cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e119446v21
title: COVID-19 US State Policy Database

description: Database of state policies on closures, shelter-in-place orders, housing protections, changes to Medicaid and SNAP, physical distancing closures, reopening, and more created by researchers at the Boston University School of Public Health. Policies included are state-wide directives or mandates, not guidance or recommendations. In order for a policy to be included, it must apply to the entire state. We are working quickly to go through state government websites to make the policy database as complete and accurate as possible in a rapidly changing policy context. If you use data on a given policy, we encourage you to triangulate based on additional sources of policy data and to review the source documentation to consider the coding decisions that are right for your work. Of course, please email us if you note a discrepancy so we can improve the database for everyone. State policy source documentation can be found at: tinyurl.com/statepolicysources.
description: other; Contributors: Megan Cole Brahim, Noa Krawczyk, Carolyn Hoffman, Claire Corkish, Elizabeth Ferrara, Elizabeth Long, Emily Baroni, Faith Contador, Hannah Simon, Morgan Simko, Rachel Scheckman, Sarah Brewer, Sue Kulkarni, Felicia Heykoop, Manish Patel, Aishwarya Vidyasagaran, Andrew Chiao, Cara Safon, Samantha Burkhart, Harry Jung, Victor Lee, Marina MacKinnon, Aarohi Rede, Marie Vearling, Sophie Li, Christina Wang, Tim Levengood, María Jordán P. Emma Chistolini
description: State policies. Smallest Geographic Unit: State
DOI: 10.5281/zenodo.3816624
title: Survey of metaproteomics software tools for functional microbiome analysis

description: The dataset contains files used as input for running functional tools, and it also contains the output files generated by them. These output files were then used for data analysis to comparing them.
DOI: 10.18112/openneuro.ds003027.v1.0.1
title: plp_nf1_dMRI_fMRI
DOI: 10.17632/9bh7txmxfg.1
title: Data for: Altered mechanics of vaginal smooth muscle cells due to the lysyl oxidase-like1 knockout

description: Original and analyzed data from AFM experiments and image analysis.
DOI: 10.21227/8b0m-ng76
title: Light Field Image Augmentation

description: This dataset is for light field image augmentaion. The dataset contains 100 pairs of light field image, each of them consists of "original" and "modified". "Original" is light field image with only background, "modified" is light field image with exactly same background and an object on it.
DOI: 10.21227/hpdj-1x26
title: Light Field Image Augmentation

description: This dataset is for light field image augmentaion. The dataset contains 100 pairs of light field image, each of them consists of "original" and "modified". "Original" is light field image with only background, "modified" is light field image with exactly same background and an object on it.
DOI: 10.5517/ccdc.csd.cc20bcpf
title: CCDC 1857014: Experimental Crystal Structure Determination

description: Related Article: Chao Feng, Angelique Cao Minh, Qinliang Zhao|2021|J.Mol.Struct.|1224|128842|doi:10.1016/j.molstruc.2020.128842
DOI: 10.5517/ccdc.csd.cc20bcqg
title: CCDC 1857015: Experimental Crystal Structure Determination

description: Related Article: Chao Feng, Angelique Cao Minh, Qinliang Zhao|2021|J.Mol.Struct.|1224|128842|doi:10.1016/j.molstruc.2020.128842
DOI: 10.5517/ccdc.csd.cc24tfr5
title: CCDC 1990657: Experimental Crystal Structure Determination

description: Related Article: Kazuma Yokoo, Dan Sakai, Keiji Mori|2020|Org.Lett.|22|5801|doi:10.1021/acs.orglett.0c01867
DOI: 10.5517/ccdc.csd.cc22gqjt
title: CCDC 1920776: Experimental Crystal Structure Determination

description: Related Article: Antony Obanda, Kendra Valerius, Joel T. Mague, Stephen Sproules, James P. Donahue|2020|Organometallics|39|2854|doi:10.1021/acs.organomet.0c00375
DOI: 10.5517/ccdc.csd.cc22gqkv
title: CCDC 1920777: Experimental Crystal Structure Determination

description: Related Article: Antony Obanda, Kendra Valerius, Joel T. Mague, Stephen Sproules, James P. Donahue|2020|Organometallics|39|2854|doi:10.1021/acs.organomet.0c00375
DOI: 10.5517/ccdc.csd.cc22gqlw
title: CCDC 1920778: Experimental Crystal Structure Determination

description: Related Article: Antony Obanda, Kendra Valerius, Joel T. Mague, Stephen Sproules, James P. Donahue|2020|Organometallics|39|2854|doi:10.1021/acs.organomet.0c00375
DOI: 10.5517/ccdc.csd.cc22gqmx
title: CCDC 1920779: Experimental Crystal Structure Determination

description: Related Article: Antony Obanda, Kendra Valerius, Joel T. Mague, Stephen Sproules, James P. Donahue|2020|Organometallics|39|2854|doi:10.1021/acs.organomet.0c00375
DOI: 10.5517/ccdc.csd.cc22gqny
title: CCDC 1920780: Experimental Crystal Structure Determination

description: Related Article: Antony Obanda, Kendra Valerius, Joel T. Mague, Stephen Sproules, James P. Donahue|2020|Organometallics|39|2854|doi:10.1021/acs.organomet.0c00375
DOI: 10.5517/ccdc.csd.cc22gqv4
title: CCDC 1920786: Experimental Crystal Structure Determination

description: Related Article: Antony Obanda, Kendra Valerius, Joel T. Mague, Stephen Sproules, James P. Donahue|2020|Organometallics|39|2854|doi:10.1021/acs.organomet.0c00375
DOI: 10.5517/ccdc.csd.cc24zwpq
title: CCDC 1995894: Experimental Crystal Structure Determination

description: Related Article: Antony Obanda, Kendra Valerius, Joel T. Mague, Stephen Sproules, James P. Donahue|2020|Organometallics|39|2854|doi:10.1021/acs.organomet.0c00375
DOI: 10.5517/ccdc.csd.cc24zwqr
title: CCDC 1995895: Experimental Crystal Structure Determination

description: Related Article: Antony Obanda, Kendra Valerius, Joel T. Mague, Stephen Sproules, James P. Donahue|2020|Organometallics|39|2854|doi:10.1021/acs.organomet.0c00375
DOI: 10.5517/ccdc.csd.cc24zwst
title: CCDC 1995897: Experimental Crystal Structure Determination

description: Related Article: Antony Obanda, Kendra Valerius, Joel T. Mague, Stephen Sproules, James P. Donahue|2020|Organometallics|39|2854|doi:10.1021/acs.organomet.0c00375
DOI: 10.5517/ccdc.csd.cc24zwtv
title: CCDC 1995898: Experimental Crystal Structure Determination

description: Related Article: Antony Obanda, Kendra Valerius, Joel T. Mague, Stephen Sproules, James P. Donahue|2020|Organometallics|39|2854|doi:10.1021/acs.organomet.0c00375
DOI: 10.5517/ccdc.csd.cc24zwvw
title: CCDC 1995899: Experimental Crystal Structure Determination

description: Related Article: Antony Obanda, Kendra Valerius, Joel T. Mague, Stephen Sproules, James P. Donahue|2020|Organometallics|39|2854|doi:10.1021/acs.organomet.0c00375
DOI: 10.5517/ccdc.csd.cc24zwwx
title: CCDC 1995900: Experimental Crystal Structure Determination

description: Related Article: Antony Obanda, Kendra Valerius, Joel T. Mague, Stephen Sproules, James P. Donahue|2020|Organometallics|39|2854|doi:10.1021/acs.organomet.0c00375
DOI: 10.5517/ccdc.csd.cc24zwxy
title: CCDC 1995901: Experimental Crystal Structure Determination

description: Related Article: Antony Obanda, Kendra Valerius, Joel T. Mague, Stephen Sproules, James P. Donahue|2020|Organometallics|39|2854|doi:10.1021/acs.organomet.0c00375
DOI: 10.5517/ccdc.csd.cc24zwyz
title: CCDC 1995902: Experimental Crystal Structure Determination

description: Related Article: Antony Obanda, Kendra Valerius, Joel T. Mague, Stephen Sproules, James P. Donahue|2020|Organometallics|39|2854|doi:10.1021/acs.organomet.0c00375
DOI: 10.5517/ccdc.csd.cc24zx24
title: CCDC 1995906: Experimental Crystal Structure Determination

description: Related Article: Antony Obanda, Kendra Valerius, Joel T. Mague, Stephen Sproules, James P. Donahue|2020|Organometallics|39|2854|doi:10.1021/acs.organomet.0c00375
DOI: 10.5517/ccdc.csd.cc24zx35
title: CCDC 1995907: Experimental Crystal Structure Determination

description: Related Article: Antony Obanda, Kendra Valerius, Joel T. Mague, Stephen Sproules, James P. Donahue|2020|Organometallics|39|2854|doi:10.1021/acs.organomet.0c00375
DOI: 10.5517/ccdc.csd.cc255pz1
title: CCDC 2001483: Experimental Crystal Structure Determination

description: Related Article: Anil Chauhan, Raj Kumar Patel, Mary Grellier, Ravindra Kumar|2020|Org.Lett.|22|6177|doi:10.1021/acs.orglett.0c02284
DOI: 10.5517/ccdc.csd.cc24zwrs
title: CCDC 1995896: Experimental Crystal Structure Determination

description: Related Article: Antony Obanda, Kendra Valerius, Joel T. Mague, Stephen Sproules, James P. Donahue|2020|Organometallics|39|2854|doi:10.1021/acs.organomet.0c00375
DOI: 10.5281/zenodo.3986475
title: Systemic Change in Hydrology: Data

description: This is the data set accompanying the article "Systemic change in the Rhine-Meuse basin: quantifying and explaining parameters trends in the PCR-GLOBWB global hydrological model". For more information about the content of each folder, please refer to the README.txt file.
DOI: 10.5281/zenodo.3986474
title: Systemic Change in Hydrology: Data

description: This is the data set accompanying the article "Systemic change in the Rhine-Meuse basin: quantifying and explaining parameters trends in the PCR-GLOBWB global hydrological model". For more information about the content of each folder, please refer to the README.txt file.
DOI: 10.5281/zenodo.3986498
title: Semantic Representation of the Joconde Database

description: Semantic Representation of the Joconde Database, based on CIDOC-CRM. Near from 600000 creative works described. More than 11M triples. Source for Joconde Database: https://www.data.gouv.fr/fr/datasets/collections-des-musees-de-france-extrait-de-la-base-joconde/ (json format) More information: https://github.com/datamusee/semjoconde
DOI: 10.5281/zenodo.3986497
title: Semantic Representation of the Joconde Database

description: Semantic Representation of the Joconde Database, based on CIDOC-CRM. Near from 600000 creative works described. More than 11M triples. Source for Joconde Database: https://www.data.gouv.fr/fr/datasets/collections-des-musees-de-france-extrait-de-la-base-joconde/ (json format) More information: https://github.com/datamusee/semjoconde
DOI: 10.5281/zenodo.3977824
title: Dataset and analysis script for the manuscript "Status, rivalry and admiration-seeking in narcissism and depression: a behavioral study"

description: <em>Datasets and analysis script for the manuscript "Status, rivalry and admiration-seeking in narcissism and depression: a behavioral study".</em> <em>The attached R script begins with a read-me section with a short explanation of all variables present in the datasets. This information is also uploaded as a separate readMe in .txt format. Analyses are organized with respect to their order of appearance in the preprint (https://doi.org/10.31234/osf.io/mxve9).</em> <em>The data is uploaded in two datasets: a long-format one (ds_pooled.csv) employed in the trial-by-trial regression models and a wide-format one for supplemental subject-level analyses (ds_pooled_wide.csv). The script contains code to further generate separate datasets for Samples 1 and 2 in both the long- and the wide-format. Please, refer to the manuscript for detailed information about how the data has been collected and analyzed.</em> <em>Note: The ds_items.zip file contains datasets with item scores of the included psychometric scales (trait-dominance, narcissism scales and depression scales). These files are only used in a short section of the script to compute reliability coefficients.</em>
DOI: 10.5281/zenodo.3941642
title: Data and code for "Probing the current-phase relation of graphene Josephson junctions using microwave measurements"

description: Data and code for "Probing the current-phase relation of graphene Josephson junctions using microwave measurements"
DOI: 10.5281/zenodo.3941641
title: Data and code for "Probing the current-phase relation of graphene Josephson junctions using microwave measurements"

description: Data and code for "Probing the current-phase relation of graphene Josephson junctions using microwave measurements"
DOI: 10.5281/zenodo.3941296
title: Data and processing for "Current detection using a Josephson parametric upconverter"

description: This directory contains all the code and data necessary to produce the figures of the paper titled "Current detection using a Josephson parametric upconverter" written by Felix E. Schmidt, Daniel Bothner, Ines C. Rodrigues, Mario F. Gely, Mark D. Jenkins and Gary A. Steele.
DOI: 10.5281/zenodo.3941295
title: Data and processing for "Current detection using a Josephson parametric upconverter"

description: This directory contains all the code and data necessary to produce the figures of the paper titled "Current detection using a Josephson parametric upconverter" written by Felix E. Schmidt, Daniel Bothner, Ines C. Rodrigues, Mario F. Gely, Mark D. Jenkins and Gary A. Steele.
DOI: 10.5281/zenodo.3986515
title: Espana_dataset_RDS

description: Educational dataset (subset of Agri4cast dataset https://agri4cast.jrc.ec.europa.eu/)
DOI: 10.5281/zenodo.3986514
title: Espana_dataset_RDS

description: Educational dataset (subset of Agri4cast dataset https://agri4cast.jrc.ec.europa.eu/)
DOI: 10.5281/zenodo.3949748
title: Sample data of the CRCM5-LE for applications of the Latent Linear Adjustment autoencoder

description: This is a sample of the CRCM5-LE (Leduc et al. 2019) for the applications of the Latent Linear Adjustment autoencoder as demonstrated in Heinze-Deml et al., 2020. The sample data set is a subset of the CRCM5-LE. The original data can be accessed at the ClimEx data Access page. <strong>References</strong> Heinze-Deml C., Sippel, S., Pendergrass, A. G., Lehner, F., and Meinshausen, N., 2020: Latent Linear Adjustment autoencoders: A novel method for estimating and emulating dynamic precipitation at high resolution. arXiV preprint Leduc, M., A. Mailhot, A. Frigon, J. Martel, R. Ludwig, G.B. Brietzke, M. Giguère, F. Brissette, R. Turcotte, M. Braun, and J. Scinocca, 2019: The ClimEx Project: A 50-Member Ensemble of Climate Change Projections at 12-km Resolution over Europe and Northeastern North America with the Canadian Regional Climate Model (CRCM5). J. Appl. Meteor. Climatol., 58, 663–693, https://doi.org/10.1175/JAMC-D-18-0021.1.
DOI: 10.5281/zenodo.3949747
title: Sample data of the CRCM5-LE for applications of the Latent Linear Adjustment autoencoder

description: This is a sample of the CRCM5-LE (Leduc et al. 2019) for the applications of the Latent Linear Adjustment autoencoder as demonstrated in Heinze-Deml et al., 2020. The sample data set is a subset of the CRCM5-LE. The original data can be accessed at the ClimEx data Access page. <strong>References</strong> Heinze-Deml C., Sippel, S., Pendergrass, A. G., Lehner, F., and Meinshausen, N., 2020: Latent Linear Adjustment autoencoders: A novel method for estimating and emulating dynamic precipitation at high resolution. arXiV preprint Leduc, M., A. Mailhot, A. Frigon, J. Martel, R. Ludwig, G.B. Brietzke, M. Giguère, F. Brissette, R. Turcotte, M. Braun, and J. Scinocca, 2019: The ClimEx Project: A 50-Member Ensemble of Climate Change Projections at 12-km Resolution over Europe and Northeastern North America with the Canadian Regional Climate Model (CRCM5). J. Appl. Meteor. Climatol., 58, 663–693, https://doi.org/10.1175/JAMC-D-18-0021.1.
DOI: 10.34740/kaggle/dsv/1420177
title: Tripadvisor Attractions Reviews & Nearby Locations
DOI: 10.21227/rw4j-z173
title: PSCN

description: Program folder contains all the programs used in the paper. The program is based on tensorflow 2.2.The data folder contains manually generated data and bearing data.
DOI: 10.15161/oar.it/30623
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.5517/ccdc.csd.cc25x1ms
title: CCDC 2022955: Experimental Crystal Structure Determination

description: Related Article: A.C.Fecker,B.-F.Craciun,P.Schweyen,M.Freytag,P.G.Jones,M.D.Walter|2020|CSD Communication|||
DOI: 10.5281/zenodo.3986569
title: DFT-optimized Computation-Ready Experimental Metal-Organic Framework (CoRE MOF) 2014

description: There are two folders inside the zipped file: - 838 structures (without DDEC partial atomic charges) - 502 structures (with DDEC partial atomic charges)<br>
description: If using the dataset, please cite: 10.1021/acs.chemmater.6b04226
description: {"references": ["https://pubs.acs.org/doi/10.1021/acs.chemmater.6b04226"]}
DOI: 10.5281/zenodo.3986568
title: DFT-optimized Computation-Ready Experimental Metal-Organic Framework (CoRE MOF) 2014

description: There are two folders inside the zipped file: - 838 structures (without DDEC partial atomic charges) - 502 structures (with DDEC partial atomic charges)<br>
description: If using the dataset, please cite: 10.1021/acs.chemmater.6b04226
description: {"references": ["https://pubs.acs.org/doi/10.1021/acs.chemmater.6b04226"]}
DOI: 10.5281/zenodo.3986572
title: Computation-Ready Experimental Metal-Organic Framework (CoRE MOF) 2014 DDEC Database

description: ~2,900 structures CoRE MOF 2014 structures with DDEC partial atomic charges.
description: Yongchul G. Chung (drygchung@gmail.com) maintains this particular dataset but was not involved in deriving the dataset.
description: {"references": ["https://pubs.acs.org/doi/10.1021/acs.chemmater.5b03836"]}
DOI: 10.7910/dvn/alftxf/2tyq3r
title: mydata.tab

description: A Merged Dataset: WVS-China Module in 2012 and National Bureau of Statistics of China
DOI: 10.7910/dvn/alftxf/czdddn
title: womenrate.tab

description: The Dataset for Chinese Women Job Participation Rate at Province Level in 2012
DOI: 10.7910/dvn/alftxf/k7ssro
title: Trade and Gender in China.do

description: Stata do.file for all analyses
DOI: 10.7910/dvn/alftxf/rs5ydr
title: Figure2.R

description: R Codes for Figure 2: Map of Trade Openness among Chinese Provinces
DOI: 10.7910/dvn/alftxf
title: Replication Data for: Trading Up Half the Sky? Trade Openness and Gender Equality Perceptions in China

description: This paper investigates whether trade openness shapes individuals’ views on gender equality in China—the largest developing country that promotes free trade. Drawing upon international trade models and the theories of authoritarian politics, this paper argues that trade openness has a heterogeneous effect on one’s gender equality perceptions. Women gain rising economic benefits in traded sectors, which changes the public’s perception of women's economic independence. The absence of independent and accountable institutions for women in these countries, however, strengthens people’s gender stereotypes in leadership. Several multilevel models, along with robustness checks, confirm my argument in the context of contemporary Chinese society by linking the World Value Survey’s China Module and several macroeconomic indicators in 2012. This research implies that without liberal democratic institutions, the export-led strategy in developing countries advances the norm of women's economic equality at the cost of her political influence.
DOI: 10.25345/c5h175
title: MassIVE MSV000085952 - Beneficial effects of low glucose on neuronal cell survival in an in vitro ischemic penumbral model
title: HT22 cells were cultured under hypoxia for 17.5 h with 0.69 mM low glucose (H+LG), hypoxia without glucose, or normoxia with normal 22 mM glucose (N+G). Proteomic analysis was performed by the Duke Proteomics and Metabolomics Shared Resource (address correspondence to mwfoster(at)duke.edu. Cells (n=3 replicates per condition) were lysed by sonication in 0.5% ALS-1, reduced with DTT and alkylated with iodoacetamide followed by digestion with trypsin digestion overnight. A QC pool was made by mixing equal amounts of all samples. Samples were analyzed using a nanoACQUITY UPLC system (Waters) coupled to a Fusion Lumos high resolution accurate mass tandem mass spectrometer (Thermo) via a nanoelectrospray ionization source. 750 ng of each sample was analyzed using block randomization with interspersed analyses of the QC pool. Briefly, the sample was first trapped on a Symmetry C18 180 micron by 20 mm trapping column (5 microl/min at 99.9/0.1 v/v H2O/MeCN) followed by an analytical separation using a 1.7 micron AQCUITY HSS T3 C18 75 micron x 250 mm column (Waters) with a 90 min gradient of 5 to 30% MeCN with 0.1% formic acid at a flow rate of 400 nl/min and column temperature of 55 degC. Data collection on the Fusion Lumos MS was performed in data-dependent acquisition (DDA) mode with a 240,000 resolution (at m/z 200) full MS scan from m/z 375 to 1600 with a target AGC value of 2e5 ions and 50 ms maximum injection time (IT) with internal calibration enabled. Peptides were selected for MS/MS using with advanced peak determination enabled, peptide monosotopic peak determination, and including charge states 2-5. MS/MS used HCD fragmentation and detection in the ion trap. Briefly, a 2 s method used an isolation width of 0.7 m/z, a normalized collision energy of 30 plus/minus 5%, a rapid ion trap scan rate, max AGC of 5e3 ions, max IT of 300 ms and use of all available parallelization time. A 20 s dynamic exclusion was enabled. Data was analyzed using Rosetta Elucidator v.4 (see Supplemental Data). Database searching with Mascot Server v 2.5 used a Swissprot Mus Musculus Database (downloaded 09/05/2017) appended with common contaminants and reverse decoys. Search parameters included precursor mass tolerance of 5 ppm, product ion mass tolerance of 0.6 Da, trypsin specificity with up to two missed cleavages, fixed modification on Cys (carbamidomethyl) and variable deamidation (N/Q)and acetylation (protein N-terminus). Data was annotated at a 1% peptide FDR using the PeptideTeller algorithm in Elucidator. Peptides were quantified by area under the curve and normalized to robust mean, and protein intensities were calculated as the sum of peptide intensities.
DOI: 10.34740/kaggle/dsv/1421080
title: US counties COVID 19 dataset
DOI: 10.5517/ccdc.csd.cc24n0zt
title: CCDC 1985456: Experimental Crystal Structure Determination

description: Related Article: Guillaume Pisella, Alec Gagnebin, Jérôme Waser|2020|Chem.-Eur.J.|26|10199|doi:10.1002/chem.202001317
DOI: 10.5517/ccdc.csd.cc24stj9
title: CCDC 1990061: Experimental Crystal Structure Determination

description: Related Article: Max M. Martin, Frank Hampel, Norbert Jux|2020|Chem.-Eur.J.|26|10210|doi:10.1002/chem.202001471
DOI: 10.25345/c5cb4w
title: MassIVE MSV000085953 - Proteomics of exhaled breath condensate from lung cancer patients using data-independent acquisition
title: This is a proteomic study on exhaled breath condensate from lung cancer and benign nodules patients. We used data-independent acquisition for protein quantification. 10 lung cancer and 10 benign nodules were enrolled and a total of 1254 proteins were identified.
DOI: 10.15468/w65qxq
title: Three new species of Junghuhnia (Polyporales, Basidiomycota) from China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Du, Ping, Wu, Fang, Tian, Xue-Mei (2020): Three new species of Junghuhnia (Polyporales, Basidiomycota) from China. MycoKeys 72: 1-16, DOI: http://dx.doi.org/10.3897/mycokeys.72.51872, URL: http://dx.doi.org/10.3897/mycokeys.72.51872
DOI: 10.25573/data.12809561
title: (mg) No 6. MAG02 Phylogenomic Analysis (metagenome) Output

description: Files generated from the pangenomic (<b>01_MAG02_PAN</b>/), phylogenomic (<b>02_MAG02_PHYLOGENOMICS</b>), and 16S rRNA phylogenetic (<b>03_MAG02_16S_rRNA_PHYLOGENETICS</b>) analyses of MAG02. You can use the anvi'o commands described in the workflow to visualize the data.