cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24198891.v2
title: wheat counting simulation

description: Simulation wheat dataset contains 800 training images (simulated) ，50 validation images，330 (100 GWHD + 100 SDAU2021 + 30 SDAU2022 + 100 SDAU2023) test images.
DOI: 10.6084/m9.figshare.25040609
title: Source Data

description: Source Data of manuscript and supplementary information.
DOI: 10.6084/m9.figshare.25040609.v1
title: Source Data

description: Source Data of manuscript and supplementary information.
DOI: 10.5281/zenodo.10065216
title: Source data for 'Stripped-envelope supernova light curves argue for central engine activity'

description: This repository holds the source data and plotting routines for the figures of the article 'Stripped-envelope supernova light curves argue for central engine activity'.

source_data.zip holds the source data.

python_routines.zip holds the plotting routines.

figures.zip holds the resulting figures.

 

Requirements to execute the plotting routines are:

Python 3.7.6

NumPy 1.19.4

Matplotlib 3.4.1

Pillow 7.0.0
DOI: 10.5281/zenodo.10550304
title: Source data for 'Stripped-envelope supernova light curves argue for central engine activity'

description: This repository holds the source data and plotting routines for the figures of the article 'Stripped-envelope supernova light curves argue for central engine activity'.

source_data.zip holds the source data.

python_routines.zip holds the plotting routines.

figures.zip holds the resulting figures.

 

Requirements to execute the plotting routines are:

Python 3.7.6

NumPy 1.19.4

Matplotlib 3.4.1

Pillow 7.0.0
DOI: 10.25345/c56688w1x
title: MassIVE MSV000093900 - Urine and plasma untargeted metabolomics of ambulatory and ventilated COVID-19 patients
title: We performed an untargeted metabolomic analysis of urine and plasma from COVID-19 patients and healthy subjects. Subcohorts include ambulatory and mechanically ventilated patients.
DOI: 10.60534/y2eyy-bg094
title: Evolutionary conserved and divergent responses to copper zinc superoxide dismutase inhibition in plants.

description: hosted on: https://git.nfdi4plants.org/projects/720
DOI: 10.5281/zenodo.10497401
title: Research Funding in the Middle East and North Africa:  Analyses of Acknowledgments in Scientific Publications (unified funders)

description: This dataset is the result of the unification of funder names acknowledged in scientific publications indexed in the Web of Science with at least one author affiliated to an institution located in the Middle East and North Africa.

This list contains 1,039 unified names of funders from the 22 MENA countries as of 16 March 2023 along with their type and country.
DOI: 10.5281/zenodo.8337085
title: Research Funding in the Middle East and North Africa:  Analyses of Acknowledgments in Scientific Publications (unified funders)

description: This dataset is the result of the unification of funder names acknowledged in scientific publications indexed in the Web of Science with at least one author affiliated to an institution located in the Middle East and North Africa.

This list contains 1,039 unified names of funders from the 22 MENA countries as of 16 March 2023 along with their type and country.
DOI: 10.6084/m9.figshare.24198891.v3
title: <b>Counting wheat heads using a simulation model</b>

description: Simulation wheat dataset contains 800 training images (simulated) ，50 validation images，330 (100 GWHD + 100 SDAU2021 + 30 SDAU2022 + 100 SDAU2023) test images.
DOI: 10.6084/m9.figshare.24198891.v4
title: <b>SDAU_Wheat_Simulation</b>

description: Simulation wheat dataset contains 800 training images (simulated) ，50 validation images，330 (100 GWHD + 100 SDAU2021 + 30 SDAU2022 + 100 SDAU2023) test images.
DOI: 10.5281/zenodo.10299648
title: Revolutionising Insect Biodiversity Monitoring with Cutting-Edge Sensors, Deep Learning, and Computer Vision
DOI: 10.5281/zenodo.10299649
title: Revolutionising Insect Biodiversity Monitoring with Cutting-Edge Sensors, Deep Learning, and Computer Vision
DOI: 10.5281/zenodo.10202760
title: Dataset_RNAseq_CDK4 regulates mitochondrial function and mediates calcium-induced cell death in breast cancer cells

description: This dataset is related to "CDK4 regulates mitochondrial function and mediates calcium-induced cell death in breast cancer cells". It includes RNA-sequencing data for CDK4-WT and CDK4-KO triple-ngative breast cancer cell MDA-MB-231
DOI: 10.5281/zenodo.10202761
title: Dataset_RNAseq_CDK4 regulates mitochondrial function and mediates calcium-induced cell death in breast cancer cells

description: This dataset is related to "CDK4 regulates mitochondrial function and mediates calcium-induced cell death in breast cancer cells". It includes RNA-sequencing data for CDK4-WT and CDK4-KO triple-ngative breast cancer cell MDA-MB-231
DOI: 10.5281/zenodo.10037543
title: Cadmium acute exposure induces perturbations of trace element levels in human mature adipocytes

description: AD-hMSCs were differentiated into adipocytes in 6-well plates and treated with CdCl2 (1 nM – 10 µM) in quintuplicates for 48 h. Trace element concentrations were measured in cells and cell medium by inductively coupled plasma mass spectrometry  for elementary quantification: aluminum, antimony, arsenic, bismuth, cadmium, chromium, cobalt, copper, lead, lithium, manganese, molybdenum, nickel, selenium, zinc.
DOI: 10.5281/zenodo.10037544
title: Cadmium acute exposure induces perturbations of trace element levels in human mature adipocytes

description: AD-hMSCs were differentiated into adipocytes in 6-well plates and treated with CdCl2 (1 nM – 10 µM) in quintuplicates for 48 h. Trace element concentrations were measured in cells and cell medium by inductively coupled plasma mass spectrometry  for elementary quantification: aluminum, antimony, arsenic, bismuth, cadmium, chromium, cobalt, copper, lead, lithium, manganese, molybdenum, nickel, selenium, zinc.
DOI: 10.6084/m9.figshare.25040768
title: Dataset for the ObesityIPD1 Manuscript

description: Data for IPD1
DOI: 10.6084/m9.figshare.25040768.v1
title: Dataset for the ObesityIPD1 Manuscript

description: Data for IPD1
DOI: 10.25345/c52f7k263
title: MassIVE MSV000093901 - GNPS Analysis of B61 and B615 20240122
title: We are dedicated to the application of molecular networking techniques to rapidly and efficiently search for structurally novel and unique citrulline analogues from the Cowberry plant.
DOI: 10.57932/bba3b3a3-e92e-4d90-92db-9b045684ed5d
title: SISMalp - Earthquake catalogue 1987-2023

description: See description in General Information
DOI: 10.4121/ec2fffe3-0bd7-4a7b-b477-74b25ad17983.v1
title: Data and code related to the publication: IAM research plays an influential role in IPCC assessments

description: We created this dataset and scripts with the research aim to analyze the influence of Integrated Assessment Modelling (IAM) research on Intergovernmental Panel of Climate Change (IPCC) reports. We analyzed the following research questions (Table 1):1.    Which IAM researchers have been cited in IPCC WG3 reports?2.    To what extent are IPCC WG3 reports based on IAM research?2.1. What share of IPCC WG3 references are authored by any IAM researcher individually?2.2. How much of the evidence base of IPCC WG3 reports is IAM research?2.2.1.    What share of IPCC WG3 references are authored by all IAM researchers together?2.2.2.    How sensitive are the results to different sample sizes of IAM researchers?2.3. How many IAM researchers are responsible for the majority of IAM research in IPCC reports?2.4. What share of IPCC WG3 references in each chapter are authored by IAM researchers?3.    To what extent are IPCC WG3 SPM statements based on IAM research?4.    How diverse is the sample of IAM research covered in IPCC WG3 reports?<br>RQs that can be answered using the same dataset:·     Who are the most cited researchers by IPCC WG3 reports? (Section 1)·     Which chapters act as knowledge bridges in IPCC reports? Which chapters are most commonly co-cited in the SPM? Which chapters are not well covered in the SPM? (Section 3)·     What share of evidence in IPCC WG3 reports is attributable to the top 30 most cited researchers? (Section 1 & 2.3)·     What is the distribution of affiliated institutes for IAM researchers who have been cited in IPCC WG3 reports? (Section 4) RQs that can be answered by modifying the script/files:·     Who are the most cited researchers in other reports (e.g. UNEP reports)? (Section 1)·     To what extent has research from another research field (e.g. nuclear energy research) been cited in IPCC WG3 reports? (Section 2.1, 2.2 & 2.4)·     To what extent has IAM research been covered in other reports (e.g. UNEP reports)? (Section 2.1, 2.2 & 2.4)·     How diverse is the IAM research covered in IPCC WG3 reports regarding ethnicity and academic experience level? (Section 4)<br>Check the documentation file for more details.
DOI: 10.6084/m9.figshare.25024415
title: <b>Jordanian Version of the Depression Anxiety Stress Scale (DASS-21)</b>

description: Jordanian version of the Depression Anxiety Stress Scale-21 (DASS-21)
DOI: 10.17909/pg4c-1737
title: PDRs4All

description: Observations obtained for the JWST Early Release Science Program PDRs4All: Radiative feedback from massive stars (ID 1288). Target: the Orion Bar. Instruments: NIRCAM + MIRI imaging, NIRSpec + MIRI IFU spectroscopy. 
For details, see Berné, Habart, Peeters & PDRs4All team 2022, PASP, 134, 1035, id.054301 (https://ui.adsabs.harvard.edu/abs/2022PASP..134e4301B/abstract)
DOI: 10.5281/zenodo.10550937
title: The code and data for paper "Reassessing Java Code Readability Models with a Human-Centered Approach"

description: The code and data for paper "Reassessing Java Code Readability Models with a Human-Centered Approach".
Please refer to README.md for detailed instructions.
DOI: 10.5281/zenodo.8339145
title: The code and data for paper "Reassessing Java Code Readability Models with a Human-Centered Approach"

description: The code and data for paper "Reassessing Java Code Readability Models with a Human-Centered Approach".
Please refer to README.md for detailed instructions.
DOI: 10.5281/zenodo.8339146
title: The code and data for paper "Reassessing Java Code Readability Models with a Human-Centered Approach"

description: The code and data for paper "Reassessing Java Code Readability Models with a Human-Centered Approach".<br> Please refer to README.md for detailed instructions.
DOI: 10.5281/zenodo.8345521
title: The code and data for paper "Reassessing Java Code Readability Models with a Human-Centered Approach"

description: The code and data for paper "Reassessing Java Code Readability Models with a Human-Centered Approach".<br> Please refer to README.md for detailed instructions.
DOI: 10.5281/zenodo.10550924
title: Demonstration of CLASH - Climate-responsive Land Allocation model with carbon Storage and Harvests - Result data and data analysis scripts

description: CLASH code, Data + Analysis Package accompanying the CLASH Demonstration inCLASH - Climate-responsive Land Allocation model with carbon Storage and HarvestsSource Code: https://zenodo.org/records/8271846   and    https://github.com/tekholm/CLASH The CLASH GAMS code includes only the Wrapper version suitable for automaticall running multiple sceanrios (CLASH_Wrapper - Iterator.gms) and the bat file to start the runs (CLASH_runs.bat).

The Data comprises 20 GDX files for the different demand scenarios: CLASH_iterator_*******.gdx



demand variations of either wood products ("wood"), food crops ("crop"), bioenergy crops ("bioE") or animal products ("anim")

demand variation extent of either baseline ("+00"), +10% or -10% compared to baseline demand in 2100 ("+10" or "-10"), or  +50% or -50% compared to baseline demand in 2100 ("+50" or "-50")


 The Data Analysis Kit is offered for python and comprises



YML file for environment dependencies ("CLASH_Demonstration_Env.yml")

GDX initialization file with many useful methods and dictionaries ("initialize_gdx_analysis.py")

Analysis file with many plots and further analysis which allow to reproduce the figures presented in the paper in ipython jupyter notebook format ("CLASH_Demo_20DemandScenarios.ipynb")


Please refer to the README file for additional information.
description: GDX files (aquired from GAMS program) need specialized package to read (e.g. for python: gdxpds).
DOI: 10.5281/zenodo.8270232
title: Demonstration of CLASH - Climate-responsive Land Allocation model with carbon Storage and Harvests - Result data and data analysis scripts

description: CLASH code, Data + Analysis Package accompanying the CLASH Demonstration inCLASH - Climate-responsive Land Allocation model with carbon Storage and HarvestsSource Code: https://zenodo.org/records/8271846   and    https://github.com/tekholm/CLASH The CLASH GAMS code includes only the Wrapper version suitable for automaticall running multiple sceanrios (CLASH_Wrapper - Iterator.gms) and the bat file to start the runs (CLASH_runs.bat).

The Data comprises 20 GDX files for the different demand scenarios: CLASH_iterator_*******.gdx



demand variations of either wood products ("wood"), food crops ("crop"), bioenergy crops ("bioE") or animal products ("anim")

demand variation extent of either baseline ("+00"), +10% or -10% compared to baseline demand in 2100 ("+10" or "-10"), or  +50% or -50% compared to baseline demand in 2100 ("+50" or "-50")


 The Data Analysis Kit is offered for python and comprises



YML file for environment dependencies ("CLASH_Demonstration_Env.yml")

GDX initialization file with many useful methods and dictionaries ("initialize_gdx_analysis.py")

Analysis file with many plots and further analysis which allow to reproduce the figures presented in the paper in ipython jupyter notebook format ("CLASH_Demo_20DemandScenarios.ipynb")


Please refer to the README file for additional information.
description: GDX files (aquired from GAMS program) need specialized package to read (e.g. for python: gdxpds).
DOI: 10.5281/zenodo.8270233
title: Demonstration of CLASH - Climate-responsive Land Allocation model with carbon Storage and Harvests - Result data and data analysis scripts

description: <strong>Data + Analysis Package</strong> accompanying the CLASH Demonstration in<br> CLASH - Climate-responsive Land Allocation model with carbon Storage and Harvests<br> Source Code: https://doi.org/10.5281/zenodo.8271846 The <strong>Data</strong> comprises 20 GDX files for the different demand scenarios:<em> CLASH_iterator_*******.gdx</em> demand variations of either wood products ("<em>wood</em>"), food crops ("<em>crop</em>"), bioenergy crops ("<em>bioE</em>") or animal products ("<em>anim</em>") demand variation extent of either baseline ("<em>+00</em>"), +10% or -10% compared to baseline demand in 2100 ("<em>+10</em>" or "<em>-10</em>"), or +50% or -50% compared to baseline demand in 2100 ("<em>+50</em>" or "<em>-50</em>") The <strong>Data Analysis Kit</strong> is offered for python and comprises YML file for environment dependencies ("<em>CLASH_Demonstration_Env.yml</em>") GDX initialization file with many useful methods and dictionaries ("<em>initialize_gdx_analysis.py</em>") Analysis file with many plots and further analysis which allow to reproduce the figures presented in the paper in ipython jupyter notebook format ("<em>CLASH_Demo_20DemandScenarios.ipynb</em>") Please refer to the <strong>README file </strong>for additional information.
description: GDX files (aquired from GAMS program) need specialized package to read (e.g. for python: gdxpds).
DOI: 10.5281/zenodo.8272900
title: Demonstration of CLASH - Climate-responsive Land Allocation model with carbon Storage and Harvests - Result data and data analysis scripts

description: <strong>Data + Analysis Package</strong> accompanying the CLASH Demonstration in<br> CLASH - Climate-responsive Land Allocation model with carbon Storage and Harvests<br> Source Code: https://doi.org/10.5281/zenodo.8271846 The <strong>Data</strong> comprises 20 GDX files for the different demand scenarios:<em> CLASH_iterator_*******.gdx</em> demand variations of either wood products ("<em>wood</em>"), food crops ("<em>crop</em>"), bioenergy crops ("<em>bioE</em>") or animal products ("<em>anim</em>") demand variation extent of either baseline ("<em>+00</em>"), +10% or -10% compared to baseline demand in 2100 ("<em>+10</em>" or "<em>-10</em>"), or +50% or -50% compared to baseline demand in 2100 ("<em>+50</em>" or "<em>-50</em>") The <strong>Data Analysis Kit</strong> is offered for python and comprises YML file for environment dependencies ("<em>CLASH_Demonstration_Env.yml</em>") GDX initialization file with many useful methods and dictionaries ("<em>initialize_gdx_analysis.py</em>") Analysis file with many plots and further analysis which allow to reproduce the figures presented in the paper in ipython jupyter notebook format ("<em>CLASH_Demo_20DemandScenarios.ipynb</em>") Please refer to the <strong>README file </strong>for additional information.
description: GDX files (aquired from GAMS program) need specialized package to read (e.g. for python: gdxpds).
DOI: 10.5281/zenodo.10550472
title: Greek transport amphorae dataset for considering social network analysis: a Black Sea case study

description: Greek transport amphorae dataset in paper 'Considering Social Network Analysis: A Black Sea case study investigating trade dynamics in the Ancient Greek World' by H Bartlet Balicki and J Rempel.
description: This paper presents the results of research conducted to investigate the contribution of network approaches when exploring past interaction and connectivity within trade, using Greek transport amphorae data. Using social network analysis (SNA), a tool used to investigate social structure, static amphorae distribution data are brought together in a relational and dynamic way. A specific dataset generated from amphorae data collected from nineteen sites around the Black Sea, between the seventh and first centuries BCE, was used in the SNA. The Black Sea was an integral part of the protoglobal ancient world, however, for historical reasons, this region has been secondary to the interests of western scholars. Using the Black Sea as a case study not only revealed patterns in trade dynamics in this region, but also served to bring Black Sea studies to the foreground when studying the ancient Mediterranean. SNA was conducted over two case studies, applying bipartite and co-occurrence network approaches. This approach transformed small and disparate datasets into a cohesive body of evidence, helping to reveal dynamic patterns within the dataset through network graphs and metrics. This research has provided a proof of concept for SNA as a tool that can be used to investigate patterns related to trade dynamics through transport amphorae distributions. The results help to understand nuances between methodological approaches to material culture networks investigating ancient trade and demonstrates how patterns revealed using SNA can encourage researchers to ask new and valuable questions about archaeological data.
DOI: 10.5281/zenodo.10550473
title: Greek transport amphorae dataset for considering social network analysis: a Black Sea case study

description: Greek transport amphorae dataset in paper 'Considering Social Network Analysis: A Black Sea case study investigating trade dynamics in the Ancient Greek World' by H Bartlet Balicki and J Rempel.
description: This paper presents the results of research conducted to investigate the contribution of network approaches when exploring past interaction and connectivity within trade, using Greek transport amphorae data. Using social network analysis (SNA), a tool used to investigate social structure, static amphorae distribution data are brought together in a relational and dynamic way. A specific dataset generated from amphorae data collected from nineteen sites around the Black Sea, between the seventh and first centuries BCE, was used in the SNA. The Black Sea was an integral part of the protoglobal ancient world, however, for historical reasons, this region has been secondary to the interests of western scholars. Using the Black Sea as a case study not only revealed patterns in trade dynamics in this region, but also served to bring Black Sea studies to the foreground when studying the ancient Mediterranean. SNA was conducted over two case studies, applying bipartite and co-occurrence network approaches. This approach transformed small and disparate datasets into a cohesive body of evidence, helping to reveal dynamic patterns within the dataset through network graphs and metrics. This research has provided a proof of concept for SNA as a tool that can be used to investigate patterns related to trade dynamics through transport amphorae distributions. The results help to understand nuances between methodological approaches to material culture networks investigating ancient trade and demonstrates how patterns revealed using SNA can encourage researchers to ask new and valuable questions about archaeological data.
DOI: 10.25381/cput.25040849
title: EMPOWER: Templates to support learning path development for growing digital/computational research skills

description: ESCALATOR is a programme hosted by the South African Centre for Digital Language Resources. We support the development of an active community of practice in #DigitalHumanities and #ComputationalSocialSciences in South Africa. One of the learning tracks of ESCALATOR - EMPOWER - specifically offers support for women in humanities and social sciences at South African research organisations who want to hone their digital/computational research skills. Through the EMPOWER track, we aim to build an online learning community to support women to adopt intentional learning strategies to enhance their digital/computational skills in their research. These templates are part of an 8-step programme that will run from May - December 2022. For more information please visit our website: https://escalator.sadilar.org/champions/empower
DOI: 10.25381/cput.25040849.v1
title: EMPOWER: Templates to support learning path development for growing digital/computational research skills

description: ESCALATOR is a programme hosted by the South African Centre for Digital Language Resources. We support the development of an active community of practice in #DigitalHumanities and #ComputationalSocialSciences in South Africa. One of the learning tracks of ESCALATOR - EMPOWER - specifically offers support for women in humanities and social sciences at South African research organisations who want to hone their digital/computational research skills. Through the EMPOWER track, we aim to build an online learning community to support women to adopt intentional learning strategies to enhance their digital/computational skills in their research. These templates are part of an 8-step programme that will run from May - December 2022. For more information please visit our website: https://escalator.sadilar.org/champions/empower
DOI: 10.34740/kaggle/dsv/7455645
title: COVID Vaccination in World (updated daily)
DOI: 10.34816/efa.archives.28712
title: Thasos-N87-106-Figurine en argile, fragment tête, face

description: Référence : N87-106<br />Publication(s) : ÉtThas XXI, pl. 40, fig. 1554<br />Domaine : Petite plastique<br />
DOI: 10.34816/efa.archives.28711
title: Thasos-N87-105-figurine argile fragment

description: Référence : N87-105<br />Publication(s) : Inédit<br />Domaine : Petite plastique<br />
DOI: 10.34816/efa.archives.28710
title: Thasos-N87-104-Figurine en argile, fragment tête femme, profil

description: Référence : N87-104<br />Publication(s) : ÉtThas XXI, pl. 39, fig. 1553<br />Domaine : Petite plastique<br />
DOI: 10.34816/efa.archives.28709
title: Thasos-N87-103-Figurine en argile, fragment tête femme, face

description: Référence : N87-103<br />Publication(s) : ÉtThas XXI, pl. 39, fig. 1553<br />Domaine : Petite plastique<br />