cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.4712230
title: hands_run1_R2

description: Sequence data from: "Comparison of Methods for Evaluation of Hygiene Effects on the Hand Microbiome: Standard Culture-Based versus Culture-Independent Methods."
DOI: 10.6084/m9.figshare.4712230.v1
title: hands_run1_R2

description: Sequence data from: "Comparison of Methods for Evaluation of Hygiene Effects on the Hand Microbiome: Standard Culture-Based versus Culture-Independent Methods."
DOI: 10.6084/m9.figshare.4712215
title: hands_run1_R1

description: Sequence data from: "Comparison of Methods for Evaluation of Hygiene Effects on the Hand Microbiome: Standard Culture-Based versus Culture-Independent Methods."
DOI: 10.6084/m9.figshare.4712215.v1
title: hands_run1_R1

description: Sequence data from: "Comparison of Methods for Evaluation of Hygiene Effects on the Hand Microbiome: Standard Culture-Based versus Culture-Independent Methods."
DOI: 10.6084/m9.figshare.4712182
title: hands_run2_I1

description: Sequence data from: "Comparison of Methods for Evaluation of Hygiene Effects on the Hand Microbiome: Standard Culture-Based versus Culture-Independent Methods."
DOI: 10.6084/m9.figshare.4712182.v1
title: hands_run2_I1

description: Sequence data from: "Comparison of Methods for Evaluation of Hygiene Effects on the Hand Microbiome: Standard Culture-Based versus Culture-Independent Methods."
DOI: 10.6084/m9.figshare.4712155
title: hands_run2_R2

description: Sequence data from: "Comparison of Methods for Evaluation of Hygiene Effects on the Hand Microbiome: Standard Culture-Based versus Culture-Independent Methods."
DOI: 10.6084/m9.figshare.4712155.v1
title: hands_run2_R2

description: Sequence data from: "Comparison of Methods for Evaluation of Hygiene Effects on the Hand Microbiome: Standard Culture-Based versus Culture-Independent Methods."
DOI: 10.6084/m9.figshare.4712125
title: hands_run2_R1

description: Sequence data from: "Comparison of Methods for Evaluation of Hygiene Effects on the Hand Microbiome: Standard Culture-Based versus Culture-Independent Methods."
DOI: 10.6084/m9.figshare.4712125.v1
title: hands_run2_R1

description: Sequence data from: "Comparison of Methods for Evaluation of Hygiene Effects on the Hand Microbiome: Standard Culture-Based versus Culture-Independent Methods."
DOI: 10.6084/m9.figshare.4711804
title: The difference in V̇O2, and muscle and prefrontal cortex tissue oxygen extraction between short and long-term aerobically trained men aged 40 - 60 years

description: This data set contains individual participant data, for each dependent variable for the oxygenation study on 40-60 year-old men.
DOI: 10.6084/m9.figshare.4711804.v2
title: The difference in V̇O2, and muscle and prefrontal cortex tissue oxygen extraction between short and long-term aerobically trained men aged 40 - 60 years

description: This data set contains individual participant data, for each dependent variable for the oxygenation study on 40-60 year-old men.
DOI: 10.6084/m9.figshare.4711804.v1
title: The effect of short and long term endurance training status on systemic, and muscle and prefrontal cortex tissue, oxygen utilisation in 40-60 year-old men

description: This data set contains individual participant data, for each dependent variable for the oxygenation study on 40-60 year-old men.
DOI: 10.15468/v85g5s
title: Review of the scorpionfly genus Dicerapanorpa Zhong & Hua (Mecoptera: Panorpidae), with descriptions of two new species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Hua, Bao-Zhen (2020): Review of the scorpionfly genus Dicerapanorpa Zhong & Hua (Mecoptera: Panorpidae), with descriptions of two new species. European Journal of Taxonomy 711: 1-13, DOI: https://doi.org/10.5852/ejt.2020.711
DOI: 10.6084/m9.figshare.4711333
title: Bead-Mediated Separation of Particles in Droplets

description: Data set for PLOS ONE paper Bead-Mediated Separation of Particles in Droplets. Data included in this file are for Figure 3, Figure 4, Figure 5, and Figure 6.
DOI: 10.6084/m9.figshare.4711360
title: Forest cover change data from 2000 to 2013 in China from multiple satellite data

description: <b>Source of remote sensing-based forest cover change datasets: </b>(1) MODIS NBR (2000-2013. modisnbr, 2000-2013)<br>(2) MODIS land cover (LC) (modislc, 2000-2012)(3) MODIS vegetation continuous field (modisvcf, 2000-2013)(4) Global forest change (gfc, 2000-2012)<br><b>File Description: </b>1. Figure files from the paper (7 figures). <br>2. The 5km forest gain and loss (aggregated from 500m) . Format: netcdf. Unit: percentage.Example: xxxxx_entireChina_5km.nc<br>3. The 500m forest gain and loss and mainland China mask.Format: geotiff. Unit: binary or percentage. MODIS sinusoidal projection.Example: xxxxx_entireChina_sinusoid_500m.zip <br>More information about the data can be found in the paper:Li et al. Inconsistent estimates of forest cover change in China between 2000 and 2013 from multiple datasets: differences in parameters, spatial resolution, and definitions. 2017, Scientific Reports, 7, 8748, doi:10.1038/s41598-017-07732-5<br>Correspondence: Yan Li, yanli.geo@gmail.com
DOI: 10.6084/m9.figshare.4711333.v1
title: Bead-Mediated Separation of Particles in Droplets

description: Data set for PLOS ONE paper Bead-Mediated Separation of Particles in Droplets. Data included in this file are for Figure 3, Figure 4, Figure 5, and Figure 6.
DOI: 10.6084/m9.figshare.4711279
title: Malawi 2015 Knowledgeable Informants Survey

description: This dataset provides estimates from 115 respondents who are knowledgeable about the conditions of induced abortion provision in Malawi. For each residential (urban or rural) and poverty (poor and nonpoor) group, respondents gave estimates about the share of abortions performed by various types of providers; the proportion from each provider that will result in complications; and the proportion of women who will seek treatment for her complications. <br>The methods we used to analyze these data are described in detail in the forthcoming article in PLOS One.
DOI: 10.6084/m9.figshare.4711273
title: Malawi 2015 Health Facilities Survey

description: This dataset contains estimates of the number of postabortion care (PAC) cases treated annually, from a nationally representative sample of health facilities in Malawi. It also includes the facility type, ownership, finite population correction factor, and regional weights.
DOI: 10.6084/m9.figshare.4711246
title: Differential cytotoxic and inflammatory potency of amorphous silicon dioxide nanoparticles of similar size in multiple cell lines

description: The likelihood of environmental and health impacts of silicon dioxide nanoparticles (SiNPs) has risen, due to their increased use in products and applications. The biological potency of a set of similarly-sized amorphous SiNPs was investigated in a variety of cells to examine the influence of physico-chemical and biological factors on their toxicity. Cellular LDH and ATP, BrdU incorporation, resazurin reduction and cytokine release were measured in human epithelial A549, human THP-1 and mouse J774A.1 macrophage cells exposed for 24 h to suspensions of 5–15, 10–20 and 12 nm SiNPs and reference particles. The SiNPs were characterized in dry state and in suspension to determine their physico-chemical properties. The dose-response data were simplified into particle potency estimates to facilitate the comparison of multiple endpoints of biological effects in cells. Mouse macrophages were the most sensitive to SiNP exposures. Cytotoxicity of the individual cell lines was correlated while the cytokine responses differed, supported by cell type-specific differences in inflammation-associated pathways. SiNP (12 nm), the most cytotoxic and inflammogenic nanoparticle had the highest surface acidity, dry-state agglomerate size, the lowest trace metal and organics content, the smallest surface area and agglomerate size in suspension. Particle surface acidity appeared to be the most significant determinant of the overall biological activity of this set of nanoparticles. Combined with the nanoparticle characterization, integration of the biological potency estimates enabled a comprehensive determination of the cellular reactivity of the SiNPs. The approach shows promise as a useful tool for first-tier screening of SiNP toxicity.
DOI: 10.6084/m9.figshare.4711279.v1
title: Malawi 2015 Knowledgeable Informants Survey

description: This dataset provides estimates from 115 respondents who are knowledgeable about the conditions of induced abortion provision in Malawi. For each residential (urban or rural) and poverty (poor and nonpoor) group, respondents gave estimates about the share of abortions performed by various types of providers; the proportion from each provider that will result in complications; and the proportion of women who will seek treatment for her complications. <br>The methods we used to analyze these data are described in detail in the forthcoming article in PLOS One.
DOI: 10.6084/m9.figshare.4711246.v1
title: Differential cytotoxic and inflammatory potency of amorphous silicon dioxide nanoparticles of similar size in multiple cell lines

description: The likelihood of environmental and health impacts of silicon dioxide nanoparticles (SiNPs) has risen, due to their increased use in products and applications. The biological potency of a set of similarly-sized amorphous SiNPs was investigated in a variety of cells to examine the influence of physico-chemical and biological factors on their toxicity. Cellular LDH and ATP, BrdU incorporation, resazurin reduction and cytokine release were measured in human epithelial A549, human THP-1 and mouse J774A.1 macrophage cells exposed for 24 h to suspensions of 5–15, 10–20 and 12 nm SiNPs and reference particles. The SiNPs were characterized in dry state and in suspension to determine their physico-chemical properties. The dose-response data were simplified into particle potency estimates to facilitate the comparison of multiple endpoints of biological effects in cells. Mouse macrophages were the most sensitive to SiNP exposures. Cytotoxicity of the individual cell lines was correlated while the cytokine responses differed, supported by cell type-specific differences in inflammation-associated pathways. SiNP (12 nm), the most cytotoxic and inflammogenic nanoparticle had the highest surface acidity, dry-state agglomerate size, the lowest trace metal and organics content, the smallest surface area and agglomerate size in suspension. Particle surface acidity appeared to be the most significant determinant of the overall biological activity of this set of nanoparticles. Combined with the nanoparticle characterization, integration of the biological potency estimates enabled a comprehensive determination of the cellular reactivity of the SiNPs. The approach shows promise as a useful tool for first-tier screening of SiNP toxicity.
DOI: 10.6084/m9.figshare.4711231
title: LakeMendota_Ananke.h5

description: HDF5 file for use with Ananke-UI (https://github.com/beiko-lab/ananke-ui). Contains time-series clusters of 16S rRNA gene abundances from freshwater lake samples sampled over eleven years, as well as taxonomic classifications and sequence identity-based clusters.
DOI: 10.6084/m9.figshare.4710439
title: Ecosystem type and resource quality are more important than global change drivers in regulating early stages of litter decomposition

description: Data set and metadata from "Ecosystem type and resource quality are more important than global change drivers in regulating early stages of litter decomposition" published in Soil Biology and Biochemistry. doi: 10.1016/j.soilbio.2018.11.009
DOI: 10.6084/m9.figshare.4710364
title: Data from "Soil fungal abundance and plant functional traits drive fertile island formation in global drylands"

description: Data from "Raúl Ochoa-Hueso, David J. Eldridge, Manuel Delgado-Baquerizo, Santiago Soliveres, Matthew A. Bowker, Nicolas Gross, Yoann Le Bagousse-Pinguet, José L. Quero, Miguel García-Gómez, Enrique Valencia, Tulio Arredondo, Laura Beinticinco, Donaldo Bran, Alex Cea, Daniel Coaguila, Andrew J. Dougill, Carlos I. Espinosa, Juan Gaitán, Reginald T. Guuroh, Elizabeth Guzman, Julio R. Gutiérrez, Rosa M. Hernández, Elisabeth Huber-Sannwald, Thomas Jeffries, Anja Linstädter, Rebecca L. Mau, Jorge Monerris, Aníbal Prina, Eduardo Pucheta, Ilan Stavi, Andrew D. Thomas, Eli Zaady, Brajesh K. Singh & Fernando T. Maestre. Soil fungal abundance and plant functional traits drive fertile island formation in global drylands. Journal of Ecology, DOI: 10.1111/1365-2745.12871<br>There are three items with data associated with the three scales evaluated: (1) all sites at the plot level (model1JEcol_1); (2) all sites at the focal plant level (functional trait data; model2JEcol_1); (3) subset of sites for which there was microbial data available (model3JEcol_1). There is also a Metadata file that provides information for the three previously described datasets.
DOI: 10.6084/m9.figshare.4710439.v1
title: Ecosystem type and resource quality are more important than global change drivers in regulating early stages of litter decomposition

description: Data set and metadata from "Ecosystem type and resource quality are more important than global change drivers in regulating early stages of litter decomposition" published in Soil Biology and Biochemistry. doi: 10.1016/j.soilbio.2018.11.009
DOI: 10.6084/m9.figshare.4711231.v2
title: LakeMendota_Ananke.h5

description: HDF5 file for use with Ananke-UI (https://github.com/beiko-lab/ananke-ui). Contains time-series clusters of 16S rRNA gene abundances from freshwater lake samples sampled over eleven years, as well as taxonomic classifications and sequence identity-based clusters.
DOI: 10.6084/m9.figshare.4709023
title: NNPSMP_survey dataset

description: This is the dataset used to run models included in analysis for publication.<br>
DOI: 10.6084/m9.figshare.4711231.v1
title: LakeMendota_Ananke.h5

description: HDF5 file for use with Ananke-UI (https://github.com/beiko-lab/ananke-ui). Contains time-series clusters of 16S rRNA gene abundances from freshwater lake samples sampled over eleven years, as well as taxonomic classifications and sequence identity-based clusters.
DOI: 10.6084/m9.figshare.4708627
title: Anatomical network analysis of the musculoskeletal system reveals integration loss and parcellation boost during the fins-to-limbs transition

description: Data underlying and supporting publication: <i>"</i><i>Anatomical network analysis of the musculoskeletal system reveals integration loss and parcellation boost during the fins-to-limbs transition."</i><br>Includes:- Dataset of anatomical networks- Calibrated tree<br>- R scripts
DOI: 10.6084/m9.figshare.4708606
title: Allen, McCright, and Dietz Data

description: This is survey data from a convenience sample across the US for testing a newly created instrument to measure identification with different social movements.
DOI: 10.6084/m9.figshare.4708627.v1
title: Anatomical network analysis of the musculoskeletal system reveals integration loss and parcellation boost during the fins-to-limbs transition

description: Data underlying and supporting publication: <i>"</i><i>Anatomical network analysis of the musculoskeletal system reveals integration loss and parcellation boost during the fins-to-limbs transition."</i><br>Includes:- Dataset of anatomical networks- Calibrated tree<br>- R scripts
DOI: 10.6084/m9.figshare.4708606.v1
title: Allen, McCright, and Dietz Data

description: This is survey data from a convenience sample across the US for testing a newly created instrument to measure identification with different social movements.
DOI: 10.6084/m9.figshare.4708135
title: Benchmarks (SMT vs CSP)

description: The set of workflow nets and modal specifications, splitted into 5 different benchmarks, along with the results.
DOI: 10.6084/m9.figshare.4707700
title: File co-modification network, RxJava

description: Edge list of the file co-modification network for the RxJava software package, with edges (files appearing in the same commit) and number of sequence where they appear. <br>
DOI: 10.6084/m9.figshare.4708135.v2
title: Benchmarks (SMT vs CSP)

description: The set of workflow nets and modal specifications, splitted into 5 different benchmarks, along with the results.
DOI: 10.5281/zenodo.3989931
title: Oxia Planum: THEMIS and CRISM Spectral and Visual Datasets

description: Imagery and data used for analysis for geological and thermal characterization of Oxia Planum seen in "Geologic and Thermal Characterization of Oxia Planum using Mars Odyssey THEMIS Data" (C.E. Gary-Bicas and A.D. Rogers). Amongst the datasets there are THEMIS (Thermal Emission Imaging System) image stamps "oxia_THEMIS_images.zip" which contains atmospherically corrected and geo-referenced emissivity cubes, CRISM (Compact Reconnaissance Imaging Spectrometer for Mars) image stamp frt00009a16_07_if166l_trr3 (includes atmospheric correction, de-striping, and projection steps). Regions of Interest (ROIs) correspond to analyzed locations to geologic units classified in manuscript (files ending with .roi). ROI files starting with the letter "I" are associated to THEMIS stamps."units.roi" is associated to CRISM stamp within these ROIs there is a denominator spectra for correction. ROI files can be opened with HARRIS ENVI. The ".txt" files are mean spectra output files from the ROIs with spectral data for both CRISM (9a16_.txt, these are ratioed spectra using denominator) and THEMIS (####.txt where the numbers are the last 4 digits of the Stamp ID). There are 2 mineral library files corresponding to spectral libraries for each instrument. "CRISMmin.txt" corresponds to CRISM library data and "comparison_lib_themisres.hdf" to THEMIS data. There are four THEMIS thermal inertia datasets extracted from a THEMIS thermal inertia stamp and divided by the different geologic units classified in paper (####_TI.csv).
DOI: 10.6084/m9.figshare.4707559
title: 4 - seqs_bats_hot_all_final_SmallGenome_ITS_from_genomes_algn.fasta

description: Multi-alignment of all HOT and BATS single cell ITS sequences that were used to build the trees and heatmaps in Fig. 1. <br>
DOI: 10.6084/m9.figshare.4707700.v1
title: File co-modification network, RxJava

description: Edge list of the file co-modification network for the RxJava software package, with edges (files appearing in the same commit) and number of sequence where they appear. <br>
DOI: 10.6084/m9.figshare.4707550
title: 2- BATS_ITS_to_MDA_mapping_final.xls

description: This file maps between the ITS sequence name and the MDA sequence name.<br>ITS sequence names are described by their well in the ITS sanger sequencing plates (96-well plates)<br>MDA sequence names are described by their well in the MDA reactions plates (384-well plates)<br><br>ITS sequence name format for BATS sequences is as follows:<br><br><br><br>for example: <br><br>&gt;B245a_520_F02_p18<br><br>i.e. BATS cruise 245a, MDA plate 520, ITS plate 18 well F02.<br>To find the relavant MDA well use the mapping file ITS_to_MDA_mapping_final.xls<br>In this example the MDA well is thus plate 520 well O2.
DOI: 10.6084/m9.figshare.4707556
title: 3 - seqs_hot_all_final_SmallGenome_ITS.fasta

description: All 2209 HOT and BATS single cell ITS sequences that were used in the study.
DOI: 10.6084/m9.figshare.4707559.v1
title: 4 - seqs_bats_hot_all_final_SmallGenome_ITS_from_genomes_algn.fasta

description: Multi-alignment of all HOT and BATS single cell ITS sequences that were used to build the trees and heatmaps in Fig. 1. <br>
DOI: 10.6084/m9.figshare.4707553
title: 1- HOT_ITS_to_MDA_mapping_final.xls

description: This file maps between the ITS sequence name and the MDA sequence name.<br>ITS sequence names are described by their well in the ITS sanger sequencing plates (96-well plates)<br>MDA sequence names are described by their well in the MDA reactions plates (384-well plates)<br><br>ITS sequence name format for BATS sequences is as follows:<br><br><br><br><br>for example: <br><br>&gt;H212_100m_598_G08<br><br>i.e. HOT cruise 212 100m depth sample, ITS plate that end with "598" (the 6 digit number in either column 1 or column 2), well G08.<br>To find the relavant MDA well use the mapping file ITS_to_MDA_mapping_final.xls<br>In this example the MDA well is thus plate 818 well L22.
DOI: 10.6084/m9.figshare.4707556.v1
title: 3 - seqs_hot_all_final_SmallGenome_ITS.fasta

description: All 2209 HOT and BATS single cell ITS sequences that were used in the study.
DOI: 10.6084/m9.figshare.4707532
title: Case Classification Data from Characterizing risk of Ebola transmission based on frequency and type of case–contact exposures

description: Active surveillance teams in Montserrado County, Liberia, identified suspected, probable, and confirmed Ebola cases and conducted interviews to assess symptoms and potential transmission sources.
DOI: 10.6084/m9.figshare.4707550.v1
title: 2- BATS_ITS_to_MDA_mapping_final.xls

description: This file maps between the ITS sequence name and the MDA sequence name.<br>ITS sequence names are described by their well in the ITS sanger sequencing plates (96-well plates)<br>MDA sequence names are described by their well in the MDA reactions plates (384-well plates)<br><br>ITS sequence name format for BATS sequences is as follows:<br><br><br><br>for example: <br><br>&gt;B245a_520_F02_p18<br><br>i.e. BATS cruise 245a, MDA plate 520, ITS plate 18 well F02.<br>To find the relavant MDA well use the mapping file ITS_to_MDA_mapping_final.xls<br>In this example the MDA well is thus plate 520 well O2.
DOI: 10.6084/m9.figshare.4707553.v1
title: 1- HOT_ITS_to_MDA_mapping_final.xls

description: This file maps between the ITS sequence name and the MDA sequence name.<br>ITS sequence names are described by their well in the ITS sanger sequencing plates (96-well plates)<br>MDA sequence names are described by their well in the MDA reactions plates (384-well plates)<br><br>ITS sequence name format for BATS sequences is as follows:<br><br><br><br><br>for example: <br><br>&gt;H212_100m_598_G08<br><br>i.e. HOT cruise 212 100m depth sample, ITS plate that end with "598" (the 6 digit number in either column 1 or column 2), well G08.<br>To find the relavant MDA well use the mapping file ITS_to_MDA_mapping_final.xls<br>In this example the MDA well is thus plate 818 well L22.
DOI: 10.6084/m9.figshare.4707532.v1
title: Case Classification Data from Characterizing risk of Ebola transmission based on frequency and type of case–contact exposures

description: Active surveillance teams in Montserrado County, Liberia, identified suspected, probable, and confirmed Ebola cases and conducted interviews to assess symptoms and potential transmission sources.
DOI: 10.6084/m9.figshare.4707520
title: Contact Tracing Data from Characterizing risk of Ebola transmission based on frequency and type of case–contact exposures

description: Contact tracing efforts in Montserrado County, Liberia, provided information on cases and individuals with whom they were in contact since symptom onset.
DOI: 10.6084/m9.figshare.4707520.v1
title: Contact Tracing Data from Characterizing risk of Ebola transmission based on frequency and type of case–contact exposures

description: Contact tracing efforts in Montserrado County, Liberia, provided information on cases and individuals with whom they were in contact since symptom onset.