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Table 8 for the Study: "Observation of correlation between earthquake triggering of M>4.3 and specific Sun-Moon-Planets positions in the Solar System, from 1600 in Italy."
<p><strong>Graphs of the data distributions, with the R<sup>2</sup> regression values of σFR and the corresponding functions.</strong></p> <p>In case of display problems or missing data, the file <a href="https://zenodo.org/api/files/305630bd-70bd-4347-99eb-bfd6fb3af726/Table%208_SFR_distributions_curves.xlsx">Table 8_SFR_distributions_curves.xlsx</a> on Drive available for consultation is this one: <a href="https://docs.google.com/spreadsheets/d/17UGHZlvZ2N-g6TOzgqpIe248_IitBmka8DbGWsv-lKQ/edit?usp=sharing">https://docs.google.com/spreadsheets/d/17UGHZlvZ2N-g6TOzgqpIe248_IitBmka8DbGWsv-lKQ/edit?usp=sharing</a> </p> <p>URL of the plots of the data distributions, with the <strong>R<sup>2</sup></strong> regression values of σFR at the time of the triggering of the 200 earthquakes analyzed in the paper <em>"Observation of correlation between earthquake triggering of M>4.3 and specific Sun-Moon-Planets positions in the Solar System, from 1600 in Italy", paragraph </em><strong>3.02.</strong></p>
Table 4 for the Study: "Observation of correlation between earthquake triggering of M>4.3 and specific Sun-Moon-Planets positions in the Solar System, from 1600 in Italy."
<p><strong>Video explaining the determination of the Resulting Gravitational Force sigma for the 2009 L'Aquila earthquake.</strong></p> <p>For subtitles in English: <a href="https://youtu.be/-OVk2r8U8QA?t=563">https://youtu.be/-OVk2r8U8QA?t=563</a> --> URL of the video explaining the determination of the Resulting Gravitational Force sigma for the 2009 L'Aquila earthquake, for the article "Correlation observation between the triggering of M>4.3 earthquakes and specific Sun-Moon-Planet positions in the Solar System since 1600 in Italy" , SUBTITLES IN EN, paragraph 2.16.</p>
KPP-3 Artifact for WarpX <> ALPINE: Ascent + VTK-m
<p>This documents a run of WarpX with in situ visualization using Ascent and VTK-m. The simulation was run on Frontier (OLCF).</p> <p>ECP project ALPINE provides GPU capable C++ libraries (Conduit, Ascent, VTK-h) that can use VTK-m for rendering of multi-source, multi-camera scenes. Using Ascent and VTK-m, both a WarpX simulation and a coupled in situ visualization were run on over 500 Frontier GPUs.</p> <p>WarpX documentation: https://warpx.readthedocs.io<br> Ascent documentation: https://ascent.readthedocs.io</p>
Cipher Machine Fialka M-125 (Inv. 2018-659)
<p>This dataset represents the computed tomography image acquisition of a historical cipher machine from the collection of the Deutsches Museum. It is composed of CT reconstructed image stacks in the DICOM (.dcm) format.<br> It can be imported in any free or propietary CT-Viewer that supports the DICOM standard to generated 2D and 3D imaging.<br> If segmentations/ROIs are availabe, they are uploaded in a seperate image stacks and are a subset of the scanned cipher machine.</p> <p>object details:<br> name: Fialka M-125<br> Inv.-No. of the Deutsches Museum: 2018-659</p> <p>file object details:<br> file format: image/dcm<br> pixel spacing unit: mm<br> X pixel spacing: 0.181<br> Y pixel spacing: 0.181<br> Z pixel spacing: 0.181<br> grid size x: 1636<br> grid size y: 1893<br> grid size z: 993<br> color depth: 16Bit</p> <p>ownership & image acquisition:<br> project: <a href="https://digital.deutsches-museum.de/en/projects/3d-cipher">3D-Cipher</a><br> collection: <a href="https://digital.deutsches-museum.de">Deutsches Museum</a><br> IP holder: Deutsches Museum<br> license: <a href="https://creativecommons.org/licenses/by/4.0/deed.en">Creative Commons BY-SA 4.0</a><br> scanning facility: <a href="https://www.iis.fraunhofer.de/en/ff/zfp.html">Fraunhofer Development Center X-ray Technology EZRT/Fraunhofer IIS</a><br> scanning device: High Energy CT XXL-CT<br> Funding attribution: <a href="https://www.bmbf.de/bmbf/en">German Federal Ministry of Education and Research</a><br> acknowledgement: <a href="https://www.cryptomuseum.com">CryptoMuseum</a> (as main source for informations about the cipher machines)</p>
Cipher Machine Hagelin M-209 (Inv. 2017-397)
<p>This dataset represents the computed tomography image acquisition of a historical cipher machine from the collection of the Deutsches Museum. It is composed of CT reconstructed image stacks in the DICOM (.dcm) format.<br> It can be imported in any free or propietary CT-Viewer that supports the DICOM standard to generated 2D and 3D imaging.<br> If segmentations/ROIs are availabe, they are uploaded in a seperate image stacks and are a subset of the scanned cipher machine.</p> <p>object details:<br> name: Hagelin M-209<br> Inv.-No. of the Deutsches Museum: 2017-397</p> <p>file object details:<br> file format: image/dcm<br> pixel spacing unit: mm<br> X pixel spacing: 0.181<br> Y pixel spacing: 0.181<br> Z pixel spacing: 0.181<br> grid size x: 1109<br> grid size y: 807<br> grid size z: 517<br> color depth: 16Bit</p> <p>ownership & image acquisition:<br> project: <a href="https://digital.deutsches-museum.de/en/projects/3d-cipher">3D-Cipher</a><br> collection: <a href="https://digital.deutsches-museum.de">Deutsches Museum</a><br> IP holder: Deutsches Museum<br> license: <a href="https://creativecommons.org/licenses/by/4.0/deed.en">Creative Commons BY-SA 4.0</a><br> scanning facility: <a href="https://www.iis.fraunhofer.de/en/ff/zfp.html">Fraunhofer Development Center X-ray Technology EZRT/Fraunhofer IIS</a><br> scanning device: High Energy CT XXL-CT<br> Funding attribution: <a href="https://www.bmbf.de/bmbf/en">German Federal Ministry of Education and Research</a><br> acknowledgement: <a href="https://www.cryptomuseum.com">CryptoMuseum</a> (as main source for informations about the cipher machines)</p>
GEO-Bench: m-so2sat
<p><strong>GEO-Bench: m-so2sat dataset</strong></p> <p> This dataset has been modified to be included in the <a href="https://zenodo.org/communities/geo-bench/">GEO-Bench dataset</a>. All changes with respect to the original version are documented at <a href="https://github.com/ServiceNow/geo-bench">https://github.com/ServiceNow/geo-bench</a>. </p> <p> The original version of this dataset is due to Zhu et al. (2019) and is available at: <a href="https://doi.org/10.14459/2018mp1483140">https://doi.org/10.14459/2018mp1483140</a>. </p> <p> See the LICENSE file provided alongside this dataset for applicable licensing information. </p>
GEO-Bench: m-eurosat
<p><strong>GEO-Bench: m-eurosat dataset</strong></p> <p> This dataset has been modified to be included in the <a href="https://zenodo.org/communities/geo-bench/">GEO-Bench dataset</a>. All changes with respect to the original version are documented at <a href="https://github.com/ServiceNow/geo-bench">https://github.com/ServiceNow/geo-bench</a>. </p> <p> The original version of this dataset is due to Helber et al. (2019) and is available at: <a href="https://github.com/phelber/eurosat">https://github.com/phelber/eurosat</a>. </p> <p> See the LICENSE file provided alongside this dataset for applicable licensing information. </p>
GEO-Bench: m-pv4ger
<p><strong>GEO-Bench: m-pv4ger dataset</strong></p> <p> This dataset has been modified to be included in the <a href="https://zenodo.org/communities/geo-bench/">GEO-Bench dataset</a>. All changes with respect to the original version are documented at <a href="https://github.com/ServiceNow/geo-bench">https://github.com/ServiceNow/geo-bench</a>. </p> <p> The original version of this dataset is due to Mayer et al. (2022) and is available at: <a href="https://github.com/kdmayer/3D-PV-Locator">https://github.com/kdmayer/3D-PV-Locator</a>. </p> <p> See the LICENSE file provided alongside this dataset for applicable licensing information. </p>
GEO-Bench: m-SA-crop-type
<p><strong>GEO-Bench: m-SA-crop-type dataset</strong></p> <p> This dataset has been modified to be included in the <a href="https://zenodo.org/communities/geo-bench/">GEO-Bench dataset</a>. All changes with respect to the original version are documented at <a href="https://github.com/ServiceNow/geo-bench">https://github.com/ServiceNow/geo-bench</a>. </p> <p> The original version of this dataset is due to the Western Cape Department of Agriculture and the Radiant Earth Foundation (2021) and is available at: <a href="https://mlhub.earth/data/ref_south_africa_crops_competition_v1">https://mlhub.earth/data/ref_south_africa_crops_competition_v1</a>. </p> <p> See the LICENSE file provided alongside this dataset for applicable licensing information. </p>
GEO-Bench: m-NeonTree
<p><strong>GEO-Bench: m-NeonTree dataset</strong></p> <p> This dataset has been modified to be included in the <a href="https://zenodo.org/communities/geo-bench/">GEO-Bench dataset</a>. All changes with respect to the original version are documented at <a href="https://github.com/ServiceNow/geo-bench">https://github.com/ServiceNow/geo-bench</a>. </p> <p> The original version of this dataset is due to Weinstein et al. (2019) and is available at: <a href="https://github.com/weecology/NeonTreeEvaluation">https://github.com/weecology/NeonTreeEvaluation</a>. </p> <p> See the LICENSE file provided alongside this dataset for applicable licensing information. </p>
GEO-Bench: m-pv4ger-seg
<p><strong>GEO-Bench: m-pv4ger-seg dataset</strong></p> <p> This dataset has been modified to be included in the <a href="https://zenodo.org/communities/geo-bench/">GEO-Bench dataset</a>. All changes with respect to the original version are documented at <a href="https://github.com/ServiceNow/geo-bench">https://github.com/ServiceNow/geo-bench</a>. </p> <p> The original version of this dataset is due to Mayer et al. (2022) and is available at: <a href="https://github.com/kdmayer/3D-PV-Locator">https://github.com/kdmayer/3D-PV-Locator</a>. </p> <p> See the LICENSE file provided alongside this dataset for applicable licensing information. </p>
GEO-Bench: m-nz-cattle
<p><strong>GEO-Bench: m-nz-cattle dataset</strong></p> <p> This dataset has been modified to be included in the <a href="https://zenodo.org/communities/geo-bench/">GEO-Bench dataset</a>. All changes with respect to the original version are documented at <a href="https://github.com/ServiceNow/geo-bench">https://github.com/ServiceNow/geo-bench</a>. </p> <p> The original version of this dataset is due to Abuaiadah et al. (2022) and is available at: <a href="https://zenodo.org/record/5908869">https://zenodo.org/record/5908869</a>. </p> <p> See the LICENSE file provided alongside this dataset for applicable licensing information. </p>
GEO-Bench: m-forestnet
<p><strong>GEO-Bench: m-forestnet dataset</strong></p> <p> This dataset has been modified to be included in the <a href="https://zenodo.org/communities/geo-bench/">GEO-Bench dataset</a>. All changes with respect to the original version are documented at <a href="https://github.com/ServiceNow/geo-bench">https://github.com/ServiceNow/geo-bench</a>. </p> <p> The original version of this dataset is due to Irvin et al. (2020) and is available at: <a href="https://stanfordmlgroup.github.io/projects/forestnet/">https://stanfordmlgroup.github.io/projects/forestnet/</a>. </p> <p> See the LICENSE file provided alongside this dataset for applicable licensing information. </p>
GEO-Bench: m-cashew-plantation
<p><strong>GEO-Bench: m-cashew-plantation dataset</strong></p> <p> This dataset has been modified to be included in the <a href="https://zenodo.org/communities/geo-bench/">GEO-Bench dataset</a>. All changes with respect to the original version are documented at <a href="https://github.com/ServiceNow/geo-bench">https://github.com/ServiceNow/geo-bench</a>. </p> <p> The original version of this dataset is due to Jin et al. (2021) and is available at: <a href="https://mlhub.earth/data/ts_cashew_benin">https://mlhub.earth/data/ts_cashew_benin</a>. </p> <p> See the LICENSE file provided alongside this dataset for applicable licensing information. </p>
FIGURE 38 in Systematic position and composition of Merodon nigritarsis and M. avidus groups (Diptera, Syrphidae) with a description of four new hoverfLies species
FIGURE 38 Abdomen of male. Dorsal view, A) Merodon avidus, B) Merodon moenium. Scale: 1 mm.
FIGURE 39 in Systematic position and composition of Merodon nigritarsis and M. avidus groups (Diptera, Syrphidae) with a description of four new hoverfLies species
FIGURE 39 Abdomen of male. Lateral view, A) Merodon avidus, B) Merodon moenium. Scale: 1 mm.
FIGURE 21 in Systematic position and composition of Merodon nigritarsis and M. avidus groups (Diptera, Syrphidae) with a description of four new hoverfLies species
FIGURE 21 Abdomen of Merodon longisetus sp. n. Dorsal View, A) male, B) female. Scale: 1 Mm.
FIGURE 17 in Systematic position and composition of Merodon nigritarsis and M. avidus groups (Diptera, Syrphidae) with a description of four new hoverfLies species
FIGURE 17 Species richness map of Merodon avidus species group.
FIGURE 1 in Systematic position and composition of Merodon nigritarsis and M. avidus groups (Diptera, Syrphidae) with a description of four new hoverfLies species
FIGURE 1 Geographic distribution of newly described species.
FIGURE 16 in Systematic position and composition of Merodon nigritarsis and M. avidus groups (Diptera, Syrphidae) with a description of four new hoverfLies species
FIGURE 16 Species richness map of Merodon nigritarsis species group.
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.