cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21258/1200798
title: Inventaire forestier national suisse - Tableau no 193228
DOI: 10.21258/1200799
title: Inventaire forestier national suisse - Tableau no 193223
DOI: 10.21258/1200800
title: Inventaire forestier national suisse - Tableau no 193222
DOI: 10.21258/1200801
title: Inventaire forestier national suisse - Tableau no 193221
DOI: 10.21258/1200802
title: Inventaire forestier national suisse - Tableau no 193220
DOI: 10.15129/a33abfa5-b491-4dee-875f-d485a9a0ef1a
title: StrathSpace model outputs for MEESO

description: ## DATA DESCRIPTION

Folders "m0_no-fishing", "m1_SUF", "m2_FFRc" and "m3_FFRc+mask" contain long-term outputs from the spatial
population dynamic model, StrathSpace, for both mesopelagic species Benthosema glaciale and Maurolicus
muelleri. Each folder corresponds to a specific model setting for fishing mortality, which are:
- m0: no fishing
- m1: spatially uniform fishing model (SUF) where fishing mortality is the same in any location of the
 spatial domain.
- m2: fishing functional response type III with effort reallocation (FFRc), model where fishing activity
 and effort is concentrated in areas of high population density.
- m3: model using both FFRc and a fishing mask which restricts the fishing activity to areas within a 460m
 distance from ports (FFRc+mask).
These long-term models were ran from 1980 to 2098 with a spin-up period of 30 years.
In each model folder and for each model run, a set of figures (including length distributions, time series,
spatial distributions) is available in the "figures" subfolder.

The "yield-curves" folder include key figures from outputs used in producing annual yield curves between
1980 and 2097 with a 3-year interval.

------------------------------------------------------------------------------------------------------------

The following files give details on the model's options (with default values) and define the model's spatial
grid:

Description of model parameters for StrathSpace:
- model-opts_def.txt

Mesh and mask file (including approximation of cell surface (areas in km^2) for density calculations):
- model_mesh_mask.nc
DOI: 10.6084/m9.figshare.25196969
title: 20240210_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.6084/m9.figshare.25196969.v1
title: 20240210_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.5281/zenodo.10640893
title: ET_geoframe_Tier01
DOI: 10.5281/zenodo.10640894
title: ET_geoframe_Tier01
DOI: 10.6073/pasta/07a14f4c61eeacd179c12321d3f6a6a0
title: Hubbard Brook Experimental Forest: Data in support of Territory sizes and patterns of habitat use by forest passerines over five decades: Ideal free or ideal despotic?, Zammarelli et al.

description: In this study, we analyzed territory sizes of seven migratory songbirds occupying a 10-hectare plot in the Hubbard Brook Experimental Forest, New Hampshire, USA over a 52-year period (1969-2021). All species varied in abundance over the duration of the study, some dramatically. Changes in territory sizes were inversely related to changes in abundance within the study plot despite differences in habitat preference, supporting the ideal free distribution. Territory sizes varied two-fold within a year across species. Results contribute to understanding how variation in territory size relates to 1) how habitat use changes with bird abundance and 2) the evolution of territory size. This dataset includes data, R code, and spatial files supporting this study.
 These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
 Associated datasets in the data catalog:
 Holmes, R.T., N.L. Rodenhouse, and M.T. Hallworth. 2022. Bird Abundances at the Hubbard Brook Experimental Forest (1969-present) and on three replicate plots (1986-2000) in the White Mountain National Forest ver 8. Environmental Data Initiative. https://doi.org/10.6073/pasta/6422a72893616ce9020086de5a5714cd (Accessed 2023-12-17).
 Zammarelli, M.B. and R.T. Holmes. 2023. Hubbard Brook Experimental Forest: 10-ha bird plot territory maps, 1969 - 2021 ver 1. Environmental Data Initiative. https://doi.org/10.6073/pasta/df93595ba8df60570d472f6e6f58839e (Accessed 2024-01-11).
DOI: 10.6084/m9.figshare.25196972
title: AppendixA_List of IATE terms in corpus.xlsx

description: The list contains 909 trade-related terms that have entries in IATE and that were present in the study's corpus. The corpus consists of translation memories comprising texts from 2020, made available by the European Commission's Directorate-General for Translation.
DOI: 10.6084/m9.figshare.25196972.v1
title: AppendixA_List of IATE terms in corpus.xlsx

description: The list contains 909 trade-related terms that have entries in IATE and that were present in the study's corpus. The corpus consists of translation memories comprising texts from 2020, made available by the European Commission's Directorate-General for Translation.
DOI: 10.6084/m9.figshare.25196985
title: Exposure to moral stressors and associated outcomes in healthcare workers: prevalence, correlates, and impact on job attrition

description: <b>Introduction</b>: Healthcare workers (HCWs) often experience morally challenging situations in their workplaces that may contribute to job turnover and compromised well-being. This study aimed to characterize the nature and frequency of moral stressors experienced by HCWs during the COVID-19 pandemic, examine their influence on psychosocial-spiritual factors, and capture the impact of such factors and related moral stressors on HCWs’ self-reported job attrition intentions. <b>Methods:</b> A sample of 1204 Canadian HCWs were included in the analysis through a web-based survey platform whereby work-related factors (e.g. years spent working as HCW, providing care to COVID-19 patients), moral distress (captured by MMD-HP), moral injury (captured by MIOS), mental health symptomatology, and job turnover due to moral distress were assessed. <b>Results:</b> Moral stressors with the highest reported frequency and distress ratings included patient care requirements that exceeded the capacity HCWs felt safe/comfortable managing, reported lack of resource availability, and belief that administration was not addressing issues that compromised patient care. Participants who considered leaving their jobs (44%; <i>N </i>= 517) demonstrated greater moral distress and injury scores. Logistic regression highlighted burnout (AOR = 1.59; <i>p</i> &lt; .001), moral distress (AOR = 1.83; <i>p</i> &lt; .001), and moral injury due to trust violation (AOR = 1.30; <i>p </i>= .022) as significant predictors of the intention to leave one’s job. <b>Conclusion:</b> While it is impossible to fully eliminate moral stressors from healthcare, especially during exceptional and critical scenarios like a global pandemic, it is crucial to recognize the detrimental impacts on HCWs. This underscores the urgent need for additional research to identify protective factors that can mitigate the impact of these stressors. This study explored the nature of moral stressors encountered by health care workers, along with impacts on moral injury and intentions to leave their jobs.Morally distressing encounters were common, with the most prevalent and distressing experiences being organizational or team-based in nature.Findings revealed that severity of moral injury, particularly related to trust violation or betrayal, was a key factor influencing healthcare workers’ intentions to leave their jobs. This study explored the nature of moral stressors encountered by health care workers, along with impacts on moral injury and intentions to leave their jobs. Morally distressing encounters were common, with the most prevalent and distressing experiences being organizational or team-based in nature. Findings revealed that severity of moral injury, particularly related to trust violation or betrayal, was a key factor influencing healthcare workers’ intentions to leave their jobs.
DOI: 10.6084/m9.figshare.25196963
title: MAD data

description: The questionnaire was created after reviewing different pieces of literature and was then adapted to the local context. Data was collected using structured questionnaires. The twenty-four-hour recall method and food frequency questionnaire were used to assess dietary diversity and meal frequency.
DOI: 10.6084/m9.figshare.25196963.v1
title: Minimum acceptable diet among 6 to 23 month child

description: The questionnaire was created after reviewing different pieces of literature and was then adapted to the local context. Data was collected using structured questionnaires. The twenty-four-hour recall method and food frequency questionnaire were used to assess dietary diversity and meal frequency.
DOI: 10.5281/zenodo.10629192
title: Simulation data archive: Enhanced ion acceleration due to high-shear tangential discontinuities upstream of quasi-perpendicular shocks

description: Matlab code and data used to produce figures for submission to JGR: Space physics.
DOI: 10.5281/zenodo.10608997
title: Socioeconomic drivers data from GIS to predict forest fires at regional level: kernel density fires response variable

description: This data gathers socioeconomic drivers at 1km2 grid cell spatial resolution to predict forest fires in a region in Spain. The response variable was fire density by grid cell from kernel density methods. It was produced under the Firemap project (https://geogra.uah.es/firemap/) by using GIS, spatial and statistical data sources at regional level in Spain. The resulting work was published at Vilar del Hoyo L, Martín Isabel MP, Martínez Vega FJ. 2011. Logistic regression models for human-caused wildfire risk estimation: analysing the effect of the spatial accuracy in fire occurrence data. European Journal of Forest Research. 130:983-96. doi: 10.1007/s10342-011-0488-2 
description: .-Description of the data and file structure

The data set is an excel file with columns for these variables:



UTM_CAM: UTM cell ID

SURFACE_UTM: UTM surface in m2

DEP_VAR5: response variable calculated from kernel density interpolation

RECREATIONAL_AREA: Buffer of 300 m of recreational areas and weighted by presence of barbecue

B_ROAD: Buffer of roads (50-m highways, 25-mmain roads, 15-m remaining roads)

TRAILS_B: Buffer of forest trails (300 m)

RAILWAY_B: Buffer of railways (70 m)

ELECTRIC_LINE_B: Buffer of electric lines (2 m)

PROTECTED_AREA: Natural Protected Areas

SPA: Special Bird Protection Areas

PRESER_PU_MOUNT: Public Utility and Preserved Mountains

CONSOR_MOUNT: Consorcied Mountains

SUR_FOR: forest surface

FUEL_INCRE: Fuel increase = [(agricultural use to forest) + (non-productive use to forest)] - [(forest toagricultural) ? (forest to nonproductive)

WUI: Wildland urban interface (Buffer of 12.5 m)

FOR_CULT_I: Forest–agriculture interface (Buffer of 200 m)

FOR_PASTURE_I: Forest–pasture interface (buffer of 200 m)

CATTLE_CHARGE: Cattle-grazing pressure (number of sheep and goat cattle in pastures and shrublands) 

DICO_VAR: dicothomic response variable (0, 1)

SUM_FIRE_0607: number of fires 2006-2007

FIRE_0607: presence/absence of fire 2006-2007
DOI: 10.5281/zenodo.10608998
title: Socioeconomic drivers data from GIS to predict forest fires at regional level: kernel density fires response variable

description: This data gathers socioeconomic drivers at 1km2 grid cell spatial resolution to predict forest fires in a region in Spain. The response variable was fire density by grid cell from kernel density methods. It was produced under the Firemap project (https://geogra.uah.es/firemap/) by using GIS, spatial and statistical data sources at regional level in Spain. The resulting work was published at Vilar del Hoyo L, Martín Isabel MP, Martínez Vega FJ. 2011. Logistic regression models for human-caused wildfire risk estimation: analysing the effect of the spatial accuracy in fire occurrence data. European Journal of Forest Research. 130:983-96. doi: 10.1007/s10342-011-0488-2 
description: .-Description of the data and file structure

The data set is an excel file with columns for these variables:



UTM_CAM: UTM cell ID

SURFACE_UTM: UTM surface in m2

DEP_VAR5: response variable calculated from kernel density interpolation

RECREATIONAL_AREA: Buffer of 300 m of recreational areas and weighted by presence of barbecue

B_ROAD: Buffer of roads (50-m highways, 25-mmain roads, 15-m remaining roads)

TRAILS_B: Buffer of forest trails (300 m)

RAILWAY_B: Buffer of railways (70 m)

ELECTRIC_LINE_B: Buffer of electric lines (2 m)

PROTECTED_AREA: Natural Protected Areas

SPA: Special Bird Protection Areas

PRESER_PU_MOUNT: Public Utility and Preserved Mountains

CONSOR_MOUNT: Consorcied Mountains

SUR_FOR: forest surface

FUEL_INCRE: Fuel increase = [(agricultural use to forest) + (non-productive use to forest)] - [(forest toagricultural) ? (forest to nonproductive)

WUI: Wildland urban interface (Buffer of 12.5 m)

FOR_CULT_I: Forest–agriculture interface (Buffer of 200 m)

FOR_PASTURE_I: Forest–pasture interface (buffer of 200 m)

CATTLE_CHARGE: Cattle-grazing pressure (number of sheep and goat cattle in pastures and shrublands) 

DICO_VAR: dicothomic response variable (0, 1)

SUM_FIRE_0607: number of fires 2006-2007

FIRE_0607: presence/absence of fire 2006-2007
DOI: 10.6084/m9.figshare.21428088
title: Application of tribological artificial neural networks in machine elements training data sets

description:  
Four data sets are provided for training of an ANN for the prediction the central film thickness of a steel-steel line contact.
Manuscript: Application of tribological artificial neural networks in machine elements<br>
Authors: Walker J, Questa H, Raman A, Ahmed, Mohammadpour M, Bewsher S.R, Offner G<br>
Year: 2022<br>
Journal: Tribology Letters<br>
Status: Under Review
DOI: 10.34740/kaggle/dsv/7596545
title: MoviesDatasets
DOI: 10.34740/kaggle/dsv/7596549
title: Mahanagar Yatayat Transport Dataset
DOI: 10.6084/m9.figshare.25196985.v1
title: Exposure to moral stressors and associated outcomes in healthcare workers: prevalence, correlates, and impact on job attrition

description: <b>Introduction</b>: Healthcare workers (HCWs) often experience morally challenging situations in their workplaces that may contribute to job turnover and compromised well-being. This study aimed to characterize the nature and frequency of moral stressors experienced by HCWs during the COVID-19 pandemic, examine their influence on psychosocial-spiritual factors, and capture the impact of such factors and related moral stressors on HCWs’ self-reported job attrition intentions. <b>Methods:</b> A sample of 1204 Canadian HCWs were included in the analysis through a web-based survey platform whereby work-related factors (e.g. years spent working as HCW, providing care to COVID-19 patients), moral distress (captured by MMD-HP), moral injury (captured by MIOS), mental health symptomatology, and job turnover due to moral distress were assessed. <b>Results:</b> Moral stressors with the highest reported frequency and distress ratings included patient care requirements that exceeded the capacity HCWs felt safe/comfortable managing, reported lack of resource availability, and belief that administration was not addressing issues that compromised patient care. Participants who considered leaving their jobs (44%; <i>N </i>= 517) demonstrated greater moral distress and injury scores. Logistic regression highlighted burnout (AOR = 1.59; <i>p</i> &lt; .001), moral distress (AOR = 1.83; <i>p</i> &lt; .001), and moral injury due to trust violation (AOR = 1.30; <i>p </i>= .022) as significant predictors of the intention to leave one’s job. <b>Conclusion:</b> While it is impossible to fully eliminate moral stressors from healthcare, especially during exceptional and critical scenarios like a global pandemic, it is crucial to recognize the detrimental impacts on HCWs. This underscores the urgent need for additional research to identify protective factors that can mitigate the impact of these stressors. This study explored the nature of moral stressors encountered by health care workers, along with impacts on moral injury and intentions to leave their jobs.Morally distressing encounters were common, with the most prevalent and distressing experiences being organizational or team-based in nature.Findings revealed that severity of moral injury, particularly related to trust violation or betrayal, was a key factor influencing healthcare workers’ intentions to leave their jobs. This study explored the nature of moral stressors encountered by health care workers, along with impacts on moral injury and intentions to leave their jobs. Morally distressing encounters were common, with the most prevalent and distressing experiences being organizational or team-based in nature. Findings revealed that severity of moral injury, particularly related to trust violation or betrayal, was a key factor influencing healthcare workers’ intentions to leave their jobs.
DOI: 10.6084/m9.figshare.25133798.v1
title: Revisited occurrence database of Verbenaceae, based on online repositories with manual additions

description: Comprising 4,843 entries, this dataset reflects preserved specimen occurrences sourced from online repositories. It undergoes meticulous manual revisions for precise taxonomic identification and accurate geographic distribution.
DOI: 10.5281/zenodo.10640932
title: Dataset - Closed Captions en español.  Live Captioning Quality in Spanish-language Newscasts in the U.S.

description:
DOI: 10.5281/zenodo.7741460
title: Dataset - Closed Captions en español.  Live Captioning Quality in Spanish-language Newscasts in the U.S.

description:
DOI: 10.5281/zenodo.7741461
title: Dataset - Closed Captions en español. Live Captioning Quality in Spanish-language Newscasts in the U.S.
DOI: 10.5281/zenodo.10640880
title: Associated data and scripts for "Influence of more mechanistic representation of particle dry deposition on historical changes in global aerosol burdens and radiative forcing"

description: Archive for associated data and scripts for the following manuscript: Clifton, O. E., Bauer, S. E., Tsigaridis, K., Aleinov, I., Cowan, T. G., Faluvegi, G., & Kelley, M. (2024). Influence of more mechanistic representation of particle dry deposition on 1850-to-2000 changes in global aerosol burdens and radiative forcing, Journal of Advances in Modeling Earth Systems.

 

Archive contains model data, Jupyter notebooks with Python code to plot data into figures and tables presented in the manuscript, and fortran ModelE code for the new aerosol dry deposition scheme.
DOI: 10.5281/zenodo.10640881
title: Associated data and scripts for "Influence of more mechanistic representation of particle dry deposition on historical changes in global aerosol burdens and radiative forcing"

description: Archive for associated data and scripts for the following manuscript: Clifton, O. E., Bauer, S. E., Tsigaridis, K., Aleinov, I., Cowan, T. G., Faluvegi, G., & Kelley, M. (2024). Influence of more mechanistic representation of particle dry deposition on 1850-to-2000 changes in global aerosol burdens and radiative forcing, Journal of Advances in Modeling Earth Systems.

 

Archive contains model data, Jupyter notebooks with Python code to plot data into figures and tables presented in the manuscript, and fortran ModelE code for the new aerosol dry deposition scheme.
DOI: 10.25928/960y-8w55
title: Chatseis: Seismic data Schaeftlarn
title: Chatseis: Seismische Daten Schäftlarn
title: schaeftlarn

description: Within the framework of DOVE, the project Chatseis combines two seismic methods to increase resolution and reliability of the seismic data; i.e. reflection imaging and full-waveform inversion. To acquire the optimal data for the tasks in the project Chatseis, the German Federal Institute for Geosciences and Resources conducted two seismic surveys together with the Leibniz Institute for Applied Geophysics and the Bayerisches Landesamt für Umwelt. At the DOVE-site 5068_3 (Schäftlarn), the project team registered seismic P-wave data with explosive and vibration sources and different geophones as well as S-wave data with a small-scale vibratory source and a landstreamer system on three profiles (in total ca 3.8 km, 100 GB for P-wave and ca 2.6 km, 16 GB for S-wave).
description: Im Rahmen des ICDP Projekts DOVE kombiniert das Projekt Chatseis zwei seismische Methoden, um die seismische Auflösung und Belastbarkeit der Datenauswertung zu verbessern. Die Methoden sind Reflexionsseismik und Wellenfeldinversion. Um die optimalen Daten zu diesem Zweck zu erheben, führte die Bundesanstalt für Geowissenschaften und Rohstoffe gemeinsam mit dem Leibniz-Institut für Angewandte Geophysik und dem Bayerischen Landesamt für Umwelt zwei seismische Messkampagnen durch. An der DOVE-site 5068_3 (Schäftlarn) registrierte das Team seismische P-Wellen-Daten mit Sprengungen und Vibrationsquellen sowie verschiedenen Geophonen als auch S-Wellen-Daten mit einer kleinskaligen Vibrationsquelle und einem Landstreamer-System auf drei Profilen (insgesamt ca. 3.8 km, 100 GB P-Wellendaten; ca. 2.6 km, 16 GB S-Wellendaten).
DOI: 10.5255/ukda-sn-856899
title: Governing the Climate Adaptation of Care Settings: Participatory Workshop Transcripts, 2022-2024

description: The two online participatory workshops were organised as part of the ClimaCare project (www.climacare.org). The project aimed to provide evidence and insights to help strengthen the resilience of care provision to rising temperatures, and enhance our understanding of individual behaviours, organisational capacity and governance to enable the UK's care provision to develop equitable adaptation pathways. The participatory workshops specifically aimed to investigate the causes of overheating in the care sector and to develop appropriate solutions, by obtaining a better understanding of the underlying system structure and identifying effective places to intervene in the system. Both focus group sessions comprised of a multidisciplinary stakeholder platform, involving experts from the built environment, social care, and public health policy. The first workshop addressed the actions currently taken in response to overheating, their ownership and governance, as well as the possible solutions relating to building design and adaptation, and behavioural, operational and social factors. The participants were initially presented with a simple Causal Loop Diagram (CLD), based on preliminary findings from the ClimaCare project, that differentiated between fundamental and symptomatic solutions. Following the joint modification of the initial CLD and the joint search for solutions, an extended structure depicting the complex interactions and mechanisms that drive overheating and climate adaptation emerged. The second workshop built on the first to identify additional cross-domain interconnections, map evidence in relation to the strength of relationships, and prioritise the variables and relationships deemed to have the highest scale of impact.
DOI: 10.25835/u5gj5bdx
title: Osmotic stress in vitro Wellpott et al.

description: Manuskript by Wellpott et al. 
Liquid in vitro culture system allows gradual intensification of osmotic stress in Solanum tuberosum through sorbitol