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10,699 results for “easting”
Evolution of Indian Ocean Paleoceanography and South-East Asian Climate during the Miocene in response to change in regional topography
<p>This directory contain outputs of 9 paleo-climate simulations performed with the IPSL-CM5A2 and PISCES-v2 models. The simulations have used in a paper to be published in Nature Geoscience (2022) entitled "Divergent South Asian Monsoon Rainfall and Wind Histories due to topography effects" (Sarr et al.) that investigates the co-evolution of Arabian Sea upwelling and South Asian Monsoon rainfall and winds over the Miocene. It includes simulations with both early Miocene and late Miocene paleogeography.</p> <p>SimulationsOutputs.tar directory contains NetCDF files with ocean, ocean biogeochemistry and atmosphere variables. Data are monthly average over the last 100 years of each simulation.</p> <p>TopoMiocene.tar contains the paleogeographies used for the simulations.</p> <p> More informations on output contents can be find in README_detailsOutput.md document as well as within the Methods section of the publication.</p> <p>PISCES_update.tar contains updated routines for the PISCES-offline model (Aumont et al., 2015) that have been used for the publication. It contains a REAME.md file that explain how to include those updates within the reference code.</p> <p> </p>
Open database to support forensic investigation of disasters in South East Asia: FORINSEA v1.0
<p>Forensic investigation of disasters (FORIN) is a conceptual framework and research guide that focuses on the investigation of root causes of disaster risk and occurrence. Underlying the FORIN conceptual framework is the understanding that historical processes, operating asynchronously at different spatial and temporal scales, configure the specific circumstances in which disasters occur. An objective of FORIN research is to accumulate lessons and experience in a systematic way that can lead to improved choices in the future. FORINSEA aims to support this objective by providing an open database suitable to FORIN enquiries in South East Asia region. FORINSEA1.0 provides a comprehensive and coherent historical record of disasters, from 1945 until 2020, socio-economic policies and development of key infrastructure at the hydrological catchments of the Red River Delta in Vietnam and the Marikina river basin in the Philippines. The FORINSEA1.0 dataset allows researchers, for the first time, to explore and make use of geocoded data on major disasters affecting the two large and rapidly expanding cities of Hanoi and Metro Manila and their catchment areas.</p>
Database of Last Interglacial sea level indicators from the Bahamas, Turks and Caicos, and the east coast of Florida, USA
<p>This is a compilation of stratigraphic constraints and relevant U-series ages from the Last Interglacial period taken from samples in the Bahamas, Turks and Caicos, and the east coast of Florida, USA. It has been exported from the World Atlas of Last Interglacial Shorelines (WALIS) database (https://warmcoasts.eu/world-atlas.html).</p>
Relocated Seismicity Catalogs on the Discovery Transform Fault, 4S on the East Pacific Rise
<p>Two relocated earthquake catalogs are provided for the Discovery Transform Fault located at 4ºS on the East Pacific Rise. There is a microseismicity catalog representing one year of activity recorded during a 2008 ocean bottom seismometer deployment, which includes 12,635 events with local magnitudes, M<sub>L</sub>, between 0 and 4.1. The second catalog includes 24 years (1 January 1990 - 1 April 2013) of earthquakes obtained from the global Centroid Moment Tensor (CMT) catalog, a total of 15 events, with seismic moment magnitudes, M<sub>W</sub>, between 5.4 and 6.0.</p> <p>Microseismicity was relocated using the HypoDD relocation algorithm (Waldhauser, 2001), while the CMT events were relocated using a teleseismic surface-wave cross-correlation technique (McGuire, 2008). The 15 CMT events all relocated into one of five distinct rupture patches on the Discovery Transform Fault. In general, microseismicity was found to be reduced within these large, repeating rupture patches.</p> <p>A more detailed description of the methodology used to relocate both catalogs, as well as a discussion on the correlation between seismic behavior and fault structure on the Discovery Transform Fault is provided in:</p> <p>Wolfson-Schwehr, M., Boettcher, M. S., McGuire, J. J., & Collins, J. A. (2014). The relationship between seismicity and fault structure on the Discovery transform fault, East Pacific Rise. <em>Geochemistry, Geophysics, Geosystems, </em>15(9), 3698–3712. <a href="https://doi.org/10.1002/2014GC005445">https://doi.org/10.1002/2014GC005445</a></p> <p>Seismic Catalogs:</p> <ul> <li>Discovery_CMT_relocated_seismicity_1990_2013.csv</li> <li>Discovery_relocated_microseismicity_2008.csv</li> </ul> <p>Additional References:</p> <p>1. McGuire, J. J. (2008). Seismic cycles and earthquake predictability on East Pacific Rise transform faults. <em>Bulletin of the Seismological Society of America</em>, 98(3), 1067-1084. <a href="https://www.whoi.edu/cms/files/McGuire_BSSA_2008_48643.pdf">https://www.whoi.edu/cms/files/McGuire_BSSA_2008_48643.pdf</a></p> <p>2. Waldhauser, F. (2001). hypoDD--A program to compute double-difference hypocenter locations. <br> <a href="https://academiccommons.columbia.edu/doi/10.7916/D8SN072H">https://academiccommons.columbia.edu/doi/10.7916/D8SN072H</a></p>
"Chronomodel" Bayesian chronological models for East Borneo, based on data from the Liang Abu and Kimanis sites
<p>Bayesian chronological models generated using the <a href="https://chronomodel.com"><em>ChronoModel</em></a> software East Borneo (Indonesia), based on data from the Liang Abu and Kimanis (Arifin, 2017) archaeological sites.</p> <p>Two models were generated:</p> <ul> <li> a “<strong>conservative</strong>” model, observing the Bayesian approach and the distinction between<br> prior and posterior information;</li> <li>a “<strong>restricted</strong>” model: excluding possible outliers and without application of a “Fresh-<br> water reservoir effect” correction.</li> </ul> <p>Four files are provided:</p> <ul> <li>abu-kimanis-conservative-model.chr: model specification for the “conservative” model</li> <li>abu-kimanis-conservative-model_synthetic-stats-table.csv: results for the “conservative” model</li> <li>abu-kimanis-restricted-model.chr: model specification for the “restricted” model</li> <li>abu-kimanis_restricted-model_synthetic-stats-table.csv: results for the “restricted” model</li> </ul> <p>The .chr files can be open and edited using the <em>ChronoModel</em> software.</p>
Annotating Cognates in Phylogenetic Studies of South-East Asian Languages [Supplement]
<p>Source code and data accompanying the study "<strong>Annotating Cognates in Phylogenetic Studies of South-East Asian Languages" by M.-S. Wu and J.-M. List.</strong></p>
What Controls the Mean East–West Sea Surface Temperature Gradient in the Equatorial Pacific: The Role of Cloud Albedo
<p>Climatologies for the climate model simulations performed by Burls and Fedorov 2014, Journal of Climate, <a href="https://doi.org/10.1175/JCLI-D-13-00255.1">https://doi.org/10.1175/JCLI-D-13-00255.1</a>. This table shows how the names of the simulation files provided in this dataset relate to the experiment names provided in Table 1 of Burls and Fedorov (2014, JOC).</p> <table> <thead> <tr> <th scope="col">Experiment # in Article (Table 1)</th> <th scope="col">Name of Files</th> </tr> </thead> <tbody> <tr> <td>1</td> <td>PreInd_T31_gx3v7*.nc</td> </tr> <tr> <td>2</td> <td>80p_op_LWP_1590deg_T31_gx3v7*.nc</td> </tr> <tr> <td>3</td> <td>60p_op_LWP_1590deg_T31_gx3v7*.nc</td> </tr> <tr> <td>4</td> <td>40p_op_LWP_1590deg_T31_gx3v7*.nc</td> </tr> <tr> <td>5</td> <td>20p_op_LWP_1590deg_T31_gx3v7*.nc</td> </tr> <tr> <td>6</td> <td>20p_LWP_1590deg_T31_gx3v7*.nc</td> </tr> <tr> <td>7</td> <td>40p_LWP_1590deg_T31_gx3v7*.nc</td> </tr> <tr> <td>8</td> <td>60p_LWP_1590deg_T31_gx3v7*.nc</td> </tr> <tr> <td>9</td> <td>80p_LWP_1590deg_T31_gx3v7*.nc</td> </tr> <tr> <td>10</td> <td>20p_ILWP_1590deg_tropx2_T31_gx3v7*.nc</td> </tr> <tr> <td>11</td> <td>40p_ILWP_1590deg_tropx2_T31_gx3v7*.nc</td> </tr> <tr> <td>12</td> <td>60p_ILWP_1590deg_tropx2_T31_gx3v7*.nc</td> </tr> <tr> <td>13</td> <td>80p_ILWP_1590deg_tropx2_T31_gx3v7*.nc</td> </tr> <tr> <td>14</td> <td>20p_ILWP_1590deg_tropx4_T31_gx3v7*.nc</td> </tr> <tr> <td>15</td> <td>40p_ILWP_1590deg_tropx4_T31_gx3v7*.nc</td> </tr> <tr> <td>16</td> <td>60p_ILWP_1590deg_tropx4_T31_gx3v7*.nc</td> </tr> <tr> <td>17</td> <td>80p_ILWP_1590deg_tropx4_T31_gx3v7*.nc</td> </tr> <tr> <td>18</td> <td>20p_ILWP_3060deg_tropx8_T31_gx3v7*.nc</td> </tr> <tr> <td>19</td> <td>40p_ILWP_3060deg_tropx8_T31_gx3v7*.nc</td> </tr> <tr> <td>20</td> <td>60p_ILWP_3060deg_tropx8_T31_gx3v7*.nc</td> </tr> <tr> <td>21</td> <td>80p_ILWP_3060deg_tropx8_T31_gx3v7*.nc</td> </tr> <tr> <td>22</td> <td>PreInd_0.9x1.25_gx1v6*.nc</td> </tr> <tr> <td>23</td> <td>40p_LWP_1590deg_0.9x1.25_gx1v6*.nc</td> </tr> <tr> <td>24</td> <td>60p_LWP_1590deg_0.9x1.25_gx1v6*.nc</td> </tr> <tr> <td>25</td> <td>40p_ILWP_1590deg_tropx2_0.9x1.25_gx1v6*.nc</td> </tr> <tr> <td>26</td> <td>60p_ILWP_1590deg_tropx2_0.9x1.25_gx1v6*.nc</td> </tr> </tbody> </table> <p>Article abstract:</p> <p>The mean east–west sea surface temperature gradient along the equator is a key feature of tropical climate. Tightly coupled to the atmospheric Walker circulation and the oceanic east–west thermocline tilt, it effectively defines tropical climate conditions. In the Pacific, its presence permits the El Niño–Southern Oscillation phenomenon. What determines this temperature gradient within the fully coupled ocean–atmosphere system is therefore a central question in climate dynamics, critical for understanding past and future climates. Using a comprehensive coupled model [Community Earth System Model (CESM)], the authors demonstrate how the meridional gradient in cloud albedo between the tropics and midlatitudes (Δα) sets the mean east–west sea surface temperature gradient in the equatorial Pacific. To change Δα in the numerical experiments, the authors change the optical properties of clouds by modifying the atmospheric water path, but only in the shortwave radiation scheme of the model. When Δα is varied from approximately −0.15 to 0.1, the east–west SST contrast in the equatorial Pacific reduces from 7.5°C to less than 1°C and the Walker circulation nearly collapses. These experiments reveal a near-linear dependence between Δα and the zonal temperature gradient, which generally agrees with results from the Coupled Model Intercomparison Project phase 5 (CMIP5) preindustrial control simulations. The authors explain the close relation between the two variables using an energy balance model incorporating the essential dynamics of the warm pool, cold tongue, and Walker circulation complex.</p>
Modern pollen data from the East Asian Pollen Database (EAPD): pollen, vegetation and climate relationship
<p>This is a modern pollen dataset of eastern Asia, in which a total of 1756 sample sites is selected from the original database EAPD (East Asian Pollen Database) which consists of 2858 samples. The sample types are mainly surface soil, moss, sediment top (lake, delta, peatland, river basin, reservoir and so on), and dust capture. The pollen data are mostly count numbers, but a few was originally given in percentage (marked with TRUE for proportion or percentage). We have checked pollen taxonomic nomenclature and combined some synonym pollen types from different original sources.</p> <p>This dataset includes only the samples collected in the areas under natural vegetation or land cover with low human disturbance, that the sites located in the agriculture areas or strong human intervention have been excluded. This screening procedure makes the pollen data readily available for biome and climate reconstructions. The contributors' original research concerning pollen-climate relationship from EAPD sources have been published in Zheng, et al. (2014 and 2008), which have revealed that pollen taxa in the dataset have significant relationship with climate variables. This dataset is potentially useful for multiscale paleovegetation and paleoclimate reconstruction studies in Asia. </p> <p>EAPD is developed and maintained by the Laboratory of Quaternary Science and Palynology in the School of Earth Sciences and Engineering, Sun Yat-sen University, Zhuhai, China.</p>
Multi-Sensor Ice Analysis Data: Analysis for Belgica Bank, North East Greenland 2019-20
<p>The intention is that this dataset can be used for machine learning and deep neural network training/validation, and it distinguishes sea ice concentration, type and form derived from manual analysis of a combination of different satellite sensors including ALOS-2, Sentinel-1, COSMO-SkyMed, Sentinel-2, and ICESAT-2. The region chosen for the analysis was the Belgica Bank area offshore of North East Greenland, as this is an area which experiences a wide variety of sea ice, and iceberg, conditions throughout the year. The dataset consists of two parts: 11 days of individual sea ice interpretations, one for each month in the period from April 2019 to March 2020, with the exception of October 2019, and iceberg surveys derived from Sentinel-2 for spring in 2019 and 2020. </p> <p>The dataset includes a user guide issued by MET Norway as report 10/2022 (see https://www.met.no/publikasjoner/met-report) in which the first part describes the data sources, nomenclature, file formats and data in the analysis. A second part of the report compares synthetic aperture radar (SAR) data from both L-band ALOS-2 and C-band Sentinel-1 satellites, and identifies the visible synergies and anomalies. The results confirm that there are variations in backscatter signatures between ALOS-2 and Sentinel-1 data when comparing them for different sea ice situations and conditions. ALOS-2 data in many cases is proven to be a reliable and beneficial source of data when it comes to identifying icebergs, ridges, determining sea ice type, and also distinguishing ice and water compared to standalone Sentinel-1 data.</p>
IN02001 Changu Narayana Pillar East Shaft Inscription
<p>Gnoli, Raniero. <em>Nepalese Inscriptions in Gupta Characters</em>. Roma: Is. M. E. O. 1956. Plate 1, Inscription 1, pp. 1-3. </p>
IN02001 Changu Narayana Pillar East Shaft Inscription. Sanskrit XML file, draft epidoc edition
<p>IN02001 Changu Narayana Pillar East Shaft Inscription. Sanskrit XML file (without metadata). Draft epidoc edition to be incorporated into 'Siddham' archive</p>
Easte (e1166)
<b>-- <a href="https://doi.org/10.5281/zenodo.11582199">Documentation</a> --</b><br><br><u>Name</u>: Easte<br><u>musiXplora-ID</u>: e1166<br><u>musiXplora-URI</u>: <a href="https://musixplora.de/mxp/e1166">https://musixplora.de/mxp/e1166</a><br><u>Gender</u>: m<br><u>First Mentioned</u>: 1800<br><u>Sectors</u>: Holzblasinstrumentenbau<br><u>Professions (Musical)</u>: Holzblasinstrumentenbauer<br><u>Other Places of Activity</u>: Cambridge<br><br><br><u>Institutionen:</u><br><table><tbody><tr><th>Role</th><th>Title</th><th>mXp-ID</th></tr><tr><td>Related</td><td>Shackleton Collection</td><td><a href="https://musixplora.de/mxp/3080397">3080397</a></td></tr></tbody></table><br><br><u>Changelog</u>:<br> - v0.0.1: Initial Upload.<br>
Evaluating Automated Seismic Event Detection Approaches: An Application to Victoria Land, East Antarctica
<p>This repository contains the waveform data used by Ho et al. (2024), along with all generated fine-tuned models and event catalogs. See the README file for a summary. The corresponding software packages are available on GitHub at <a href="https://github.com/jakewalter/easyQuake.git">https://github.com/jakewalter/easyQuake.git</a>, <a href="https://github.com/seisbench/seisbench">https://github.com/seisbench/seisbench</a>, and <a href="https://github.com/longmho/Transfer_Learning_and_Seisbench">https://github.com/longmho/Transfer_Learning_and_Seisbench</a>. See the README.md file at <a href="https://github.com/longmho/Transfer_Learning_and_Seisbench">https://github.com/longmho/Transfer_Learning_and_Seisbench</a> for additional details.</p>
East Palestine Soil Sample Analysis - August, 2023
<p>This data come from from Lard et al., in review.</p> <p><span>The 17 congeners measured in this analysis by gas chromatography mass spectrometry are: 1,2,3,4,6,7,8-HpCDD; 1,2,3,4,6,7,8-HpCDF; 1,2,3,4,7,8,9-HpCDF; 1,2,3,4,7,8-HxCDD; 1,2,3,4,7,8-HxCDF; 1,2,3,6,7,8-HxCDD; 1,2,3,6,7,8-HxCDF; 1,2,3,7,8,9-HxCDD; 1,2,3,7,8,9-HxCDF; 1,2,3,7,8-PeCDD; 1,2,3,7,8-PeCDF; 2,3,4,6,7,8-HxCDF; 2,3,4,7,8-PeCDF; 2,3,7,8-TCDD; 2,3,7,8-TCDF; OCDD; OCDF.</span></p> <p><span>Environmentally persistent free radicals were measured by electron paramagnetic resonance analysis.</span></p> <p><span>The ten metals analyzed by inductively coupled plasma mass spectrometry are: B, Ca, Cu, Fe, K, Mg, Mn, P, S, Zn</span></p> <p><span>Total organic carbon was measured by a total carbon analyzer.</span></p>
Ground Vertical and east Velocities for the Western Gulf of Corinth, Greece, combining InSAR and GPS
<p><strong>Data group</strong> :<br> Ground Vertical and East Velocities for the Western Gulf of Corinth combining InSAR and GPS, for the period 2002-2010</p> <p><strong>Data identifiers</strong> : </p> <ol> <li>Best constrained 951 vertical and east PS-SBAS velocities for pixels of 200m</li> <li>Best constrained 4391 vertical and east PS-SBAS velocities for pixels of 200m</li> </ol> <p><strong>Version</strong> : 1.0</p> <p><strong>Coordinate Reference System</strong>: Geographic WGS84, EPSG:4326</p> <p><strong>Citation</strong>: Elias & Briole, 2018, Ground deformations in the Corinth rift, Greece, investigated through the means of SAR multi-temporal interferometry<br> </p>
Checklist of the moss of aquatic and riverside habitats of the Komi Republic (European North-East of Russia)
<p>Представленная информация о мхах водных и прибрежно-водных местообитаний Республики Коми является дополнением к статье Г.В. Железновой, Т.П. Шубиной, Б.Ю. Тетерюка «Анализ флоры мхов водных и прибрежно-водных местообитаний Республики Коми», принятой к публикации в журнале «Известия Коми НЦ УрО РАН» в 2019 г.</p> <p>Список включает 275 таксонов мхов из 103 родов и 37 семейств. Он составлен на основе фактического материала, хранящегося в гербарии Института биологии Коми научного центра Уральского отделения Российской академии наук (SYKO) (УНУ «Научный гербарий SYKO Института биологии Коми НЦ УрО РАН») и литературных сведений (Ruprecht, 1850; Zickendrath, 1895, 1900; Поле, 1915; Кильдюшевский, 1956; Куваев, 1970).</p> <p>Исследованиями были охвачены прибрежные и водные местообитания водотоков и озер Республики Коми. На равнинной территории сборы выполнены в пределах тундры (подзона южной тундры), лесотундры, тайги (подзоны северной и средней тайги), в горах – на Полярном, Приполярном и Северном Урале. Полевые бриологические исследования проводились с использованием маршрутного и стационарного методов.</p> <p>Объем семейств, родов и названия видов приведены в основном согласно списку мхов Восточной Европы и Северной Азии (Check-list…, 2006)</p> <p>The checklist provides information about mosses aquatic and riverside habitats of the Komi Republic. It is a supplement to the article by G. V. Zheleznova, T. P. Shubina, B. Yu. Teteryuk "Analysis of the moss flora of aquatic and riverside habitats of the Komi Republic (European North-East of Russia)", accepted for publication in the journal "Proceedings of the Komi Science Center URD RAS" in 2019.</p> <p>The checklist includes 275 moss taxa from 103 genera and 37 families. It is based on the samples preserved in the Herbarium of the Institute of Biology of the Komi Scientific Center of the Ural Branch of the Russian Academy of Sciences (SYKO) and literary data (Ruprecht, 1850; Zickendrath, 1895, 1900; Pole, 1915; Kildyushevsky, 1956; Kuvaev, 1970). The species names were given according to “Checklist of mosses of East Europe and North Asia” (2006).</p> <p>The mosses were collected in aquatic and riverside habitats of the mountains and plain territories of the Komi Republic. The research covered three parts of the Urals mountain range: the Polar Urals, the Subpolar Urals and the Northern Urals. The plain territory was covered within the southern tundra, forest tundra, northern taiga and middle taiga.</p>
Nicosia, Cyprus. Bedesten. Interior of the chancel, looking east in the 1870s.
<p>Nicosia, Cyprus. Bedesten. Interior of the chancel, looking east in the 1870s, from the<em> Illustrated London News</em> 11 October 1879.</p>
Water temperature measurements collected during austral summer 2017/2018 on lakes located in the Schirmacher oasis, East Antarctica.
<p>Lakes’ water temperature are measured on lakes of three types (epiglacial, epishelf and land-locked) located in the Schirmacher oasis, East Antarctica. The temporal hydrological network is equipped by 11 temperature sensors, which are measured both surface and bottom water temperature of lakes. The surface temperature is recorded with the temperature loggers iButton DS1922L/DS1922T (https://www.maximintegrated.com/en/datasheet/index.mvp/id/4088) on 8 lakes. The sensors are deployed within a distance of 1–3 m from a lake’s coast, on a depth of 0.02 m. The lake’s surface temperature is also measured on two lakes with the temperature sensors by HOBO Water Level U20L (https://www.onsetcomp.com/products/data-loggers/u20l-01), which are deployed on the depth of 0.2 m. One HOBO sensor is installed to be attached to a lake’s ground on a depth approximately 0.5 m. The measurements cover the period of over 12–36 days depending on a lake. The data set includes the field campaign’s report of 63 RAE in the Schirmacher oasis (a text, in Russian) as a pdf-file, the metadata for the measurements (name, elevation, lon/lat of the temperature sensors deployed; name of the lakes; period with measurements; comments) as a shp-file, and the tables with water temperature measured for each lakes (as files of CSV format). Also, the deployment of the temperature sensor on the Lake Pomornik is presented in the jpg-file.</p> <p> </p>
3D wind speed and CO2/H20 concentration measurements collected during austral summer 2017/2018 over an ice free surface of a shallow lake located in the Schirmacher oasis, East Antarctica.
<p>The data set includes measurements collected by the integrated CO2 and H2O open-path gas analyzer and 3-D sonic anemometer (Irgason by Campbell Scientific with serial number 1243, https://www.campbellsci.com/irgason). The instrument was operated from 01.01.2018 to 07.02.2018. It was deployed on the north-west shore of the Lake Zub/Priyadarshini (S70° 45′ 41.5″, E011° 44′ 16.6″) on the distance of 10 m from the coast. The instrument was placed on the aluminum tripod on the height of 2 m, and directed to south-eastwards (137 SE). Six metal guidelines were linked to anchors, and the boom was fixed on the tripod. Two rechargeable batteries (12V/33Ah) were used in additional to two solar panels to power supply of the instrument (irgason_deployment.jpg). The format of the output files is given in Irgason_output.pdf. The raw data are packed into the *.dat files (one per day) and then compressed (bz2). The calibration of the Irgason was done 21.08.2017 in the lab of the Finnish Meteorological Institute with standard zero-and-span procedure, and then the instrument is adjusted accordingly.</p>
CLDF dataset derived from Marrison's "Naga Languages of North-East India" from 1967
<p>Cite the source of the dataset as:</p> <blockquote> <p>Marrison, Geoffrey Edward (1967) : The classification of the Naga languages of North-East India. London: School of African and Oriental Sciences.</p> </blockquote>
ScienceDex guides
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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.