cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7656638
title: Enquête 'Les Futurs de Bruxelles' / Enquête 'De Toekomsten van Brussel' / Survey 'The Future of Brussels'

description: The “Future of Brussels” survey was managed by the Policy Lab. The Policy Lab is the service provider appointed by the Brussels government to design, organise and run the General Assembly of Brussels Local Authorities, “aimed at tackling, without taboos, the recurrent questions relating to the organisation of the city boroughs, PCSWs, police areas and the Region”.


The General Assembly is organised in three complementary phases:


1) A broad-based consultation of the Brussels population by means of a survey (Phase 1)


2) Institutional debates with a range of actors (Phase 2)


3) Meetings with citizen (Phase 3)


The “Future of Brussels” survey corresponds to Phase 1 of this process. It was coordinated by Justine Brunet, Robin Lebrun, Aurélie Tibbaut and Emilie van Haute (Policy Lab, Université libre de Bruxelles [ULB]).


The survey planned was 20 minutes long and consisted of closed questions only. It was designed (1) to ask citizens’ opinion about the functioning of their institutions and the institutional problems they face (assessment of the existing situation), (2) to identify citizens’ priorities among the topics and challenges approved by the Government, and (3) to outline preferences for improving the quality, efficiency and equity of public service, the clarity of institutions, the accountability of the policies implemented and the participation of citizens in public decision-making.


The codebook sets out the methodology and questionnaire used for the “Future of Brussels” survey.
DOI: 10.5281/zenodo.7656639
title: Enquête 'Les Futurs de Bruxelles' / Enquête 'De Toekomsten van Brussel' / Survey 'The Future of Brussels'

description: The “Future of Brussels” survey was managed by the Policy Lab. The Policy Lab is the service provider appointed by the Brussels government to design, organise and run the General Assembly of Brussels Local Authorities, “aimed at tackling, without taboos, the recurrent questions relating to the organisation of the city boroughs, PCSWs, police areas and the Region”.


The General Assembly is organised in three complementary phases:


1) A broad-based consultation of the Brussels population by means of a survey (Phase 1)


2) Institutional debates with a range of actors (Phase 2)


3) Meetings with citizen (Phase 3)


The “Future of Brussels” survey corresponds to Phase 1 of this process. It was coordinated by Justine Brunet, Robin Lebrun, Aurélie Tibbaut and Emilie van Haute (Policy Lab, Université libre de Bruxelles [ULB]).


The survey planned was 20 minutes long and consisted of closed questions only. It was designed (1) to ask citizens’ opinion about the functioning of their institutions and the institutional problems they face (assessment of the existing situation), (2) to identify citizens’ priorities among the topics and challenges approved by the Government, and (3) to outline preferences for improving the quality, efficiency and equity of public service, the clarity of institutions, the accountability of the policies implemented and the participation of citizens in public decision-making.


The codebook sets out the methodology and questionnaire used for the “Future of Brussels” survey.
DOI: 10.22032/dbt.44600
title: Dataset to: A Comparative Analysis of German and Australian Climate Change Coverage in Quality Newspapers : Framing a political election and an environmental disaster
DOI: 10.5281/zenodo.10044360
title: Error bounds for kernel-based approximations of the Koopman operator

description: This repository contains python scripts and data to re-create the result shown in
`Error bounds for kernel-based approximations of the Koopman operator, arxiv:2301.08637`
See README for detailed instructions on how to re-create these data.
DOI: 10.5281/zenodo.10044361
title: Error bounds for kernel-based approximations of the Koopman operator

description: This repository contains python scripts and data to re-create the result shown in
`Error bounds for kernel-based approximations of the Koopman operator, arxiv:2301.08637`
See README for detailed instructions on how to re-create these data.
DOI: 10.5281/zenodo.10410561
title: Error bounds for kernel-based approximations of the Koopman operator

description: This repository contains python scripts and data to re-create the result shown in
`Error bounds for kernel-based approximations of the Koopman operator, arxiv:2301.08637`
See README for detailed instructions on how to re-create these data.
DOI: 10.5281/zenodo.10410574
title: Distributed ground surface temperature measurements in Terelj, Mongolia
DOI: 10.5281/zenodo.10410575
title: Distributed ground surface temperature measurements in Terelj, Mongolia
DOI: 10.5281/zenodo.8041777
title: Water-assisted generation of catalytic interface:  The case of supported Pt-FeOx(OH)y catalysts for  preferential carbon monoxide oxidation

description: Open data for "Water-assisted generation of catalytic interface:  The case of supported Pt-FeOx(OH)y catalysts for  preferential carbon monoxide oxidation"
DOI: 10.5281/zenodo.8041778
title: Water-assisted generation of catalytic interface:  The case of supported Pt-FeOx(OH)y catalysts for  preferential carbon monoxide oxidation

description: Open data for "Water-assisted generation of catalytic interface:  The case of supported Pt-FeOx(OH)y catalysts for  preferential carbon monoxide oxidation"
DOI: 10.6084/m9.figshare.24877737.v1
title: Effect of P2RX7 on suicidality

description: Data on the association between P2RX7, stress, and suicide.
DOI: 10.6084/m9.figshare.24877737
title: Effect of P2RX7 on suicidality

description: Data on the association between P2RX7, stress, and suicide.
DOI: 10.5281/zenodo.10407138
title: State by State Rape Suicide and No Religion Rates from 2014 to 2020

description: 1. No Religion Rate
The 2014 Data have been drawn from the Pew Religious Landscape Survey of that year.  Pew Research Center. (2015). U.S. public becoming less religious. Pew Research Center. Data for the years 2014 - 2020 are from the Public Religion Research Institute (PRRI). Public Religion Research Institute. (2015). PRRI Religion and Politics Tracking Survey. PRRI. https://ava.prri.org/media/methodology/PRRI-AVA%20Issue%20Topline%202014.pdf.  The data download process can be viewed at this URL: https://youtu.be/pG1KMFTjMso


2. Suicide Rate
The analysis makes use of state-by-state suicide rates.  This used the data extraction tool maintained by the Centers for Disease Control (CDC) covering deaths for the years 1999-2020 (CDC, 2021).  The causes of death used for this analysis cover all those under the heading “Intentional Self-Harm”.  These include the range of description codes from X60 to X84 under the International Classification of Diseases 10th revision (ICD10).  CDC. (2021). Mortality 1999-2020 on CDC WONDER Online Database. Centers for Disease Control and Prevention, National Center for Health Statistics. National Vital Statistics System.  https://wonder.cdc.gov/ucd-icd10.html


3. Clery Act Rape Rate
The Office of Postsecondary Education’s campus security handbook defines rape as “the penetration, no matter how slight, of the vagina or anus, with any body part or object, or oral penetration by a sex organ of another person, without the consent of the victim” (Department of Education, 2016, pp. 3–6). All campus rape rates cited below are based on this new revised definition.  For the purposes of calculating campus rape rates the full federal data files were downloaded from the Web site of the U.S. Department of Education. https://ope.ed.gov/campussafety/#/


4. UCR Rape Rate
The FBI reports state-by-state rape rates using a revised definition of rape (Federal Bureau of Education, 2013) that is identical to the Department of Education Handbook definition cited above.  The FBI’s legacy definition is not used in any of the analyses described below.  Just as institutions of higher education are required to report campus crime incidents to the federal Department of Education under the Clery Act, local police agencies are required to report crime incidents to the FBI under the Uniform Crime Reports (UCR) program.  These rape rates are the number of crime incidents divided by the state population divided by 100,000.  Data was downloaded using the FBI's Crime Data Explorer.   https://cde.ucr.cjis.gov/LATEST/webapp/#/pages/home
DOI: 10.5281/zenodo.10407139
title: State by State Rape Suicide and No Religion Rates from 2014 to 2020

description: 1. No Religion Rate
The 2014 Data have been drawn from the Pew Religious Landscape Survey of that year.  Pew Research Center. (2015). U.S. public becoming less religious. Pew Research Center. Data for the years 2014 - 2020 are from the Public Religion Research Institute (PRRI). Public Religion Research Institute. (2015). PRRI Religion and Politics Tracking Survey. PRRI. https://ava.prri.org/media/methodology/PRRI-AVA%20Issue%20Topline%202014.pdf.  The data download process can be viewed at this URL: https://youtu.be/pG1KMFTjMso


2. Suicide Rate
The analysis makes use of state-by-state suicide rates.  This used the data extraction tool maintained by the Centers for Disease Control (CDC) covering deaths for the years 1999-2020 (CDC, 2021).  The causes of death used for this analysis cover all those under the heading “Intentional Self-Harm”.  These include the range of description codes from X60 to X84 under the International Classification of Diseases 10th revision (ICD10).  CDC. (2021). Mortality 1999-2020 on CDC WONDER Online Database. Centers for Disease Control and Prevention, National Center for Health Statistics. National Vital Statistics System.  https://wonder.cdc.gov/ucd-icd10.html


3. Clery Act Rape Rate
The Office of Postsecondary Education’s campus security handbook defines rape as “the penetration, no matter how slight, of the vagina or anus, with any body part or object, or oral penetration by a sex organ of another person, without the consent of the victim” (Department of Education, 2016, pp. 3–6). All campus rape rates cited below are based on this new revised definition.  For the purposes of calculating campus rape rates the full federal data files were downloaded from the Web site of the U.S. Department of Education. https://ope.ed.gov/campussafety/#/


4. UCR Rape Rate
The FBI reports state-by-state rape rates using a revised definition of rape (Federal Bureau of Education, 2013) that is identical to the Department of Education Handbook definition cited above.  The FBI’s legacy definition is not used in any of the analyses described below.  Just as institutions of higher education are required to report campus crime incidents to the federal Department of Education under the Clery Act, local police agencies are required to report crime incidents to the FBI under the Uniform Crime Reports (UCR) program.  These rape rates are the number of crime incidents divided by the state population divided by 100,000.  Data was downloaded using the FBI's Crime Data Explorer.   https://cde.ucr.cjis.gov/LATEST/webapp/#/pages/home
DOI: 10.6084/m9.figshare.24877758
title: Mitochondrial Proteomics for RV Extracts (TMT10Plex) Using Proteome Discoverer Software

description: TMT10plex analysis of mitochondrial enrichments from control, MCT-AAV-GFP, and MCT-AAV-JPH2
DOI: 10.6084/m9.figshare.24877764
title: TMT10plex Proteomics Analysis of RV Mitochondrial Enrichments

description: TMT10plex proteomics Using Scaffold Software
DOI: 10.6084/m9.figshare.24877764.v1
title: TMT10plex Proteomics Analysis of RV Mitochondrial Enrichments

description: TMT10plex proteomics Using Scaffold Software
DOI: 10.6084/m9.figshare.24747363.v3
title: DeVAIC: A Tool for Security Assessment of AI-generated Code

description: Anonymized repository for the paper "DeVAIC: A Tool for Security Assessment of AI-generated Code" submitted at the 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2024). DeVAIC (Detection of Vulnerabilities in AI-generated Code) is a static analysis tool for Python, able to detect vulnerabilities belonging to 9 of the OWASP categories listed in the Top 10 Vulnerabilities report of 2021.The repo contains the code snippets generated by the models cited in the paper.
DOI: 10.57745/bh3god
title: mechanistic_statistical_model_data_files.zip

description: :unav
DOI: 10.57745/zstkao
title: README.txt

description: Description of all the files (R and C scripts, datasets) needed to replicate the analysis presented in the article. A first description of each script is provided by alphabetical order. Then, a description of each provided file is given by alphabetical order. Finally, a more general description of the project is provided with the order in which the scripts must be executed to obtain the figures and data presented in the article.
DOI: 10.21223/ndya1o/zebw4n
title: DeepLearnig_SymptomScore_Sweetpotato.rar

description: :unav
DOI: 10.5258/soton/d2874
title: Supplementary Data for the article 'Dust source activation frequency in the Horn of Africa'

description: Supplementary Table 1. Dust source activation data from the Horn of Africa from ﻿MSG SEVIRI instrument spanning between 1st of March 2006 and 28th of February 2010. Data includes location of dust activation (longitude and latitude), cloud cover (clear-sky conditions are labelled as 1, clouded conditions as 2) and time of the onset of dust events from 0 to 24 at 1-hour intervals in UTC
DOI: 10.6084/m9.figshare.24787488
title: <b>Supplementary data</b> of "<i>Improving multi-breed genomic prediction by modeling heterogeneous genetic (co)variance blockwise accounting for linkage disequilibrium</i>"

description: The compressed file includes all data files necessary to reproduce the results of our study "<i>Improving multi-breed genomic selection by modeling heterogeneous genetic (co)variance with a blockwise approach accounting for linkage disequilibrium</i>", along with random number seeds for replicating associated sampling or simulation processes.<br><br>The data contained in the folder Keller2022 comes from Keller et al., which consisted of three bean breeding panels: climbing bean panel (VEC), Andean diversity panel (ADP), and the elite Andean breeding panel (VEF), whereas the latter two were bush type bean. Two traits 100-seed weight (100SdW) and yield (Yield) were analysed. The best linear unbiased estimators (BLUEs) for each trait calculated by Keller et al. (2022) were used as the response variable in our study. The numbers of lines with trait records for each panel were from 344 to 587. The filtrated genotype data with 14,913 SNPs located on 11 chromosomes were used in our study.<br>For a detailed introduction to the data, please refer to: https://doi.org/10.7910/DVN/RLAWYN<br><br>The data contained in the folder Xie2021 comes from Xie et al. The populations including 228 Landrace (LL) and 641 Yorkshire (YY). Two traits marbling score (MS) and proportion of fat areas in the image (PFAI) were analysed. All individuals in the dataset had both phenotypes and genotypes. After removing non-autosomal SNPs and those with a minor allele frequency (MAF) less than 0.01, a total number of 37,304 SNPs were remained for subsequent analysis.<br>For a detailed introduction to the data, please refer to: https://doi.org/10.6084/m9.figshare.14274785<br><br>The code and program files related to the dataset can be accessed at the following GitHub website link:<br>https://github.com/CAU-TeamLiuJF/GP-cross-validation
DOI: 10.5281/zenodo.8017410
title: Geophysical indices input file for TIE-GCM

description: A GPI_NCFILE input for the thermosphere-ionosphere-electrodynamics general circulation model (TIE-GCM; Richmond et al., 1992; doi: 10.1029/92GL00401). This file provides Daily F10.7, 81-day centered mean of F10.7, and Kp for the time period 1950-01-01 – 2023-04-28. <strong>Netcdf file description</strong> netcdf gpi_1950001_2023118 {<br> dimensions:<br> ndays = 26781 ;<br> nkp = 8 ;<br> variables:<br> int year_day(ndays) ;<br> year_day:long_name = "4-digit year followed by 3-digit day" ;<br> double f107d(ndays) ;<br> f107d:long_name = "Penticton observed daily 10.7 cm solar flux (sfu)" ;<br> double f107a(ndays) ;<br> f107a:long_name = "Penticton 81-day average 10.7 cm solar flux (sfu)" ;<br> double kp(ndays, nkp) ;<br> kp:long_name = "GFZ 3-hourly Kp index" ; // global attributes:<br> :title = "Geophysical indices input file for TIE-GCM" ;<br> :history = "Created: Thu Jun 8 12:10:20 2023" ;<br> :yearday_beg = 1950003 ;<br> :yearday_end = 2023116 ;<br> :author = "Timothy Kodikara (DLR.de)" ;<br> :write_source = "make_tiegcm_gpincfile.py, write_gpi_ncfile.py" ;<br> :Kp_source = "Geomagnetic Observatory Niemegk, GFZ German Research Centre for Geosciences [doi.org/10.5880/Kp.0001]" ;<br> :F107_source = "Observed solar flux provided by the Dominion Radio Astrophysical Observatory and Natural Resources Canada [ftp://ftp.seismo.nrcan.gc.ca/spaceweather/solar_flux/daily_flux_values/fluxtable.txt]" ;<br> :info = "When using this file, please cite the source as https://doi.org/10.5281/zenodo.8017410" ;<br> }
DOI: 10.5281/zenodo.10410610
title: Dataset and figure generator for Variational Monte Carlo approach applied to the model describing  WSe2 homo-bilayer

description: This data set contains post-processed data obtained from variational Monte-Carlo approach for Hubbard model with complex, spin and direction dependent phase. This model is believed to properly describe the eseential features of WSe2 twisted homo-bilayer. The python notebook included, allows to generate figures regsarding formation of Mott insulating phase and spin ordering.
DOI: 10.5281/zenodo.10410611
title: Dataset and figure generator for Variational Monte Carlo approach applied to the model describing  WSe2 homo-bilayer

description: This data set contains post-processed data obtained from variational Monte-Carlo approach for Hubbard model with complex, spin and direction dependent phase. This model is believed to properly describe the eseential features of WSe2 twisted homo-bilayer. The python notebook included, allows to generate figures regsarding formation of Mott insulating phase and spin ordering.
DOI: 10.48420/24764433
title: XPS data from The effect of Mn doping and Ti<sup>3+</sup> defects at TiO<sub>2</sub> surfaces in NO and SO<sub>2</sub> gas capture investigated using near-ambient pressure X-ray photoelectron spectroscopy

description: Some oxidising air pollutants, such as NOx and SO2 are thought to be linked to premature skin aging. Here we study a model system of titanium dioxide (TiO2) single crystals with and without Mn doping, in order to understand the reaction mechanism and amount of adsorbed gas. We also investigate the effect of O-vacancies formed on the TiO2 surface. We find that Mn leads to an increased uptake of both gases and conversion to sulphite and sulphate. We also find increased surface O-vacancies results in a larger Mn uptake. We then compare these data to reaction of the pollutant gases with two commercial TiO2 powders used in cosmetic products with and without Mn, and although the products are subtly different the uptake is still increased for the Mn-doped sample. The data here are X-ray photoelectron spectra recorded from the different surface treatents and gas exposures.
DOI: 10.48420/24764433.v1
title: XPS data from The effect of Mn doping and Ti<sup>3+</sup> defects at TiO<sub>2</sub> surfaces in NO and SO<sub>2</sub> gas capture investigated using near-ambient pressure X-ray photoelectron spectroscopy

description: Some oxidising air pollutants, such as NOx and SO2 are thought to be linked to premature skin aging. Here we study a model system of titanium dioxide (TiO2) single crystals with and without Mn doping, in order to understand the reaction mechanism and amount of adsorbed gas. We also investigate the effect of O-vacancies formed on the TiO2 surface. We find that Mn leads to an increased uptake of both gases and conversion to sulphite and sulphate. We also find increased surface O-vacancies results in a larger Mn uptake. We then compare these data to reaction of the pollutant gases with two commercial TiO2 powders used in cosmetic products with and without Mn, and although the products are subtly different the uptake is still increased for the Mn-doped sample. The data here are X-ray photoelectron spectra recorded from the different surface treatents and gas exposures.
DOI: 10.5281/zenodo.10407740
title: Potential near-term wetting of the Southwestern United States if the Eastern Pacific cooling trend reverses

description: Data for the manuscript "Potential near-term wetting of the Southwestern United States if the Eastern Pacific cooling trend reverses."
DOI: 10.21252/c1by-d167
title: Data files for paper Substrate-induced strain in molybdenum disulfide grown by aerosol-assisted chemical vapour deposition 

description: These files contain the datasets for the paper Substrate-induced strain in molybdenum disulfide grown by aerosol-assisted chemical vapour deposition.
DOI: 10.5281/zenodo.10401276
title: Data repository for study "Stabilizing international wheat prices through international cooperation after the Russian invasion of Ukraine"

description: This repository contains both the input and output data associated with the study. The data are crucial for running and understanding the results generated by the  TWIST  model and the FSC models.

Directory Structure and Data Description

Input Data

Directory: fsc

Contains files necessary to run the FSC model:



wheat_export_restriction_*.csv: National export restrictions for various scenarios.

wheat_total_production_decline_*.csv: National production reductions for different scenarios.


Directory: twist

Includes files required for the TWIST model simulations:



psd_wheat_*_world_1961to2031.csv: Historical and projected global wheat data for production, consumption and stocks based on USDA-PSD data

World_country_codes.csv: World code reference.

US_BLS_ConsumerPriceIndex_Annual_1960to2019.csv: Annual Consumer Price Index data from the US BLS.

monthlyNominalGrainPricesWB_WheatUSHRW_1960to2022.csv: Monthly nominal observed wheat prices.

Scenario-specific files (world_export_restrictions_*.csv, world_import_strategy_*.csv, world_production_anomaly_*.csv): Global export restrictions, import strategies, and production changes for respective scenarios.


Output Data

Directory: fsc



raw: Contains the raw output data from the FSC model for all scenarios.

processed: Includes datasets of national impaired supply relative to baseline supply and baseline domestic reserves, with results summarized per scenario.


Directory: twist



Contains the raw output data from the TWIST model.


Contact Information

For inquiries, please contact Dr. Kilian Kuhla at kilian.kuhla@pik-potsdam.de