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Fig. 15 in Filling the Corallian gap: New information on Late Jurassic marine reptile faunas from England
Fig. 15. Jurassic Sub-Boreal Seaway marine reptile species count.
Experimental raw data sets associated with certified reference material BAM-P115 (titanium dioxide) for comparison of nitrogen and argon sorption, available in the universal adsorption information format (AIF)
<p>These data sets serve as models for calculating the specific surface area (BET method) using gas sorption in accordance with ISO 9277.<br>The present measurements were carried out with nitrogen at 77 Kelvin and argon at 87 Kelvin.<br>It is recommended to use the following requirements for the molecular cross-sectional area:<br>Nitrogen: 0.1620 nm²<br>Argon: 0.1420 nm²</p> <p>Expected specific surface area for nitrogen (BET): 140 to 154 m²/g<br>Expected specific surface area for argon (BET): 129 to 135 m²/g</p> <p>Titanium dioxides certified with nitrogen sorption and additionally measured with argon for research purposes were used as sample material.<br>The resulting data sets are intended to serve as comparative data for own measurements and show the differences in sorption behaviour and evaluations between nitrogen and argon.<br>These data are stored in the universal AIF format (adsorption information format), which allows flexible use of the data.</p>
Experimental raw data sets associated with certified reference material BAM-P114 (titanium dioxide) for comparison of nitrogen and argon sorption, available in the universal adsorption information format (AIF)
<p>These data sets serve as models for calculating the specific surface area (BET method) using gas sorption in accordance with ISO 9277.<br>The present measurements were carried out with nitrogen at 77 Kelvin and argon at 87 Kelvin.<br>It is recommended to use the following requirements for the molecular cross-sectional area:<br>Nitrogen: 0.1620 nm²<br>Argon: 0.1420 nm²</p> <p>Expected specific surface area for nitrogen (BET): 24 to 25 m²/g<br>Expected specific surface area for argon (BET): 20 m²/g</p> <p>Titanium dioxides certified with nitrogen sorption and additionally measured with argon for research purposes were used as sample material.<br>The resulting data sets are intended to serve as comparative data for own measurements and show the differences in sorption behaviour and evaluations between nitrogen and argon.<br>These data are stored in the universal AIF format (adsorption information format), which allows flexible use of the data.</p>
Fig. 2 in New information on the pterosaur Tupandactylus imperator, with comments on the relationships of Tapejaridae
Fig. 2. Location map of the Mina Triunfo quarry, Ceará Province, northeastern Brazil.
TRAM-804 Integrated Taxonomic Information System (ITIS) Taxonomic Hierarchy: ITIS for DH from 01-Dec-2020 downloads
Authoritative taxonomic information on plants, animals, fungi, and microbes of North America and the world. ITIS ia a partnership of U.S., Canadian, and Mexican agencies (ITIS-North America); other organizations; and taxonomic specialists. ITIS is also a partner of Species 2000 and the Global Biodiversity Information Facility (GBIF).<p></p>
TRAM-804 Integrated Taxonomic Information System (ITIS) Taxonomic Hierarchy: ITIS hierarchy March 31 2020
Authoritative taxonomic information on plants, animals, fungi, and microbes of North America and the world. ITIS ia a partnership of U.S., Canadian, and Mexican agencies (ITIS-North America); other organizations; and taxonomic specialists. ITIS is also a partner of Species 2000 and the Global Biodiversity Information Facility (GBIF).<p></p>from Aug 28 2019 downloads, with vernacular names removed
TRAM-804 Integrated Taxonomic Information System (ITIS) Taxonomic Hierarchy: ITIS hierarchy from 28-Aug-2019 downloads
Authoritative taxonomic information on plants, animals, fungi, and microbes of North America and the world. ITIS ia a partnership of U.S., Canadian, and Mexican agencies (ITIS-North America); other organizations; and taxonomic specialists. ITIS is also a partner of Species 2000 and the Global Biodiversity Information Facility (GBIF).<p></p><p></p>https://eol-jira.bibalex.org/browse/DATA-1824
TRAM-804 Integrated Taxonomic Information System (ITIS) Taxonomic Hierarchy: ITIS hierarchy temp fix
Authoritative taxonomic information on plants, animals, fungi, and microbes of North America and the world. ITIS ia a partnership of U.S., Canadian, and Mexican agencies (ITIS-North America); other organizations; and taxonomic specialists. ITIS is also a partner of Species 2000 and the Global Biodiversity Information Facility (GBIF).<p></p>ITIS hierarchy from 25-Feb-2019 downloads, with kingdom column removed.
TRAM-804 Integrated Taxonomic Information System (ITIS) Taxonomic Hierarchy: ITIS hierarchy from 25-Feb-2019 downloads
Authoritative taxonomic information on plants, animals, fungi, and microbes of North America and the world. ITIS ia a partnership of U.S., Canadian, and Mexican agencies (ITIS-North America); other organizations; and taxonomic specialists. ITIS is also a partner of Species 2000 and the Global Biodiversity Information Facility (GBIF).<p></p>
TRAM-804 Integrated Taxonomic Information System (ITIS) Taxonomic Hierarchy: ITIS hierarchy from 28-Jul-2020 downloads
Authoritative taxonomic information on plants, animals, fungi, and microbes of North America and the world. ITIS ia a partnership of U.S., Canadian, and Mexican agencies (ITIS-North America); other organizations; and taxonomic specialists. ITIS is also a partner of Species 2000 and the Global Biodiversity Information Facility (GBIF).<p></p><p></p>https://eol-jira.bibalex.org/browse/TRAM-987
TRAM-804 Integrated Taxonomic Information System (ITIS) Taxonomic Hierarchy: ITIS hierarchy from 31-Mar-2019 downloads
Authoritative taxonomic information on plants, animals, fungi, and microbes of North America and the world. ITIS ia a partnership of U.S., Canadian, and Mexican agencies (ITIS-North America); other organizations; and taxonomic specialists. ITIS is also a partner of Species 2000 and the Global Biodiversity Information Facility (GBIF).<p></p>
Fire Effects Information System: FEIS Invasiveness (structured data) (750) in DwCA
The Fire Effects Information System (FEIS) provides up-to-date information about fire effects on plants, lichens, and animals. It was developed at the United States Department of Agriculture, Forest Service, Rocky Mountain Research Station, Fire Sciences Laboratory in Missoula, Montana. The FEIS database contains literature reviews, taken from current English-language literature of about 900 plant species, 7 lichen species, about 100 wildlife species, 17 Research Project Summaries, and 16 Kuchler plant communities of North America. The emphasis of each review and summary is fire and how it affects species. Background information on taxonomy, distribution, basic biology, and ecology of each species is also included. Reviews are thoroughly documented, and each contains a complete bibliography. Managers from several land management agencies (United States Department of Agriculture, Forest Service, and United States Department of Interior, Bureau of Indian Affairs, Bureau of Land Management, Fish and Wildlife Service, and National Park Service) choose the species included in the database. Those agencies funded the original work and continue to support maintenance and updating of the database. <p></p>https://www.feis-crs.org/feis/<p></p>The Fire Effects Information System (FEIS) provides up-to-date information about fire effects on plants, lichens, and animals. It was developed at the United States Department of Agriculture, Forest Service, Rocky Mountain Research Station, Fire Sciences Laboratory in Missoula, Montana. The FEIS database contains literature reviews, taken from current English-language literature of about 900 plant species, 7 lichen species, about 100 wildlife species, 17 Research Project Summaries, and 16 Kuchler plant communities of North America. The emphasis of each review and summary is fire and how it affects species. Background information on taxonomy, distribution, basic biology, and ecology of each species is also included. Reviews are thoroughly documented, and each contains a complete bibliography. Managers from several land management agencies (United States Department of Agriculture, Forest Service, and United States Department of Interior, Bureau of Indian Affairs, Bureau of Land Management, Fish and Wildlife Service, and National Park Service) choose the species included in the database. Those agencies funded the original work and continue to support maintenance and updating of the database. <p></p>https://www.feis-crs.org/feis/ FEIS data on EOL include invasiveness status.
Dataset for the study: Closed-boundary reflections of shallow water waves as an open challenge for physics-informed neural networks
<p>This dataset supports a study on using Physics-Informed Neural Networks (PINNs) to solve the 1D-Shallow Water Equations. It focuses on closed boundary reflection test cases, which are crucial for accurately modeling geophysical fluid dynamics in coastal regions, particularly for storm surge and flood modeling. Properly representing reflections is also essential for accurately modeling related phenomena, such as Kelvin waves and amphidromic systems, which influence coastal water levels during such events. The individual sub-datasets in NetCDF format provide the results used for one figure each. The data arrays within the datasets are named with reference to the figures for ease of comparison. <br><br>Cite as: Demir, K.T.; Logemann, K.; Greenberg, D.S. Closed-Boundary Reflections of Shallow Water Waves as an Open Challenge for Physics-Informed Neural Networks. <em>Mathematics</em> 2024, <em>12</em>, 3315. <a href="https://doi.org/10.3390/math12213315">https://doi.org/10.3390/math12213315</a></p>
Data and Scripts for the Article "Structural Descriptors and Information Extraction from X-ray Emission Spectra: Aqueous Sulfuric Acid"
<p>Data and scripts for the article titled "Structural Descriptors and Information Extraction from X-ray Emission Spectra: Aqueous Sulfuric Acid".</p> <p>For further details on the contents, see the "readme.md"-file.</p> <p>Article available at <a href="https://doi.org/10.1039/D4CP02454K">10.1039/D4CP02454K</a>.</p>
Additional information for Acidification from microbial oxidation of N, S, Fe and Mn as potential key mechanism for sprayed concrete deterioration in a subsea road tunnel
<p>Here we include additional files for Karacic <em>et al</em>. <strong>Acidification from microbial oxidation of N, S, Fe and Mn as potential key mechanism for sprayed concrete deterioration in a subsea road tunnel</strong></p> <p>Metagenome reads and MAGs are avaliable in the NCBI BioProject PRJNA755678</p> <p>The following files are included here</p> <ul> <li><strong>MAGs_summary_Oslofjord.tsv</strong>: Information about the Oslofjord MAGs (GTDB R207 taxonomy, relative abundance, Completness, Contamination, NCBI accessions)</li> <li><strong>gtdbtk.ar53.summary.</strong> Output from GTDB-Tk v2.1.0 with GTDB R207_v2. Archaeal MAGs</li> <li><strong>gtdbtk.bac120.summary.tsv</strong>. Output from GTDB-Tk v2.1.0 with GTDB R207_v2. Bacterial MAGs</li> <li><strong>FeGenie-geneSummary.csv</strong>: Output from FeGenie</li> <li><strong>Annotations_1.tsv</strong> : Output from DRAM (215 MAGs)</li> <li><strong>Annotations_2.tsv</strong>: Output from DRAM (186 MAGs)</li> <li><strong>OFTMs_DRAM_genes.DiSCo.filtered.txt</strong>. Output from DiSCo</li> <li><strong>code_R.zip</strong>: R-code and additional files used for making MAGs figures</li> </ul> <p>This is version 2 of the dataset and it replaces version 1 (https://doi.org/10.5281/zenodo.5292093) </p>
Pre-service and In-service Language Teachers' Perspectives on Trauma-Informed Language Teaching
<p>This dataset consists of survey results of teacher candidates and in-service teachers on their perspectives on trauma-informed education. The data was obtained in Ukraine in 2023. The survey was adapted from Mikolajczyk, E. (2018). School staff perceptions of a trauma-informed program on improving knowledge, competence, and school climate. </p>
InZePro Cluster InForm Referencedataset
<p>Referencedataset of the BMBF Cluster InZePro of the project InForm - <strong>In</strong>telligent<strong> Form</strong>ation system<strong> </strong></p> <p>The dataset contains data of the formation process of different cells types (coin cell, pat-cell, pouch cell, prismatic cell PHEV1).</p> <p>On a subset a special End-of-Line test directly after formation.</p> <p>Further details are provided in the excel file.</p> <p>Raw data is compressed in the zip-File.</p> <p>The hdf5-file combines all cell data and can be opened i.e:<br> import hdfdict</p> <p>hdf5name = '' ReferenceDatasetInForm.h5 "</p> <p>hdf5dict = dict(hdfdict.load(hdf5name, mode='r+',lazy=False))</p>
Figure 4 in First information on biology of the needlefish Tylosurus acus imperialis (Belonidae) off the Tunisian coast (Central Mediterranean)
Figure 4. - Length at first maturity of females of T. a. imperialis.
Figure 1 in First information on biology of the needlefish Tylosurus acus imperialis (Belonidae) off the Tunisian coast (Central Mediterranean)
Figure 1. - Length distribution of needlefishes T. a. imperialis from Tunisian coast.
Figure 6 in First information on biology of the needlefish Tylosurus acus imperialis (Belonidae) off the Tunisian coast (Central Mediterranean)
Figure 6. - Otolith of Tylosurus acus imperialis.
ScienceDex guides
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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.