cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2f1z3l
title: CCDC 2236219: Experimental Crystal Structure Determination

description: Related Article: Dong Qiu, Huiyang Liu, Shuai Sun, Hongyan Ni, Yijin Su|2023|Chem.Commun.|59|2807|doi:10.1039/D2CC06138D
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.cc2f27h8
title: CCDC 2236479: Experimental Crystal Structure Determination

description: Related Article: Casper Larsen Barlse, Jonas Faghtmann, René Slot Bitsch, Joseph Daniel Gbubele, Karl Anker Jrgensen|2023|Org.Lett.|25|1209|doi:10.1021/acs.orglett.3c00220
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.cc2drqyv
title: CCDC 2227348: Experimental Crystal Structure Determination

description: Related Article: Taiki Imagawa, Luisa Giarrana, Diego M. Andrada, Bernd Morgenstern, Masaaki Nakamoto, David Scheschkewitz|2023|J.Am.Chem.Soc.|145|4757|doi:10.1021/jacs.2c13530
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: 10.6084/m9.figshare.22202980
title: nonagriculural_poverty.dta

description: The data from the census in Vietnam
DOI: 10.6084/m9.figshare.22202980.v1
title: nonagriculural_poverty.dta

description: The data from the census in Vietnam
DOI: 10.48579/pro/fo651x/hzawwe
title: BRAMM_campagne_2000_INDORES.tab

description: :unav
DOI: 10.48579/pro/fo651x/coebfa
title: Fiche de métadonnées_BRAMM2000.xls

description: :unav
DOI: 10.34740/kaggle/ds/2958402
title: AdultoMayor_7_fc
DOI: 10.17632/r7z6rmhbc5.1
title: Research Data:  How many vs which: On confined track selection criteria for apatite fission track analysis and consequences for thermal history reconstruction

description: Research Data for experiment 1 and experiment 2
DOI: 10.17632/6xg39x9vgd.1
title: taxi order data

description:  the data of a total of approximately 7,5831 orders from  473 taxis in Xiamen, China, for the month of June 2019
DOI: 10.17632/nwvb7fsgrm.1
title: CURRENT SITUATION AND FACTORS RELATED TO STRESS, ANXIETY, AND DEPRESSION OF PHARMACEUTICAL PERSONNEL AT SOME DISTRICT PUBLIC HEALTH FACILITIES: A CROSS-SECTIONAL STUDY IN VIETNAM

description: Descriptive data about current situation and factors related to stress, anxiety, and depression of pharmaceutical personnel at some district public health facilities in Vietnam.
DOI: 10.17632/nwvb7fsgrm.2
title: CURRENT SITUATION AND FACTORS RELATED TO STRESS, ANXIETY, AND DEPRESSION OF PHARMACEUTICAL PERSONNEL AT SOME DISTRICT PUBLIC HEALTH FACILITIES: A CROSS-SECTIONAL STUDY IN VIETNAM

description: Descriptive data about current situation and factors related to stress, anxiety, and depression of pharmaceutical personnel at some district public health facilities in Vietnam.
DOI: 10.17632/k6b64tt7sy.1
title: 2022 Ground Truth Dataset - windshield survey - Chai Badan, Lop Buri, Thailand

description: This database was collected for agriculture statistics related work by our field survey experts in Chai Badan district, Lop Buri province, Thailand, in July 2022. As the fieldwork result, 108 points were collected by windshield survey using the QField mobile application from inside a passenger vehicle. According to GT database format, our database contains 108 records of a geographic layer in shapefile format (point), and the geographic coordinate system is GCS_WGS_1984. In addition, each record corresponds to a point format with ten attributes, including a unique feature ID, the format of the feature (such as point), type of land cover of the point, type of crop of the point, name of the ground truth point when collecting in the field, date and time of the ground truth data collection, X and Y coordination of the point, and intercrop (presence or absence of intercropping [single crop, mixed crop, etc.]).
DOI: 10.17632/xjr8cn2gw2.1
title: Source data

description: Source data for "Early time-restricted eating improves markers of cardiometabolic health but has no impact on nutrient absorption in healthy adults"
DOI: 10.17632/7fhcctgdy6.1
title: 2022 Ground Truth Dataset - in-situ - Chai Badan, Lop Buri, Thailand 

description: This database was collected at field scale by our field survey experts in Chai Badan district, Lop Buri province, Thailand, in July 2022. As the fieldwork result, 89 points were collected in-situ using the global positioning system (GPS) waypoints. According to GT database format, our database contains 89 records of a geographic layer in shapefile format (point), and the geographic coordinate system is GCS_WGS_1984. In addition, each record corresponds to a point format with ten attributes, including a unique feature ID, the format of the feature (such as point), type of land cover of the point, type of crop of the point, name of the ground truth point when collecting in the field, date and time of the ground truth data collection, X and Y coordination of the point, and intercrop (presence or absence of intercropping [single crop, mixed crop, etc.]).
DOI: 10.17632/ztz34f5st2.1
title: Supplementary data sets for the PNAS Nexus 2023 manuscript by Xiaokang et al

description: Wild_Type includes data for the wild type (WT) system with all three methyltransferases (G9a, SETDB1 and SUV39H1/2) present at 100% concentration
SETDB1_75: SetDB1 knocked down to a 75% concentration (with respect to WT)
SETDB1_50: SetDB1 knocked down to a 50% concentration
G9A_75: G9A knocked down to a 75% concentration
G9A_50: G9A knocked down to a 50% concentration
SUV_75: Suv39h knocked down to a 75% concentration
SUV_50: Suv39h knocked down to a 50% concentration

Rows contain data for the respective time steps
Columns contain data for the respective H3K9 methylation states (0 = H3K9me0, 1 = H3K9me1, 2 = H3K9me2, and 3 = H3K9me3)

For the ensemble averages, the rows represent time and the columns the abundance of each methylation state:
(Column 1 is H3K9me0, Column 2 = H3K9me1, Column 3 = H3K9me2, and Column 4 = H3K9me3)
As a note, H3K9me0 column starts at 100 and the H3K9me3 column starts at 2 due to the two pre methylated ones.
DOI: 10.57745/adddmf
title: v2015_2016_ALPES_ALL_ANNUALv2016-2021.tiff

description: Annually aggregated glacier surface flow velocity for the hydrological year 2015-2016 (the hydrological year starts the 1st of October and finishes the 30 of September of the following year)
DOI: 10.57745/h3xqqz
title: v2020_2021_ALPES_ALL_ANNUALv2016-2021.tiff

description: Annually aggregated glacier surface flow velocity for the hydrological year 2020-2021 (the hydrological year starts the 1st of October and finishes the 30 of September of the following year)
DOI: 10.57745/ah5r9z
title: v2018_2019_ALPES_ALL_ANNUALv2016-2021.tiff

description: Annually aggregated glacier surface flow velocity for the hydrological year 2018-2019 (the hydrological year starts the 1st of October and finishes the 30 of September of the following year)
DOI: 10.57745/l35qng
title: stdeva_ALPES_ALL_ANNUALv2016-2021.tiff

description: Standard deviation on the direction of the glacier surface flow
DOI: 10.17632/chrj892zny.1
title: A Ouvidoria como Manifestação da Transparência Passiva nos Regimes Próprios de Previdência dos Municípios Fluminenses

description: Article's database.
DOI: 10.57745/xqayol
title: dir_ALPES_ALL_ANNUALv2016-2021.tiff

description: Flow direction (= angle between the flow vector and x-axis, in radians).
DOI: 10.57745/kfhiyn
title: v2016_2017_ALPES_ALL_ANNUALv2016-2021.tiff

description: Annually aggregated glacier surface flow velocity for the hydrological year 2016-2017 (the hydrological year starts the 1st of October and finishes the 30 of September of the following year)
DOI: 10.57745/gttnro
title: trend2015_2021_ALPES_ALL_ANNUALv2016-2021.tiff

description: Trend on surface flow velocity other the study period (2015-2021)
DOI: 10.57745/pzbyso
title: cnt_ALPES_ALL_ANNUALv2016-2021.tiff

description: Number of image pairs used to generate the displacement maps that have been aggregated to obtain the glacier surface flow velocity products (data per pixel).
DOI: 10.57745/odzxdx
title: v2019_2020_ALPES_ALL_ANNUALv2016-2021.tiff

description: Annually aggregated glacier surface flow velocity for the hydrological year 2019-2020 (the hydrological year starts the 1st of October and finishes the 30 of September of the following year)
DOI: 10.57745/ez03ok
title: trendmask_ALPES_ALL_ANNUALv2016-2021.tiff

description: Mask on pixels considered with a non-significant trend. Pixels showing time series with non-significant trend (Kendall rank of correlation test with a p-value &gt; 0.05) are masked. Masked pixels: 0; Non-masked pixel: 1
DOI: 10.57745/vfgjii
title: stdev_ALPES_ALL_ANNUALv2016-2021.tiff

description: Standard deviation on the velocity for each pixel
DOI: 10.57745/frsph5
title: v2017_2018_ALPES_ALL_ANNUALv2016-2021.tiff

description: Annually aggregated glacier surface flow velocity for the hydrological year 2017-2018 (the hydrological year starts the 1st of October and finishes the 30 of September of the following year)
DOI: 10.57745/vjyarh
title: ALPES_wFLAG_wKT_ANNUALv2016-2021.nc

description: This file includes 13 layers: • v2015-2016: Annually aggregated glacier surface flow velocity for the hydrological year 2015-2016 (the hydrological year starts the 1st of October and finishes the 30 of September of the following year). • v2016-2017: Same as before but for the hydrological year 2016-2017. • v2017-2018: Same as before but for the hydrological year 2017-2018. • v2018-2019: Same as before but for the hydrological year 2018-2019. • v2019-2020: Same as before but for the hydrological year 2019-2020. • v2020-2021: Same as before but for the hydrological year 2020-2021. • dir: Flow direction (= angle between the flow vector and x-axis, in radians). • cnt: Number of image pairs used to generate the displacement maps that have been aggregated to obtain the glacier surface flow velocity products (data per pixel). • stdev: Standard deviation on the velocity for each pixel. • stdeva: Standard deviation on the direction of the glacier surface flow. • flag: Error flag mask on pixels considered as unreliable. Such pixels have been flagged according to the following criteria: (i) coefficient of variation of the glacier surface flow velocity higher than 75% in order to mask areas with unreliable variability (e.g., glacier edges); (ii) standard deviation of the glacier flow direction higher than 2.5° in order to mask areas with unreliable flow direction changes. • trend_2015-2021: trend on surface flow velocity other the study period (2015-2021). • trend_mask: mask on pixels considered with a non-significant trend. Pixels showing time series with non-significant trend (Kendall rank of correlation test with a p-value &gt; 0.05) are masked. Masked pixels: 0 Non-masked pixel. All maps are georeferenced under the UTM Z32N projection.
DOI: 10.57745/oql6jl
title: flag_ALPES_ALL_ANNUALv2016-2021.tiff

description: Error flag mask on pixels considered as unreliable. Masked pixels: 0 ; Non-masked pixel: 1. Such pixels have been flagged according to the following criteria: (i) coefficient of variation of the glacier surface flow velocity higher than 75% in order to mask areas with unreliable variability (e.g., glacier edges); (ii) standard deviation of the glacier flow direction higher than 2.5° in order to mask areas with unreliable flow direction changes.
DOI: 10.17632/cpm93pdrmm.1
title: Supplementary table 1. Template for scoring the requirements to select a candidate application

description: Template for scoring the requirements to select a candidate application.
DOI: 10.17632/5yp8wp42ky.1
title: Supplementary table 1

description: The complete results of the mapping exercise with the assessment of the presence of core dataset domain items and measurement instruments, and the pooling ability of measurement instruments and domain items.
DOI: 10.17632/z8gffs57rx.1
title: Measured data by Cold Atom Gravimeter USTC-AG11

description: This is a data file from Cold atom gravimeter USTC-AG11.
DOI: 10.17632/gw94md4hz3.1
title: BWR 2x2 Datasets

description: Datasets are generated using Serpent and PARCS/Polaris nuclear simulation codes for boiling water reactor 2x2 2D fuel bundles. There are 2400 data points for 200 independent fuel cycle.
DOI: 10.17632/gw94md4hz3.2
title: BWR 2x2 Datasets

description: Datasets are generated using Serpent and PARCS/Polaris nuclear simulation codes for boiling water reactor 2x2 2D fuel bundles. There are 2400 data points for 200 independent fuel cycle.
DOI: 10.17632/vh7ktg8py4.1
title: Agricultural system resilience re-measuring and study with agro-ecological efficiency synergistic evolutionary in China

description: Image dataset about an article
DOI: 10.17632/83sb8nxw4f.1
title: Data for: Regional variations in vaccination against COVID-19 in Germany

description: This dataset contains merged data from the German Robert Koch Institute (RKI) and INKAR of the Federal Institute for Research on Building, Urban Affairs and Spatial Development (BBSR) used for the main analysis in the paper: "Bade, Verena and Schmitz, Hendrik and Tawiah, Beatrice Baaba, Regional Variations in Vaccination Against Covid-19 in Germany (February 28, 2023). Available at SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4372482."
DOI: 10.5281/zenodo.4736561
title: OpenAIRE Graph: Dump for Transport Research community

description: This dump provides access to the metadata records of publications, research data, software and projects<br> relevant for the research community in Transport.<br> The dump contains the records available in the OpenAIRE Gateway for Transport Research.<br> of the BEOPEN Transport Observatory for Promoting Open Science (TOPOS).<br> Records are identified via full-text mining and inference techniques applied to the<br> OpenAIRE Graph.<br> The OpenAIRE Graph is one of the largest Open Access collections of metadata records and links between publications,<br> datasets, software, projects, funders, and organizations, aggregating 70,000+ scientific data sources world-wide,<br> among which journals in Transport research and the Zenodo community "BE OPEN".The dump consists of a tar archive containing gzip files with one json per line.<br> Each json is compliant to the schema available at https://doi.org/10.5281/zenodo.4723499
description: A new version of this dataset is published regularly. The content available on the the OpenAIRE Gateway for Transport Research (https://beopen.openaire.eu/) might be more up-to-date with respect to the data you find here. The dump is also used by Scipedia to populate the TOPOS for individuals available at https://www.scipedia.com/institution/beopen-project.eu
DOI: 10.5281/zenodo.4736560
title: OpenAIRE Graph: Dump for Transport Research community

description: This dump provides access to the metadata records of publications, research data, software and projects<br> relevant for the research community in Transport.<br> The dump contains the records available in the OpenAIRE Gateway for Transport Research.<br> of the BEOPEN Transport Observatory for Promoting Open Science (TOPOS).<br> Records are identified via full-text mining and inference techniques applied to the<br> OpenAIRE Graph.<br> The OpenAIRE Graph is one of the largest Open Access collections of metadata records and links between publications,<br> datasets, software, projects, funders, and organizations, aggregating 70,000+ scientific data sources world-wide,<br> among which journals in Transport research and the Zenodo community "BE OPEN".The dump consists of a tar archive containing gzip files with one json per line.<br> Each json is compliant to the schema available at https://doi.org/10.5281/zenodo.4723499
description: A new version of this dataset is published regularly. The content available on the the OpenAIRE Gateway for Transport Research (https://beopen.openaire.eu/) might be more up-to-date with respect to the data you find here. The dump is also used by Scipedia to populate the TOPOS for individuals available at https://www.scipedia.com/institution/beopen-project.eu
DOI: 10.17632/r8hskb7vn3.1
title: Testosterone immunomodulation in free-living and captive Rhinella icterica male toads

description: Full data for the paper: Testosterone immunomodulation in free-living and captive Rhinella icterica male toads, published in Philosophical transactions of the royal society B.
DOI: 10.17632/g97g6wgyjr.1
title: Transport megaproject management in Africa: trends, literature review and relevance to Europe Dataset

description: This dataset provides additional information for our work titled, "Transport megaproject management in Africa: trends, literature review and relevance to Europe." 

Supplementary annex 1 overviews the 36 selected and reviewed literature on African transport infrastructure estimating and management. It names the author, article title, publisher, the region (focus area) of the article, methodology used, data sources, sample size, and the megaproject major and specific theme of the study. The papers were selected after an extensive review of African transport megaprojects research.

Supplementary annex 2 datils the ongoing projects in Africa during 2019-2022 arranged by Value. The country, project name, client, funder,contractor, construction management challenges, and project cost are tabulated. An extensive review of available data on the internet using databases and browsers such as google was used to collect data on current projects. Magazines, websites about transport projects, and news articles from reputable organizations are among the sources used to build up this data. Many of the sources are highlighted. The challenges column mentions the notable megaprojects management challenges on African projects that mostly result in cost overruns and schedule delays. Africa had megaprojects totaling 153 billion USD. In this study, we proposed defining a megaproject in Africa as a project with a project cost of 1% of the country's Gross Domestic Product at the time of inception. The risk the country can accommodate is considered and the complexity of the project work. Also, many African countries have low GDP and projects around 500 million USD are considered megaprojects in this context.

Supplementary annex 3 is an excel file with computations on Africa and the European Union (EU) projects during 2019-2022. The excel file contains eight sheets. They include EU projects, project value, distribution of funders for EU projects, projects per EU country by value number (contract size grouping), African project funding, and reference for African projects. The file has comparisons of the EU and Africa. Both blocs are doing differently economically, yet Africa almost equals the EU on projects above 10 billion USD. Africa´s project funding mainly comes from outside sources, while the EU primarily funds its projects.  

The supplementary annexes can be used to provide additional insights on the results section of the article "Transport megaproject management in Africa: trends, literature review and relevance to Europe."
DOI: 10.17632/jk9d6zhrtr.1
title: Supporting Information

description: Table S1. Patient-reported side effects
Table S2. Baseline and follow-up scores  in our daily practice cohort, limited daily practice literature and clinical trials (dupilumab (Q2W) treatment)
Figure S1. Estimated mean change in Dermatology Life Quality Index (DLQI) scores in patients with atopic dermatitis from start until 16 weeks of dupilumab treatment (n=95)
Figure S2. Investigator Global Assessment (IGA) scores at baseline and follow-up ( between 12 and 16 weeks)
Appendix 1 -  Criteria for dupilumab treatment set forth by the Dutch Society of Dermatology (NVDV)
Appendix 2 – Histograms, Akaike Information Criterion (AIC) of original and sqrt-transformed scale
DOI: 10.17632/2nnsrpr873.1
title: Unveiling the miRNAs responsive to physical activity/exercise training in cancer: A systematic review

description: scientific research for publishing the article
DOI: 10.48579/pro/njmwih/vwundw
title: Fiche de métadonnées_BRAMM2011.xls

description: :unav
DOI: 10.48579/pro/njmwih/2zx13k
title: BRAMM_campagne_2011_INDORES.tab

description: :unav
DOI: 10.6084/m9.figshare.22202628
title: RaMP Database MySQL Dump V2.2.1 20230301

description: RaMP-DB, Relational Database of Metabolite Pathways. Feb-Mar 2023 curation and data update, v2.2.1, MySQL sql file for structure and data.
DOI: 10.6084/m9.figshare.22202628.v1
title: RaMP Database MySQL Dump V2.2.1 20230301

description: RaMP-DB, Relational Database of Metabolite Pathways. Feb-Mar 2023 curation and data update, v2.2.1, MySQL sql file for structure and data.
DOI: 10.20348/storedb/1177/1259
title: Annexes associated with the citizen science pilote-project for the management of radon at home (RadoNorm Subtask 6.3.1 - 2021~2022)
title: Annexes 1-11

description: Annexe 1  Leaflet for the recruitment of participants (in French) Annexe 2  Questionnaire about the building self-assessment guide Annexe 3  Protocol to compare the building self-evaluation guide with an expert Annexe 4  Feedback questionnaire about the participation to the pilot-project Annexe 5  Adequation of the pilot-project with the ten principles in citizen science Annexe 6  Application form for ethical committee and data management plan Annexe 7  Data management plan Annexe 8  Information document and consent form Annexe 9 Slideshow prepared for and during the in person-meetings, 15 and 16 June 2022 (in French) Annexe 10  Radon expertise report from the visit performed 20 July 2022 (Cerema document) (in French) Annexe 11  Slideshow prepared for and validated after the final meeting, 22 July 2022 (in French) ******
description: Annexe 1  Leaflet for the recruitment of participants (in French) Annexe 2  Questionnaire about the building self-assessment guide Annexe 3  Protocol to compare the building self-evaluation guide with an expert Annexe 4  Feedback questionnaire about the participation to the pilot-project Annexe 5  Adequation of the pilot-project with the ten principles in citizen science Annexe 6  Application form for ethical committee and data management plan Annexe 7  Data management plan Annexe 8  Information document and consent form Annexe 9 Slideshow prepared for and during the in person-meetings, 15 and 16 June 2022 (in French) Annexe 10  Radon expertise report from the visit performed 20 July 2022 (Cerema document) (in French) Annexe 11  Slideshow prepared for and validated after the final meeting, 22 July 2022 (in French) **********