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Evidence of a Vulnerable Marine Ecosystem documented via tourist submarine off Cape Well-Met, Vega Island, Eastern Antarctic Peninsula (Subarea 48.1) - Multimedia
<p>Video evidence of a Vulnerable Marine Ecosystem (VME) was collected via submarine deployed by the tourist super-yacht MY Scenic Eclipse flagged with Malta. The dive was conducted on the 29th November 2019 within Subarea 48.1. The video of this resource supplements the dataset "Evidence of a Vulnerable Marine Ecosystem documented via tourist submarine off Cape Well-Met, Vega Island, Eastern Antarctic Peninsula (Subarea 48.1) - data'' available at <a href="https://ipt.biodiversity.aq/resource?r=cape-well-met_2019">https://ipt.biodiversity.aq/resource?r=cape-well-met_2019</a>.</p> <p>Method step description:</p> <ol> <li> <p>Video evidence of a Vulnerable Marine Ecosystem (VME) was collected via submarine deployed by the tourist super-yacht MY Scenic Eclipse flagged with Malta. Recordings begin at the greatest depth and continue as the submarine travels up the wall. Footage was taken with a GoPro Hero 7 Black mounted in the pilot window of a U-Boat Worx Cruise Sub 7-300<a href="https://www.uboatworx.com/model/cruisesub"> (https://www.uboatworx.com/model/cruisesub).</a> Four submarine dives were filmed.</p> </li> <li> <p>Prior to footage clean-up it was decided that the longest resulting video would be the one that would be analysed. Footage of each of these dives were provided in multiple files.</p> </li> <li> <p>Final Cut Pro X was first used to join the files into one video file per dive.</p> </li> <li> <p>The videos were then cropped to remove the edge of the pilot’s window frame and to adjust the colour balance.</p> </li> <li> <p>Clean-up then followed the same methodology as was used for analyzing the submarine footage for the successful nomination of four VMEs in WG-EMM-18/35 to remove unusable sequences. For the Cape Well-Met footage that meant the removal of any sequences where the submarine was too far from the wall, where the visibility was poor and when the submarine was paused.</p> </li> <li> <p>Footage from Dive C was the longest resulting video after the completion of this clean-up procedure, thus it became the footage that was analysed.</p> </li> </ol> <p>This project is funded by The Soap and The Sea, a Swiss organic and ocean-friendly soap enterprise that donates half of its profits to Ocean Conservation initiatives.</p>
Lentevallen Aziatische hoornaar met behulp van burgerwetenschap
<p>Deze dataset is verzameld met behulp van burgers die hebben deelgenomen aan het project ‘Voorjaarsvallen Aziatische hoornaar - een studie rond effectiveit en bijvangst’ op MijnTuinlab. Meer info over dit project vind je via volgende link: <a href="https://mijntuinlab.be/projects/27/">https://mijntuinlab.be/projects/27/</a>.</p> <p><br>Deze studie is een samenwerking tussen de Vlaamse overheid, Natuurpunt en de vzw Limburgse Imkersbond, die vallen verdeelt i.k.v. hun eigen project binnen het <a href="https://lv.vlaanderen.be/nieuws/zeven-bijenprojecten-krijgen-steun-kader-van-strategisch-plan-bijenteelt-2023-2027">Strategisch Plan Bijenteelt</a>. Heb je specifieke vragen over dit onderzoek naar de effectiviteit en bijvangst van de voorjaarsvallen, dan kan je terecht bij <a href="mailto:vespawatch@inbo.be">vespawatch@inbo.be</a>.</p> <p>De datafile <strong>lentevallen_MijnTuinlab_2024.csv</strong> beschrijft de tellingen van vangst in lentevallen Aziatische hoornaar binnen het MijnTuinlab project voor het jaar 2024. De data voor 2025 vind je in de file <strong>lentevallen_MijnTuinlab_2025.csv</strong>.</p> <p>Hieronder een korte beschrijving bij enkele van de kolommen:</p> <ul> <li> <p>user_id: unieke id per melder</p> </li> <li> <p>imker: is de melder al dan niet imker</p> </li> <li> <p>aantalbijenkasten: hoeveel bijenkasten heeft een melder</p> </li> <li> <p>organisation: organisatie waartoe de melder behoort</p> </li> <li> <p>created: datum waarop melder zichzelf heeft geregistreerd voor project</p> </li> <li> <p>val_id: unieke id per val</p> </li> <li> <p>telling_id: unieke id per telling</p> </li> <li> <p>val_type: type val</p> </li> <li> <p>lokstof: eigen mengsel of commercieel middel als lokstof</p> </li> <li> <p>info_eigen_lokstof: omschrijving eigen mengsel als lokstof</p> </li> <li> <p>Info_commercieel: omschrijving commerciële lokstof</p> </li> <li> <p>laatste_bijwerking_val: datum waarop gegevens over de val het laatst zijn bijgewerkt</p> </li> <li> <p>nabijheid_bijenkast: bevindt een val zich nabij een bijenkast?</p> </li> <li> <p>Installatie_datum: datum waarop val is geïnstalleerd</p> </li> <li> <p>latitude: latitude van val in WGS 84 (afgerond op 2 cijfers na komma voor afscherming privé gegevens)</p> </li> <li> <p>longitude: longitude van val in WGS 84 (afgerond op 2 cijfers na komma voor afscherming privé gegevens)</p> </li> <li> <p>datum: datum van registratie vangst</p> </li> <li> <p>fotolocatie: ‘waarnemingen’ of ‘obsidentify’ indien een melding met foto beschikbaar via deze platformen</p> </li> <li> <p>laatste_bijwerking_telling: datum waarop de gegevens van een telling het laatst zijn bijgewerkt</p> </li> <li> <p>opmerking_telling</p> </li> <li> <p>per soortengroep (Aziatische hoornaars, Europese hoornaars, hommels, vliegen en muggen, andere wespen, vlinders, andere bijen en andere) is vervolgens het aantal dode gevangen individuen geregistreerd, alsook het aantal levende gevangen individuen per telling.<br><br></p> </li> </ul> <p>Vanuit andere meldpunten zijn achteraf ook data van lentevallen Aziatische hoornaar aan Vespa-Watch bezorgd. Deze zijn samengebracht in de file <strong>data_externe_meldpunten_2024.csv</strong>. </p> <p>In deze file vind je de volgende kolommen terug:</p> <p><strong> </strong></p> <ul> <li> <p>id: unieke id</p> </li> <li> <p>datum: datum van vangst </p> </li> <li> <p>aantal_Aziatische_hoornaars</p> </li> <li> <p>gemeente</p> </li> <li> <p>straat</p> </li> <li> <p>locatie: puntlocatie in WGS 84 (afgerond tot 2 cijfers na de komma voor bescherming privé gegevens)</p> </li> <li> <p>bron</p> </li> </ul> <p><strong> </strong></p> <p>Ontbreekt er nog data van jullie lokale werking rond lentevallen? Contacteer <a href="mailto:vespawatch@inbo.be">vespawatch@inbo.be</a> zodat jullie vangsten aan deze globale dataset kunnen worden toegevoegd.</p> <p><strong> </strong></p> <p>Dit project wordt verlengd in de lente van 2025. Meer info vind je (binnenkort) <a href="https://vespawatch.be/mijn-tuinlab/">hier</a>.</p> <p> </p>
Patient-derived and artificial ascites have minor effects on MeT-5A mesothelial cells and do not facilitate ovarian cancer cell adhesion
<p>Raw data of "Patient-derived and artificial ascites have minor effects on MeT-5A mesothelial cells and do not facilitate ovarian cancer cell adhesion".</p>
Outputs of the Jupyter Notebook - Met Office UKV high-resolution atmosphere model data
<p>The dataset contains the outputs of the notebook "Met Office UKV high-resolution atmosphere model data" published in the urban sensors section of The Environmental Data Science Book.</p> <p><strong>Contributions</strong></p> <p><em>Notebook</em></p> <ul> <li> <p>Samantha V. Adams (author), Met Office Informatics Lab, <a href="https://github.com/svadams">@svadams</a></p> </li> <li> <p>Alejandro Coca-Castro (reviewer), The Alan Turing Institute, <a href="https://github.com/acocac">@acocac</a></p> </li> </ul> <p><em>Dataset originator/creator</em></p> <ul> <li> <p>Met Office Informatics Lab (creator)</p> </li> <li> <p>Microsoft (support)</p> </li> <li> <p>European Regional Development Fund (support)</p> </li> </ul> <p><em>Dataset authors</em></p> <ul> <li> <p>Met Office</p> </li> </ul> <p><em>Dataset documentation</em></p> <ul> <li> <p>Theo McCaie. Met office and partners offer data and compute platform for covid-19 researchers. URL: <a href="https://medium.com/informatics-lab/met-office-and-partners-offer-data-and-compute-platform-for-covid-19-researchers-83848ac55f5f">https://medium.com/informatics-lab/met-office-and-partners-offer-data-and-compute-platform-for-covid-19-researchers-83848ac55f5f</a>.</p> </li> </ul> <p> </p>
Inputs of the Jupyter Notebook - Met Office UKV high-resolution atmosphere model data
<p>The dataset contains the inputs of the notebook "Met Office UKV high-resolution atmosphere model data" published in The Environmental Data Science Book.</p> <p>The input data refer to a subset of single sample data file for 1.5 m temperature as part of the Met Office contribution to the COVID 19 modelling effort.</p> <p>The full dataset was available for download from the Met Office Azure (https://metdatasa.blob.core.windows.net/covid19-response-non-commercial/). The full dataset was available for download under the terms of non-commercial purposes.</p> <p><strong>Contributions</strong></p> <p><em>Notebook</em></p> <ul> <li> <p>Samantha V. Adams (author), Met Office Informatics Lab, <a href="https://github.com/svadams">@svadams</a></p> </li> <li> <p>Alejandro Coca-Castro (reviewer), The Alan Turing Institute, <a href="https://github.com/acocac">@acocac</a></p> </li> </ul> <p><em>Dataset originator/creator</em></p> <ul> <li> <p>Met Office Informatics Lab (creator)</p> </li> <li> <p>Microsoft (support)</p> </li> <li> <p>European Regional Development Fund (support)</p> </li> </ul> <p><em>Dataset authors</em></p> <ul> <li> <p>Met Office</p> </li> </ul> <p><em>Dataset documentation</em></p> <ul> <li> <p>Theo McCaie. Met office and partners offer data and compute platform for covid-19 researchers. URL: <a href="https://medium.com/informatics-lab/met-office-and-partners-offer-data-and-compute-platform-for-covid-19-researchers-83848ac55f5f">https://medium.com/informatics-lab/met-office-and-partners-offer-data-and-compute-platform-for-covid-19-researchers-83848ac55f5f</a>.</p> </li> </ul> <p><strong>Note this data should be used only for non-commercial purposes.</strong></p>
The third Met Office Unified Model-JULES Regional Atmosphere and Land configuration, RAL3
<p>Supporting data for figures in GMD draft paper: The third Met Office Unified Model-JULES Regional Atmosphere and Land configuration, RAL3</p>
Dataset: opgegraven huisplattegronden uit de perioden vanaf het neolithicum tot en met de volle middeleeuwen, in de Antwerpse Kempen
<p>Brondata bij het syntheseonderzoek "<strong>Een archeologisch perspectief op de evolutie van de houtbouw in de Antwerpse Kempen</strong>"</p> <p>De databank omvat opgegraven huisplattegronden - in de Antwerpse Kempen - die dateren vanaf het neolithicum tot en met de volle middeleeuwen.</p> <p>De variabelen in de databank zijn karakteristiek voor de huisbouwtraditie, erfinplanting, binnenindeling, bouwmateriaal, constructie en materiële cultuur. De opgenomen variabelen kunnen onderverdeeld worden in vier globale thema’s:</p> <p>- Locatie</p> <ul> <li>Land</li> <li>Gebied/regio</li> <li>Site en sitecode</li> <li>Ondergrond</li> </ul> <p>- Constructie</p> <ul> <li>Kern</li> <li>Wand</li> <li>Ingang en dak</li> <li>Reparaties</li> <li>Verlaten</li> </ul> <p>- Gebouw</p> <ul> <li>Gebouwtype</li> <li>Kuilen</li> <li>Erf</li> <li>Special elementen</li> </ul> <p>- Datering</p> <ul> <li>Relatief</li> <li>Absoluut</li> <li>Eind</li> </ul> <p> </p> <p> </p>
The MET-Pottery–Variables_System
<p>The variable system was created to compile the 'MET-Pottery–Dataset' within the SNSF project No 100011_156205 ‘Mobilities, Entanglements and Transformations in Neolithic Societies of the Swiss Plateau (3900-3500 BC)’, short ‘MET-project’, conducted at the Institute of Archaeological Sciences, University of Bern between 2014 and 2018 (<a href="https://data.snf.ch/grants/grant/156205">https://data.snf.ch/grants/grant/156205</a>; <a href="https://boris.unibe.ch/77649/">https://boris.unibe.ch/77649/</a>).</p> <p>It represents the largest and temporally most highly resolved collection of morphological pottery data of the Central European Neolithic. It offers data of 1046 ceramic vessels of different styles that originate out of 44 archaeological features of wetland and dryland sites of the northern Alpine Space and adjacent regions. Most of the archaeological contexts – anthropogenic layers of settlements, pits, and ditches – are typology-independent dated using dendrochronology or C14-dates. The data set includes a spreadsheet of nominal and numeric morphological variables, the collection of the vessels’ semi-profile silhouettes and the typological drawings from which all data was collected. In the scope of the MET-project ‘the data was used to elaborate a new mixed method research (MMR) methodology to investigate social relations beyond problematic concepts of homogeneous ‘archaeological cultures’. It is highly relevant for further methodological morphology-based research on pottery.</p>
The MET-Pottery–Site Report
<p>The 'MET-Pottery–Site Report' is part of the PhD thesis submitted by C. Heitz at the University of Bern in 2018 and was coded by M. Hinz. The associated dataset was compiled within the SNSF project No 100011_156205 ‘Mobilities, Entanglements and Transformations in Neolithic Societies of the Swiss Plateau (3900-3500 BC)’, short ‘MET-project’, conducted at the Institute of Archaeological Sciences, University of Bern between 2014 and 2018 (<a href="https://data.snf.ch/grants/grant/156205">https://data.snf.ch/grants/grant/156205</a>; <a href="https://boris.unibe.ch/77649/">https://boris.unibe.ch/77649/</a>).</p> <p>It represents the largest and temporally most highly resolved collection of morphological pottery data of the Central European Neolithic. It offers data of 1046 ceramic vessels of different styles that originate out of 44 archaeological features of wetland and dryland sites of the northern Alpine Space and adjacent regions. Most of the archaeological contexts – anthropogenic layers of settlements, pits, and ditches – are typology-independent dated using dendrochronology or C14-dates. The data set includes a spreadsheet of nominal and numeric morphological variables, the collection of the vessels’ semi-profile silhouettes and the typological drawings from which all data was collected. In the scope of the MET-project ‘the data was used to elaborate a new mixed method research (MMR) methodology to investigate social relations beyond problematic concepts of homogeneous ‘archaeological cultures’. It is highly relevant for further methodological morphology-based research on pottery.</p>
The MET-Pottery–Dataset
<p>The dataset was compiled within the SNSF project No 100011_156205 ‘Mobilities, Entanglements and Transformations in Neolithic Societies of the Swiss Plateau (3900-3500 BC)’, short ‘MET-project’, conducted at the Institute of Archaeological Sciences, University of Bern between 2014 and 2018 (<a href="https://data.snf.ch/grants/grant/156205">https://data.snf.ch/grants/grant/156205</a>; <a href="https://boris.unibe.ch/77649/">https://boris.unibe.ch/77649/</a>).</p> <p>It represents the largest and temporally most highly resolved collection of morphological pottery data of the Central European Neolithic. It offers data of 1046 ceramic vessels of different styles that originate out of 44 archaeological features of wetland and dryland sites of the northern Alpine Space and adjacent regions. Most of the archaeological contexts – anthropogenic layers of settlements, pits, and ditches – are typology-independent dated using dendrochronology or C14-dates. The data set includes a spreadsheet of nominal and numeric morphological variables, the collection of the vessels’ semi-profile silhouettes and the typological drawings from which all data was collected. In the scope of the MET-project ‘the data was used to elaborate a new mixed method research (MMR) methodology to investigate social relations beyond problematic concepts of homogeneous ‘archaeological cultures’. It is highly relevant for further methodological morphology-based research on pottery.</p>
Synthesis of Phenol-Tagged Ruthenium Alkylidene Olefin Metathesis Catalysts for Robust Immobilisation Inside Met-al-Organic Framework Support
<p>Data confirming the structure of the new compounds obtained within the project, published in <em>Catalysts</em> <strong>2023</strong>, <em>13</em>(2), 297; <a href="https://doi.org/10.3390/catal13020297">https://doi.org/10.3390/catal13020297</a></p> <p>The research was supported by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 860322 for the ITN-EJD “Coordination Chemistry Inspires Molecular Catalysis” (CCIMC) and by the National Science Centre, Poland (OPUS grant 2017/27/B/ST5/00941).</p>
Met Office Unified Model outputs for simulations of Proxima Centauri b and TRAPPIST-1e
<p>Five datasets generated by the Met Office Unified Model configured for exoplanets Proxima Centauri b and TRAPPIST-1e. </p> <p>1. Control Prox: A simulation of Proxima Centauri b with a moist N2 atmosphere using observed planetary data (radius, stellar constant) as model parameters</p> <p>2. Warm Prox: A simulation of Proxima Centauri b with a moist N2 atmosphere as if moved to the inner edge of its habitable zone</p> <p>3. Control Trap: A simulation of TRAPPIST-1e with a moist N2 atmosphere using observed planetary data</p> <p>4. Warm Trap: A simulation of TRAPPIST-1e with a moist N2 atmosphere as if moved to the inner edge of its habitable zone</p> <p>5. Dry Trap: A simulation of TRAPPIST-1e with a dry atmosphere</p> <p>The data is used in Cohen et al. (2023). ""Traveling planetary-scale waves cause cloud variability on tidally locked aquaplanets." Submitted to The Planetary Science Journal.</p> <p>Abstract:</p> <p>"Cloud cover at the planetary limb of water-rich Earth-like planets is likely to weaken chemical<br> signatures in transmission spectra, impeding attempts to characterize these atmospheres. However,<br> based on observations of Earth and solar system worlds, exoplanets with atmospheres should have both<br> short-term weather and long-term climate variability, implying that cloud cover may be less during<br> some observing periods. We identify and describe a mechanism driving periodic clear sky events at<br> the terminators in simulations of tidally locked Earth-like planets. A feedback between dayside cloud<br> radiative effects, incoming stellar radiation and heating, and the dynamical state of the atmosphere,<br> especially the zonal wavenumber-1 Rossby wave identified in past work on tidally locked planets, leads<br> to oscillations in Rossby wave phase speeds and in the position of Rossby gyres and results in advection<br> of clouds to or away from the planet’s eastern terminator. We study this oscillation in simulations of<br> Proxima Centauri b, TRAPPIST 1-e, and rapidly rotating versions of these worlds located at the inner<br> edge of their stars’ habitable zones. We simulate time series of the transit depths of the 1.4 μm water<br> feature and 2.7 μm carbon dioxide feature. The impact of atmospheric variability on the transmission<br> spectra is sensitive to the structure of the dayside cloud cover and the location of the Rossby gyres,<br> but none of our simulations have variability significant enough to be detectable with current methods."</p>
Data from: MET receptor activation by stromal cells serves as promising target in melanoma brain metastases
<p>Supplementary tables to our recent manuscript: MET receptor activation by stromal cells serves as promising target in melanoma brain metastases</p>
Video: KB-beelden op Wikimedia Commons verbinden met Wikidata, NDE Hackalod, 9 april 2021
<p><strong>Nederlands: </strong> <a title="Commons:Structured data" href="https://commons.wikimedia.org/wiki/Commons:Structured_data">Structured Data on Commons</a> (SDoC) is een project om afbeeldingen in Wikimedia Commons te voorzien van gestructureerde gegevens uit Wikidata. Hierdoor worden die afbeeldingen beter vindbaar, zichtbaar en herbruikbaar, en worden ze verbonden met de LOD-cloud.</p> <p>Olaf Janssen (KB) legt in deze video uit wat SDoC is, <a title="Commons:Structured data/GLAM/Why" href="https://commons.wikimedia.org/wiki/Commons:Structured_data/GLAM/Why">waarom het een tof project is</a>, wat het oplevert en hoe je er als GLAM zelf mee aan de slag kunt gaan. Hij gebruikt hierbij de <a title="Category:Media contributed by Koninklijke Bibliotheek" href="https://commons.wikimedia.org/wiki/Category:Media_contributed_by_Koninklijke_Bibliotheek">Commons-beelden van de KB</a> als voorbeeld.</p> <p>Zie ook</p> <ul> <li><a href="https://web.archive.org/web/20210402070033/https://hackalod.com/index.php/2021/03/26/nieuwe-hackalod-online-9-april-thema-wikidata/" rel="nofollow">https://web.archive.org/web/20210402070033/https://hackalod.com/index.php/2021/03/26/nieuwe-hackalod-online-9-april-thema-wikidata/</a></li> <li><a href="https://commons.wikimedia.org/wiki/Commons:Structured_data">https://commons.wikimedia.org/wiki/Commons:Structured_data</a></li> <li><a href="https://commons.wikimedia.org/wiki/Commons:Structured_data/About/Why">https://commons.wikimedia.org/wiki/Commons:Structured_data/About/Why</a></li> <li><a href="https://commons.wikimedia.org/wiki/Commons:Structured_data/GLAM">https://commons.wikimedia.org/wiki/Commons:Structured_data/GLAM</a></li> <li><a href="https://commons.wikimedia.org/wiki/Commons:Depicts">https://commons.wikimedia.org/wiki/Commons:Depicts</a></li> </ul> <div> <p>Presentatie die in deze video getoond wordt:</p> <ul> <li><a title="File:KB-beelden op Wikimedia Commons verbinden met Wikidata - NDE Hackalod 9 april 2021 Olaf Janssen.pdf" href="https://commons.wikimedia.org/wiki/File:KB-beelden_op_Wikimedia_Commons_verbinden_met_Wikidata_-_NDE_Hackalod_9_april_2021_Olaf_Janssen.pdf">KB-beelden op Wikimedia Commons verbinden met Wikidata - NDE Hackalod, 9 april 2021</a></li> <li><a href="../records/7673765" target="_blank" rel="noopener">https://zenodo.org/records/7673765</a></li> </ul> </div> <p>Een langere versie van deze video is ook beschikbaar op <a href="https://www.youtube.com/watch?v=vQ6ZTYEiwTU" rel="nofollow">Youtube</a>.</p>
IMPROVER: the new probabilistic post processing system at the UK Met Office: BAMS paper Data
<p>© Crown Copyright, Met Office</p> <p>This is the data associated with the figures in the IMPROVER BAMS paper 2023: <a href="https://doi.org/10.1175/BAMS-D-21-0273.1">https://doi.org/10.1175/BAMS-D-21-0273.1</a>.</p> <p>Gridded data is in CF-NetCDF with reasonably self explanatory metadata, other data such as for Figure 9's wind speed calibration is in CSV.</p>
SECURES-Met - A European wide meteorological data set suitable for electricity modelling (supply and demand) for historical climate and climate change projections
<p>For the modelling of electricity production and demand, meteorological conditions are becoming more relevant due to the increasing contribution from renewable electricity production. But the requirements on meteorological data sets for electricity modelling are quite high. One challenge is the high temporal resolution, since a typical time step for modelling electricity production and demand is one hour. On the other side the European electricity market is highly connected, so that a pure country based modelling does not make sense and at least the whole European Union area has to be considered. Additionally, the spatial resolution of the data set must be able to represent the thermal conditions, which requires high spatial resolution at least in mountainous regions. All these requirements lead to huge data amounts for historic observations and even more for climate change projections for the whole 21st century. Thus, we have developed an aggregated European wide data set that has a temporal resolution of one hour, covers the whole EU area, has a reasonable size but is considering the high spatial variability. This meteorological data set for Europe for the historical period and climate change projections fulfills all relevant criteria for energy modelling. It has a hourly temporal resolution, considers local effects up to a spatial resolution of 1 km and has a suitable size, as all variables are aggregated to NUTS regions. Additionally meteorological information from wind speed and river run-off is directly converted into power productions, using state of the art methods and the current information on the location of power plants. Within the research project SECURES (https://www.secures.at/) this data set has been widely used for energy modelling.</p> <p> </p> <p>The SECURES-Met dataset provides variables visible in the table.</p> <table> <tbody><tr> <th>Variable</th> <th>Short name</th> <th>Unit</th> <th>Aggregation methods</th> <th>Temporal resolution</th> </tr> </tbody><tbody> <tr> <th>Temperature (2m)</th> <td>T2M</td> <td> <p>°C</p> <p>°C</p> </td> <td> <p>spatial mean</p> <p>population weighted mean (recommended)</p> </td> <td>hourly</td> </tr> <tr> <th>Radiation</th> <td> <p>GLO (mean global radiation)</p> <p>BNI (direct normal irradiation)</p> </td> <td> <p>Wm-2</p> <p>Wm-2</p> </td> <td> <p>spatial mean</p> <p>population weighted mean (recommended)</p> </td> <td>hourly</td> </tr> <tr> <th><strong>Potential Wind Power </strong></th> <td>WP</td> <td>1</td> <td>normalized with potentially available area</td> <td>hourly</td> </tr> <tr> <th><strong>Hydro Power Potential</strong></th> <td> <p>HYD-RES (reservoir)</p> <p>HYD-ROR (run-of-river)</p> </td> <td> <p>MW</p> <p>1</p> </td> <td> <p>summed power production</p> <p>summed power production normalized with average daily production</p> </td> <td>daily</td> </tr> </tbody> </table> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p>SECURES-Met is available in a tabular csv format for the historical period (1981-2020, Hydro only until 2010) created from ERA5 and ERA5-Land and two future emission scenarios (<strong>RCP 4.5 </strong>and <strong>RCP 8.5</strong>, both 1951-2100, wind power starting from 1981, hydro power from 1971) created from one CMIP5 EUROCORDEX model (GCM: ICHEC-EC-EARTH, RCM: KNMI-RACMO22E, ensemble run: r12i1p1) on the <strong>spatial aggregation level</strong></p> <ul> <li>NUTS0 (country-wide),</li> <li>NUTS2 (province-wide),</li> <li>NUTS3 (Austria only),</li> <li>and EEZ (Exclusive Economic Zones, offshore only).</li> </ul> <p>The data is divided into the historical (Historical.zip) and the two emission scenarios (Future_RCP45.zip and Future_RCP85.zip), a README file, which describes, how the files are organized, and a folder (Meta.zip), which has information and shape files of the different NUTS levels. As <strong>population weighted</strong> temperature and radiation represent values in geographical areas more relevant for solar power, it is highly relevant to use population weighted files. Spatial mean should be used for reference only.</p> <p>The project SECURES, in which this dataset was produced, was funded by the Climate and Energy Fund (Klima- und Energiefonds) under project number KR19AC0K17532.</p>
Met Office ocean glider investigation plots
<p>These plots are the results of a Met Office investigation into the impact of using ocean glider observations on the AMM15 model. These plots are a supplement to a report currently in development.</p>
Experimental Database of deterministic wave prediction built from synchronous measurements from an X-band pulse radar and met-ocean sensors deployed on the Floatgen floating wind turbine and its vicinity on SEM-REV test site.
<p>This dataset is a deliverable of the FLOATECH project, funded under the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101007142.<br> The aim of this dataset is a result of the field experiments carried out at the Floatgen FOWT located at the SEM-REV test site.</p>
A Safety and Efficacy Study of INC280 and Gefitinib in Patients With EGFR Mutated, c-MET-amplified NSCLC Who Have Progressed After EGFRi Treatment
ClinicalTrials.gov study NCT01610336. IPD Sharing: YES. Countries: 14. Publications: 1.
Troriluzole or Placebo Plus Ipi Plus Nivo in Mel Brain Mets
ClinicalTrials.gov study NCT04899921. IPD Sharing: YES. Countries: 1. Publications: 1.
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.