cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25283311
title: Dataset and code

description: Dataset and code supporting the manuscript titled "Slow-exploring captive red knots were quicker to find food in a social setting than fast explorers" by Roncoroni A., Ersoy S. & Bijleveld A.I.
DOI: 10.15156/bio/sh0744724.10fu
title: SH0744724.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.fpjk8z
title: Occurrence Download

description: A dataset containing 1034 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-111.74794 43.73784,-109.33034 43.73784,-109.33034 45.55474,-111.74794 45.55474,-111.74794 43.73784))",
 "HasGeospatialIssue is false",
 "TaxonKey is Pieridae"
 ]
}

 The dataset includes 1034 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0389530-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jdxpnh
title: Occurrence Download

description: A dataset containing 4998 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-111.87295 43.70971,-109.30997 43.70971,-109.30997 45.49092,-111.87295 45.49092,-111.87295 43.70971))",
 "HasGeospatialIssue is false",
 "TaxonKey is Bombus Latreille, 1802"
 ]
}

 The dataset includes 4998 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0389547-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17190/amf/1902828
title: AmeriFlux FLUXNET-1F CA-NS5 UCI-1981 burn site

description: This is the AmeriFlux Management Project (AMP) created FLUXNET-1F version of the carbon flux data for the site CA-NS5 UCI-1981 burn site. This is the FLUXNET version of the carbon flux data for the site CA-NS5 UCI-1981 burn site produced by applying the standard ONEFlux (1F) software. Site Description - The UCI-1981 site is located in a continental boreal forest, dominated by black spruce trees, within the BOREAS northern study area in central Manitoba, Canada. The site is a member of a chronological series of sites that are representative secondary succession growth stages after large stand replacement fires. Black spruce trees undergo a slow growth process enabling the accurate determination of the chronosequence of stand age disturbance. Additionally, boreal forests make up approximately 25% of forest ecosystems on earth. With both of these in mind, the UCI sites provide an excellent location to study the CO2 exchange between the atmosphere and boreal forest ecosystems as a function of sequential wildfires.
DOI: 10.17632/fgjwsyfbtz.1
title: GYE Digitalization Data

description: Data Digitalization for bumble bees and butterflies of the Greater Yellowstone Ecosystem as part of the publication submission "Leveraging Virtual Datasets to Investigate the Interplay of Pollinators, Protected Areas, and SDG 15" for Learning Sustainability. Metadata for records available upon request from Sarah Whipple, corresponding author (sarahemmawhipple@gmail.com).
DOI: 10.18140/flx/1440072
title: FLUXNET2015 US-IB2 Fermi National Accelerator Laboratory- Batavia (Prairie site)

description: This is the FLUXNET2015 version of the carbon flux data for the site US-IB2 Fermi National Accelerator Laboratory- Batavia (Prairie site).
DOI: 10.18140/flx/1440137
title: FLUXNET2015 CN-Cha Changbaishan

description: This is the FLUXNET2015 version of the carbon flux data for the site CN-Cha Changbaishan.
DOI: 10.18140/flx/1440141
title: FLUXNET2015 CN-Qia Qianyanzhou

description: This is the FLUXNET2015 version of the carbon flux data for the site CN-Qia Qianyanzhou.
DOI: 10.18140/flx/1440173
title: FLUXNET2015 IT-Ren Renon

description: This is the FLUXNET2015 version of the carbon flux data for the site IT-Ren Renon.
DOI: 10.18140/flx/1440175
title: FLUXNET2015 IT-Ro2 Roccarespampani 2

description: This is the FLUXNET2015 version of the carbon flux data for the site IT-Ro2 Roccarespampani 2.
DOI: 10.18140/flx/1440192
title: FLUXNET2015 AR-Vir Virasoro

description: This is the FLUXNET2015 version of the carbon flux data for the site AR-Vir Virasoro.
DOI: 10.5281/zenodo.269612
title: 1920 Simulations For Method Verification

description: The ZIP-file "1920simulations.zip" contains archive of all 1920 simulated recordings along 1920 random trajectories. 

It contains 1920x8 = 17280 files with the names, conaining the following information:<br>
&lt;FM, QCF or CF bat-call-type&gt;&lt;BaselineError-type&gt;&lt;SimulatedRecordingNumber&gt;&lt;Basline,Our or Real&gt;&lt;TDOA or TRAJECTORY&gt;.&lt;JPG or XLS&gt;

<br>
Each name (each simulation) corresponds to 2 JPG-images and 8 comma-separated-values XLS-tables:

JPGs (2 files for each simulated recording): <br>
file1. TDOA (in the form of distance difference) <br>
and <br>
file2. TRAJECTORY (in X and Y projections)

<br>
XLS (7 files for each simulated recording): <br>
TDOA-files (in the form of distance difference) for<br>
file3. Baseline TDOAs <br>
file4. Our method TDOAs <br>
file5. Real TDOAs <br>
each TDOA-file contain 5 columns (one for each time-moment) and 6 lines (one for each of the following TDOAs: TDOA(mic.1,mic.2); TDOA(mic.1,mic.3); TDOA(mic.1,mic.4); TDOA(mic.2,mic.3); TDOA(mic.2,mic.4); TDOA(mic.3,mic.4))

TRAJECTORY-files <br>
file6. reconstructed from Baseline TDOAs <br>
file7. reconstructed from Our method TDOAs <br>
file8. reconstructed from Real TDOAs <br>
file9. Real trajectory<br>
each TRAJECTORY-file contain 3 columns (one for each coordinate) and 5 lines (one for each time-moment)
DOI: 10.5281/zenodo.7147503
title: Ginkgo Chauvel's left and right superficial white matter atlas of the chimpanzee brain

description: <strong>Superficial Chauvel's chimpanzee white matter atlas.</strong> The left and right superficial white matter atlas of the chimpanzee brain was built upon a cohort of 39 in vivo chimpanzees magnetic resonance imaging (MRI) scans shared by the Pr. William D. Hopkins, registered on a template space (Juna.chimp template from Vickery et al. 2020). The construction of this atlas is based on the analysis of the anatomical and diffusion MRI dataset using the tractography and fiber clustering tools available from the Ginkgo toolbox (CEA, NeuroSpin, BAOBAB, GAIA, Ginkgo Team, https://framagit.org/cpoupon/gkg). The atlas can be visualized using the BrainVISA/Anatomist viewer available at https://brainvisa.info/web/download.html. <br> The left hemisphere atlas is composed of 422 superficial white matter bundles and the right hemisphere atlas of 400 superficial white matter bundles.<br> <br> The 38 cortical regions considered for the left and right hemispheres were : the anterior/middle/posterior superior frontal gyrus (aSFG/mSFG/pSFG) ; the anterior and posterior middle frontal gyrus (aMFG/pMFG) ; the anterior/middle/posterior inferior frontal gyrus (aIFG/mIFG/pIFG) ; the medial lateral orbitofrontal cortex (mOFC/ lOFC) ; the superior, middle, inferior precentral gyrus (sPrCG / mPrCG / iPrCG) ; the Paracentral Lobule (PCL) ; the anterior and posterior insula (alns / plns) ; the anterior, posterior superior temporal gyrus (aSTG/pSTG) ; the anterior, posterior middle temporal gyrus (aMTG/pMTG) ; the anterior and posterior inferior temporal gyrus (aITG, pITG) ; the anterior and posterior fusiform gyrus (aFFG/pFFG) ; the superior, middle and inferior postcentral gyrus (sPoCG/mPoCG/iPoCG) ; the superior parietal lobule (SPL) ; the supramarginal gyrus (SMG) ; the angular gyrus (AnG) ; the Precuneus (PCun) ; the cuneus (Cun) ; the Lingual Gyrus (LG) ; the superior, middle, inferior occipital gyrus (sOG / mOG/ iOG) ; the entorhinal Cortex (EnC) ; the parahippocampal gyrus (PHC).<br> <br> The atlas is provided using the Anatomist *.bundles/*.bundlesdata format for which metainformation can be found in the *.bundles file among which:<br> - the labels of the different white matter bundles ('labels' entry) following the syntactic rule "&lt;right/left&gt;_&lt;roi1&gt;_&lt;roi2&gt;_&lt;clusterId&gt;",<br> - the number of streamlines populating each white matter bundle ('curve3d_counts' entry), in the same order as the 'labels' key,<br> - the total number of white matter bundles ('item_count' entry),<br> - the total number of streamlines ('curves_count' entry)
DOI: 10.5281/zenodo.8395558
title: Dataset_islets_bylotisland

description: Complete dataset, occupation by three nesting species on islets, Bylot Island, Nunavut, Canada, over 2018 and 2019 nesting seasons
DOI: 10.6084/m9.figshare.24647514
title: N deposition datasets in China

description: Data files belonging to the manuscript:Lei Liu, Zhang Wen, Sheng Liu, Xiuying Zhang, Xuejun Liu, 2024, Implications of recent decline in nitrogen deposition in China, Under review, Nature Geoscience. <br><b>Note that further re-use for publications is only permitted after consultation with us (</b>liuleigeo@lzu.edu.cn<b> )</b>. It contains a complete set of total N deposition between 2010-2020 in both kg N ha<sup>-1</sup> yr<sup>-1</sup> (average N deposition in each grid) and Tg N yr<sup>-1</sup> (total N deposition= average N deposition in each grid*grid area).
DOI: 10.6084/m9.figshare.26076250
title: Supplementary Material for: Clinical characteristics, functional outcome and socioeconomic impact of ischemic stroke among young Egyptian adults

description: Background: Stroke in young patients results in disproportionately high societal cost given the productive life-years lost. Little is known about stroke in young Egyptian patients. We aimed to analyze clinicodemographic characteristics, functional outcome and socioeconomic impact of ischemic stroke among young Egyptian adults.
Methods: Prospective, observational cohort study of consecutively recruited patients with acute ischemic stroke (AIS), 18- 50 years, between September 2022-Septemeber 2023 at a tertiary stroke center in the south of Egypt. We recorded baseline demographic and cardiovascular risk factors, stroke severity, stroke subtype according to the TOAST classification, intravenous thrombolysis, employment and ambulation status pre and post stroke, post stroke complications and 90-day functional outcome measured by the modified Rankin Scale (mRS).
Results: Our cohort comprised 210 patients, 38.0 (±7.8) years; 89 (42%) females. Mean NIHSS score was 11.2(±4.8); in-hospital case fatality was 9% (19 patients). Dyslipidemia (n=105, 50%), smoking (n=105, 50%), and hypertension (n=67, 32%) were the most prevalent cardiovascular risk factors. At 90 days 58 (29%) patients had a 90-mRS 0-1 and 53 (26%) met criteria for depression diagnosis. Sixty-nine of the 116 employed individuals (59%) remained out of work after 90 days of stroke, 61 of whom were single earners in their household. . 36/60 (60%) thrombolysis-eligible patients received it; an additional 98 otherwise thrombolysis-eligible patients presented &gt;4.5 hours from symptom onset. Patients receiving IV thrombolysis were significantly more likely to have resumed full time work at 90 days (32% vs 11%, p=0.006) but with no significant difference in 90-day mRS. 
Conclusions: Young adult AIS patients in Egypt experience high rates of post-stroke depression and face challenges in their ability to work and provide for their families. Since most patients have treatable cardiovascular risk factors and only about two-thirds of eligible patients receive thrombolysis, reinforcing primary prevention, education about early stroke signs and benefits of acute can improve outcomes and have significant potential societal benefit.
DOI: 10.6084/m9.figshare.26294881
title: <b>The CH1 domain influences the expression and antigen sensing of the HIV-specific CH31 IgM-BCR and IgG-BCR</b>

description: Membrane immunoglobulin class impacts the expression level and antigen binding features of the BCR. We studied the antigen sensing of human B cells expressing either an IgM- or IgG1-class BCR, with the same VH/VL domains namely that of the anti-HIV broadly neutralizing antibody (bnAb) CH31. We found that CH31 IgM-BCR and CH31 IgG-BCR differ in the levels of BCR expression and their binding and response to monomeric and tetrameric HIV antigens. These class-specific features of the IgG1-BCR could be transferred with the CH1g domain to a chimeric IgM(Cg1)-BCR. We suggest that the CH1g is more stable than the CH1m domain to allow the production of antigen receptors and antibodies with highly mutated and unstable VH domains.
DOI: 10.15156/bio/sh0744725.10fu
title: SH0744725.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0744726.10fu
title: SH0744726.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0744727.10fu
title: SH0744727.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0744728.10fu
title: SH0744728.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0744729.10fu
title: SH0744729.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0744730.10fu
title: SH0744730.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.1594/pangaea.864046
title: The new DGFI-TUM realization of the ITRS: DTRF2014 (data)

description: The DTRF2014 is a realization of the the fundamental Earth-fixed coordinate system, the International Terrestrial Reference System (ITRS). It has been computed by the Deutsches Geodätisches Forschungsinstitut der Technischen Universität München (DGFI-TUM).The DTRF2014 consists of station positions and velocities of 1712 globally distributed geodetic observing stations of the observation techniques VLBI, SLR, GNSS and DORIS. Additionally, for the first time, non-tidal atmospheric and hydrological loading is considered in the solution. The DTRF2014 was released in August 2016 and incorporates observation data of the four techniques up 2014. The observation data were processed and submitted by the corresponding technique services:IGS (International GNSS Service, http://igscb.jpl.nasa.gov)IVS (International VLBI Service, http://ivscc.gsfc.nasa.gov)ILRS (International Laser Ranging Service, http://ilrs.gsfc.nasa.gov)IDS (International DORIS Service, http://ids-doris.org).The DTRF2014 is an independent ITRS realization. It is computed on the basis of the same input data as the realizations JTRF2014 (JPL, Pasadena) and ITRF2014 (IGN, Paris). The three realizations of the ITRS differ conceptually. While DTRF2014 and ITRF2014 are based on station positions at a reference epoch and velocities, the JTRF2014 is based on time series of station positions. DTRF2014 and ITRF2014 result from different combination strategies: The ITRF2014 is based on the combination of solutions, the DTRF2014 is computed by the combination of normal equations.The DTRF2014 comprises 3D coordinates and coordinate changes of 1347 GNSS-, 113 VLBI-, 99 SLR- and 153 DORIS-stations. The reference epoch is 1.1.2005, 0h UTC. The Earth Orientation Parameters (EOP) - that means the coordinates of the terrestrial and the celestial pole, UT1-UTC and the Length of Day (LOD) - were simultaneously estimated with the station coordinates. The EOP time series cover the period from 1979.7 to 2015.0. The station names are the official IERS identifiers: CDP numbers or 4-character IDs and DOMES numbers (http://itrf.ensg.ign.fr/doc_ITRF/iers_sta_list.txt). The DTRF2014 solution is available in one comprehensive SINEX file and four technique-specific SINEX files, see below. A detailed description of the solution is given on the website of DGFI-TUM (http://www.dgfi.tum.de/en/science-data-products/dtrf2014/). More information can be made available by request.
DOI: 10.18140/flx/1440034
title: FLUXNET2015 CA-Gro Ontario - Groundhog River, Boreal Mixedwood Forest

description: This is the FLUXNET2015 version of the carbon flux data for the site CA-Gro Ontario - Groundhog River, Boreal Mixedwood Forest.
DOI: 10.18140/flx/1440070
title: FLUXNET2015 US-Goo Goodwin Creek

description: This is the FLUXNET2015 version of the carbon flux data for the site US-Goo Goodwin Creek.
DOI: 10.18140/flx/1440153
title: FLUXNET2015 DK-Eng Enghave

description: This is the FLUXNET2015 version of the carbon flux data for the site DK-Eng Enghave.
DOI: 10.18140/flx/1440164
title: FLUXNET2015 FR-Pue Puechabon

description: This is the FLUXNET2015 version of the carbon flux data for the site FR-Pue Puechabon.
DOI: 10.18140/flx/1440167
title: FLUXNET2015 IT-Col Collelongo

description: This is the FLUXNET2015 version of the carbon flux data for the site IT-Col Collelongo.
DOI: 10.18140/flx/1440196
title: FLUXNET2015 AU-Cum Cumberland Plains

description: This is the FLUXNET2015 version of the carbon flux data for the site AU-Cum Cumberland Plains.