.817434Z",
"shell.execute_reply": "2026-10-31T23:39:34.816145Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"dropped 30 features with a missing or empty var_name in members ['q2KtN8CbBD73UNei0000', 'rdngUwLr6XlVEmpD0000']; pass gene_key='ensembl' or 'symbol' to merge them instead\n",
"spatial='obsm': 35830 of 35830 cells without coordinates\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"dropped 30 features with a missing or empty var_name in members ['q2KtN8CbBD73UNei0000', 'rdngUwLr6XlVEmpD0000']; pass gene_key='ensembl' or 'symbol' to merge them instead\n",
"spatial='auto': 0 of 35830 cells without coordinates\n"
]
}
],
"source": [
"merscope = cat.cohort(uids=[\"rdngUwLr6XlVEmpD0000\", \"q2KtN8CbBD73UNei0000\"])\n",
"for mode in [\"obsm\", \"auto\"]:\n",
" with warnings.catch_warnings(record=True) as caught:\n",
" warnings.simplefilter(\"always\")\n",
" joined = merscope.to_anndata(spatial=mode)\n",
" print(*{str(w.message) for w in caught if \"var_name\" in str(w.message)}, sep=\"\\n\")\n",
" xy = joined.obsm.get(\"spatial\")\n",
" missing = joined.n_obs if xy is None else int(np.isnan(np.asarray(xy, dtype=float)).any(axis=1).sum())\n",
" print(f\"spatial={mode!r}: {missing} of {joined.n_obs} cells without coordinates\")"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "c25",
"metadata": {
"execution": {
"iopub.execute_input": "2026-10-31T23:39:34.820511Z",
"iopub.status.busy": "2026-10-31T23:39:34.820356Z",
"iopub.status.idle": "2026-10-31T23:39:55.775534Z",
"shell.execute_reply": "2026-10-31T23:39:55.774298Z"
}
},
"outputs": [
{
"data": {
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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, axes = plt.subplots(1, 2, figsize=(11, 4.5))\n",
"for ax, ds in zip(axes, merscope, strict=True):\n",
" member = ds.to_sdata()\n",
" table = member.tables[ds.default_table]\n",
" sc.pp.calculate_qc_metrics(table, percent_top=None, inplace=True) # adds obs[\"log1p_total_counts\"]\n",
" (\n",
" member\n",
" .pl.render_shapes(\"cell_circles\", color=\"log1p_total_counts\", table_name=ds.default_table)\n",
" .pl.show(\n",
" ax=ax,\n",
" frameon=False,\n",
" title=f\"{ds.uid}, {table.n_obs} cells\",\n",
" colorbar_params={\"label\": \"log(1 + counts per cell)\"},\n",
" )\n",
" )"
]
},
{
"cell_type": "markdown",
"id": "c26",
"metadata": {},
"source": [
"With `spatial=\"obsm\"` none of the MERSCOPE cells has a position. With the default every cell gets the centre of\n",
"its cell circle. The figure draws those cell circles from the two stores with spatialdata-plot, coloured by the\n",
"total counts per cell that `sc.pp.calculate_qc_metrics` adds to each table. A member that has neither a complete `obsm[\"spatial\"]`\n",
"nor annotated shapes keeps missing coordinates, and one warning names it.\n",
"\n",
"## Freeze a cohort\n",
"\n",
"`freeze()` pins a cohort to its exact members and returns a `CohortManifest`. The manifest records the full uid\n",
"of every member, the filter that built the cohort, the catalog it came from with the sha256 of the catalog file,\n",
"and a hash over the filter and the uids. Freezing reads nothing from the network."
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "c27",
"metadata": {
"execution": {
"iopub.execute_input": "2026-10-31T23:39:55.784356Z",
"iopub.status.busy": "2026-10-31T23:39:55.783954Z",
"iopub.status.idle": "2026-10-31T23:39:55.791887Z",
"shell.execute_reply": "2026-10-31T23:39:55.790751Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"sha256:bbf0062c54f9cfeb30a101d9d5b6088c1e0d7e34768bcec153b5346c1e3df67a\n",
"{'collection': 'geo-gse160137'}\n",
"https://github.com/theislab/spatialdata-db-client/releases/download/catalog-2026-10-28/catalog.parquet\n",
"sha256:8336a505c8a8384a3696eec573692ec1877c582533c13e9600dfde4c461dc3ff\n"
]
}
],
"source": [
"manifest = series.freeze()\n",
"print(manifest.hash)\n",
"print(manifest.filter)\n",
"print(manifest.source.url)\n",
"print(manifest.source.sha256)"
]
},
{
"cell_type": "markdown",
"id": "c28",
"metadata": {},
"source": [
"`write()` saves the manifest as JSON. The members are stored with all their catalog columns, and a cohort of more\n",
"than 200 members writes them to a parquet file next to the JSON. Keep the manifest with your results."
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "c29",
"metadata": {
"execution": {
"iopub.execute_input": "2026-10-31T23:39:55.794269Z",
"iopub.status.busy": "2026-10-31T23:39:55.794030Z",
"iopub.status.idle": "2026-10-31T23:39:55.801633Z",
"shell.execute_reply": "2026-10-31T23:39:55.800665Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"{'schema_version': '2',\n",
" 'source': {'url': 'https://github.com/theislab/spatialdata-db-client/releases/download/catalog-2026-10-28/catalog.parquet',\n",
" 'version': '2026-10-28',\n",
" 'sha256': 'sha256:8336a505c8a8384a3696eec573692ec1877c582533c13e9600dfde4c461dc3ff'},\n",
" 'filter': {'collection': 'geo-gse160137'},\n",
" 'hash': 'sha256:bbf0062c54f9cfeb30a101d9d5b6088c1e0d7e34768bcec153b5346c1e3df67a',\n",
" 'n_members': 4}"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"path = manifest.write(work / \"cohort.json\")\n",
"saved = json.loads(path.read_text())\n",
"{key: saved[key] for key in [\"schema_version\", \"source\", \"filter\", \"hash\", \"n_members\"]}"
]
},
{
"cell_type": "markdown",
"id": "c30",
"metadata": {},
"source": [
"`SpatialDataCohort.from_manifest()` rebuilds the cohort from the file without a catalog query, so it gives the\n",
"same members even after the catalog has changed:"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "c31",
"metadata": {
"execution": {
"iopub.execute_input": "2026-10-31T23:39:55.803907Z",
"iopub.status.busy": "2026-10-31T23:39:55.803758Z",
"iopub.status.idle": "2026-10-31T23:39:55.810022Z",
"shell.execute_reply": "2026-10-31T23:39:55.809094Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"same members: True\n",
"same hash: True\n"
]
}
],
"source": [
"restored = SpatialDataCohort.from_manifest(CohortManifest.load(path))\n",
"print(restored)\n",
"print(\"same members:\", list(restored.members[\"uid\"]) == list(series.members[\"uid\"]))\n",
"print(\"same hash:\", restored.freeze().hash == manifest.hash)"
]
},
{
"cell_type": "markdown",
"id": "c32",
"metadata": {},
"source": [
"## Verify a cohort\n",
"\n",
"A frozen cohort can still go stale in two ways: the catalog file it came from can change, and a store can stop\n",
"resolving when a dataset is republished. `verify()` checks both. First it downloads the catalog again from the\n",
"recorded URL and compares its sha256 with the recorded one. Then it checks that every member's store exists."
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "c33",
"metadata": {
"execution": {
"iopub.execute_input": "2026-10-31T23:39:55.812164Z",
"iopub.status.busy": "2026-10-31T23:39:55.812016Z",
"iopub.status.idle": "2026-10-31T23:39:56.064094Z",
"shell.execute_reply": "2026-10-31T23:39:56.062460Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"verified\n"
]
}
],
"source": [
"restored.verify() # returns None when the catalog is unchanged and every store resolves\n",
"print(\"verified\")"
]
},
{
"cell_type": "markdown",
"id": "c34",
"metadata": {},
"source": [
"Each failure raises its own error:\n",
"\n",
"- `CatalogChangedError` when a dated release no longer has the recorded sha256. For the rolling `catalog-latest`\n",
" a change is expected, so `verify()` only warns.\n",
"- `CatalogUnavailableError` when the catalog URL cannot be fetched. `verify()` never falls back to a cached copy,\n",
" because a cached copy cannot show that the published file changed.\n",
"- `CohortDriftError` when a member's store no longer resolves. Its `drifted` attribute maps each uid to the\n",
" reason.\n",
"\n",
"To see the first two, we copy the catalog file to a local folder, open it with `Catalog.from_file` and freeze the\n",
"same cohort from it. Then we change the file and verify, and finally delete the file and verify again."
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "c35",
"metadata": {
"execution": {
"iopub.execute_input": "2026-10-31T23:39:56.067849Z",
"iopub.status.busy": "2026-10-31T23:39:56.067427Z",
"iopub.status.idle": "2026-10-31T23:39:56.928106Z",
"shell.execute_reply": "2026-10-31T23:39:56.927023Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"CatalogChangedError: catalog at /tmp/sddb-docs-tmp/tmpl_vucjtw/catalog-2026-10-28.parquet was modified after the cohort was frozen: ...\n",
"CatalogUnavailableError: FileNotFoundError: catalog not found: /tmp/sddb-docs-tmp/tmpl_vucjtw/catalog-202\n"
]
}
],
"source": [
"local_file = work / \"catalog-2026-10-28.parquet\"\n",
"urllib.request.urlretrieve(cat.url, local_file)\n",
"local = sddb.Catalog.from_file(local_file)\n",
"frozen = local.collection(\"geo-gse160137\")\n",
"\n",
"# Change the file: drop one row that is not in the cohort.\n",
"rows = pd.read_parquet(local_file)\n",
"rows[rows[\"uid\"] != rows[\"uid\"].iloc[-1]].to_parquet(local_file)\n",
"try:\n",
" frozen.verify()\n",
"except CatalogChangedError as err:\n",
" print(\"CatalogChangedError:\", str(err)[:110], \"...\")\n",
"\n",
"local_file.unlink()\n",
"try:\n",
" frozen.verify()\n",
"except CatalogUnavailableError as err:\n",
" print(\"CatalogUnavailableError:\", err.reason[:80])"
]
},
{
"cell_type": "markdown",
"id": "c36",
"metadata": {},
"source": [
"`from_manifest(m, catalog=cat)` runs the same sha256 check against a catalog you already opened, so you can check\n",
"a manifest without a second download.\n",
"\n",
"## Releases, uids, stems and canonical keys\n",
"\n",
"`Catalog()` without `version` reads `catalog-latest`, which changes with every release.\n",
"`Catalog(version=\"2026-10-28\")` reads the dated release, which does not change. A dataset can be named in three\n",
"ways:\n",
"\n",
"- The uid, such as `qEP9pd4LlyKeufe20000`, has 20 characters and names one version of one dataset. The last four\n",
" characters count the versions.\n",
"- The stem is the first 16 characters of the uid. `Catalog.dataset` resolves a stem to whichever version the\n",
" catalog you opened has, so the same stem can give different data in a later release.\n",
"- The `canonical_key`, such as `geo:GSM8915497`, names the source record. It usually survives a new version of the\n",
" dataset, but not every dataset has one.\n",
"\n",
"To see how much changes between releases, compare the 2026-10-28 release with the one from 16 October 2026:"
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "c37",
"metadata": {
"execution": {
"iopub.execute_input": "2026-10-31T23:39:56.931212Z",
"iopub.status.busy": "2026-10-31T23:39:56.931063Z",
"iopub.status.idle": "2026-10-31T23:39:57.542292Z",
"shell.execute_reply": "2026-10-31T23:39:57.541252Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1774 datasets on 2026-10-16, 6087 on 2026-10-28\n",
"84 datasets have a new version (new uid, same stem)\n",
"138 stems from 2026-10-16 are not in 2026-10-28\n",
"39 of those have a canonical_key that is still in the catalog\n"
]
}
],
"source": [
"old = sddb.Catalog(version=\"2026-10-16\").to_df()\n",
"new = cat.to_df()\n",
"old_stem, new_stem = old[\"uid\"].str[:16], new[\"uid\"].str[:16]\n",
"\n",
"same_stem = old.assign(stem=old_stem).merge(new.assign(stem=new_stem), on=\"stem\", suffixes=(\"_old\", \"_new\"))\n",
"reversioned = same_stem[same_stem[\"uid_old\"] != same_stem[\"uid_new\"]]\n",
"withdrawn = old[~old_stem.isin(set(new_stem))]\n",
"print(len(old), \"datasets on 2026-10-16,\", len(new), \"on 2026-10-28\")\n",
"print(len(reversioned), \"datasets have a new version (new uid, same stem)\")\n",
"print(len(withdrawn), \"stems from 2026-10-16 are not in 2026-10-28\")\n",
"print(int(withdrawn[\"canonical_key\"].isin(set(new[\"canonical_key\"].dropna())).sum()), \"of those have a canonical_key that is still in the catalog\")"
]
},
{
"cell_type": "markdown",
"id": "c38",
"metadata": {},
"source": [
"A uid from the older release is not in the newer one when the dataset got a new version. Its stem resolves to the\n",
"new version:"
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "c39",
"metadata": {
"execution": {
"iopub.execute_input": "2026-10-31T23:39:57.545323Z",
"iopub.status.busy": "2026-10-31T23:39:57.545165Z",
"iopub.status.idle": "2026-10-31T23:39:57.558144Z",
"shell.execute_reply": "2026-10-31T23:39:57.557206Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"KeyError: \"uid not in catalog: 'IlEA4ms6c9S1OvBg0004'\"\n",
"IlEA4ms6c9S1OvBg -> IlEA4ms6c9S1OvBg0005\n"
]
}
],
"source": [
"old_uid, new_uid = reversioned.iloc[0][[\"uid_old\", \"uid_new\"]]\n",
"try:\n",
" cat.dataset(old_uid)\n",
"except KeyError as err:\n",
" print(\"KeyError:\", err)\n",
"print(old_uid[:16], \"->\", cat.dataset(old_uid[:16]).uid)"
]
},
{
"cell_type": "markdown",
"id": "c40",
"metadata": {},
"source": [
"The `canonical_key` helps when a dataset was uploaded again under a new stem, but it is no guarantee. Of the 138\n",
"stems that are gone, only 39 have a `canonical_key` that the newer release still has, and some datasets have no\n",
"key at all.\n",
"\n",
"`check_updates(catalog)` lists the members of a cohort that a catalog has replaced with a newer version, as\n",
"`{old uid: new uid}`. Run it with the newest catalog to see whether a frozen cohort is out of date:"
]
},
{
"cell_type": "code",
"execution_count": 23,
"id": "c41",
"metadata": {
"execution": {
"iopub.execute_input": "2026-10-31T23:39:57.560965Z",
"iopub.status.busy": "2026-10-31T23:39:57.560821Z",
"iopub.status.idle": "2026-10-31T23:39:57.715196Z",
"shell.execute_reply": "2026-10-31T23:39:57.714337Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"{'IlEA4ms6c9S1OvBg0004': 'IlEA4ms6c9S1OvBg0005',\n",
" 'iHSXYBFbeAMN3zxa0000': 'iHSXYBFbeAMN3zxa0001',\n",
" 'xTLyS1AdjfKzI25v0000': 'xTLyS1AdjfKzI25v0001'}"
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"old_cohort = sddb.Catalog(version=\"2026-10-16\").cohort(uids=list(reversioned[\"uid_old\"].iloc[:3]))\n",
"old_cohort.check_updates(cat, warn=False)"
]
},
{
"cell_type": "markdown",
"id": "c42",
"metadata": {},
"source": [
"For a result you want to reproduce, record the release date and the full uids, or keep the manifest from\n",
"`freeze()`. Use a stem or a `canonical_key` only to look up the current version of a dataset, and record the uid\n",
"that comes back.\n",
"\n",
"## Download with a manifest\n",
"\n",
"`download(dest)` copies every member's store to `dest/.zarr` and writes `dest/manifest.json`. It runs in\n",
"parallel and can be resumed: a second call skips the stores that are complete. `pin_versions=True` records the\n",
"catalog release in the manifest, and a later download into the same folder from another release raises\n",
"`ManifestVersionMismatch` unless you pass `allow_version_change=True`."
]
},
{
"cell_type": "code",
"execution_count": 24,
"id": "c43",
"metadata": {
"execution": {
"iopub.execute_input": "2026-10-31T23:39:57.717699Z",
"iopub.status.busy": "2026-10-31T23:39:57.717545Z",
"iopub.status.idle": "2026-10-31T23:39:59.665087Z",
"shell.execute_reply": "2026-10-31T23:39:59.663961Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"catalog_version: 2026-10-28\n",
"EMS0unVubRENrRu80000 complete 4.0 MB\n",
"lyqwdGBZ3d0OlAIv0000 complete 4.4 MB\n",
"h1okQyQN4GJd0I1l0000 complete 3.6 MB\n",
"x38XfjX03r2BgcCf0000 complete 5.1 MB\n"
]
}
],
"source": [
"data = work / \"gse160137\"\n",
"downloaded = series.download(data, pin_versions=True)\n",
"print(\"catalog_version:\", downloaded.catalog_version)\n",
"for entry in downloaded.entries:\n",
" print(entry.uid, entry.status, f\"{entry.size_bytes / 1e6:.1f} MB\")"
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "c44",
"metadata": {
"execution": {
"iopub.execute_input": "2026-10-31T23:39:59.667304Z",
"iopub.status.busy": "2026-10-31T23:39:59.667116Z",
"iopub.status.idle": "2026-10-31T23:39:59.679195Z",
"shell.execute_reply": "2026-10-31T23:39:59.677911Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"['EMS0unVubRENrRu80000.zarr',\n",
" 'h1okQyQN4GJd0I1l0000.zarr',\n",
" 'lyqwdGBZ3d0OlAIv0000.zarr',\n",
" 'manifest.json',\n",
" 'x38XfjX03r2BgcCf0000.zarr']"
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"again = series.download(data, pin_versions=True) # nothing to fetch, every store is complete\n",
"sorted(p.name for p in data.iterdir())"
]
},
{
"cell_type": "markdown",
"id": "c45",
"metadata": {},
"source": [
"`Manifest.read()` loads the file, and `refetch(dest)` copies the recorded stores again from the recorded URLs, for\n",
"example on another machine. The sha256 in each entry covers the file names and sizes of the store, not the file\n",
"contents."
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "c46",
"metadata": {
"execution": {
"iopub.execute_input": "2026-10-31T23:39:59.681876Z",
"iopub.status.busy": "2026-10-31T23:39:59.681484Z",
"iopub.status.idle": "2026-10-31T23:39:59.688928Z",
"shell.execute_reply": "2026-10-31T23:39:59.687455Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"[('EMS0unVubRENrRu80000', 'complete', '186ae4615290'),\n",
" ('lyqwdGBZ3d0OlAIv0000', 'complete', '6747d2170781'),\n",
" ('h1okQyQN4GJd0I1l0000', 'complete', '2eb809f75d0c'),\n",
" ('x38XfjX03r2BgcCf0000', 'complete', 'e8504e7e19af')]"
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"recorded = Manifest.read(data / \"manifest.json\")\n",
"[(entry.uid, entry.status, entry.sha256[:12]) for entry in recorded.entries]"
]
},
{
"cell_type": "markdown",
"id": "c47",
"metadata": {},
"source": [
"`to_list()` and `to_dict()` open the members as `SpatialData` objects, from the cache or, with `dest=`, from a\n",
"folder laid out like `download()`. They accept `elements=` like `Dataset.to_sdata`."
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "c48",
"metadata": {
"execution": {
"iopub.execute_input": "2026-10-31T23:39:59.691601Z",
"iopub.status.busy": "2026-10-31T23:39:59.691217Z",
"iopub.status.idle": "2026-10-31T23:40:00.743413Z",
"shell.execute_reply": "2026-10-31T23:40:00.742316Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"{'EMS0unVubRENrRu80000': ['table'],\n",
" 'lyqwdGBZ3d0OlAIv0000': ['table'],\n",
" 'h1okQyQN4GJd0I1l0000': ['table'],\n",
" 'x38XfjX03r2BgcCf0000': ['table']}"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"by_uid = series.to_dict(dest=data)\n",
"{uid: list(sdata.tables) for uid, sdata in by_uid.items()}"
]
},
{
"cell_type": "markdown",
"id": "c49",
"metadata": {},
"source": [
"## Summary\n",
"\n",
"- Build cohorts with `query`, `cohort(uids=...)`, `cohort(study_ids=...)` or `collection(slug)`, and inspect\n",
" them with `summary`, `groupby` and `coverage` before you download.\n",
"- For GEO data a `study_id` is one sample, so group by `collections` or `doi` to keep an experiment together.\n",
"- `to_anndata(gene_key=...)` puts genes from different sources under one id type, and `spatial=\"auto\"` fills\n",
" coordinates from the shapes when a table stores none.\n",
"- Pin `Catalog(version=...)`, `freeze()` the cohort, keep the manifest and `verify()` it. A uid names one version,\n",
" a stem and a `canonical_key` name the latest one.\n",
"- `download(dest, pin_versions=True)` writes the stores with a manifest that records the release.\n",
"\n",
"Next: [4. Citations and licenses](04_citations_and_licences.ipynb), on what you must cite and what the licenses of\n",
"your cohort allow."
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.13.15"
},
"mystnb": {
"output_stderr": "show"
}
},
"nbformat": 4,
"nbformat_minor": 5
}