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Data from: Metrics for quantifying the contributions of different threats to Red Lists
<p>The dataset contains data from four Norwegian Red Lists. Data included are the Red List Categories, reasons for change, and threats. These data were used to evaluate metrics for quantifying the contributions of different threats to Red Lists, described by <a href="https://doi.org/10.1111/cobi.14105">Sandvik & Pedersen (2023)</a>.</p> <p>The dataset contains six files:</p> <ol> <li>species.csv (semicolon-delimited plain-text file with Red Lists for species)</li> <li>Species.pdf (explanations of species.csv)</li> <li>Species.xlsx (microsoft excel spreadsheet workbook with Red Lists for species)</li> <li>ecosyst.csv (semicolon-delimited plain-text file with the Red List for ecosystems)</li> <li>Ecosyst.pdf (explanations of ecosyst.csv)</li> <li>Ecosyst.xlsx (microsoft excel spreadsheet workbook with the Red List for ecosystems)</li> </ol> <p>The excel workbooks contain the same information as the respective csv and pdf files combined.</p> <p>Columns, abbreviations etc. are explained in the excel and pdf files.</p> <p>Data were derived from the following sources, all published by the <a href="http://www.biodiversity.no">Norwegian Biodiversity Information Centre</a>:</p> <ul> <li> <a href="http://www.artsportalen.artsdatabanken.no/">2010 Norwegian Red List for species</a></li> <li> <a href="https://www.artsdatabanken.no/Rodlista2015">2015 Norwegian Red List for species</a></li> <li> <a href="https://artsdatabanken.no/rodlistefornaturtyper">2018 Norwegian Red List for ecosystems and habitat types</a></li> <li> <a href="https://artsdatabanken.no/lister/rodlisteforarter/2021">2021 Norwegian Red List for species</a></li> </ul> <p><strong>R</strong> code to analyse the dataset and reproduce the results of the paper is available on Zenodo via <a href="https://doi.org/10.5281/zenodo.7843806">doi:10.5281/zenodo.7843806</a>.</p>
Highly Accurate Potential Energy Surface and Dipole Moment Surface for Nitrous Oxide and Ames-296K Infrared Line Lists for 14N216O and Minor Isotopologues
<p>First generation data product and IR line lists for Nitrous Oxide (N<sub>2</sub>O), including an isotopologue-independent <em>ab initio</em> PES of Nitrous Oxide refined with selected HITRAN energy levels below 7000 cm<sup>-1</sup> and experimental <em>G</em><sub>V</sub> at higher energies, an <em>ab initio </em>DMS fitted with CCSD(T)/aug-cc-pV(T,Q,5)Z dipoles computed up to 20,000 cm<sup>-1</sup> above potential minimum and extrapolated to one-electron basis set limit, room temperature IR line lists for 12 N<sub>2</sub>O isotopologues of <sup>14/15</sup>N and <sup>16/17/18</sup>O, and a combination "natural" list with terrestrial abundances. This project is funded by NASA Grant 18-APRA18-0013 through NASA/SETI Institute Co-operative Agreement 80NSSC20K1358. See https://huang.seti.org/N2O/n2o.html for data format and abundance information.</p> <ol> <li>Ames-0 and Ames-1 PES subroutine & coefficient files, and PES refinement related files including reference energy level list and refinement output.</li> <li><em>J</em>=0-150 energy level lists of <sup>14</sup>N<sub>2</sub><sup>16</sup>O and 11 minor isotopologues, computed on the Ames-1 PES. The .zip file contains 12 compressed .tgz files.</li> <li> Ames-1 DMS subroutine & coefficient files, and <em>ab initio</em> data;</li> <li> Ames-296K IR line lists for <sup>14</sup>N<sub>2</sub><sup>16</sup>O and 11 minor isotopologues, each with 100% abundance. Computed using Ames-1 DMS and rovibrational wavefunctions for those energy levels acquired on Ames-1 PES; 12 .tgz files combined into one .zip file</li> <li> A "natural" Ames-296K IR line list for N<sub>2</sub>O, including transitions from all 12 isotopologues with their 296K intensities scaled by terrestrial abundances. Computed on the Ames-1 PES and DMS. </li> <li>ORIGIN project file for related analysis and figures. Use Origin Viewer to open on PC and MAC, <a href="https://www.originlab.com/viewer/dl.aspx">https://www.originlab.com/viewer/dl.aspx</a> </li> </ol> <p>Line List Data Format: (N<sub>2</sub>O is the 4<sup>th</sup> molecules in HITRAN, we use 40+iso#, e.g., 41 - 446; 42 - 456; 43 - 546; 44 - 448; 45 - 447; ...)</p> <pre>iso wavenumber S(Ames-2021) A21(Ames-2021) E"(Ames-1) vtet_qn' vtet_qn" JPS' #root' JPS" #root" J' J" wang_symmetry 43 2540.050758 2.696686E-31 2.829145E+00 4329.863425 0 0 3 1 0 0 50 2 2 109 49 1 2 24 50 49 e e </pre> <p><strong>Table 1</strong>. Abundances and number of IR lines of 12 N<sub>2</sub>O isotopologues in the Ames-296K <em>natural</em> IR line list for N<sub>2</sub>O up to 15,000 cm<sup>-1</sup> and intensity down to 10<sup>-31</sup> cm/molecule. Their wavenumber range <em>f</em><sub>max</sub> (in cm<sup>-1</sup>), intensity max <em>S</em><sub>296K</sub><sup>max</sup>, and intensity sum are also included for each isotopologue. Intensities are scaled by corresponding abundances, in cm<sup>-1</sup>/molecule.cm<sup>-2</sup>.</p> <table align="center"> <tbody> <tr> <td> <p>#</p> </td> <td> <p>Iso</p> </td> <td> <p>Abundance</p> </td> <td> <p><em>#lines</em></p> </td> <td> <p><em>f</em><sub>max</sub> (cm<sup>-1</sup>)</p> </td> <td> <p><em>S</em><sub>296K</sub><sup>max</sup></p> </td> <td> <p>Intensity Sum</p> </td> </tr> <tr> <td> <p>1</p> </td> <td> <p>446</p> </td> <td> <p>0.990333</p> </td> <td> <p>1387178</p> </td> <td> <p>15000</p> </td> <td> <p>1.0217E-18</p> </td> <td> <p>7.2848E-17</p> </td> </tr> <tr> <td> <p>2</p> </td> <td> <p>456</p> </td> <td> <p>3.64093E-3</p> </td> <td> <p>375607</p> </td> <td> <p>14896</p> </td> <td> <p>3.5696E-21</p> </td> <td> <p>2.5816E-19</p> </td> </tr> <tr> <td> <p>3</p> </td> <td> <p>546</p> </td> <td> <p>3.64093E-3</p> </td> <td> <p>411253</p> </td> <td> <p>14970</p> </td> <td> <p>3.7098E-21</p> </td> <td> <p>2.6639E-19</p> </td> </tr> <tr> <td> <p>4</p> </td> <td> <p>448</p> </td> <td> <p>1.98582E-3</p> </td> <td> <p>377008</p> </td> <td> <p>14875</p> </td> <td> <p>1.8990E-21</p> </td> <td> <p>1.4206E-19</p> </td> </tr> <tr> <td> <p>5</p> </td> <td> <p>447</p> </td> <td> <p>3.69280E-4</p> </td> <td> <p>238697</p> </td> <td> <p>13964</p> </td> <td> <p>3.6668E-22</p> </td> <td> <p>2.6767E-20</p> </td> </tr> <tr> <td> <p>6</p> </td> <td> <p>556</p> </td> <td> <p>1.33858E-5</p> </td> <td> <p>93754</p> </td> <td> <p>11640</p> </td> <td> <p>1.2867E-23</p> </td> <td> <p>9.3609E-22</p> </td> </tr> <tr> <td> <p>7</p> </td> <td> <p>548<sup>*</sup></p> </td> <td> <p>7.30080E-6</p> </td> <td> <p>93609</p> </td> <td> <p>10681</p> </td> <td> <p>6.8881E-24</p> </td> <td> <p>5.1939E-22</p> </td> </tr> <tr> <td> <p>8</p> </td> <td> <p>458<sup>*</sup></p> </td> <td> <p>7.30080E-6</p> </td> <td> <p>86397</p> </td> <td> <p>10578</p> </td> <td> <p>6.5998E-24</p> </td> <td> <p>4.9864E-22</p> </td> </tr> <tr> <td> <p>9</p> </td> <td> <p>547<sup>*</sup></p> </td> <td> <p>1.35765E-6</p> </td> <td> <p>55324</p> </td> <td> <p>9065</p> </td> <td> <p>1.3299E-24</p> </td> <td> <p>9.7874E-23</p> </td> </tr> <tr> <td> <p>10</p> </td> <td> <p>457<sup>*</sup></p> </td> <td> <p>1.35765E-6</p> </td> <td> <p>50539</p> </td> <td> <p>8804</p> </td> <td> <p>1.2718E-24</p> </td> <td> <p>9.4017E-23</p> </td> </tr> <tr> <td> <p>11</p> </td> <td> <p>558<sup>*</sup></p> </td> <td> <p>2.68412E-8</p> </td> <td> <p>15761</p> </td> <td> <p>6373</p> </td> <td> <p>2.3969E-26</p> </td> <td> <p>1.8219E-24</p> </td> </tr> <tr> <td> <p>12</p> </td> <td> <p>557<sup>*</sup></p> </td> <td> <p>4.99134E-9</p> </td> <td> <p>8498</p> </td> <td> <p>4964</p> </td> <td> <p>4.6171E-27</p> </td> <td> <p>3.4327E-25</p> </td> </tr> </tbody> </table>
Candidate lists from bachelor thesis"Finding stars that are likely to be from accreted satellite galaxies"
<p>Candidate stars for the moving groups GSE, ED-2, MMH-1 and the Helmi streams, for more details see "Finding stars that are likely to be from accreted satellite galaxies" (lup.lub.lu.se/student-papers/).</p>
Northward IMF substorm lists
<p>The files contain the substorm lists after satisfying the applied criteria described in a publication with title "Substorm Impact on Dayside Ionospheric Currents" .</p> <p>The information of the lists and the how to download them is in the readme file.</p>
Fig. 1 in Vingt-et-un ajouts et une suppression à la Liste des Lépidoptères du Canton de Genève B L
Fig. 1. Monopis weaverella (Scott, 1858), Genève, Jussy. Envergure: 15 mm.
Fig. 3 in Nouveaux ajouts à la liste des Lépidoptères du canton de Genève
Fig. 3. Choreutis nemorana (Hübner, 1799), Genève, 19.7.2018. (Photo Jean-Luc Ferrière)
Fig. 7 in Nouveaux ajouts à la liste des Lépidoptères du canton de Genève
Fig. 7. Idaea degeneraria (Hübner, 1799), Avusy, 3.8.2018. (Photo Patrick Albrecht)
Fig. 11 in Nouveaux ajouts à la liste des Lépidoptères du canton de Genève
Fig. 11. Polyphaenis sericata (Esper, 1787), Gy, 20.6.2017. (Bastien Guibert)
Fig. 2 in Nouveaux ajouts à la liste des Lépidoptères du canton de Genève
Fig. 2. Anarsia innoxiella Gregersen & Karsholt, 2017, Chancy, 21.6.2014. (Photo Bernard Landry
Fig. 6 in Nouveaux ajouts à la liste des Lépidoptères du canton de Genève
Fig. 6. Cyclophora punctaria (Linnaeus, 1758), Meinier, 23.6.2017. (Photo Bastien Guibert)
Fig. 12 in Nouveaux ajouts à la liste des Lépidoptères du canton de Genève
Fig. 12. Bena bicolorana (Fuessly, 1775), Meinier, 27.6.2017. (Photo Bastien Guibert)
Fig. 10 in Nouveaux ajouts à la liste des Lépidoptères du canton de Genève
Fig. 10. Chrysodeixis chalcites (Esper, 1789), Genève, 24.10.2017. (Photo Tommy Andriollo)
Fig. 5 in Nouveaux ajouts à la liste des Lépidoptères du canton de Genève
Fig. 5. Hippotion celerio (Linnaeus, 1758), Genève, 29.10.2016. (Photo Nicole Petitpierre
Fig. 9 in Nouveaux ajouts à la liste des Lépidoptères du canton de Genève
Fig. 9. Agrochola lunosa (Haworth, 1809), Gy, 8.10.2018. (Photo Bastien Guibert)
Fig. 8 in Nouveaux ajouts à la liste des Lépidoptères du canton de Genève
Fig. 8. Polypogon plumigeralis (Hübner, 1825), Gy, 21.9.2015. (Photo Bastien Guibert)
Term lists for CoronaCentral
<p>Term lists used by the CoronaCentral system containing names, synonyms and identifiers of various entities including genes, drugs, etc.</p> <p>More information is available through the GitHub page: https://github.com/jakelever/corona-ml</p>
List of geomagnetic storms for the period September 2012 - July, 2019
<p>The following dataset includes the epoch times and corresponding Sym-H minima for the 144 geomagnetic storms identified between September 2012 and July 2019. </p>
Archive of ASAPbio's list of preprint servers: policies and practices across platforms
<p>These are the raw data behind ASAPbio's list of of preprint servers, found at https://asapbio.org/preprint-servers</p> <p>An earlier version of this dataset was reported in https://zenodo.org/record/3700874#.ZD2SC3bMIQ8</p>
The Metadata of "Are the Lists of Questionable Journals Reasonable: A Case Study of Early Warning Journal List"
<p>The metadata of the article (<em>Are the Lists of Questionable Journals Reasonable: A Case Study of Early Warning Journal List</em>).</p>
List of the French Revolutionary Deists Who Wrote a Prayer or Hymn to God
<p>A List of the French Revolutionary Deists Who Wrote a Prayer or Hymn to God. It includes bibliographical data.</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.