cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10036383
title: Preform blowing simulation data

description: 10000 simulations


Arruda-boyce hyperelastic law
DOI: 10.5281/zenodo.10067058
title: Preform blowing simulation data

description: 10000 simulations


Arruda-boyce hyperelastic law
DOI: 10.5281/zenodo.10075780
title: Preform blowing simulation data

description: 10000 simulations


Arruda-boyce hyperelastic law
DOI: 10.5281/zenodo.10132152
title: Preform blowing simulation data

description: 10000 simulations


Arruda-boyce hyperelastic law
DOI: 10.5281/zenodo.8032952
title: Preform blowing simulation data

description: 1000 simulations Arruda-boyce hyperelastic law
DOI: 10.5281/zenodo.10251297
title: Preform blowing simulation data

description: 10000 simulations


Arruda-boyce hyperelastic law
DOI: 10.5281/zenodo.10350715
title: Preform blowing simulation data

description: 10000 simulations


Arruda-boyce hyperelastic law
DOI: 10.5281/zenodo.8032951
title: Preform blowing simulation data

description: 10000 simulations


Arruda-boyce hyperelastic law
DOI: 10.5281/zenodo.8032970
title: Preform blowing simulation data

description: 1000 simulations Arruda-boyce hyperelastic law
DOI: 10.5281/zenodo.8315863
title: Preform blowing simulation data

description: 10000 simulations Arruda-boyce hyperelastic law
DOI: 10.6084/m9.figshare.24785706.v2
title: Experiment Results (CPAChecker)

description: CPAChecker's experiment results
DOI: 10.12770/9da7d2e1-f52c-461c-81a8-214ff89a2ac7
title: ObsMer - Observation des captures en mer : captures des espèces de tortues entre 2010 et 2019

description: Les données d'observation des captures en mer sur les navires professionnels, collectées via le dispositif ObsMer, contiennent : les caractéristiques de la marée et des métiers observés (couple engin-espèce cible), la composition des captures (débarquées et rejetées) en taille et en poids par espèce commerciale et scientifique, les potentielles captures accidentelles. Les données présentées ici ont été spécifiquement extraites pour alimenter les indicateurs d'évaluation de la DCSMM relatifs aux espèces de tortue.
DOI: 10.5281/zenodo.10325356
title: Job Prediction based on Skills and Years of experience

description: Purpose:
This dataset was meticulously collected by me during my academic journey. It comprises information on various attributes related to individuals' academic backgrounds, programming skills, work experiences, and roles in the field of technology. The dataset is specifically designed for job prediction purposes, helping to analyze and forecast potential job roles based on individuals' qualifications.
description: Attributes:

ML (Machine Learning): Level of expertise in Machine Learning (yes/no).
DL (Deep Learning): Level of expertise in Deep Learning (yes/no).
Image Processing: Experience in Image Processing (yes/no).
Programming Languages:

Python, Java, C, HTML, CSS: Proficiency in each programming language (yes/no).
Database:

MYSQL: Experience with MySQL (yes/no).
NLP (Natural Language Processing): Experience in Natural Language Processing (yes/no).
CGPA: Cumulative Grade Point Average.
Role: Current role in the technology field.
DOI: 10.5281/zenodo.10325357
title: Job Prediction based on Skills and Years of experience

description: Purpose:
This dataset was meticulously collected by me during my academic journey. It comprises information on various attributes related to individuals' academic backgrounds, programming skills, work experiences, and roles in the field of technology. The dataset is specifically designed for job prediction purposes, helping to analyze and forecast potential job roles based on individuals' qualifications.
description: Attributes:

ML (Machine Learning): Level of expertise in Machine Learning (yes/no).
DL (Deep Learning): Level of expertise in Deep Learning (yes/no).
Image Processing: Experience in Image Processing (yes/no).
Programming Languages:

Python, Java, C, HTML, CSS: Proficiency in each programming language (yes/no).
Database:

MYSQL: Experience with MySQL (yes/no).
NLP (Natural Language Processing): Experience in Natural Language Processing (yes/no).
CGPA: Cumulative Grade Point Average.
Role: Current role in the technology field.
DOI: 10.6084/m9.figshare.24785706.v3
title: Experiment Results (CPAChecker)How to run:(1) download CPAchecker-2.1-unix from https://cpachecker.sosy-lab.org/download-oldversions.php(2) install CPAchecker-2.1-unix using the documentation (https://cpachecker.sosy-lab.org/doc.php)(3) copy the CPAchecker-2.1-unix directory into cpa-results-svcomp / cpa-results-embedded directories(4) run test_cpa*.sh files

description: CPAChecker's experiment results
DOI: 10.6084/m9.figshare.24585474
title: KerTAD

description: Data for manuscript "Identifying topologically associating domains using differential kernels". Hi-C maps file consists of Hi-C maps used in analysis that are not publicly available. KerTAD.zip has the code for the Hi-C identification algorithm.
DOI: 10.6084/m9.figshare.24585474.v1
title: KerTAD

description: Data for manuscript "Identifying topologically associating domains using differential kernels". Hi-C maps file consists of Hi-C maps used in analysis that are not publicly available. KerTAD.zip has the code for the Hi-C identification algorithm.
DOI: 10.6084/m9.figshare.20522544
title: The vertical structure of internal lee wave-driven benthic mixing hotspots

description: This item includes the datasets utilized in the article published in Journal of Physcial Oceanography.
DOI: 10.6084/m9.figshare.20522544.v1
title: The vertical structure of internal lee wave-driven benthic mixing hotspots

description: This item includes the datasets utilized in the article for submission to Journal of Physcial Oceanography.
DOI: 10.12770/93904e31-e1bf-4eb2-9c46-984ae9dd89c5
title: Données d'observation de tortues en Méditerranée française entre 2010 et 2019 (RTMMF)

description: Extraction des données issues de la base du Réseau des Tortues Marines de Méditerranée Française (RTMMF). Ces données présentent les échouages et les captures de tortues observée en Mer Méditerranée, ainsi que les espèces concernées et le type d'interaction.
DOI: 10.5281/zenodo.10214127
title: pyMelt_MultiNest inversion files for Nekrylov et al. "Magmatic evolution along the Emperor-Hawaiian seamount chain revealed by olivine-hosted melt inclusions"

description: pyMelt_MultiNest inversion data collected for Nekrylov et al. "Magmatic evolution along the Emperor-Hawaiian seamount chain revealed by olivine-hosted melt inclusions"
DOI: 10.5281/zenodo.10214128
title: pyMelt_MultiNest inversion files for Nekrylov et al. "Magmatic evolution along the Emperor-Hawaiian seamount chain revealed by olivine-hosted melt inclusions"

description: pyMelt_MultiNest inversion data collected for Nekrylov et al. "Magmatic evolution along the Emperor-Hawaiian seamount chain revealed by olivine-hosted melt inclusions"
DOI: 10.5281/zenodo.10350906
title: LMANStat Dataset

description: This package contains the dataset named named "Large-scale Multi-layer Academic Networks (LMANStat)" and the code in Gao, Zhang, Pan, and Wang's paper titled "Large-scale Multi-layer Academic Networks Derived from Statistical Publications".

We highly welcome you to utilize our data and code for your research work. If you use our data and code, please ensure to cite our paper accurately as follows:

Gao, T., Zhang, Y., Pan, R., & Wang, H. (2023). Large-scale Multi-layer Academic Networks Derived from Statistical Publications. arXiv preprint arXiv:2308.11287.
DOI: 10.5281/zenodo.8160652
title: LMANStat Dataset

description: This package contains the dataset named named "Large-scale Multi-layer Academic Networks (LMANStat)" and the code in Gao, Zhang, Pan, and Wang's paper titled "Large-scale Multi-layer Academic Networks Derived from Statistical Publications".

We highly welcome you to utilize our data and code for your research work. If you use our data and code, please ensure to cite our paper accurately as follows:

Gao, T., Zhang, Y., Pan, R., & Wang, H. (2023). Large-scale Multi-layer Academic Networks Derived from Statistical Publications. arXiv preprint arXiv:2308.11287.
DOI: 10.5281/zenodo.8268038
title: Gaotianchen97/LMANStat: Large-scale Multi-layer Academic Networks Derived from Statistical Publications v1.0.2

description: This package contains the dataset named named "Large-scale Multi-layer Academic Networks (LMANStat)" and the code in Gao, Zhang, Pan, and Wang's paper titled "Large-scale Multi-layer Academic Networks Derived from Statistical Publications". We highly welcome you to utilize our data and code for your research work. If you use our data and code, please ensure to cite our paper accurately as follows: Gao, T., Zhang, Y., Pan, R., & Wang, H. (2023). Large-scale Multi-layer Academic Networks Derived from Statistical Publications. Zenodo. https://doi.org/10.5281/zenodo.8268038
DOI: 10.5281/zenodo.7098323
title: MIROC4-ACTM: Model setup, input and output data for CH4 LETKF (Bisht et al., GMD-D, 2022)

description: Details in : Bisht, J. S. H., Patra, P. K., Takigawa, M., Sekiya, T., Kanaya, Y., Saitoh, N., and Miyazaki, K.: Estimation of CH<sub>4</sub> emission based on advanced 4D-LETKF assimilation system, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2022-719, 2022.
DOI: 10.15468/30wm6u
title: Global Register of Introduced and Invasive Species – Tristan da Cunha, Saint Helena, Ascension and Tristan da Cunha

description: The Global Register of Introduced and Invasive Species (GRIIS) presents validated and verified checklists of introduced (alien) and invasive alien species at the country, territory, and associated island level. The primary intention of GRIIS is to provide checklists for countries, islands and soon also for protected areas. Checklists are living entities, especially for biological invasions given the growing nature of the problem. GRIIS checklists are based on a published methodology and supported by the Integrated Publishing Tool that jointly enable ongoing improvements and updates to expand their taxonomic coverage and completeness. Phase 1 of the project focused on developing validated and verified checklists of countries that are Party to the Convention on Biological Diversity (CBD). Phase 2 which is on-going, aims to achieve global coverage including non-party countries and all overseas territories of countries e.g. Netherlands, France and United Kingdom. Species belonging to all Kingdoms are covered as well as occurring in all environment/systems. Country/ Territory/ Island checklists are reviewed and verified by networks of country or species experts. Verified checklists/ species records as well as those under review are presented on the online GRIIS website (www.griis.org) in addition to being published through the GBIF IPT This annotated checklist is of introduced (alien) and invasive alien species known to occur in Tristan da Cunha, an Overseas territory of the United Kingdom.
DOI: 10.15468/n76oxt
title: Global Register of Introduced and Invasive Species – South Georgia and the South Sandwich Islands

description: The Global Register of Introduced and Invasive Species (GRIIS) presents validated and verified checklists of introduced (alien) and invasive alien species at the country, territory, and associated island level. The primary intention of GRIIS is to provide checklists for countries, islands and soon also for protected areas. Checklists are living entities, especially for biological invasions given the growing nature of the problem. GRIIS checklists are based on a published methodology and supported by the Integrated Publishing Tool that jointly enable ongoing improvements and updates to expand their taxonomic coverage and completeness. Phase 1 of the project focused on developing validated and verified checklists of countries that are Party to the Convention on Biological Diversity (CBD). Phase 2 which is on-going, aims to achieve global coverage including non-party countries and all overseas territories of countries e.g. Netherlands, France and United Kingdom. Species belonging to all Kingdoms are covered as well as occurring in all environment/systems. Country/ Territory/ Island checklists are reviewed and verified by networks of country or species experts. Verified checklists/ species records as well as those under review are presented on the online GRIIS website (www.griis.org) in addition to being published through the GBIF IPT This annotated checklist is of introduced (alien) and invasive alien species known to occur in South Georgia and the South Sandwich Islands an Overseas territory of the United Kingdom.
DOI: 10.15482/usda.adc/1527976
title: Data from: Late-season corn stalk nitrate measurements across the US Midwest from 2006 to 2018

description: This dataset is based on field-guided corn stalk nitrate test surveys across the US Midwest from 2006 to 2018. In total, measurements from 10,675 corn fields were collected which represents 32,025 corn stalk nitrate measurements. Nitrogen form (commonly referred to as N source10) and the total N rate applied, US state, year of harvest, and climatic conditions are included for each site-year (trial location by growing season combination). When available, previous crop, manure source, tillage, and timing of N application are also included.
DOI: 10.17632/h2v6c4ypcs.1
title: Technical note: Sublimation of frozen CsCl solutions in ESEM: Determining the number and size of salt particles relevant to sea-salt aerosols (Dataset)

description: This data comprise figures for the paper  "Technical note: Sublimation of frozen CsCl solutions in ESEM: Determining the number and size of salt particles relevant to sea-salt aerosol" by Vetráková et al. Representative images of the sublimation resudua at -25°C, that were used for the evaluation of salt particle sizes, are also attached.
DOI: 10.26050/wdcc/gcos_ehi_1960-2020_crhc
title: GCOS EHI 1960-2020 Cryosphere Heat Content

description: Project: GCOS Earth Heat Inventory - A study under the Global Climate Observing System (GCOS) concerted international effort to update the Earth heat inventory (EHI), and presents an updated international assessment of ocean warming estimates, and new and updated estimates of heat gain in the atmosphere, cryosphere and land over the period from 1960 to present. Summary: The file “GCOS_EHI_1960-2020_Cryosphere_Heat_Content_data.nc” presents an updated estimate of the global cryosphere heat uptake from 1960-2020. The cryosphere heat uptake sums the energy change associated with changes in Arctic and Antarctic sea ice, glaciers and the Greenland and Antarctic Ice Sheets. This represents an update to the record described in von Schuckmann et al. (2020) with the inclusion of observationally-based estimates for recent Arctic sea-ice change, and the data are used in von Schuckmann et al. (2022).
DOI: 10.5067/gmslm-tj150
title: Global Mean Sea Level Trend from Integrated Multi-Mission Ocean Altimeters TOPEX/Poseidon Jason-1 and OSTM/Jason-2 Version 5
DOI: 10.5281/zenodo.3557199
title: Global and regional glacier mass changes from 1961 to 2016

description: Supplementary data tables with the results from Zemp et al. (2019) entitled "<em><strong>Global glacier mass changes and their contributions to sea-level rise from 1961 to 2016</strong></em>", Nature: <strong>Data Tables 1a-t | Temporal variabilities for glaciological clusters based on variance decomposition model. </strong>Annual results are made available as csv-files for all 20 cluster: Zemp_etal_results_clusters.zip <strong>Data Tables 2a-t | Regional and global mass balance and mass change results from 1961-2016. </strong>Annual results are made available as csv-files for all 19 regions (cf. RGI 6.0) as well as for the global sum: Zemp_etal_results_regions_global.zip <strong>Data Table 3 | Glacier mass changes for Central Europe from 1961-2016. </strong>Annual results as in Data Table 2 but with examples for multi-year error calculations are made available as Excel-file: Zemp_etal_results_region-CEU_errorcalcs.xlsx <strong>Note</strong>: The corresponding full sample of glaciological and geodetic observations for individual glaciers are publicly available from the World Glacier Monitoring Service: http://doi.org/10.5904/wgms-fog-2018-11 <strong>Version 1.1</strong><br> This version provides the results from the glaciological clusters (Data Tables 1a-t) as used by Zemp et al. (2019). In addition, it contains corrected results for region Iceland (Data Table 2, region_6_ISL) and correspondingly for the global sum (Data Table 2, global); the results for the other regions remain unchanged. For more details on the correction of the regional results for Iceland, see Zemp et al. (2019, Nature), Author Correction. <strong>Version 1.0</strong><br> Data tables containing the results for the 20 glaciological clusters (Data Tables 1a-t) as well as for the 19 regions and global sums (Data Tables 2a-t) related to the publication by Zemp et al. (2019, Nature). We note that this version erroneously contains pre-release versions of results for most of the glaciological clusters that were not used in Zemp et al. (2019, Nature).
description: {"references": ["Zemp, M., Huss, M., Thibert, E., Eckert, N., McNabb, R., Huber, J., Barandun, M., Machguth, H., Nussbaumer, S.U., G\u00e4rtner-Roer, I., Thomson, L., Paul, F., Maussion, F., Kutuzov, S., and Cogley, J.G. (2019): Global glacier mass changes and their contributions to sea-level rise from 1961 to 2016. Nature, http://dx.doi.org/10.1038/s41586-019-1071-0"]}
DOI: 10.5281/zenodo.6390219
title: Europe1k evaluation output data

description: This repository contains the evaluation output from the PCR-GLOWB model runs over Europe at 1 km, 10 km, and 50 km. The data is hence not the original output data which is too large in its entirety. The here available data is the result of the model output evaluation and contains metrics per water province.
DOI: 10.5281/zenodo.7149214
title: Dataset and codes for 'Climatic control on seasonal variations of glacier surface velocity'

description: <strong>This repository contains the codes and processed data used to retrieve 10-day changes in glacier surface velocity over the Western Pamir.</strong> The supp_CODES.zip contains all details and codes to use COSI-CORR (http://www.tectonics.caltech.edu/slip_history/spot_coseis/) to process a large batch of satellite images. The images can be downloaded directly via https://earthexplorer.usgs.gov/ or https://scihub.copernicus.eu. Please read the Methods and Data section of the associated manuscript for details. The Matrix_velocities.zip contains, for each of the 48 investigated glaciers, the DEM, X, Y (NANNI_2022_supp_glacier_centreline_DEM_XY_1px_30m_1.txt) as well as a matrix of n*m with m the distance along flow and n the number of time step over which the velocity is calculated (NANNI_2022_supp_glacier_centreline_vel_matrix_1px_30m_1.txt), ans the associated figure that show the multi year velocity changes together with the one year average and the along centreline profiles. An example is shown in the two figures for glacier 48 in the main repository. The NANNI_2022_supp_glacier_characteristics file contains the glacier characteristics (48*8), as shown in the associated figures. The NANNI_2022_supp_pickedpoints_migration_AUTUMN/SPRING contains the automatically picked points for the onset of the acceleration in Spring and Autmun for each glacier. The headers contains the information, and the files contains is shown in the associated figure. the temperature profiles used to calculate the Iso 0C are in NANNI_2022_supp_temp_perday_fedchenko_2400m The position of each 48 glacier is shown in the associated figure. You can also find the processed velocity fields (velocity magnitude) under the different path an row: p151r33.zip and p152r33.zip for Landsat8, T42SYJ.zip and T43SBD.zip for Sentinel 2. In these folder you will a find a .tif file names similar to: <em>Working_cosicorr_windows_FCorr_16days_p152r33_159_175_AB_1101110_Filtered_correlations_p152r33_filtered_abs.tif</em> The name of the files gives information about the time span used (16days), the path and raw (p152r33), the data of the slave in DOY from 2013 (159) and of the master (175). The Statistics.zip file contains for each path and row the associated DEM, glacier mask (RGI), median magnitude (ABS), median NS displacement (NS), median EW displacemnt (EW), with the associated median absolute deviation (MAD). The files containing 'bflt' corresponds to the values computed before the filtering procedure, and the one without, after the filtering procedure. The .tif files are not georeferenced, but are all projected on the same grid with a 30m square pixel size on a UTM 33 42N projection. Please contact me for any question.
DOI: 10.57931/1922953
title: CLM5 CAMELS Basins Ensemble

description: Land surface models such as Community Land Model Version 5 (CLM5) are essential tools for simulating the behaviors of the terrestrial system. Despite the extensive application of CLM5, limited attention has been paid to the underlying uncertainties associated with its hydrologic parameters and the implications that these uncertainties have on water resources applications. To address this long-standing issue, we conduct a comprehensive hydrologic parameter uncertainty characterization (UC) of CLM5 over the hydroclimatic gradients of the Conterminous United States using five meteorological datasets. Key datasets produced from the UC experiment include a benchmark dataset of CLM5 default hydrological performance, parameter sensitivity identified for 28 hydrological metrics, and large ensemble outputs for hydrological predictions. The presented datasets can assist CLM5 calibration and to support broad applications such as evaluating vulnerabilities to droughts and floods. The dataset can be used to identify under what hydroclimate conditions parametric uncertainties demonstrate substantial effects on hydrological predictions and clarify where further investigations are needed to understand how land runoff uncertainties interact with other Earth system processes. Please refer to the README.pdf for a description of the included files. Note that raw CLM5 model outputs for each forcing dataset are hosted on a Globus endpoint: https://app.globus.org/file-manager?destination_id=d22ef858-27b0-11ed-a910-fd3165076336.
DOI: 10.1285/i20356609v14i1p321
title: Mobility and Citizenship during Pandemics: The Multilevel Political Responses in South America

description: During the Covid-19 pandemic in 2020, (im)mobility policies affected individuals' citizenship rights and movement within countries and across international borders. Prior to the pandemic, the mobility regime in South America was relatively open for regional migrants, bolstered on free residence and equal rights. In this analysis, we focus on human mobility and citizenship rights in South America by examining local and national government responses to Covid-19 between March and August 2020. Using databases, newspaper columns, government websites, and legislation, we outline the region's travel restrictions and exceptions, closures and militarization of borders, internal movement procedures, and economic subsidies to ease Covid-19's impact. While the regional mobility regime had already been under stress since 2015, exceptions to border closures and internal mobility further stratified people based on legal and economic statuses. Deeply affecting individual-state relations, access to mobility and citizenship rights such as labor, housing, and healthcare varied between nationals and non-nationals and between regular and irregular migrants. Reactions may have longer term effects, especially for Venezuelans, since the crisis created new inequalities and contradictions within the regional mobility regime, originally aimed at reducing them.
DOI: 10.5067/suborbital/oracles/p3/2018_v3
title: Aerosol, cloud and related data acquired aboard P3 during ORACLES 2018, version 3