cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18128/m130-012.2023-04
title: Racism-county-income inequity

description: Income inequity is measured using the index of concentration at the extremes (ICE). ICE is a measure of social polarization within a particular geographic unit. It shows whether people or households in a geographic unit are concentrated in privileged or deprived extremes. Our privileged group is the number of households with a householder identifying as White alone, not Hispanic or Latino, with an income equal to or greater than 100,000. Our deprived group is the number of households with a householder identifying as a different race/ethnic group (e.g., Black alone, Asian alone, Hispanic or Latino), with an income equal to or less than 25,000. We have computed the income inequity measure for the following groups: (1) White alone, not Hispanic or Latino : Black alone, (2) White alone, not Hispanic or Latino : Asian alone, (3) White alone, not Hispanic or Latino : Hispanic or Latino.
DOI: 10.25827/nfm8-6035
title: Dataset for Determinants of Demand Response Program Participation
DOI: 10.18128/m130-011.2023-04
title: Racism-county-homeownership inequity

description: Homeownership inequity is the ratio between the proportion of householders identifying as White alone, not Hispanicor Latino, who own (as opposed to renting) their home and the proportion of householders identifying as a different race/ethnic group who own their home. We have computed the educational inequity measure for the following groups: (1) White alone, not Hispanic or Latino : Black alone, (2) White alone, not Hispanic or Lanino : Asian along, (3) White alone, not Hispanic or Latino : Hispanic or Latino.
DOI: 10.18128/m130-010.2023-04
title: Racism-county-employment inequity

description: Employment inequity is the ratio between the proportion of people aged 16-24, in the civilian labor force, who are employed and identify as White alone, not Hispanic or Latino and the proportion of people aged 16-24, in the civilian labor force, who are employed and identify as a different race/ethnic group. We have computed the educational inequity measure for the following groups: (1) White alone, not Hispanic or Latino : Black alone, (2) White alone, not Hispanic or Latino : Asian alone, (3) White alone, not Hispanic or Latino : Hispanic or Latino.
DOI: 10.18128/m130-009.2023-04
title: Racism-county-educational inequity

description: Educational inequity is the ratio between the proportion of people aged 25 years and older identifying as White alone, not Hispanic or Latino, with a college degree or higher and the proportion of people aged 25 years and older identifying as a different race/ethnic group with a college degree or higher. We have computed the educational inequity measure for the following groups: (1) White alone, not Hispanic or Latino : Black alone, (2) White alone, not Hispanic or Latino : Asian alone, (3) White alone, not Hispanic or Latino : Hispanic or Latino.
DOI: 10.18128/m130-008.2023-04
title: Cisheterosexism-state-proportion of population

description: The proportion of a state's population identifying LGBTQ+ in the U.S. Census Bureau's Household Pulse Survey, Phases 3.2 (07/21/2021-10/11/2021), 3.3 (12/01/2021-02/07/2022), 3.4 (03/02/2022-05/09/2022) and 3.5 (06/01/2022-08/08/2022). The LGBTQ+ population encompasses (1) persons identifying as lesbian, gay, bisexual or "something else" on the sexual identify question; (2) persons identifying as transgender or none of the listed gender identities; (3) persons whose sex assigned at birth does not match their current gender identity (but did not identify as transgender or other.
DOI: 10.18128/m130-006.2023-04
title: Sexism-state-proportion of state legislators identifying as female

description: This measure captures the proportion of state legislators who identify as female. We compute the proportion for the state legislature as a whole and for the state house and senate legislative chambers.
DOI: 10.18128/m130-005.2023-004
title: Sexism-state-domestic violence and gun ownership

description: The state-level domestic violence and gun ownership measure denotes whether a state has a law that prohibits domestic violence offenders from owning firearms above and beyond federal law.
DOI: 10.18128/m130-004.2023-04
title: Sexism-state-paid family and medical leave

description: The state-level paid family and medical leave measure denotes whether a state has a law that guarantees paid family and medical leave for employees.
DOI: 10.18128/m130-003.2023-04
title: Sexism-state-poverty ratio

description: The state-level poverty ratio compares the proportion of femailes living in poverty to the proportion of males living in poverty in a given state in a given year.
DOI: 10.18128/m130-002.2023-04
title: Sexism-state-labor force ratio

description: The state-level labor force ratio compares the proportion of men in the labor force to the proportion of women in the labor force in a given state in a given year.
DOI: 10.18128/m130-001.2023-04
title: Sexism-state-earnings ratio

description: The state-level earnings ratio compares the median earnings of full-time wage and salary workers identifying as male to the median earnings of full-time wage and salary workers identifying as female in a given state in a given year.
DOI: 10.18120/s3x6-7019
title: Noninvasive Targeted Neuromodulation
DOI: 10.17894/ucph.d8c1d6ae-b39e-4fb7-80f2-bbd332439fe9
title: Mr
DOI: 10.7281/t1/4zcoc4/qzqrjm
title: 3_NoahMP3.6_NLDAS2_0.125deg_2002_2017_DA.nc

description: Assimilating GRACE observation without irrigation.
DOI: 10.7281/t1/4zcoc4/wem6xt
title: 4_NoahMP3.6_NLDAS2_0.125deg_2002_2017_OLirr.nc

description: Open loop simulation with irrigation.
DOI: 10.7281/t1/4zcoc4/rablj7
title: 2_NoahMP3.6_NLDAS2_0.125deg_2002_2017_OL.nc

description: Open loop simulation without irrigation.
DOI: 10.7281/t1/4zcoc4/rkg8ut
title: 1_TimeVarying_Greenness_Vegetation_Fraction_0.125deg_2002_2017_monthly.nc

description: Monthly time-varying greenness vegetation fraction.
DOI: 10.7281/t1/4zcoc4/zu7tev
title: 5_NoahMP3.6_NLDAS2_0.125deg_2002_2017_DAirr.nc

description: Assimilating GRACE observation with irrigation.
DOI: 10.6084/m9.figshare.21737303.v3
title: Continuous odor profile monitoring to study olfactory navigation in small animals

description: Dataset for analysis and demo code for publication: "Continuous odor profile monitoring to study olfactory navigation in small animals" Chen et al. 2022
DOI: 10.5281/zenodo.7968949
title: Compact RINEX dataset of: Optimizing simultaneous water level and wave measurements from multi-GNSS interferometric reflectometry over one year at an exposed coastal site

description: Compact-RINEX files (Hatanaka-compressed format) for each day of the deployment. Sampling frequency is 1 Hz.
DOI: 10.5281/zenodo.7968948
title: Compact RINEX dataset of: Optimizing simultaneous water level and wave measurements from multi-GNSS interferometric reflectometry over one year at an exposed coastal site

description: Compact-RINEX files (Hatanaka-compressed format) for each day of the deployment. Sampling frequency is 1 Hz.
DOI: 10.5281/zenodo.7971793
title: Alterations in RNA editing in skeletal muscle following exercise training in individuals with Parkinson's disease

description: Parkinson’s Disease (PD) is the second most common neurodegenerative disease behind Alzheimer’s Disease, currently affecting more than 10 million people worldwide. The progression of PD results in the loss of function due to neurodegeneration and neuroinflammation. The etiology of PD is multifactorial, including both genetic and environmental origins. We explored changes in RNA editing, specifically editing through the actions of the Adenosine Deaminases Acting on RNA (ADARs), in the progression of PD. Analysis of ADAR editing of skeletal muscle transcriptomes from PD patients and controls, including those that engaged in a rehabilitative exercise training program revealed significant differences in ADAR editing patterns based on age, disease status, and following rehabilitative exercise. Further, deleterious editing events in protein coding regions were identified in multiple genes with known associations to PD pathogenesis. Our findings of differential ADAR editing complement findings of changes in transcriptional network identified by a recent Lavin et al. 2020 (https://doi.org/10.3389/fphys.2020.00653) study and offer insights into dynamic ADAR editing changes associated with PD pathogenesis. VCF files were generated using AIDD (Plonski et al., 2020) (https://doi.org/10.1186/s12859-020-03888-6).
description: {"references": ["Plonski, N.M., Johnson, E., Frederick, M., Mercer, H., Fraizer, G., Meindl, R., Casadesus, G. and Piontkivska, H., 2020. Automated Isoform Diversity Detector (AIDD): a pipeline for investigating transcriptome diversity of RNA-seq data. BMC bioinformatics, 21, pp.1-16.", "Lavin, K.M., Ge, Y., Sealfon, S.C., Nair, V.D., Wilk, K., McAdam, J.S., Windham, S.T., Kumar, P.L., McDonald, M.L.N. and Bamman, M.M., 2020. Rehabilitative impact of exercise training on human skeletal muscle transcriptional programs in Parkinson's disease. Frontiers in Physiology, 11, p.653."]}
DOI: 10.5281/zenodo.7971792
title: Alterations in RNA editing in skeletal muscle following exercise training in individuals with Parkinson's disease

description: Parkinson’s Disease (PD) is the second most common neurodegenerative disease behind Alzheimer’s Disease, currently affecting more than 10 million people worldwide. The progression of PD results in the loss of function due to neurodegeneration and neuroinflammation. The etiology of PD is multifactorial, including both genetic and environmental origins. We explored changes in RNA editing, specifically editing through the actions of the Adenosine Deaminases Acting on RNA (ADARs), in the progression of PD. Analysis of ADAR editing of skeletal muscle transcriptomes from PD patients and controls, including those that engaged in a rehabilitative exercise training program revealed significant differences in ADAR editing patterns based on age, disease status, and following rehabilitative exercise. Further, deleterious editing events in protein coding regions were identified in multiple genes with known associations to PD pathogenesis. Our findings of differential ADAR editing complement findings of changes in transcriptional network identified by a recent Lavin et al. 2020 (https://doi.org/10.3389/fphys.2020.00653) study and offer insights into dynamic ADAR editing changes associated with PD pathogenesis. VCF files were generated using AIDD (Plonski et al., 2020) (https://doi.org/10.1186/s12859-020-03888-6).
description: {"references": ["Plonski, N.M., Johnson, E., Frederick, M., Mercer, H., Fraizer, G., Meindl, R., Casadesus, G. and Piontkivska, H., 2020. Automated Isoform Diversity Detector (AIDD): a pipeline for investigating transcriptome diversity of RNA-seq data. BMC bioinformatics, 21, pp.1-16.", "Lavin, K.M., Ge, Y., Sealfon, S.C., Nair, V.D., Wilk, K., McAdam, J.S., Windham, S.T., Kumar, P.L., McDonald, M.L.N. and Bamman, M.M., 2020. Rehabilitative impact of exercise training on human skeletal muscle transcriptional programs in Parkinson's disease. Frontiers in Physiology, 11, p.653."]}
DOI: 10.5281/zenodo.7971783
title: Data for ms. Dairy cattle welfare – the relative effect of legislation, industry standards and labelled niche production in five European countries

description: Repository R 1: Scores on dimension values and weight on dimension from 38 international experts. Repository R2: Country Benchmark scores from 38 international experts.
DOI: 10.5281/zenodo.7971782
title: Data for ms. Dairy cattle welfare – the relative effect of legislation, industry standards and labelled niche production in five European countries

description: Repository R 1: Scores on dimension values and weight on dimension from 38 international experts. Repository R2: Country Benchmark scores from 38 international experts.
DOI: 10.17909/nq2r-ty40
title: Data from the paper by Schutte & Reines 2022

description: STIS spectrum of He 2-10
DOI: 10.6084/m9.figshare.23197952
title: Test data files

description: These test data files were used to debug the code used in the following study: "Is the Gini Coefficient Enough? A Microeconomic Data Decomposition Study." <br> List of test data: 1. it14ih.dta - household-level dataset for Italy. 2. it14ip.dta - person-level dataset for Italy. 3. mx16ih.dta - household-level dataset for Mexico. 4. mx16ip.dta - person-level dataset for Mexico. 5. us18ih.dta - household-level dataset for the USA. 6. us18ip.dta - person-level dataset for the USA. <br> All files can be used for testing/debugging of the following scripts: lis_theil.R, lis_scv.R, lis_theil_functions.R, lis_scv_functions.R. <br> These datasets were donloaded from the following website. https://www.lisdatacenter.org/resources/self-teaching/.
DOI: 10.5281/zenodo.7971847
title: The Comparison of Online-Initiated Relationships vs. Offline-Initiated Relationships in terms of Romantic Beliefs, Relationship Maintenance and Relationship Satisfaction

description: The dataset was created to study of the Comparison of Online-InitiatedRelationships vs. Offline-Initiated Relationships in terms of Romantic Beliefs, Relationship Maintenance and Relationship Satisfaction.
DOI: 10.5281/zenodo.7971846
title: The Comparison of Online-Initiated Relationships vs. Offline-Initiated Relationships in terms of Romantic Beliefs, Relationship Maintenance and Relationship Satisfaction

description: The dataset was created to study of the Comparison of Online-InitiatedRelationships vs. Offline-Initiated Relationships in terms of Romantic Beliefs, Relationship Maintenance and Relationship Satisfaction.
DOI: 10.34740/kaggle/dsv/5464925
title: Alzheimer_s Dataset
DOI: 10.6084/m9.figshare.23069618
title: Diatom dataset for automated molecular species delimitation models

description: Dataset is composed of alignments and trees built with diatom (Bacillariophyta) species that were used as input to verify the accuracy of different automated molecular species delimitation models in the manuscript: <strong> Comparison between p-distance and single-locus species delimitation models for delineating reproductively tested strains of pennate diatoms (Bacillariophyceae) using cox1, rbcL and ITS. Journal of Eukaryotic Microbiology. DOI:10.1111/jeu.12986</strong> <br> The models or methods tested were: Automatic Barcode Gap Discovery for primary species delimitation (ABGD), Assemble Species by Automatic Partitioning (ASAP), Statistical Parsimony Network Analysis (SPNA), Generalized Mixed Yule Coalescent (GMYC) and Poisson Tree Processes (PTP). More details on dataset in the file Data_Description.docx
DOI: 10.6084/m9.figshare.23069618.v2
title: Diatom dataset for automated molecular species delimitation models

description: Dataset is composed of alignments and trees built with diatom (Bacillariophyta) species that were used as input to verify the accuracy of different automated molecular species delimitation models in the manuscript: <strong> Comparison between p-distance and single-locus species delimitation models for delineating reproductively tested strains of pennate diatoms (Bacillariophyceae) using cox1, rbcL and ITS. Journal of Eukaryotic Microbiology. DOI:10.1111/jeu.12986</strong> <br> The models or methods tested were: Automatic Barcode Gap Discovery for primary species delimitation (ABGD), Assemble Species by Automatic Partitioning (ASAP), Statistical Parsimony Network Analysis (SPNA), Generalized Mixed Yule Coalescent (GMYC) and Poisson Tree Processes (PTP). More details on dataset in the file Data_Description.docx
DOI: 10.6084/m9.figshare.23069618.v1
title: Diatom dataset for automated molecular species delimitation models

description: Dataset is composed of alignments and trees built with diatom (Bacillariophyta) species that were used as input to verify the accuracy of different automated molecular species delimitation models in the manuscript: <strong> Comparison between p-distance and single-locus species delimitation models for delineating reproductively tested strains of pennate diatoms (Bacillariophyceae) using cox1, rbcL and ITS. </strong>Journal of Eukaryotic Microbiology. <br> The models or methods tested were: Automatic Barcode Gap Discovery for primary species delimitation (ABGD), Assemble Species by Automatic Partitioning (ASAP), Statistical Parsimony Network Analysis (SPNA), Generalized Mixed Yule Coalescent (GMYC) and Poisson Tree Processes (PTP). More details on dataset in the file Data_Description.docx
DOI: 10.5517/ccdc.csd.cc25gk4c
title: CCDC 2009982: Experimental Crystal Structure Determination

description: Related Article: Marina A. Uvarova, Irina A. Lutsenko, Mikhail A. Kiskin, Yulia V. Nelyubina, Petr V. Primakov, Konstantin A. Babeshkin, Nikolay N. Efimov, Alexander S. Goloveshkin, Maxim A. Shmelev, Andrey V. Khoroshilov, Ekaterina M. Zueva, Maria M. Petrova, Olga B. Bekker, Igor L. Eremenko|2021|Polyhedron|203|115241|doi:10.1016/j.poly.2021.115241
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: 10.5517/ccdc.csd.cc25gk5d
title: CCDC 2009983: Experimental Crystal Structure Determination

description: Related Article: Marina A. Uvarova, Irina A. Lutsenko, Mikhail A. Kiskin, Yulia V. Nelyubina, Petr V. Primakov, Konstantin A. Babeshkin, Nikolay N. Efimov, Alexander S. Goloveshkin, Maxim A. Shmelev, Andrey V. Khoroshilov, Ekaterina M. Zueva, Maria M. Petrova, Olga B. Bekker, Igor L. Eremenko|2021|Polyhedron|203|115241|doi:10.1016/j.poly.2021.115241
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: 10.5517/ccdc.csd.cc25gk6f
title: CCDC 2009984: Experimental Crystal Structure Determination

description: Related Article: Marina A. Uvarova, Irina A. Lutsenko, Mikhail A. Kiskin, Yulia V. Nelyubina, Petr V. Primakov, Konstantin A. Babeshkin, Nikolay N. Efimov, Alexander S. Goloveshkin, Maxim A. Shmelev, Andrey V. Khoroshilov, Ekaterina M. Zueva, Maria M. Petrova, Olga B. Bekker, Igor L. Eremenko|2021|Polyhedron|203|115241|doi:10.1016/j.poly.2021.115241
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: 10.5517/ccdc.csd.cc25gk7g
title: CCDC 2009985: Experimental Crystal Structure Determination

description: Related Article: Marina A. Uvarova, Irina A. Lutsenko, Mikhail A. Kiskin, Yulia V. Nelyubina, Petr V. Primakov, Konstantin A. Babeshkin, Nikolay N. Efimov, Alexander S. Goloveshkin, Maxim A. Shmelev, Andrey V. Khoroshilov, Ekaterina M. Zueva, Maria M. Petrova, Olga B. Bekker, Igor L. Eremenko|2021|Polyhedron|203|115241|doi:10.1016/j.poly.2021.115241
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: 10.5517/ccdc.csd.cc2d9x6v
title: CCDC 2214057: Experimental Crystal Structure Determination

description: Related Article: Wafa Arar, Ridha Ben Ali, Michèle Véronique El May, Abderrahim Khatyr, Isabelle Jourdain, Michael Knorr, Lukas Brieger, Rebecca Scheel, Carsten Strohmann, Asma Chaker, Azaiez Ben Akacha|2023|J.Mol.Struct.|1284|135370|doi:10.1016/j.molstruc.2023.135370
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: 10.5517/ccdc.csd.cc2d9x9y
title: CCDC 2214060: Experimental Crystal Structure Determination

description: Related Article: Wafa Arar, Ridha Ben Ali, Michèle Véronique El May, Abderrahim Khatyr, Isabelle Jourdain, Michael Knorr, Lukas Brieger, Rebecca Scheel, Carsten Strohmann, Asma Chaker, Azaiez Ben Akacha|2023|J.Mol.Struct.|1284|135370|doi:10.1016/j.molstruc.2023.135370
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: 10.5517/ccdc.csd.cc2dh4tw
title: CCDC 2219098: Experimental Crystal Structure Determination

description: Related Article: Amita Mahapatra, Aneeya K. Samantara, Sahadev Barik, Malaya K. Sahoo, J. N. Behera, Moloy Sarkar|2023|Soft Matter|19|3510|doi:10.1039/D3SM00040K
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: 10.5517/ccdc.csd.cc2dh4xz
title: CCDC 2219101: Experimental Crystal Structure Determination

description: Related Article: Amita Mahapatra, Aneeya K. Samantara, Sahadev Barik, Malaya K. Sahoo, J. N. Behera, Moloy Sarkar|2023|Soft Matter|19|3510|doi:10.1039/D3SM00040K
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: 10.5517/ccdc.csd.cc2f6j5c
title: CCDC 2240592: Experimental Crystal Structure Determination

description: Related Article: Ju Gao, Keyu Luo, Xiaohui Wei, Hao Wang, Hong Liu, Yu Zhou|2023|Org.Lett.|25|3341|doi:10.1021/acs.orglett.3c00445
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: 10.5517/ccdc.csd.cc2d5dgg
title: CCDC 2209725: Experimental Crystal Structure Determination

description: Related Article: Yuhang Wang, Peng Ma, Ning Ma, Jianhui Wang|2023|Org.Lett.|25|3527|doi:10.1021/acs.orglett.3c01091
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.