cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24494824
title: 2.Spatial distribution of the relationship between vegetation growth and water availability across China over the past three decades

description: 2. Spatial distribution of the relationship between vegetation growth and water availability across China over the past three decades<i>a. Spatial distribution of the Spearman’s rank correlation coefficient (r-value) between the Normalized Difference Vegetation Index (NDVI)/Leaf Area Index (LAI)/Gross Primary Productivity (GPP) and the Palmer Drought Severity Index (PDSI) for the 1982–2015 period</i>This includes the Spearman’s rank correlation coefficient (<i>r</i>-value) of mean growing-season (e.g., <b>NDVI_PDSI_Spearman_R.tif</b>), maximum growing-season (e.g., <b>NDVI_Max_PDSI_Spearman_R.tif</b>), detrended mean growing-season(e.g., <b>dNDVI_PDSI_Spearman_R.tif</b>), and detrended maximum growing-season (e.g., <b>dNDVImax_PDSI_Spearman_R.tif</b>) NDVI/LAI/GPP values with PDSI for each grid cell over all over the globe. You can use the "<b>China_vegetation_cover_map.tif</b>" in the dataset "1.Spatiotemporal patterns of vegetation growth across China over the past three decades" to extract the part of China.<i>b.</i><i> </i><i>The MATLAB (R2023a) code for calculating </i><i>the </i><i>Spearman’s rank correlation coefficient between </i><i>NDVI/LAI/GPP </i><i>and P</i><i>DSI </i><i>for each </i><i>grid cell</i>This includes "<b>Correlation_Spearman.m</b>" for calculating the Spearman’s rank correlation coefficient (<i>r</i>-value) between NDVI/LAI/GPP and PDSI for each grid cell.
DOI: 10.6084/m9.figshare.24495130
title: 3.Spatiotemporal patterns of the relationship between vegetation growth and water availability across China over the past three decades

description: 3. Spatiotemporal patterns of the relationship between vegetation growth and water availability across China over the past three decades<i>a. Spatial distribution of the trends in the Spearman’s rank correlation coefficient (r-value) between the Normalized Difference Vegetation Index (NDVI)/Leaf Area Index (LAI)/Gross Primary Productivity (GPP) and Palmer Drought Severity Index (PDSI) for the 25 10-year moving windows over the 1982–2015 period</i>This includes the trends in Spearman’s rank correlation coefficient (r-value) between NDVI/LAI/GPP and PDSI for each grid cell over all over the globe (e.g., using mean growing-season NDVI value, "<b>NDVI_PDSI_10year_Spearman_R_Trend.tif</b>"). You can use the "<b>China_vegetation_cover_map.tif</b>" in the dataset "1.Spatiotemporal patterns of vegetation growth across China over the past three decades" to extract the part of China.<i>b. The MATLAB (R2023a) code for calculating the Spearman’s rank correlation coefficient between NDVI/LAI/GPP and PDSI for each grid cell for the 25 10-year moving windows</i>This includes "<b>Correlation_Spearman_10yr_moving_windows.m</b>" for calculating the Spearman’s rank correlation coefficient (r-value) between NDVI/LAI/GPP and PDSI for each grid cell for the 25 10-year moving windows. You can then use "<b>Theil-Sen estimator.m</b>" and "<b>Mann-Kendall test.m</b>" in the dataset "1.Spatiotemporal patterns of vegetation growth across China over the past three decades" to calculate the trends in the Spearman’s rank correlation coefficient between NDVI/LAI/GPP and PDSI (e.g., using mean growing-season NDVI value, "<b>NDVI_PDSI_10year_Spearman_R_Trend.tif</b>").
DOI: 10.5519/qd.m6ez0cat
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (354 records)
DOI: 10.6084/m9.figshare.24265327
title: Supplementary Material for: Blood pressure and Mortality in the 4D Study

description: Introduction: Systolic (SBP), diastolic (DBP) and mean arterial pressure (MAP) are risk factors for cardiovascular mortality (CVM). Pulse pressure (PP) is an easily available parameter of vascular stiffness, but its impact on CVM in chronic dialysis patients with diabetes is unclear. Methods: Therefore, we have examined the predictive value of baseline, predialytic PP, SBP, DBP and MAP in the German Diabetes and Dialysis (4D) study, a prospective, randomized, double-blind trial enrolling 1255 patients with type 2 diabetes on hemodialysis in 178 German dialysis centers. Results: Mean age was 66.3 years, mean blood pressure 146/76 mmHg, mean time suffering from diabetes 18.1 years and mean time on maintenance dialysis 8.3 months. Considered as continuous variables, PP, MAP, SBP and DBP could not provide a significant mortality prediction for either cardiovascular or all-cause mortality. After dividing the cohort into corresponding tertiles, we did also not detect any significant mortality prediction for PP, SBP, DBP or MAP, both for all-cause mortality and CVM after adjusting for age and sex. Nevertheless, when comparing the HR plots of the corresponding blood pressure parameters, a pronounced U-curve was seen for PP for both all-cause mortality and CVM, with the trough range being 70-80 mmHg. Discussion: In patients with end-stage renal disease and long-lasting diabetes mellitus predialytic blood pressure parameters at study entry are not predictive for mortality, presumably because there is a very high rate of competing mortality risk factors, resulting in overall very high rates of all-cause and cardiovascular mortality, that may no longer be significantly modulated by blood pressure control.
DOI: 10.6084/m9.figshare.24265327.v1
title: Supplementary Material for: Blood pressure and Mortality in the 4D Study

description: Introduction: Systolic (SBP), diastolic (DBP) and mean arterial pressure (MAP) are risk factors for cardiovascular mortality (CVM). Pulse pressure (PP) is an easily available parameter of vascular stiffness, but its impact on CVM in chronic dialysis patients with diabetes is unclear. Methods: Therefore, we have examined the predictive value of baseline, predialytic PP, SBP, DBP and MAP in the German Diabetes and Dialysis (4D) study, a prospective, randomized, double-blind trial enrolling 1255 patients with type 2 diabetes on hemodialysis in 178 German dialysis centers. Results: Mean age was 66.3 years, mean blood pressure 146/76 mmHg, mean time suffering from diabetes 18.1 years and mean time on maintenance dialysis 8.3 months. Considered as continuous variables, PP, MAP, SBP and DBP could not provide a significant mortality prediction for either cardiovascular or all-cause mortality. After dividing the cohort into corresponding tertiles, we did also not detect any significant mortality prediction for PP, SBP, DBP or MAP, both for all-cause mortality and CVM after adjusting for age and sex. Nevertheless, when comparing the HR plots of the corresponding blood pressure parameters, a pronounced U-curve was seen for PP for both all-cause mortality and CVM, with the trough range being 70-80 mmHg. Discussion: In patients with end-stage renal disease and long-lasting diabetes mellitus predialytic blood pressure parameters at study entry are not predictive for mortality, presumably because there is a very high rate of competing mortality risk factors, resulting in overall very high rates of all-cause and cardiovascular mortality, that may no longer be significantly modulated by blood pressure control.
DOI: 10.5281/zenodo.7974082
title: Effects of life stage on the sensitivity of Folsomia candida to four pesticides

description: This submission provides R-code and data files for our peer-reviewed work.
The R-notebook "Analysis_likelihood_ratio_test" contains the code used to estimate the parameters of concentration-response curves (EC10, EC50, LC10, LC50, and slopes) and perform likelihood ratio tests to compare curves from different tested life stages.
The R-notebook "Figures_Concentration_response_curves" showcases the code used to generate the figures presented in the manuscript.
The dataset files are provided in CSV format with Comma Separated Values:

Cyproconazole_FolsomiaCandida_10days_20days_RawData_New.csv
Imidacloprid_FolsomiaCandida_10days_20days_RawData_New.csv
Teflubenzuron_FolsomiaCandida_10days_20days_RawData_New.csv
Thiacloprid_FolsomiaCandida_10days_20days_RawData_New.csv
The submission includes the following:

R files: R notebooks described above.
CSV files: Count data of springtail juveniles and adults.
 
This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 859891.
This publication reflects only the authors' view and the European Commission is not responsible for any use that may be made of the information it contains.
DOI: 10.5281/zenodo.7974083
title: Effects of life stage on the sensitivity of Folsomia candida to four pesticides

description: This submission provides R-code and data files for our peer-reviewed work.
The R-notebook "Analysis_likelihood_ratio_test" contains the code used to estimate the parameters of concentration-response curves (EC10, EC50, LC10, LC50, and slopes) and perform likelihood ratio tests to compare curves from different tested life stages.
The R-notebook "Figures_Concentration_response_curves" showcases the code used to generate the figures presented in the manuscript.
The dataset files are provided in CSV format with Comma Separated Values:

Cyproconazole_FolsomiaCandida_10days_20days_RawData_New.csv
Imidacloprid_FolsomiaCandida_10days_20days_RawData_New.csv
Teflubenzuron_FolsomiaCandida_10days_20days_RawData_New.csv
Thiacloprid_FolsomiaCandida_10days_20days_RawData_New.csv
The submission includes the following:

R files: R notebooks described above.
CSV files: Count data of springtail juveniles and adults.
 
This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 859891.
This publication reflects only the authors' view and the European Commission is not responsible for any use that may be made of the information it contains.
DOI: 10.18712/nsd-nsd3137-v1
title: Travel Survey 2021 - 2nd quarter, person file

description: The Travel Survey (Travel and Holiday Survey until 2021) is a continuation of the Omnibus Survey conducted by Statistics Norway in the years 1992-2004. The Travel Survey is conducted four times a year, once every quarter. The main purpose of the survey is to map out the travel habits of Norwegians in Norway and abroad. In addition to data on Norwegians' travel habits, data is also collected on cross-border trade, attitudes towards aid, cultural monuments and cultural environments, use of tobacco and alcohol, wood burning, influenza vaccine, and attitudes towards immigration. Some topics are included every quarter, while others are included only once or twice a year.

For each quarter of 2021, a sample of 2,000 people aged 16 to 79 was drawn. This is the person file for the 1st quarter of the 2021 Travel Survey.
DOI: 10.18712/nsd-nsd3140-v1
title: Travel Survey 2021, 2nd Quarter, Travel File

description: The Travel Survey (Travel and Holiday Survey up until 2021) is a continuation of the Statistics Norway Omnibus Survey, which was conducted in the years 1992-2004.

The travel survey is conducted by Statistics Norway four times a year, once every quarter. The main purpose of the survey is to map the travel habits of Norwegians, in Norway and abroad. In addition to data on Norwegians' travel habits, data is also collected on cross-border trade, attitudes towards aid, cultural heritage and cultural environments, use of tobacco and alcohol, wood burning, influenza vaccine, and attitudes towards immigration. Some topics are included every quarter, while others are only included once or twice a year.

For each quarter in 2021, a sample of 2,000 people aged 16 to 79 years was drawn. This is the travel file for the second quarter of the Travel Survey 2021.
DOI: 10.5517/ccdc.csd.cc25p5sv
title: CCDC 2016357: Experimental Crystal Structure Determination

description: Related Article: Huang Wu, Yu Wang, Leighton O. Jones, Wenqi Liu, Bo Song, Yunpeng Cui, Kang Cai, Long Zhang, Dengke Shen, Xiao-Yang Chen, Yang Jiao, Charlotte L. Stern, Xiaopeng Li, George C. Schatz, J. Fraser Stoddart|2020|J.Am.Chem.Soc.|142|16849|doi:10.1021/jacs.0c07745
description: Related Article: Huang Wu, James Fraser, Stoddart, Yu Wang|2021|U.S.Patents|||
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.cc25p5tw
title: CCDC 2016358: Experimental Crystal Structure Determination

description: Related Article: Huang Wu, Yu Wang, Leighton O. Jones, Wenqi Liu, Bo Song, Yunpeng Cui, Kang Cai, Long Zhang, Dengke Shen, Xiao-Yang Chen, Yang Jiao, Charlotte L. Stern, Xiaopeng Li, George C. Schatz, J. Fraser Stoddart|2020|J.Am.Chem.Soc.|142|16849|doi:10.1021/jacs.0c07745
description: Related Article: Huang Wu, James Fraser, Stoddart, Yu Wang|2021|U.S.Patents|||
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/6873227
title: 2021 World Population (updated daily)
DOI: 10.34740/kaggle/dsv/6873230
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.6084/m9.figshare.24495574
title: Knowledge and practice of diagnostic reference levels, radiation protection and safety among dental professionals and dental undergraduate students in the United Arab Emirates: A multicentric study

description: Diagnostic reference levels
DOI: 10.25318/9810036301-eng
title: Language used most often at work by other language(s) used regularly at work, language spoken most often at home and place of work census division: Canada, provinces and territories and census divisions

description: Data on language used most often at work by other language(s) used regularly at work, language spoken most often at home and place of work census division for the population aged 15 years and over who worked since 2020, in private households of Canada, provinces and territories and census divisions.
DOI: 10.25318/9810036301-fra
title: Langue utilisée le plus souvent au travail selon les autres langues utilisées régulièrement au travail, la langue parlée le plus souvent à la maison et la division de recensement du lieu de travail : Canada, provinces et territoires et divisions de recensement

description: Données sur la langue utilisée le plus souvent au travail selon les autres langues utilisées régulièrement au travail, la langue parlée le plus souvent à la maison et la division de recensement du lieu de travail pour la population âgée de 15 ans et plus qui travaillait depuis 2020, dans les ménages privés au Canada, dans les provinces et territoires et les divisions du recensement.
DOI: 10.6084/m9.figshare.24434812
title: Indicators created for the MSF malaria risk study

description: This project encompasses all datasets generated throughout the MSF malaria case study. The entire workflow, from initial data access to the final results, is meticulously documented and openly shared on GitHub. Our scripts are extensively commented and explained line by line to enhance transparency and accessibility, enabling others to easily reuse and build upon our work.
DOI: 10.5522/04/24321142
title: Substorm Onsets and Phases (SOPHIE) 2010-2020, EPT 75

description: Outputs from the SOPHIE (Forsyth et al., 2015, 10.1002/2015JA021343) substorm onset and phase detection technique for SuperMAG data between 2010 and 2020 (inclusive). <br> This version has been updated in to include the MLT and MLAT of the SuperMAG station providing the SML data <br> This file provides the start times of growth/energy input, expansion and recovery phases determined by SOPHIE for an EPT of 75. <br> Data generated for "Extreme Birkeland currents are more likely during geomagnetic storms on the dayside of the Earth" by Coxon et al., submitted to J. Geophys. Res. <br> The data is presented in 5 columns: - The date and time of the first data point in the given phase (YYYY/MM/DD-HH:MM:SS) The phase number (1 for growth/energy input, 2 for expansion, 3 for recovery) A flag indicating that the rate of change of SMU is similar to that of SML in the expansion phase (0 for no flag, 1 for flag) MLT of the active SML station at the shown time MLAT of the active SML station at the shown time <br> The original SuperMAG indices can be downloaded from https://supermag.jhuapl.edu/
DOI: 10.5522/04/24449050
title: On the design of low phase noise and flat spectrum optical parametric frequency comb

description: The uploaded file is the dataset for our manuscirpt named: "On the design of low phase noise and flat spectrum optical parametric frequency comb ", which is accepted for publication in APL Photonics. <br> The data is generated through rigorous optical frequency comb generation experiment. The experimental set-up was built and tested in 2023. MATLAB is used to further process the captured data. The data uploaded is used to plot figures in the submitted manusciprt.
DOI: 10.5522/04/24449050.v1
title: On the design of low phase noise and flat spectrum optical parametric frequency comb

description: The uploaded file is the dataset for our manuscirpt named: "On the design of low phase noise and flat spectrum optical parametric frequency comb ", which is accepted for publication in APL Photonics. <br> The data is generated through rigorous optical frequency comb generation experiment. The experimental set-up was built and tested in 2023. MATLAB is used to further process the captured data. The data uploaded is used to plot figures in the submitted manusciprt.
DOI: 10.6084/m9.figshare.22010822
title: Macroinvertebrate functional trait database of South Korean stream. Version 1.2

description: Functional traits are the result of evolution and adaptation, providing important ecological insights into how organisms interact with their environment. Aquatic macroinvertebrates, in particular, have garnered attention as biomonitoring indicators for freshwater ecosystems. This study presents a functional trait database for benthic aquatic macroinvertebrates, comprising 440 genera from five phyla (Annelida, Arthropoda, Mollusca, Nematomorpha, and Platyhelmenthes), categorized into nine traits related to life history, morphology, and habit. To account for variation in available trait information, we assigned confidence levels to each taxon and functional trait based on the level of evidence using fuzzy coding. Our database provides a comprehensive resource for understanding the ecology of benthic macroinvertebrates, serving as a valuable baseline dataset for studying their biodiversity, conservation, and biomonitoring in freshwater ecosystems.
DOI: 10.6084/m9.figshare.22010822.v3
title: Macroinvertebrate functional trait database of South Korean stream. Version 1.1

description: Functional traits are the result of evolution and adaptation, providing important ecological insights into how organisms interact with their environment. Aquatic macroinvertebrates, in particular, have garnered attention as biomonitoring indicators for freshwater ecosystems. This study presents a functional trait database for benthic aquatic macroinvertebrates, comprising 440 genera from five phyla (Annelida, Arthropoda, Mollusca, Nematomorpha, and Platyhelmenthes), categorized into nine traits related to life history, morphology, and habit. To account for variation in available trait information, we assigned confidence levels to each taxon and functional trait based on the level of evidence using fuzzy coding. Our database provides a comprehensive resource for understanding the ecology of benthic macroinvertebrates, serving as a valuable baseline dataset for studying their biodiversity, conservation, and biomonitoring in freshwater ecosystems.
DOI: 10.25318/9810038901-eng
title: Major field of study (detailed, 4-digit) by highest level of education: Canada, provinces and territories, census divisions and census subdivisions with a population 5,000 or more

description: Details on major field of study for census divisions and large municipalities.
DOI: 10.25318/9810038901-fra
title: Principal domaine d’études (détaillé, code à quatre chiffres), selon le plus haut niveau de scolarité : Canada, provinces et territoires, divisions de recensement et subdivisions de recensement ayant une population de 5 000 habitants ou plus

description: Principaux domaines d’études détaillés pour les divisions de recensement et les grandes municipalités.
DOI: 10.18712/nsd-nsd3148-v2
title: Living conditions among children and youth with ADHD

description: On commission from ADHD Norway a study researching living conditions of young people and children with ADHD has been conducted, the study has a special focus on health, schooling, free-time and friendship - from the perspective of their parents.
DOI: 10.6084/m9.figshare.24495715
title: Opinions Data.xlsx

description: Data from questionnaires concerning British participants' perspectives on Eurocentric archaeological narratives.
DOI: 10.6084/m9.figshare.24495715.v1
title: Opinions Data.xlsx

description: Data from questionnaires concerning British participants' perspectives on Eurocentric archaeological narratives.
DOI: 10.6084/m9.figshare.24487831
title: Gene expression statistics

description: Gene expression statistics for de novo lipogenesis during prediapuse in Colorado potato beetle
DOI: 10.6084/m9.figshare.24487831.v1
title: Gene expression statistics

description: Gene expression statistics for de novo lipogenesis during prediapuse in Colorado potato beetle
DOI: 10.48366/r648364
title: Data analysis tasks in cargo transportation

description: What are the data analysis tasks in cargo transportation
DOI: 10.25318/9810039601-eng
title: Location of study compared with location of residence by highest level of education: Canada, provinces and territories, census divisions and census subdivisions

description: Overview of location of study (same as current province of residence, different province, or outside Canada) for census divisions and municipalities, with percent distribution.
DOI: 10.5281/zenodo.10069276
title: The Effect of Typing Efficiency and Suggestion Accuracy on Usage of Word Suggestions and Entry Speed

description: Data collected during our experiments investigating the effect of suggestion accuracy and typing efficiency on usage of word suggestions, and entry speed