cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.cj5q8/9
title: CASA_CS data

description: Dataset for sperm trait analysis (cross-sectional)
DOI: 10.5061/dryad.cj5q8/11
title: ProgenySurvival_CS data

description: Dataset for progeny survival analysis (cross-sectional)
DOI: 10.15129/cabc6e13-f0c3-4b34-a018-2d6ac8c6cab5
title: Data for: "Distinct temporal coordination of spontaneous population activity between basal forebrain and auditory cortex"

description: Dataset for manuscript "Distinct temporal coordination of spontaneous population activity between basal forebrain and auditory cortex". Data files contains all original spike trains for all figures. README describes further details.
DOI: 10.5281/zenodo.805943
title: An Optimization Framework To Combine Operable Space Maximization With Design Of Experiments - Data

description: Data from figures to accompany paper
DOI: 10.5281/zenodo.629417
title: Magnetic Resonance Imaging Scan Of The Brain Of A Giant Panda (Ailuropoda Melanoleuca)

description: Magnetic Resonance Imaging Scan of the Brain of a Giant panda (<i>Ailuropoda melanoleuca</i>) from http://braincatalogue.org/Giant_panda
DOI: 10.5281/zenodo.805944
title: An Optimization Framework To Combine Operable Space Maximization With Design Of Experiments - Data

description: Data from figures to accompany paper
DOI: 10.5281/zenodo.1129320
title: Data And Script For Andrews Et Al. 'A Marker Of Biological Ageing Predicts Risk Preference In European Starlings, Sturnus Vulgaris'

description: Data and script for Andrews et al. 'A marker of biological ageing predicts risk preference in European starlings, Sturnus vulgaris'. Consists: One R script and three data .csv files.
DOI: 10.25909/12979157.v1
title: SI Files

description: SI files for the paper.<br>
DOI: 10.5284/1045807
title: Lithic scatters from the Tiverton area

description: Data associated with lithic scatters collected by fieldwalking in the area of the North Devon link road before, during, and after its construction, and held by the Royal Albert Memorial museum, Exeter.
DOI: 10.13135/ela-176
title: Ephebic Monument
DOI: 10.5281/zenodo.1127009
title: Test Data For Multicolorspr

description: Dataset to test the developed workflow of multi-color single particle reconstruction. The associated software is available on GitHub: https://github.com/christian-7/MultiColorSPR
DOI: 10.5281/zenodo.1127010
title: Test Data For Multicolorspr

description: Dataset to test the developed workflow of multi-color single particle reconstruction. The associated software is available on GitHub: https://github.com/christian-7/MultiColorSPR
DOI: 10.6073/pasta/69402c9dd79be91a07b6f564554b21f3
title: Net primary production (NPP) and climate data from Sevilleta LTER core and control sites
      in desert grassland and shrubland ecosystems, 1999 - 2017
DOI: 10.21227/h27q0r
title: DARPA KASSPER Radar Data Set
DOI: 10.5281/zenodo.1130793
title: Coding Data Of Manuscript "How Do Developers Utilize Source Code From Stack Overflow?"

description: This is the coding data for the manuscript "How Do Developers Utilize Source Code from Stack Overflow?".
DOI: 10.5281/zenodo.1117873
title: Micro-Wear Data From Robotic Use-Wear Experiments On Force

description: This data is the result of highly controlled experiments investigating the influence of force and duration on lithic micro-wear using a robot arm. Its targeted application is in archaeology and anthropology on the study of human tool use in the prehistory. The data consists of three zip files of html reports containing experimental data together with the microscopic images, and MATLAB scripts of the analysis methods. The images were collected at different stages of the experiment using a focus variation microscope, which produces true-color as well as topographic images.
description: Funded by ETH Zürich Grant No. 0-20043-14
DOI: 10.5281/zenodo.1117874
title: Micro-Wear Data From Robotic Use-Wear Experiments On Force

description: This data is the result of highly controlled experiments investigating the influence of force and duration on lithic micro-wear using a robot arm. Its targeted application is in archaeology and anthropology on the study of human tool use in the prehistory. The data consists of three zip files of html reports containing experimental data together with the microscopic images, and MATLAB scripts of the analysis methods. The images were collected at different stages of the experiment using a focus variation microscope, which produces true-color as well as topographic images.
description: Funded by ETH Zürich Grant No. 0-20043-14
DOI: 10.7939/dvn/h1hrbf
title: Non-Cochrane Reviews from 2014
DOI: 10.5281/zenodo.1129328
title: Experimental Data: Hrtem Images
DOI: 10.5517/ccdc.csd.cc1yvtk5
title: CCDC 1813238: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold|2017|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.1127667
title: Soil Carbon Dynamics In Soybean Cropland And Forests In Mato Grosso, Brazil

description: These files contain the carbon content, radiocarbon, and stable isotope data for soils collected to 2 m deep in forest and soybean cropland in Mato Grosso, Brazil.
description: This research has been supported by a grant from the U.S. Environmental Protection Agency's Science to Achieve Results (STAR) program (Award #: FP-91749001-0) and a Brown University EEB Dissertation Development Grant award to R.C.N. S.T. received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No. 695101 (14Constraint)). Additional support was provided by the Andrew Mellon Foundation to S.P., NSF Awards DEB 0949370, DEB 1257391, and ICN 1342953 to C.N., and by the State of São Paulo Research Foundation (FAPESP).
DOI: 10.5281/zenodo.1129327
title: Experimental Data: Hrtem Images
DOI: 10.5517/ccdc.csd.cc1yvtn8
title: CCDC 1813241: Experimental Crystal Structure Determination

description: Related Article: Brian W. Skelton, Brian L. Johnson, Peter Varelis|2017|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15785/sbgrid/532
title: X-Ray Diffraction data from PAK4FL-CDC42, source of 5UPL structure

description: Diffaction images
DOI: 10.15785/sbgrid/533
title: X-Ray Diffraction data from PAK4cat-PAK4N45-CDC42, source of 5UPK structure

description: Diffaction images
DOI: 10.5281/zenodo.1127666
title: Soil Carbon Dynamics In Soybean Cropland And Forests In Mato Grosso, Brazil

description: These files contain the carbon content, radiocarbon, and stable isotope data for soils collected to 2 m deep in forest and soybean cropland in Mato Grosso, Brazil.
description: This research has been supported by a grant from the U.S. Environmental Protection Agency's Science to Achieve Results (STAR) program (Award #: FP-91749001-0) and a Brown University EEB Dissertation Development Grant award to R.C.N. S.T. received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No. 695101 (14Constraint)). Additional support was provided by the Andrew Mellon Foundation to S.P., NSF Awards DEB 0949370, DEB 1257391, and ICN 1342953 to C.N., and by the State of São Paulo Research Foundation (FAPESP).
DOI: 10.5281/zenodo.1119130
title: Data For: Alisch Et Al Maple Supplementary Materials

description: Archive of experimental data for the manuscript: "MAPLE: a Modular Automated Platform for Large-scale Experiments, a low-cost robot for integrated animal-handling and phenotyping." Data are tracked animal centroids from various arenas, genotypes and experimental groups. Also included are MATLAB scripts for processing this data and producing the plots from the manuscript. A readme file describes the contents of the archive.
DOI: 10.15482/usda.adc/1414586
title: USLE Project
DOI: 10.5281/zenodo.1034228
title: Gulustan Black Sea Scientific Journal Of Academic Research

description: AGRICULTURAL, ENVIRONMENTAL & NATURAL SCIENCES

SOCIAL, PEDAGOGY SCIENCES & HUMANITIES

MEDICINE, VETERINARY MEDICINE, PHARMACY AND BIOLOGY SCIENCES

TECHNICAL AND APPLIED SCIENCES

REGIONAL DEVELOPMENT AND INFRASTRUCTURE

ECONOMIC, MANAGEMENT & MARKETING SCIENCES

LEGAL, LEGISLATION AND POLITICAL SCIENCES
DOI: 10.5281/zenodo.1034229
title: Gulustan Black Sea Scientific Journal Of Academic Research

description: AGRICULTURAL, ENVIRONMENTAL & NATURAL SCIENCES

SOCIAL, PEDAGOGY SCIENCES & HUMANITIES

MEDICINE, VETERINARY MEDICINE, PHARMACY AND BIOLOGY SCIENCES

TECHNICAL AND APPLIED SCIENCES

REGIONAL DEVELOPMENT AND INFRASTRUCTURE

ECONOMIC, MANAGEMENT & MARKETING SCIENCES

LEGAL, LEGISLATION AND POLITICAL SCIENCES
DOI: 10.21227/h23w88
title: Multi-modal mobile brain-body imaging (MoBI) dataset for assaying neural and head movement responses associated with creative video game play in children
DOI: 10.17632/df8n9m77rj.1
title: Data for: Salvianic acid A sodium protects HUVEC cells against tert-butyl hydroperoxide induced oxidative injury via mitochondria-dependent pathway
DOI: 10.5281/zenodo.1132101
title: Gulustan Black Sea Scientific Journal Of Academic Research

description: AGRICULTURAL, ENVIRONMENTAL & NATURAL SCIENCES

SOCIAL, PEDAGOGY SCIENCES & HUMANITIES

MEDICINE, VETERINARY MEDICINE, PHARMACY AND BIOLOGY SCIENCES

TECHNICAL AND APPLIED SCIENCES

REGIONAL DEVELOPMENT AND INFRASTRUCTURE

ECONOMIC, MANAGEMENT & MARKETING SCIENCES

LEGAL, LEGISLATION AND POLITICAL SCIENCES
description: AGRICULTURAL, ENVIRONMENTAL & NATURAL SCIENCES
SOCIAL, PEDAGOGY SCIENCES & HUMANITIES
MEDICINE, VETERINARY MEDICINE, PHARMACY AND BIOLOGY SCIENCES
TECHNICAL AND APPLIED SCIENCES
REGIONAL DEVELOPMENT AND INFRASTRUCTURE
ECONOMIC, MANAGEMENT & MARKETING SCIENCES 
LEGAL, LEGISLATION AND POLITICAL SCIENCES
DOI: 10.5281/zenodo.1132102
title: Gulustan Black Sea Scientific Journal Of Academic Research

description: AGRICULTURAL, ENVIRONMENTAL & NATURAL SCIENCES

SOCIAL, PEDAGOGY SCIENCES & HUMANITIES

MEDICINE, VETERINARY MEDICINE, PHARMACY AND BIOLOGY SCIENCES

TECHNICAL AND APPLIED SCIENCES

REGIONAL DEVELOPMENT AND INFRASTRUCTURE

ECONOMIC, MANAGEMENT & MARKETING SCIENCES

LEGAL, LEGISLATION AND POLITICAL SCIENCES
description: AGRICULTURAL, ENVIRONMENTAL & NATURAL SCIENCES
SOCIAL, PEDAGOGY SCIENCES & HUMANITIES
MEDICINE, VETERINARY MEDICINE, PHARMACY AND BIOLOGY SCIENCES
TECHNICAL AND APPLIED SCIENCES
REGIONAL DEVELOPMENT AND INFRASTRUCTURE
ECONOMIC, MANAGEMENT & MARKETING SCIENCES 
LEGAL, LEGISLATION AND POLITICAL SCIENCES
DOI: 10.5281/zenodo.1131758
title: Gulustan Black Sea Scientific Journal Of Academic Research

description: AGRICULTURAL, ENVIRONMENTAL & NATURAL SCIENCES

SOCIAL, PEDAGOGY SCIENCES & HUMANITIES

MEDICINE, VETERINARY MEDICINE, PHARMACY AND BIOLOGY SCIENCES

TECHNICAL AND APPLIED SCIENCES

REGIONAL DEVELOPMENT AND INFRASTRUCTURE

ECONOMIC, MANAGEMENT & MARKETING SCIENCES

LEGAL, LEGISLATION AND POLITICAL SCIENCES
description: AGRICULTURAL, ENVIRONMENTAL & NATURAL SCIENCES
SOCIAL, PEDAGOGY SCIENCES & HUMANITIES
MEDICINE, VETERINARY MEDICINE, PHARMACY AND BIOLOGY SCIENCES
TECHNICAL AND APPLIED SCIENCES
REGIONAL DEVELOPMENT AND INFRASTRUCTURE
ECONOMIC, MANAGEMENT & MARKETING SCIENCES 
LEGAL, LEGISLATION AND POLITICAL SCIENCES
DOI: 10.5281/zenodo.1131757
title: Gulustan Black Sea Scientific Journal Of Academic Research

description: AGRICULTURAL, ENVIRONMENTAL & NATURAL SCIENCES

SOCIAL, PEDAGOGY SCIENCES & HUMANITIES

MEDICINE, VETERINARY MEDICINE, PHARMACY AND BIOLOGY SCIENCES

TECHNICAL AND APPLIED SCIENCES

REGIONAL DEVELOPMENT AND INFRASTRUCTURE

ECONOMIC, MANAGEMENT & MARKETING SCIENCES

LEGAL, LEGISLATION AND POLITICAL SCIENCES
description: AGRICULTURAL, ENVIRONMENTAL & NATURAL SCIENCES
SOCIAL, PEDAGOGY SCIENCES & HUMANITIES
MEDICINE, VETERINARY MEDICINE, PHARMACY AND BIOLOGY SCIENCES
TECHNICAL AND APPLIED SCIENCES
REGIONAL DEVELOPMENT AND INFRASTRUCTURE
ECONOMIC, MANAGEMENT & MARKETING SCIENCES 
LEGAL, LEGISLATION AND POLITICAL SCIENCES
DOI: 10.5517/ccdc.csd.cc1yvwk7
title: CCDC 1813300: Experimental Crystal Structure Determination

description: Related Article: Brian W. Skelton|2017|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/78lkom
title: Araboplia lorisi new genus and species of Rutelinae from Saudi Arabia (Coleoptera, Scarabaeidae), with comments on the subtribe Popilliina

description: This dataset contains the digitized treatments in Plazi based on the original journal article Uliana, Marco, Sabatinelli, Guido (2017): Araboplia lorisi new genus and species of Rutelinae from Saudi Arabia (Coleoptera, Scarabaeidae), with comments on the subtribe Popilliina. European Journal of Taxonomy 373: 1-12, DOI: https://doi.org/10.5852/ejt.2017.373
DOI: 10.5517/ccdc.csd.cc1yw2c8
title: CCDC 1813480: Experimental Crystal Structure Determination

description: Related Article: Ilia A. Guzei, Howard E. Zimmerman|2017|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15785/sbgrid/537
title: X-Ray Diffraction data from 5C4 Fab, source of 5W24 structure

description: Native
description: 1) indexed and integrated to 1.5A as C2
2) molecular replacement solution obtained using a murine antibody heavy chain (PDB ID: 3T3P3) and light chain (PDB ID 4GAG)
DOI: 10.21421/d2/6nemsb
title: Phenotypic evaluation data of medium duration wide hybridization Pigeonpea lines trial for Year 2015-16
DOI: 10.15785/sbgrid/536
title: X-Ray Diffraction data from RSV F in complex with 5C4 Fab, source of 5W23 structure

description: Native dataset
description: 1) Reverse spindle rotation for goniometer 
2) Error with detector distance (297.3, not 300mm) 
3) Process in P4(1)2(1)2 
4) Molecular replacement using high resolution RSV F (PDB ID: 5C69) and 5C4 Fab (PDB ID:5W24)
DOI: 10.17632/8pfhsgy3wk.1
title: Data for: Are wives and daughters disadvantaged in polygynous households? A case study of the Arsi Oromo of Ethiopia

description: Data for: Are wives and daughters disadvantaged in polygynous households? A case study of the Arsi Oromo of Ethiopia
DOI: 10.15156/bio/sh1322340.09fu
title: SH1322340.09FU

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/sh1322341.09fu
title: SH1322341.09FU

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/sh1322342.09fu
title: SH1322342.09FU

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/sh1322343.09fu
title: SH1322343.09FU

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/sh1322344.09fu
title: SH1322344.09FU

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/sh1322345.09fu
title: SH1322345.09FU

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/sh1322346.09fu
title: SH1322346.09FU

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.