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12,346 results for “derivatives”
Fig. 3 in New material of a derived ornithomimosaur from the Upper Cretaceous Nemegt Formation of Mongolia
Fig. 3. Manual bones of the ornithomimid ZPAL MgD−I/65 from the Upper Cretaceous Nemegt Formation, Mongolia shown in multiple views. A. Ph III−3 in dorsal (A1), lateral (A2), ventral (A3), proximal (A4), and distal (A5) views. B. Ph II−2 in dorsal (B1), lateral (B2), ventral (B3), and distal (B4) views. C. Ph II−1 in dorsal (C1), lateral (C2), ventral (C3), and proximal (C4) views. D. Ph I−1 in dorsal (D1), lateral (D2), ventral (D3), and proximal (D4) views. E. Mtc II in medial (E1), dorsal (E2), lateral (E3), ventral (E4), distal (E5), and proximal (E6) views. F. Mtc I in dorsal (F1), lateral (F2), ventral (F3), and proximal (F4) views.
Fig. 2. Vertebral centra available for the ornithomimid ZPAL MgD−I in New material of a derived ornithomimosaur from the Upper Cretaceous Nemegt Formation of Mongolia
Fig. 2. Vertebral centra available for the ornithomimid ZPAL MgD−I/65 from the Upper Cretaceous Nemegt Formation, Mongolia in left lateral view. Abbreviations: C, cervical; D, dorsal; S, sacral; Ca, caudal.
Fig. 1 in New material of a derived ornithomimosaur from the Upper Cretaceous Nemegt Formation of Mongolia
Fig. 1. Geographical location of the Tsagan Khushu (referred material locality) and Bugin Tsav (Anserimimus planinychus locality) sites in the Gobi Desert, Mongolia (Upper Cretaceous).
Accelerometer-Derived Atmospheric Density from the CHAMP and GRACE Satellites
<p>Archive of the thermospheric density dataset (including estimated uncertainties) for CHAMP and GRACE satellite accelerometer missions, first released in February of 2011, with an extension of GRACE density data in 2012. </p>
Satellite-derived trapped lee wave activity over the UK and Ireland in 2023
<p>A list of trapped lee wave activity over the UK and Ireland in 2023 as judged by eye from SEVIRI HRV satellite imagery.</p>
D-PLACE dataset derived from Binford 2001 'Constructing Frames of Reference'
<p>Cite the source of the dataset as:</p> <blockquote> <p>Binford, L. 2001. Constructing Frames of Reference: An Analytical Method for Archaeological Theory Building Using Hunter-gatherer and Environmental Data Sets. University of California Press</p> </blockquote>
D-PLACE dataset derived from Murdock et al. 1999 'Ethnographic Atlas'
<p>Cite the source of the dataset as:</p> <blockquote> <p>Murdock, G. P., R. Textor, H. Barry, III, D. R. White, J. P. Gray, and W. T. Divale. 1999. Ethnographic Atlas. World Cultures 10:24-136 (codebook)</p> </blockquote>
D-PLACE dataset derived from Lima-Ribeiro et al. 2015 'ecoClimate'
<p>Cite the source of the dataset as:</p> <blockquote> <p>Lima-Ribeiro MS; Varela S; González-Hernández J; Oliveira G; Diniz-Filho JAF; Terribile LC. 2015. ecoClimate: a database of climate data from multiple models for past, present, and future for Macroecologists and Biogeographers Biodiversity Informatics 10, 1-21. DOI: 10.17161/bi.v10i0.4955 Lima-Ribeiro MS; Varela S; González-Hernández J; Oliveira G; Diniz-Filho JAF; Peterson AT; Terribile LC. The ecoClimate Database, http://ecoclimate.org</p> </blockquote>
D-PLACE dataset derived from 'Global Multi-resolution Terrain Elevation Data 2010'
<p>Cite the source of the dataset as:</p> <blockquote> <p>Global Multi-resolution Terrain Elevation Data courtesy of the U.S. Geological Survey (Downloaded 14 Jul 2014)</p> </blockquote>
D-PLACE dataset derived from Kreft and Jetz 2007 'Global patterns and determinants of vascular plant diversity'
<p>Cite the source of the dataset as:</p> <blockquote> <p>Kreft H, Jetz W. Global patterns and determinants of vascular plant diversity. Proc Natl Acad Sci. 2007;104: 5925–5930.</p> </blockquote>
D-PLACE dataset derived from Olson et al. 2001 'Terrestrial Ecoregions of the World'
<p>Cite the source of the dataset as:</p> <blockquote> <p>Olson, D. M., Dinerstein, E., Wikramanayake, E. D., Burgess, N. D., Powell, G. V. N., Underwood, E. C., D'Amico, J. A., Itoua, I., Strand, H. E., Morrison, J. C., Loucks, C. J., Allnutt, T. F., Ricketts, T. H., Kura, Y., Lamoreux, J. F., Wettengel, W. W., Hedao, P., Kassem, K. R. 2001. Terrestrial ecoregions of the world: a new map of life on Earth. Bioscience 51(11):933-938.</p> </blockquote>
D-PLACE dataset derived from Murdock and White 1969 'Standard Cross-Cultural Sample'
<p>Cite the source of the dataset as:</p> <blockquote> <p>Murdock GP & White DR. 1969. Standard Cross-Cultural Sample. Ethnology. 9:329–369.</p> </blockquote>
D-PLACE dataset derived from Jorgensen 1980 'Western Indians'
<p>Cite the source of the dataset as:</p> <blockquote> <p>Jorgensen, JG. 1980. Western Indians: Comparative Environments, Languages, and Cultures of 172 Western American Indian Tribes. San Francisco: W.H. Freeman and Company.</p> </blockquote>
D-PLACE dataset derived from Robert L. Carneiro's Dataset (6th edition)
<p>Cite the D-PLACE dataset as</p> <p>DOI</p>
Lab_34_SOP - Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards
<h1>Lab_34_SOP - Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards - mzML files</h1><p>This dataset is part of the <a href="https://doi.org/10.5281/zenodo.12632989" target="_blank">ILS Ceramide Ring Trial</a>. The suffix 'SOP' indicates that the results were obtained using the recommended and standard operating procedure protocol to prepare and measure all samples, while the suffix 'OTHER' indicates that the corresponding lab prepared and measured the samples according to their own internal protocol. Please check the corresponding mapping file 'ILS-Ceramide-Ring-Trial-Datasets.csv' in the ILS Ceramide Ring Trial record for a mapping of the originally submitted lab reports and the final lab number as reported in the manuscript.</p><p>All reports together with the code for analysis and visualization, reproducing the figures in the manuscript, are available under the following doi: <a href="https://zenodo.org/doi/10.5281/zenodo.10081970" target="_blank">https://zenodo.org/doi/10.5281/zenodo.10081970</a>. This links to releases of the following GitHub repository: <a href="https://github.com/lifs-tools/ils-ceramide-ring-trial" target="_blank">https://github.com/lifs-tools/ils-ceramide-ring-trial</a>. The archived version of the lab reports, workflow source code and manuscript visualizations are also available <a href="https://zenodo.org/doi/10.5281/zenodo.10081970" target="_blank">here</a>.</p><p>Please note that most datasets have been acquired in MRM mode, such that the msconvert conversion to mzML has stored the MRM data in the chromatogram part of the mzML files.</p> <p>The msconvert Docker container (Proteowizard release: 3.0.24172 (63d00b1), build date Jun 202 2024 20:01:14) was used with the native vendor libraries / peak picking for conversion, using default arguments. m/z values were encoded with 64 bit (default), while intensity values were encoded with 32 bit (default). All binary data was zlib-compressed.</p>
US Emission Facilities Land Cover Area Derived At Parcel Scale
<p>This dataset includes US industrial facilities from the Environmental Protection Agency's (EPA) 2017 National Emissions Inventory (NEI), combined with location data from the EPA's Facility Registry Service and land cover classes from the United States Geological Survey's (USGS) National Land Cover Data (NLCD). These land cover classes are measured in square meters at the parcel scale. The matching of facility parcels was done using a tiered approach to enhance spatial accuracy. The parcel data was provided by Homeland Infrastructure Foundation-Level Data (HIFLD) US Parcel Data. Because this parcel data is proprietary, the parcel geometries and fields were removed from the final dataset. However, centroid latitude and longitude coordinates were derived to allow spatial joins with publicly available parcel data.</p> <p>This dataset is organized by unique EPA NEI facilities data fields. Unique facility observations are identified by the field <code>cleaned_name</code> which represents the concatenated address and/or place name for the facility (dependent on data availability). Each row represents a facility matched to parcel scale land cover information and are associated with the unique identifier <code>MatchID</code>. NLCD land cover fields are described as the total area in meters squared of each facility parcel. Please see data README file for more information on individual data fields. </p> <h3>Known Limitations</h3> <ul> <li>Parcels are matched to the facility and in some cases multiple facilities are matched to the same parcel. Data users may want to omit these multiple match parcels and there is a data flag called <code>multi_match</code> that enables this.</li> <li>Approximately 15% of the dataset includes facilities where the latitude/longitude coordinates are over 200 meters from the matched parcel. Spot checking these instances revealed that, in many cases, the facility latitude and longitude locations did not accurately match the street address, city, or postal zip code associated with the facility. These instances are flagged as a potential source of inaccuracy and can be removed at the users discretion.</li> </ul> <p> </p>
CLDF dataset derived from Auderset's "Interrogatives as relativization markers in Indo-European" from 2020
<p>Cite the source of the dataset as:</p> ...
MAR2PROTECT Biomass-derived Carbons for the Separation of Fluorinated Gases DATASET
<p>Fluorinated gases (F-gases) are widely used in the refrigeration industry and air conditioning equipment, being used as substitutes for ozone-depleting substances, since these compounds do not damage the atmospheric ozone layer, are non-toxic, and are not flammable. However, F-gases have high global warming potential, up to 23 000 times greater than carbon dioxide, and their atmospheric lifetime is up to 50 000 years. Then, small atmospheric concentrations of these gases can have large effects on global temperatures and on climate change. Hence, different legislations aim to combat their effect on the atmosphere, such as the EU regulation (No 517/2014) that targets to cut the emissions of these gases by 2/3 by 2030, compared to the levels of 2014. The aim of this work is to design, test, and validate climate-friendly processes, based on different Key Enabling Technologies (KETs), to separate and recover F-gases. These KETs are based on more efficient treatment systems, designed according to the principles of green chemistry, for the separation of the F-gases most used in air conditioning, commercial refrigeration, electrical circuit industry, thermal insulators, and electronic semiconductors at European level: R-134a - 1,1,1,2-tetrafluoroethane, R-32 – difluoromethane, R-125 – pentafluoroethane, SF<sub>6</sub> – sulfur hexafluoride ) and nitrogen (N<sub>2</sub>). In this work, the adsorption of these gases was studied on 4 different biocarbons (CC-1:3H<sub>3</sub>PO<sub>4</sub>, CC-1:1H<sub>3</sub>PO<sub>4</sub>, CC-K<sub>2</sub>CO<sub>3</sub> and CC-CO<sub>2</sub>). Then, this work contributes to reduce the environmental impact of these powerful greenhouse gases, answering one of the greatest current concerns of society, the environment, one central goal of EU Research.</p>
Lab_33_OTHER - Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards
<h1>Lab_33_OTHER - Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards - mzML files</h1><p>This dataset is part of the <a href="https://doi.org/10.5281/zenodo.12632989" target="_blank">ILS Ceramide Ring Trial</a>. The suffix 'SOP' indicates that the results were obtained using the recommended and standard operating procedure protocol to prepare and measure all samples, while the suffix 'OTHER' indicates that the corresponding lab prepared and measured the samples according to their own internal protocol. Please check the corresponding mapping file 'ILS-Ceramide-Ring-Trial-Datasets.csv' in the ILS Ceramide Ring Trial record for a mapping of the originally submitted lab reports and the final lab number as reported in the manuscript.</p><p>All reports together with the code for analysis and visualization, reproducing the figures in the manuscript, are available under the following doi: <a href="https://zenodo.org/doi/10.5281/zenodo.10081970" target="_blank">https://zenodo.org/doi/10.5281/zenodo.10081970</a>. This links to releases of the following GitHub repository: <a href="https://github.com/lifs-tools/ils-ceramide-ring-trial" target="_blank">https://github.com/lifs-tools/ils-ceramide-ring-trial</a>. The archived version of the lab reports, workflow source code and manuscript visualizations are also available <a href="https://zenodo.org/doi/10.5281/zenodo.10081970" target="_blank">here</a>.</p><p>Please note that most datasets have been acquired in MRM mode, such that the msconvert conversion to mzML has stored the MRM data in the chromatogram part of the mzML files.</p> <p>The msconvert Docker container (Proteowizard release: 3.0.24172 (63d00b1), build date Jun 202 2024 20:01:14) was used with the native vendor libraries / peak picking for conversion, using default arguments. m/z values were encoded with 64 bit (default), while intensity values were encoded with 32 bit (default). All binary data was zlib-compressed.</p>
Linked collectors and determiners for: Hydrochus spanglerorum n. sp., a remarkable, highly derived species from Brazil Guyana, and Suriname (Coleoptera: Hydrochidae).
Natural history specimen data linked to collectors and determiners held within, "Hydrochus spanglerorum n. sp., a remarkable, highly derived species from Brazil Guyana, and Suriname (Coleoptera: Hydrochidae)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/46cccc50-af03-4f6e-b6cf-dec70c636d83">https://bionomia.net/dataset/46cccc50-af03-4f6e-b6cf-dec70c636d83</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/46cccc50-af03-4f6e-b6cf-dec70c636d83">https://gbif.org/dataset/46cccc50-af03-4f6e-b6cf-dec70c636d83</a>. Formatted as a Frictionless Data package.
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.