Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
657
datasets available to search
ShareScore release 0.9.0
Dataset results
657 results for “July”
Supplementary material 2: Seu Nico Community Dynamics from: Tree Diversity and Dynamics of the Forest of Seu Nico, Viçosa, Minas Gerais, Brazil - Biodiversity Data Journal 3: e5425 (31 July 2015) https://doi.org/10.3897/BDJ.3.e5425
2868 tree occurrences from two census within 100 plots of 10x10 m in the Forest of Seu Nico (FSN), Viçosa municipality, Minas Gerais, Brazil, including measurements of each tree as well as environmental data from all 100 plots. Dataset consists of seven independent files
Figure 1. from: Tree Diversity and Dynamics of the Forest of Seu Nico, Viçosa, Minas Gerais, Brazil - Biodiversity Data Journal 3: e5425 (31 July 2015) https://doi.org/10.3897/BDJ.3.e5425
Figure 1. - The Forest of Seu Nico (FSN) covers the bottom and the slopes of a small valley on the Bom Sucesso Farm in Viçosa, Minas Gerais, Brazil. Photograph by M. Gastauer from northeastern direction.
PheKnowLator Human Disease KG Benchmarks: Instance-Standard Relations-OWL (v2.1.0 - July 2021)
<p><strong>PKT Human Disease Knowledge Graph Benchmark Builds (v2.1.0)</strong></p><p><strong>Build Type: </strong><i>Instance-Standard Relations-OWL</i></p><p><strong>Build Date: </strong>July 06, 2021</p><p> </p><h3><strong>Important Build Information</strong></h3><p>The benchmarks were originally built and stored using Google Cloud Platform (GCP) resources. For details and a complete description of this process, can be found on GitHub (<a href="https://github.com/callahantiff/PheKnowLator/tree/master/builds#readme">here</a>). Note that we have developed an archive for the builds on Zenodo. While the original GCP resources contained all associated files, due to the file size upload limits associated with each archive, we have limited the uploaded files to the KGs, associated metadata, and log files. The list of resources, including their URLs, and date of download, can all be found in the associated logs.</p><p>Details on each of the files generated by the build process can be found in the file associated with this directory (<a href="https://zenodo.org/records/10065431/files/PheKnowLator_HumanDiseaseKG_Output_FileInformation.xlsx?download=1">PheKnowLator_HumanDiseaseKG_Output_FileInformation.xlsx</a>).</p><p> </p><p>🚨 <strong>AVAILABLE FILES </strong>🚨 </p><ul><li>Available KG benchmark files are zipped and listed below.</li><li>For additional details on what each file contains, please see the associated Wiki page 👉 <a href="https://github.com/callahantiff/PheKnowLator/wiki/July-06%2C-2021">here</a>.</li></ul>
PheKnowLator Human Disease KG Benchmarks: Class-Inverse Relations-OWLNETS (v2.1.0 - July 2021)
<p><strong>PKT Human Disease Knowledge Graph Benchmark Builds (v2.1.0)</strong></p><p><strong>Build Type: </strong><i>Class-Inverse Relations-OWLNETS</i></p><p><strong>Build Date: </strong>July 06, 2021</p><p> </p><h3><strong>Important Build Information</strong></h3><p>The benchmarks were originally built and stored using Google Cloud Platform (GCP) resources. For details and a complete description of this process, can be found on GitHub (<a href="https://github.com/callahantiff/PheKnowLator/tree/master/builds#readme">here</a>). Note that we have developed an archive for the builds on Zenodo. While the original GCP resources contained all associated files, due to the file size upload limits associated with each archive, we have limited the uploaded files to the KGs, associated metadata, and log files. The list of resources, including their URLs, and date of download, can all be found in the associated logs.</p><p>Details on each of the files generated by the build process can be found in the file associated with this directory (<a href="https://zenodo.org/records/10065431/files/PheKnowLator_HumanDiseaseKG_Output_FileInformation.xlsx?download=1">PheKnowLator_HumanDiseaseKG_Output_FileInformation.xlsx</a>).</p><p> </p><p>🚨 <strong>AVAILABLE FILES </strong>🚨 </p><ul><li>Available KG benchmark files are zipped and listed below.</li><li>For additional details on what each file contains, please see the associated Wiki page 👉 <a href="https://github.com/callahantiff/PheKnowLator/wiki/July-06%2C-2021">here</a>.</li></ul>
PheKnowLator Human Disease KG Benchmarks: Class-Inverse Relations-OWL (v2.1.0 - July 2021)
<p><strong>PKT Human Disease Knowledge Graph Benchmark Builds (v2.1.0)</strong></p><p><strong>Build Type: </strong><i>Class-Inverse Relations-OWL</i></p><p><strong>Build Date: </strong>July 06, 2021</p><p> </p><h3><strong>Important Build Information</strong></h3><p>The benchmarks were originally built and stored using Google Cloud Platform (GCP) resources. For details and a complete description of this process, can be found on GitHub (<a href="https://github.com/callahantiff/PheKnowLator/tree/master/builds#readme">here</a>). Note that we have developed an archive for the builds on Zenodo. While the original GCP resources contained all associated files, due to the file size upload limits associated with each archive, we have limited the uploaded files to the KGs, associated metadata, and log files. The list of resources, including their URLs, and date of download, can all be found in the associated logs.</p><p>Details on each of the files generated by the build process can be found in the file associated with this directory (<a href="https://zenodo.org/records/10065431/files/PheKnowLator_HumanDiseaseKG_Output_FileInformation.xlsx?download=1">PheKnowLator_HumanDiseaseKG_Output_FileInformation.xlsx</a>).</p><p> </p><p>🚨 <strong>AVAILABLE FILES </strong>🚨 </p><ul><li>Available KG benchmark files are zipped and listed below.</li><li>For additional details on what each file contains, please see the associated Wiki page 👉 <a href="https://github.com/callahantiff/PheKnowLator/wiki/July-06%2C-2021">here</a>.</li></ul>
PheKnowLator Human Disease KG Benchmarks: Class-Standard Relations-OWLNETS (v2.1.0 - July 2021)
<p><strong>PKT Human Disease Knowledge Graph Benchmark Builds (v2.1.0)</strong></p><p><strong>Build Type: </strong><i>Class-Standard Relations-OWLNETS</i></p><p><strong>Build Date: </strong>July 06, 2021</p><p> </p><h3><strong>Important Build Information</strong></h3><p>The benchmarks were originally built and stored using Google Cloud Platform (GCP) resources. For details and a complete description of this process, can be found on GitHub (<a href="https://github.com/callahantiff/PheKnowLator/tree/master/builds#readme">here</a>). Note that we have developed an archive for the builds on Zenodo. While the original GCP resources contained all associated files, due to the file size upload limits associated with each archive, we have limited the uploaded files to the KGs, associated metadata, and log files. The list of resources, including their URLs, and date of download, can all be found in the associated logs.</p><p>Details on each of the files generated by the build process can be found in the file associated with this directory (<a href="https://zenodo.org/records/10065431/files/PheKnowLator_HumanDiseaseKG_Output_FileInformation.xlsx?download=1">PheKnowLator_HumanDiseaseKG_Output_FileInformation.xlsx</a>).</p><p> </p><p>🚨 <strong>AVAILABLE FILES </strong>🚨 </p><ul><li>Available KG benchmark files are zipped and listed below.</li><li>For additional details on what each file contains, please see the associated Wiki page 👉 <a href="https://github.com/callahantiff/PheKnowLator/wiki/July-06%2C-2021">here</a>.</li></ul>
PheKnowLator Human Disease KG Benchmarks: Instance-Inverse Relations-OWL (v2.1.0 - July 2021)
<p><strong>PKT Human Disease Knowledge Graph Benchmark Builds (v2.1.0)</strong></p><p><strong>Build Type: </strong><i>Instance-Inverse Relations-OWL</i></p><p><strong>Build Date: </strong>July 06, 2021</p><p> </p><h3><strong>Important Build Information</strong></h3><p>The benchmarks were originally built and stored using Google Cloud Platform (GCP) resources. For details and a complete description of this process, can be found on GitHub (<a href="https://github.com/callahantiff/PheKnowLator/tree/master/builds#readme">here</a>). Note that we have developed an archive for the builds on Zenodo. While the original GCP resources contained all associated files, due to the file size upload limits associated with each archive, we have limited the uploaded files to the KGs, associated metadata, and log files. The list of resources, including their URLs, and date of download, can all be found in the associated logs.</p><p>Details on each of the files generated by the build process can be found in the file associated with this directory (<a href="https://zenodo.org/records/10065431/files/PheKnowLator_HumanDiseaseKG_Output_FileInformation.xlsx?download=1">PheKnowLator_HumanDiseaseKG_Output_FileInformation.xlsx</a>).</p><p> </p><p>🚨 <strong>AVAILABLE FILES </strong>🚨 </p><ul><li>Available KG benchmark files are zipped and listed below.</li><li>For additional details on what each file contains, please see the associated Wiki page 👉 <a href="https://github.com/callahantiff/PheKnowLator/wiki/July-06%2C-2021">here</a>.</li></ul>
PheKnowLator Human Disease KG Benchmarks: Class-Standard Relations-OWL (v2.1.0 - July 2021)
<p><strong>PKT Human Disease Knowledge Graph Benchmark Builds (v2.1.0)</strong></p><p><strong>Build Type: </strong><i>Class-Standard Relations-OWL</i></p><p><strong>Build Date: </strong>July 06, 2021</p><p> </p><h3><strong>Important Build Information</strong></h3><p>The benchmarks were originally built and stored using Google Cloud Platform (GCP) resources. For details and a complete description of this process, can be found on GitHub (<a href="https://github.com/callahantiff/PheKnowLator/tree/master/builds#readme">here</a>). Note that we have developed an archive for the builds on Zenodo. While the original GCP resources contained all associated files, due to the file size upload limits associated with each archive, we have limited the uploaded files to the KGs, associated metadata, and log files. The list of resources, including their URLs, and date of download, can all be found in the associated logs.</p><p>Details on each of the files generated by the build process can be found in the file associated with this directory (<a href="https://zenodo.org/records/10065431/files/PheKnowLator_HumanDiseaseKG_Output_FileInformation.xlsx?download=1">PheKnowLator_HumanDiseaseKG_Output_FileInformation.xlsx</a>).</p><p> </p><p>🚨 <strong>AVAILABLE FILES </strong>🚨 </p><ul><li>Available KG benchmark files are zipped and listed below.</li><li>For additional details on what each file contains, please see the associated Wiki page 👉 <a href="https://github.com/callahantiff/PheKnowLator/wiki/July-06%2C-2021">here</a>.</li></ul>
PheKnowLator Human Disease KG Benchmarks: Instance-Standard Relations-OWLNETS (v2.1.0 - July 2021)
<p><strong>PKT Human Disease Knowledge Graph Benchmark Builds (v2.1.0)</strong></p><p><strong>Build Type: </strong><i>Instance-Standard Relations-OWLNETS</i></p><p><strong>Build Date: </strong>July 06, 2021</p><p> </p><h3><strong>Important Build Information</strong></h3><p>The benchmarks were originally built and stored using Google Cloud Platform (GCP) resources. For details and a complete description of this process, can be found on GitHub (<a href="https://github.com/callahantiff/PheKnowLator/tree/master/builds#readme">here</a>). Note that we have developed an archive for the builds on Zenodo. While the original GCP resources contained all associated files, due to the file size upload limits associated with each archive, we have limited the uploaded files to the KGs, associated metadata, and log files. The list of resources, including their URLs, and date of download, can all be found in the associated logs.</p><p>Details on each of the files generated by the build process can be found in the file associated with this directory (<a href="https://zenodo.org/records/10065431/files/PheKnowLator_HumanDiseaseKG_Output_FileInformation.xlsx?download=1">PheKnowLator_HumanDiseaseKG_Output_FileInformation.xlsx</a>).</p><p> </p><p>🚨 <strong>AVAILABLE FILES </strong>🚨 </p><ul><li>Available KG benchmark files are zipped and listed below.</li><li>For additional details on what each file contains, please see the associated Wiki page 👉 <a href="https://github.com/callahantiff/PheKnowLator/wiki/July-06%2C-2021">here</a>.</li></ul>
The number of precipitation days of three adjacent stations (Tingri, Lazi, Nyalam) of the Mount Qomolangma in July since 1961
<p><strong>The number of precipitation days of three adjacent stations (Tingri, Lazi, Nyalam) of the Mount Qomolangma in July since 1961, light rain level, moderate rain level, heavy rain level and above.</strong></p>
DEM generated from ASTER L1A v.3 stereo imagery acquired over Mt. Rainier on July 31st, 2017 using Ames Stereo Pipeline
<p>This DEM was generated using ASTER L1A dataset was procured from <a href="https://www.earthdata.nasa.gov/">NASA EarthData portal</a> through the stereo processing example in <a href="https://github.com/uw-cryo/asp_tutorials/tree/master">asp_tutorials</a>.</p><ul><li>We intend to use this DEM during the co-registration tutorial.</li></ul><p> </p>
Aerosol, Temperature and Water Vapor profiling during the BIOSPHERE Athens Campaign - NTUA - Level 3 - July 2023
<p>July 2023 - Level 3 of the lidar data obtained by the EOLE and DEPOLE lidar systems in the National Technical University of Athens (NTUA), during the EURAMET European Partnership on Metrology (EPM) project BIOSPHERE.</p>
Judaculla Rock - July 2017 UAS Imagery
This model was done by Dr. Jannie Loubser and Joel Logan, GISP on a field visit on 7/22/2017 for Straum Unlimited, LLC. This model was done after Stratum Unlimited completed a lengthy project of removing grafitti from the rock. This model was done entirely from photos from a DJI Phantom 4 Pro. This site can be visited by the public. It is on a one acre site that Jackson County, NC owns. Source: Objaverse 1.0 / Sketchfab
Addingham Crag 01a (July 2013)
Possible prehistoric carving below Addingham Crag, Rombalds Moor, West Yorkshire. This boulder can be found directly 25 metres E of the more elaborately carved Addingham Crag 01 (IAG210). First noted by Paul Bowers, this stone was recorded and uploaded to ERA by the CSI: Rombalds Moor Project in 2013. The team recorded a possible cup with an arc and a cup with a short groove. The stone is comprised of extremely coarse grain sandstone and pitting is evident all over the stone, so the artificial nature of the depressions is by no means certain. ERA Record: https://archaeologydataservice.ac.uk/era/section/panel/details.jsf?eraId=2625 This model just shows the possible carved area of stone and was created in July 2020 from 6 stereo pairs captured by Peter Butler (CSI team) in July 2013. The imagery forms part of the HLF funded CSI: Rombalds Moor / Watershed Landscape Project archive deposited with ERA. Source: Objaverse 1.0 / Sketchfab
Green Gates 03 (July 2012)
Possible prehistoric carving found in the Green Gates / Grainings Head area of Rombalds Moor, West Yorkshire. This small, wedge-shaped stone is thought to be reference IAG254 in Boughey & Vickerman's 2003 publication, 'Prehistoric Rock Art of the West Riding', where they describe: 'Small rock. Cups and lines on S vertical face, possibly natural.' The CSI: Rombalds Moor project referenced the carving 'Green Gates 03' on ERA in 2013. They provide a more in depth description of the motifs. Whether the cups are artificial or natural is difficult to determine due to the lichen coverage. ERA info: https://archaeologydataservice.ac.uk/era/section/panel/details.jsf?eraId=2339 This decimated model was created from a single stereo pair captured by Peter Butler & Dave Spencer (CSI team) in July 2012. The imagery forms part of the HLF funded CSI: Rombalds Moor / Watershed Landscape Project archive. Source: Objaverse 1.0 / Sketchfab
Cranshaw Thorn Hill 08 (July 2013)
This small stone is set within the remains of denuded prehistoric walling on Cranshaw Thorn Hill, Ilkley Moor, Rombalds Moor, West Yorkshire. It's probably safe to assume from the level of motif preservation, that this stone has spent most of its carved life covered. The majority of cups, rings and grooves are irregular and crudely carved but, still have fresh looking pecking. However, a central broad groove and possible worn ring south of the pecked ring lack tooling, which might suggest different phases of carving. This is recorded in Boughey & Vickerman's 2003 publication 'Prehistoric Rock Art of the West Riding' as IAG276 and was added to ERA by the CSI:Rombalds Moor Project as 'Cranshaw Thorn Hill 08'. It became a protected monument in 1995 as part of the MPP. ERA record: https://archaeologydataservice.ac.uk/era/section/panel/details.jsf?eraId=2593 Historic England scheduling: https://historicengland.org.uk/listing/the-list/list-entry/1012834 Model created from 11 photos captured in July 2013. Source: Objaverse 1.0 / Sketchfab
Annotated transcription of Pieter de Graeff's book auction catalogue (9 July 1709)
<p>Annotated transcription of Pieter de Graeff's book auction catalogue (9 July 1709). Full title: <em>Catalogus Librorum Viri Amplissimi Petri De Graaff (dum viveret) Toparchae In Zuydt-Polsbroeck, Purmerland, Ilpendam, &c. &c. Urbis Amstelodamensis Scabini &c. Quorum auctio habebitur in Aedibus Viduae T. Boom, & haeredum H. Boom. Op de Cingel by de Jan-Roonpoorts Tooren. Die Martis 9. Julii MDCCIX. Amstelodami, In Officina Bomiana Ubi Catalogi distribuuntur. </em>National Library of Russia, St Petersburg (NL: 16.133.9.36). Scanned copy: <a href="http://primarysources.brillonline.com/browse/book-sales-catalogues-online/catalogus-librorum-collected-by-an-amsterdam-magistrate-amsterdam-widow-dirk-i-boom-heirs-hendrick-boom-1709;bscobsc02687" target="_blank" rel="noopener">Brill Book Sales Catalogue Online</a>. </p> <p>The transcription lists the books’ identified full titles with the authors’ names accompanied by their <a href="https://viaf.org/">VIAF</a> ID's to facilitate identification and disambiguation. Similarly, the <a href="https://www.getty.edu/research/tools/vocabularies/tgn/">Getty Thesaurus of Geographic Names (TGN)</a> has been used to facilitate the identification of the publication places. Matches with the <a href="https://www.ustc.ac.uk/">Universal Short Title Catalogue (USTC)</a> and the <a href="https://data.cerl.org/stcn/_search">Short-Title Catalogue Netherlands (STCN)</a> are also provided.</p> <p>This dataset is analysed and discussed in C. Piccoli, <a href="https://brill.com/display/title/69863">Pieter de Graeff (1638-1707) and his <em>treffelyke bibliotheek</em>. Exploring and Reconstructing an Early Modern Private Library as a Book Collection and as a Physical Space</a> (Leiden: Brill, 2025), and published as supplementary material of this monograph.</p> <p>Author statement:<br>Chiara Piccoli: Conceptualization; research & analysis; books' identification (Theologici, Juridici, Medici & Philosophici; Miscellanei); USTC, STCN and TNG matches; groupings by and identifications of formats, languages, subjects; notes; links to digitized copies; data curation.<br>Bart Reuvekamp: First transcription; books' identification (Theologici).</p> <p> </p>
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°C</strong>.</li> <li>Highest temperature: <strong>37.8°C</strong> on July 18.</li> <li>Lowest temperature: <strong>18.9°C</strong> on July 2.</li> <li>Days with temperatures ≥ 32°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 > 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>
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°C</strong>.</li> <li>Highest temperature: <strong>39.0°C</strong> on July 18.</li> <li>Lowest temperature: <strong>22.1°C</strong> on July 3 and 4.</li> <li>Days with temperatures ≥ 32°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>
LPL5 - July 2021
<p>Measurements of LPL5 (Tejeda) in July 2021</p> <p>Tejeda, Gran Canaria</p> <p>Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL5">info</a></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.