cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4121/50989a7d-2452-4f66-b29a-5b485709328f.v1
title: Dataset of Particle Size Distribution of Fine Aggregate sourced from Goain River (Bangladesh) and Dawki River (India) as utilized in a Batch Mixing Plant

description: This data paper presents the Fine Aggregate (FA) Profile of an important river, the Goain in Bangladesh and the Dawki called in the part of India, which is a major source of natural FA for construction activities in Bangladesh. The FA Profiles were analyzed using sieve and Sand Equivalent (SE) Value of Soils and FA tests over a period of more than two years, with samples collected thrice a month from Jaflong, Sylhet, Bangladesh. The sampling method followed standard guidelines, and the sieve analysis test report satisfied size distribution requirements, despite some fluctuations in the test results. The primary focus of this data is to present the scenario of sand availability throughout the years, which will be valuable for researchers, engineers, policymakers, and stakeholders involved in planning and designing construction projects that involve river sand. This data paper provides a comprehensive dataset on the FA Profile of the Goain (Dawki) River, which can be reused in various ways, including developing predictive models, monitoring the effects of climate change, and identifying areas for sustainable sand extraction.<br>
DOI: 10.6084/m9.figshare.24081438.v32
title: lunar_surface_chemistry_maps

description: The data files depict the Mg# values and the abundances of SiO2, TiO2, Al2O3, FeO, MgO and CaO observed by the KAGUYA multiband imager. The data files are in the format of .tif and can be opend by the software ArcGIS.
DOI: 10.5281/zenodo.8320644
title: Data used in the GRL paper (2023GL106216) entitled "The Synergistic Nucleation of Iodous Acid and Sulfuric Acid: A Vital Mechanism in Polluted Marine Regions"

description: These are the output files of Gaussian 09 software for all the most stable clusters in the paper.
DOI: 10.5281/zenodo.8320643
title: Data used in the GRL paper (2023GL106216) entitled "The Synergistic Nucleation of Iodous Acid and Sulfuric Acid: A Vital Mechanism in Polluted Marine Regions"

description: These are the output files of Gaussian 09 software for all the most stable clusters in the paper.
DOI: 10.26182/6vs0-c719
title: A simple technique to assess resource use in dung beetle breeding studies - dataset
DOI: 10.26179/nxfs-8v75
title: Monitoring climate change induced desertification of Antarctica using stable isotopic signatures - species list
DOI: 10.26179/bvt2-rv22
title: An assessment of variability in the influx of cosmic dust during the Holocene and the potential effect on iron concentrations in the Southern Ocean.
DOI: 10.25345/c57p8tq2x
title: MassIVE MSV000092822 - 20230905 ReFRAME drug repurposing collection DDA spectra
title: DDA analysis of 14,000 drugs in the ReFRAME drug repurposing collection. Positive and negative ionizations.
DOI: 10.4121/05eb8979-53a6-4f3a-99e9-2f4dd3418095
title: Lean management, clean production, green supply chain practices, and green development performance data for traditional Chinese small and medium-sized manufacturing enterprises

description: The above data were collected from a sample of traditional small and medium-sized manufacturing enterprises in China. A questionnaire survey using a five-point Likert scale was conducted to study 333 such firms. In this survey, various dimensions were assessed: the Str deals with the adoption of lean strategy, the Org focuses on the management of lean organisational capital, the Pro examines lean manufacturing practices, the Cle analyses cleaner production behaviours, the Supply investigates green supply chain management practices, while the Eco and the Env assess economic and environmental performance respectively. It should be noted that higher scores indicate higher levels of utility.<br>上述数据是从中国传统中小型制造企业的样本中收集的。利用李克特五分制进行问卷调查，对333家此类企业进行了研究。在本次调查中，评估了各个维度：Str 涉及精益战略的采用，Org 专注于精益组织资本的管理，Pro 检查精益生产实践，Cle 分析清洁生产行为，供应调查绿色供应链管理实践，而 Eco 和 Env 分别评估经济和环境绩效。应该注意的是，分数越高表示效用水平越高。<br><br>
DOI: 10.4121/05eb8979-53a6-4f3a-99e9-2f4dd3418095.v1
title: Lean management, clean production, green supply chain practices, and green development performance data for traditional Chinese small and medium-sized manufacturing enterprises

description: The above data were collected from a sample of traditional small and medium-sized manufacturing enterprises in China. A questionnaire survey using a five-point Likert scale was conducted to study 333 such firms. In this survey, various dimensions were assessed: the Str deals with the adoption of lean strategy, the Org focuses on the management of lean organisational capital, the Pro examines lean manufacturing practices, the Cle analyses cleaner production behaviours, the Supply investigates green supply chain management practices, while the Eco and the Env assess economic and environmental performance respectively. It should be noted that higher scores indicate higher levels of utility.<br>上述数据是从中国传统中小型制造企业的样本中收集的。利用李克特五分制进行问卷调查，对333家此类企业进行了研究。在本次调查中，评估了各个维度：Str 涉及精益战略的采用，Org 专注于精益组织资本的管理，Pro 检查精益生产实践，Cle 分析清洁生产行为，供应调查绿色供应链管理实践，而 Eco 和 Env 分别评估经济和环境绩效。应该注意的是，分数越高表示效用水平越高。<br><br>
DOI: 10.6084/m9.figshare.24086970
title: Hoplobatrachus rugulosus's genome assembly and annotation

description: Hoplobatrachus rugulosus's genome assembly and annotation，Including Thai tiger frog and Chinese tiger frog。
DOI: 10.6084/m9.figshare.24086970.v1
title: Hoplobatrachus rugulosus's genome assembly and annotation

description: Hoplobatrachus rugulosus's genome assembly and annotation，Including Thai tiger frog and Chinese tiger frog。
DOI: 10.6084/m9.figshare.24087036
title: Data of land cover and land use change oof shade-grown coffee agroecosystem inCumbres de Huicicila, Nayarit, Mexico.

description: Area extension, net change, and rate of change (2007-2019) of land cover and land use in Cumbres de Huicicila. Data from the article "Effects of Land Cover and Land Use Change on Nature's Contributions to People of the Shade-Grown Coffee Agroecosystem: An Analysis of Cumbres de Huicicila, Nayarit, Mexico".
DOI: 10.6084/m9.figshare.21386430.v2
title: Data

description: Median and 90th percentile of temperature range and difference in biological rates for each temporal window (quarter-diurnal, semi-diurnal, diurnal, weekly, bi-weekly, monthly and annual) at each of the 490 locations in the ocean variability paper. Details about these 490 locations are also provided, such as time spans, coordinates, and depths.
DOI: 10.5281/zenodo.7984586
title: Antarctic Sedimentary Basin Distribution and Classification

description: This is the published version (v1.04) of the GIS package for Antarcitca's Sedimentary Basins Distribution and Classification. Supplement to: Aitken, A. R. A., Li, L., Kulessa, B., Schroeder, D., Jordan, T. A., Whittaker, J. M., et al. (2023). Antarctic sedimentary basins and their influence on ice-sheet dynamics. <em>Reviews of Geophysics</em>, 61, e2021RG000767. https://doi.org/10.1029/2021RG000767 With the release of the published version of the GIS package, future updates to the sedimentary basin mapping can be found at https://github.com/LL-Geo/AntarcticBasins, and at https://doi.org/10.5281/zenodo.7955525. You can download individual GeoTIFF, Shapefile, and GeoJSON files. The complete DistroPackage contains all files, including styles in QGIS and ArcGIS projects.
DOI: 10.5281/zenodo.7984585
title: Antarctic Sedimentary Basin Distribution and Classification

description: This is the published version (v1.04) of the GIS package for Antarcitca's Sedimentary Basins Distribution and Classification. Supplement to: Aitken, A. R. A., Li, L., Kulessa, B., Schroeder, D., Jordan, T. A., Whittaker, J. M., et al. (2023). Antarctic sedimentary basins and their influence on ice-sheet dynamics. <em>Reviews of Geophysics</em>, 61, e2021RG000767. https://doi.org/10.1029/2021RG000767 With the release of the published version of the GIS package, future updates to the sedimentary basin mapping can be found at https://github.com/LL-Geo/AntarcticBasins, and at https://doi.org/10.5281/zenodo.7955525. You can download individual GeoTIFF, Shapefile, and GeoJSON files. The complete DistroPackage contains all files, including styles in QGIS and ArcGIS projects.
DOI: 10.5281/zenodo.7955584
title: AntarcticBasins v1.04: Antarcitca's Sedimentary Basins Distribution and Classification

description: GIS package for Antarctic Sedimentary Basins Distribution and Classification Supplement to: Aitken, A. R. A., Li, L., Kulessa, B., Schroeder, D., Jordan, T. A., Whittaker, J. M., et al. (2023). Antarctic sedimentary basins and their influence on ice-sheet dynamics. <em>Reviews of Geophysics</em>, 61, e2021RG000767. https://doi.org/10.1029/2021RG000767
DOI: 10.5281/zenodo.7955525
title: AntarcticBasins v1.04: Antarcitca's Sedimentary Basins Distribution and Classification

description: GIS package for Antarctic Sedimentary Basins Distribution and Classification Supplement to: Aitken, A. R. A., Li, L., Kulessa, B., Schroeder, D., Jordan, T. A., Whittaker, J. M., et al. (2023). Antarctic sedimentary basins and their influence on ice-sheet dynamics. <em>Reviews of Geophysics</em>, 61, e2021RG000767. https://doi.org/10.1029/2021RG000767
DOI: 10.5281/zenodo.8287792
title: FOR-instance: a UAV laser scanning benchmark dataset for semantic and instance segmentation of individual trees

description: The challenge of accurately segmenting individual trees from laser scanning data hinders the assessment of crucial tree parameters necessary for effective forest management, impacting many downstream applications. While dense laser scanning offers detailed 3D representations, automating the segmentation of trees and their structures from point clouds remains difficult. The lack of suitable benchmark datasets and reliance on small datasets have limited method development. The emergence of deep learning models exacerbates the need for standardized benchmarks. Addressing these gaps, the FOR-instance data represent a novel benchmarking dataset to enhance forest measurement using dense airborne laser scanning data, aiding researchers in advancing segmentation methods for forested 3D scenes. In this repository, users will find forest laser scanning point clouds from unamnned aerial vehicle (using Riegl sensors) that are manually segmented according to the individual trees (1130 trees) and semantic classes. The point clouds are subdivided into five data collections representing different forests in Norway, the Czech Republic, Austria, New Zealand, and Australia. These data are meant to be used either for developement of new methods (using the dev data) or for testing of exisitng methods (test data). The data splits are provided in the data_split_metadata.csv file. A full description of the FOR-instance data can be found at http://arxiv.org/abs/2309.01279
DOI: 10.5281/zenodo.8287791
title: FOR-instance: a UAV laser scanning benchmark dataset for semantic and instance segmentation of individual trees

description: The challenge of accurately segmenting individual trees from laser scanning data hinders the assessment of crucial tree parameters necessary for effective forest management, impacting many downstream applications. While dense laser scanning offers detailed 3D representations, automating the segmentation of trees and their structures from point clouds remains difficult. The lack of suitable benchmark datasets and reliance on small datasets have limited method development. The emergence of deep learning models exacerbates the need for standardized benchmarks. Addressing these gaps, the FOR-instance data represent a novel benchmarking dataset to enhance forest measurement using dense airborne laser scanning data, aiding researchers in advancing segmentation methods for forested 3D scenes. In this repository, users will find forest laser scanning point clouds from unamnned aerial vehicle (using Riegl sensors) that are manually segmented according to the individual trees (1130 trees) and semantic classes. The point clouds are subdivided into five data collections representing different forests in Norway, the Czech Republic, Austria, New Zealand, and Australia. These data are meant to be used either for developement of new methods (using the dev data) or for testing of exisitng methods (test data). The data splits are provided in the data_split_metadata.csv file. A full description of the FOR-instance data can be found at http://arxiv.org/abs/2309.01279
DOI: 10.5281/zenodo.4667996
title: GR4SP Suite: Additional Data and Simulation Results

description: This entry is for the GR4SP's Suite, a model and simulation tool used to analyse the Victorian electricity system's history and potential future transition pathways. It includes additional input data and simulation results. Most of these files were used or generated with Jupyter Notebook scripts shared in the author's GitHub repository. Input data in YAML files include VIC.yaml with input settings for the business-as-usual scenario. Some of these inputs can be changed to achieve different future trajectories. For example, try increasing 25% the <em>basePrice </em>of Brown Coal and check how this could impact future emission trajectories, electricity production from renewable energy, and spot prices. This entry includes Sobol's sensitivity indices, the Elementary Effects Test (EET) mu* and sigma. The Morris and Sobol sampling results are saved as .tar.gz files with corresponding names. The input data and results for the Energy Vulnerability (EV) assessment quantifying the LIHC indicator and the data used for the Sectoral Network Analysis (SNA) (i.e. ActorActorRelV0.8.csv). This also includes the results from exploring future pathways of the electricity system using EMA workbench's PRIM, FS and other tools for open exploration (https://emaworkbench.readthedocs.io/en/latest/). The exploration was guided by three scenarios: Low-Carbon Transition (LCT), Just Transition (JT), and Sustainability Transition (ST). Any additional file with BAU in the name includes the results for the Business-as-usual scenario. This version of the dataset includes a few results of policy mixes to achieve any of the three transition scenarios generated in the Jupyter Notebook ScenariosAnalysis. The zip file "policyMixesResults" contains the .csv file with the outputs for different input changes. These details of the input changes for each file are in the "ScenarioAnalysisOutputDetailsv0.2.xlsx". The outputs of the model for these policy mixes can be found in the zip file "policyMixesFigs".
description: {"references": ["Rojas, A.M. and deHaan, F. in Modelling Transitions: Virtues, Vices, Visions of the Future Vol. 7 Routledge Studies in Sustainability Transitions (eds E. Moallemi & F. de Haan) 139-161 (Routledge, 2020)."]}
DOI: 10.5281/zenodo.4667997
title: GR4SP Victoria Electricity System

description: "GR4SPDB-2020-12-14.sql" is a database backup that can be loaded into a PostgreSQL database to access all data collected and used in the simulation engine of GR4SP suite, which is a model of the Victorian electricity system. GR4SP implements key concepts to represent services of provision as socio-technical systems from Rojas and deHaan (2020).
description: {"references": ["Rojas, A.M. and deHaan, F. in Modelling Transitions: Virtues, Vices, Visions of the Future Vol. 7 Routledge Studies in Sustainability Transitions (eds E. Moallemi & F. de Haan) 139-161 (Routledge, 2020)."]}
DOI: 10.5281/zenodo.8320754
title: GR4SP Suite: Additional Data and Simulation Results

description: This entry is for the GR4SP's Suite, a model and simulation tool used to analyse the Victorian electricity system's history and potential future transition pathways. It includes additional input data and simulation results. Most of these files were used or generated with Jupyter Notebook scripts shared in the author's GitHub repository. Input data in YAML files include VIC.yaml with input settings for the business-as-usual scenario. Some of these inputs can be changed to achieve different future trajectories. For example, try increasing 25% the <em>basePrice </em>of Brown Coal and check how this could impact future emission trajectories, electricity production from renewable energy, and spot prices. This entry includes Sobol's sensitivity indices, the Elementary Effects Test (EET) mu* and sigma. The Morris and Sobol sampling results are saved as .tar.gz files with corresponding names. The input data and results for the Energy Vulnerability (EV) assessment quantifying the LIHC indicator and the data used for the Sectoral Network Analysis (SNA) (i.e. ActorActorRelV0.8.csv). This also includes the results from exploring future pathways of the electricity system using EMA workbench's PRIM, FS and other tools for open exploration (https://emaworkbench.readthedocs.io/en/latest/). The exploration was guided by three scenarios: Low-Carbon Transition (LCT), Just Transition (JT), and Sustainability Transition (ST). Any additional file with BAU in the name includes the results for the Business-as-usual scenario. This version of the dataset includes a few results of policy mixes to achieve any of the three transition scenarios generated in the Jupyter Notebook ScenariosAnalysis. The zip file "policyMixesResults" contains the .csv file with the outputs for different input changes. These details of the input changes for each file are in the "ScenarioAnalysisOutputDetailsv0.2.xlsx". The outputs of the model for these policy mixes can be found in the zip file "policyMixesFigs".
description: {"references": ["Rojas, A.M. and deHaan, F. in Modelling Transitions: Virtues, Vices, Visions of the Future Vol. 7 Routledge Studies in Sustainability Transitions (eds E. Moallemi & F. de Haan) 139-161 (Routledge, 2020)."]}
DOI: 10.6084/m9.figshare.24081438.v33
title: lunar_surface_chemistry_maps

description: The data files depict the Mg# values and the abundances of SiO2, TiO2, Al2O3, FeO, MgO and CaO observed by the KAGUYA multiband imager. The data files are in the format of .tif and can be opend by the software ArcGIS.
DOI: 10.5281/zenodo.6534191
title: GR4SP Suite: Additional Data and Simulation Results

description: This entry is for the GR4SP's Suite, a model and simulation tool used to analyse the Victorian electricity system's history and potential future transition pathways. It includes additional input data and simulation results. Most of these files were used or generated with Jupyter Notebook scripts shared in the author's GitHub repository. Input data in YAML files include VIC.yaml with input settings for the business-as-usual scenario. Some of these inputs can be changed to achieve different future trajectories. For example, try increasing 25% the <em>basePrice </em>of Brown Coal and check how this could impact future emission trajectories, electricity production from renewable energy, and spot prices. This entry includes Sobol's sensitivity indices, the Elementary Effects Test (EET) mu* and sigma. The Morris and Sobol sampling results are saved as .tar.gz files with corresponding names. The input data and results for the Energy Vulnerability (EV) assessment quantifying the LIHC indicator and the data used for the Sectoral Network Analysis (SNA) (i.e. ActorActorRelV0.8.csv). This also includes the results from exploring future pathways of the electricity system using EMA workbench's PRIM, FS and other tools for open exploration (https://emaworkbench.readthedocs.io/en/latest/). The exploration was guided by three scenarios: Low-Carbon Transition (LCT), Just Transition (JT), and Sustainability Transition (ST). Any additional file with BAU in the name includes the results for the Business-as-usual scenario.
description: {"references": ["Rojas, A.M. and deHaan, F. in Modelling Transitions: Virtues, Vices, Visions of the Future Vol. 7 Routledge Studies in Sustainability Transitions (eds E. Moallemi & F. de Haan) 139-161 (Routledge, 2020)."]}
DOI: 10.6084/m9.figshare.24087072
title: ''Food can help numb the pain’: a mixed methods exploration of disordered eating, shame, and self-compassion in an international community sample of men and women

description: 4 attachments: 1. Quantitative raw data, SPSS, .sav file 2. Quantitative analysis, SPSS, .spv file 3. Qualitative raw data and analysis, NVivo v.12, .nvp file, 4. Data memo
DOI: 10.5281/zenodo.8229861
title: Enhanced Gas Adsorption Kinetics in Supraparticle-based MOF Materials

description: This is the raw data for the manuscript: Enhanced Gas Adsorption Kinetics in Supraparticle-based MOF Materials, publlished in Advanced Materials. A read me file containing all descriptions can be found in the main folder of the zip file All data are sorted according to their appearance in the figures of the main manuscript
description: Funded by the Deutsche Forschungsgemeinscha􀅌 (DFG, German Research Founda􀆟on)– Project-ID 416229255 – SFB 1411
DOI: 10.5281/zenodo.8229862
title: Enhanced Gas Adsorption Kinetics in Supraparticle-based MOF Materials

description: This is the raw data for the manuscript: Enhanced Gas Adsorption Kinetics in Supraparticle-based MOF Materials A read me file containing all descriptions can be found in the main folder of the zip file All data are sorted according to their appearance in the figures of the main manuscript
description: Funded by the Deutsche Forschungsgemeinscha􀅌 (DFG, German Research Founda􀆟on)– Project-ID 416229255 – SFB 1411
DOI: 10.5281/zenodo.8320723
title: Enhanced Gas Adsorption Kinetics in Supraparticle-based MOF Materials

description: This is the raw data for the manuscript: Enhanced Gas Adsorption Kinetics in Supraparticle-based MOF Materials, publlished in Advanced Materials. A read me file containing all descriptions can be found in the main folder of the zip file All data are sorted according to their appearance in the figures of the main manuscript
description: Funded by the Deutsche Forschungsgemeinscha􀅌 (DFG, German Research Founda􀆟on)– Project-ID 416229255 – SFB 1411
DOI: 10.5281/zenodo.8320786
title: Raw data_Evaluation of the prognostic role of NLR, CAR, and PLR in patients with the co-presentation of coronary artery disease and COVID-19

description: Raw data
DOI: 10.5281/zenodo.8320785
title: Raw data_Evaluation of the prognostic role of NLR, CAR, and PLR in patients with the co-presentation of coronary artery disease and COVID-19

description: Raw data
DOI: 10.15468/dl.q4u3hu
title: Occurrence Download

description: A dataset containing 5950 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ficus benjamina L."
 ]
}

 The dataset includes 5950 records from 353 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089503-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wjxcnn
title: Occurrence Download

description: A dataset containing 1147 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Orsillus depressus Dallas, 1852",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 1147 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089510-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.