cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25345/c5pf4q
title: MassIVE MSV000085997 - Antennal Proteome of the Fire Ant Solenopsis invicta: Caste Differences in Olfactory Receptors and Chemosensory Support Proteins
title: Files beginning SI1 - SI4 are worker antennae. Files beginning SI_M_1 - SI_M_4 are male antennae. Files beginning SI_L_1 - SI_L_4 are worker tibiae. The numbers 1 - 4 refer to SDS gel segments used in in-gel trypsin digestion. Approximate molecular weight ranges are: 1: 80-400 kDa, 2: 40-80 kDa, 3: 20-40 kDa, 4: 10-20 kDa.
DOI: 10.6084/m9.figshare.12846587
title: AS_EKE

description: The dataset used for EKE study in the Arabian Sea.
DOI: 10.6084/m9.figshare.12846587.v1
title: AS_EKE

description: The dataset used for EKE study in the Arabian Sea.
DOI: 10.25345/c5jr02
title: MassIVE MSV000085998 - Antennal Proteome of the Fire Ant Solenopsis invicta: Caste Differences in Olfactory Receptors and Chemosensory Support Proteins
title: Files SI1 - SI4 are worker antennae. Files SI_M_1 - SI_M_4 are male antennae. Files SI_L_1 - SI_L_4 are worker tibiae. Numbers 1-4 refer to SDS gel segments from in-gel trypsin digestion. Approximate molecular weight ranges: 1: 80-400 kDa, 2: 40-80 kDa, 3: 20-40 kDa, 4: 10-20 kDa
DOI: 10.5281/zenodo.3996190
title: Disputed Archival Claims - 1998 and 2019 Survey Data

description: This dataset comprises a spreadsheet containing the responses to two international surveys about displaced archives. The spreadsheet has two sheets: the first contains data pulled from Leopold Auer's 1998 report on his survey, Disputed Archival Claims, conducted for UNESCO and the International Council on Archives (ICA); the second sheet contains data received by James Lowry for his survey, conducted for the ICA's Expert Group on Shared Archival Heritage in 2018 and 2019, published in 2020. This dataset was compiled by James Lowry, John Moffat and Pauline Soum-Paris. It contains data collected and presented by Leopold Auer (1997/1998). Marianne Deraze contributed to the collection of the 2019 data by posting the survey to the ICA website. The data was contributed by representatives of the countries and organisations making the claims.
DOI: 10.5281/zenodo.3996189
title: Disputed Archival Claims - 1998 and 2019 Survey Data

description: This dataset comprises a spreadsheet containing the responses to two international surveys about displaced archives. The spreadsheet has two sheets: the first contains data pulled from Leopold Auer's 1998 report on his survey, Disputed Archival Claims, conducted for UNESCO and the International Council on Archives (ICA); the second sheet contains data received by James Lowry for his survey, conducted for the ICA's Expert Group on Shared Archival Heritage in 2018 and 2019, published in 2020. This dataset was compiled by James Lowry, John Moffat and Pauline Soum-Paris. It contains data collected and presented by Leopold Auer (1997/1998). Marianne Deraze contributed to the collection of the 2019 data by posting the survey to the ICA website. The data was contributed by representatives of the countries and organisations making the claims.
DOI: 10.5281/zenodo.3986847
title: SC20 VERITAS Source Code and Dataset

description: This repository contains the dataset for the VERITAS work submitted for publication at SC20.
DOI: 10.5281/zenodo.3996229
title: SC20 VERITAS Source Code and Dataset

description: This repository contains the dataset for the VERITAS work submitted for publication at SC20.
DOI: 10.34740/kaggle/dsv/1436249
title: COVID-19 cases by Continent
DOI: 10.5281/zenodo.3996245
title: Seabird species with no diving depth literature

description: List of seabirds with no diving depth / foraging literature
DOI: 10.5281/zenodo.3996244
title: Seabird species with no diving depth literature

description: List of seabirds with no diving depth / foraging literature
DOI: 10.6084/m9.figshare.12840320
title: LMER_output.xlsx

description: Linear mixed effect regression output for: Background insect herbivory increases with local elevation but makes minor contribution to element cycling along natural gradients in the Subarctic.
DOI: 10.6084/m9.figshare.12840134
title: DATA.xlsx

description: The data sheet for the publication titled: Background insect herbivory increases with local elevation but makes minor contribution to element cycling along natural gradients in the Subarctic.
DOI: 10.6084/m9.figshare.12840134.v1
title: DATA.xlsx

description: The data sheet for the publication titled: Background insect herbivory increases with local elevation but makes minor contribution to element cycling along natural gradients in the Subarctic.
DOI: 10.25505/fiz.icsd.cc20qmn1
title: CSD 1868793: Experimental Crystal Structure Determination

description: Related Article: W. Fabiola Sanjuan-Szklarz, Magdalena Woinska, Sławomir Domagala, Paulina M. Dominiak, Simon Grabowsky, Dylan Jayatilaka, Matthias Gutmann and Krzysztof Wozniak|2020|ICSD Communication|||
DOI: 10.25345/c5dx9z
title: MassIVE MSV000085999 - Antennal Proteome of the Fire Ant Solenopsis invicta: Caste Differences in Olfactory Receptors and Chemosensory Support Proteins
title: Files SI1 - SI4 are worker antennae. Files SI_M_1 - SI_M_4 are male antennae. Files SI_L_1 - SI_L_4 are worker tibiae. Numbers 1-4 refer to SDS gel segments from in-gel trypsin digestion. Approximate molecular weight ranges: 1: 80-400 kDa, 2: 40-80 kDa, 3: 20-40 kDa, 4: 10-20 kDa
DOI: 10.5281/zenodo.3996253
title: Data for "A Generalized Mixing Length Closure for Eddy-Diffusivity Mass-Flux Schemes of Turbulence and Convection"

description: This folder contains the data used in the publication: Lopez-Gomez, I., Cohen, Y., He, J., Jaruga, A., Schneider, T., 2020: A Generalized Mixing Length Closure for Eddy-Diffusivity Mass-Flux Schemes of Turbulence and Convection, Journal of Advances in Modeling Earth Systems. If you make use of this data in your work, please cite our paper when doing so.
description: {"references": ["Lopez-Gomez, I., Cohen, Y., He, J., Jaruga, A., Schneider, T., 2020: A Generalized Mixing Length Closure for Eddy-Diffusivity Mass-Flux Schemes of Turbulence and Convection, Journal of Advances in Modeling Earth Systems."]}
DOI: 10.5281/zenodo.3996252
title: Data for "A Generalized Mixing Length Closure for Eddy-Diffusivity Mass-Flux Schemes of Turbulence and Convection"

description: This folder contains the data used in the publication: Lopez-Gomez, I., Cohen, Y., He, J., Jaruga, A., Schneider, T., 2020: A Generalized Mixing Length Closure for Eddy-Diffusivity Mass-Flux Schemes of Turbulence and Convection, Journal of Advances in Modeling Earth Systems. If you make use of this data in your work, please cite our paper when doing so.
description: {"references": ["Lopez-Gomez, I., Cohen, Y., He, J., Jaruga, A., Schneider, T., 2020: A Generalized Mixing Length Closure for Eddy-Diffusivity Mass-Flux Schemes of Turbulence and Convection, Journal of Advances in Modeling Earth Systems."]}
DOI: 10.5517/ccdc.csd.cc1yv9x0
title: CCDC 1812753: Experimental Crystal Structure Determination

description: Related Article: Flora Jozefikova, Lenka Kuckova, Jan Lokaj, Milan Mazur, Jan Moncol|2020|Chem.Papers|74|3727|doi:10.1007/s11696-020-01224-z
DOI: 10.5517/ccdc.csd.cc1yv9y1
title: CCDC 1812754: Experimental Crystal Structure Determination

description: Related Article: Flora Jozefikova, Lenka Kuckova, Jan Lokaj, Milan Mazur, Jan Moncol|2020|Chem.Papers|74|3727|doi:10.1007/s11696-020-01224-z
DOI: 10.5517/ccdc.csd.cc1yv9z2
title: CCDC 1812755: Experimental Crystal Structure Determination

description: Related Article: Flora Jozefikova, Lenka Kuckova, Jan Lokaj, Milan Mazur, Jan Moncol|2020|Chem.Papers|74|3727|doi:10.1007/s11696-020-01224-z
DOI: 10.5517/ccdc.csd.cc1yvb04
title: CCDC 1812756: Experimental Crystal Structure Determination

description: Related Article: Flora Jozefikova, Lenka Kuckova, Jan Lokaj, Milan Mazur, Jan Moncol|2020|Chem.Papers|74|3727|doi:10.1007/s11696-020-01224-z
DOI: 10.5517/ccdc.csd.cc1yvb15
title: CCDC 1812757: Experimental Crystal Structure Determination

description: Related Article: Flora Jozefikova, Lenka Kuckova, Jan Lokaj, Milan Mazur, Jan Moncol|2020|Chem.Papers|74|3727|doi:10.1007/s11696-020-01224-z
DOI: 10.5517/ccdc.csd.cc24269r
title: CCDC 1968323: Experimental Crystal Structure Determination

description: Related Article: Flora Jozefikova, Lenka Kuckova, Jan Lokaj, Milan Mazur, Jan Moncol|2020|Chem.Papers|74|3727|doi:10.1007/s11696-020-01224-z
DOI: 10.5517/ccdc.csd.cc24ht1j
title: CCDC 1981397: Experimental Crystal Structure Determination

description: Related Article: Robert J. Wilson, Florian Weigend, Stefanie Dehnen|2020|Angew.Chem.,Int.Ed.|59|14251|doi:10.1002/anie.202002863
DOI: 10.17638/datacat.liverpool.ac.uk/1142
title: Transport and thermoelectric properties of ‘wire-like’ organometallic complexes
DOI: 10.5281/zenodo.3996289
title: YH-pig

description: This is a recording made by Nathaniel Sims of 杨芝全 <em>Yang Zhiquan, </em>a native speaker of Yonghe Qiang, saying the word for 'pig' in isolation and also within a carrier phrase.
DOI: 10.5281/zenodo.3996288
title: YH-pig

description: This is a recording made by Nathaniel Sims of 杨芝全 <em>Yang Zhiquan, </em>a native speaker of Yonghe Qiang, saying the word for 'pig' in isolation and also within a carrier phrase.
DOI: 10.6084/m9.figshare.3761562.v1582
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.5281/zenodo.3996277
title: Pós-humanismo e pós-humano: revisão sistemática em bases científicas

description: Dados provenientes das bases: Web of Science, Scopus, Scielo, Library, Information Science and Technology Abstracts (LISTA), Information Science and Technology Abstracts (ISTA), Emerald, Base de Dados Referencial de Artigos de Periódicos em Ciência da Informação (BRAPCI) e Base do Encontro Nacional de Pesquisa em Ciência da Informação (BENANCIB), cuja seleção foi realizada no período entre 28 de março a 07 de abril de 2020 pelos pesquisadores Profa. Ma. Adelaide Helena Targino Casimiro e Prof. Dr. Wagner Junqueira de Araújo. Data from the databases: Web of Science, Scopus, Scielo, Library, Information Science and Technology Abstracts (LISTA), Information Science and Technology Abstracts (ISTA), Emerald, Base de Dados Referencial de Artigos de Periódicos em Ciência da Informação (BRAPCI) e Base do Encontro Nacional de Pesquisa em Ciência da Informação (BENANCIB), whose selection was carried out between March 28 to April 7, 2020 by researchers professor Adelaide Helena Targino Casimiro and professor Wagner Junqueira de Araújo.
DOI: 10.5281/zenodo.3996276
title: Pós-humanismo e pós-humano: revisão sistemática em bases científicas

description: Dados provenientes das bases: Web of Science, Scopus, Scielo, Library, Information Science and Technology Abstracts (LISTA), Information Science and Technology Abstracts (ISTA), Emerald, Base de Dados Referencial de Artigos de Periódicos em Ciência da Informação (BRAPCI) e Base do Encontro Nacional de Pesquisa em Ciência da Informação (BENANCIB), cuja seleção foi realizada no período entre 28 de março a 07 de abril de 2020 pelos pesquisadores Profa. Ma. Adelaide Helena Targino Casimiro e Prof. Dr. Wagner Junqueira de Araújo. Data from the databases: Web of Science, Scopus, Scielo, Library, Information Science and Technology Abstracts (LISTA), Information Science and Technology Abstracts (ISTA), Emerald, Base de Dados Referencial de Artigos de Periódicos em Ciência da Informação (BRAPCI) e Base do Encontro Nacional de Pesquisa em Ciência da Informação (BENANCIB), whose selection was carried out between March 28 to April 7, 2020 by researchers professor Adelaide Helena Targino Casimiro and professor Wagner Junqueira de Araújo.
DOI: 10.6084/m9.figshare.12846710
title: Chirgwin_and_Monro_2020.csv

description: Data file for Chirgwin & Monro (2020) Correlational selection on size and development time is inconsistent across early life stages. Evolutionary Ecology.
DOI: 10.6084/m9.figshare.12846710.v1
title: Chirgwin_and_Monro_2020.csv

description: Data file for Chirgwin & Monro (2020) Correlational selection on size and development time is inconsistent across early life stages. Evolutionary Ecology.
DOI: 10.5281/zenodo.3996297
title: Dependability Benchmarking of soft-core processors at different levels of design representation: MC8051, AVR and Microblaze as a case study

description: The dataset contains the results of fault injection experiments carried out for dependability benchmarking of three soft-core processors (MC8051, AVR, Microblaze) at three design representation levels: Register-transfer level (RTL) HDL model; Implementation-level HDL model (defined in the basis of Xilinx simprim library); Level of FPGA prototype (Xilinx Zynq XC7Z020); Fault injection experiments have been carried out by means of DAVOS toolkit (https://github.com/IlyaTuzov/DAVOS). Installation guide is attached (readme.pdf in the package root directory).
DOI: 10.5281/zenodo.3996296
title: Dependability Benchmarking of soft-core processors at different levels of design representation: MC8051, AVR and Microblaze as a case study

description: The dataset contains the results of fault injection experiments carried out for dependability benchmarking of three soft-core processors (MC8051, AVR, Microblaze) at three design representation levels: Register-transfer level (RTL) HDL model; Implementation-level HDL model (defined in the basis of Xilinx simprim library); Level of FPGA prototype (Xilinx Zynq XC7Z020); Fault injection experiments have been carried out by means of DAVOS toolkit (https://github.com/IlyaTuzov/DAVOS). Installation guide is attached (readme.pdf in the package root directory).
DOI: 10.6084/m9.figshare.12846116
title: R0187_20171001a_videos

description: Rat 0187, skilled reaching data collected on 10/1/2017 in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.12846116.v1
title: R0187_20171001a_videos

description: Rat 0187, skilled reaching data collected on 10/1/2017 in Leventhal laboratory by Alexandra Bova
DOI: 10.5281/zenodo.3996308
title: Data and Software accompanying "Slope-aspect induced climate differences influence how water is exchanged between the land and atmosphere", submitted to JGR: Biogeosciences August 2020

description: This is a collection of all of the data files and python notebooks used in creating the manuscript "Slope-aspect induced climate differences influence how water is exchanged between the land and atmosphere", submitted to JGR: Biogeosciences August 2020.
DOI: 10.5281/zenodo.3996307
title: Data and Software accompanying "Slope-aspect induced climate differences influence how water is exchanged between the land and atmosphere", submitted to JGR: Biogeosciences August 2020

description: This is a collection of all of the data files and python notebooks used in creating the manuscript "Slope-aspect induced climate differences influence how water is exchanged between the land and atmosphere", submitted to JGR: Biogeosciences August 2020.
DOI: 10.6084/m9.figshare.12846764
title: Historic Elevation Map of West Virginia

description: This DEM dataset comes from Ross et al., 2016 (ES&T) and represents a pre-mining DEM for much of west-virginia. The majority of the map was generated before 1970. <br>
DOI: 10.6084/m9.figshare.12846764.v1
title: Historic Elevation Map of West Virginia

description: This DEM dataset comes from Ross et al., 2016 (ES&T) and represents a pre-mining DEM for much of west-virginia. The majority of the map was generated before 1970. <br>
DOI: 10.6073/pasta/8fc31a66616931d14dd3ff55d2c46d64
title: Hourly water temperature from the San Francisco Estuary, 1986 - 2019

description: Projected temperature increases due to global climate change are likely to have localized impacts on the San Francisco Estuary (SFE). Increased water temperature in the SFE will lead to challenges for managing water resources. Many native species, such as salmon and smelt, rely on cooler water, and will be further stressed by increased water temperature. While real-time water temperature is collected by several state and federal agencies in the San Francisco Estuary, a landscape-scale synthesis of available water temperature data has not been conducted for the SFE. For this dataset, we compiled continuous water temperature data and associated metadata from the SFE to generate an integrated and usable dataset of known quality for climate and ecological analysis. Data were obtained from the California Data Exchange Center (CDEC; https://cdec.water.ca.gov/) for consistency (data are untreated) and efficiency (existing code to download data directly from CDEC). Data were integrated and standardized to hourly water temperature data in degrees Celsius. A series of quality control (QC) checks were then applied in a consistent manner to all stations. Datasets included in this package include raw hourly data, flagged data, and filtered data (where flagged data are removed). Additionally, information regarding current and historical sensors used for water temperature data collection was obtained from station managers for each station, and compiled in a metadata table.
DOI: 10.6084/m9.figshare.12846791
title: Process domain watershed outlines

description: This data is the 10 watershed outlines from Ross and Jaeger (insert citation here)<br>
DOI: 10.6084/m9.figshare.12846791.v1
title: Process domain watershed outlines

description: This data is the 10 watershed outlines from Ross and Jaeger (insert citation here)<br>
DOI: 10.6084/m9.figshare.12846110
title: R0186_20170825a_videos

description: Rat 0186, skilled reaching data collected on 8/25/2017 in Leventhal laboratory by Alexandra Bova
DOI: 10.5281/zenodo.3996370
title: NuSeT training dataset/model weights from (NuSeT: A Deep Learning Tool for Reliably Separating and Analyzing Crowded Cells)

description: This is the Full NuSeT training dataset and model training weights used in paper: NuSeT: A Deep Learning Tool for Reliably Separating and Analyzing Crowded Cells https://www.biorxiv.org/content/10.1101/749754v1 (doi 10.1371/journal.pcbi.1008193), part of the training data comes from https://www.kaggle.com/c/data-science-bowl-2018
description: {"references": ["Booz Allen Hamilton. 2018 Data Science Bowl. Kaggle"]}
DOI: 10.6084/m9.figshare.12846110.v1
title: R0186_20170825a_videos

description: Rat 0186, skilled reaching data collected on 8/25/2017 in Leventhal laboratory by Alexandra Bova
DOI: 10.25919/5f41ee17a2da7
title: Parkes observations for project P958 semester 2020APRS_29

description: Fast radio bursts (FRBs) continue to raise more questions than they answer. Until last year, only one burst – the only one known to repeat - had been localized to a bright radio nebula (either a young supernova remnant or pulsar wind nebulae) in a distant dwarf galaxy. Over the last three years searches with the Australian Square Kilometre Array Pathfinder (ASKAP) have detected 35 bursts, eight of which have been localised to host galaxies at redshifts ranging from 0.1 to 0.5. These bursts and their hosts are very unlike the repeater, suggesting there may be a dichotomy in the population. However one of the arcminute-localised ASKAP FRBs has recently been found to repeat. Here we propose to search and study repetitions in this FRB population. Our comprehensive sample and a dense monitoring campaign of well localised bursts, at a fluence limit more than 60 times lower than that of their detections to characterise the fraction of bursts that repeat. For bursts that repeat the unique wide bandwidth observations will be used to test leading models of burst emission.
DOI: 10.5517/ccdc.csd.cc1my3f3
title: CCDC 1517525: Experimental Crystal Structure Determination

description: Related Article: Althaf Shaik, Parimaladevi Palaniswamy, Vijay Thiruvenkatam|2021|J.Mol.Struct.|1224|129040|doi:10.1016/j.molstruc.2020.129040
DOI: 10.5517/ccdc.csd.cc1my3g4
title: CCDC 1517526: Experimental Crystal Structure Determination

description: Related Article: Althaf Shaik, Parimaladevi Palaniswamy, Vijay Thiruvenkatam|2021|J.Mol.Struct.|1224|129040|doi:10.1016/j.molstruc.2020.129040
DOI: 10.5517/ccdc.csd.cc1pc158
title: CCDC 1559739: Experimental Crystal Structure Determination

description: Related Article: Althaf Shaik, Parimaladevi Palaniswamy, Vijay Thiruvenkatam|2021|J.Mol.Struct.|1224|129040|doi:10.1016/j.molstruc.2020.129040
DOI: 10.17632/msy7k3myrx.1
title: Data for: A Sensitive Quantitative Analysis of Abiotically Synthesized Short Homopeptides using Ultraperformance Liquid Chromatography and Time-of-Flight Mass Spectrometry

description: A Sensitive Quantitative Analysis of Abiotically Synthesized Short Homopeptides using Ultraperformance Liquid Chromatography and Time-of-Flight Mass Spectrometry
DOI: 10.17632/ckwj4tcgxh.1
title: Data for: Occurrence and Origin of Groundwater Methane in the Stellarton Basin, Nova Scotia

description: This is the master dataset from our study which includes dissolved gas concentrations and geochemical parameters from water and coal samples collected.
DOI: 10.34740/kaggle/dsv/1436824
title: Japanese Property URLs
DOI: 10.34740/kaggle/dsv/1436555
title: Melbourne UV 2019
DOI: 10.6073/pasta/261626a516f84eef64120b2a2d624f30
title: McMurdo Dry Valleys Howard Glacier Meteorological Station Measurements
DOI: 10.6073/pasta/a6ac11e4f8a552db3c744605b8a47e9a
title: Water flow velocity data, Shark River Slough (SRS) near Chekika tree island, Everglades National Park (FCE) from January 2006 to Present
DOI: 10.6073/pasta/c2c02d4dd51780d59c64c84c3215a2d3
title: McMurdo Dry Valleys Taylor Glacier Meteorological Station Measurements
DOI: 10.5281/zenodo.3996436
title: Endless Foram, MD022508 and MD9712138 training datasets

description: Training datasets for the paper "Automated analysis of foraminifera fossil records by image classification using a convolutional neural network" The Endless Forams dataset is a derivative work, and was created from the original dataset (endlessforams.org, https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019PA003612) by removing the text and border from each image.
DOI: 10.5281/zenodo.3996435
title: Endless Foram, MD022508 and MD9712138 training datasets

description: Training datasets for the paper "Automated analysis of foraminifera fossil records by image classification using a convolutional neural network" The Endless Forams dataset is a derivative work, and was created from the original dataset (endlessforams.org, https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019PA003612) by removing the text and border from each image.
DOI: 10.6084/m9.figshare.12841304
title: Characterization of pore structure of a coal matrix

description: By employing Voronoi diagrams, we develop a dual-porosity coupling algorithm to describe the original complexity, and set up a mathematical framework to characterize the complexity assembly in fractal dual-porosity media. For modeling demonstration, we select some typical coal samples from different reservoirs in China, extract the scale-invariance parameters and establish fractal topography based on mercury intrusion porosimetry (MIP) and N2 adsorption data. Using experimental tests, mathematical derivation and numerical simulations in combination, we reveal the principle and methodology for the characterization of the complexity assembly in a coal matrix.
DOI: 10.6084/m9.figshare.12841304.v2
title: Characterization of pore structure of a coal matrix

description: By employing Voronoi diagrams, we develop a dual-porosity coupling algorithm to describe the original complexity, and set up a mathematical framework to characterize the complexity assembly in fractal dual-porosity media. For modeling demonstration, we select some typical coal samples from different reservoirs in China, extract the scale-invariance parameters and establish fractal topography based on mercury intrusion porosimetry (MIP) and N2 adsorption data. Using experimental tests, mathematical derivation and numerical simulations in combination, we reveal the principle and methodology for the characterization of the complexity assembly in a coal matrix.