cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4773298
title: SiEUGreen - Dataset for Engagement Strategies

description: This dataset is the outcome of interviews, surveys, study visits and workshop. The purpose of this collection of data is to give information about the available resources (e.g., human, financial, knowledge), needs and challenges to implement SiEUGreen technologies and engage people in UA were elicited from different stakeholders of each SiEUGreen showcase. The data collection was conducted by SiEUGreen partners at Nordregio, International Research Centre for Regional Development and Planning. Data for SiEUGreen Deliverable 1.5 Engagement Strategies
DOI: 10.5281/zenodo.4771486
title: SiEUGreen - Dataset for Engagement Strategies

description: This dataset is the outcome of interviews, surveys, study visits and workshop. The purpose of this collection of data is to give information about the available resources (e.g., human, financial, knowledge), needs and challenges to implement SiEUGreen technologies and engage people in UA were elicited from different stakeholders of each SiEUGreen showcase. The data collection was conducted by SiEUGreen partners at Nordregio, International Research Centre for Regional Development and Planning. Data for SiEUGreen Deliverable 1.5 Engagement Strategies
DOI: 10.6084/m9.figshare.16709275
title: Dati_con_IAT.sav

description: Data related to levels of alexithymia, peritraumatic distress related to COVID 19 pandemic and Internet /Instagram addiction of N=400 emerging adults
DOI: 10.6084/m9.figshare.16709275.v1
title: Dati_con_IAT.sav

description: Data related to levels of alexithymia, peritraumatic distress related to COVID 19 pandemic and Internet /Instagram addiction of N=400 emerging adults
DOI: 10.25625/mzqgoo/29qn5n
title: wide-to-long.tab

description: long data stage 2 of 3
DOI: 10.25625/mzqgoo/h688gs
title: quality_flaunch.do

description: Coding-file 1/3 how raw data was created: merging raw data set (3 choice sets and survey data) and cleaning out speeders
DOI: 10.25625/mzqgoo/qazfzk
title: analysis.do

description: Coding-file 3/3 how analysed data was created from wide-to-long data: labelling and modelling
DOI: 10.5281/zenodo.5541751
title: Identification and Regionalization of Streamflow Routing Parameters for the HLM Hydrological Model in Iowa

description: The tables contained the metrics and the peak flows estimated using HLM under three different parameterizations.
DOI: 10.25625/mzqgoo/tkevfd
title: raw_data.tab

description: raw data stage 1/3
DOI: 10.5281/zenodo.5541742
title: Acanthamoeba castellanii genome assembly and infection by Legionella pneumophila

description: Data associated with the publication "<em>Regulation of the Acanthamoeba castellanii genome upon infection by Legionella pneumophila</em>". The record contains 4 archives, each associated with a github repository, and a "shared assets" archive, which contains processed files used by some repositories. The code from github repositories is embedded in each tarball, along with input and output data. Analyses are organized as independent snakemake pipelines for each part. For convenient reanalysis, genomes, annotations and merged contact maps used in the publication can be found in the `shared_assets.tar.gz` archive. The infection analysis results are located in the `data/output` folder of Acastellanii_legionella_infection.tar.gz. <strong>Hybrid genome assembly:</strong> Genome assembly pipeline code and output data used for the assembly of 2 <em>A. castellanii</em> strains (Neff and C3) through a hybrid pipeline combining Illumina shotgun, Hi-C and Oxford Nanopore long reads. Github: https://github.com/cmdoret/Acastellanii_hybrid_assembly Archive: Acastellanii_hybrid_assembly.tar.gz <strong>Genome annotation:</strong> Genome annotation pipeline used for functional annotation of <em>A. castellanii</em> strains C3 and Neff, and associated output files. Github: https://github.com/cmdoret/Acastellanii_genome_annotation Archive: Acastellanii_genome_annotation.tar.gz <strong>Genome analyses:</strong> Code and data related to general analyses of genomic properties of <em>A. castellanii</em> strains C3 and Neff. Github: https://github.com/cmdoret/Acastellanii_genome_analysis Archive: Acastellanii_genome_analysis.tar.gz <strong>Infection analyses:</strong> Code and data related to the analysis of structural changes in the <em>A. castellanii</em> C3 genome during infection by <em>L. pneumophila</em>. Github: https://github.com/cmdoret/Acastellanii_legionella_infection Archive: Acastellanii_legionella_infection.tar.gz <br> <strong>Shared assets:</strong> This archive contains processed files (genomes, annotations, Hi-C matrices, differential expression results) which can be useful for reanalysis, and are automatically pulled when executing the pipeline of some repositories. Archive: shared_assets.tar.gz <br>
DOI: 10.5281/zenodo.5541750
title: Identification and Regionalization of Streamflow Routing Parameters for the HLM Hydrological Model in Iowa

description: The tables contained the metrics and the peak flows estimated using HLM under three different parameterizations.
DOI: 10.25625/mzqgoo/pydnjh
title: analysed_data.tab

description: final dataset 3/3
DOI: 10.25625/mzqgoo/ktjhzn
title: wide-to-long.do

description: Coding file 2/3 how raw data was transformed from wide to long before entering analysis stage
DOI: 10.25625/mzqgoo/zpwf7w
title: analysed_data_with_labels.xls

description: final dataset 3/3 2nd row is label of each variable for identification purposes
DOI: 10.25625/mzqgoo/syd2ef
title: survey.pdf

description: survey in GER, for exact phrasing of questions
DOI: 10.25625/mzqgoo
title: The price penalty for red meat substitutes in popular dishes - Choice based conjoint data

description: -Consumer demand for 3 dishes: Spaghetti Bolognese, meatballs with rice and peas, buns with sausage -Individually adapted choice based conjoint -Structure of data +1/3 raw data (wide data) +2/3 long data (formatted to long) +3/3 analysed_data (labelled and modelled data) +3/3 labelled data (=analysed data with label of each Variable in 2nd row) -We also provide the original survey: survey.pdf -and the coding in Stata 17: +1/3 how raw data was created +2/3 how data was transformed from wide to long +3/3 how data was labelled and analysed
DOI: 10.6073/pasta/5ae53230db8fc552902dca53cb7cca4f
title: Marcell Experimental Forest 10-minute soil temperature and moisture, 2008 - ongoing

description: This data set is a record of soil temperature and volumetric water content (soil moisture) on two upland mineral soil hillslopes at the Marcell Experimental Forest (MEF) in Itasca County, Minnesota. These data are collected as part of the long-term monitoring program at the S2 catchment, which has 6.5 ha of upland mineral soil that surrounds a central 3.2 ha peatland. Soil temperature and moisture are recorded every 10 minutes since 2008 at S2S, a north-facing hillslope that is south of the S2 bog. Measurements at S2N, a south-facing hillslope that is north of the S2 bog, began during 2009. Measurements were recorded at two depths at each of three different relative positions (downslope, mid-slope, and upslope) on the two hillslopes. The MEF is operated and maintained by the USDA Forest Service, Northern Research Station.
DOI: 10.5066/p9clstay
title: Data Compilation for Hydrologic and Inundation Analysis for Clark County, South Dakota, U.S.A.

description: This data release is a collection of hydrologic characteristics of groundwater and surface water of selected lakes (Dry Lake #1 and #2, and Antelope Lake) within Clark County, South Dakota. The compiled data was broken into two parts, Reports and Maps, and GIS Data. The Reports and Maps dataset contains PDF reports, maps, and logs for aquifers, lake bathymetry, lithology, and observation wells near the selected lakes and for the entire county. The GIS datasets include publicly available data found on federal and state websites. The GIS Data is presented as comma separated value files, zipped folders with shapefiles, rasters, and a duplicate file geodatabase containing geodatabase tables, shapefile tables, and raster datasets.
DOI: 10.5517/ccdc.csd.cc246t39
title: CCDC 1972750: Experimental Crystal Structure Determination

description: Related Article: zhuyasheng zhuyasheng|2019|CSD Communication|||
description: Related Article: Yasheng Zhu, Hongliang Wang, Gang Wang, Zehua Wang, Zhaopeng Liu, Lei Liu|2021|Org.Lett.|23|7248|doi:10.1021/acs.orglett.1c02640
DOI: 10.5517/ccdc.csd.cc247k65
title: CCDC 1973466: Experimental Crystal Structure Determination

description: Related Article: Rakesh Kumar, Ranjeet Kaur, Shweta Rana, Ramesh Kataria, Subash Chandra Sahoo|2020|J.Mol.Struct.|1227|129527|doi:10.1016/j.molstruc.2020.129527
DOI: 10.5517/ccdc.csd.cc247k76
title: CCDC 1973467: Experimental Crystal Structure Determination

description: Related Article: Rakesh Kumar, Ranjeet Kaur, Shweta Rana, Ramesh Kataria, Subash Chandra Sahoo|2020|J.Mol.Struct.|1227|129527|doi:10.1016/j.molstruc.2020.129527
DOI: 10.5517/ccdc.csd.cc26j2g9
title: CCDC 2041240: Experimental Crystal Structure Determination

description: Related Article: Nikolas Kiraly, Vladimir Zelenak, Nina Lenartova, Adriana Zelenakova, Erik Cizmár, Miroslav Almasi, Vera Meynen, Andrej Hovan, Róbert Gyepes|2021|ACS Omega|6|24637|doi:10.1021/acsomega.1c03327
DOI: 10.5517/ccdc.csd.cc274n8b
title: CCDC 2060051: Experimental Crystal Structure Determination

description: Related Article: Zhiyong Jiang, Changli Zhang, Xiaoqing Wang, Ming Yan, Zongxin Ling, Yuncong Chen, Zhipeng Liu|2021|Angew.Chem.,Int.Ed.|60|22376|doi:10.1002/anie.202107836
description: Related Article: Zhipeng Liu|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27f1rh
title: CCDC 2068126: Experimental Crystal Structure Determination

description: Related Article: Qingqing Wen, Bin Feng, Li Xiang, Xuebing Leng, Yaofeng Chen|2021|Inorg.Chem.|60|13913|doi:10.1021/acs.inorgchem.1c00686
DOI: 10.5517/ccdc.csd.cc27f1sj
title: CCDC 2068127: Experimental Crystal Structure Determination

description: Related Article: Qingqing Wen, Bin Feng, Li Xiang, Xuebing Leng, Yaofeng Chen|2021|Inorg.Chem.|60|13913|doi:10.1021/acs.inorgchem.1c00686
DOI: 10.5517/ccdc.csd.cc27f1tk
title: CCDC 2068128: Experimental Crystal Structure Determination

description: Related Article: Qingqing Wen, Bin Feng, Li Xiang, Xuebing Leng, Yaofeng Chen|2021|Inorg.Chem.|60|13913|doi:10.1021/acs.inorgchem.1c00686
DOI: 10.5281/zenodo.5541768
title: IPCC-AR6-SPM material + info on reference regions

description: ### Contents Included material is from sources indicated below. - `spm/` from **[1]**<br> - `reference-regions/` from **[2]** except for `hexagon_grid_locations.csv`<br> - `reference-regions/hexagon_grid_locations.csv` from **[3]** ### [1] source of the data in `spm/` ```<br> IPCC, 2021: Summary for Policymakers. In: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S. L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M. I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T. K. Maycock, T. Waterfield, O. Yelekçi, R. Yu and B. Zhou (eds.)]. Cambridge University Press. In Press.<br> ``` ```<br> Gillett, N.P.; Malinina, E.; Kaufman, D.; Neukom, R. (2021): Summary for Policymakers of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure SPM.1 (v20210809). NERC EDS Centre for Environmental Data Analysis, 09 August 2021. doi:10.5285/76cad0b4f6f141ada1c44a4ce9e7d4bd. http://dx.doi.org/10.5285/76cad0b4f6f141ada1c44a4ce9e7d4bd<br> ``` ### [2] source of the data in csv files ```<br> Iturbide, Maialen, Fernández, Jesús, Gutiérrez, José Manuel, Bedia, Joaquín, Cimadevilla, Ezequiel, Díez-Sierra, Javier, Manzanas, Rodrigo, Casanueva, Ana, Baño-Medina, Jorge, Milovac, Josipa, Herrera, Sixto, Cofiño, Antonio S., San Martín, Daniel, García-Díez, Markel, Hauser, Mathias, Huard, David, & Yelekci, Özge. (2021). Repository supporting the implementation of FAIR principles in the IPCC-WGI Atlas (v2.0-final). Zenodo. https://doi.org/10.5281/zenodo.5171760<br> ``` ### [3] source of the data in csv files ```<br> Gael Forget, Lauren Milechin, & Philippe Roy. (2021). JuliaClimate/GlobalOceanNotebooks: new webpage, docker+sysimage+Pluto, add IPCC+other notebooks, cleanup (v0.3.5). Zenodo. https://doi.org/10.5281/zenodo.5537709<br> ```
DOI: 10.5281/zenodo.5541767
title: IPCC-AR6-SPM material + info on reference regions

description: ### Contents Included material is from sources indicated below. - `spm/` from **[1]**<br> - `reference-regions/` from **[2]** except for `hexagon_grid_locations.csv`<br> - `reference-regions/hexagon_grid_locations.csv` from **[3]** ### [1] source of the data in `spm/` ```<br> IPCC, 2021: Summary for Policymakers. In: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S. L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M. I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T. K. Maycock, T. Waterfield, O. Yelekçi, R. Yu and B. Zhou (eds.)]. Cambridge University Press. In Press.<br> ``` ```<br> Gillett, N.P.; Malinina, E.; Kaufman, D.; Neukom, R. (2021): Summary for Policymakers of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure SPM.1 (v20210809). NERC EDS Centre for Environmental Data Analysis, 09 August 2021. doi:10.5285/76cad0b4f6f141ada1c44a4ce9e7d4bd. http://dx.doi.org/10.5285/76cad0b4f6f141ada1c44a4ce9e7d4bd<br> ``` ### [2] source of the data in csv files ```<br> Iturbide, Maialen, Fernández, Jesús, Gutiérrez, José Manuel, Bedia, Joaquín, Cimadevilla, Ezequiel, Díez-Sierra, Javier, Manzanas, Rodrigo, Casanueva, Ana, Baño-Medina, Jorge, Milovac, Josipa, Herrera, Sixto, Cofiño, Antonio S., San Martín, Daniel, García-Díez, Markel, Hauser, Mathias, Huard, David, & Yelekci, Özge. (2021). Repository supporting the implementation of FAIR principles in the IPCC-WGI Atlas (v2.0-final). Zenodo. https://doi.org/10.5281/zenodo.5171760<br> ``` ### [3] source of the data in csv files ```<br> Gael Forget, Lauren Milechin, & Philippe Roy. (2021). JuliaClimate/GlobalOceanNotebooks: new webpage, docker+sysimage+Pluto, add IPCC+other notebooks, cleanup (v0.3.5). Zenodo. https://doi.org/10.5281/zenodo.5537709<br> ```
DOI: 10.22024/unikent/01.01.400
title: EVRPTW-RS-SMBS

description: This data set contains all instances and the case study data used in the paper "Coordinated routing of electric commercial vehicles with intra-route recharging and en-route battery swapping", published in European Journal of Operational Research.
DOI: 10.5281/zenodo.5541760
title: Attack time analysis in dynamic attack trees via integer linear programming

description: Code and data corresponding to the paper "Attack time analysis in dynamic attack trees via integer linear programming"
DOI: 10.5281/zenodo.5541759
title: Attack time analysis in dynamic attack trees via integer linear programming

description: Code and data corresponding to the paper "Attack time analysis in dynamic attack trees via integer linear programming"
DOI: 10.15151/esrf-es-545067316
title: UK Midlands BAG

description: The UK Midlands BAG consists of groups located at the Universities of Birmingham, Leicester, Warwick, Nottingham, Keele, and Wolverhampton. We represent a diverse spectrum of research interests, from microbiology, cancer biology, blood disorders, immunology to fundamental biological processes such as membrane transport, DNA repair and mechanisms of enzyme catalysis. Our groups use X-ray crystallography in conjunction with other structural biology, biophysical and biochemical techniques to elucidate molecular mechanisms of protein-protein and protein-ligand interactions. Our cooperation in this block allocation group is mirrored by the consortium of institutions that are stakeholders in the Midlands Regional CryoEM Facility at the University of Leicester.
DOI: 10.5281/zenodo.5541771
title: Terc Gene Cluster Variants Predict Liver Telomere Length in Mice

description: Files are organized by experiment (see publication for more info) Excel files contain raw data. SPSS (.sav) files contain organized raw data in format used for analysis. Word document contains SPSS analysis parameters and output syntax.
DOI: 10.5281/zenodo.5541770
title: Terc Gene Cluster Variants Predict Liver Telomere Length in Mice

description: Files are organized by experiment (see publication for more info) Excel files contain raw data. SPSS (.sav) files contain organized raw data in format used for analysis. Word document contains SPSS analysis parameters and output syntax.
DOI: 10.25919/fj30-gn76
title: Vegetation cover condition (Cooper region)

description: Vegetation cover condition is an assessment of how much impact disturbances (including management activities) have had on ground cover. Condition is assessed using Compere, a relative performance bench marking framework that compares one location's value to the values of all biophysically equivalent locations in a given region. Resulting condition estimates range from 0 (lowest observed cover among equivalents) to 1 (highest observed). Underlying total vegetation cover data are the total fraction of ground covered by green and senesced plant material. Cover condition has been assessed yearly from 2001 to 2018 at a grid resolution of 500 m. This work was conducted by the CSIRO as part of the Australian Government's Geological and Bioregional Assessments program (https://www.bioregionalassessments.gov.au/gba). This collection includes the output vegetation cover condition grids, the novel input datasets not elsewhere available and the computer code used to perform the analyses and to generate the figures contained in the associated journal article currently (June 2021) submitted to Ecosphere (Donohue, R.J., Mokany, K., McVicar, T.R. and O'Grady, A.P. Identifying management-driven dynamics in vegetation cover: applying the Compere framework to Cooper Creek, Australia)
DOI: 10.18112/openneuro.ds003821.v1.0.0
title: Lausanne_TOF-MRA_Aneurysm_Cohort
DOI: 10.17632/2nxpvtz935.2
title: How does weather affect bikeshare use? A comparative analysis of forty cities across climate zones

description: Input data for paper, R code to produce models and output, PDF files for figures in paper, summary statistics, and climate classifications
DOI: 10.25625/rpcwhp/reh85u
title: 15183_A03_Kabau Meteo Data 2021_2.0.0.xml
DOI: 10.25625/rpcwhp/ptwfgp
title: 15183_A03_Kabau Meteo Data 2021_2.0.0.html
DOI: 10.25625/rpcwhp/w6fsrg
title: 15183.xlsx
DOI: 10.25625/rpcwhp/mgejos
title: 15183_160821_014632_A03 Kabau Meteo Station.tab
DOI: 10.25625/rpcwhp/swzlsm
title: A03_Ptpnvi_office_Meteo_Station.tab

description: :unav
DOI: 10.25625/rpcwhp
title: A03_PTPNVI_office Meteo Data 2021

description: quality flag maximum soil temperature 3, 30 cm
DOI: 10.24400/527896/a01-2021.005
title: Observing System Experiment Data Challenge - SSH mapping OSE
title: Version 2021

description: Following the Observation System Experiment (OSE) framework, the SSH observations include SARAL/Altika, Cryosat-2, Haiyang-2A, Jason-2, Jason-3 and Sentinel-3A altimeter data. These along-track data are distributed by the Copernicus Marine Service (CMEMS), here only an extraction of the data over the Gulfstream region is provided. This nadir altimeters constellation was operating during the 2017-01-01 to 2017-12-31 period. Several gridded products constructed with the SARAL/Altika, Jason 1, Haiyang-2A, Jason-2, Jason-3 and Sentinel-3A altimeter data are also provided. The Cryosat-2 dataset is used for independent validation.
DOI: 10.6084/m9.figshare.16709452
title: The RANI Project Process Monitoring and Evaluation Dataset and Codebook

description: The Reduction in Anemia through Normative Innovations (RANI) Project is a multi-year effort to reduce anemia among women of reproductive age in Odisha, India by promoting the uptake of iron-folic acid supplements. The RANI Project designed and carried out a norms-based community intervention across 130 villages in the Angul District of Odisha. The current dataset comprises the process monitoring data collected from intervention sites. More information can be found at RANI.GWU.edu.
DOI: 10.5281/zenodo.4289007
title: Data for WRR submitted manuscript 2020WR029307

description: The provided data corresponds to the submitted manuscript to the Water Resources Research as 2020WR029307. Model calibration and forecast as well as observation data value assessment and relevant executables are included in the archive file. Data includes Parallel Pest, PPEST, input and output files for the joint-inversion of discharge, water temperature, and solute concentration for the Freiheit Karst Spring in Minnesota, United States. A sub-folder named "1" includes CFPv2 model input files. The corresponding outputs are simply excluded to reduce the size of uploaded files. However, one can easily reproduce them using the provided batch file within the folder, given a set of input parameters from PEST (or even manually). Any question regarding the model (i.e., CFPv2) or the joint inversion can be sent to alireza.kavousi@tu-dresden.de (corresponding author).
DOI: 10.5281/zenodo.4288975
title: Data for WRR submitted manuscript 2020WR029307

description: The provided data corresponds to the submitted manuscript to the Water Resources Research as 2020WR029307. Model calibration and forecast as well as observation data value assessment and relevant executables are included in the archive file. Data includes Parallel Pest, PPEST, input and output files for the joint-inversion of discharge, water temperature, and solute concentration for the Freiheit Karst Spring in Minnesota, United States. A sub-folder named "1" includes CFPv2 model input files. The corresponding outputs are simply excluded to reduce the size of uploaded files. However, one can easily reproduce them using the provided batch file within the folder, given a set of input parameters from PEST (or even manually). Any question regarding the model (i.e., CFPv2) or the joint inversion can be sent to alireza.kavousi@tu-dresden.de (corresponding author).
DOI: 10.5281/zenodo.5205827
title: Setting files from: Spatially explicit paleogenomic simulations support cohabitation with limited admixture between Bronze Age Central European populations.

description: <strong>Simulated Data and Custom Scripts</strong> This dataset release permits to simulate the expansion of populations from the Pontic Steppes to Central Europe with the version of SPLATCHE3 which is included. There are 2 main zipped folders: i) the one called "SPLATCHE3executableAndSettings" contains a "ReadMe.txt" file that contains all required information to make the simulations: the resulting ".prop" file contains proportions of genomic ancestry of the P2 layer, ancestry from P1 layer is equal to 1-(proportion from P2) ; ii) the other one called "HowToMakeFigure2" contains the R script and the tables necessary to reproduce Figure 2. See Rio J, Quilodrán CS & Currat M., Communications Biology (2021), for background. <strong>Acknowledgments</strong> This project was financially supported by the Swiss National Research Foundation grants n° 31003A_182577 to MC and n° P400PB_183930 to CQ, as well as the IGE3 Student Salary Award to JR.