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657 results for “July”
GCE-LTER Hammock Well Vegetation and Invertebrate Monitoring - July 2009
In July 2008 the GCE LTER program selected two hammocks for intensive study: HN_i_1 and PC_i_29. HN_i_1 is of Holocene origin and is located adjacent to Blackbeard Island to the north of Sapelo Island, Georgia. PC_i_29 is also of Holocene origin and is located adjacent to the south end of Sapelo Island. These hammocks are of similar size, with similar vegetation zones in the high marsh environment. Groundwater well transects were established that run from the upland, through the marsh, and up and over the upland area of each hammock. Two permanent plots were established at each well in order to characterize the plant and invertebrate diversity and abundance by surveying plots once a year. This data set includes the results of July 2009 monitoring studies.
GCE-LTER Hammock Well Vegetation and Invertebrate Monitoring - July 2012
In July 2008 the GCE LTER program selected two hammocks for intensive study: HN_i_1 and PC_i_29. HN_i_1 is of Holocene origin and is located adjacent to Blackbeard Island to the north of Sapelo Island, Georgia. PC_i_29 is also of Holocene origin and is located adjacent to the south end of Sapelo Island. These hammocks are of similar size, with similar vegetation zones in the high marsh environment. Groundwater well transects were established that run from the upland, through the marsh, and up and over the upland area of each hammock. Two permanent plots were established at each well in order to characterize the plant and invertebrate diversity and abundance by surveying plots once a year. This data set includes the results of July 2012 monitoring studies.
Radon Surveys in the Duplin River near Sapelo Island, Georgia from July 2016
This study measured dissolved radon-222 in transects upstream throughout the Duplin River. Radon serves as a tracer of groundwater discharge into the surface water, so this survey was conducted to assess spatial patterns of groundwater input into the Duplin River. Radon counts were integrated over 10 minute counting cycles, so lateral resolution of the survey is determined by the boat speed. Transects were begun at high tide and at low tide during both spring and neap tide.
May to July 2018 ground control points GPS coordinates of tidal marsh and tidal forest plant species to be used as ground control points in habitat mapping.
We collected field data from sites distributed in habitats along the salinity axis of the Altamaha River estuary and the Duplin River to be used as ground control points (GCP) and ground reference data for habitat mapping. GCPs for tidal marsh (salt, brackish, tidal fresh) and tidal fresh forest vegetation species were acquired. A real time kinematic (RTK) GPS survey of GPS coordinates and ground elevations for tidal marsh vegetation was carried out in May of June of 2018. A handheld GPS was used to collect GPS coordinates for tidal forest plant species in July of 2018. A total of 101 GCPs were collected in tidal habitats, with 26 in salt, 28 in brackish and 29 in tidal fresh marsh, and another 18 in tidal fresh forest. These observations will be used to create habitat maps from aerial photographs of the Altamaha River estuary, GA taken following Hurricane Irma to better understand how the storm surge affected tidal vegetation and to examine any shifts in vegetation type.
Daily climatological observations from Sapelo Island, Georgia, from May 1957 through July 2001
Daily summaries of air temperature and precipitation were collected from the National Weather Service weather station on Sapelo Island, Georgia, from May 1957 through July 2001. The station (NWS Station 97808) is located at the University of Georgia Marine Institute (UGAMI), and has been in continuous operation since 1957. Observations are logged and transmitted to the NWS by UGAMI personnel, and archived by the NOAA National Climatic Data Center (http://www.ncdc.noaa.gov/). The monitoring station is described on the Georgia Coastal Ecosystems web site at http://gce-lter.marsci.uga.edu/lter/research/mon/ugami.htm.
Grass exposure, mesquite height, and plant greenness at a Jornada Basin LTER sand-sheet site, July and September 2019
Two large wind storms in March and April, 2019 caused severe erosion and exposed the roots of many grass patches in the wind-erodible "sand sheet" of the Jornada LTER. These data are from these wind-affected areas. Field transect measurements of grass cover (line-point intercept, grass plants with exposed roots (1-m belt transect), grass plants with green shoots (1-m belt transect), mesquite (PRGL) height (maximum height of cord on transect for each individual) for 18 transects in the sandy loam "sand sheet" geomorphic surface of Jornada. Also included are histograms of UAV-based measurements of green chromatic coordinate (GCC) and grass patch size (cm2) for individual grass patches within each 1-m belt transect.
MCR LTER: Coral Reefs: Coral bleaching and mortality in July 2019; data for Speare et al. 2021 Global Change Biology
These data are from field surveys conducted at seven sites at 10m depth on the outer reef of Mo’orea following a marine heatwave and coral bleaching event in the Austral Summer of 2019. These data describe the size, percent of the colony that was bleached, and the percent of the colony that recently dead for corals in the genera Acropora and Pocillopora. At six sites (LTER 1-6) coral colony size was quantified using ordinal size bins and observers collected data on all coral colonies > 5cm diameter. At one site on the north shore of Mo’orea (LTER Experimental Site) coral colony size was measured to the nearest centimeter. At this site researchers did two separate sets of surveys, one to collect data on all corals > 5cm diameter, and one to collect data on all individuals ≤ 5cm diameter. Additionally, data on survivorship of newly-settled coral recruits on coral settlement tiles are included. Tiles were deployed at 10m depth at one site on the outer reef of Moorea. Survivorship of coral recruits between March and July was assessed in 2017 and 2019. These data are in support of a publication Speare et al. (2021) Global Change Biology. The manuscript title and author list are as follows: Size-dependent mortality of corals during marine heatwave erodes recovery capacity of a coral reef. Kelly E. Speare, Thomas C. Adam, Erin M. Winslow, Hunter S. Lenihan, Deron E. Burkepile This material is based upon work supported by the U.S. National Science Foundation under Grant No. OCE 16-37396 (and earlier awards) as well as a generous gift from the Gordon and Betty Moore Foundation. Research was completed under permits issued by the French Polynesian Government (Délégation à la Recherche) and the Haut-commissariat de la République en Polynésie Francaise (DTRT) (Protocole d'Accueil 2005-2021). This work represents a contribution of the Moorea Coral Reef (MCR) LTER Site.
MCR LTER: Coral Reef Resilience: Herbivore Bite Rates on the North Shore Forereef July-August 2010
These data describe bite rates of two abundant species of roving herbivorous fishes found on the forereef, Chlorurus sordidus (Scaridae), and Ctenochaetus striatus (Acanthuridae). During several days in July and August 2010, a SCUBA diver followed individual focal fish for a period of up to 5 minutes and recorded the number of bites taken as well the types of substrates bitten. Upon randomly locating a focal individual, divers estimated the total length of that individual as well as their depth at the initiation (and termination) of the observation. Data are organized in two data tables. The first data table (Focal_Herbivore_Bite_Rates) contains individuals that were observed at two depths (~ 10 m and ~ 17 m) at LTER 1 as part of a balanced sampling design (see Sampling Protocol/Design). The second data table (Additional_Bite_Rate_Data) contains individuals that were observed opportunistically at LTER 1 and Resilience 2. To minimize the effect of time of day on fish behavior, all data were collected between 10:00 and 16:00, a period of time which corresponds with peak feeding rates for many herbivorous fishes. This material is based upon work supported by the U.S. National Science Foundation under Grant No. OCE 16-37396 (and earlier awards) as well as a generous gift from the Gordon and Betty Moore Foundation. Research was completed under permits issued by the French Polynesian Government (Délégation à la Recherche) and the Haut-commissariat de la République en Polynésie Francaise (DTRT) (Protocole d'Accueil 2005-2018). This work represents a contribution of the Moorea Coral Reef (MCR) LTER Site.
MCR LTER: Coral Reef Resilience: Short-term Accumulation of Algal Biomass on Unglazed Ceramic Tiles from July 2010-August 2011
Caged tiles were placed at various sites to measure short-term algal accumulation in the absence of grazing by fishes or large invertebrates. These data document biomass of algae that accumulated on unglazed ceramic tiles (2.5 cm X 2.5 cm) placed inside cages (mesh size = 2.5 cm x 2.5 cm) at various sites around the island of Moorea for a period of 3 to 4 weeks. Three separate experiments were conducted (one during July-August 2010 and two in July-August 2011). In the first experiment (2010_Production), we measured the accumulation of algae after 24 days at two different depths on the forereef (10 and 17 m), and within the lagoon at four different distances from the reef crest (approximately 25, 100, 400, and 700 m). In the second experiment (2011_Production_Summary), we measured the accumulation of algae after 24 or 25 days at six forereef sites (LTER 1, Resilience 2, LTER 3, LTER 4, LTER 5, LTER 6). In this experiment, tiles were placed adjacent to the fish transects (see knb-lter-mcr.6) at a depth of 12 m. In the final experiment (Production_Time_Series), we measured the accumulation of algae on tiles at three day intervals over a period of 31 days. This experiment was conducted at Resilience 2. This material is based upon work supported by the U.S. National Science Foundation under Grant No. OCE 16-37396 (and earlier awards) as well as a generous gift from the Gordon and Betty Moore Foundation. Research was completed under permits issued by the French Polynesian Government (Délégation à la Recherche) and the Haut-commissariat de la République en Polynésie Francaise (DTRT) (Protocole d'Accueil 2005-2018). This work represents a contribution of the Moorea Coral Reef (MCR) LTER Site.
BATAL POPS flight (July 2019)
<p>The Printed Optical Particle Spectrometer (POPS) was operated during the BATAL (Balloon Measurements of the Asian Tropopause Aerosol Layer) campaign in 2019 in Hyderabad (17N,78E), India. The primary goal of this campaign is the investigation of the ATAL (Asian Tropopause Aerosol Layer). Here, we use POPS observations from one balloon flight on July 17th 2019 (UT time). The instrument weighs around 800g and uses a 405 mm diode laser. POPS delivers aerosol number concentration and size distribution measurements. Here the file corresponds to concentrations in each size class between 0.15 and ~3 µm.<br> </p>
Landslides from Space - Tonzang Landslide, Myanmar (July 2015)
<p>In July 2015 the Tropical Storm Komen crossed Myanmar. Heavy rainfall triggered multiple landslides in western Myanmar. The biggest one was close to Tonzang and had a dimension of approx. 1x5km.</p> <p>The pre-event acquisition is from 8th November 2014 (EO-1) and the post-event acquisition is from 5th January 2016 (Sentinel-2).<br> <br> <em>Contains modified Copernicus Sentinel data (2016)</em></p>
Precision viticulture dataset for detailed vineyard mapping composed of geotagged smartphone ground images, phytosanitary status, UAV orthomosaics, 3D point clouds, and RTK GNSS data - Northern Spain, July 2022
<p>This dataset offers a rich multimodal collection of data from vineyards, designed to enhance agricultural research with a focus on vineyard management and disease monitoring. It includes geotagged smartphone ground images in ".7z" format for detailed plant-level analysis, a ".csv" file detailing plants' phytosanitary status for health assessment, UAV-derived 3D Point Clouds and orthomosaics in ".las" and ".tiff" formats for aerial landscape views, and RTK GNSS data in ".shp" format for precise plant geolocations.</p> <p>This dataset can be combined with other datasets to enable a comprehensive view of the vineyards and improve its value:</p> <div> <ul> <li>Ariza-Sentís, Mar, Sergio Vélez, and João Valente. ‘Dataset on UAV RGB Videos Acquired over a Vineyard Including Bunch Labels for Object Detection and Tracking’. <em>Data in Brief</em> 46 (February 2023): 108848. <a href="https://doi.org/10.1016/j.dib.2022.108848">https://doi.org/10.1016/j.dib.2022.108848</a>.</li> <li>Vélez, Sergio, Mar Ariza-Sentís, and João Valente. ‘VineLiDAR: High-Resolution UAV-LiDAR Vineyard Dataset Acquired over Two Years in Northern Spain.’ <em>Data in Brief</em>, October 2023, 109686. <a href="https://doi.org/10.1016/j.dib.2023.109686">https://doi.org/10.1016/j.dib.2023.109686</a>.</li> <li> <div> <div>Vélez, Sergio, Mar Ariza-Sentís, and João Valente. ‘Dataset on Unmanned Aerial Vehicle Multispectral Images Acquired over a Vineyard Affected by Botrytis Cinerea in Northern Spain’. <em>Data in Brief</em> 46 (February 2023): 108876. <a href="https://doi.org/10.1016/j.dib.2022.108876">https://doi.org/10.1016/j.dib.2022.108876</a>.</div> <div> </div> </div> </li> </ul> </div>
Omnibus Poll Ukraine - July 2023 (Ilko Kucheriv Democratic Initiatives Foundation + Kyiv International Institute of Sociology) – Random-sample questionnaire-based representative poll
This data collection offers a representative omnibus survey of the Ukrainian population, living in territories controlled by the Ukrainian government without ongoing armed hostilities. The survey was conducted by the Ilko Kucheriv Democratic Initiatives Foundation together with the Kyiv International Institute of Sociology from 03 to 17 July 2023. A description of the methodology is given on p.2 of the "selected results" file, which is part of this data collection. The poll covers the following thematic fields: jobs + entrepreneurship, corruption, economic situation, healthcare sector, war, people under Russian occupation. This data collection contains the original survey data. The SPSS file (.sav) is the original file provided by the Ilko Kucheriv Democratic Initiatives Foundation. It has been exported into an Excel file. The content of the respective xlsx-file should be identical with the original sav-file. The sav-file contains the questions and answer options of the original questionnaire in Ukrainian. The original questionnaire and an English translation are also included in this data collection as separate pdf-files. Additionally, the data collection contains one file with "selected results" which document some major results of the survey in the form of a analytical summaries and descriptive statistics and another file with a clarification concerning the interpretation of question 5.24 about the president's "personal responsibility" for corruption in the country. These files are in Ukrainian only. New in version 1.1: An English translation of the questionnaire has been added under "files".
LEMMI instance 2022_01_PROK_NCBI, July 2022
<p>LEMMI instance 2022_01_PROK_NCBI, to reproduce what is found on https://lemmi.ezlab.org</p> <p>See README.md</p>
Polymerase Structure Alignments - v4 Update (July 2022)
<p>v4 update (July 2022) of superposed viral polymerase structures using the methodology described in <br> <em>A Comprehensive Superposition of Viral Polymerase Structures</em> by Olve Peersen, <a href="https://www.mdpi.com/1999-4915/11/8/745">Viruses 2019 11(8) 745</a>.</p> <p> • <strong>_All_PDBs_v4.zip</strong> contains a single directory with coordinate files for 917 structures taken from 628 PDB entries. Uncompressed size is 1.6 GB.</p> <p> • <strong>Polymerases_v4.zip</strong> contains the complete set of files from the superpositions, including the _All_PDBs/ directory. Uncompressed size is 5.7 GB.</p> <p>---------------------------------------------------------------------------------------------------------------<br> POLYMERASE STRUCTURES community page at Zenodo.org </p> <p> v4 Release July 19, 2022</p> <p> 917 structures from 628 PDB entries</p> <p> http://www.zenodo.org/communities/pols/ <br> =========================================================================================</p> <p>This directory contains a large collection viral polymerase structure coordinates that have been superposed using the methods described in Peersen, Viruses 2019, 11(8), 745. </p> <p>They are released into the public domain under the Creative Commons Attribution (CC BY) license. </p> <p>Please cite the following two references for any derivative work:</p> <p> 1) Reference to the publication describing the methodology:<br> Peersen, OB<br> A Comprehensive Superposition of Viral Polymerase Structures.<br> Viruses 2019, 11(8), 745 <br> https://doi.org/10.3390/v11080745</p> <p> 2) DOI reference that always resolves to the latest release of the dataset:<br> Peersen, OB<br> Polymerase Structure Alignments<br> https://doi.org/10.5281/zenodo.3361874</p> <p><br> ---------------------------------------------------------------------------------------------<br> Olve Peersen Olve.Peersen@ColoState.edu<br> Professor<br> Biochemistry & Molecular Biology<br> 1870 Campus Delivery<br> Colorado State University<br> Ft. Collins, CO 80523-1870<br> -------------------------------------------------------------------------</p> <p>=============================================================================</p> <p>v4 220719 - Many updates and several news sets, as outlined below. <br> The total count is now 917 polymerase structures from 628 PDB entries</p> <p> 2-rddp: Foamyvirus FOAM added, but rest of set left unchanged</p> <p> 3-dsdn: Simplified as hsv1 was pulled into its own set (see below)</p> <p><br> NEW alph: Alphaviruses - RRV: 7f0s,<br> SINV: 7vb4, 7vw5</p> <p> aren: Lassa: 7ckl, 7ela, 7och, 7oe3, 7oe7, 7oea, 7oeb,<br> 7ojj, 7ojk, 70jl, 7ojn<br> Machupo: 7ckm, 7el9, 7elb, 7elc, 7vgq, 7vh1, 7vh2, 7vh3</p> <p> buny: RVF: 7eei<br> LaCrosse: 7ori, 7orj, 7ork, 7orl, 7orm, 7orn, 7oro</p> <p> coro: 7dfg, 7dfh, 7doi, 7dok, 7dte, 7ed5, 7egq, 7eiz, 7krn, 7kro, 7krp, <br> 7oyg, 7ozu, 7ozv, 7rdx, 7rdy, 7rdz, 7re0, 7re1, 7re2, 7re3, 7thm </p> <p> fluv: 7nha, 7nhc, 7nhx, 7ni0, 7nik, 7nil, 7nir, 7nis, 7nj3, 7nj4, 7nj5, <br> 7nj7, 7nk1, 7nk2, 7nk4, 7nk6, 7nk8, 7nka, 7nkc, 7nki, 7nkr, 7z42, <br> 7z43, 7z43, 7z4o, 7z4o</p> <p> NEW foam: Foamyviruses - 7o0g, 7o0h, 7024<br> Created FOAM.pdb from core of 7o0g.pdb, which was <br> superposed on rddp set, but the orientations of other <br> members of that set (HIV,MMLV,TERT) were not updated.</p> <p> NEW hsv1: Herpes Simplex Virus - 2gv9, 7luf</p> <p> pest: Classic Swine Fever Virus: 7ekj</p> <p> poxv: 7amv, 7aof, 7aoh, 7aoz, 7ap8, 7ap9</p> <p> rb69: 2atq, 7f4y</p> <p> tavp: 7om2, 7om6, 7om7, 7om9, 7oma<br> </p>
Survey on the Effects of COVID-19 on the Wellbeing of Mexico City Households (ENCOVID- 19 CDMX – JULY 2020)
<p>Amid the COVID-19 outbreak, the ENCOVID-19 CDMX provides information on the well-being of Mexico City households in four main domains: labor, income, mental health, and food insecurity. It offers timely information to understand the social consequences of the pandemic and the lockdown measures. It is a cross-sectional telephone survey that, in addition to the four main domains and a set of COVID-19 related questions, includes key indicators to capture the impact of the pandemic on issues like education, social programs, and crime. This is the first dataset of the project, corresponding to July 2020, collected four months after the lockdown began in Mexico. Data collection was performed between the 8th and the 17th of July.</p>
UAV Laser Scanning surveys of the lake terminating glacier Fjallsjokull in SE Iceland, captured in July, 2021.
<p>This dataset consists of 5 separate laser scanning surveys performed between the 8th and 15th July, 2021. Two surveys were conducted in the morning and afternoon of the 8th and the 9th, and then only the morning of the 15th. The point clouds have been cleaned to remove erroneous points. The point clouds were processed using the methods and code available at <a href="https://github.com/christomsett/Direct_Georeferencing">Direct_Georeferencing</a>. All point clouds are georeferenced in the projected WGS 1984 UTM 28N system, and provided in the widely used compressed 'laz' format. An accuracy assessment of the data showed that all surveys were consistent to within 0.1 m of each other, apart from the second flight (afternoon) on the 8th July. Any users of this data should be aware of its limitations in a challenging cryospheric environment. </p>
Observational rainfall data of the 2021 mid-July flood event in Belgium – Part 1. Rain gauges observations
<p>From July 13th to 16th 2021, a long period of sustained and heavy rainfall affected Central Europe producing extreme rainfall amounts in western Germany, eastern Belgium, Luxembourg and The Netherlands. In Belgium, this unusual event induced massive flooding on a large part of the country and was responsible for 39 fatalities and strong damages to buildings and infrastructures.</p><p>Such extremely rare event needs to be documented as much as possible and data must be made available for further studies in hydrology, in urban planning and, more generally, in all multi-disciplinary studies aiming at identifying and understanding all factors leading to such disaster.</p><p>The observational rainfall data available for Belgium during the period from July 13th to July 16th 2021 are here shared with the scientific community. These data are twofold and provided in 2 parts:</p><p><br><strong>Part 1. </strong><a href="https://doi.org/10.5281/zenodo.7739983"><strong>Observations from high-quality rain gauges</strong></a></p><p>The dataset includes daily precipitation accumulation recorded by 323 weighing and manual rain gauges in Belgium as well as 5-min precipitation data recorded by 168 weighing rain gauges. These data were checked for possible errors and inconsistencies.</p><p>The rain gauges observations are provided in csv format in 2 files:</p><ul><li>RainGaugesData_FLOOD21_daily.csv</li><li>RainGaugesData_FLOOD21_5min.csv</li></ul><p><br><strong>Part 2. </strong><a href="https://doi.org/10.5281/zenodo.7740059"><strong>Radar-based quantitative precipitation estimation (RADFLOOD21)</strong></a></p><p>This product provides a quantitative precipitation estimation of the event at high spatial (i.e., 1 km) and temporal (i.e., 5 min and hourly) resolutions. It is obtained after a careful processing of the weather radar measurements and a merging with rain gauge measurements. The data is provided in hdf5 format. In addition, an animation of the 5-min RADFLOOD21 data is also made available.</p><p> </p><p>These data are exposed and discussed in <a href="https://hess.copernicus.org/articles/27/3169/2023/">https://hess.copernicus.org/articles/27/3169/2023/</a>. In particular, several analyses of these data are performed to describe the spatial and temporal distribution of rainfall during the event and to illustrate its exceptional character.</p><p> </p>
Physical oceanography and meteorological data from the W1M3A observatory, Ligurian Sea (North Western Mediterranean) July 2021 - April 2022
<p>Time series data of physical oceanography (salinity, temperature) and meteorology (atmospheric pressure, wind speed and direction, air temperature and humidity, shortwave radiation, longwave radiation and rain) collected from July 2021 to April 2022 by observatory W1M3A at 1h interval. The file contains tabular data (tab delimited) with the following columns: Day; Month; Year; UTC Hour; Minute ; Longitude [deg]; Latitude [deg]; Atmospheric Pressure [hPa]; Wind speed [m/s]; Wind direction [deg]; Air Temperature [°C]; Relative air humidity [%]; Short wave Radiation [W/m2]; Long wave radiation [W/m2]; Rainfall [mm/h]; Sea temperature @ 6 m [°C]; Sea temperature @ 20 m [°C]; Sea temperature @ 36 m [°C]; Salinity @ 6 m [psu]; Salinity @ 20 m [psu], Salinity @ 36 m [psu].</p>
Physical oceanography and meteorological data from the W1M3A observatory, Ligurian Sea (North Western Mediterranean) October 2020 - July 2021
<p>Time series data of physical oceanography (salinity, temperature) and meteorology (atmospheric pressure, wind speed and direction, air temperature and humidity, shortwave radiation, longwave radiation and rain) collected from October 2020 to July 2021 by observatory W1M3A at 1h interval. The file contains tabular data (tab delimited) with the following columns: Day; Month; Year; UTC Hour; Minute ; Longitude [deg]; Latitude [deg]; Atmospheric Pressure [hPa]; Wind speed [m/s]; Wind direction [deg]; Air Temperature [°C]; Relative air humidity [%]; Short wave Radiation [W/m2]; Long wave radiation [W/m2]; Rainfall [mm/h]; Sea temperature @ 6 m [°C]; Sea temperature @ 20 m [°C]; Sea temperature @ 36 m [°C]; Salinity @ 6 m [psu]; Salinity @ 20 m [psu], Salinity @ 36 m [psu].</p>
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.