Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
30,948
datasets available to search
ShareScore release 0.9.0
Dataset results
30,948 results for “Profiler”
Chemical structures, Cell Painting and transcriptional profiles for compound bioactivity prediction.
<p>This is the related data, both input and produced for the paper <a href="https://doi.org/10.1101/2020.12.15.422887">"Predicting compound activity from phenotypic profiles and chemical structures"</a>.</p> <p>This data can be merged with <a href="https://github.com/CaicedoLab/2023_Moshkov_NatComm">paper's GitHub repository</a> for reproduction.</p> <p>Folders and files and are described below:</p> <pre><code>├── assay_data ├── assay_matrix_discrete_270_assays.csv Assay matrix with hits for assays (270) and compounds (16170). Note that this is the final file that we used to produce splits. ├── assay_metadata.csv Assay metadata ├── broad_ids.txt List of broad ids used in this study. That is an unfiltered list of compounds required by some analysis scripts. ├── smiles.txt Same as broad_ids.txt, but SMILES strings. ├── feature_data (for 16978 compounds, can be masked with ./misc/compounds16978to16170.npy) ├── cp.npz Classical chemical features ├── ge.npz Gene expression features ├── ge_scale.npz Gene expression scaled features ├── mo.npz Morphology features (not batch corrected) ├── mobc.npz Morphology features (batch corrected) ├── misc ├── compound_analysis.npz Compounds in the dataset identified as PAINS ├── compounds16978to16170.npy Used to filter features from the bigger set of compounds to the final one ├── fingerprints.npz Calculated fingerprints of compounds, those were then used to calculate similarity ├── similarity_fingerprints.npz Similarity matrix for compounds (16978) ├── population_normalized.csv.gz Well-level morphological profiles that were used for batch-correction ├── Table for PUMA Excel file with additional data and plots ├── predictions ├── scaffold_median(mean)_AUC.csv Aggregated median(mean) AUC scores over scaffold-based cross-validation splits. In the paper, median results were reported. ├── scaffold_median(mean)_EF.csv Aggregated median(mean) enrichment factor (EF) over scaffold-based cross-validation splits. In the paper, median results were reported. ├── toprank_chemical_cv{}_hitsnorm.csv Those files are needed to create enrichment plots and contain hit rate and top rank hit rate. ├── Each folder here stands for an experiment type, the number in the folder name is a number of the split. Inside each folder there are the following elements: ├── predictions Folder with predictions for each assay-compound pair for each modality ├── 2022_01_evaluation_all_data.csv File with AUC scores for each assay for the test set in the split ├── 2022_01_evaluation_all_data_EF.csv File with enrichment factor (EF) values for each assay for the test set in the split. Those files exist only for *chemical* folders. ├── assay_matrix_discrete_train(test)_old_scaff.csv Training and test subsets of data for the split. The first column contains broad_id. ├── assay_matrix_discrete_train(test)_old_scaff.csv Same, but SMILES strings in the first column. Those files are used as input to ChemProp! Experiments in this folder are the following: - chemical Scaffold-based 5-fold cross-validation splits, the main results in the paper are reported with this series of experiments. - chemical_bal Same splits as in chemical, but training were run with ChemProp built-in data balancing. - chemical_st Same splits as in chemical, but separate models were trained for each assay. - CV Random 5-fold cross-validation splits. - GE 5-fold cross-validation splits based on same-size clustering of gene expression features. - MOBC 5-fold cross-validation splits based on same-size clustering of batch-corrected morphology features. - random 10 random splits, ~80% of compounds in the training set and the rest in the test set. ├── splitting This folder contains numpy files which help to match compounds and features to create training and test sets for a split, which can be reused in the analysis notebook for data preparation. ├── scaffold_based_split.npz Splitting for scaffold-based splits. ├── random_split_{}.npz Random split indices of test set compounds (10 files). ├── cross_validation_indicies.npz Indices for random cross-validation splits ├── GE_clusters_size_constrained.npz Indicies of clusters of same-size clustering for gene-expression features. ├── MOBC_clusters_size_constrained.npz Indices of clusters of same-size clustering for batch-corrected morphology features.</code></pre> <p> </p>
The Jefferson Project 2017 water quality data from two vertical profiler stations in Lake George, NY, USA.
The Jefferson Project at Lake George – a partnership between Rensselaer Polytechnic Institute, IBM Research, and Lake George Association – combines Internet of Things technology and powerful analytics with science to create a new model for environmental monitoring and prediction. The project is building a computing platform that captures and analyzes data from a network of sensors tracking water quality and movement. These sensor data are combined with other monitoring and experimental data to create a thorough understanding of the factors that drive the lake’s food web and overall water quality. More information about The Jefferson Project is available at https://jeffersonproject.rpi.edu/ In 2017, The Jefferson Project deployed two vertical profiler stations on the lake, collecting data on water quality and meteorology. Meteorological data have been included with the Jefferson Project Weather Station dataset for 2017. These vertical profiler stations are named VP_AnthonysNose and VP_TeaIsland. The water quality data are collected by EXO2 Multi-parameter sonde sensors. The sensors collect data at 1 meter depth increments, starting at 1 meter and proceeding to 2 meters off bottom. The data is transferred in near real-time to an off-site database for monitoring and review. The data provided have undergone data correction by Jefferson Project researchers.
Flume Experiment Testing the Impact of Artificial Streambank Roots on Velocity, Reynold's Shear Stress, and Turbulent Kinetic Energy using an Acoustic Doppler Profiler
The data published here is expected to accompany one publicly available dissertation (Chapter 4 of dissertation) and one separate journal publication. Once published and available online, the metadata will be updated with the relevant article information. The journal article/dissertation will have additional information regarding the published datasets and the methods used to collect the data. All data collected from these studies, and the accompanying Acoustic Doppler Profiler MATLAB files, are presented here. Journal Article title: Impact of Flexible and Rigid Artificial Roots on Stream Hydrodynamics
The Jefferson Project 2018 water quality data from two vertical profiler stations in Lake George, NY, USA.
The Jefferson Project at Lake George -- a partnership between Rensselaer Polytechnic Institute, IBM Research, and Lake George Association -- combines Internet of Things technology and powerful analytics with science to create a new model for environmental monitoring and prediction. The project is building a computing platform that captures and analyzes data from a network of sensors tracking water quality and movement. These sensor data are combined with other monitoring and experimental data to create a thorough understanding of the factors that drive the lake's food web, hydrology, and water quality. More information about The Jefferson Project is available at https://jeffersonproject.rpi.edu/ In 2018, The Jefferson Project deployed two vertical profiler stations on the lake, collecting data on water quality and weather. Meteorological data have been included with the Jefferson Project Weather Station dataset for 2018. These vertical profiler stations are named VP_AnthonysNose and VP_TeaIsland. The water quality data are collected by YSI EXO2 Multi-parameter sonde sensors. The sensors collect data at 1 meter depth increments, starting at 1 meter and proceeding to 2 meters off bottom. The data is transferred in near real-time to an off-site database for monitoring and review. The data provided have undergone data correction by Jefferson Project researchers.
The Jefferson Project 2019 water quality data from three vertical profiler stations in Lake George, NY, USA.
The Jefferson Project at Lake George -- a partnership between Rensselaer Polytechnic Institute, IBM Research, and Lake George Association -- combines Internet of Things technology and powerful analytics with science to create a new model for environmental monitoring and prediction. The project is building a computing platform that captures and analyzes data from a network of sensors tracking water quality and movement. These sensor data are combined with other monitoring and experimental data to create a thorough understanding of the factors that drive the lake's food web, hydrology, and water quality. More information about The Jefferson Project is available at https://jeffersonproject.rpi.edu/ In 2019, The Jefferson Project deployed three vertical profiler stations on the lake, collecting data on water quality and weather. Meteorological data have been included with the Jefferson Project Weather Station dataset for 2019. These vertical profiler stations are named VP_AnthonysNose, VP_CalvesPen, and VP_TeaIsland. The water quality data are collected by a YSI EXO2 Multi-parameter sonde sensors. The sensors collect data at 1 meter depth increments, starting at 1 meter and proceeding to 2 meters off bottom. The data are transferred in near real-time to an off-site database for monitoring and review. The data provided here have undergone data correction by Jefferson Project researchers.
Temperature and dissolved oxygen profiles for three Swiss lakes: 1972-2016
Understanding change through time in dissolved oxygen (DO) in lakes requires the use of long-term historical monitoring data. The data contained herein include historical temperature and dissolved oxygen profiles from three Swiss lakes collected between the years 1972 to 2017. These three lakes are a subset of a larger set of lakes that were used to examine the relationship between long-term changes in the timing of lake stratification and changes in the amount of oxygen-depleted water present in the water column.
GHG-depths: Greenhouse gas depth-profile data in 522 lakes worldwide
Lakes, ponds, and reservoirs (hereafter: “lakes”) are significant sources of the greenhouse gases carbon dioxide (CO2) and methane (CH4). Emissions of CO2 and CH4 from lakes are regulated in part by in-lake processes, including the production and storage of gases in the lower parts of the water column (bottom waters). However, while substantial efforts have been made to improve estimates of greenhouse gas emissions from lakes, limited data on gas concentrations along depth profiles have prevented the incorporation of bottom-water processes in global emission estimates. Here, we present GHG-depths: the largest existing dataset of depth-profile CO2 and CH4 measurements worldwide, including 522 lakes across 38 countries and all seven continents. These data include contributions from 45 research teams and 56 published studies, totaling 2558 discrete sampling events. As global change continues to alter biogeochemical cycling in lakes, these data can help improve mechanistic models to better predict greenhouse gas production and emission from lakes worldwide.
Stream cross-section profiles in the Andrews Experimental Forest and Hagan Block RNA 1978 to 2011
This database consists of periodically resurveyed cross-section profiles for 5 sites (stream reaches) located in the H.J. Andrews Experimental Forest on 3rd to 5th-order stream channels over the period 1978-present, and also includes historical data from Shorter Creek within the Andrews and two sites (North and South) on the Hagan Creek in the Hagan Block RNA. Each of these sites includes 10-20 cross sections spaced about 10-50 m apart. Observations include cross-sectional geometry based on surveys relative to a horizontal line between permanent stations on opposite sides of the stream, substrate type based on pebble counts and notes on extent of bedrock, and photo-documentation of the sites. Sampling was primarily done annually until 2000 and opportunistically since then depending on funding and noted geomorphic changes in response to floods. Sampling at least every 5 years is desired. Data tables cover 1. elevation and distance measurements between fixed end points, 2. pebble counts for particle size, 3. measures of extent of exposed bedrock, 4. vegetation (1984 only) in terms of % cover by spp., % cover of substrate types, and plant measurements for making biomass estimates with allometric equations, but such estimates are not presented. The original raw cross-section data for these sites has been adjusted to align profiles for consecutive year comparisons at each cross-section location to correct for imprecision in the survey methodology. John Faustini, in 1998, further corrected this cross-section data from 1978-1998 for the five main sites in database GS019. Arianna Goodman, in 2021, performed additional corrections on the data, including more recent collections, 1978-2011, also in database GS019. The Shorter Creek cross-section surveys took place in 1978-1982 only. The Shorter Creek cross-section surveys took place in 1978-1982 only.
Chemical profiles of Crescent Stream, McMurdo Dry Valleys, Antarctica (2021-2023).
This data package contains chemical profiles (anions, cations, nutrients, and dissolved organic carbon (DOC)) from water samples collected during the austral summers of 2021-2022 and 2022-2023 in Crescent Stream, located in the McMurdo Dry Valleys of Antarctica. Samples were collected from the F8 gage and from the east and west branches of Crescent Stream, just above their confluence. Grab samples were analyzed according to the McMurdo Dry Valleys LTER core stream chemistry protocols. In December 2021, permafrost degradation was observed along the banks of the west branch, with a prior degradation event documented at the same location in January 2012. This data package supports a pending publication by Wright et al., examining the impacts of permafrost degradation on stream chemistry.
Cascade Project at North Temperate Lakes LTER: Weekly dissolved methane profiles (2018, 2019, and 2024)
Weekly profiles of dissolved methane concentrations, dissolved oxygen, temperature, and light were measured during three summers (2018, 2019, and 2024) in two north temperate lakes. One of the lakes was experimentally enriched with nitrogen and phosphorus during two summers (2019 and 2024), and darkened using a blue dye in one summer (2024). The other lake was an unmanipulated reference. Using this series of whole-lake enrichment and shading experiments across three years with varying ice phenology, we assessed how eutrophication and ice cover affect within-year methane storage.
Landscape Position Project at North Temperate Lakes LTER: Vertical Lake Profiles 1998 - 1999
Parameters characterizing the chemical limnology and spatial attributes of 45 lakes were surveyed as part of the Landscape Position Project. Parameters are measured at or close to the deepest part of the lake. A vertical profile of temperature, dissolved oxygen, and conductivity are collected at 1 meter increments Sampling Frequency: generally monthly for one summer; for some lakes, one or two samples in one summer Number of sites: 45
SBC LTER: Ocean: Ocean Currents and Biogeochemistry: Nearshore water profiles (monthly CTD and chemistry), ongoing since 2000
This data package contains water chemistry measurements taken monthly at these reefs in the nearshore areas of the Santa Barbra Channel, CA, USA: Arroyo Quemado, Bullito, Naples, Arroyo Burro, Mohawk and Carpinteria. Measurements include standard CTD parameters, nutrients, pigments, particulate CN, total dissolved N and P, stable isotopes of C and N (not all parameters are measured at all stations). Sampling began in November 2000. Some stations are sampled only occasionally. During the first 2 years, CTD data were collected with a SBE19 Seacat Profiler and water samples with a pump. Starting in February 2003, a SBE19-Plus with a rosette sampler was used. There are 3 tables in this dataset. Water chemistry and profiles from "registered stations" (see geographic coverage) are in 2 tables with "registered" in their name. CTD profiles are often collected ad hoc, or as "stations of opportunity". These have been collected in a third table as "non-registered". The station codes for these may be reused, and are not recorded in metadata (but can be found in data).
SBC LTER: CTD profiles from UNOLS cruises in the Santa Barbara Channel: LTER01, 2001-03-20 to 2001-03-26
The data described here were collected on LTER01 which took place from 2001-03-20 to 2001-03-26 on the RV Pt. Sur. Cruises have been conducted in the Santa Barbara Channel, California, USA, 3-4 times per year since March, 2001 and are approximately 7 days in length. There are 4 basic types of measurements: Profiles at 25 grid stations unique to the SBCLTER and 7 cross-channel stations (also occupied by the Plumes and Blooms project). Measurements include primary production, basic CTD parameters (Seabird 911-plus), inorganic nutrients, phytoplankton pigments, particulate organic carbon and nitrogen, natural abundances of N and C isotopes, and occasionally biogenic and lithogenic silica, optics, and/or dissolved organic carbon. Two-dimensional sections of oceanic constituents are recorded in the top 120m with an undulating towed CTD scanning system (Scanfish) on both along shore and cross-channel transects. Underway measurements: fluorometry, salinity and temperature are collected at a depth of 3m with a flow-through system which also includes continuous climate measurements. Underway acoustic dopler current profiles were collected using a RDInstruments Workhorse 300kHz ADCP. On Cruise LTER01, additional domoic acid samples were collected we saw some weird scum. On this cruise, additional stations and are identified as WS-#
SBC LTER: CTD profiles from UNOLS cruises in the Santa Barbara Channel: LTER02,2001-09-07 to 2001-09-15
The data described here were collected on LTER02 which took place from 2001-09-07 to 2001-09-15 on the RV Pt. Sur. Cruises have been conducted in the Santa Barbara Channel, California, USA, 3-4 times per year since March, 2001 and are approximately 7 days in length. There are 4 basic types of measurements: Profiles at 25 grid stations unique to the SBCLTER and 7 cross-channel stations (also occupied by the Plumes and Blooms project). Measurements include primary production, basic CTD parameters (Seabird 911-plus), inorganic nutrients, phytoplankton pigments, particulate organic carbon and nitrogen, natural abundances of N and C isotopes, and occasionally biogenic and lithogenic silica, optics, and/or dissolved organic carbon. Two-dimensional sections of oceanic constituents are recorded in the top 120m with an undulating towed CTD scanning system (Scanfish) on both along shore and cross-channel transects. Underway measurements: fluorometry, salinity and temperature are collected at a depth of 3m with a flow-through system which also includes continuous climate measurements. Underway acoustic dopler current profiles were collected using a RDInstruments Workhorse 300kHz ADCP. On Cruise LTER02, additional CTD samples were collected to cross-calibrate between CTD and scanfish. On this cruise, additional stations and are identified as calibcast
SBC LTER: CTD profiles from UNOLS cruises in the Santa Barbara Channel: LTER03, 2002-02-18 to 2002-02-27
The data described here were collected on LTER03 which took place from 2002-02-18 to 2002-02-27 on the RV Pt. Sur. Cruises have been conducted in the Santa Barbara Channel, California, USA, 3-4 times per year since March, 2001 and are approximately 7 days in length. There are 4 basic types of measurements: Profiles at 25 grid stations unique to the SBCLTER and 7 cross-channel stations (also occupied by the Plumes and Blooms project). Measurements include primary production, basic CTD parameters (Seabird 911-plus), inorganic nutrients, phytoplankton pigments, particulate organic carbon and nitrogen, natural abundances of N and C isotopes, and occasionally biogenic and lithogenic silica, optics, and/or dissolved organic carbon. Two-dimensional sections of oceanic constituents are recorded in the top 120m with an undulating towed CTD scanning system (Scanfish) on both along shore and cross-channel transects. Underway measurements: fluorometry, salinity and temperature are collected at a depth of 3m with a flow-through system which also includes continuous climate measurements. Underway acoustic dopler current profiles were collected using a RDInstruments Workhorse 300kHz ADCP. On Cruise LTER03, additional CTD samples were collected to over-sample the grid line.. On this cruise, additional stations and are identified as Stations 34 to 39
SBC LTER: CTD profiles from UNOLS cruises in the Santa Barbara Channel: LTER04, 2002-04-24 to 2002-05-03
The data described here were collected on LTER04 which took place from 2002-04-24 to 2002-05-03 on the RV Pt. Sur. Cruises have been conducted in the Santa Barbara Channel, California, USA, 3-4 times per year since March, 2001 and are approximately 7 days in length. There are 4 basic types of measurements: Profiles at 25 grid stations unique to the SBCLTER and 7 cross-channel stations (also occupied by the Plumes and Blooms project). Measurements include primary production, basic CTD parameters (Seabird 911-plus), inorganic nutrients, phytoplankton pigments, particulate organic carbon and nitrogen, natural abundances of N and C isotopes, and occasionally biogenic and lithogenic silica, optics, and/or dissolved organic carbon. Two-dimensional sections of oceanic constituents are recorded in the top 120m with an undulating towed CTD scanning system (Scanfish) on both along shore and cross-channel transects. Underway measurements: fluorometry, salinity and temperature are collected at a depth of 3m with a flow-through system which also includes continuous climate measurements. Underway acoustic dopler current profiles were collected using a RDInstruments Workhorse 300kHz ADCP. On Cruise LTER04, additional CTD and Rosette samples were collected to document areas off Naples, Arroyo Quemado and Bullito. On this cruise, additional stations and are identified as MO*, KO* and RO*
SBC LTER: CTD profiles from UNOLS cruises in the Santa Barbara Channel: LTER05, 2002-09-03 to 2002-09-12
The data described here were collected on LTER05 which took place from 2002-09-03 to 2002-09-12 on the RV Pt. Sur. Cruises have been conducted in the Santa Barbara Channel, California, USA, 3-4 times per year since March, 2001 and are approximately 7 days in length. There are 4 basic types of measurements: Profiles at 25 grid stations unique to the SBCLTER and 7 cross-channel stations (also occupied by the Plumes and Blooms project). Measurements include primary production, basic CTD parameters (Seabird 911-plus), inorganic nutrients, phytoplankton pigments, particulate organic carbon and nitrogen, natural abundances of N and C isotopes, and occasionally biogenic and lithogenic silica, optics, and/or dissolved organic carbon. Two-dimensional sections of oceanic constituents are recorded in the top 120m with an undulating towed CTD scanning system (Scanfish) on both along shore and cross-channel transects. Underway measurements: fluorometry, salinity and temperature are collected at a depth of 3m with a flow-through system which also includes continuous climate measurements. Underway acoustic dopler current profiles were collected using a RDInstruments Workhorse 300kHz ADCP.
SBC LTER: CTD profiles from UNOLS cruises in the Santa Barbara Channel: LTER06, 2003-02-25 to 2003-03-06
The data described here were collected on LTER06 which took place from 2003-02-25 to 2003-03-06 on the RV Pt. Sur. Cruises have been conducted in the Santa Barbara Channel, California, USA, 3-4 times per year since March, 2001 and are approximately 7 days in length. There are 4 basic types of measurements: Profiles at 25 grid stations unique to the SBCLTER and 7 cross-channel stations (also occupied by the Plumes and Blooms project). Measurements include primary production, basic CTD parameters (Seabird 911-plus), inorganic nutrients, phytoplankton pigments, particulate organic carbon and nitrogen, natural abundances of N and C isotopes, and occasionally biogenic and lithogenic silica, optics, and/or dissolved organic carbon. Two-dimensional sections of oceanic constituents are recorded in the top 120m with an undulating towed CTD scanning system (Scanfish) on both along shore and cross-channel transects. Underway measurements: fluorometry, salinity and temperature are collected at a depth of 3m with a flow-through system which also includes continuous climate measurements. Underway acoustic dopler current profiles were collected using a RDInstruments Workhorse 300kHz ADCP. On Cruise LTER06, additional deep DOC samples were collected for the Carlson group. On this cruise, additional stations and are identified as deepstation012, 002, and 003
SBC LTER: CTD profiles from UNOLS cruises in the Santa Barbara Channel: LTER07, 2003-05-14 to 2003-05-23
The data described here were collected on LTER07 which took place from 2003-05-14 to 2003-05-23 on the RV Pt. Sur. Cruises have been conducted in the Santa Barbara Channel, California, USA, 3-4 times per year since March, 2001 and are approximately 7 days in length. There are 4 basic types of measurements: Profiles at 25 grid stations unique to the SBCLTER and 7 cross-channel stations (also occupied by the Plumes and Blooms project). Measurements include primary production, basic CTD parameters (Seabird 911-plus), inorganic nutrients, phytoplankton pigments, particulate organic carbon and nitrogen, natural abundances of N and C isotopes, and occasionally biogenic and lithogenic silica, optics, and/or dissolved organic carbon. Two-dimensional sections of oceanic constituents are recorded in the top 120m with an undulating towed CTD scanning system (Scanfish) on both along shore and cross-channel transects. Underway measurements: fluorometry, salinity and temperature are collected at a depth of 3m with a flow-through system which also includes continuous climate measurements. Underway acoustic dopler current profiles were collected using a RDInstruments Workhorse 300kHz ADCP. On Cruise LTER07, additional Domoic Acid samples were collected to document harmful algal blooms. On this cruise, additional stations and are identified as DA*
SBC LTER: CTD profiles from UNOLS cruises in the Santa Barbara Channel: LTER08, 2003-10-08 to 2003-10-17
The data described here were collected on LTER08 which took place from 2003-10-08 to 2003-10-17 on the RV Pt. Sur. Cruises have been conducted in the Santa Barbara Channel, California, USA, 3-4 times per year since March, 2001 and are approximately 7 days in length. There are 4 basic types of measurements: Profiles at 25 grid stations unique to the SBCLTER and 7 cross-channel stations (also occupied by the Plumes and Blooms project). Measurements include primary production, basic CTD parameters (Seabird 911-plus), inorganic nutrients, phytoplankton pigments, particulate organic carbon and nitrogen, natural abundances of N and C isotopes, and occasionally biogenic and lithogenic silica, optics, and/or dissolved organic carbon. Two-dimensional sections of oceanic constituents are recorded in the top 120m with an undulating towed CTD scanning system (Triaxis) on both along shore and cross-channel transects. Underway measurements: fluorometry, salinity and temperature are collected at a depth of 3m with a flow-through system which also includes continuous climate measurements. Underway acoustic dopler current profiles were collected using a RDInstruments Workhorse 300kHz ADCP. On Cruise LTER08, additional CTD samples were collected document the counter-current eddy, sample additional Plumes and Blooms stations, and sample off Santa Barbara Point. On this cruise, additional stations and are identified as CO01 to CO16, PNB000, and SBP, respectively
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.