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zenodo36/100

Meteorological Data from Chios: June 2024 Baseline Measurements for the MUSICA Project

<h2><strong>June 2024 &ndash; Chios (Chiostown)</strong></h2> <h3>Introduction</h3> <p>The present meteorological data is collected from the weather station in Chiostown, located in Chios, and is published on the Zenodo platform for open access. The station is positioned at an elevation of 32 meters, and the data includes measurements of temperature, rainfall, wind speed, and wind direction, covering the period from June 1st to June 30th, 2024.&nbsp;These measurements are conducted as part of the&nbsp;<strong>MUSICA</strong> project, which aims to monitor climate changes in the Chiostown area and the broader region of Chios. The data for June 2024 captures the onset of summer, with rising temperatures and the absence of rainfall, reflecting typical seasonal patterns for the region.</p> <p>The files include:</p> <ul> <li><strong>Date and time of recording</strong>: For accurate time tracking of the data.</li> <li><strong>Temperature</strong>: Daily average, maximum, and minimum temperatures in degrees Celsius (&deg;C).</li> <li><strong>Rainfall</strong>: Daily rainfall in millimeters (mm).</li> <li><strong>Wind speed</strong>: Average and maximum daily wind speed in kilometers per hour (km/h).</li> <li><strong>Wind direction</strong>: The prevailing wind direction of the day.</li> </ul> <h3>Data Highlights for June 2024</h3> <ul> <li><strong>Highest temperature</strong>: 36.7&deg;C, recorded on June 13th, 2024, at 16:50.</li> <li><strong>Lowest temperature</strong>: 16.6&deg;C, recorded on June 1st, 2024, at 04:00.</li> <li><strong>Total rainfall</strong>: No rainfall was recorded throughout June 2024.</li> <li><strong>Highest wind speed</strong>: 53.1 km/h, recorded on June 21st, 2024, at 16:20.</li> </ul> <h3>Data Usage</h3> <p>The data is free to use. Users are welcome to download, analyze, and utilize the data for personal, educational, or research purposes, as well as for developing applications and tools that contribute to understanding and addressing weather and climate phenomena.</p>

opencc-by-4.0Oct 2024View details →
zenodo36/100

SUSHEAT Project Animation Video

<p>The Project Animation Video has been developed to support the dissemination and communication activities of the SUSHEAT project.</p> <p>This project is funded by the European Union under Grant Agreement 101103552. The views and opinions expressed are solely those of the author(s) and do not necessarily reflect the views of the European Union or the European Climate, Infrastructure and Environment Executive Agency (CINEA). Neither the European Union nor the granting authority can be held responsible for any use that may be made of the information it contains.</p>

opencc-by-4.0Nov 2024View details →
zenodo36/100

SUSHEAT Project Concept Infographic

<p>The Project Concept Infographic has been developed to support the dissemination and communication activities of the SUSHEAT project.</p> <p>This project is funded by the European Union under Grant Agreement 101103552. The views and opinions expressed are solely those of the author(s) and do not necessarily reflect the views of the European Union or the European Climate, Infrastructure and Environment Executive Agency (CINEA). Neither the European Union nor the granting authority can be held responsible for any use that may be made of the information it contains.</p>

opencc-by-4.0Nov 2024View details →
zenodo36/100

Timema_project

Heaviest intermediate files producted during the analyses on the evolution of parthenogenesis in Timema stick insects

opencc-zeroNov 2024View details →
zenodo36/100

Whole NODES Project (Data folder for the NODES project)

<p>This is the data folder for the whole NODES project.</p> <p>You can find separate subfolders downloads if you are only interested in parts of the analysis (Docker images, OptoSrc, HPN-DREAM).</p>

opencc-by-4.0Oct 2024View details →
zenodo36/100

PV classification results for the MODERATE project

<p>The csv files contain the results of an image classifier, trained to classify images of rooftops of having or not having PV. It was used on the regions Valencia and Bolzano. The IDs are the building identifiers from Open Street Maps and the prediction classifies each building as having a PV (1) or not having a PV (0). In the respective .json file for each region the latitude and longitude are saved for each Open Street Maps ID using EPSG 3035.</p>

opencc-by-4.0Nov 2024View details →
zenodo36/100

GENEActiv accelerometer files collected in Vanuatu during FALAH project (non-anonymized version - first part)

<p><a title="GENEActiv" href="https://activinsights.com/technology/geneactiv/" target="_blank" rel="noopener">GENEActiv</a> accelerometer .csv files converted with a 1 second epoch from raw GENEActiv .bin files recorded in Vanuatu during <a title="FALAH website" href="https://falah.unc.nc/" target="_blank" rel="noopener">FALAH</a> project. Devices are 60-Hz triaxial accelerometers.</p> <p>This dataset also contains&nbsp;<strong>participantCharacteristics.csv</strong>&nbsp;that povides basic information about participants and&nbsp;<strong>read_a_binFile_share.R</strong> that is a short R code aiming at converting and saving accelerometer data from .bin files in 1 second epoch .csv files (consider the Methods section).</p> <p>Participant characteristics: 13 to 17 years old students.</p> <p>Number of participants: 72.</p> <p>Year of the study: 2023.</p> <p>Place of the study: Vanuatu.</p> <p>The accelerometer .csv and .RData files with a 1 second epoch and extracted from raw .bin files are available in the restricted datasets:</p> <ul> <li><a title="Anonymized dataset (first part)" href="https://doi.org/10.5281/zenodo.14043332" target="_blank" rel="noopener">anonymized version (first part)</a></li> <li><a title="Anonymized dataset (second part)" href="https://doi.org/10.5281/zenodo.14089478" target="_blank" rel="noopener">anonymized version (second part)</a></li> </ul> <p>The accelerometer raw .bin files are available in the restricted datasets:</p> <ul> <li><a title="Non-anonymized dataset (first part)" href="https://doi.org/10.5281/zenodo.14043547" target="_blank" rel="noopener">non-anonymized version (first part)</a></li> <li><a title="Non-anonymized dataset (second part)" href="https://doi.org/10.5281/zenodo.14089527">non-anonymized version (second part)</a></li> </ul> <p>Other participant characteristics (age, place of living, ...) and responses to questionnaires are available in <a title="Information and questionnaire associated with GENEActiv accelerometer files collected in Vanuatu during FALAH project (non-anonymized information)" href="https://doi.org/10.5281/zenodo.14189884" target="_blank" rel="noopener">a restricted non-anonymized dataset</a>.</p>

restrictedcc-by-4.0Nov 2024View details →
zenodo36/100

GENEActiv accelerometer files collected in Vanuatu during FALAH project (non-anonymized version - second part)

<p><a title="GENEActiv" href="https://activinsights.com/technology/geneactiv/" target="_blank" rel="noopener">GENEActiv</a> accelerometer .csv files converted with a 1 second epoch from raw GENEActiv .bin files recorded in Vanuatu during <a title="FALAH website" href="https://falah.unc.nc/" target="_blank" rel="noopener">FALAH</a> project. Devices are 60-Hz triaxial accelerometers.</p> <p>This dataset also contains&nbsp;<strong>participantCharacteristics.csv</strong>&nbsp;that povides basic information about participants and&nbsp;<strong>read_a_binFile_share.R</strong> that is a short R code aiming at converting and saving accelerometer data from .bin files in 1 second epoch .csv files (consider the Methods section).</p> <p>Participant characteristics: 13 to 17 years old students.</p> <p>Number of participants: 72.</p> <p>Year of the study: 2023.</p> <p>Place of the study: Vanuatu.</p> <p>The accelerometer .csv and .RData files with a 1 second epoch and extracted from raw .bin files are available in the restricted datasets:</p> <ul> <li><a title="Anonymized dataset (first part)" href="https://doi.org/10.5281/zenodo.14043332" target="_blank" rel="noopener">anonymized version (first part)</a></li> <li><a title="Anonymized dataset (second part)" href="https://doi.org/10.5281/zenodo.14089478" target="_blank" rel="noopener">anonymized version (second part)</a></li> </ul> <p>The accelerometer raw .bin files are available in the restricted datasets:</p> <ul> <li><a title="Non-anonymized dataset (first part)" href="https://doi.org/10.5281/zenodo.14043547" target="_blank" rel="noopener">non-anonymized version (first part)</a></li> <li><a title="Non-anonymized dataset (second part)" href="https://doi.org/10.5281/zenodo.14089527">non-anonymized version (second part)</a></li> </ul> <p>Other participant characteristics (age, place of living, ...) and responses to questionnaires are available in <a title="Information and questionnaire associated with GENEActiv accelerometer files collected in Vanuatu during FALAH project (non-anonymized information)" href="https://doi.org/10.5281/zenodo.14189884" target="_blank" rel="noopener">a restricted non-anonymized dataset</a>.</p>

restrictedcc-by-4.0Nov 2024View details →
zenodo36/100

GODEEEP-hydro - Historical and projected power system ready hydropower data for the United States

<p>This dataset contains monthly and weekly hydropower generation and generation constraints (min, max, daily range) for over 1,400 hydropower plants in the conterminous United States. The dataset includes a historical period (1982-2019) and a future period (2020-2099) with 4 future warming scenarios.</p> <p>For more information please refer to Bracken et al. 2024, godeeep_hydro: Historical and projected power system ready hydropower data for the United States, in prep, or refer to the Github repository https://github.com/GODEEEP/tgw-hydro</p> <h3>Data description</h3> <p>The dataset contains 10 data files with the naming convention <code>&lt;scenario&gt;_&lt;monthly/weekly&gt;.csv</code> where scenario can be either "historical", "rcp45cooler", "rcp45hotter", "rcp85cooler", or "rcp85hotter". "monthly" or "weekly" refers to the timestep of the data.</p> <ul> <li>datetime - The datetime stamp of the current timestep</li> <li>eia_id - An integer value with the EIA plant code that represents the facility</li> <li>plant - The name of the facility according to the EIA</li> <li>power_predicted_mwh - The total energy gnerated over the period in MWh, aka the energy target</li> <li>n_hours - The number of hours in the period, useful for converting between power and energy</li> <li>p_avg - Average power generation for the period</li> <li>p_max - Maximum allowable power generation for the period</li> <li>p_min - Minimum allowable power generation for the period</li> <li>ador - Average daily operational range for any given day in the period</li> <li>scenario - The name of the scenario, either "historical", "rcp45cooler", "rcp45hotter", "rcp85cooler", or "rcp85hotter"</li> </ul> <p>Also included is the metadata file <code>godeeep_hydro_plants.csv</code> which contains metadata for each hydropower plant that is included in the dataset. Each row in this file refers to one hydropower facility. This file has the following columns:</p> <ul> <li>eia_id - An integer value with the EIA plant code that represents the facility</li> <li>plant - The name of the facility according to the EIA</li> <li>mode - Either "Storage" or "RoR" indicating if the plant is primarily operated as a storage or ron-of-river facility</li> <li>state - Two letter U.S. state name</li> <li>lat - Latitude of the facility</li> <li>lon - Longitude of the facility</li> <li>nameplate_capacity - The total nameplate capacity of the facility according to the EIA</li> <li>nerc_region - Four letter code for the NERC region of the facility</li> <li>ba - Balacing authority of the facility</li> <li>max_param - Value of the a_{max} parameter used to derive p_max</li> <li>min_param - Value of the a_{min} parameter used to derive p_min</li> <li>ador_param - Value of the a_{ador} parameter used to derive ador</li> <li>huc2 - Two digit hydrologic unit code (HUC) which contains the facility</li> </ul> <h3>Funding</h3> <p>This research was supported by the Grid Operations, Decarbonization, Environmental and Energy Equity Platform (GODEEEP) Investment, under the Laboratory Directed Research and Development (LDRD) Program at Pacific Northwest National Laboratory (PNNL).</p> <p>PNNL is a multi-program national laboratory operated for the U.S. Department of Energy (DOE) by Battelle Memorial Institute under Contract No. DE-AC05-76RL01830.</p> <p>Corresponding author:</p> <p>Cameron Bracken, cameron.bracken@pnnl.gov</p> <p>v1.1.0 - Update file naming convention</p>

opencc-zeroSep 2024View details →
zenodo36/100

Projected speaker numbers and dormancy risks of Canada's Indigenous languages

<p>Data and code for the paper "Projected speaker numbers and dormancy risks of Canada&rsquo;s Indigenous languages".</p> <p>Contain speaker numbers by age and language (Indigenous mother tongue, unique responses).&nbsp;</p> <p>There is one file per year (2001, 2006, 2011, 2016, 2021).</p> <p>Data were provided by Statistics Canada.</p> <p>These include:&nbsp;</p> <p>- indigenousmothertongue2001.csv<br>- indigenousmothertongue2006.csv<br>- indigenousmothertongue2011.csv<br>- indigenousmothertongue2016.csv<br>- indigenousmothertongue2021.csv</p> <p>Additionally, the file 'coordinates.xlsx' contains the geographic coordinates necessary for Fig. 1. Information comes from Ethnologue with modifications.</p> <p>Also included is the life table information produced by World Population Prospects 2024 (wpp 2024 files) available at https://population.un.org/wpp/Download/Standard/Mortality/. These are provided here for convenience as well as to prevent updates by the WPP.&nbsp;</p> <p>Also contains the whole R code to produce the results described in the paper (RevisedScript_ProjectCanIndigLangs_Final.R).</p>

opencc-by-4.0Dec 2023View details →
zenodo36/100

Meteorological Data from Kardamyla, Chios: July 2024 Baseline Measurements for the MUSICA Project

<p>The analysis of climatological data is crucial for understanding weather patterns in a region. July 2024 was characterized by intense summer conditions in Kardamyla, featuring hot days, minimal rainfall, and steady winds. The following data, collected throughout the month, provides valuable insights into the observed weather phenomena.</p> <h4><strong>Temperature:</strong></h4> <ul> <li>Average temperature: <strong>28.7&deg;C</strong>.</li> <li>Highest temperature: <strong>37.8&deg;C</strong> on July 18.</li> <li>Lowest temperature: <strong>18.9&deg;C</strong> on July 2.</li> <li>Days with temperatures &ge; 32&deg;C: <strong>26 days</strong>.</li> </ul> <h4><strong>Rainfall:</strong></h4> <ul> <li>Total rainfall: <strong>4.8 mm</strong>, all recorded on July 4.</li> <li>Days with rainfall &gt; 0.2 mm: <strong>1 day</strong>.</li> </ul> <h4><strong>Wind:</strong></h4> <ul> <li>Average wind speed: <strong>6.0 km/h</strong>.</li> <li>Maximum wind speed: <strong>48.3 km/h</strong> on July 3.</li> <li>Dominant wind direction: <strong>North (N)</strong>.</li> </ul> <h4><strong>Conclusion:</strong></h4> <p>July was marked by hot temperatures with notable peaks, limited rainfall, and steady winds primarily from the north. The region experienced intense thermal conditions, especially after mid-July, reinforcing the image of a dry and hot summer.</p>

opencc-by-4.0Dec 2024View details →
zenodo36/100

360° video (repo 2) of ancient oak trees from the SCATTER project

<p>This repository contains Insta360 video data recorded of ancient oak trees and surrounds as part of the&nbsp;<a href="https://doi.org/10.5281/zenodo.11658042">SCATTER project</a>.</p> <p>See&nbsp;<a href="https://zenodo.org/records/11658042">https://zenodo.org/records/11658042</a> for a list of trees and other available datasets. See <a href="https://zenodo.org/records/12543267">https://zenodo.org/records/12543267</a> for additional videos.</p> <p>Individual videos were processed with Insta360 Studio and exported in .mp4 format.&nbsp;</p> <h2>Funding, licence and usage</h2> <p>This research was funded by the Woodland Trust Conservation Research Programme. By accessing or using this dataset, you agree to the terms of the relevant licence agreement(s). You will ensure that this dataset is cited in any publication that describes research in which the data have been used.</p>

opencc-by-4.0Jun 2024View details →
zenodo36/100

Meteorological Data from Chios: July 2024 Baseline Measurements for the MUSICA Project

<p>July 2024 presented intense summer conditions in Chios Town, with persistent high temperatures, no rainfall, and steady winds. The data collected throughout the month showcases the extreme summer weather experienced in the region.</p> <h4><strong>Temperature:</strong></h4> <ul> <li>Average temperature: <strong>30.4&deg;C</strong>.</li> <li>Highest temperature: <strong>39.0&deg;C</strong> on July 18.</li> <li>Lowest temperature: <strong>22.1&deg;C</strong> on July 3 and 4.</li> <li>Days with temperatures &ge; 32&deg;C: <strong>28 days</strong>.</li> </ul> <h4><strong>Rainfall:</strong></h4> <ul> <li>Total rainfall: <strong>0.0 mm</strong>.</li> <li>Days with rainfall: <strong>None</strong>.</li> </ul> <h4><strong>Wind:</strong></h4> <ul> <li>Average wind speed: <strong>10.9 km/h</strong>.</li> <li>Maximum wind speed: <strong>54.7 km/h</strong> on July 6, 9, and 15.</li> <li>Dominant wind direction: <strong>North (N)</strong>.</li> </ul> <h4><strong>Conclusion:</strong></h4> <p>July was characterized by extremely high temperatures, no precipitation, and persistent winds from the north. This weather profile reinforces the intensity of summer in the region, highlighting the need for heat and wind monitoring during such periods.</p>

opencc-by-4.0Oct 2024View details →
zenodo36/100

Meteorological Data from Kardamyla, Chios: November 2024 Baseline Measurements for the MUSICA Project

<p>November 2024 exhibited a clear shift to winter conditions in Kardamyla. With lower temperatures, increased rainfall, and occasionally strong winds, the month marked a transition to cooler weather. The following analysis provides detailed insights into the climatic trends observed during November.</p> <h4><strong>Temperature:</strong></h4> <ul> <li>Average temperature: <strong>14.4&deg;C</strong>.</li> <li>Highest temperature: <strong>23.1&deg;C</strong> on November 21.</li> <li>Lowest temperature: <strong>4.7&deg;C</strong> on November 25 and 27.</li> <li>Days with temperatures &ge; 32&deg;C: <strong>0 days</strong>.</li> </ul> <h4><strong>Rainfall:</strong></h4> <ul> <li>Total rainfall: <strong>51.2 mm</strong>.</li> <li>Maximum daily rainfall: <strong>17.2 mm on November 16</strong>.</li> <li>Days with rainfall &gt; 0.2 mm: <strong>10 days</strong>.</li> </ul> <h4><strong>Wind:</strong></h4> <ul> <li>Average wind speed: <strong>8.6 km/h</strong>.</li> <li>Maximum wind speed: <strong>70.8 km/h</strong> on November 21.</li> <li>Dominant wind direction: <strong>North (N)</strong>.</li> </ul> <h4><strong>Conclusion:</strong></h4> <p>November brought significant changes, with cooler temperatures and consistent rainfall, signaling the onset of winter. Strong winds from the north occasionally dominated, reflecting the more dynamic weather patterns typical of the season.</p>

opencc-by-4.0Dec 2024View details →
zenodo36/100

Mobile phone video of individual ancient oak trees stems from the SCATTER project

<p>This repository contains video data recorded of tree stems as part of the <a href="https://doi.org/10.5281/zenodo.11658042">SCATTER project</a>.</p> <p>See&nbsp;<a href="https://zenodo.org/records/11658042">https://zenodo.org/records/11658042</a> for a list of trees and other available datasets.&nbsp;</p> <p>Individual video files are in .mp4 format and were recorded with a Google Pixel 7 phone.&nbsp;</p> <h2>Funding, licence and usage</h2> <p>This research was funded by the Woodland Trust Conservation Research Programme. By accessing or using this dataset, you agree to the terms of the relevant licence agreement(s). You will ensure that this dataset is cited in any publication that describes research in which the data have been used.</p>

opencc-by-4.0Jun 2024View details →
zenodo36/100

Meteorological Data from Kardamyla, Chios: September 2024 Baseline Measurements for the MUSICA Project

<p>September 2024 marked the transition from the intense heat of summer to milder conditions. Significant rainfall was recorded, including one day of heavy precipitation, while temperatures remained relatively moderate. The data provides insights into the climatic behavior of the region during this month.</p> <h4><strong>Temperature:</strong></h4> <ul> <li>Average temperature: <strong>23.9&deg;C</strong>.</li> <li>Highest temperature: <strong>32.8&deg;C</strong> on September 5.</li> <li>Lowest temperature: <strong>14.1&deg;C</strong> on September 25 and 26.</li> <li>Days with temperatures &ge; 32&deg;C: <strong>3 days</strong>.</li> </ul> <h4><strong>Rainfall:</strong></h4> <ul> <li>Total rainfall: <strong>62.8 mm</strong>.</li> <li>Days with rainfall &gt; 0.2 mm: <strong>3 days</strong>.</li> <li>Day with maximum rainfall: <strong>62.2 mm on September 11</strong>.</li> </ul> <h4><strong>Wind:</strong></h4> <ul> <li>Average wind speed: <strong>6.5 km/h</strong>.</li> <li>Maximum wind speed: <strong>53.1 km/h</strong> on September 10 and 13.</li> <li>Dominant wind direction: <strong>Northwest (NNW)</strong>.</li> </ul> <h4><strong>Conclusion:</strong></h4> <p>September exhibited milder temperatures compared to the preceding months, with significant rainfall on September 11 distinguishing it from the dry summer. Winds remained steady, predominantly from the northwest, emphasizing the seasonal shift.</p>

opencc-by-4.0Dec 2024View details →
zenodo36/100

Meteorological Data from Kardamyla, Chios: October 2024 Baseline Measurements for the MUSICA Project

<p>October 2024 reflected the gradual shift to autumn conditions in Kardamyla. With cooler temperatures, no rainfall, and steady winds predominantly from the north, the month was characterized by stable weather patterns. Below is an analysis of the observed data for October, shedding light on the climatic trends of the region.</p> <h4><strong>Temperature:</strong></h4> <ul> <li>Average temperature: <strong>19.9&deg;C</strong>.</li> <li>Highest temperature: <strong>30.1&deg;C</strong> on October 6.</li> <li>Lowest temperature: <strong>9.2&deg;C</strong> on October 27 and 28.</li> <li>Days with temperatures &ge; 32&deg;C: <strong>0 days</strong>.</li> </ul> <h4><strong>Rainfall:</strong></h4> <ul> <li>Total rainfall: <strong>0.0 mm</strong>.</li> <li>Days with rainfall: <strong>None</strong>.</li> </ul> <h4><strong>Wind:</strong></h4> <ul> <li>Average wind speed: <strong>8.6 km/h</strong>.</li> <li>Maximum wind speed: <strong>53.1 km/h</strong> on October 17.</li> <li>Dominant wind direction: <strong>North (N)</strong>.</li> </ul> <h4><strong>Conclusion:</strong></h4> <p>October marked the end of the dry season, with mild to cool temperatures and no rainfall. The north winds remained dominant, often reaching significant speeds, reflecting the stable yet shifting weather patterns typical for autumn in Kardamyla.</p>

opencc-by-4.0Dec 2024View details →
zenodo36/100

Meteorological Data from Kardamyla, Chios: August 2024 Baseline Measurements for the MUSICA Project

<p>August 2024 continued the trend of high temperatures but with slightly milder intensity compared to July. The absence of rainfall, consistent winds, and ongoing drought painted a typical summer landscape for Kardamyla. The following data reflects the weather conditions observed during the month.</p> <h4><strong>Temperature:</strong></h4> <ul> <li>Average temperature: <strong>27.6&deg;C</strong>.</li> <li>Highest temperature: <strong>37.1&deg;C</strong> on August 15.</li> <li>Lowest temperature: <strong>18.4&deg;C</strong> on August 2.</li> <li>Days with temperatures &ge; 32&deg;C: <strong>18 days</strong>.</li> </ul> <h4><strong>Rainfall:</strong></h4> <ul> <li>Total rainfall: <strong>0.0 mm</strong>.</li> <li>Days with rainfall: <strong>None</strong>.</li> </ul> <h4><strong>Wind:</strong></h4> <ul> <li>Average wind speed: <strong>5.6 km/h</strong>.</li> <li>Maximum wind speed: <strong>43.5 km/h</strong> (observed twice, on August 10 and 24).</li> <li>Dominant wind direction: <strong>North (N)</strong>.</li> </ul> <h4><strong>Conclusion:</strong></h4> <p>August maintained typical summer conditions with hot days, clear skies, and mostly northern winds contributing to a sense of coolness. The absence of rainfall highlights the need to monitor drought conditions that may impact the region.</p>

opencc-by-4.0Dec 2024View details →
zenodo36/100

360° video (repo 1) of ancient oak trees from the SCATTER project

<p>This repository contains Insta360 video data recorded of ancient oak trees and surrounds as part of the <a href="https://doi.org/10.5281/zenodo.11658042">SCATTER project</a>.</p> <p>See <a href="https://zenodo.org/records/11658042">https://zenodo.org/records/11658042</a> for a list of trees and other available datasets. See <a href="https://zenodo.org/records/12580682">https://zenodo.org/records/12580682</a> for additional videos.</p> <p>Individual videos were processed with Insta360 Studio and exported in .mp4 format.&nbsp;</p> <h2>Funding, licence and usage</h2> <p>This research was funded by the Woodland Trust Conservation Research Programme. By accessing or using this dataset, you agree to the terms of the relevant licence agreement(s). You will ensure that this dataset is cited in any publication that describes research in which the data have been used.</p>

opencc-by-4.0Jun 2024View details →
zenodo36/100

cassatts in the attic - project specific files

Open the record for dataset details and reuse information.

opencc-by-4.0Jun 2024View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.