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564 results for “June”
Shedding light on the devastating floods in June 1897 in Romania: early instrumental observations and synoptic analysis
<p>Daily and monthly precipitation totals at different meteorological stations, in Romania, for the year 1897 used for different figures in Ionita and Nagavciuc, 2024.</p> <p>Ionita, M., and V. Nagavciuc, 2024: Shedding Light on the Devastating Floods in June 1897 in Romania: Early Instrumental Observations and Synoptic Analysis. <em>J. Hydrometeor.</em>, <strong>25</strong>, 1729–1745, <a href="https://doi.org/10.1175/JHM-D-23-0230.1" target="_blank" rel="noopener">https://doi.org/10.1175/JHM-D-23-0230.1</a></p>
Kitekraft flight data acquired on 28 June 2024
<p>This dataset captures a flight test of the 2.4m wingspan Kitekraft kite, flown with ground station south of Oberbiberg, Germany. The entire system was operated automatically, only with operators giving high level commands such a launch/land. The kite was reeled out, performed trans-in, flight of 53 figure-8s, trans-out, hover-landing. A main goal of this flight was to perform this entire sequence, test new control software updates, and record anomalies that may occur e.g. due to wind. The kite and ground station were equipped with numerous sensors. The dataset includes a photograph and a README file with a detailed description of the data.</p>
User evaluation results for a Wikidata-centric tool for temporal data in Humanities and Cultural Heritage (June 2024): raw tabular result data and web forms for two questionnaires from five online focus group workshops
<p><strong>Introduction</strong></p> <p>This resource is created for the article: "Wikidata Visualization for Event and Temporal Data Exploration in Digital Humanities and Cultural Heritage" in Semantic Web Journal Special issue on the Semantic Web and Ontology Design for Cultural Heritage. It contains materials use for the user evaluation (June 2024) of a Wikidata visualization tool (<a title="ReKisstory" href="https://rekisstory.labs.vu.nl/" target="_blank" rel="noopener">ReKisstory</a>) described in the article. </p> <p><strong>Summary of the user evaluation</strong></p> <p>The structrue of the user evalution is summarized in the table below:</p> <table style="border-collapse: collapse; width: 99.9708%;"><colgroup><col style="width: 28.0622%;"><col style="width: 26.893%;"><col style="width: 27.0309%;"><col style="width: 17.9856%;"></colgroup> <tbody> <tr> <td> </td> <td>Objectives</td> <td>Setup </td> <td># of people participating</td> </tr> <tr> <td>Pre-workshop survey</td> <td>Understanding potential user profiles before workshop</td> <td>Online questionnaire (Q1)</td> <td>51</td> </tr> <tr> <td>Workshop (Focus Group)</td> <td>Introducing and testing the tool. Obtaining feedback about it</td> <td>Online demo, testing, discussion</td> <td>16</td> </tr> <tr> <td>Post-workshop survey</td> <td>Understanding user needs after testing</td> <td>Online questionnaire (Q2)</td> <td>11</td> </tr> </tbody> </table> <p> </p> <p><strong>The structure of the data is as follows:</strong></p> <p>1. The PDF and PPTX files, containing materials prepared for the pre-workshop survey, workshop, and post-workshop survey:</p> <ul> <li>Pre-workshop survey: Questionnaire (Q1) screenshot from GoogleForms <a href="https://zenodo.org/records/14960584/files/1stQuestionnaire.pdf?download=1&preview=1">1stQuestionnaire.pdf</a></li> <li>Post-workshop survey: Questionnaire (Q2) screenshot from GoogleForms <a href="https://zenodo.org/records/14960584/files/2ndQuestionnaire.pdf?download=1&preview=1">2ndQuestionnaire.pdf</a></li> <li>Documents distributed to the participants of the Focus Group Workshop: <ul> <li>ReKisstory Compare section manual <a href="https://zenodo.org/records/14960584/files/rekisstory_compare_manual.pdf?download=1&preview=1">rekisstory_compare_manual.pdf</a></li> <li>ReKisstory Find section manual <a href="https://zenodo.org/records/14960584/files/rekisstory_find_manual.pdf?download=1&preview=1">rekisstory_find_manual.pdf</a></li> <li>ReKisstory Find example search patterns <a href="https://zenodo.org/records/14960584/files/rekisstory_group_search_example_search_patterns.pdf?download=1&preview=1">rekisstory_group_search_example_search_patterns.pdf</a></li> <li>Workshop slides <a href="https://zenodo.org/records/14960584/files/Focus_Group_Workshop_slides.pptx?download=1&preview=1">Focus_Group_Workshop_slides.pptx</a></li> </ul> </li> </ul> <p>2. The Excel spreadsheets consists of the results of two questionnaires (Q1 and Q2) (<a href="https://zenodo.org/records/14960584/files/Two_questionnaires_online_workshops.xlsx?download=1&preview=1">Two_questionnaires_online_workshops.xlsx</a>): </p> <ul> <li>Pre-workshop survey: Questionnaire (Q1), containing information about potential users: <ul> <li>Demographics</li> <li>Experience of <ul> <li>Time-related data</li> <li>Wikidata</li> <li>SPARQL</li> </ul> </li> </ul> </li> <li>Post-workshop survey: Questionnaire (Q2), containing information about feedback from the Workshop participants : <ul> <li>Comparison with Q1</li> <li>Questions about time-related functionalities</li> <li>Questions about Compare and Find searches</li> <li>Overall comment</li> </ul> </li> </ul> <p><em>Please see "Wikidata Visualization for Event and Temporal Data Exploration in Digital Humanities and Cultural Heritage" for more details</em></p>
Rights of Nature Database - June 2021
<p>Three Versions of a Rights of Nature Database (updated for June 2021). The work developed into the Eco-Jurisprudence Monitor (ecojurisprudence.org)</p>
LPL1 - June 2021
<p>Measurements of LPL1 (Güímar) in June 2021</p> <p>Tenerife</p> <p>Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL1">info</a></p>
LPL5 - June 2021
<p>Measurements of LPL5 (Tejeda) in June 2021</p> <p>Tejeda, Gran Canaria</p> <p>Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL5">info</a></p>
Binary (presence/absence) maps of phototrophic biofilms - Otemma floodplain, June 2020 - November 2020
<p>Maps of presence/absence of phototrophic biofilms - Otemma floodplain, June 2020 - November 2020</p> <p>Presence/Absence is binary, where 0 is "not biofilm" and 1 is "biofilm". <strong>Binary maps generated from probability maps using date-by-date logistic models of Roncoroni et al. (2022)</strong>.</p> <p>For further information see Roncoroni et al.(2022), <a href="http://dx.doi.org/10.1080/01431161.2022.2079963">http://dx.doi.org/10.1080/01431161.2022.2079963</a></p> <p>Details:</p> <ul> <li>Format: .ascii </li> <li>Name format: mmdd_Binary (where mm is the month, and dd the day)</li> <li>Coordinate system: CH1903+ LV95 (EPSG:2056)</li> <li>Spatial resolution: 0.05 m</li> </ul>
LPL16 - June 2022
<p>Measurements of LPL16 (Caceres) in June 2022</p> <p>Provincia de Cáceres</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL16">info</a></p>
LPL8 - June 2022
<p>Measurements of LPL8 (Timanfaya NP) in June 2022</p> <p>Lanzarote</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL8">info</a></p>
LPL15 - June 2022
<p>Measurements of LPL15 (Badajoz) in June 2022</p> <p>Provincia de Badajoz</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL15">info</a></p>
LPL5 - June 2022
<p>Measurements of LPL5 (Tejeda) in June 2022</p> <p>Gran Canaria</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL5">info</a></p>
LPL4 - June 2022
<p>Measurements of LPL4 (Ilha do Corvo) in June 2022</p> <p>Corvo</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL4">info</a></p>
SG - June 2022
<p>Measurements of SG (Global) in June 2022</p> <p></p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/SG">info</a></p>
LPL3 - June 2022
<p>Measurements of LPL3 (Madeira East Coast) in June 2022</p> <p>Madeira</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL3">info</a></p>
LPL1 - June 2022
<p>Measurements of LPL1 (Teide NP) in June 2022</p> <p>Tenerife</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL1">info</a></p>
Juno Stellar Reference Unit (SRU) image data from Juno's G34 Ganymede flyby on 7 June 2021
<p>This is the Juno Stellar Reference Unit (SRU) image data from Juno's G34 Ganymede flyby on 7 June 2021. The image is discussed in the paper, "Surface features of Ganymede revealed in Jupiter-shine by Juno's Stellar Reference Unit," published in AGU Geophysical Research Letters.</p>
AEMO - NEM generation, demand, price, coal generator revenues and other data (30-min frequency), July 2017-June 2021
<p>This dataset includes 30-minute generation, demand, RRP data as well as data on coal generator revenues in the NEM between 1 July 2017 and 30 June 2021. Raw data originate from AEMO and OpenNEM and were assembled by the authors.</p>
lcpz/lfb-datasets: January 2009 to June 2022
<p>Datasets for generating <a href="https://doi.org/10.1007/s42979-021-00523-w">CFSTP</a> and <a href="https://arxiv.org/abs/2105.00451">MARSC</a> instances.</p>
The June 2012 North American Derecho: A testbed for evaluating regional and global climate modeling systems at cloud-resolving scales
<p>This is the companion data for the manuscript titled 'The June 2012 North American Derecho: A testbed for evaluating regional and global climate modeling systems at cloud-resolving scales', submitted to the Journal of Advances in Modeling Earth Systems in September 2022.</p> <p>derecho_simulation_result: this folder contains part of the SCREAM RRM outputs I ran on NERSC Cori in 2021-2022 corresponding to the simulation in Table 1 of the manuscript.</p> <p>wrf_simulation_result: this folder contains part of the WRF outputs run by Jianfeng Li from PNNL (jianfeng.li@pnnl.gov) in 2022 corresponding to the simulations in Table 4 of the manuscript.</p> <p>plot_script: this folder includes python scripts to plot figures shown in the manuscript.</p> <p>ASOS_station: this txt file contains the processed ASOS station wind speed used in the manuscript.</p> <p><br> Unfortunately, all model outputs are large (~ 3.8 TB for SCREAM RRM and 3.1 TB for WRF). Therefore, I only provide the variables (i.e., OLR, precipitation, composite radar reflectivity, and 10-m wind speed) used directly to generate figures in this repository. All model outputs are archived on tape at NERSC.</p> <p>For more details, refer to the manuscript, or contact me (wrliu@ucdavis.edu).</p>
Caldarium. High Res. 17th June 2021
The warm room in the Bath House complex. 498 photos with Mavic pro2. Source: Objaverse 1.0 / Sketchfab
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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.