cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6977163
title: Data from "Projections of leaf turgor loss point shifts under future climate change scenarios" (Tordoni et al. 2022 Global Change Biology)

description: The dataset includes four sheets representing the average turgor loss point (tlp) values at grid cell level (tlp_data) and the climatic variables and related climate change scenarios derived from the three models used in this study (HadGEM2-ES-RACMO22E, EC-EARTH_RACMO22E, EC-EARTH_CCLM4-8-17, respectively). The sheet "tlp_data" reports the cell ID (OGU) and the average tlp values for each taxonomic group considered in this study (gymnosperms, angiosperms, herbaceous and woody angiosperms). Each of the other three sheets reports the cell ID (OGU), coordinates of the cell centroid (Long, Lat) and a set of six climatic variables: 95<sup>th</sup> percentiles of average temperature (BIO1.95, °C), temperature seasonality (BIO4, °C), annual consecutive frost days where temperature was ≤ 0 °C (CFD.ann, n° days), annual consecutive dry days where precipitation was &lt; 1 mm (CDD.ann, n° days), 5<sup>th</sup> percentiles of cumulate annual precipitation (BIO12.5, mm), and precipitation seasonality (BIO15, %). For each model, "hist" refers to historical data encompassing the period 1970-2005, whereas "RCP2.6" and "RCP8.5" reports the average value of future projections for the period 2080-2100 in two representative concentration pathway (RCP) scenarios (RCP2.6 and RCP8.5).
DOI: 10.5281/zenodo.6967162
title: Repeated and multivariate measures of perceived distance

description: A dataset of repeated measures of distance perception at physical distances of 7, 8, 9, 10, and 11 meters. The data are also multivariate, with five dependent measures of distance perception. This is a 5 (physical distance) x 5 (dependent measure) within-participants design with a sample size of 46. Note data is missing for 15 trials due participant and experimenter errors. The csv file has 230 rows and 7 columns. <em>Subject</em>: Unique identifier for each participant. <br> <em>Physical Distance</em>: Physical distance from the participant to the target cone, in meters.<br> <em>Blindwalk Away</em>: Participants put on the blindfold after viewing the target. Next, participants took one step to the left and turned 180 degrees to face the opposite direction. Participants were instructed to walk forward until they had walked the original distance to the target. <br> <em>Blindwalk Toward</em>: Participants put on the blindfold after viewing the target. Next, participants walked forward until they thought they had reached the target cone.<br> <em>Triangulated BW:</em> Participants put on the blindfold after viewing the target. Next, participants turned right 90 degrees and walked<br> forward 5 meters. The experimenter told participants when to stop walking. Finally, participants turned to face toward the target and walked forward two steps.<br> <em>Verbal:</em> Participants stated the distance between the target cone and themselves, in feet and inches. <br> <em>Visual Matching:</em> An experimenter stood next to the target cone and walked away from the cone in a straight line that was <br> perpendicular to the extent between the target and the participant. Participants instructed the experimenter to stop walking when they thought that the distance between the target and the experimenter was equal to the target distance.
description: Dataset from unpublished manuscript. This dataset will be used as an example in the rmcorr R package: http://lmarusich.github.io/rmcorr
DOI: 10.5281/zenodo.6967161
title: Repeated and multivariate measures of perceived distance

description: A dataset of repeated measures of distance perception at physical distances of 7, 8, 9, 10, and 11 meters. The data are also multivariate, with five dependent measures of distance perception. This is a 5 (physical distance) x 5 (dependent measure) within-participants design with a sample size of 46. Note data is missing for 15 trials due participant and experimenter errors. The csv file has 230 rows and 7 columns. <em>Subject</em>: Unique identifier for each participant. <br> <em>Physical Distance</em>: Physical distance from the participant to the target cone, in meters.<br> <em>Blindwalk Away</em>: Participants put on the blindfold after viewing the target. Next, participants took one step to the left and turned 180 degrees to face the opposite direction. Participants were instructed to walk forward until they had walked the original distance to the target. <br> <em>Blindwalk Toward</em>: Participants put on the blindfold after viewing the target. Next, participants walked forward until they thought they had reached the target cone.<br> <em>Triangulated BW:</em> Participants put on the blindfold after viewing the target. Next, participants turned right 90 degrees and walked<br> forward 5 meters. The experimenter told participants when to stop walking. Finally, participants turned to face toward the target and walked forward two steps.<br> <em>Verbal:</em> Participants stated the distance between the target cone and themselves, in feet and inches. <br> <em>Visual Matching:</em> An experimenter stood next to the target cone and walked away from the cone in a straight line that was <br> perpendicular to the extent between the target and the participant. Participants instructed the experimenter to stop walking when they thought that the distance between the target and the experimenter was equal to the target distance.
description: Dataset from unpublished manuscript. This dataset will be used as an example in the rmcorr R package: http://lmarusich.github.io/rmcorr
DOI: 10.5281/zenodo.6977238
title: In Search of the Edge: A Bayesian Exploration of the Detectability of Red Edges in Exoplanet Reflection Spectra

description: This repository contains surface albedos for a paper submitted to AAS journals under the same title. Here we include a a realistic Earth-like surface albedo and the raw albedo files used for it's calculation.
DOI: 10.5281/zenodo.6977237
title: In Search of the Edge: A Bayesian Exploration of the Detectability of Red Edges in Exoplanet Reflection Spectra

description: This repository contains surface albedos for a paper submitted to AAS journals under the same title. Here we include a a realistic Earth-like surface albedo and the raw albedo files used for it's calculation.
DOI: 10.34740/kaggle/dsv/4049249
title: Mahanagar Yatayat Dataset
DOI: 10.5517/ccdc.csd.cc27v4fp
title: CCDC 2080702: Experimental Crystal Structure Determination

description: Related Article: Trevor A. Shear, Jacob T. Mayhugh, Luca J. Zocchi, Isabella S. Demachkie, Henry J. Trubenstein, Lev N. Zakharov, Darren W. Johnson|2022|Eur.J.Org.Chem.|2022|e202200056|doi:10.1002/ejoc.202200056
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.cc27v4gq
title: CCDC 2080703: Experimental Crystal Structure Determination

description: Related Article: Trevor A. Shear, Jacob T. Mayhugh, Luca J. Zocchi, Isabella S. Demachkie, Henry J. Trubenstein, Lev N. Zakharov, Darren W. Johnson|2022|Eur.J.Org.Chem.|2022|e202200056|doi:10.1002/ejoc.202200056
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.cc27v4hr
title: CCDC 2080704: Experimental Crystal Structure Determination

description: Related Article: Trevor A. Shear, Jacob T. Mayhugh, Luca J. Zocchi, Isabella S. Demachkie, Henry J. Trubenstein, Lev N. Zakharov, Darren W. Johnson|2022|Eur.J.Org.Chem.|2022|e202200056|doi:10.1002/ejoc.202200056
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.cc27v4js
title: CCDC 2080705: Experimental Crystal Structure Determination

description: Related Article: Trevor A. Shear, Jacob T. Mayhugh, Luca J. Zocchi, Isabella S. Demachkie, Henry J. Trubenstein, Lev N. Zakharov, Darren W. Johnson|2022|Eur.J.Org.Chem.|2022|e202200056|doi:10.1002/ejoc.202200056
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.cc27v4kt
title: CCDC 2080706: Experimental Crystal Structure Determination

description: Related Article: Trevor A. Shear, Jacob T. Mayhugh, Luca J. Zocchi, Isabella S. Demachkie, Henry J. Trubenstein, Lev N. Zakharov, Darren W. Johnson|2022|Eur.J.Org.Chem.|2022|e202200056|doi:10.1002/ejoc.202200056
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.cc27v4lv
title: CCDC 2080707: Experimental Crystal Structure Determination

description: Related Article: Trevor A. Shear, Jacob T. Mayhugh, Luca J. Zocchi, Isabella S. Demachkie, Henry J. Trubenstein, Lev N. Zakharov, Darren W. Johnson|2022|Eur.J.Org.Chem.|2022|e202200056|doi:10.1002/ejoc.202200056
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.cc27v4mw
title: CCDC 2080708: Experimental Crystal Structure Determination

description: Related Article: Trevor A. Shear, Jacob T. Mayhugh, Luca J. Zocchi, Isabella S. Demachkie, Henry J. Trubenstein, Lev N. Zakharov, Darren W. Johnson|2022|Eur.J.Org.Chem.|2022|e202200056|doi:10.1002/ejoc.202200056
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.cc27v4nx
title: CCDC 2080709: Experimental Crystal Structure Determination

description: Related Article: Trevor A. Shear, Jacob T. Mayhugh, Luca J. Zocchi, Isabella S. Demachkie, Henry J. Trubenstein, Lev N. Zakharov, Darren W. Johnson|2022|Eur.J.Org.Chem.|2022|e202200056|doi:10.1002/ejoc.202200056
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.cc27v4py
title: CCDC 2080710: Experimental Crystal Structure Determination

description: Related Article: Trevor A. Shear, Jacob T. Mayhugh, Luca J. Zocchi, Isabella S. Demachkie, Henry J. Trubenstein, Lev N. Zakharov, Darren W. Johnson|2022|Eur.J.Org.Chem.|2022|e202200056|doi:10.1002/ejoc.202200056
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.cc295lcg
title: CCDC 2120535: Experimental Crystal Structure Determination

description: Related Article: Chander Shekhar, Gedu Satyanarayana|2022|Eur.J.Org.Chem.|2022|e202101444|doi:10.1002/ejoc.202101444
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.cc1q54pq
title: CCDC 1583873: Experimental Crystal Structure Determination

description: Related Article: Yoarhy A. Amador-Sánchez, Pedro López-Mendoza, Marco V. Mijangos, Luis D. Miranda|2022|Eur.J.Org.Chem.|2022|e202200080|doi:10.1002/ejoc.202200080
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.cc1q54np
title: CCDC 1583872: Experimental Crystal Structure Determination

description: Related Article: Yoarhy A. Amador-Sánchez, Pedro López-Mendoza, Marco V. Mijangos, Luis D. Miranda|2022|Eur.J.Org.Chem.|2022|e202200080|doi:10.1002/ejoc.202200080
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: 10.34740/kaggle/dsv/4048608
title: CSE-CIC-IDS2018
DOI: 10.5281/zenodo.6777943
title: Development of Rotaxanes as E-Field Sensitive Superstructures in Plasmonic Nano-Antennas

description: NMR, HR-MS, UV-VIS, Fluorescence, and Photoluminescence data of the graphs and supplementary data provided with the manuscript.
DOI: 10.5281/zenodo.6777942
title: Development of Rotaxanes as E-Field Sensitive Superstructures in Plasmonic Nano-Antennas

description: NMR, HR-MS, UV-VIS, Fluorescence, and Photoluminescence data of the graphs and supplementary data provided with the manuscript.
DOI: 10.6084/m9.figshare.20457264
title: Datasets, output matrices and scripts for "Rooting bacterial trees with time non-reversible amino acid substitution model"

description: <strong>bac.train.zip</strong>: Training data. <br> <strong>bac.test.zip</strong>: Test data. <br> <strong>NQ.bac</strong>: Time non-reversible matrice for Bacteria.<br> <strong>Q.bac</strong>: Time reversible matrice for Bacteria. <br> <strong>pca script.zip</strong>: an R scrip and matrices to produce the PCA figure
DOI: 10.6084/m9.figshare.20457264.v1
title: Datasets, output matrices and scripts for "Rooting bacterial trees with time non-reversible amino acid substitution model"

description: <strong>bac.train.zip</strong>: Training data. <br> <strong>bac.test.zip</strong>: Test data. <br> <strong>NQ.bac</strong>: Time non-reversible matrice for Bacteria.<br> <strong>Q.bac</strong>: Time reversible matrice for Bacteria. <br> <strong>pca script.zip</strong>: an R scrip and matrices to produce the PCA figure
DOI: 10.6084/m9.figshare.20085293.v7
title: GL reference annotations

description: Temporary holding location for GeneLab reference databases <br> Built with this script: <br> https://github.com/asaravia-butler/GeneLab_Data_Processing/blob/d35ce44bb4993d4a07dd95c27eb44165e8262d27/GeneLab_Reference_Annotations/Workflow_Documentation/GL_RefAnnotTable/workflow_code/GL_RefAnnotTable_1.0/GL-DPPD-7110_build-genome-annots-tab.R
DOI: 10.5281/zenodo.6977308
title: QOL Scores, prostaglandin-D2, and eosinophil levels at baseline and follow up period

description: QOL Scores, prostaglandin-D2, and eosinophil levels at baseline and follow up period
DOI: 10.6084/m9.figshare.20085293
title: GL reference annotations

description: Temporary holding location for GeneLab reference databases <br> Built with this script: <br> https://github.com/asaravia-butler/GeneLab_Data_Processing/blob/d35ce44bb4993d4a07dd95c27eb44165e8262d27/GeneLab_Reference_Annotations/Workflow_Documentation/GL_RefAnnotTable/workflow_code/GL_RefAnnotTable_1.0/GL-DPPD-7110_build-genome-annots-tab.R
DOI: 10.5281/zenodo.6977307
title: QOL Scores, prostaglandin-D2, and eosinophil levels at baseline and follow up period

description: QOL Scores, prostaglandin-D2, and eosinophil levels at baseline and follow up period
DOI: 10.6084/m9.figshare.20085293.v9
title: GL reference annotations

description: Temporary holding location for GeneLab reference databases <br> Built with this script: <br> https://github.com/asaravia-butler/GeneLab_Data_Processing/blob/d35ce44bb4993d4a07dd95c27eb44165e8262d27/GeneLab_Reference_Annotations/Workflow_Documentation/GL_RefAnnotTable/workflow_code/GL_RefAnnotTable_1.0/GL-DPPD-7110_build-genome-annots-tab.R
DOI: 10.6084/m9.figshare.20085293.v8
title: GL reference annotations

description: Temporary holding location for GeneLab reference databases <br> Built with this script: <br> https://github.com/asaravia-butler/GeneLab_Data_Processing/blob/d35ce44bb4993d4a07dd95c27eb44165e8262d27/GeneLab_Reference_Annotations/Workflow_Documentation/GL_RefAnnotTable/workflow_code/GL_RefAnnotTable_1.0/GL-DPPD-7110_build-genome-annots-tab.R
DOI: 10.6073/pasta/446bdd6d8731eb731f9c746e4087e1a3
title: WSC - Temperature and relative humidity data from 150 locations in and around Madison, Wisconsin from 2012 - 2021

description: To study the urban heat island and other local climatic processes in Madison, Wisconsin, in March 2012, 135 HOBO U23 Pro v2 temperature/relative humidity sensors in RS1 solar shields (Onset Computing) were attached to streetlight and utility poles in and around Madison, Wisconsin. Additional locations were added in 2012 and 2013 for a total of 150 locations. The sensors were installed at a height of 3.5 meters, and they automatically record instantaneous temperature and relative humidity every 15 minutes. This dataset includes all temperature/humidity measurements and a separate file with the coordinates of each measurement location.
DOI: 10.17632/mzsctb3fzn.2
title: Ego Relevance and Deception: Senders (Burro & Castagnetti)

description: Code and data necessary to replicate "Will I tell you that you are smart (dumb)? Deceiving Others about their IQ or about a Random Draw"
DOI: 10.17632/2v5fz56bjk.1
title: Evaluating Digital Citizenship Scale [2018]

description: This dataset was used in our study that investigated the psychometric properties of the Digital Citizenship Scale (DCS), originally developed by Choi, Glassman and Cristol. 1915 responses were gathered in late 2018 and 1820 responses with valid data from three countries were analysed (Canada, n=817; Australia, n=589; and Slovenia, n=414). The dataset also included Big-Factor-Five personality data as well.
DOI: 10.17632/sccn7k4k3y.1
title: Transition to Hydrogen energy_UAE

description: Sector efficiency analysis and Green hydrogen production efficiency
DOI: 10.17632/d6xbs7tf4s.1
title: COVID-19 Retractions

description: This data was compiled based on a list from the Retraction Watch COVID-19 blog, which was compiled in June 2022. The exclusion criteria for data is more widely explained in a forthcoming publication, however the raw data has also been included on a separate tab.
DOI: 10.17632/vsbxykpc3n.1
title: The Impact of the First-Year COVID-19 Vaccination on U.S. Stock Markets

description: This data compares the stock market volatilities during four pandemics.
DOI: 10.17632/4g5z2sn2ng.1
title: Osteological patterns of the seasonal pastoral sites of the South Urals: contribution to the study of bone surface modifications. Supplementary data

description: The datasets contain the results of studying 60 modern paddocks in the steppe zone of the Southern Urals.
Dataset#1 contains primary data and basic parameters of osteological complexes;
Dataset#2 contains images of the steppe zone of the Southern Urals, images of pens and their arrangement, as well as images of almost all collected bones that were exposed to cattle and small cattle, as well as shepherd dogs. At the end of the dataset are tabular data.
DOI: 10.17632/9xdsdd8c8n.1
title: Social Entrepreneurship Measurement Framework for Developing Countries

description: This study aims to propose and validate with experts a framework with elements for measuring social entrepreneurship for developing countries. The proposed model was designed based on a literature review of entrepreneurship models indexed in Web of Science and Scopus databases. The dimensions associated with social entrepreneurship and their potential analysis categories were identified, composing a preliminary framework of indicators validated by a panel of experts using the Delphi technique. The analysis tool was a four dimensions survey, and their sub-dimensions, resulting in 59 variables. It was available in Portuguese and English, which allowed international participation, and sent via e-mail to the respondents. A Likert-type scale was adopted, ranging from 1 to 7, where 1 is the least important and 7 the most important for a indicator. At the end of each group of questions, an open-ended question was included for suggestions and comments.
The Delphi method was implemented in two rounds, and it was established as insertion criteria that at least 80% responses were equal or higher than 5. After the first data analysis round, the indicators were submitted to a second round. Initially, the indicators with consensus equal to or greater than 80% were evaluated, then those that did not reach consensus in the first round. In both cases, the specialist was asked to decide whether the indicator should be included or excluded. The analysis of the responses from the second round was carried out using the same level of consensus in first round (80%), for both inclusion and exclusion of the item in the model.
After two rounds of Delphis questionnaires, it was possible to reach the most important indicators for the intended evaluation. Therefore, 46 out of 59 (77.97%) initially proposed indicators were taken into consideration to explain social entrepreneurship in developing countries. The model includes elements of entrepreneurship measurement related to the individual and organizational level, composing four dimensions, namely: Social Entrepreneurial Intention, Social Entrepreneurial Orientation, Processes, and Outcomes. It recognizes that social entrepreneurship in developing countries depends on the social context, which is reflected in the willingness to solve society's problems, generating not only economic value, but also social and environmental value as a result.
DOI: 10.17632/wsbzpsx84p.2
title: GNSS velocities  and earthquake catalogue in western China

description: TableS2: GNSS velocities used for calculating the strain rate field in western China
TableS3: Historical earthquakes that occurred  before the GNSS observations  in western China