cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.2908/ten00132
title: Gross value added (GVA) in the EU environmental economy by environmental protection and resource management activities
title: Valeur ajoutée brute dans l'économie de l'environnement de l'UE par les activités de protection de l'environnement et de gestion des ressources
title: Bruttowertschöpfung in der Umweltwirtschaft, EU-weit nach Maßnahmen für Umweltschutz und Ressourcenmanagement

description: Diese Tabelle präsentiert Daten zur Bruttowertschöpfung der Umweltwirtschaft in der Europäischen Union, gemessen in Millionen EUR und untergliedert nach Maßnahmen für Umweltschutz und Ressourcenmanagement. Die Umweltwirtschaft umfasst alle wirtschaftlichen Aktivitäten, die sich dem Umweltschutz und der nachhaltigen Nutzung von natürlichen Ressourcen widmen.
description: This table presents gross value added in the European Union’s (EU’s) environmental economy, as it is defined in the European environmental goods and services sector (EGSS) accounts. The environmental economy encompasses activities and products that serve either of two purposes: ‘environmental protection’ — that is, preventing, reducing and eliminating pollution or any other degradation of the environment, or ‘resource management’ — that is, preserving and maintaining the stock of natural resources, hence safeguarding it against depletion.
description: Ce tableau présente la valeur ajoutée brute dans l'économie environnementale de l'Union européenne mesurées en millions d'euros et ventilées par mesures de protection de l'environnement et de gestion des ressources. L'économie environnementale comprend toutes les activités économiques dédiées à la protection de l'environnement et à l'utilisation durable des ressources naturelles.
DOI: 10.2908/ten00133
title: Employment in the EU environmental economy by NACE Rev. 2 activity
title: Emploi dans l'économie environnementale de l’UE par activité de la NACE Rév. 2
title: Beschäftigung in der Umweltwirtschaft, EU-weit nach NACE Rev. 2 Tätigkeit

description: Diese Tabelle präsentiert Daten zur Beschäftigung in der Umweltwirtschaft der Europäischen Union, gemessen in Vollzeit-Äquivalenten und untergliedert nach Wirtschaftszweigen (NACE Rev. 2 Systematik). Die Umweltwirtschaft umfasst alle wirtschaftlichen Aktivitäten, die sich dem Umweltschutz und der nachhaltigen Nutzung von natürlichen Ressourcen widmen.
description: This table presents employment in the European Union’s (EU’s) environmental economy, as it is defined in the European environmental goods and services sector (EGSS) accounts. The environmental economy encompasses activities and products that serve either of two purposes: ‘environmental protection’ — that is, preventing, reducing and eliminating pollution or any other degradation of the environment, or ‘resource management’ — that is, preserving and maintaining the stock of natural resources, hence safeguarding it against depletion.
description: Ce tableau présente l'emploi dans l'économie environnementale de l'Union européenne mesurées en équivalents temps plein et ventilées par les secteurs économiques (NACE Rév. 2). L'économie environnementale comprend toutes les activités économiques dédiées à la protection de l'environnement et à l'utilisation durable des ressources naturelles.
DOI: 10.2908/ten00134
title: Gross value added (GVA) in the EU environmental economy by NACE Rev. 2 activity
title: Valeur ajoutée brute dans l'économie de l'environnement de l'UE par activité de la NACE Rév. 2
title: Bruttowertschöpfung in der Umweltwirtschaft, EU-weit nach NACE Rev. 2 Tätigkeit

description: Diese Tabelle präsentiert Daten zur Bruttowertschöpfung der Umweltwirtschaft in der Europäischen Union, gemessen in Millionen EUR und untergliedert nach Wirtschaftszweigen (NACE Rev. 2 Systematik). Die Umweltwirtschaft umfasst alle wirtschaftlichen Aktivitäten, die sich dem Umweltschutz und der nachhaltigen Nutzung von natürlichen Ressourcen widmen.
description: This table presents gross value added in the European Union’s (EU’s) environmental economy, as it is defined in the European environmental goods and services sector (EGSS) accounts. The environmental economy encompasses activities and products that serve either of two purposes: ‘environmental protection’ — that is, preventing, reducing and eliminating pollution or any other degradation, of the environment or ‘resource management’ — that is, preserving and maintaining the stock of natural resources, hence safeguarding it against depletion.
description: Ce tableau présente la valeur ajoutée brute dans l'économie environnementale de l'Union européenne mesurées en millions d'euros et ventilées par les secteurs économiques (NACE Rév. 2). L'économie environnementale comprend toutes les activités économiques dédiées à la protection de l'environnement et à l'utilisation durable des ressources naturelles.
DOI: 10.5281/zenodo.6463874
title: Modeling islet enhancers using deep learning identifies candidate causal variants at loci associated with T2D and glycemic traits

description: Genetic association studies have identified hundreds of independent genetic signals associated with type 2 diabetes (T2D) and related traits. Despite these successes, the identification of specific causal variants underlying a genetic association signal remains challenging. In this study, we describe a deep learning method to analyze the impact of sequence variants on enhancers. Focusing on pancreatic islets, a relevant T2D tissue, we show that our model learns islet-specific transcription factor (TF) regulatory patterns and can be used to prioritize candidate causal variants. At 101 genetic signals associated with T2D and related glycemic traits where multiple variants occur in linkage disequilibrium, our method nominates a single causal variant for each association signal, including three variants previously shown to alter reporter activity in islet-relevant cell types. For another signal associated with blood glucose levels, we biochemically test all candidate causal variants from statistical fine-mapping using a pancreatic islet beta cell line and show biochemical evidence of allelic effects on TF binding for the model-prioritized variant. To aid in future research, we publicly distribute our model and islet enhancer perturbation scores across ~67 million variants. We anticipate that deep learning methods like the one presented in this study will enhance the prioritization of candidate causal variants for functional studies.
DOI: 10.5281/zenodo.6463875
title: Modeling islet enhancers using deep learning identifies candidate causal variants at loci associated with T2D and glycemic traits

description: Genetic association studies have identified hundreds of independent genetic signals associated with type 2 diabetes (T2D) and related traits. Despite these successes, the identification of specific causal variants underlying a genetic association signal remains challenging. In this study, we describe a deep learning method to analyze the impact of sequence variants on enhancers. Focusing on pancreatic islets, a relevant T2D tissue, we show that our model learns islet-specific transcription factor (TF) regulatory patterns and can be used to prioritize candidate causal variants. At 101 genetic signals associated with T2D and related glycemic traits where multiple variants occur in linkage disequilibrium, our method nominates a single causal variant for each association signal, including three variants previously shown to alter reporter activity in islet-relevant cell types. For another signal associated with blood glucose levels, we biochemically test all candidate causal variants from statistical fine-mapping using a pancreatic islet beta cell line and show biochemical evidence of allelic effects on TF binding for the model-prioritized variant. To aid in future research, we publicly distribute our model and islet enhancer perturbation scores across ~67 million variants. We anticipate that deep learning methods like the one presented in this study will enhance the prioritization of candidate causal variants for functional studies.
DOI: 10.5281/zenodo.8161621
title: Modeling islet enhancers using deep learning identifies candidate causal variants at loci associated with T2D and glycemic traits

description: Genetic association studies have identified hundreds of independent genetic signals associated with type 2 diabetes (T2D) and related traits. Despite these successes, the identification of specific causal variants underlying a genetic association signal remains challenging. In this study, we describe a deep learning method to analyze the impact of sequence variants on enhancers. Focusing on pancreatic islets, a relevant T2D tissue, we show that our model learns islet-specific transcription factor (TF) regulatory patterns and can be used to prioritize candidate causal variants. At 101 genetic signals associated with T2D and related glycemic traits where multiple variants occur in linkage disequilibrium, our method nominates a single causal variant for each association signal, including three variants previously shown to alter reporter activity in islet-relevant cell types. For another signal associated with blood glucose levels, we biochemically test all candidate causal variants from statistical fine-mapping using a pancreatic islet beta cell line and show biochemical evidence of allelic effects on TF binding for the model-prioritized variant. To aid in future research, we publicly distribute our model and islet enhancer perturbation scores across ~67 million variants. We anticipate that deep learning methods like the one presented in this study will enhance the prioritization of candidate causal variants for functional studies.
DOI: 10.6084/m9.figshare.21087027
title: Balancing-sequencing paced assembly lines: a multi-objective mixed-integer linear case study

description: This paper considers the optimisation of Mixed-model assembly lines with continuous paced line control. The two minimisation goals have a mixed-integer linear multi-objective dispute. The paper proposes a criterion-space method to define the Pareto front for this class of problems. The method combines Pareto fronts obtained from integer solutions and gradually refines them until the instance's global front is determined. Comparing paced to unpaced line controls can be challenging, since they can produce the same cycle time given sufficiently long line lengths or buffers. Hence, determining Pareto fronts between cycle time and line length for paced lines allows meaningful comparisons between line controls. An industrial case study shows that line length acts as continuously distributable buffers for paced lines, leading to weaker diminishing returns. This result suggests that paced lines are more efficient than unpaced ones for lower cycle time ranges.
DOI: 10.6084/m9.figshare.21087027.v1
title: Balancing-sequencing paced assembly lines: a multi-objective mixed-integer linear case study

description: This paper considers the optimisation of Mixed-model assembly lines with continuous paced line control. The two minimisation goals have a mixed-integer linear multi-objective dispute. The paper proposes a criterion-space method to define the Pareto front for this class of problems. The method combines Pareto fronts obtained from integer solutions and gradually refines them until the instance's global front is determined. Comparing paced to unpaced line controls can be challenging, since they can produce the same cycle time given sufficiently long line lengths or buffers. Hence, determining Pareto fronts between cycle time and line length for paced lines allows meaningful comparisons between line controls. An industrial case study shows that line length acts as continuously distributable buffers for paced lines, leading to weaker diminishing returns. This result suggests that paced lines are more efficient than unpaced ones for lower cycle time ranges.
DOI: 10.6084/m9.figshare.23710101
title: Supplementary Files: Carbon Calculator for remote Care (CCrC).xlsx

description: Based on the available evidence, we developed the Carbon Calculator for remote Care (CCrC), which allows users to calculate CO2 impact of remote care transitions in their own clinical setting (Supplementary File 2). The calculation requires user inputs of number of patients, number of visits per patient, proportion of visits conducted remotely, proportion of travel by car, the geographical region, and mean or median distance to clinic site. The output considers a correction factor for LCA.
DOI: 10.6084/m9.figshare.23710098
title: converted_merged-2023-04-30.zip

description: The resulting ttl files of the merging and conversion process
DOI: 10.6084/m9.figshare.23710098.v1
title: converted_merged-2023-04-30.zip

description: The resulting ttl files of the merging and conversion process
DOI: 10.5281/zenodo.8164544
title: TVJ_aufnahmen

description: Seedling abundance of silver fir and norway spruce seedlings in a semi-dry region in southern germany including data for stand structure, light-availability and soil traits
DOI: 10.6084/m9.figshare.23691747
title: RPE stats file.sav

description: <strong>Purpose:</strong> The number of overweight or obese adults in the United States continues to increase. Many diseases are linked to obesity; consequently, there is great need for research to improve prevention and treatment of this condition. The purpose of this study was to compare OMNI ratings of perceived exertion (OMNI-RPE) among normal weight versus obese individuals across stages of an incremental aerobic fitness test. Secondary purposes included determining differences between groups for OMNI-muscle hurt (pain), heart rate (HR) and oxygen consumption (VO2). <strong>Methods:</strong> Women 28.52(9.69) years of age of normal weight (BMI &lt; 25 kg/m2; <em>n </em>= 17) and obese status (BMI ≥ 30 kg/m2; <em>n </em>= 12) completed two days of testing, including a modified Balke treadmill test. A 2 x 3 mixed model ANOVA (group x stage) was used to detect differences between normal weight and obese groups across all variables. <strong>Results:</strong> The obese group reported higher OMNI-RPE (<em>p</em> =.002), higher HR (<em>p</em> = 0.003) and significantly lower VO2 (<em>p</em> =.027) than the normal weight group for all stages of the Modified Balke. No group x stage interactions were found for any variables with the exception of muscle pain (<em>p</em> &lt; .004), which was higher for the obese group at higher test stages than the normal weight group. <strong>Conclusion:</strong> OMNI-RPE, pain, HR, and VO2 data suggest that obese women have different physiological and perceptual responses than normal weight women at the same aerobic exercise intensity. Obese women perceive exercise as harder and more painful than normal weight women during an incremental treadmill test, which suggests the need for modified exercise recommendations for obese women.
DOI: 10.5281/zenodo.8164626
title: Materials for the "Unsupervised classification (clustering) of satellite images" workshop

description: Dataset for the "<strong>Unsupervised classification (clustering) of satellite images</strong>" workshop on OpenGeoHub Summer School 2023. The repository with the code can be found on GitHub: https://github.com/kadyb/OGH2023. In the .zip archive there are two catalogs: "<em>data</em>" and "<em>task</em>", which include: Landsat 8 scene (7 spectral bands) + metadata; polygons with coverage of Poznań and Szamotuły counties. The satellite data was downloaded from EarthExplorer.
description: {"references": ["https://doi.org/10.5066/P9OGBGM6"]}
DOI: 10.5281/zenodo.8164625
title: Materials for the "Unsupervised classification (clustering) of satellite images" workshop

description: Dataset for the "<strong>Unsupervised classification (clustering) of satellite images</strong>" workshop on OpenGeoHub Summer School 2023. The repository with the code can be found on GitHub: https://github.com/kadyb/OGH2023. In the .zip archive there are two catalogs: "<em>data</em>" and "<em>task</em>", which include: Landsat 8 scene (7 spectral bands) + metadata; polygons with coverage of Poznań and Szamotuły counties. The satellite data was downloaded from EarthExplorer.
description: {"references": ["https://doi.org/10.5066/P9OGBGM6"]}
DOI: 10.6084/m9.figshare.23710230
title: Matlab File.rar

description: This file contents Matlab code for controlling the automatic voltage regulator by fractonal order PID controller based on marine predators algorithm.
DOI: 10.34740/kaggle/dsv/6161999
title: Mahanagar Yatayat Dataset
DOI: 10.6084/m9.figshare.23705871.v1
title: MiniPDB

description: MiniPDB reference draws for PosteriorDB Stan programs.
DOI: 10.5281/zenodo.8164655
title: Evaluation of selected serum biomarkers levels in response to infliximab reference product (Remicade®) versus it's biosimilar (Remsima®) in a sample of ulcerative colitis patients: a cross-sectional study

description: <strong>Evaluation of selected serum biomarkers levels in response to infliximab reference product (Remicade</strong><sup>®</sup><strong>) versus it's biosimilar (Remsima</strong><sup>®</sup><strong>) in a sample of ulcerative colitis patients: a cross-sectional study</strong>
DOI: 10.5281/zenodo.8164654
title: Evaluation of selected serum biomarkers levels in response to infliximab reference product (Remicade®) versus it's biosimilar (Remsima®) in a sample of ulcerative colitis patients: a cross-sectional study

description: <strong>Evaluation of selected serum biomarkers levels in response to infliximab reference product (Remicade</strong><sup>®</sup><strong>) versus it's biosimilar (Remsima</strong><sup>®</sup><strong>) in a sample of ulcerative colitis patients: a cross-sectional study</strong>
DOI: 10.6084/m9.figshare.23710023
title: Uptake of diabetic retinopathy screening in Thyolo, Malawi

description: The data set is of patients that were attending diabetes eye screening clinic at a rural district hospital in Malawi. The variables are as follows i. Age in years ii. Sex :1=Male 0=Female iii. Level of education : Ophthalmology: 1= Primary school 2= Secondary school 3= Post secondary education 4= No formal education iv. Duration of diabetes in years v. Type of diabetes: 1=Type 1 2= Type 2 vi. History of hypertension 1= Hypertension 0= No hypertension vii. HIV status 1= Reactive 2= Non-reactive 3= Unknown viii. Clinic attendance frequency in months ix. Awareness availability of DR screening 1= Aware 0=Not aware x. Uptake of DR screening (history of dilated eye exam for DR screening in the past year) 1= Yes 0=No xi. History of referral for DR screening by clinician in Diabetes Clinic not referred reffered xii. Visual acuity of patients according to WHO classification 1= Normal vision 2= Visual impairement 3= Severe visual impairement 4=Blindness
DOI: 10.6084/m9.figshare.23710023.v1
title: Uptake of diabetic retinopathy screening in Thyolo, Malawi

description: The data set is of patients that were attending diabetes eye screening clinic at a rural district hospital in Malawi. The variables are as follows i. Age in years ii. Sex :1=Male 0=Female iii. Level of education : Ophthalmology: 1= Primary school 2= Secondary school 3= Post secondary education 4= No formal education iv. Duration of diabetes in years v. Type of diabetes: 1=Type 1 2= Type 2 vi. History of hypertension 1= Hypertension 0= No hypertension vii. HIV status 1= Reactive 2= Non-reactive 3= Unknown viii. Clinic attendance frequency in months ix. Awareness availability of DR screening 1= Aware 0=Not aware x. Uptake of DR screening (history of dilated eye exam for DR screening in the past year) 1= Yes 0=No xi. History of referral for DR screening by clinician in Diabetes Clinic not referred reffered xii. Visual acuity of patients according to WHO classification 1= Normal vision 2= Visual impairement 3= Severe visual impairement 4=Blindness
DOI: 10.5519/qd.s5dzsi0t
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.8136896
title: Global River Discharge Reanalysis dataset (GRDR)

description: This repository contains the Global River Discharge Reanalysis dataset (GRDR) generated from a work that is currently under review. GRDR is a global river discharge product that assimilated remotely sensed river discharge and hydrologic model simulations. It contains daily flows in ~2.9 million vectorized river reaches for 1984-2018. The data format is netCDF.
DOI: 10.5281/zenodo.8136895
title: Global River Discharge Reanalysis dataset (GRDR)

description: This repository contains the Global River Discharge Reanalysis dataset (GRDR) generated from a work that is currently under review. GRDR is a global river discharge product that assimilated remotely sensed river discharge and hydrologic model simulations. It contains daily flows in ~2.9 million vectorized river reaches for 1984-2018. The data format is netCDF.
DOI: 10.5281/zenodo.8164659
title: Quantum Chemical Calculations for the Reaction of Methoxide with OTP and CL

description: DFT calculations at the BP/def2-TZVPD level are executed with Turbomole 7.3 and COSMO-RS calculations with COSMOtherm 19.0.4. One folder is used for one molecule which take part in the following reactions.<br> Educt + Nu- -&gt; Intermediate -&gt; Product<br> Charged system:<br> CL + MeO- -&gt; 2a- -&gt; 3a-<br> OTP + MeO- -&gt; 2b- -&gt; 3b-<br> Neutral system:<br> CL + MeOH -&gt; 2aH -&gt; 3aH<br> OTP + MeOH -&gt; 2bH -&gt; 3bH Folderstructure:<br> opt: Geometric structure optimization with PBEh-3c, frequency analysis<br> sp-vac: Electronic Structure of the vacuum state<br> sp-sol: Electronic Structure of the solute as ideal conductor<br> sp-cosmors: Calculation of solvation enthalpy Quantum Chemical Data Collection (QCDC) creates data.json<br> Further information can be found here:<br> https://github.com/lucasteiner/qcdc<br>
DOI: 10.5281/zenodo.8164658
title: Quantum Chemical Calculations for the Reaction of Methoxide with OTP and CL

description: DFT calculations at the BP/def2-TZVPD level are executed with Turbomole 7.3 and COSMO-RS calculations with COSMOtherm 19.0.4. One folder is used for one molecule which take part in the following reactions.<br> Educt + Nu- -&gt; Intermediate -&gt; Product<br> Charged system:<br> CL + MeO- -&gt; 2a- -&gt; 3a-<br> OTP + MeO- -&gt; 2b- -&gt; 3b-<br> Neutral system:<br> CL + MeOH -&gt; 2aH -&gt; 3aH<br> OTP + MeOH -&gt; 2bH -&gt; 3bH Folderstructure:<br> opt: Geometric structure optimization with PBEh-3c, frequency analysis<br> sp-vac: Electronic Structure of the vacuum state<br> sp-sol: Electronic Structure of the solute as ideal conductor<br> sp-cosmors: Calculation of solvation enthalpy Quantum Chemical Data Collection (QCDC) creates data.json<br> Further information can be found here:<br> https://github.com/lucasteiner/qcdc<br>
DOI: 10.25810/s7n-vh24.41
title: African Newspaper Coverage of Climate Change or Global Warming, 2004-2023 June 2023

description: The Media and Climate Change Observatory Data monitors 117 sources (across newspapers, radio and TV) in 55 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://sciencepolicy.colorado.edu/media_coverage.
DOI: 10.48328/tudatalib-1081.2
title: Supplementary material to "A comparison of mechanistic models for the combustion of iron microparticles and their application to polydisperse iron-air suspensions"

description: This supplemental material contains the processed secondary data which was used to generate the plots and graphics in our submission. From selected setups, additional raw data is provided.
DOI: 10.5281/zenodo.8164627
title: TVJ_aufnahmen

description: Seedling abundance of silver fir and norway spruce seedlings in a semi-dry region in southern germany including data for stand structure, light-availability and soil traits
DOI: 10.5281/zenodo.8164543
title: TVJ_aufnahmen

description: Seedling abundance of silver fir and norway spruce seedlings in a semi-dry region in southern germany including data for stand structure, light-availability and soil traits