cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7577446
title: Alpha-synuclein ColabFold modeling

description: ColabFold modeling of wild-type human alpha-synuclein and a variant carrying a Ser129Asp mutation
DOI: 10.5281/zenodo.7577445
title: Alpha-synuclein ColabFold modeling

description: ColabFold modeling of wild-type human alpha-synuclein and a variant carrying a Ser129Asp mutation
DOI: 10.6084/m9.figshare.21982643
title: 15_min_city_and_elderly_people_santiago.txt

description: Database of the paper: <br> Ulloa-Leon, F.; Correa-Parra, J.; Vergara-Perucich, F.; Cancino-Contreras, F.; Aguirre-Nuñez, C. 15-Minute City and Elderly People: Thinking about Healthy Cities. <em>Smart Cities </em><strong>2023</strong>, <em>6.</em>
DOI: 10.6084/m9.figshare.21982643.v1
title: 15_min_city_and_elderly_people_santiago.txt

description: Database of the paper: <br> Ulloa-Leon, F.; Correa-Parra, J.; Vergara-Perucich, F.; Cancino-Contreras, F.; Aguirre-Nuñez, C. 15-Minute City and Elderly People: Thinking about Healthy Cities. <em>Smart Cities </em><strong>2023</strong>, <em>6.</em>
DOI: 10.17638/datacat.liverpool.ac.uk/2131
title: INSTRUMENTS OF POWER Developing and Applying Diplomatic Analysis to Enhance Archival Interpretation and Research Uses of Technical Drawings
DOI: 10.3886/icpsr35382.v3
title: Survey of Consumer Attitudes and Behavior, February 2006
title: Version 3

description: The Survey of Consumer Attitudes and Behavior series (also known as the Surveys of Consumers) was undertaken to measure changes in consumer attitudes and expectations, to understand why such changes occur, and to evaluate how they relate to consumer decisions to save, borrow, or make discretionary purchases. The data regularly include the Index of Consumer Sentiment, the Index of Current Economic Conditions, and the Index of Consumer Expectations. Since the 1940s, these surveys have been produced quarterly through 1977 and monthly thereafter. The surveys conducted in 2006 focused on topics such as evaluations and expectations about personal finances, employment, price changes, and the national business situation. Opinions were collected regarding respondents' appraisals of present market conditions for purchasing houses, automobiles, and other durables. Also explored in this survey were respondents' types of savings and financial investments, loan use, family income, retirement planning, mortgage refinancing, general feelings and mental health, willingness to give to charity, and television news viewing. Other topics in this series typically include ownership, lease, and use of automobiles, and respondents' familiarity with and use of the Internet. Demographic information includes ethnic origin, sex, age, marital status, and education.
description: The purpose of this survey series is to forecast changes in aggregate consumer behavior.
description: The data are not weighted, however, this collection contains four weight variables; WT (HOUSEHOLD HEAD WEIGHT), WT_HH (HOUSEHOLD WEIGHT), WT_ADHD (ADULT HEAD WEIGHT), and WT_AD (ADULT WEIGHT) that must be used in any analysis. For more information on weights and sampling, please refer to the documentation and/or visit the Surveys of Consumers Web site.
description: National sampling of dwelling units selected by area probability sampling.
description: Datasets: DS1: Survey of Consumer Attitudes and Behavior, February 2006
description: Persons aged 18 years or older living in households with telephones within the United States. Smallest Geographic Unit: Census division
description: computer-assisted telephone interview (CATI)Information on the Index of Consumer Sentiment, the Index of Current Economic Conditions, and the Index of Consumer Expectations and how they were created can be found in the P.I. Codebook.Additional information on the Survey of Consumers can be found by visiting the Surveys of Consumers Web site.
DOI: 10.17028/rd.lboro.21976340
title: Research data for “Excited-state energy component analysis for molecules – Why the lowest excited state is not always the HOMO-LUMO transition”

description: Research data underlying the manuscript “Excited-state energy component analysis for molecules – Why the lowest excited state is not always the HOMO-LUMO transition” by P. Kimber and F. Plasser Content (names of folders and files are given in bold face) Computations were performed on <strong>ACRFLCN</strong> and <strong>naphthalene</strong> as defined in the text. These folders contain subfolders for: <strong>OPT</strong>: geometry optimisation at the ωPBEh/def2-SV(P) level (ω = 0.200 a.u., CHF = 0.20) <strong>VEX</strong>: Vertical excitations computations using optimally tuned values of ω for each molecule Each <strong>VEX</strong> folder contains: <strong>E_component</strong>: Performing energy component analysis as defined in the text <strong>ESP: </strong>Generation of cube files for excited state natural transition orbitals, densities and electrostatic potentials <strong>orb_pairs</strong>: Generation of natural transition orbital pairs which are provided in the electronic supplementary information <strong>theodore</strong>: General post-processing of excited state computations for obtaining the exciton size, dexc The folders contain the following files: <strong>coord.qcin</strong>: Input geometry for Q-Chem <strong>final.xyz</strong>: Final geometry after geometry optimisation <strong>qchem.in</strong>: Input file for Q-Chem <strong>qchem.out</strong>: Output file for Q-Chem <strong>tden_summ.txt</strong>: Output file for TheoDORE summarising excited state properties Data and latex code underlying figures are provided for <strong>Fig4</strong> and <strong>Fig7</strong>.
DOI: 10.17028/rd.lboro.21976340.v1
title: Research data for “Excited-state energy component analysis for molecules – Why the lowest excited state is not always the HOMO-LUMO transition”

description: Research data underlying the manuscript “Excited-state energy component analysis for molecules – Why the lowest excited state is not always the HOMO-LUMO transition” by P. Kimber and F. Plasser Content (names of folders and files are given in bold face) Computations were performed on <strong>ACRFLCN</strong> and <strong>naphthalene</strong> as defined in the text. These folders contain subfolders for: <strong>OPT</strong>: geometry optimisation at the ωPBEh/def2-SV(P) level (ω = 0.200 a.u., CHF = 0.20) <strong>VEX</strong>: Vertical excitations computations using optimally tuned values of ω for each molecule Each <strong>VEX</strong> folder contains: <strong>E_component</strong>: Performing energy component analysis as defined in the text <strong>ESP: </strong>Generation of cube files for excited state natural transition orbitals, densities and electrostatic potentials <strong>orb_pairs</strong>: Generation of natural transition orbital pairs which are provided in the electronic supplementary information <strong>theodore</strong>: General post-processing of excited state computations for obtaining the exciton size, dexc The folders contain the following files: <strong>coord.qcin</strong>: Input geometry for Q-Chem <strong>final.xyz</strong>: Final geometry after geometry optimisation <strong>qchem.in</strong>: Input file for Q-Chem <strong>qchem.out</strong>: Output file for Q-Chem <strong>tden_summ.txt</strong>: Output file for TheoDORE summarising excited state properties Data and latex code underlying figures are provided for <strong>Fig4</strong> and <strong>Fig7</strong>.
DOI: 10.5519/qd.knc8hqmc
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.7590083
title: Raw Data for IntoValue Dataset

description: This data deposit includes large raw data used for the "IntoValue" dataset, which underlies several projects at the QUEST Center for Responsible Research in the Berlin Institute of Health (BIH) @ Charité. An initial version of the IntoValue dataset is available in Zenodo: https://doi.org/10.5281/zenodo.5141342. Based on this initial version, the dataset is actively developed and maintained in GitHub: https://github.com/maia-sh/intovalue-data. This Zenodo deposit serves to store large raw data files for individual trials and are used in that GitHub repository. These data are deposited for computational reproducibility and documentation; they are not intended to be used for additional projects and do not reflect the most current/accurate data available from each source. This deposit contains raw data from the following sources: <strong>PubMed</strong> (<code>pubmed.zip</code>): PubMed XML files are provided courtesty of the U.S. National Library of Medicine and were accessed via the Entrez Programming Utilities (E-utilities) API. The files were downloaded on 2021-08-15 and do not reflect the most current/accurate data available from NLM. The following scripts were used to download and create these files: get-pubmed.R; download-pubmed.R. <strong>German Clinical Trials Registry (DRKS)</strong> (<code>drks.zip</code>): DRKS does not provide an API and was webscrapped on 2022-11-01. The following scripts were used to download and create these XML files: get-drks.R; drks-functions.R <strong>ClinicalTrials.gov</strong> (<code>ctgov.zip</code>): ClinicalTrials.gov was accessed via the Clinical Trials Transformation Initiative (CTTI) Aggregate Content of ClinicalTrials.gov (AACT) via its PostgreSQL database API.The API was queried and CSV files were generated on 2022-11-01. The following scripts were used to download and create these files: get-process-aact.R. <strong>ClinicalTrials.gov 2018</strong> (<code>ctgov_2018.zip</code>): Additional trial data for 2018. ClinicalTrials.gov was accessed via the Clinical Trials Transformation Initiative (CTTI) Aggregate Content of ClinicalTrials.gov (AACT) via its PostgreSQL database API.The API was queried and CSV files were generated on 2022-11-01. The following scripts were used to download and create these files: get-process-aact.R.
description: This work was funded under a grant from the Federal Ministry of Education and Research of Germany (Bundesministerium für Bildung und Forschung - BMBF) [01PW18012].
DOI: 10.5281/zenodo.5506433
title: Raw Data for IntoValue Dataset

description: This data deposit includes large raw data used for the "IntoValue" dataset, which underlies several projects at the QUEST Center for Responsible Research in the Berlin Institute of Health (BIH) @ Charité. An initial version of the IntoValue dataset is available in Zenodo: https://doi.org/10.5281/zenodo.5141342. Based on this initial version, the dataset is actively developed and maintained in GitHub: https://github.com/maia-sh/intovalue-data. This Zenodo deposit serves to store large raw data files for individual trials and are used in that GitHub repository. These data are deposited for computational reproducibility and documentation; they are not intended to be used for additional projects and do not reflect the most current/accurate data available from each source. This deposit contains raw data from the following sources: <strong>PubMed</strong> (<code>pubmed.zip</code>): PubMed XML files are provided courtesty of the U.S. National Library of Medicine and were accessed via the Entrez Programming Utilities (E-utilities) API. The files were downloaded on 2021-08-15 and do not reflect the most current/accurate data available from NLM. The following scripts were used to download and create these files: get-pubmed.R; download-pubmed.R. <strong>German Clinical Trials Registry (DRKS)</strong> (<code>drks.zip</code>): DRKS does not provide an API and was webscrapped on 2022-11-01. The following scripts were used to download and create these XML files: get-drks.R; drks-functions.R <strong>ClinicalTrials.gov</strong> (<code>ctgov.zip</code>): ClinicalTrials.gov was accessed via the Clinical Trials Transformation Initiative (CTTI) Aggregate Content of ClinicalTrials.gov (AACT) via its PostgreSQL database API.The API was queried and CSV files were generated on 2022-11-01. The following scripts were used to download and create these files: get-process-aact.R. <strong>ClinicalTrials.gov 2018</strong> (<code>ctgov_2018.zip</code>): Additional trial data for 2018. ClinicalTrials.gov was accessed via the Clinical Trials Transformation Initiative (CTTI) Aggregate Content of ClinicalTrials.gov (AACT) via its PostgreSQL database API.The API was queried and CSV files were generated on 2022-11-01. The following scripts were used to download and create these files: get-process-aact.R.
description: This work was funded under a grant from the Federal Ministry of Education and Research of Germany (Bundesministerium für Bildung und Forschung - BMBF) [01PW18012].
DOI: 10.6084/m9.figshare.21982607
title: Data_COVID-19.1.xlsx

description: Database with records of positive cases for COVID-19 in the municipality of Foz do Iguaçu, Parana, Brazil. It does not contain sensitive information about patients.
DOI: 10.6084/m9.figshare.21982607.v1
title: Data_COVID-19.1.xlsx

description: Database with records of positive cases for COVID-19 in the municipality of Foz do Iguaçu, Parana, Brazil. It does not contain sensitive information about patients.
DOI: 10.35078/ae044i
title: Replication Data for: Ficha epidemiológica de localidade: Distrito: Teófilo Otoni | Município: Frei Gaspar

description: Levantamento Triatomínico com operações de campo ocorridas em Minas Gerais pela Superintendência de Campanhas de Saúde Pública (SUCAM) e FUNASA (Fundação Nacional de Saúde), no período de 1979 a 1999, objetivando a busca da presença de vetores da doença de Chagas ou de vestígios dessa presença. A partir dela são orientadas as operações com inseticida (pt) Triatomine survey with field operations carried out in Minas Gerais by the Public Health Campaigns Superintendence (SUCAM) and FUNASA (National Health Foundation), from 1979 to 1999, aiming to search for the presence of Chagas disease vectors or traces of that presence. From it, operations with insecticide are guided (en) Encuesta de triatominos con operaciones de campo realizada en Minas Gerais por la Superintendencia de Campañas de Salud Pública (SUCAM) y FUNASA (Fundación Nacional de Salud), de 1979 a 1999, con el objetivo de buscar la presencia de vectores de la enfermedad de Chagas o rastros de esa presencia. Desde ella se orientan las operaciones con insecticida (es)
DOI: 10.5281/zenodo.7586134
title: Moored echo and turbidity measurements in the Southern Adriatic Sea at mooring site BB and FF, March 2012-June 2020

description: This data set includes four files (CSV format) containing observational data from two oceanographic moorings, BB and FF, located in the Southern Adriatic Sea from the period between March 2012 and June 2020. The stand-alone moorings are equipped with a 300 kHz ADCP-RDI system, which measures currents along the last 100 meters of the water column and a CTD recorder equipped with SeaPoint turbidity meter sensor located approximatively 10 m above the bottom. The turbidity sensor measures in a range of 0-25 FTU. Moorings were configured and maintained for continuous long-term monitoring following the approach of the CIESM Hydrochanges Program (www.ciesm.org/marine/programs/hydrochanges.html). The moorings are currently operational as from 2021 they have joined the southern Adriatic Sea submarine observatory system of the EMSO-ERIC European Consortium. The data were subjected to quality control (QC) and the coding numbers used, shown in a dedicated column, follow the SeaDataNet L20 measurement qualifiers flags. QC applied on echo data consists of detecting signal anomalies due to interactions with the seafloor and identifying if the signal falls below a minimum threshold for which the value is no longer considered reliable. For turbidity data, QC is addressed to the detections of possible spikes, anomalies, and sensor saturation in the recordings.
DOI: 10.5281/zenodo.7586133
title: Moored echo and turbidity measurements in the Southern Adriatic Sea at mooring site BB and FF, March 2012-June 2020

description: This data set includes four files (CSV format) containing observational data from two oceanographic moorings, BB and FF, located in the Southern Adriatic Sea from the period between March 2012 and June 2020. The stand-alone moorings are equipped with a 300 kHz ADCP-RDI system, which measures currents along the last 100 meters of the water column and a CTD recorder equipped with SeaPoint turbidity meter sensor located approximatively 10 m above the bottom. The turbidity sensor measures in a range of 0-25 FTU. Moorings were configured and maintained for continuous long-term monitoring following the approach of the CIESM Hydrochanges Program (www.ciesm.org/marine/programs/hydrochanges.html). The moorings are currently operational as from 2021 they have joined the southern Adriatic Sea submarine observatory system of the EMSO-ERIC European Consortium. The data were subjected to quality control (QC) and the coding numbers used, shown in a dedicated column, follow the SeaDataNet L20 measurement qualifiers flags. QC applied on echo data consists of detecting signal anomalies due to interactions with the seafloor and identifying if the signal falls below a minimum threshold for which the value is no longer considered reliable. For turbidity data, QC is addressed to the detections of possible spikes, anomalies, and sensor saturation in the recordings.
DOI: 10.57966/46j5-5k27
title: International Measures of Schooling Years and Schooling Quality
DOI: 10.57966/vxd6-r947
title: Professional Services Knowledge Platform Africa
DOI: 10.57966/1gj1-qk10
title: A Cross-country Database for Sector Investment and Capital
DOI: 10.57966/3bb0-zr83
title: WORLD - external geospatial platforms: POPULATION
DOI: 10.57966/xmh8-7t45
title: Global Solar Atlas Application
DOI: 10.57966/rmpa-2131
title: World - Optimum Tilt to Maximize Yearly Yield (OPTA) GIS Data, (Global Solar Atlas)
DOI: 10.57966/4gcm-4t78
title: MODIS Thermal Activity
DOI: 10.57966/077c-gx81
title: Corporate Scorecard Indicators 2013
DOI: 10.57966/9w59-af74
title: Country Partnership Strategy for India (FY2013 - 17)
DOI: 10.57966/4rn7-2x90
title: Carbon Pricing Dashboard
DOI: 10.57966/kk20-v102
title: Global cyclone hazard
DOI: 10.57966/vmjz-0m58
title: The Costs of Meeting the 2030 SDG targets on Drinking Water, Sanitation, and Hygiene
DOI: 10.57966/7f88-3a46
title: WORLD - external geospatial platforms: FOOD/ AGRICULTURE
DOI: 10.57966/yab0-ax33
title: China: Pollution Indicators and Status
DOI: 10.57966/mk8h-6x92
title: Readiness for Investment in Sustainable Energy
DOI: 10.57966/0bcm-ta20
title: TCdata360
DOI: 10.57966/3jvy-7d44
title: Measuring Aid Flows: A New Approach
DOI: 10.57966/7wdj-a730
title: Bolivia Agricultural Public Expenditure Review
DOI: 10.57966/68vq-8b25
title: Climate For Development
DOI: 10.57966/zvtt-kr41
title: Ethiopia -  land cover 2017
DOI: 10.57966/7wbr-h433
title: World Development Report 2021 - Maps O.4 and 5.1
DOI: 10.57966/e5z7-p557
title: WORLD - external geospatial platforms: HAZARD
DOI: 10.57966/xrn4-5z44
title: Arab World Education Performance Indicators
DOI: 10.57966/3fqg-8s78
title: Romania Counties
DOI: 10.57966/4kaj-5r53
title: Hidden Dimensions of Poverty Dataset (HDD)
DOI: 10.57966/dghn-tj92
title: Agricultural Capital Revisited
DOI: 10.57966/2gz0-7048
title: Romania Cities with Disadvantaged Population
DOI: 10.57966/xvv4-1k55
title: Bogota, Colombia - Transmilenio and SITP Transit Services (General Transit Feed specification - GTFS)
DOI: 10.57966/ptyg-s755
title: Ethiopia - Land cover 2017 and 2018 IAP
DOI: 10.57966/jnep-hx54
title: Global Wind Atlas
DOI: 10.35078/ght1fl
title: Replication Data for: Ficha epidemiológica de localidade: Distrito: Teófilo Otoni | Município: Coronel Murta

description: Levantamento Triatomínico com operações de campo ocorridas em Minas Gerais pela Superintendência de Campanhas de Saúde Pública (SUCAM) e FUNASA (Fundação Nacional de Saúde), no período de 1979 a 1999, objetivando a busca da presença de vetores da doença de Chagas ou de vestígios dessa presença. A partir dela são orientadas as operações com inseticida (pt) Triatomine survey with field operations carried out in Minas Gerais by the Public Health Campaigns Superintendence (SUCAM) and FUNASA (National Health Foundation), from 1979 to 1999, aiming to search for the presence of Chagas disease vectors or traces of that presence. From it, operations with insecticide are guided (en) Encuesta de triatominos con operaciones de campo realizada en Minas Gerais por la Superintendencia de Campañas de Salud Pública (SUCAM) y FUNASA (Fundación Nacional de Salud), de 1979 a 1999, con el objetivo de buscar la presencia de vectores de la enfermedad de Chagas o rastros de esa presencia. Desde ella se orientan las operaciones con insecticida (es)
DOI: 10.17876/plate/dr.3/plates/109_68258
title: Digital object identifier (DOI) for the plate 68258 in archive 109 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/109_68259
title: Digital object identifier (DOI) for the plate 68259 in archive 109 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/109_68260
title: Digital object identifier (DOI) for the plate 68260 in archive 109 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/109_68261
title: Digital object identifier (DOI) for the plate 68261 in archive 109 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/109_68262
title: Digital object identifier (DOI) for the plate 68262 in archive 109 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/109_68263
title: Digital object identifier (DOI) for the plate 68263 in archive 109 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/109_68264
title: Digital object identifier (DOI) for the plate 68264 in archive 109 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/109_68265
title: Digital object identifier (DOI) for the plate 68265 in archive 109 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/109_68266
title: Digital object identifier (DOI) for the plate 68266 in archive 109 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/109_68267
title: Digital object identifier (DOI) for the plate 68267 in archive 109 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/109_68268
title: Digital object identifier (DOI) for the plate 68268 in archive 109 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/109_68269
title: Digital object identifier (DOI) for the plate 68269 in archive 109 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/109_68270
title: Digital object identifier (DOI) for the plate 68270 in archive 109 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/109_68271
title: Digital object identifier (DOI) for the plate 68271 in archive 109 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/109_68272
title: Digital object identifier (DOI) for the plate 68272 in archive 109 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/109_68273
title: Digital object identifier (DOI) for the plate 68273 in archive 109 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/109_68274
title: Digital object identifier (DOI) for the plate 68274 in archive 109 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/109_68275
title: Digital object identifier (DOI) for the plate 68275 in archive 109 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/109_68276
title: Digital object identifier (DOI) for the plate 68276 in archive 109 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/109_68277
title: Digital object identifier (DOI) for the plate 68277 in archive 109 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/109_68278
title: Digital object identifier (DOI) for the plate 68278 in archive 109 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/109_68279
title: Digital object identifier (DOI) for the plate 68279 in archive 109 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/109_68280
title: Digital object identifier (DOI) for the plate 68280 in archive 109 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/109_68281
title: Digital object identifier (DOI) for the plate 68281 in archive 109 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/109_68282
title: Digital object identifier (DOI) for the plate 68282 in archive 109 from the APPLAUSE DR3