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6,861 results for “Animation”

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edi36/100

Kellogg Biological Station site, station Treatment 7, native successional treatment, abandoned after spring plowing in 1989, study of animal abundance of Coccinella trifasciata in units of numberAdultsPerYellowStickyTrap on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Kellogg Biological Station (KBS) contains animal abundance of Coccinella trifasciata measurements in numberAdultsPerYellowStickyTrap units and were aggregated to a yearly timescale.

openOpenJan 2020View details →
edi36/100

Kellogg Biological Station site, station Treatment 7, native successional treatment, abandoned after spring plowing in 1989, study of animal abundance of Cycloneda in units of numberAdultsPerYellowStickyTrap on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Kellogg Biological Station (KBS) contains animal abundance of Cycloneda measurements in numberAdultsPerYellowStickyTrap units and were aggregated to a yearly timescale.

openOpenJan 2020View details →
edi36/100

Kellogg Biological Station site, station Treatment 7, native successional treatment, abandoned after spring plowing in 1989, study of animal abundance of Neoptera in units of numberAdultsPerYellowStickyTrap on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Kellogg Biological Station (KBS) contains animal abundance of Neoptera measurements in numberAdultsPerYellowStickyTrap units and were aggregated to a yearly timescale.

openOpenJan 2020View details →
edi36/100

Kellogg Biological Station site, station Treatment 7, native successional treatment, abandoned after spring plowing in 1989, study of animal abundance of Coleomegilla maculata in units of numberAdultsPerYellowStickyTrap on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Kellogg Biological Station (KBS) contains animal abundance of Coleomegilla maculata measurements in numberAdultsPerYellowStickyTrap units and were aggregated to a yearly timescale.

openOpenJan 2020View details →
edi36/100

Kellogg Biological Station site, station Treatment 7, native successional treatment, abandoned after spring plowing in 1989, study of animal abundance of Hippodamia parenthesis in units of numberAdultsPerYellowStickyTrap on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Kellogg Biological Station (KBS) contains animal abundance of Hippodamia parenthesis measurements in numberAdultsPerYellowStickyTrap units and were aggregated to a yearly timescale.

openOpenJan 2020View details →
edi36/100

Kellogg Biological Station site, station Treatment 7, native successional treatment, abandoned after spring plowing in 1989, study of animal abundance of Hippodamia glacialis in units of numberAdultsPerYellowStickyTrap on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Kellogg Biological Station (KBS) contains animal abundance of Hippodamia glacialis measurements in numberAdultsPerYellowStickyTrap units and were aggregated to a yearly timescale.

openOpenJan 2020View details →
edi36/100

Kellogg Biological Station site, station Treatment 7, native successional treatment, abandoned after spring plowing in 1989, study of animal abundance of Propylaea quatuordecimpunctata in units of numberAdultsPerYellowStickyTrap on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Kellogg Biological Station (KBS) contains animal abundance of Propylaea quatuordecimpunctata measurements in numberAdultsPerYellowStickyTrap units and were aggregated to a yearly timescale.

openOpenJan 2020View details →
edi36/100

Kellogg Biological Station site, station Treatment 7, native successional treatment, abandoned after spring plowing in 1989, study of animal abundance of Harmonia axyridis in units of numberAdultsPerYellowStickyTrap on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Kellogg Biological Station (KBS) contains animal abundance of Harmonia axyridis measurements in numberAdultsPerYellowStickyTrap units and were aggregated to a yearly timescale.

openOpenJan 2020View details →
zenodo32/100

Low mass planet migration in three dimensional wind-driven inviscid discs: A negative corotation torque - Animations

<p>Animations accompanying the paper &quot;Low mass planet migration in three dimensional wind-driven inviscid discs: A negative corotation torque&quot;. Each file corresponds to a panel of Figures 3&nbsp;and 4. All videos are at a frame rate 10 frames per second with one orbit per frame. Note these animations&nbsp;use&nbsp;a fixed colour scale, while&nbsp;the figures in the paper use colour scales tuned for the panels shown.&nbsp;The prefix of the filenames matches the title for the corresponding sub-panel of the figures in the paper, and the model&nbsp;code given in Table 1 of the paper which describes the details of each model.</p> <p>The video files correspond to&nbsp;the sub-panels of the&nbsp;figures in the paper as given below:</p> <p><strong>Figure 3</strong></p> <ul> <li>2AMS_logV_10fps.mp4&nbsp;</li> <li>2AMD_logV_10fps.mp4&nbsp;</li> <li>2AFS_logV_10fps.mp4&nbsp;</li> </ul> <p><strong>Figure 4</strong></p> <ul> <li>3AMS_logV_10fps.mp4</li> <li>3WMS_logV_10fps.mp4</li> <li>3AFS_logV_10fps.mp4</li> </ul>

opencc-by-4.0Jan 2020View details →
zenodo32/100

Communicating Animal Research Part 2

<p><strong>Episode Summary:</strong></p> <p>In Part 2 of the episode on communicating animal research we bring you excerpts from an EARA event at the MDC at which scientists and science communicators discussed their views on how and why animal research should be communicated more openly.&nbsp;</p> <p><strong>Links:&nbsp;</strong></p> <p><a href="https://www.orion-openscience.eu/node/201">Factsheets</a></p> <p><a href="http://eara.eu/en/improving-openness-in-animal-research-in-germany-watch-the-videos/">Full talks:&nbsp;Improving openness in animal research in Germany &ndash; watch the videos</a></p> <p><strong>Quotes:&nbsp;</strong></p> <p>&#39;Only if scientists openly discuss animal research we can reach our goal: a consensus that the majority of society can support. We need to defend the middle ground&#39;</p>

opencc-by-4.0Mar 2019View details →
zenodo32/100

Supporting material for: A multi-batch design to deliver robust estimates of efficacy and reduce animal use – a syngeneic tumour case study

<p>Underlying data,&nbsp; R scripts and subsequent figures are presented to deliver a replicable and transparent analysis for the manuscript &quot;A multi-batch design to deliver robust estimates of efficacy and reduce animal use &ndash; a syngeneic tumour case study&quot;</p> <p>Published in Scientific Reports</p> <p>See:&nbsp;<a href="https://protect-de.mimecast.com/s/kCQLCgpRGySlzOwmCNma6d?domain=rdcu.be">https://rdcu.be/b3vj2</a> &nbsp;</p> <p>&nbsp;</p> <p>This is version 2 of this data.&nbsp; This differs from version 1 in the following</p> <p>1.&nbsp; The number of simulation has increased from 300 to 2000 in each simulation cycle</p> <p>2. Script has been added to generate publication level figures</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Nov 2019View details →
zenodo32/100

List Anime Scrapped from riie.net per February 18, 2020

<p>The data&nbsp;we&nbsp;take&nbsp;is&nbsp;anime&nbsp;movie&nbsp;data&nbsp;taken by&nbsp;an&nbsp;online&nbsp;movie&nbsp;streaming&nbsp;site called&nbsp;<a href="http://www.riie.net/">www.riie.net</a>. The&nbsp;dataset&nbsp;contains&nbsp;six&nbsp;columns&nbsp;and&nbsp;199&nbsp;lines&nbsp;of&nbsp;anime series and movies&nbsp;with&nbsp;various&nbsp;genres. The&nbsp;anime_nama&nbsp;column&nbsp;contains&nbsp;the&nbsp;anime title, followed by&nbsp;anime_url&nbsp;column for the anime information site address.&nbsp;The anime types are loaded in&nbsp;anime_tipe&nbsp;column, meanwhile the&nbsp;anime_total_episode&nbsp;column contains information regarding the series total episode. The&nbsp;anime_status&nbsp;column is stating the latest update of the anime. Next column named&nbsp;anime_tgl_rilis&nbsp;provides the release date of the anime series or movies. Anime producers or production team can be seen in the&nbsp;anime_produser&nbsp;column. Information about&nbsp;score/ratings of the anime can be obtained from the&nbsp;anime_skor&nbsp;column.&nbsp;Meanwhile you can find out the&nbsp;genres from the column named anime_genre1 to anime_genre4. The&nbsp;anime_durasi&nbsp;column&nbsp;provides&nbsp;information&nbsp;on&nbsp;the&nbsp;duration&nbsp;of&nbsp;the&nbsp;anime series per episode, or&nbsp;movie.</p>

opencc-by-4.0Feb 2020View details →
zenodo32/100

Preprocessed Data used by "Machine Learning Enabled Brain Segmentation for Small Animal Image Registration"

<p>Data, preprocessed by the SAMRI package, used to train the models in&nbsp;&quot;Machine Learning Enabled Brain Segmentation for Small Animal Image Registration&quot;. The models can be found <a href="https://zenodo.org/record/3759361#.XrKrgBMzZhE">here</a>.</p>

opencc-by-4.0May 2020View details →
dryad32/100

Data from: Examination of the efficacy of small genetic panels in genomic conservation of companion animal populations

<p>In many ways dogs are an ideal model for the study of genetic erosion and population recovery, problems of major concern in the field of conservation genetics. Genetic diversity in many dog breeds has been declining systematically since the beginning of the 1800's, when modern breeding practices came into fashion. As such, inbreeding in domestic dog breeds is substantial and widespread and has led to an increase in recessive deleterious mutations of high effect as well as general inbreeding depression. Pedigrees can in theory be used to guide breeding decisions, though are often incomplete and do not reflect the full history of inbreeding. Small microsatellite panels are also used in some cases to choose mating pairs to produce litters with low levels of inbreeding. However, the long-term impact of such practices have not been thoroughly evaluated. Here, we use forward simulation on a model of the dog genome to examine the impact of using limited markers panels to guide pairwise mating decisions on genome-wide population level genetic diversity. Our results suggest that in unmanaged populations, where breeding decisions are made at the pairwise- rather than population-level, such panels can lead to accelerated loss of genetic diversity at genome regions unlinked to panel markers, compared to random mating. These results demonstrate the importance of genome-wide genetic panels for managing and conserving genetic diversity in dogs and other companion animals.</p>

opencc-zeroJun 2020View details →
dryad32/100

Data from: A snapping shrimp has the fastest vision of any aquatic animal

<p>Animals use their sensory systems to sample information from their environments. The physiological properties of sensory systems differ, leading animals to perceive their environments in different ways. For example, eyes have different temporal sampling rates, with faster-sampling eyes able to resolve faster-moving scenes. Eyes can also have different dynamic ranges. For every eye, there is a light level below which vision is unreliable because of an insufficient signal-to-noise ratio and a light level above which the photoreceptors are saturated. Here, we report the eyes of the snapping shrimp <i>Alpheus heterochaelis</i> have a temporal sampling rate of at least 160 Hz, making them the fastest-sampling eyes ever described in an aquatic animal. Fast-sampling eyes help flying animals detect objects moving across their retinas at high angular velocities. <i>A. heterochaelis </i>are fast-moving animals that live in turbid, structurally-complex oyster reefs and their fast-sampling eyes, like those of flying animals, may help them detect objects moving rapidly across their retinas. We also report the eyes of <i>A. heterochaelis </i>have a broad dynamic range that spans conditions from late twilight (~1 lux) to direct sunlight (~100,000 lux), a finding consistent with the circatidal activity patterns of this shallow-dwelling species.</p>

opencc-zeroJun 2020View details →
zenodo32/100

Fig. 2. A B in A 3D interactive method for estimating body segmental parameters in animals: Application to the turning and running performance of Tyrannosaurus rex

Fig. 2. A B-spline solid is a closed object whose shape can be adjusted by moving control points (dark points) that deforms the local portion of the object near the control point. The initial cylindrical shape in A is adjusted (B and C) by pulling out the points at the ends and drawing the points in the middle closer to the axis.

opennotspecifiedJun 2007View details →
zenodo32/100

Fig. 1 in A 3D interactive method for estimating body segmental parameters in animals: Application to the turning and running performance of Tyrannosaurus rex

Fig. 1. Body segments can be created using mass objects of different density and shape. Mass objects can be collected into mass sets to calculate their combined inertial properties; the most inclusive Tyrannosaurus mass set (whole body) is outlined here, as well as the trunk segment and its embedded mass objects.

opennotspecifiedJun 2007View details →
zenodo32/100

Fig. 1 in A 3D interactive method for estimating body segmental parameters in animals: Application to the turning and running performance of Tyrannosaurus rex

Fig. 1. Body segments can be created using mass objects of different density and shape. Mass objects can be collected into mass sets to calculate their combined inertial properties; the most inclusive Tyrannosaurus mass set (whole body) is outlined here, as well as the trunk segment and its embedded mass objects.

opennotspecifiedJun 2007View details →
dryad32/100

Potential short-term earthquake forecasting by farm animal monitoring

<p class="AbstractSummary">Whether changes in animal behavior allow for short-term earthquake predictions has been debated for a long time. Before, during and after the 2016/2017 earthquake sequence in Italy, we deployed bio-logging tags to continuously observe the activity of farm animals (cows, dogs, sheep) close to the epicenter of the devastating magnitude M6.6 Norcia earthquake (Oct-Nov 2016) and over a subsequent longer observation period (Jan-Apr 2017). Relating 5304 (in 2016) and 12948 (in 2017) earthquakes with a wide magnitude range (0.4 ≤ M ≤ 6.6) to continuously measured animal activity, we detected how the animals collectively reacted to earthquakes. We also found consistent anticipatory activity prior to earthquakes during times when the animals were in a building (stable), but not during their time on a pasture. We detected these anticipatory patterns not only in periods with high, but also in periods of low seismic activity. Earthquake anticipation times (1-20hrs) are negatively correlated with the distance between the farm and earthquake hypocenters. Our study suggests that continuous bio-logging of animal collectives has the potential to provide statistically reliable patterns of pre-seismic activity that could yield valuable insights for short-term earthquake forecasting. Based on a-priori model parameters we provide empirical threshold values for pre-seismic animal activities to be used in real-time observation stations.</p>

opencc-zeroAug 2020View details →
dryad32/100

The diversity of maternal-age effects upon pre-adult survival across animal species

Maternal senescence is the detrimental effect of increased maternal age on offspring performance. Despite much recent interest given to describing this phenomenon, its distribution across animal species is poorly understood. A review of the published literature finds that maternal age affects pre-adult survival in 252 of 272 populations (93%) representing 97 animal species. Age effects tended to be deleterious in invertebrates and mammals, including humans, confirming the presence of senescence. However, bird species were a conspicuous exception, as pre-adult survival tended to increase with maternal age in surveyed populations. In all groups, maternal-age effects became more negative in older mothers. Invertebrates senesced faster than vertebrates, and humans aged faster than non-human mammals. Within invertebrates, lepidopterans demonstrated the most extreme rates of maternal-effect senescence. Among the surveyed studies, phylogeny, life history and environment (e.g. laboratory versus wild populations) were tightly associated; this made it difficult to make confident inferences regarding the causes of diversity for the phenomenon. However, we provide some testable suggestions, and we observe that some differences appear to be consistent with predictions from evolutionary theory. We discuss how future work may help clarify ultimate and proximate causes for this diversity.

opencc-zeroAug 2020View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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