cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8019751
title: Soil dataset from poplar cultivation sites in northern Italy plains

description: The soil sampling activities conducted in the plains of northern Italy adhered to the methodology outlined in the poplar inventory dataset by Rizza et al. (2023). The dataset consisted of 2,322 clusters that were georeferenced on a three-kilometre UTM grid, systematically distributed across an area spanning 4,179,600 hectares. Each cluster comprised nine subunits aligned with the points on a 500-meter square grid. The soil sampling took place between 1994 and 1996 and focused on locations with poplar plantations that were at least five years old in 1994. To obtain the samples, a pedological profile was manually excavated, and each layer was identified. One kilogram of soil was collected from each layer. Each soil sample was labelled with the region's sampling letter, cluster number, and element number. A maximum of five depths were examined for each sample. The texture characteristics (fine sand, coarse sand, fine silt, coarse silt, and clay) and certain chemical properties (limited to the first horizon) were documented, including NH4+, NO3-, CaCO3, P2O5, pH, organic matter, and soil carbon. Moreover, the presence of irrigation was recorded, and for the first layer, the depth of the temporary and permanent water table was reported. It is important to note that for certain samples, only the surface soil layers were evaluated, omitting depths exceeding 60 centimetres. Additionally, the soil samples were air dried, sieved to two millimetres and then scanned using an ASD Fieldspec instrument, particularly the LabSpec Pro Spectrophotometer LSP 350-2500P Analytical Spectral Devices, Inc. The reflectance at wavelength range 350–2500 nm was acquired with an interval of 1 nm. The resulting Vis-Nir soil spectral library was integrated with the soil data and entered in two excel worksheets joined by a sampleID. The coordinates of the samples are in WGS 84 - EPSG 4326.
DOI: 10.5281/zenodo.8036920
title: Soil dataset from poplar cultivation sites in northern Italy plains

description: The soil sampling activities conducted in the plains of northern Italy adhered to the methodology outlined in the poplar inventory dataset by Rizza et al. (2023). The dataset consisted of 2,322 clusters that were georeferenced on a three-kilometre UTM grid, systematically distributed across an area spanning 4,179,600 hectares. Each cluster comprised nine subunits aligned with the points on a 500-meter square grid. The soil sampling took place between 1994 and 1996 and focused on locations with poplar plantations that were at least five years old in 1994. To obtain the samples, a pedological profile was manually excavated, and each layer was identified. One kilogram of soil was collected from each layer. Each soil sample was labelled with the region's sampling letter, cluster number, and element number. A maximum of five depths were examined for each sample. The texture characteristics (fine sand, coarse sand, fine silt, coarse silt, and clay) and certain chemical properties (limited to the first horizon) were documented, including NH4+, NO3-, CaCO3, P2O5, pH, organic matter, and soil carbon. Moreover, the presence of irrigation was recorded, and for the first layer, the depth of the temporary and permanent water table was reported. It is important to note that for certain samples, only the surface soil layers were evaluated, omitting depths exceeding 60 centimetres. Additionally, the soil samples were air dried, sieved to two millimetres and then scanned using an ASD Fieldspec instrument, particularly the LabSpec Pro Spectrophotometer LSP 350-2500P Analytical Spectral Devices, Inc. The reflectance at wavelength range 350–2500 nm was acquired with an interval of 1 nm. The resulting Vis-Nir soil spectral library was integrated with the soil data and entered in two excel worksheets joined by a sampleID.
DOI: 10.5281/zenodo.8182624
title: Soil dataset from poplar cultivation sites in northern Italy plains

description: The soil sampling activities conducted in the plains of northern Italy adhered to the methodology outlined in the poplar inventory dataset by Rizza et al. (2023). The dataset consisted of 2,322 clusters that were georeferenced on a three-kilometre UTM grid, systematically distributed across an area spanning 4,179,600 hectares. Each cluster comprised nine subunits aligned with the points on a 500-meter square grid. The soil sampling took place between 1994 and 1996 and focused on locations with poplar plantations that were at least five years old in 1994. To obtain the samples, a pedological profile was manually excavated, and each layer was identified. One kilogram of soil was collected from each layer. Each soil sample was labelled with the region's sampling letter, cluster number, and element number. A maximum of five depths were examined for each sample. The texture characteristics (fine sand, coarse sand, fine silt, coarse silt, and clay) and certain chemical properties (limited to the first horizon) were documented, including NH4+, NO3-, CaCO3, P2O5, pH, organic matter, and soil carbon. Moreover, the presence of irrigation was recorded, and for the first layer, the depth of the temporary and permanent water table was reported. It is important to note that for certain samples, only the surface soil layers were evaluated, omitting depths exceeding 60 centimetres. Additionally, the soil samples were air dried, sieved to two millimetres and then scanned using an ASD Fieldspec instrument, particularly the LabSpec Pro Spectrophotometer LSP 350-2500P Analytical Spectral Devices, Inc. The reflectance at wavelength range 350–2500 nm was acquired with an interval of 1 nm. The resulting Vis-Nir soil spectral library was integrated with the soil data and entered in two excel worksheets joined by a sampleID. The coordinates of the samples are in WGS 84 - EPSG 4326.
DOI: 10.5281/zenodo.8174050
title: AssureMOSS Prospector Reports Dataset (Tracer)

description: This dataset contains 1316 reports obtained with Prospector, an open-source repository mining tool developed by SAP Security Research and the AssureMOSS consortium. The vulnerabilities covered by this dataset correspond to a subset of the vulnerabilities from the Tracer "depth" dataset, obtained from https://patch-tracer.github.io
DOI: 10.5281/zenodo.8174051
title: AssureMOSS Prospector Reports Dataset (Tracer)

description: This dataset contains 1316 reports obtained with Prospector, an open-source repository mining tool developed by SAP Security Research and the AssureMOSS consortium. The vulnerabilities covered by this dataset correspond to a subset of the vulnerabilities from the Tracer "depth" dataset, obtained from https://patch-tracer.github.io
DOI: 10.5281/zenodo.8182674
title: AssureMOSS Prospector Reports Dataset (Tracer)

description: This dataset contains 1316 reports obtained with Prospector, an open-source repository mining tool developed by SAP Security Research and the AssureMOSS consortium. The vulnerabilities covered by this dataset correspond to a subset of the vulnerabilities from the Tracer "depth" dataset, obtained from https://patch-tracer.github.io
DOI: 10.21942/uva.22241323
title: Dataset belonging to Siebers et al. (2023) The Effects of Fragmented and Sticky Smartphone Use on Distraction and Task Delay

description: All materials of the current study, including the preregistration (https://osf.io/sgmj7/) and the syntaxes (https://osf.io/qezw3/), and all materials of the larger project (https://osf.io/327cx) can be found on the Open Science Framework. For more information, please contact the authors via t.siebers@uva.nl or info@project-awesome.nl.
DOI: 10.21942/uva.22241323.v1
title: Dataset belonging to Siebers et al. (2023) The Effects of Fragmented and Sticky Smartphone Use on Distraction and Task Delay

description: All materials of the current study, including the preregistration (https://osf.io/sgmj7/) and the syntaxes (https://osf.io/qezw3/), and all materials of the larger project (https://osf.io/327cx) can be found on the Open Science Framework. For more information, please contact the authors via t.siebers@uva.nl or info@project-awesome.nl.
DOI: 10.5281/zenodo.8182678
title: Example data for "nctoolkit: A Python package for netCDF analysis and post-processing"

description: This is data for the coding example in the paper "nctoolkit: A Python package for netCDF analysis and post-processing". The files are projected surface temperature from the the MPI-ESM-2-LR model covering the years 1850-2099, under the SSP5 8.5 scenario and the r1i1p1f1 variant. The files were downloaded from the Earth System Grid Federation: https://esgf-node.llnl.gov/projects/esgf-llnl/ Data covers the historical period 1850-2014 and the SSP5 8.5 period 2015-2099. Files are for illustrative purposes only and are unchanged from the originals.
DOI: 10.5281/zenodo.8182677
title: Example data for "nctoolkit: A Python package for netCDF analysis and post-processing"

description: This is data for the coding example in the paper "nctoolkit: A Python package for netCDF analysis and post-processing". The files are projected surface temperature from the the MPI-ESM-2-LR model covering the years 1850-2099, under the SSP5 8.5 scenario and the r1i1p1f1 variant. The files were downloaded from the Earth System Grid Federation: https://esgf-node.llnl.gov/projects/esgf-llnl/ Data covers the historical period 1850-2014 and the SSP5 8.5 period 2015-2099. Files are for illustrative purposes only and are unchanged from the originals.
DOI: 10.25934/pr00000727.1
title: Available IPD datapackage for study 'A Randomized, Open-label, Parallel-group, Multicenter Study to Determine the Efficacy and Long-term Safety of Albiglutide Compared With Insulin in Subjects With Type 2 Diabetes Mellitus.'

description: A study to determine the safety and efficacy of albiglutide in subjects with type 2 diabetes.
DOI: 10.5281/zenodo.8182375
title: Li, Kuhn et al., 2023

description: Code and data related to the paper "Pathway-specific inputs to the superior colliculus support flexible responses to visual threat" published in Science Advances
DOI: 10.5281/zenodo.8182374
title: Li, Kuhn et al., 2023

description: Code and data related to the paper "Pathway-specific inputs to the superior colliculus support flexible responses to visual threat" published in Science Advances
DOI: 10.34740/kaggle/dsv/6192115
title: Egypt Gold Prices | Daily Updated
DOI: 10.26050/wdcc/ar6.c6cmbcbcmeh
title: IPCC DDC: BCC BCC-CSM2MR model output prepared for CMIP6 CMIP esm-hist

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.CMIP.BCC.BCC-CSM2-MR.esm-hist' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The BCC-CSM 2 MR climate model, released in 2017, includes the following components: atmos: BCC_AGCM3_MR (T106; 320 x 160 longitude/latitude; 46 levels; top level 1.46 hPa), land: BCC_AVIM2, ocean: MOM4 (1/3 deg 10S-10N, 1/3-1 deg 10-30 N/S, and 1 deg in high latitudes; 360 x 232 longitude/latitude; 40 levels; top grid cell 0-10 m), seaIce: SIS2. The model was run by the Beijing Climate Center, Beijing 100081, China (BCC) in native nominal resolutions: atmos: 100 km, land: 100 km, ocean: 50 km, seaIce: 50 km.
DOI: 10.26050/wdcc/ar6.c6cmbcbe
title: IPCC DDC: BCC BCC-ESM1 model output prepared for CMIP6 CMIP

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.CMIP.BCC.BCC-ESM1' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The BCC-ESM 1 climate model, released in 2017, includes the following components: atmos: BCC_AGCM3_LR (T42; 128 x 64 longitude/latitude; 26 levels; top level 2.19 hPa), atmosChem: BCC-AGCM3-Chem, land: BCC_AVIM2, ocean: MOM4 (1/3 deg 10S-10N, 1/3-1 deg 10-30 N/S, and 1 deg in high latitudes; 360 x 232 longitude/latitude; 40 levels; top grid cell 0-10 m), seaIce: SIS2. The model was run by the Beijing Climate Center, Beijing 100081, China (BCC) in native nominal resolutions: atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 50 km, seaIce: 50 km.
DOI: 10.5281/zenodo.8146028
title: GENEA Challenge 2023 submitted BVH files

description: This Zenodo repository contains 3D motion in the Biovision Hierarchy (BVH) format for all test-set motion submitted by teams participating in the GENEA Challenge 2023. <strong>Contents:</strong> The "genea_2023_test_bvh" zip file corresponds to the BVH files themselves (2GB). The repository also contains the time stamps for cutting out the evaluation segments we used (matched and mismatched) for the two kinds of studies we conducted (monadic and dyadic) in the files "monadic_segment_selection_info.csv" and "dyadic_segment_selection_info.csv". <strong>Attribution:</strong> If you use this material, please cite our latest paper on the GENEA Challenge 2023. At the time of writing (2023-07-11) this is our ACM ICMI 2023 paper: Taras Kucherenko, Rajmund Nagy, Youngwoo Yoon, Jieyeon Woo, Teodor Nikolov, Mihail Tsakov, and Gustav Eje Henter. 2023. The GENEA Challenge 2023: A large-scale evaluation of gesture generation models in monadic and dyadic settings. In Proceedings of the ACM International Conference on Multimodal Interaction (ICMI ’23). ACM. Condition NA in the data contains motion from the Talking With Hands 16.2M dataset at https://github.com/facebookresearch/TalkingWithHands32M/. These are licensed under a CC BY NC 4.0 international license. The remaining material is available under a CC BY 4.0 international license, with the text provided in LICENSE.txt. To find more GENEA Challenge 2023 material on the web, please see: * https://genea-workshop.github.io/2023/challenge/ If you have any questions or comments, please contact: * The GENEA Challenge organisers &lt;genea-challenge@googlegroups.com
DOI: 10.5281/zenodo.8146027
title: GENEA Challenge 2023 submitted BVH files

description: This Zenodo repository contains 3D motion in the Biovision Hierarchy (BVH) format for all test-set motion submitted by teams participating in the GENEA Challenge 2023. <strong>Contents:</strong> The "genea_2023_test_bvh" zip file corresponds to the BVH files themselves (2GB). The repository also contains the time stamps for cutting out the evaluation segments we used (matched and mismatched) for the two kinds of studies we conducted (monadic and dyadic) in the files "monadic_segment_selection_info.csv" and "dyadic_segment_selection_info.csv". <strong>Attribution:</strong> If you use this material, please cite our latest paper on the GENEA Challenge 2023. At the time of writing (2023-07-11) this is our ACM ICMI 2023 paper: Taras Kucherenko, Rajmund Nagy, Youngwoo Yoon, Jieyeon Woo, Teodor Nikolov, Mihail Tsakov, and Gustav Eje Henter. 2023. The GENEA Challenge 2023: A large-scale evaluation of gesture generation models in monadic and dyadic settings. In Proceedings of the ACM International Conference on Multimodal Interaction (ICMI ’23). ACM. Condition NA in the data contains motion from the Talking With Hands 16.2M dataset at https://github.com/facebookresearch/TalkingWithHands32M/. These are licensed under a CC BY NC 4.0 international license. The remaining material is available under a CC BY 4.0 international license, with the text provided in LICENSE.txt. To find more GENEA Challenge 2023 material on the web, please see: * https://genea-workshop.github.io/2023/challenge/ If you have any questions or comments, please contact: * The GENEA Challenge organisers &lt;genea-challenge@googlegroups.com
DOI: 10.25934/pr00000726.1
title: Available IPD datapackage for study 'A Randomized, Double-Blind, Placebo and Active-Controlled, Parallel-Group, Multicenter Study to Determine the Efficacy and Safety of Albiglutide When Used in Combination With Metformin Compared With Metformin Plus Sitagliptin, Metformin Plus Glimepiride, and Metformin Plus Placebo in Subjects With Type 2 Diabetes Mellitus'

description: The purpose of this study is to determine if albiglutide is safe and effective in the treatment of type 2 diabetes.
DOI: 10.22002/dk5g7-rhq64
title: Data and models for "Spatial Implicit Neural Representations for Global-Scale Species Mapping" (ICML 2023)

description: Data and models for the paper "Spatial Implicit Neural Representations for Global-Scale Species Mapping" (ICML 2023). 
This dataset was assembled from multiple sources. For details, please see: https://github.com/elijahcole/sinr
DOI: 10.25934/pr00000416.1
title: Available IPD datapackage for study 'A Phase III, Randomised, Double-blind, Placebo-controlled, Parallel Group Study of Six Months Treatment With Ropinirole CR as Adjunctive Therapy in Patients With Parkinson's Disease Who Are Not Optimally Controlled on L-dopa'

description: The purpose of this double-blind, placebo controlled study is to evaluate the safety and effectiveness of an investigational Parkinson's disease drug in patients with advanced disease who are not well-controlled on their L-dopa medication.
DOI: 10.26255/heal.z6lb-uqbe
title: Greek language files for SentiStrength
DOI: 10.5519/qd.ltc3vxvw
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (89 records)
DOI: 10.5281/zenodo.7950509
title: Proyecto de digitalización 2D y 3D y recreación virtual de los hornos GEA, Manises, Valencia, España, Europa

description: Proyecto de digitalización gráfica y geomático 2D y 3D y recreación virtual del espacio 2D realizado por <strong>AD&D 4D</strong> y patrocinado por el<strong> Ayuntamiento de Manises</strong>, sobre el yacimiento arqueológico GEA (Germanies, Espacio Arqueológico, con la colaboración y dirección científica de la recreación de <strong>Josep Perez Camps</strong>. Manises, Valencia, Comunitat Valenciana, España, Europa. s. XIX Productos realizados: Modelo 3D y visita virtual guiada │ <strong>Visor 3D Sketchfab VR y RA</strong> Nube de puntos densa (Point Cloud) <strong>│</strong> <strong>Visor 3D PointBox</strong> Ortofotomapa 1,62 mm / pix (Geotiff 24 bits) │<strong>Enlace</strong> Nube de puntos densa 64 Millones de puntos - (LAS) │ <strong>Enlace</strong> Modelo 3D texturizado 1 Millones de polígonos (OBJ) │ <strong>Enlace</strong> Recreación virtual del espacio 36024 x 26085 puntos Imagen 01 Psb 8 Bits │ <strong>Enlace</strong> Recreación virtual del espacio, sección de horno 10571 x 15354 puntos Imagen 02 Tiff 8 Bits │<strong>Enlace</strong> Coordenadas: <strong>39.490692, -0.459707 </strong> WSG89 Fecha de captura: <strong>2023-03-07</strong>
DOI: 10.5281/zenodo.7950508
title: Proyecto de digitalización 2D y 3D y recreación virtual de los hornos GEA, Manises, Valencia, España, Europa

description: Proyecto de digitalización gráfica y geomático 2D y 3D y recreación virtual del espacio 2D realizado por <strong>AD&D 4D</strong> y patrocinado por el<strong> Ayuntamiento de Manises</strong>, sobre el yacimiento arqueológico GEA (Germanies, Espacio Arqueológico, con la colaboración y dirección científica de la recreación de <strong>Josep Perez Camps</strong>. Manises, Valencia, Comunitat Valenciana, España, Europa. s. XIX Productos realizados: Modelo 3D y visita virtual guiada │ <strong>Visor 3D Sketchfab VR y RA</strong> Nube de puntos densa (Point Cloud) <strong>│</strong> <strong>Visor 3D PointBox</strong> Ortofotomapa 1,62 mm / pix (Geotiff 24 bits) │<strong>Enlace</strong> Nube de puntos densa 64 Millones de puntos - (LAS) │ <strong>Enlace</strong> Modelo 3D texturizado 1 Millones de polígonos (OBJ) │ <strong>Enlace</strong> Recreación virtual del espacio 36024 x 26085 puntos Imagen 01 Psb 8 Bits │ <strong>Enlace</strong> Recreación virtual del espacio, sección de horno 10571 x 15354 puntos Imagen 02 Tiff 8 Bits │<strong>Enlace</strong> Coordenadas: <strong>39.490692, -0.459707 </strong> WSG89 Fecha de captura: <strong>2023-03-07</strong>
DOI: 10.5519/qd.93mdaj9c
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (90 records)
DOI: 10.18712/nsd-nsd3126-v1
title: Bringing in the state: The politics of wage regulation and low-wage employment (WAGEREG)

description: This project analyses the policies that states use to deal with low-wage employment. In particular, it seeks to explain why states differ in the tools they use to address low-wage employment. Working for very low wages has become more common in many developed countries. States have various tools to address this situation. They can introduce minimum wages by law, they can pay public benefits to top up low wages, or they can try to strengthen the collective bargaining between trade unions and employers. This project will compare to what extent developed countries use these tools. It will then seek to explain that variation using quantitative and qualitative methods. At the same time, the project develops a new, general understanding of how states influence wage setting and the wage distribution.
DOI: 10.6084/m9.figshare.23743869
title: Gait data from children

description: Dataset of gait with different shoes
DOI: 10.5519/qd.hu03pvzy
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1169 records)
DOI: 10.34740/kaggle/dsv/6192288
title: Global Genomic Neurofibromatosis Neoplasia