cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14448837
title: dataprosocialbehaviours.sav

description: <br> <b>Data Collection</b> All the participants were informed by the researchers about the aim of the study and the ones who returned signed written consent forms participated in the study. The questionnaires were administered to participants in group settings in their training facilities before training sessions. Before the data collection the participants were informed that participation in the study was voluntary and the results would be kept confidential and would only be used for research purposes. Researchers also provided information about the questionnaires and how to respond to items in each questionnaire. Self-report questionnaire responses were anonymous. The participants spent about 10-15 minutes to fill in the questionnaires. The research protocol was carried out in accordance with the principles of Helsinki Declaration. <b>Data analysis</b> Preliminary analyses explanined by Tabachnick and Fidell (2007) were carried out. These analysis involved screening for out of range values, missing value analysis, and checking normality and reliability. Later, two-step procedure for structural equation modelling which was explained by Anderson and Gerbing (1988) was followed. Firstly, measurement model was tested by confirmatory factor analysis before testing the structural model. In the analysis maximum likelihood estimation was employed (ML) in AMOS 20.0. The measurement model consisted of latent variables including autonomy, competence, relatedness, antisocial behaviour towards opponent, antisocial behaviour towards teammate, prosocial behaviour towards opponent and prosocial behaviour towards teammate. <i>χ2</i>/<i>df</i> ratio &lt; 3.00, CFI &gt; .90, and RMSEA &lt; .08 were used to evaluate the model fit. Later, structural equation modelling was used to analyse the effect of satisfaction of the basic psychological needs on prosocial and antisocial behaviors.
DOI: 10.6084/m9.figshare.14448837.v1
title: dataprosocialbehaviours.sav

description: <br> <b>Data Collection</b> All the participants were informed by the researchers about the aim of the study and the ones who returned signed written consent forms participated in the study. The questionnaires were administered to participants in group settings in their training facilities before training sessions. Before the data collection the participants were informed that participation in the study was voluntary and the results would be kept confidential and would only be used for research purposes. Researchers also provided information about the questionnaires and how to respond to items in each questionnaire. Self-report questionnaire responses were anonymous. The participants spent about 10-15 minutes to fill in the questionnaires. The research protocol was carried out in accordance with the principles of Helsinki Declaration. <b>Data analysis</b> Preliminary analyses explanined by Tabachnick and Fidell (2007) were carried out. These analysis involved screening for out of range values, missing value analysis, and checking normality and reliability. Later, two-step procedure for structural equation modelling which was explained by Anderson and Gerbing (1988) was followed. Firstly, measurement model was tested by confirmatory factor analysis before testing the structural model. In the analysis maximum likelihood estimation was employed (ML) in AMOS 20.0. The measurement model consisted of latent variables including autonomy, competence, relatedness, antisocial behaviour towards opponent, antisocial behaviour towards teammate, prosocial behaviour towards opponent and prosocial behaviour towards teammate. <i>χ2</i>/<i>df</i> ratio &lt; 3.00, CFI &gt; .90, and RMSEA &lt; .08 were used to evaluate the model fit. Later, structural equation modelling was used to analyse the effect of satisfaction of the basic psychological needs on prosocial and antisocial behaviors.
DOI: 10.5066/p9lzn192
title: Near-surface geophysical data collected along French Gulch near Breckenridge, Colorado, USA, September 2020

description: Near-surface geophysical surveys were completed in September 2020 in a mine-affected drainage near Breckenridge, Colorado, known as French Gulch. The study area was along a 0.3 mile (0.5 kilometer [km]) reach of French Gulch, approximately 2 river miles upstream from its confluence with the Blue River. This data release presents data from three geophysical surveys that used fiber-optic distributed temperature sensing (FO-DTS), forward-looking infrared (FLIR) imagery, and frequency domain electromagnetic induction (FDEM). The FO-DTS data were collected from September 14 to 17, 2020, using a Silixa XT-DTS system (Silixa, 2021) in single-ended mode. The FO-DTS cable was placed along the right and left banks of the French Gulch study reach. Within the zipped folder "DTS.zip," two comma-separated (.csv) files contain FO-DTS data collected along the right bank ('rb') and left bank ('lb') of the stream channel, as well as coordinates of the cable position collected using a Trimble Global Positioning System (GPS). Beyond georeferencing and time-correction, the FO-DTS data were not processed. All associated FLIR files are within the folder named "FLIR.zip". The FLIR data were collected using a FLIR E8 camera (FLIR Systems, Inc., 2021) during a pre-dawn survey on September 17, 2020. The survey traveled along the FO-DTS cable (going downstream along the right bank and then returning upstream along the left bank). The GPS coordinates for the images are provided in a separate .csv file (flir_data_summary.csv). All associated FDEM files are within the folder named "FDEM.zip".The FDEM data were collected with a portable GEM-2 instrument (Geophex Ltd., 2021) carried at a height of 3.28 feet (1 meter) above ground surface during walking surveys on September 14-17, 2020. Multi-frequency quadrature data ranging from 1,530 to 47,970 hertz (Hz) were recorded by the instrument in horizontal coplanar mode. The *gem.csv files contain the raw FDEM data and coordinate information extracted from the instrument and converted to a tabular format. Within each dataset's folder is a *readme.txt that provides additional data-collection and data-use details.
DOI: 10.5517/ccdc.csd.cc23ghcg
title: CCDC 1950345: Experimental Crystal Structure Determination

description: Related Article: Tan-Hao Shi,  Qing-Hui Guo,  Shuo Tong,  Mei-Xiang Wang|2020|J.Am.Chem.Soc.|142|4576|doi:10.1021/jacs.0c00112
DOI: 10.5517/ccdc.csd.cc26tvgc
title: CCDC 2050633: Experimental Crystal Structure Determination

description: Related Article: Longhui Duan, Zhonggui Wang, Kun Zhao, Zhenhua Gu|2021|Chem.Commun.|57|3881|doi:10.1039/D1CC00171J
DOI: 10.5517/ccdc.csd.cc26tvjf
title: CCDC 2050635: Experimental Crystal Structure Determination

description: Related Article: Longhui Duan, Zhonggui Wang, Kun Zhao, Zhenhua Gu|2021|Chem.Commun.|57|3881|doi:10.1039/D1CC00171J
DOI: 10.5517/ccdc.csd.cc26tvkg
title: CCDC 2050636: Experimental Crystal Structure Determination

description: Related Article: Longhui Duan, Zhonggui Wang, Kun Zhao, Zhenhua Gu|2021|Chem.Commun.|57|3881|doi:10.1039/D1CC00171J
DOI: 10.5281/zenodo.4581137
title: Datasets of the publication "Comparison of phenotypical antimicrobial resistance between clinical and non-clinical E. coli isolates from broilers, turkeys and calves in four European countries."

description: Datasets used for the creation of the manuscript: "Comparison of phenotypical antimicrobial resistance between clinical and non-clinical E. coli isolates from broilers, turkeys and calves in four European countries."
DOI: 10.5281/zenodo.4581136
title: Datasets of the publication "Comparison of phenotypical antimicrobial resistance between clinical and non-clinical E. coli isolates from broilers, turkeys and calves in four European countries."

description: Datasets used for the creation of the manuscript: "Comparison of phenotypical antimicrobial resistance between clinical and non-clinical E. coli isolates from broilers, turkeys and calves in four European countries."
DOI: 10.6084/m9.figshare.14054828
title: Supplemental Table 1

description: Supplemental Table 1. Reported deaths due to complications of bariatric surgery during initial post-operative period (week 1) and reported deaths after post-operative period and before tissue collection (weeks 2-8).
DOI: 10.6084/m9.figshare.14054828.v1
title: Supplemental Table 1

description: Supplemental Table 1. Reported deaths due to complications of bariatric surgery during initial post-operative period (week 1) and reported deaths after post-operative period and before tissue collection (weeks 2-8).
DOI: 10.26208/rteb-wy44
title: Supplementary data, code, and information for ‘Multidecadal climate oscillations during the past millennium driven by volcanic forcing’ (Science, Mann et al. 2021)

description: Past research argues for an internal multidecadal (40-60 year) oscillation distinct from climate noise. Recent studies have argued this so-termed Atlantic Multidecadal Oscillation (“AMO”) is instead a manifestation of competing time-varying effects of anthropogenic greenhouse gases and sulfate aerosols. That conclusion is bolstered by the absence of robust multidecadal climate oscillations in control simulations of current-generation models. Paleoclimate data, however, do demonstrate multidecadal oscillatory behavior during the pre-industrial era. Comparing control and forced “last millennium” simulations, we show that these apparent multidecadal oscillations are an artifact of pulses of volcanic activity during the pre-industrial era that project significantly onto the multidecadal (50-70 year) frequency band. We conclude that there is no compelling evidence for internal multidecadal oscillations in the climate system.
DOI: 10.21949/1522032
title: CONUS_ROAD_AND_AVIATION_NOISE_IS_Apr_2018
DOI: 10.21949/1522033
title: CONUS_ROAD_NOISE_IS_Apr_2018
DOI: 10.21949/1522050
title: FARS_cevent
DOI: 10.21949/1522051
title: FARS_cevent
DOI: 10.21949/1522052
title: FARS_damage
DOI: 10.21949/1522053
title: FARS_damage
DOI: 10.21949/1522054
title: FARS_distract
DOI: 10.21949/1522055
title: FARS_distract
DOI: 10.21949/1522056
title: FARS_drimpair
DOI: 10.21949/1522057
title: FARS_drimpair
DOI: 10.21949/1522058
title: FARS_factor
DOI: 10.21949/1522059
title: FARS_factor
DOI: 10.21949/1522060
title: FARS_maneuver
DOI: 10.21949/1522061
title: FARS_maneuver
DOI: 10.21949/1522062
title: FARS_miacc
DOI: 10.21949/1522063
title: FARS_miacc
DOI: 10.21949/1522064
title: FARS_midrvacc
DOI: 10.21949/1522065
title: FARS_midrvacc
DOI: 10.21949/1522066
title: FARS_miper
DOI: 10.21949/1522067
title: FARS_miper
DOI: 10.21949/1522068
title: FARS_nmcrash
DOI: 10.21949/1522069
title: FARS_nmcrash
DOI: 10.21949/1522070
title: FARS_nmimpair
DOI: 10.21949/1522071
title: FARS_nmimpair
DOI: 10.21949/1522072
title: FARS_nmprior
DOI: 10.21949/1522073
title: FARS_nmprior
DOI: 10.21949/1522074
title: FARS_parkwork
DOI: 10.21949/1522075
title: FARS_parkwork
DOI: 10.21949/1522076
title: FARS_pbtype
DOI: 10.21949/1522077
title: FARS_pbtype
DOI: 10.21949/1522080
title: FARS_person
DOI: 10.21949/1522081
title: FARS_person
DOI: 10.21949/1522082
title: FARS_safetyeq
DOI: 10.21949/1522083
title: FARS_safetyeq
DOI: 10.21949/1522086
title: FARS_vehicle
DOI: 10.21949/1522087
title: FARS_vehicle
DOI: 10.21949/1522088
title: FARS_vevent
DOI: 10.21949/1522089
title: FARS_vevent
DOI: 10.21949/1522090
title: FARS_vindecode
DOI: 10.21949/1522092
title: FARS_violatn
DOI: 10.21949/1522093
title: FARS_violatn
DOI: 10.21949/1522091
title: FARS_vindecode
DOI: 10.21949/1522094
title: FARS_vision
DOI: 10.21949/1522095
title: FARS_vision
DOI: 10.21949/1522096
title: FARS_vsoe
DOI: 10.21949/1522097
title: FARS_vsoe
DOI: 10.21949/1522109
title: GTFS_NTM_agency
DOI: 10.21949/1522111
title: GTFS_NTM_shapes
DOI: 10.21949/1522112
title: GTFS_NTM_shapes
DOI: 10.21949/1522115
title: Hawaii_Aviation_Noise
DOI: 10.21949/1522116
title: Hawaii_Road_and_Aviation_Noise
DOI: 10.21949/1522117
title: Hawaii_Road_and_Aviation_Noise
DOI: 10.21949/1522118
title: Hawaii_Road_Noise
DOI: 10.21949/1522119
title: Hawaii_Road_Noise
DOI: 10.21949/1522120
title: Highway_Performance_Monitoring_System_123
DOI: 10.21949/1522121
title: Highway_Performance_Monitoring_System_4
DOI: 10.21949/1522122
title: Highway_Performance_Monitoring_System_4
DOI: 10.21949/1522123
title: Highway_Performance_Monitoring_System_4
DOI: 10.21949/1522125
title: Highway_Performance_Monitoring_System_5
DOI: 10.21949/1522126
title: Highway_Performance_Monitoring_System_5
DOI: 10.21949/1522124
title: Highway_Performance_Monitoring_System_5
DOI: 10.21949/1522127
title: Highway_Performance_Monitoring_System_6
DOI: 10.21949/1522128
title: Highway_Performance_Monitoring_System_6
DOI: 10.21949/1522129
title: Highway_Performance_Monitoring_System_6
DOI: 10.21949/1522130
title: Highway_Performance_Monitoring_System_NHS1_9
DOI: 10.21949/1522132
title: Highway_Performance_Monitoring_System_NHS1_9
DOI: 10.21949/1522160
title: National Network
DOI: 10.21949/1522182
title: Nonattainment_Area_1HourOzone_1990 (OLD)
DOI: 10.21949/1522183
title: Nonattainment_Area_1HourOzone_1990 (OLD)
DOI: 10.21949/1522184
title: Nonattainment_Area_1HourOzone_1990 (OLD)
DOI: 10.21949/1522197
title: Nonattainment_Area_CO_1990 (OLD)
DOI: 10.21949/1522198
title: Nonattainment_Area_CO_1990 (OLD)
DOI: 10.21949/1522199
title: Nonattainment_Area_CO_1990 (OLD)
DOI: 10.21949/1522203
title: Nonattainment_Area_NO2_1990 (OLD)
DOI: 10.21949/1522204
title: Nonattainment_Area_NO2_1990 (OLD)
DOI: 10.21949/1522206
title: Nonattainment_Area_PB_1978 (OLD)
DOI: 10.21949/1522207
title: Nonattainment_Area_PB_1978 (OLD)
DOI: 10.21949/1522205
title: Nonattainment_Area_NO2_1990 (OLD)
DOI: 10.21949/1522208
title: Nonattainment_Area_PB_1978 (OLD)
DOI: 10.21949/1522215
title: Nonattainment_Area_PM10_1990 (OLD)
DOI: 10.21949/1522216
title: Nonattainment_Area_PM10_1990 (OLD)
DOI: 10.21949/1522217
title: Nonattainment_Area_PM10_1990 (OLD)
DOI: 10.21949/1522227
title: Nonattainment_Area_SO2_1971 (OLD)
DOI: 10.21949/1522228
title: Nonattainment_Area_SO2_1971 (OLD)
DOI: 10.21949/1522229
title: Nonattainment_Area_SO2_1971 (OLD)
DOI: 10.21949/1522230
title: Nonattainment_Area_SO2_1978 (OLD)
DOI: 10.21949/1522231
title: Nonattainment_Area_SO2_1978 (OLD)
DOI: 10.21949/1522232
title: Nonattainment_Area_SO2_1978 (OLD)
DOI: 10.21949/1522240
title: Passenger Intermodal Facility
DOI: 10.21949/1522247
title: Ports
DOI: 10.21949/1522252
title: Rail Nodes
DOI: 10.21949/1522253
title: Rail Nodes
DOI: 10.21949/1522254
title: Rail Nodes
DOI: 10.21949/1522255
title: Rail Nodes
DOI: 10.21949/1522263
title: Runway_Ends
DOI: 10.21949/1522008
title: Alaska_Aviation_Noise
DOI: 10.21949/1522009
title: Alaska_Road_and_Aviation_Noise
DOI: 10.21949/1522010
title: Alaska_Road_Noise
DOI: 10.21949/1522026
title: Border_X
DOI: 10.21949/1522031
title: CONUS_AVIATION_NOISE_IS_Apr_2018
DOI: 10.15468/erc9e3
title: Description of a new species and new records of Gerromorpha (Insecta: Hemiptera Heteroptera) from Panama and Colombia

description: This dataset contains the digitized treatments in Plazi based on the original journal article Rodrigues, Juliana Mourão Dos Santos, Crumière, Antonin Jean Johan, Mondragón-F, Silvia Patricia, Morales, Irina, Khila, Abderrahman, Moreira, Felipe Ferraz Figueiredo (2021): Description of a new species and new records of Gerromorpha (Insecta: Hemiptera Heteroptera) from Panama and Colombia. Zootaxa 4958 (1): 226-251, DOI: https://doi.org/10.11646/zootaxa.4958.1.12
DOI: 10.21949/1522131
title: Highway_Performance_Monitoring_System_NHS1_9
DOI: 10.15468/88qnrz
title: Minute litter bugs (Heteroptera: Schizopteridae) from the Brazilian Amazon savannas, a poorly sampled biome

description: This dataset contains the digitized treatments in Plazi based on the original journal article Albuquerque, Flavio, De-Souza, Caroline Costa, Favacho, César Augusto Chaves, Carvalho-Filho, Fernando Da Silva (2021): Minute litter bugs (Heteroptera: Schizopteridae) from the Brazilian Amazon savannas, a poorly sampled biome. Zootaxa 4958 (1): 252-260, DOI: https://doi.org/10.11646/zootaxa.4958.1.13
DOI: 10.6084/m9.figshare.14447355.v1
title: Datasets from World Spider Trait database

description: Datasets from the World Spider Trait database<br>
DOI: 10.6084/m9.figshare.14447355
title: Datasets from World Spider Trait database

description: Datasets from the World Spider Trait database<br>
DOI: 10.6084/m9.figshare.14411999
title: Data PLOS One.xlsx

description: Morphometric measurements of Geotria lamprey
DOI: 10.6084/m9.figshare.14411999.v1
title: Data PLOS One.xlsx

description: Morphometric measurements of Geotria lamprey
DOI: 10.5281/zenodo.4699583
title: Data and code used in "Distinct Lithologies in Jezero Crater, Mars"

description: This repository contains the datasets and code used in the Zastrow and Glotch (2021) <strong>Distinct Carbonate Lithologies in Jezero Crater, Mars</strong>, <em>Geophysical Research Letters, 48. </em>https://doi.org/10.1029/2020GL092365. <strong>Abstract</strong> Jezero crater is the landing site for the Mars 2020 Perseverance rover. The Noachian-aged crater has undergone several periods of fluvial and lacustrine activity and many phyllosilicate- and carbonate-bearing rocks were formed and emplaced as a result. It also contains a portion of the regional Nili Fossae olivine-carbonate unit. In this work, we performed spectral mixture analysis of visible/near-infrared hyperspectral imagery over Jezero. We modeled carbonate abundances up to ~35% and identified three distinct units containing different carbonate phases. Our work also suggests that the olivine in the regional unit is predominantly restricted to aeolian deposis overlying the carbonate-bearing rocks. The diversity of carbonate phases in Jezero points to multiple periods of carbonate formation under varying conditions. <strong>Description of Repository Datasets</strong> code_unmixing.zip: This folder contains the necessary files to unmix CRISM data using davinci's sma() function. The model is run by launching davinci and entering <em>source('ssa_unmixing_040ff')</em>. To switch the CRISM image, edit line 10 in s<em>sa_unmixing_040ff</em>. Unmixing code: <em>ssa_unmixing_040ff</em> Davinci functions: <em>unmixing_fxns.dvrc</em> Spectral library: <em>n_k_jezeropaper.hdf</em> data_input.zip: This folder contains ENVI image files that have been DISORT-processed and are ready to be modeled using the unmixing code. Each of the 3 CRISM images has two data files and ENVI headers: 1) the full uncut image cube and 2) the cut image cube. Image FRT000047A3 has two additional cut image cubes for the opacity bounds. data_models.zip: This folder contains NetCDF files with the output of the unmixing model that have been registered to the HiRISE base image. Files contain the input CRISM measured spectra, output modeled spectra, normalized mineral concentration maps, and RMS error maps. Data were written to file using the xarray Python package and can be read into python using the <em>xarray.open_dataset()</em> function. Added Kaolinite, Bounds, Full Spectrum, No Phyllosilicate, No Siderite These folders contain not-georegistered (but projected) model output for these additional models. data_roi.zip: This folder contains the shapefile for the ROI mapping. <strong>Version 1.1.0 Updates</strong> Added models "Bounds" and "No Phyllosilicates", updated ROI shapefile. <strong>Version 1.2.0 Updates</strong> Added input data for 047A3's opacity bounds.
DOI: 10.5281/zenodo.4408576
title: Data and code used in "Distinct Lithologies in Jezero Crater, Mars"

description: This repository contains the datasets and code used in the Zastrow and Glotch (2021) <strong>Distinct Carbonate Lithologies in Jezero Crater, Mars</strong>, <em>Geophysical Research Letters, 48. </em>https://doi.org/10.1029/2020GL092365. <strong>Abstract</strong> Jezero crater is the landing site for the Mars 2020 Perseverance rover. The Noachian-aged crater has undergone several periods of fluvial and lacustrine activity and many phyllosilicate- and carbonate-bearing rocks were formed and emplaced as a result. It also contains a portion of the regional Nili Fossae olivine-carbonate unit. In this work, we performed spectral mixture analysis of visible/near-infrared hyperspectral imagery over Jezero. We modeled carbonate abundances up to ~35% and identified three distinct units containing different carbonate phases. Our work also suggests that the olivine in the regional unit is predominantly restricted to aeolian deposis overlying the carbonate-bearing rocks. The diversity of carbonate phases in Jezero points to multiple periods of carbonate formation under varying conditions. <strong>Description of Repository Datasets</strong> code_unmixing.zip: This folder contains the necessary files to unmix CRISM data using davinci's sma() function. The model is run by launching davinci and entering <em>source('ssa_unmixing_040ff')</em>. To switch the CRISM image, edit line 10 in s<em>sa_unmixing_040ff</em>. Unmixing code: <em>ssa_unmixing_040ff</em> Davinci functions: <em>unmixing_fxns.dvrc</em> Spectral library: <em>n_k_jezeropaper.hdf</em> data_input.zip: This folder contains ENVI image files that have been DISORT-processed and are ready to be modeled using the unmixing code. Each of the 3 CRISM images has two data files and ENVI headers: 1) the full uncut image cube and 2) the cut image cube. Image FRT000047A3 has two additional cut image cubes for the opacity bounds. data_models.zip: This folder contains NetCDF files with the output of the unmixing model that have been registered to the HiRISE base image. Files contain the input CRISM measured spectra, output modeled spectra, normalized mineral concentration maps, and RMS error maps. Data were written to file using the xarray Python package and can be read into python using the <em>xarray.open_dataset()</em> function. Added Kaolinite, Bounds, Full Spectrum, No Phyllosilicate, No Siderite These folders contain not-georegistered (but projected) model output for these additional models. data_roi.zip: This folder contains the shapefile for the ROI mapping. <strong>Version 1.1.0 Updates</strong> Added models "Bounds" and "No Phyllosilicates", updated ROI shapefile. <strong>Version 1.2.0 Updates</strong> Added input data for 047A3's opacity bounds.
DOI: 10.5281/zenodo.4701590
title: Predictions: Influenza predictions

description: Predictions for influenza occurences for Data Stewardship assignment at TU Wien.
DOI: 10.5281/zenodo.4701589
title: Predictions: Influenza predictions

description: Predictions for influenza occurences for Data Stewardship assignment at TU Wien.