cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5441/001/1.s367rd3k/3
title: LifeTrack White Stork Kosova-reference-data

description: Kays R, Davidson SC, Berger M, Bohrer G, Fiedler W, Flack A, Hirt J, Hahn C, Gauggel D, Russell B, et al. 2021. The Movebank system for studying global animal movement and demography. Methods Ecol Evol. doi:10.1111/2041-210X.13767
description: 1. Quantifying movement and demographic events of free-ranging animals is fundamental to studying their ecology, evolution and conservation. Technological advances have led to an explosion in sensor-based methods for remotely observing these phenomena. This transition to big data creates new challenges for data management, analysis and collaboration. 2. We present the Movebank ecosystem of tools used by thousands of researchers to collect, manage, share, visualize, analyse and archive their animal tracking and other animal-borne sensor data. Users add sensor data through file uploads or live data streams and further organize and complete quality control within the Movebank system. All data are harmonized to a data model and vocabulary. The public can discover, view and download data for which they have been given access to through the website, the Animal Tracker mobile app or by API. Advanced analysis tools are available through the EnvDATA System, the MoveApps platform and a variety of user-developed applications. Data owners can share studies with select users or the public, with options for embargos, licenses and formal archiving in a data repository. 3. Movebank is used by over 3,100 data owners globally, who manage over 6 billion animal location and sensor measurements across more than 6,500 studies, with thousands of active tags sending over 3 million new data records daily. These data underlie &gt;700 published papers and reports. We present a case study demonstrating the use of Movebank to assess life-history events and demography, and engage with citizen scientists to identify mortalities and causes of death for a migratory bird. 4. A growing number of researchers, government agencies and conservation organizations use Movebank to manage research and conservation projects and to meet legislative requirements. The combination of historic and new data with collaboration tools enables broad comparative analyses and data acquisition and mapping efforts. Movebank offers an integrated system for real-time monitoring of animals at a global scale and represents a digital museum of animal movement and behaviour. Resources and coordination across countries and organizations are needed to ensure that these data, including those that cannot be made public, remain accessible to future generations.
DOI: 10.15468/rjpkxn
title: A propos de quelques noms oubliés dans le genre Euphorbia L. (Euphorbiaceae) à Madagascar

description: This dataset contains the digitized treatments in Plazi based on the original journal article Castillon, Jean-Philippe, Castillon, Jean-Bernard (2016): A propos de quelques noms oubliés dans le genre Euphorbia L. (Euphorbiaceae) à Madagascar. Candollea 71 (1): 149-158, DOI: 10.15553/c2016v711a18
DOI: 10.25430/researchdata.cab.unipd.it.00000565
title: Statistical potentials from the Gaussian scaling behaviour of chain fragments buried within protein globules

description: Data files, scripts and figures related to the manuscript "Statistical potentials from the Gaussian scaling behaviour of chain fragments buried within protein globules" by S. Zamuner, F. Seno and A. Trovato, accepted for publication in PLoS ONE.
DOI: 10.18739/a21c1tg96
title: Arc2kmTM: Arctic 2 kilometer Tide Model, 2021

description: The Arctic 2 km (kilometer) Tide Model (Arc2kmTM) is a barotropic ocean tide model on a 2x2 km polar stereographic grid, developed using the Regional Ocean Modeling System (ROMS). Arc2kmTM consists of spatial grids of complex amplitude coefficients for sea surface height and depth-integrated currents (“volume transports”) for 8 principal tidal constituents: 4 semidiurnal (M2, S2, K2, N2) and 4 diurnal (K1, O1, P1, Q1). See the Methods section for a description of model development. The Arc2kmTM gridded files are in binary format (see Arc2kmTM_FileFormat.pdf) and are designed to be used with the open-source software packages: the Matlab “Tide Model Driver” (TMD) toolbox, the Python “pyTMD” package, and the FORTRAN “OSU Tidal Prediction Software” (OTPS). These packages allow the user to browse the model for different constituents, and to make tidal predictions for any time at any location within the model domain. Please also check the Earth and Space Research (ESR) Polar Tide Model webpage (https://www.esr.org/research/polar-tide-models/) and our Arctic Data Center Portal (https://arcticdata.io/catalog/portals/ArcticTides) for other Arctic-region barotropic tide models and more information on software packages.
DOI: 10.5281/zenodo.5772854
title: Cossypha dichroa decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5772853
title: Cossypha dichroa decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5752657
title: MicroED datasets of peptide crystals (AVAAGA) at different accumulated electron exposures

description: Continuous rotation data sets in SMV format were collected on a Tecnai F30 (300 kv) equipped with a TVIPS TEM CAM XF416 detector. Datasets were collected from 3 different crystals. To simulate increasing dose each crystal had 4 datasets collected from it with an approximate fluence of 3 e<sup>- </sup>Å<sup>2</sup> per dataset (12 e<sup>- </sup>Å<sup>2 </sup>total accumulated exposure per crystal). Datasets at each exposure were indexed with XDS and merged with XSCALE to produce a final set of intensities at each total exposure. Experimental parameters are as follows:<br> <br> Accelerating voltage: 300 kV<br> Wavelength: 0.019687<br> Cameralength: 1320 mm<br> Exposure time: 3 s<br> Rotation speed: 0.3 degrees s<sup>-1</sup><br> Rotation: +/- 45 degrees <br> Detector area: 2048 x 2048 (Bin 2)<br> Pixel size: 0.031 mm<br> Spot size: 11<br> C2 aperture: 20 µm<br> SA aperture: 1 µm Datasets are grouped as follows: Crystal 1 = mov1-4, Crystal 2 = mov5-8, Crystal 3 = mov9-12. An example XDS and XSCALE file are provided. Note: It has been brought to our attention that the zip file does not always unpack in a linux environment. The following workaround was found by T. Nakane using OpenJDK (17.0.1) <code>jar -xvf</code> AVAAGA_dose_series.zip
description: {"references": ["https://journals.iucr.org/m/issues/2020/03/00/fq5010/index.html"]}
DOI: 10.5281/zenodo.5752656
title: MicroED datasets of peptide crystals (AVAAGA) at different accumulated electron exposures

description: Continuous rotation data sets in SMV format were collected on a Tecnai F30 (300 kv) equipped with a TVIPS TEM CAM XF416 detector. Datasets were collected from 3 different crystals. To simulate increasing dose each crystal had 4 datasets collected from it with an approximate fluence of 3 e<sup>- </sup>Å<sup>2</sup> per dataset (12 e<sup>- </sup>Å<sup>2 </sup>total accumulated exposure per crystal). Datasets at each exposure were indexed with XDS and merged with XSCALE to produce a final set of intensities at each total exposure. Experimental parameters are as follows:<br> <br> Accelerating voltage: 300 kV<br> Wavelength: 0.019687<br> Cameralength: 1320 mm<br> Exposure time: 3 s<br> Rotation speed: 0.3 degrees s<sup>-1</sup><br> Rotation: +/- 45 degrees <br> Detector area: 2048 x 2048 (Bin 2)<br> Pixel size: 0.031 mm<br> Spot size: 11<br> C2 aperture: 20 µm<br> SA aperture: 1 µm Datasets are grouped as follows: Crystal 1 = mov1-4, Crystal 2 = mov5-8, Crystal 3 = mov9-12. An example XDS and XSCALE file are provided. Note: It has been brought to our attention that the zip file does not always unpack in a linux environment. The following workaround was found by T. Nakane using OpenJDK (17.0.1) <code>jar -xvf</code> AVAAGA_dose_series.zip
description: {"references": ["https://journals.iucr.org/m/issues/2020/03/00/fq5010/index.html"]}
DOI: 10.34620/dadosipb/plvp8m/wxjstc
title: mtDNA haplotypes A.m.iberiensis.fas

description: :unav
DOI: 10.34620/dadosipb/plvp8m
title: Data from: Revisiting the Iberian honey bee (Apis mellifera iberiensis) contact zone: maternal and genome-wide nuclear variation provide support for secondary contact from historical refugia

description: Dissecting diversity patterns of organisms endemic to Iberia has been truly challenging for a variety of taxa, and the Iberian honey bee is no exception. Surveys of genetic variation in the Iberian honey bee are among the most extensive for any honey bee subspecies. From these, differential and complex patterns of diversity have emerged, which have yet to be fully resolved. Here, we used a genome-wide data set of 309 neutrally tested single nucleotide polymorphisms (SNPs), scattered across the 16 honey bee chromosomes, which were genotyped in 711 haploid males. These SNPs were analysed along with an intergenic locus of the mtDNA, to reveal historical patterns of population structure across the entire range of the Iberian honey bee. Overall, patterns of population structure inferred from nuclear loci by multiple clustering approaches and geographic cline analysis were consistent with two major clusters forming a well-defined cline that bisects Iberia along a northeastern–southwestern axis, a pattern that remarkably parallels that of the mtDNA. While a mechanism of primary intergradation or isolation by distance could explain the observed clinal variation, our results are more consistent with an alternative model of secondary contact between divergent populations previously isolated in glacial refugia, as proposed for a growing list of other Iberian taxa. Despite current intense honey bee management, human-mediated processes have seemingly played a minor role in shaping Iberian honey bee genetic structure. This study highlights the complexity of the Iberian honey bee patterns and reinforces the importance of Iberia as a reservoir of Apis mellifera diversity.
DOI: 10.5517/ccdc.csd.cc28b6zt
title: CCDC 2095196: Experimental Crystal Structure Determination

description: Related Article: Eugeny Ivakhnenko, Vasily Malay, Oleg Demidov, Andrey Starikov, Vladimir Minkin|2022|Tetrahedron|103|132575|doi:10.1016/j.tet.2021.132575
DOI: 10.5517/ccdc.csd.cc28b72y
title: CCDC 2095199: Experimental Crystal Structure Determination

description: Related Article: Eugeny Ivakhnenko, Vasily Malay, Oleg Demidov, Andrey Starikov, Vladimir Minkin|2022|Tetrahedron|103|132575|doi:10.1016/j.tet.2021.132575
DOI: 10.5281/zenodo.5772897
title: rosetta source codes for jason

description: Slightly different rosetta source codes with water removers (see email for more detail)
DOI: 10.5281/zenodo.5772896
title: rosetta source codes for jason

description: Slightly different rosetta source codes with water removers (see email for more detail)
DOI: 10.5519/qd.85dx0qu1
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1001 records)
DOI: 10.15468/984ruh
title: New names for two Malagasy species of Canarium L. (Burseraceae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Daly, Douglas C., Raharimampionona, Jeannie, Federman, Sarah (2016): New names for two Malagasy species of Canarium L. (Burseraceae). Candollea 71 (1): 159-160, DOI: 10.15553/c2016v711a19
DOI: 10.5281/zenodo.5772675
title: Validation dataset

description: validation dataset
DOI: 10.5281/zenodo.5772674
title: Validation dataset

description: validation dataset
DOI: 10.15468/vf2wkx
title: Cotoneaster majoricensis L. Sáez & Rosselló (Rosaceae), a new species from Majorca (Balearic Islands, Spain)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Sáez, Llorenç, Rosselló, Josep A. (2012): Cotoneaster majoricensis L. Sáez & Rosselló (Rosaceae), a new species from Majorca (Balearic Islands, Spain). Candollea 67 (2): 243-253, DOI: 10.15553/c2012v672a5
DOI: 10.25810/tg1y-3a80
title: Data set for "Lactic Acid Photochemistry Following Excitation of S0 to S1 at 220 to 250 nm" in JPOC

description:         Data set for "Lactic Acid Photochemistry Following Excitation of S0 to S1 at 220 to 250 nm" to be published in JPOC.
DOI: 10.3886/e156024
title: National Neighborhood Data Archive (NaNDA): School Counts by Census Tract, United States, 2000-2018

description: This dataset contains counts of schools per United States census tract from 2000 through 2018. Counts are broken down by type of school (public, charter, magnet, or private) and grade level (elementary, middle, or high).
description: Census tracts in the United States, including U.S. island territories. Smallest Geographic Unit: census tract
DOI: 10.3886/e156041
title: National Neighborhood Data Archive (NaNDA): School Counts by ZIP Code Tabulation Area, United States, 2000-2018

description: This dataset contains counts of schools per United States ZIP code tabulation area (ZCTA) from 2000 through 2018. Counts are broken down by type of school (public, charter, magnet, or private) and grade level (elementary, middle, or high).
description: ZIP code tabulation areas in the United States, including U.S. island territories. Smallest Geographic Unit: ZIP code tabulation area
description: A ZIP code to ZCTA crosswalk must be used to combine this dataset with ZIP code geocoded data. Such a crosswalk is available on the UDS Mapper website at https://udsmapper.org/zip-code-to-zcta-crosswalk/. Sample code for merging the UDS Mapper crosswalk with NaNDA datasets is available on the NaNDA repository at https://www.openicpsr.org/openicpsr/project/120088/.
DOI: 10.3886/e156042
title: National Neighborhood Data Archive (NaNDA): School Counts and Characteristics by School District, United States, 2000-2018

description: This dataset contains data on schools and school districts within the United States from 2000 through 2018. Key variables include district-level enrollment by race and ethnicity; numbers of teachers and counselors; teacher-student ratios; counts of public, private, and charter schools within districts; and expenditures and revenue, including per-pupil revenue.
description: School districts in the United States, including U.S. island territories. Smallest Geographic Unit: school district
DOI: 10.3886/e156043
title: National Neighborhood Data Archive (NaNDA): Neighborhood-School Gap by Census Tract, United States, 2009-2010 and 2015-2016

description: This dataset contains measures of neighborhood-school gap for 2009-2010 and 2015-2016. Neighborhood-school gap (NS gap) refers to the discrepancy between the demographics of a public school and its surrounding community. For example, if 60% of a school’s student body is Black, but 30% of the neighborhood population is Black, the school has a positive Black neighborhood-school gap. The dataset measures gaps in race and poverty between elementary school student populations and the census tracts that those elementary schools serve. Data is at the census tract level. Supplemental data containing component variables used to calculate NS gap at the school and block group level is also available.
description: Census tracts in the United States, including U.S. island territories. Smallest Geographic Unit: census tract
DOI: 10.5281/zenodo.5772927
title: EnGRaiN : A Supervised Ensemble Learning Method for Recovery of Large-scale Gene Regulatory Networks

description: EnGRaiN is a supervised machine learning method to construct ensemble networks. To benefit from the typical accuracy advantages of supervised learning methods while taking into account the impossibility of knowing true networks for training, we devised a method that uses small training datasets of true positives and true negatives among gene pairs. The datasets used to evaluate the performance of EnGaiN include (i) simulated datasets generated from Yeast networks and (ii) A. thaliana gene expression datasets.
description: Funding: This work is supported in part by the National Science Foundation under IIS-1841351 Related publication DOI: 10.1093/bioinformatics/btab829
DOI: 10.5281/zenodo.5772926
title: EnGRaiN : A Supervised Ensemble Learning Method for Recovery of Large-scale Gene Regulatory Networks

description: EnGRaiN is a supervised machine learning method to construct ensemble networks. To benefit from the typical accuracy advantages of supervised learning methods while taking into account the impossibility of knowing true networks for training, we devised a method that uses small training datasets of true positives and true negatives among gene pairs. The datasets used to evaluate the performance of EnGaiN include (i) simulated datasets generated from Yeast networks and (ii) A. thaliana gene expression datasets.
description: Funding: This work is supported in part by the National Science Foundation under IIS-1841351 Related publication DOI: 10.1093/bioinformatics/btab829
DOI: 10.6084/m9.figshare.7506152.v2
title: New data from Monoplacophora helps resolve molluscan relationships

description: Laevipilina antarctica genome, open reading frames, data matrices, and results of phylogenetic analyses.<br>Update 6 May 2021: The original archive file did not include the final genome assembly for Laevipilina antarctica. The updated file includes the genome assembly described in the paper +/- blobtools decontamination.<br>
DOI: 10.5281/zenodo.4774406
title: Exploratory content analysis of direct-to-consumer pet genomics: What is being marketed and what are consumers saying?

description: The Genetic Company Dataset and Amazon Review Dataset accompany an exploratory content analysis into the direct-to-consumer pet genetic industry. Multiple file formats are provided, though Atlas.ti 9 is the program recommended for importing the data. Please contact the author directly with any questions about the data.
DOI: 10.17632/vx2xmjgmk9.2
title: Data to "Functional control of a 0.5 MDa TET aminopeptidase by a flexible loop revealed by MAS NMR"

description: This data set is related to Gauto et al., "Functional control of a 0.5 MDa TET aminopeptidase by a flexible loop revealed by MAS NMR".
In contains:
* 13C relaxation data (figure 2)
* 1H-13C dipolar-coupling data and all scripts to perform the fits and simulations
* Direct-Coupling-Analysis data
DOI: 10.5281/zenodo.4774405
title: Exploratory content analysis of direct-to-consumer pet genomics: What is being marketed and what are consumers saying?

description: The Genetic Company Dataset and Amazon Review Dataset accompany an exploratory content analysis into the direct-to-consumer pet genetic industry. Multiple file formats are provided, though Atlas.ti 9 is the program recommended for importing the data. Please contact the author directly with any questions about the data.
DOI: 10.3886/e156045
title: National Neighborhood Data Archive (NaNDA): Neighborhood-School Gap by ZIP Code Tabulation Area, United States, 2009-2010 and 2015-2016

description: This dataset contains measures of neighborhood-school gap for 2009-2010 and 2015-2016. Neighborhood-school gap (NS gap) refers to the discrepancy between the demographics of a public school and its surrounding community. For example, if 60% of a school’s student body is Black, but 30% of the neighborhood population is Black, the school has a positive Black neighborhood-school gap. The dataset measures gaps in race and poverty between elementary school student populations and the ZIP code tabulation areas (ZCTAs) that those elementary schools serve. Data is at the ZCTA level. Supplemental data containing component variables used to calculate NS gap at the school and block group level is also available.
description: ZIP code tabulation areas in the United States, including U.S. island territories. Smallest Geographic Unit: ZIP code tabulation area
description: A ZIP code to ZCTA crosswalk must be used to combine this dataset with ZIP code geocoded data. Such a crosswalk is available on the UDS Mapper website at https://udsmapper.org/zip-code-to-zcta-crosswalk/. Sample code for merging the UDS Mapper crosswalk with NaNDA datasets is available on the NaNDA repository at https://www.openicpsr.org/openicpsr/project/120088/.
DOI: 10.5281/zenodo.5772673
title: Data from: Better together? Assessing different remote sensing products for predicting habitat suitability of wetland birds

description: This data repository contains the processed and extracted metrics from the Dutch land cover, country wide airborne laser scanning and Sentinel-1 and 2 datasets used as input predictor variables in the species distribution modelling step. The study area within the Netherlands comprised five Dutch provinces (Groningen, Drenthe, Overijssel, Gelderland, and Flevoland) for which both ALS and Sentinel data were available for the same year. The land cover metrics were derived using the Dutch land cover map from 2018 (LGN2018 or LGN8). The country-wide LiDAR point clouds were derived from the third Dutch national ALS flight campaign (AHN3, Actueel Hoogtebestand Nederland). The AHN3 dataset is openly accessible data available from (https://ahn.arcgisonline.nl/ahnviewer/). The Sentinel datasets were processed using Google Earth Engine.
DOI: 10.5281/zenodo.5772672
title: Data from: Better together? Assessing different remote sensing products for predicting habitat suitability of wetland birds

description: This data repository contains the processed and extracted metrics from the Dutch land cover, country wide airborne laser scanning and Sentinel-1 and 2 datasets used as input predictor variables in the species distribution modelling step. The study area within the Netherlands comprised five Dutch provinces (Groningen, Drenthe, Overijssel, Gelderland, and Flevoland) for which both ALS and Sentinel data were available for the same year. The land cover metrics were derived using the Dutch land cover map from 2018 (LGN2018 or LGN8). The country-wide LiDAR point clouds were derived from the third Dutch national ALS flight campaign (AHN3, Actueel Hoogtebestand Nederland). The AHN3 dataset is openly accessible data available from (https://ahn.arcgisonline.nl/ahnviewer/). The Sentinel datasets were processed using Google Earth Engine.
DOI: 10.17632/79vnhtfh85.2
title: The effectiveness of different aerobic exercises to improve pain intensity and disability in chronic low back pain patients: A systemic review

description: Background:
Physical activity, including aerobic exercise, is highly recommended for chronic low back pain (CLBP) patients to improve the pain intensity and functional disability.
Objectives:
To assess the effectiveness of different aerobic exercises to reduce pain intensity and functional disability in patients with CLBP..

The following dataset is about the PRISMA checklist that was used for the systemic review.
DOI: 10.17632/7z5fxz6r6x.1
title: A South African Indian Population Group Dataset for Breast Cancer and BRCA1/2 Variants

description: The South African Indian population represents a different genetic admixture compared to that of mainland India. To date, comprehensive BRCA1/2 screening for this population group was not conducted. Furthermore, no information about the type of genetic abnormalities present within these genes are known. From this dataset, twenty-eight different pathogenic heterozygotes were detected in 32 of the 223 patients. The information was published with the recommendation that comprehensive familial breast cancer testing for South African Indian patients as the pathogenic variants seem to be family- rather than population-specific. However, a series of singly nucleotide polymorphisms and variants with an unknown clinical significance was also collected. Finally, clinical information was also supplied in addition to the genetic information about the tumour characteristics.
DOI: 10.17030/uclan.data.00000319
title: ASPIRE_COVID-19_WP2_National_Stakeholders_Interviews_UK
DOI: 10.17632/z3f8hsttxb.1
title: Hausa Speech Dataset

description: This is a Hausa speech Dataset recorded in three different locations which are: Nile University audio studio, News broadcasting studio, and Quiet rooms at different homes.