cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3374013
title: Non-equilibrium fractionation during ice cloud formation in iCAM5: evaluating the common parameterization of supersaturation as a linear function of temperature

description: This archive includes data and python scripts to create the figures in Duetsch, M., Blossey, P. N., Steig, E. J., and Nusbaumer, J. M. (2019). Non-equilibrium fractionation during ice cloud formation in iCAM5: evaluating the common parameterization of supersaturation as a linear function of temperature. Submitted to J. Adv. Model. Earth Sy. <strong>Model</strong> Model output data are saved in model.tar.gz For all simulations, monthly averages of the following variables are saved in h0 files (used for Figures 3, 6, 8, 9):<br> T: temperature (Si_real simulations only)<br> PS: surface pressure (Si_real simulations only)<br> U: zonal wind (Si_real simulations only)<br> V: meridional wind (Si_real simulations only)<br> LANDFRAC: fraction of surface area covered by land<br> PRECT_H2O: total precipitation rate for H2O<br> PRECT_HDO: total precipitation rate for HDO<br> PRECT_H218O: total precipitation rate for H218O<br> H2OV: H2O mixing ratio for vapor<br> HDOV: HDO mixing ratio for vapor<br> H218OV: H218O mixing ratio for vapor<br> H2OI: H2O mixing ratio for cloud ice<br> HDOI: HDO mixing ratio for cloud ice<br> H218OI: H218O mixing ratio for cloud ice<br> H2OL: H2O mixing ratio for cloud liquid<br> HDOL: HDO mixing ratio for cloud liquid<br> H218OL: H218O mixing ratio for cloud liquid For the control and Si_real microphysical sensitivity simulations, 6-hourly averages of the following variables are saved in h1 files (used for Figures 4, 5, 7):<br> PRECL_H2O: Large-scale precipitation rate for H2O (Si_real simulations only)<br> PRECL_HDO: Large-scale precipitation rate for HDO<br> PRECL_H218O: Large-scale precipitation rate for H218O<br> PRECL_SAT: Large-scale precipitation rate for Si tracer (Si_real simulations only)<br> PRECL_TMP: Large-scale precipitation rate for T tracer (Si_real simulations only)<br> PRECL_RVD: Large-scale precipitation rate for R^D tracer<br> PRECL_RVO: Large-scale precipitation rate for R^18O tracer To limit the size of the data set, only the first 5 years of the simulations are saved. <strong>Measurements</strong> Ice core measurements for present-day climate and last glacial maximum are saved in icecores_PD.txt and icecores_LGM.txt, respectively. LGM values are averaged from 19000 BCE to 16000 BCE, PD values are averaged from 1000 BCE to 2000 CE. Antarctic surface snow measurements from Masson-Delmotte et al. (2008) are available at https://doi.org/10.1594/PANGAEA.681697 <strong>Python scripts</strong> Scripts run with python 3.6 Required packages:<br> - numpy<br> - matplotlib<br> - netCDF4<br> - datetime<br> - Basemap<br> - copy<br> - intergrid<br> - cmocean
DOI: 10.5281/zenodo.3374014
title: Non-equilibrium fractionation during ice cloud formation in iCAM5: evaluating the common parameterization of supersaturation as a linear function of temperature

description: This archive includes data and python scripts to create the figures in Duetsch, M., Blossey, P. N., Steig, E. J., and Nusbaumer, J. M. (2019). Non-equilibrium fractionation during ice cloud formation in iCAM5: evaluating the common parameterization of supersaturation as a linear function of temperature. Submitted to J. Adv. Model. Earth Sy. <strong>Model</strong> Model output data are saved in model.tar.gz For all simulations, monthly averages of the following variables are saved in h0 files (used for Figures 3, 6, 8, 9):<br> T: temperature (Si_real simulations only)<br> PS: surface pressure (Si_real simulations only)<br> U: zonal wind (Si_real simulations only)<br> V: meridional wind (Si_real simulations only)<br> LANDFRAC: fraction of surface area covered by land<br> PRECT_H2O: total precipitation rate for H2O<br> PRECT_HDO: total precipitation rate for HDO<br> PRECT_H218O: total precipitation rate for H218O<br> H2OV: H2O mixing ratio for vapor<br> HDOV: HDO mixing ratio for vapor<br> H218OV: H218O mixing ratio for vapor<br> H2OI: H2O mixing ratio for cloud ice<br> HDOI: HDO mixing ratio for cloud ice<br> H218OI: H218O mixing ratio for cloud ice<br> H2OL: H2O mixing ratio for cloud liquid<br> HDOL: HDO mixing ratio for cloud liquid<br> H218OL: H218O mixing ratio for cloud liquid For the control and Si_real microphysical sensitivity simulations, 6-hourly averages of the following variables are saved in h1 files (used for Figures 4, 5, 7):<br> PRECL_H2O: Large-scale precipitation rate for H2O (Si_real simulations only)<br> PRECL_HDO: Large-scale precipitation rate for HDO<br> PRECL_H218O: Large-scale precipitation rate for H218O<br> PRECL_SAT: Large-scale precipitation rate for Si tracer (Si_real simulations only)<br> PRECL_TMP: Large-scale precipitation rate for T tracer (Si_real simulations only)<br> PRECL_RVD: Large-scale precipitation rate for R^D tracer<br> PRECL_RVO: Large-scale precipitation rate for R^18O tracer To limit the size of the data set, only the first 5 years of the simulations are saved. <strong>Measurements</strong> Ice core measurements for present-day climate and last glacial maximum are saved in icecores_PD.txt and icecores_LGM.txt, respectively. LGM values are averaged from 19000 BCE to 16000 BCE, PD values are averaged from 1000 BCE to 2000 CE. Antarctic surface snow measurements from Masson-Delmotte et al. (2008) are available at https://doi.org/10.1594/PANGAEA.681697 <strong>Python scripts</strong> Scripts run with python 3.6 Required packages:<br> - numpy<br> - matplotlib<br> - netCDF4<br> - datetime<br> - Basemap<br> - copy<br> - intergrid<br> - cmocean
DOI: 10.5281/zenodo.2635516
title: Supplementary material: Efficient in vivo screening method for the identification of C4 photosynthesis inhibitors based on cell suspensions of the single-cell C4 plant Bienertia sinuspersici

description: Data described in Minges et al. (2019) Efficient <em>in vivo</em> screening method for the identification of C<sub>4</sub> photosynthesis inhibitors based on cell suspensions of the single-cell C<sub>4</sub> plant <em>Bienertia sinuspersici</em>. doi: 10.3389/fpls.2019.01350
DOI: 10.5281/zenodo.2635517
title: Supplementary material: Efficient in vivo screening method for the identification of C4 photosynthesis inhibitors based on cell suspensions of the single-cell C4 plant Bienertia sinuspersici

description: Data described in Minges et al. (2019) Efficient <em>in vivo</em> screening method for the identification of C<sub>4</sub> photosynthesis inhibitors based on cell suspensions of the single-cell C<sub>4</sub> plant <em>Bienertia sinuspersici</em>. doi: 10.3389/fpls.2019.01350
DOI: 10.5281/zenodo.3522432
title: Supplementary Data - Nanopore cDNA With and Without mtDNA

description: Update (v1.5.3-Ensembl): added/updated Ensembl reference transcripts, including non-coding RNA: ensembl_mm10_geneFeatureLocations.txt.gz - genome annotation Mus_musculus.GRCm38.ensembl_v98.fa.gz - transcript sequences Update (v1.5.2-Demo): added 60Mb demonstration dataset for teaching / learning purposes (<em>reads_SampleDESet_sampled_60k.fastq.gz</em>). This dataset can be used for testing demultiplexing, or carrying out differential expression analysis on nanopore reads. There are 15k reads sampled from each run (subset on ~300 genes), plus 7.5k chimeric reads from the Dec17 run, plus 7.5k reads sampled from from CG009/BC08. The gene subset includes ~100 genes differentially-expressed between 4T1WT and 4T1ρ<sup>0</sup> cell lines, plus an additional ~200 genes with minimal differential expression observed between any 4T1 cell lines (i.e. a housekeeping gene set): BC01, BC02, BC04, BC06 - 4T1 cell line reads from three sequencing runs (005, 005, 004, Dec17) BC03, BC05, BC07 - 4T1ρ<sup>0</sup> (without mtDNA) cell line reads from three sequencing runs (005, 004, Dec17) BC08 - 4T1ρ<sup>0</sup>SC (from subcutaneous tumour) cell line reads from one sequencing run (009) [note: v1.5.1-Demo has the wrong sequence ID for BC08 reads] Update (v1.5.0-Called): added full 4T1 call set (called using guppy high-accuracy v3.2.2), gene transcript count tables, and differential expression results Update (v1.4.1-Chimeric): added more example called chimeric reads of various [unclassified] categories Update (v1.4.0-Chimeric): added example chimeric reads, one formed [presumably] during sample prep ["conjugation"], another formed in-silico ["double read"] Update (v1.3.0-DESeq2): added count table and metadata file for DESeq2 analysis Update (v1.2.1-10k): added 10k of FASTQ reads from a more recent run (part of the same differential expression project). Supplementary data to go with David Eccles' poster about nanopore cDNA sequencing with and without mitochondrial DNA. Reference mouse mtDNA and mtDNA reads from 4T1 cells (from MinION cDNA sequencing, and from SRA run SRR6747859). fwd_4T1_BC06.correctedReads.uniqueOnly.fasta.gz -- Canu-corrected cDNA reads from Wildtype 4T1 strain, filtered as transcript-forward orientation rev_4T1_BC06.correctedReads.uniqueOnly.fasta.gz -- Canu-corrected cDNA reads from Wildtype 4T1 strain, filtered as transcript-reverse orientation fwd_4T1_BC07.correctedReads.uniqueOnly.fasta.gz -- Canu-corrected cDNA reads from 4T1ρ0 strain (no mitochondrial DNA), filtered as transcript-forward orientation rev_4T1_BC07.correctedReads.uniqueOnly.fasta.gz -- Canu-corrected cDNA reads from 4T1ρ0 strain (no mitochondrial DNA), filtered as transcript-reverse orientation Other intermediate data files are also included, see `4way_mapping_process.txt` for more details. The mpileup differential coverage script can be found here.
DOI: 10.15468/58ufuj
title: Abyssal fauna of polymetallic nodule exploration areas, eastern Clarion-Clipperton Zone, central Pacific Ocean: Annelida: Capitellidae, Opheliidae, Scalibregmatidae, and Travisiidae

description: This dataset contains the digitized treatments in Plazi based on the original journal article Wiklund, Helena, Neal, Lenka, Glover, Adrian G., Drennan, Regan, Muriel Rabone,, Dahlgren, Thomas G. (2019): Abyssal fauna of polymetallic nodule exploration areas, eastern Clarion-Clipperton Zone, central Pacific Ocean: Annelida: Capitellidae, Opheliidae, Scalibregmatidae, and Travisiidae. ZooKeys 883: 1-82, DOI: http://dx.doi.org/10.3897/zookeys.883.36193, URL: http://dx.doi.org/10.3897/zookeys.883.36193
DOI: 10.15468/poh2uz
title: A new species of the live-bearing fish genus Poeciliopsis from northern Mexico (Cyprinodontiformes, Poeciliidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Conway, Kevin W., Mateos, Mariana, Vrijenhoek, Robert C. (2019): A new species of the live-bearing fish genus Poeciliopsis from northern Mexico (Cyprinodontiformes, Poeciliidae). ZooKeys 883: 91-118, DOI: http://dx.doi.org/10.3897/zookeys.883.37586, URL: http://dx.doi.org/10.3897/zookeys.883.37586
DOI: 10.15468/ac8jf3
title: Taxonomic studies on seven species of the genus Opopaea (Araneae, Oonopidae) from Kenya

description: This dataset contains the digitized treatments in Plazi based on the original journal article Tong, Yanfeng, Liu, Shijia, Kioko, Esther N., Kioko, Grace M., Li, Shuqiang (2019): Taxonomic studies on seven species of the genus Opopaea (Araneae, Oonopidae) from Kenya. African Invertebrates 60 (2): 255-289, DOI: http://dx.doi.org/10.3897/AfrInvertebr.60.39146, URL: http://dx.doi.org/10.3897/AfrInvertebr.60.39146
DOI: 10.1285/i97888830511500pi
title: Frontespizio
DOI: 10.18112/openneuro.ds002284.v1.0.0
title: FSL open science dev dataset
DOI: 10.1285/i97888830511500piii
title: Indice e pagine iniziali
DOI: 10.1285/i97888830511500p1
title: Premessa
DOI: 10.1285/i97888830511500p25
title: Le peregrinazioni del gólem, da Gerusalemme a Berlino (passando per il Salento)
DOI: 10.1285/i97888830511500p3
title: Frankenstein progeny. Nota introduttiva
DOI: 10.1285/i97888830511500p37
title: La bambola ingorda di una parodia dell'Espressionismo
DOI: 10.1285/i97888830511500p7
title: Frankenstein del Living Theatre
DOI: 10.1285/i97888830511500p47
title: Metropolis, apparato del Novecento
DOI: 10.1285/i97888830511500p59
title: Frankenstein, Homo Deus
DOI: 10.1285/i97888830511500p91
title: Colophon
DOI: 10.18112/openneuro.ds002285.v1.0.0
title: FSL open science dev dataset
DOI: 10.1285/i97888830511500
title: 1818-2018 Frankestein Progeny. Perturbazioni etiche ed estetiche nello spettacolo contemporaneo
DOI: 10.3886/e192872
title: Data and Codes for: Labor Substitutability among Schooling Groups

description: This repository contains the data files and programs for replicating the results in our article "Labor Substitutability among Schooling Groups". The procedures and the data used in the analysis are described in the Data Appendix to the article. The programs contained require Stata. See the read me file for instructions.
DOI: 10.15468/dl.gfhm6j
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Korea, Republic of, Japan)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhododendron scabrum G.Don"
 ]
}

 The dataset includes 91 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081317-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y7yqwr
title: Occurrence Download

description: A dataset containing 451 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Epilachna varivestis Mulsant, 1850",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 451 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081318-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7nskbt
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Thinobius newberyi Scheerpeltz, 1925",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081320-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qp4vcz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Pyrgocyphosoma jucundum (Brölemann, 1935)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081319-240626123714530/datasets/export for details.
DOI: 10.3886/icpsr35623.v4
title: Health Reform Monitoring Survey, United States, Second Quarter 2013
title: Version 4

description: In January 2013, the Urban Institute launched the Health Reform Monitoring Survey (HRMS), a quarterly survey of the nonelderly population, to explore the value of cutting-edge, Internet-based survey methods to monitor the Affordable Care Act (ACA) before data from federal government surveys are available. Topics covered by the second round of the survey (second quarter 2013) include self-reported health status, type of and satisfaction with current health insurance coverage, access to and use of health care, health care affordability, whether the respondent considered purchasing or tried to purchase health insurance coverage directly from an insurance company, whether the respondent considered obtaining coverage through Medicaid or other government sponsored assistance plan based on income or disability, sources of information about health insurance, and the importance of various criteria in choosing a health insurance plan. Additional information collected by the survey includes age, education, race, Hispanic origin, gender, income, household size, housing type, marital status, employment status, number of employees at place of work, United States citizenship, smoking, internet access, home ownership, body mass index, sexual orientation, and whether the respondent reported an ambulatory care sensitive condition or a mental or behavioral condition.
description: Response Rates: The HRMS response rate is roughly five percent each quarter.
description: Each quarterly HRMS sample is drawn from the KnowledgePanel, a probability-based, nationally representative Internet panel maintained by GfK Custom Research. Beginning with the second quarter of 2013, the HRMS includes oversamples of adults with family incomes at or below 138 percent of the federal poverty level and adults from selected state groups based on (1) the potential for gains in insurance coverage in the state under the ACA as estimated by the Urban Institute's microsimulation model and (2) states of specific interest to the HRMS funders. Additional funders have supported oversamples of adults from individual states or subgroups of interest (including children). However, ICPSR received data only for the adults in the general national sample and the income and state group oversamples.
description: Datasets: 
DS0: Study-Level Files
DS1: Public-use Data
DS2: Restricted-use Data
description: Household population aged 18-64.
description: web-based surveyThe principal investigators did not provide many of the
variables collected in the second round, specifically, the open-ended response variables, the variables from the questionnaire module on child health and child health care (Questions QS1 to QS32), and many variables from the
KnowledgePanel profile questionnaire.Additional information about this survey is available
on the HRMS Web site.Demographic variables are provided by the KnowledgePanel.
DOI: 10.18712/nsd-nsd1440-v3
title: Leadership in a County Administration, 1989

description: “Administratict forskningsfond” arranged a development program for 450 leaders in Østfold county administration. This examination was made before the course as means to adapt the program to the conditions in the county municipality. It was important to map out characteristics with the job situation, the relationship between work life and private life, the relationship to the nearest superior, cooperation in general, the relationship to the county municipal institutions and businesses, the relationship to the central and sector administration in the county house, organisation of the workplace, evaluation of the results of the county municipality, the relationship to the chairman of the county council and others in the political management, training demands, evaluation of their own leader abilities and demographical information. A postal questionnaire was sent out to the participators of the program. Gross sample 400, net sample 332.
DOI: 10.15468/dl.tetezd
title: Occurrence Download

description: A dataset containing 451 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Epilachna varivestis Mulsant, 1850",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 451 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081321-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4bdr5g
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Pyrgocyphosoma tridentinum (Silvestri, 1898)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081323-240626123714530/datasets/export for details.
DOI: 10.15468/dl.jazk38
title: Occurrence Download

description: A dataset containing 93 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Thinobius ciliatus Kiesenwetter, 1844",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 93 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081322-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dkdhm8
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhododendron scarlatinum Sleumer"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081324-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6qceut
title: Occurrence Download

description: A dataset containing 451 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Epilachna varivestis Mulsant, 1850",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 451 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081325-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r5hnq6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Pyrgocyphosoma marmorense (Verhoeff, 1931)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081326-240626123714530/datasets/export for details.