Stata file with sequential serological data, wide format (DTA format).

Stata file with all variables used in the logistic regression models (DTA format).

General information: The data sets contain information on how often materials of studies available through GESIS: Data Archive for the Social Sciences were downloaded and/or ordered through one of the archive´s plattforms/services between 2004 and 2017.

Sources and plattforms: Study materials are accessible through various GESIS plattforms and services: Data Catalogue (DBK), histat, datorium, data service (and others).

Years available: - Data Catalogue: 2012-2017 - data service: 2006-2017 - datorium: 2014-2017 - histat: 2004-2017

Data sets: Data set ZA6899_Datasets_only_all_sources contains information on how often data files such as those with dta- (Stata) or sav- (SPSS) extension have been downloaded. Identification of data files is handled semi-automatically (depending on the plattform/serice). Multiple downloads of one file by the same user (identified through IP-address or username for registered users) on the same days are only counted as one download.

Data set ZA6899_Doc_and_Data_all_sources contains information on how often study materials have been downloaded. Multiple downloads of any file of the same study by the same user (identified through IP-address or username for registered users) on the same days are only counted as one download.

Both data sets are available in three formats: csv (quoted, semicolon-separated), dta (Stata v13, labeled) and sav (SPSS, labeled). All formats contain identical information.

Variables: Variables/columns in both data sets are identical. za_nr ´Archive study number´ version ´GESIS Archiv Version´ doi ´Digital Object Identifier´ StudyNo ´Study number of respective study´ Title ´English study title´ Title_DE ´German study title´ Access ´Access category (0, A, B, C, D, E)´ PubYear ´Publication year of last version of the study´ inZACAT ´Study is currently also available via ZACAT´ inHISTAT ´Study is currently also available via HISTAT´ inDownloads ´There are currently data files available for download for this study in DBK or datorium´ Total ´All downloads combined´ downloads_2004 ´downloads/orders from all sources combined in 2004´ [up to ...] downloads_2017 ´downloads/orders from all sources combined in 2017´ d_2004_dbk ´downloads from source dbk in 2004´ [up to ...] d_2017_dbk ´downloads from source dbk in 2017´ d_2004_histat ´downloads from source histat in 2004´ [up to ...] d_2017_histat ´downloads from source histat in 2017´ d_2004_dataservice ´downloads/orders from source dataservice in 2004´ [up to ...] d_2017_dataservice ´downloads/orders from source dataservice in 2017´

More information is available within the codebook.

UNI-CEN Standardized Census Data Tables contain Census data that have been reformatted into a common table format with standardized variable names and codes. The data are provided in two tabular formats for different use cases. "Long" tables are suitable for use in statistical environments, while "wide" tables are commonly used in GIS environments. The long tables are provided in Stata Binary (dta) format, which is readable by all statistics software. The wide tables are provided in comma-separated values (csv) and dBase 3 (dbf) formats with codebooks. The wide tables are easily joined to the UNI-CEN Digital Boundary Files. For the csv files, a .csvt file is provided to ensure that column data formats are correctly formatted when importing into QGIS. A schema.ini file does the same when importing into ArcGIS environments. As the DBF file format supports a maximum of 250 columns, tables with a larger number of variables are divided into multiple DBF files. For more information about file sources, the methods used to create them, and how to use them, consult the documentation at https://borealisdata.ca/dataverse/unicen_docs. For more information about the project, visit https://observatory.uwo.ca/unicen.

Data type: Experimental spectroscopic measurements, Computer Simulation and Analysis Files are with filename extensions: DSC, DTA, m, opj, out, and f34. Information on origin of the data: EPR spectroscopic measurements with filename extensions DSC and DTA EPR spectroscopic simulation and analyses with filename extension m cwEPR spectroscopic spectra with simulations with filename extension opj Periodic DFT computations with(out) filename extensions out and f34 in ASCII format Molecular cluster DFT computations with filename extensions in and out in ASCII format Are the data generated (e.g. by a machine) or collected (e.g. by means of a survey)? X-band CW-EPR spectroscopic measurements were generated by EMX spectrometer equipped with SHQ cavity produced by Bruker. Q-band Pulsed-EPR spectroscopic measurements were generated by ELEXYS 580 EPR spectrophotometer equipped with SHQ cavity and ER035 M NMR gaussmeter produced by Bruker. Periodic DFT computations were generated using distributed parallel version of CRYSTAL17 code. Molecular cluster DFT computations were generated using the ORCA (v5.0.2) code. If the dataset includes multiple files that relate to each other: Files in PARACAT_WP4_20230309_01_ORCA folder includes molecular cluster DFT computation inputs and outputs in ASCII format. Files in PARACAT_WP4_20230309_02_CRYSTAL folder includes periodic DFT computation inputs and outputs in ASCII format. Files in PARACAT_WP4_20230309_03_CW folder includes CW-EPR spectroscopic measurements and computer simulations/analyses, original data are in DTA/DSC formats; simulations in m format; and results plotted in opj format. Files in PARACAT_WP4_20230309_04_Pulse folder includes subfolders of VO/ZSM-5 and Zn/ZSM-5 that contain Pulsed-EPR spectroscopic measurements and computer simulations/analyses, original data are in DTA/DSC formats; files in m format were used to process the data. Information on: specialized abbreviations: EPR – Electron Paramagnetic Resonance, CW – Continuous Wave EPR, HYSCORE – HYperfine Sublevel CORrelation spectroscopy, ENDOR – Electron Nuclear DOuble Resonance, DFT – Density Functional Theory definitions of variables: Magnetic field, Temperature units of measurement: Gauss (G), K  The DSC/DTA files can be opened on proprietary EPR softwares from Bruker or MatLab (version R2022a used by the authors) with EasySpin toolbox (version 6.0.0-dev.48 used by the authors)  The simulation/analysis of EPR measurements can be opened and run on MatLab (version R2020a used by the authors) with EasySpin toolbox (version 6.0.0-dev.48 used by the authors)  All the other files are in ASCII format and can be open with any text editing software. Input files of periodic and molecular cluster DFT computations run on CRYSTAL and ORCA. 1. MatLab can be purchased/downloaded from: https://www.mathworks.com/products/matlab.html 2. EasySpin toolbox can be downloaded from: https://easyspin.org/ 3. CRYSTAL can be purchased/download from: https://www.crystal.unito.it/how-to-get-a-copy.php 4. ORCA can be downloaded from https://orcaforum.kofo.mpg.de/app.php/portal 5. Origin/OriginPro/Origin Viewer can be purchased/downloaded from: https://www.originlab.com/

The zip file includes one command file, one instruction, and data for the manuscript “Green Innovation Transformation, Economic Sustainability and Energy Consumption during China's New Normal Stage”. The Data file consists of two parts: the micro and macro empirical data. Both of them are uploaded by two types, dta format (for STATA software) and excel format. The Command.do file is uesed for the STATA software. The instruction describe how to use data and command files in steps.

Endovascular therapy (EVT) has changed the landscape of acute stroke treatment in the context of large vessel occlusion (LVO). Still, procedural success is typically determined by the degree of large vessel recanalization, despite the fact that large vessel recanalization does not always result in microvascular reperfusion. To address this discrepancy, we performed bedside optical CBF monitoring (with diffuse correlation spectroscopy) during endovascular therapy. This allowed comparison of CBF pre vs post-recanalization.Note 3 files uploaded:The .dta file is a stata file which contains all variables labels which includes all necessary variables details.The .xlsx file database is in numerical format (i.e. without applying text labels).The .xlsx file data dictionary contains all variable names, variable labels, and code to translate the numerical values.

This includes the dataset and replication do file for models included in the manuscript "The Limitations of the Backfire Effect." The dataset is in a Stata 13 .dta format and the models are in a .do file format.

Data on collected household waste as well as survey data on household attitudes towards waste separation. Survey data also includes warnings issued for not separating waste correctly. Data allows to evaluate effect on waste separation by households of making it illegal not to separate waste then enforcing that rule. Data files - Two cleaned data files in STATA 17 format: ‘vollaard_vansoest_2023_waste.dta’; ‘vollaard_vansoest_2023_survey.dta. The STATA 17 file ‘vollaard_vansoest_2023.do’ contains the code to replicate all the figures and tables in Vollaard and Van Soest (2023), which calls on the two data files mentioned above. Method: Data on collected waste in terms of weight as well as warnings issued were provided by the Tilburg Department of Sanitation (BAT). Survey data are based on an online survey among 10,000 households (invited by way of a letter) conducted in April, 2015. Universe: 70,000 households that live in single-family homes serviced by curbside collection in the Tilburg area. Country / Nation: The Netherlands The two dta files are also available in their preferred file format. Preferred formats are file formats of which DANS – based on international agreements – is confident that they offer the best long-term guarantees in terms of usability, accessibility and sustainability. For more information on preferred file formats, see https://dans.knaw.nl/en/file-formats.

This includes the dataset and replication do file for the tables and figures included in the manuscript "In Capable Hands: An Experimental Study of the Effects of Competence and Consistency on Leadership Approval." The dataset is in a Stata 13 .dta format and the models are in a .do file format.

This includes the dataset and replication do file for the tables and figures included in the manuscript "Party and Gender Stereotypes in Campaign Attacks." The datasets are in a Stata 13 .dta format and the models are in a .do file format. Codebooks are included

Additional file 1: Data S1. Data in Stata dta file type.

UNI-CEN Standardized Census Data Tables contain Census data that have been reformatted into a common table format with standardized variable names and codes. The data are provided in two tabular formats for different use cases. "Long" tables are suitable for use in statistical environments, while "wide" tables are commonly used in GIS environments. The long tables are provided in Stata Binary (dta) format, which is readable by all statistics software. The wide tables are provided in comma-separated values (csv) and dBase 3 (dbf) formats with codebooks. The wide tables are easily joined to the UNI-CEN Digital Boundary Files. For the csv files, a .csvt file is provided to ensure that column data formats are correctly formatted when importing into QGIS. A schema.ini file does the same when importing into ArcGIS environments. As the DBF file format supports a maximum of 250 columns, tables with a larger number of variables are divided into multiple DBF files. For more information about file sources, the methods used to create them, and how to use them, consult the documentation at https://borealisdata.ca/dataverse/unicen_docs. For more information about the project, visit https://observatory.uwo.ca/unicen.

Replication materials include the dataset and do-files for the tables and figures included in the manuscript "Reconciling Sexism and Women’s Support for Republican Candidates: A Look at Gender, Class, and Whiteness in the 2012 and 2016 Presidential Races." The datasets are in Stata 11/12 .dta format and the models are in a .do file format.

This includes the dataset and replication do file for models included in the manuscript "The Impact of Foreign Fighters on Civil Conflict Outcomes." The dataset is in a Stata 13 .dta format and the models are in a .do file format. The Appendix includes more detailed information on the dataset, along with additional tables not included in the manuscript.

There is no abstract created for this record There is no abstract created for this record

UNI-CEN Standardized Census Data Tables contain Census data that have been reformatted into a common table format with standardized variable names and codes. The data are provided in two tabular formats for different use cases. "Long" tables are suitable for use in statistical environments, while "wide" tables are commonly used in GIS environments. The long tables are provided in Stata Binary (dta) format, which is readable by all statistics software. The wide tables are provided in comma-separated values (csv) and dBase 3 (dbf) formats with codebooks. The wide tables are easily joined to the UNI-CEN Digital Boundary Files. For the csv files, a .csvt file is provided to ensure that column data formats are correctly formatted when importing into QGIS. A schema.ini file does the same when importing into ArcGIS environments. As the DBF file format supports a maximum of 250 columns, tables with a larger number of variables are divided into multiple DBF files. For more information about file sources, the methods used to create them, and how to use them, consult the documentation at https://borealisdata.ca/dataverse/unicen_docs. For more information about the project, visit https://observatory.uwo.ca/unicen.

UNI-CEN Standardized Census Data Tables contain Census data that have been reformatted into a common table format with standardized variable names and codes. The data are provided in two tabular formats for different use cases. "Long" tables are suitable for use in statistical environments, while "wide" tables are commonly used in GIS environments. The long tables are provided in Stata Binary (dta) format, which is readable by all statistics software. The wide tables are provided in comma-separated values (csv) and dBase 3 (dbf) formats with codebooks. The wide tables are easily joined to the UNI-CEN Digital Boundary Files. For the csv files, a .csvt file is provided to ensure that column data formats are correctly formatted when importing into QGIS. A schema.ini file does the same when importing into ArcGIS environments. As the DBF file format supports a maximum of 250 columns, tables with a larger number of variables are divided into multiple DBF files. For more information about file sources, the methods used to create them, and how to use them, consult the documentation at https://borealisdata.ca/dataverse/unicen_docs. For more information about the project, visit https://observatory.uwo.ca/unicen.