cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8248543
title: Stage-specific genotype-by-environment interactions determine yield components in wheat

description: The tables (climate_data.csv, and Yield_data.csv) include the recorded climatic and measured yield components data from multi-environment field trails (2014-2017). The table (soil_water_data.csv) presents the simulated water content for the experiments. The tables (Coefficients_data.csv, and multiple_regression_coefficients_data.csv) present the log p-values of comparing models M1, M2, and M3 and their coefficients. All the necessary information to read these datasets is provided in the table (read_me.csv).
description: Contact: Khadija Sabir, Leibniz Universität Hannover. or Dr. Tsu-Wei Chen (ORCID: 0000-0001-6698-563X), Humboldt University Berlin.
DOI: 10.5281/zenodo.7180986
title: Stage-specific genotype-by-environment interactions determine yield components in wheat

description: The tables (climate_data.csv, and Yield_data.csv) include the recorded climatic and measured yield components data from multi-environment field trails (2014-2017). The table (soil_water_data.csv) presents the simulated water content for the experiments. The tables (Coefficients_data.csv, and multiple_regression_coefficients_data.csv) present the log p-values of comparing models M1, M2, and M3 and their coefficients. All the necessary information to read these datasets is provided in the table (read_me.csv).
description: Contact: Khadija Sabir, Leibniz Universität Hannover. or Dr. Tsu-Wei Chen (ORCID: 0000-0001-6698-563X), Humboldt University Berlin.
DOI: 10.4121/4e17488d-917f-4645-85ab-79e6dda8c8ed
title: Data underlying the master thesis: Climate change mitigation policy alternatives and citizens' preferences trade-offs

description: The data used for the analysis of the master thesis project. Data was gathered as part of a Participatory Value Evaluation, through an online panel. Data include citizens' stated preferences and additional responses to a questionnaire.
DOI: 10.4121/4e17488d-917f-4645-85ab-79e6dda8c8ed.v1
title: Data underlying the master thesis: Climate change mitigation policy alternatives and citizens' preferences trade-offs

description: The data used for the analysis of the master thesis project. Data was gathered as part of a Participatory Value Evaluation, through an online panel. Data include citizens' stated preferences and additional responses to a questionnaire.
DOI: 10.25934/pr00004872.1
title: Available datapackage for study 'Phase 3 Study Comparing Daratumumab, Bortezomib and Dexamethasone (DVd) vs Bortezomib and Dexamethasone (Vd) in Subjects With Relapsed or Refractory Multiple Myeloma'

description: The purpose of this study is to assess the effects of administration of daratumumab when combined with VELCADE (bortezomib) and dexamethasone compared with bortezomib and dexamethasone alone, for participants with relapsed or refractory multiple myeloma.
DOI: 10.6084/m9.figshare.23987937
title: Supplement E: ANOVA 1, 2 dataset

description: ANOVA 1, 2 dataset for R analysis in article "The Grading Process in System 1 and System 2 of Thinking: A Behavioral Economic Approach to Evaluation"
DOI: 10.6084/m9.figshare.23987904
title: Suplement F: T-tests 1, 2, 3, 4 data for R analysis

description: T-tests 1+ 2+ 3+ 4 data for R analysis in interdisciplinary article "The Grading Process in System 1 and System 2 of Thinking: A Behavioral Economic Approach to Evaluation"
DOI: 10.34740/kaggle/dsv/6323813
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.6084/m9.figshare.23987925
title: Supplement D: Complete dataset

description: Complete dataset for R analysis, including coded data, for article "The Grading Process in System 1 and System 2 of Thinking: A Behavioral Economic Approach to Evaluation"
DOI: 10.5258/soton/d2007
title: Dataset for "GhostShiftAddNet: More Features from Energy-Efficient Operations"

description: This dataset supports the publication: GhostShiftAddNet: More Features from Energy-Efficient Operations.' in 'British Machine Vision Conference 2021'.
DOI: 10.18742/23968773
title: 25+ SEA words morpho-semantically annotated in Ancient Greek and Latin

description: This dataset focuses on the semantics of more than 25 words (nouns, verbs, adjectives) pertaining to the semantic field SEA in Latin and Ancient Greek. The corpus includes four texts: (i) for Latin, <i>De bello Gallico</i> (Caesar) and <i>Aeneid 1-6</i> (Vergil); (ii) for Greek, <i>Histories 1-2</i> (Herodotus) and <i>Argonautica</i> (Apollonius Rhodius). Data has been extracted after manually annotating the texts through the annotation tool INCEpTION.
DOI: 10.6084/m9.figshare.23259338.v1
title: Supplementary Material for: Risk Factors for Common Kidney Stones Are Correlated with Kidney Function Independent of Stone Composition

description: Background: Kidney stone type varies with age, sex, season, and medical conditions. Lower estimate glomerular filtration rate (eGFR) leads to changes in urine chemistry, and risk factors for kidney stones are thought to vary by stone type. We explore the association between eGFR, urine risk factors, and common stone compositions. Methods: This was a retrospective cohort study of 811 kidney stone patients seen at Yale Medicine between 1994-2021 with serum chemistries and 24-hour urine chemistries matched within one year of baseline stone analysis. Patients’ eGFR was calculated using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) 2021 equation. Demographics and medical history were compared by Chi-squared tests. 24-hour urine chemistries and stone analyses were analyzed by one-way ANOVA. Linear regressions were performed to control for demographics, comorbidities, and stone composition. Results: With lower eGFR, the proportion of calcium stones declined while uric acid stones increased. On univariable analysis, lower eGFR was associated with lower urine pH, calcium, citrate, uric acid, magnesium, phosphorus, and ammonium. On multivariable analysis, controlling for age, sex, ethnicity, BMI, comorbidities, and stone type, these factors remained significant. Stone formers with lower eGFR had elevated supersaturation for uric acid, but reduced supersaturations for calcium-containing stones. Though urine oxalate was significant on univariable analysis, it was not on multivariable analysis. Discussion/Conclusion: Changes in urine parameters are strongly correlated with eGFR regardless of stone type. Renal function may play a key role in modulating kidney stone risk factors. Strategies to mitigate stone risk may need to vary with kidney function, especially when patient urine or stone composition data is unavailable.
DOI: 10.5281/zenodo.8262599
title: Microplasma emission spectroscopy of stable isotope ratios in carbon dioxide

description: Work material related to the published article.
DOI: 10.5281/zenodo.8262598
title: Microplasma emission spectroscopy of stable isotope ratios in carbon dioxide

description: Work material related to the published article.
DOI: 10.5281/zenodo.7598567
title: WISCO occupations_ISCO08_5dgt_55languages_4000titles_with_mapping_surveycodings_20230425

description: Occupation is a key variable in socio-economic research, used in a wide variety of studies, but its measurement is a major challenge. The national stocks of job titles are large with 10,000’s of job titles, they are unstructured with vague boundaries between job titles, and the stock has no fixed list but instead many entries and exits over time. Measuring occupations in a multi-country survey is even a larger challenge, because occupations with the same tasks have to be coded similarly across countries. Most surveys use an open-ended survey question to measure occupations. The challenge relates to time-consuming and expensive office-coding. Alternatively, web surveys and CAPI surveys allow using a look-up database with occupational titles. The Surveycodings team and WageIndicator Foundation provide a multilingual database of coded and translated occupational titles that allow for urvey respondents' self-identification of their occupational titles, thereby tackling the challenge for multi-country surveys to classify job titles into ISCO-08 classification of occupations and to do so consistently across countries. The database is gradually extended with more occupational titles and more languages. The current version, as of 20230202, holds 55 languages for at most 4,000 titles, though some languages have only half of the titles translated, among others because the occupations do not exist in the country at stake or because no translations were aavailable. Details about this and related databases as well as related publications can be found at https://www.surveycodings.org/articles/codings/occupation.
description: UPDATE 20230425: translations for Myanmar, Bulgaria and Sri Lanka have been checked and improved
DOI: 10.5281/zenodo.7598568
title: WISCO_Occupations_ISCO08_5dgt_55languages_with_mapping_20230202

description: Occupation is a key variable in socio-economic research, used in a wide variety of studies, but its measurement is a major challenge. The national stocks of job titles are large with 10,000’s of job titles, they are unstructured with vague boundaries between job titles, and the stock has no fixed list but instead many entries and exits over time. Measuring occupations in a multi-country survey is even a larger challenge, because occupations with the same tasks have to be coded similarly across countries. Most surveys use an open-ended survey question to measure occupations. The challenge relates to time-consuming and expensive office-coding. Alternatively, web surveys and CAPI surveys allow using a look-up database with occupational titles. The Surveycodings team and WageIndicator Foundation provide a multilingual database of coded and translated occupational titles that allow for urvey respondents' self-identification of their occupational titles, thereby tackling the challenge for multi-country surveys to classify job titles into ISCO-08 classification of occupations and to do so consistently across countries. The database is gradually extended with more occupational titles and more languages. The current version, as of 20230202, holds 55 languages for at most 4,000 titles, though some languages have only half of the titles translated, among others because the occupations do not exist in the country at stake or because no translations were aavailable. Details about this and related databases as well as related publications can be found at https://www.surveycodings.org/articles/codings/occupation.
DOI: 10.5281/zenodo.7775374
title: WISCO_Occupations_ISCO08_5dgt_55languages_with_mapping_20230202

description: Occupation is a key variable in socio-economic research, used in a wide variety of studies, but its measurement is a major challenge. The national stocks of job titles are large with 10,000’s of job titles, they are unstructured with vague boundaries between job titles, and the stock has no fixed list but instead many entries and exits over time. Measuring occupations in a multi-country survey is even a larger challenge, because occupations with the same tasks have to be coded similarly across countries. Most surveys use an open-ended survey question to measure occupations. The challenge relates to time-consuming and expensive office-coding. Alternatively, web surveys and CAPI surveys allow using a look-up database with occupational titles. The Surveycodings team and WageIndicator Foundation provide a multilingual database of coded and translated occupational titles that allow for urvey respondents' self-identification of their occupational titles, thereby tackling the challenge for multi-country surveys to classify job titles into ISCO-08 classification of occupations and to do so consistently across countries. The database is gradually extended with more occupational titles and more languages. The current version, as of 20230202, holds 55 languages for at most 4,000 titles, though some languages have only half of the titles translated, among others because the occupations do not exist in the country at stake or because no translations were aavailable. Details about this and related databases as well as related publications can be found at https://www.surveycodings.org/articles/codings/occupation.
description: UPDATE 20230327: Italian job titles (it_IT) have been improved & male/female versions included
DOI: 10.5281/zenodo.7871194
title: WISCO occupations_ISCO08_5dgt_55languages_4000titles_with_mapping_surveycodings_20230425

description: Occupation is a key variable in socio-economic research, used in a wide variety of studies, but its measurement is a major challenge. The national stocks of job titles are large with 10,000’s of job titles, they are unstructured with vague boundaries between job titles, and the stock has no fixed list but instead many entries and exits over time. Measuring occupations in a multi-country survey is even a larger challenge, because occupations with the same tasks have to be coded similarly across countries. Most surveys use an open-ended survey question to measure occupations. The challenge relates to time-consuming and expensive office-coding. Alternatively, web surveys and CAPI surveys allow using a look-up database with occupational titles. The Surveycodings team and WageIndicator Foundation provide a multilingual database of coded and translated occupational titles that allow for urvey respondents' self-identification of their occupational titles, thereby tackling the challenge for multi-country surveys to classify job titles into ISCO-08 classification of occupations and to do so consistently across countries. The database is gradually extended with more occupational titles and more languages. The current version, as of 20230202, holds 55 languages for at most 4,000 titles, though some languages have only half of the titles translated, among others because the occupations do not exist in the country at stake or because no translations were aavailable. Details about this and related databases as well as related publications can be found at https://www.surveycodings.org/articles/codings/occupation.
description: UPDATE 20230425: translations for Myanmar, Bulgaria and Sri Lanka have been checked and improved
DOI: 10.5281/zenodo.8262593
title: WISCO occupations_ISCO08_5dgt_55languages_4000titles_with_mapping_surveycodings_20230425

description: Occupation is a key variable in socio-economic research, used in a wide variety of studies, but its measurement is a major challenge. The national stocks of job titles are large with 10,000’s of job titles, they are unstructured with vague boundaries between job titles, and the stock has no fixed list but instead many entries and exits over time. Measuring occupations in a multi-country survey is even a larger challenge, because occupations with the same tasks have to be coded similarly across countries. Most surveys use an open-ended survey question to measure occupations. The challenge relates to time-consuming and expensive office-coding. Alternatively, web surveys and CAPI surveys allow using a look-up database with occupational titles. The Surveycodings team and WageIndicator Foundation provide a multilingual database of coded and translated occupational titles that allow for urvey respondents' self-identification of their occupational titles, thereby tackling the challenge for multi-country surveys to classify job titles into ISCO-08 classification of occupations and to do so consistently across countries. The database is gradually extended with more occupational titles and more languages. The current version, as of 20230202, holds 55 languages for at most 4,000 titles, though some languages have only half of the titles translated, among others because the occupations do not exist in the country at stake or because no translations were aavailable. Details about this and related databases as well as related publications can be found at https://www.surveycodings.org/articles/codings/occupation.
description: UPDATE 20230425: translations for Myanmar, Bulgaria and Sri Lanka have been checked and improved
DOI: 10.6084/m9.figshare.23987859
title: Supplement B: Questionnaire.pdf

description: Questionnaire (including the names of the thirteen university Facebook groups and links to <i>Google Forms</i>, <i>CliffsNotes</i>, and <i>WritersDigest</i>) for article "The Grading Process in System 1 and System 2 of Thinking: A Behavioral Economic Approach to Evaluation"
DOI: 10.6084/m9.figshare.23987859.v1
title: Supplement B: Questionnaire.pdf

description: Questionnaire (including the names of the thirteen university Facebook groups and links to <i>Google Forms</i>, <i>CliffsNotes</i>, and <i>WritersDigest</i>) for article "The Grading Process in System 1 and System 2 of Thinking: A Behavioral Economic Approach to Evaluation"
DOI: 10.5281/zenodo.8174550
title: The need to develop tailored tools for improving the quality of thematic bibliometric analyses: Evidence from papers published in Sustainability and Scientometrics (Dataset)

description: This dataset contains the data used to completed the article under peer review: References:<br> Cabezas, A.; Milanés, Y.;Alba, R.; Delgado, A.M. (2023). The need to develop tailored tools for improving the quality of thematic bibliometric analyses: Evidence from papers published in Sustainability and Scientometrics. (Article under peer review) Institutions: Spain (Universidad Internacional de La Rioja, Universidad Pablo de Olavide, Hospital Universitario Virgen de las Nieves)
DOI: 10.5281/zenodo.8174549
title: The need to develop tailored tools for improving the quality of thematic bibliometric analyses: Evidence from papers published in Sustainability and Scientometrics (Dataset)

description: This dataset contains the data used to completed the article under peer review: References:<br> Cabezas, A.; Milanés, Y.;Alba, R.; Delgado, A.M. (2023). The need to develop tailored tools for improving the quality of thematic bibliometric analyses: Evidence from papers published in Sustainability and Scientometrics. (Article under peer review) Institutions: Spain (Universidad Internacional de La Rioja, Universidad Pablo de Olavide, Hospital Universitario Virgen de las Nieves)
DOI: 10.5281/zenodo.8262602
title: The need to develop tailored tools for improving the quality of thematic bibliometric analyses: Evidence from papers published in Sustainability and Scientometrics (Dataset)

description: This dataset contains the data used to completed the article under peer review: References:<br> Cabezas, A.; Milanés, Y.;Alba, R.; Delgado, A.M. (2023). The need to develop tailored tools for improving the quality of thematic bibliometric analyses: Evidence from papers published in Sustainability and Scientometrics. (Article under peer review) Institutions: Spain (Universidad Internacional de La Rioja, Universidad Pablo de Olavide, Hospital Universitario Virgen de las Nieves)
DOI: 10.15152/qdb.258
title: Data for: Pesticide effect on earthworm lethality via interpretable machine learning. QsarDB repository, QDB.

description: This QDB archive contains data and model(s) from the following publication: Kotli, M.; Piir, G.; Maran, U. Pesticide effect on earthworm lethality via interpretable machine learning. Journal of Hazardous Materials
DOI: 10.5281/zenodo.8260742
title: Scripts and datas for "Global Estimation of the Eddy Kinetic Energy Dissipation from a Diagnostic Energy Balance"

description: Input and output datasets used for a global reconstruction of the eddy kinetic energy (EKE) dissipation rate in relation to a submitted work : <strong>R. Torres, R. Waldman, J. Mak and R. Séférian </strong>: <em>Global Estimation of the Eddy Kinetic Energy Dissipation from a Diagnostic Energy Balance</em>. Inputs datas include a merge of 2 datasets from the World Ocean Atlas 2018 (WOA18, Garcia et al., 2019) and cover the 1995-2017 (95B7) period. Folder structure for the surface altimetry L4 datasets from the EU-Copernicus Marine Services (2021) is kept empty in order to limit the archive size. Datas can be download here. Optional datasets include CMEMS MDT product (<em>CMEMS/SEALEVEL_GLO_PHY_MDT_008_063/P20Y</em>) downloaded here and ocean masks (<em>misc/basins/doi_10.5281</em>) from Martinez-Moreno et al. (2021). In addition, simulation outputs from the NEMO-OMIP2 model runned with the GEOMETRIC parameterization are processed (mainly time-averaged) and stored in <em>CNRM/runs/omip2_LR.Geom_Emin0-alpha01_1cyc-trd/post</em>. These files are used in the uncertainties and errors quantification. Outputs and published results are stored in each individual product post-processing folder while final EKE dissipation computation are located in the <em>EKE_dissipation_rate</em> folder since it results from a combination of multiple products. IPython notebooks for computing and plotting global maps are also provided : <em>1-post_process_climato.ipynb</em> : compute from the climatology (e.g. WOA18 datas) the EKE dissipation timescales (units in days) and the surface modes with rough topography (LaCasce and Groeskamp, 2020). <em>2-post_process_altimetry.ipynb</em> : compute from altimetry (CMEMS) datasets the EKE at surface and eventually coarsen the grid from 0.25 to 1 degree in order to match the climatology grid. <em>3-compute_global_eke_dissipation.ipynb</em> : combine both outputs from the two above scripts to compute the global EKE dissipation. The script also plots new maps. <em>0-plot_global_maps.ipynb</em> : plot the global maps for climatology and altimetry products. <em>0-plot_lbekedis_ogcm.ipynb</em> : plot and analyse EKE timescale errors from the NEMO-OMIP2 simulation outputs. Note however that these scripts use the author python library XOCE availbale on GitHub: https://github.com/torresr-cnrm/xoce. All the scripts have been runned using the version 0.2 of XOCE. Feel free to contact (romain.torres@meteo.fr) for any help in installing and using this library.