cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17608/k6.auckland.23528424
title: Estimates of estuarine Richardson numbers at different freshwater discharge and tidal range

description: Estimates of estuarine Richardson numbers at different freshwater discharge (q) and tidal range (tr) at Hobsonville (RiEH) and Stanley Bay (RiEN)
DOI: 10.17608/k6.auckland.23528424.v1
title: Estimates of estuarine Richardson numbers at different freshwater discharge and tidal range

description: Estimates of estuarine Richardson numbers at different freshwater discharge (q) and tidal range (tr) at Hobsonville (RiEH) and Stanley Bay (RiEN)
DOI: 10.5281/zenodo.8045270
title: Data release for the Open Biomedical Network Benchmark
DOI: 10.5281/zenodo.8045269
title: Data release for the Open Biomedical Network Benchmark
DOI: 10.6084/m9.figshare.23528397
title: This database is part of a comprehensive research that assesses quality of life, burnout, and anxiety among healthcare professionals and healthcare students.

description: QUALIDADE DE VIDA RELACIONADA À SAÚDE E DESENVOLVIMENTO DE INSTRUMENTOS Instituição de Execução: Universidade Federal da Bahia CNPJ: 15180714000104 Ação: Chamada CNPq Nº 4/2021 - Bolsas de Produtividade em Pesquisa - PQ.
DOI: 10.6084/m9.figshare.23528397.v1
title: This database is part of a comprehensive research that assesses quality of life, burnout, and anxiety among healthcare professionals and healthcare students.

description: QUALIDADE DE VIDA RELACIONADA À SAÚDE E DESENVOLVIMENTO DE INSTRUMENTOS Instituição de Execução: Universidade Federal da Bahia CNPJ: 15180714000104 Ação: Chamada CNPq Nº 4/2021 - Bolsas de Produtividade em Pesquisa - PQ.
DOI: 10.34740/kaggle/dsv/5937260
title: Statistics of NBA PlayOffs 2023
DOI: 10.25919/tvd2-qa42
title: Parkes observations for project P1194 semester 2023APRS_14

description: Among nearly 2000 unidentified gamma-ray sources detected with the Fermi Gamma Ray Space Telescope, there are potentially many pulsars. The ultra-wide frequency coverage will enable us to detect MSPs with steep spectrum and avoid difficulties caused by interstellar scintillation and dispersive and scattering smearing. We propose to revisit highly ranked pulsar candidates that remain unidentified. Such a pilot survey will help us designing future searches of the coming 4FGL gamma-ray source catalog using the UWL. We select 11 targets and request 12 hour time in total.
DOI: 10.25919/pss7-rn54
title: Parkes observations for project P1194 semester 2023APRS_15

description: Among nearly 2000 unidentified gamma-ray sources detected with the Fermi Gamma Ray Space Telescope, there are potentially many pulsars. The ultra-wide frequency coverage will enable us to detect MSPs with steep spectrum and avoid difficulties caused by interstellar scintillation and dispersive and scattering smearing. We propose to revisit highly ranked pulsar candidates that remain unidentified. Such a pilot survey will help us designing future searches of the coming 4FGL gamma-ray source catalog using the UWL. We select 11 targets and request 12 hour time in total.
DOI: 10.6084/m9.figshare.23528493
title: Supplementary Table S4.1 The accession numbers and CRISPR types of the RefSeq Salmonella genomes

description: The accession numbers and CRISPR types of the RefSeq Salmonella genomes
DOI: 10.6084/m9.figshare.23528493.v1
title: Supplementary Table S4.1 The accession numbers and CRISPR types of the RefSeq Salmonella genomes

description: The accession numbers and CRISPR types of the RefSeq Salmonella genomes
DOI: 10.5281/zenodo.8045287
title: Deep decarbonisation pathways of the energy system in times of unprecedented uncertainty in the energy sector. Energy Policy (2023). Supplementary Information on Assumptions and Results

description: This dataset supplements the article with the title "Deep decarbonisation pathways of the energy system in times of unprecedented uncertainty in the energy sector", published in Energy Policy. The dataset contains the following: The Latin Hypercube Sample of the multipliers that are applied to the key input parameters of ETSAP-TIAM in order to generate 1000 different states of the world regarding economic and demographic growth, energy resources potentials, energy technology costs, climate sensitivity and radiative forcing, LULUCF CO<sub>2</sub> sink potential, CO<sub>2</sub> sequestration potential, and decoupling between energy consumption and economic development. The multipliers are sampled from the underlying probability distributions described in the article. The results (at the global scale) from four scenario families for each one of the 1000 wofld states. These scenario families are: BASE_SSP2: Describes the development of the global energy system consistent with recent trends and policies. 2C_SSP2: Introduces to the BASE_SSP2 scenario a global constraint of 2 °C as the maximum post-industrial temperature change from 2020 to 2100. 2C_SSP2_DA30: Delayed climate action. The climate change mitigation policies of 2C_SSP2 start in 2030. 1p5c_OS_SSP2: Introduces to the BASE_SSP2 scenario a global constraint of 1.5 °C as the maximum post-industrial temperature change from 2020 onwards to 2100 Key results included in the dataset are: Temperature change, Radiative Forcing, GHG concentrations, CO2 emissions, Marginal abatement cost, Electricity Supply Primary Energy Consumption, and Annual Total Global Energy System Cost. The dataset also includes sectoral results regarding energy consumption and use, such as shares of different electric uses, shares of hydrogen consumption in end-use sectors, hydrogen supply, Demand electrification by sector, Renewable energy consumption by sector, Alternative fuels consumption in transport, and Total final energy consumption by sector.
DOI: 10.5281/zenodo.8045286
title: Deep decarbonisation pathways of the energy system in times of unprecedented uncertainty in the energy sector. Energy Policy (2023). Supplementary Information on Assumptions and Results

description: This dataset supplements the article with the title "Deep decarbonisation pathways of the energy system in times of unprecedented uncertainty in the energy sector", published in Energy Policy. The dataset contains the following: The Latin Hypercube Sample of the multipliers that are applied to the key input parameters of ETSAP-TIAM in order to generate 1000 different states of the world regarding economic and demographic growth, energy resources potentials, energy technology costs, climate sensitivity and radiative forcing, LULUCF CO<sub>2</sub> sink potential, CO<sub>2</sub> sequestration potential, and decoupling between energy consumption and economic development. The multipliers are sampled from the underlying probability distributions described in the article. The results (at the global scale) from four scenario families for each one of the 1000 wofld states. These scenario families are: BASE_SSP2: Describes the development of the global energy system consistent with recent trends and policies. 2C_SSP2: Introduces to the BASE_SSP2 scenario a global constraint of 2 °C as the maximum post-industrial temperature change from 2020 to 2100. 2C_SSP2_DA30: Delayed climate action. The climate change mitigation policies of 2C_SSP2 start in 2030. 1p5c_OS_SSP2: Introduces to the BASE_SSP2 scenario a global constraint of 1.5 °C as the maximum post-industrial temperature change from 2020 onwards to 2100 Key results included in the dataset are: Temperature change, Radiative Forcing, GHG concentrations, CO2 emissions, Marginal abatement cost, Electricity Supply Primary Energy Consumption, and Annual Total Global Energy System Cost. The dataset also includes sectoral results regarding energy consumption and use, such as shares of different electric uses, shares of hydrogen consumption in end-use sectors, hydrogen supply, Demand electrification by sector, Renewable energy consumption by sector, Alternative fuels consumption in transport, and Total final energy consumption by sector.
DOI: 10.17608/k6.auckland.23528562
title: The locations, speed and time of drifters launched in April and May experiments

description: The locations, speed and time of drifters launched in April and May experiments (raw data and grid data): numbers: t+number, order of drifters (see Chen et al., 2022 Appendix table) April 28th launched: #2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21 May 6th launched: #4,7,8,9,10,11,12,13,14,16,17,18,19,20,21 HCT: Henderson Creek (drifter launched locations) HIT:Herald Island (drifter launched locations) lat:latitude lon:longitude latHG,lonHG: lon and lat of Hauraki Gulf t: time t...h: time since launching in hours v: speed in m/s raw:raw data, sampling period is 5 seconds grid: data averaged every 5 min
DOI: 10.17608/k6.auckland.23528562.v1
title: The locations, speed and time of drifters launched in April and May experiments

description: The locations, speed and time of drifters launched in April and May experiments (raw data and grid data): numbers: t+number, order of drifters (see Chen et al., 2022 Appendix table) April 28th launched: #2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21 May 6th launched: #4,7,8,9,10,11,12,13,14,16,17,18,19,20,21 HCT: Henderson Creek (drifter launched locations) HIT:Herald Island (drifter launched locations) lat:latitude lon:longitude latHG,lonHG: lon and lat of Hauraki Gulf t: time t...h: time since launching in hours v: speed in m/s raw:raw data, sampling period is 5 seconds grid: data averaged every 5 min
DOI: 10.5281/zenodo.8045333
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Tokiharu Abe, http://www.wikidata.org/entity/Q2715938. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q2715938
DOI: 10.5281/zenodo.8045332
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Tokiharu Abe, http://www.wikidata.org/entity/Q2715938. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q2715938
DOI: 10.6084/m9.figshare.23528436
title: Data repository of the article titled "Morphological, structural, chemical, vibrational, thermal, pasting, and functional changes in pea starch during germination process"

description: In this data repository you will find the raw data of the response variables measured on pea starch with different germination time.
DOI: 10.6084/m9.figshare.23528436.v1
title: Data repository of the article titled "Morphological, structural, chemical, vibrational, thermal, pasting, and functional changes in pea starch during germination process"

description: In this data repository you will find the raw data of the response variables measured on pea starch with different germination time.
DOI: 10.5281/zenodo.8045337
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Benaiah Whitley Adkin, http://www.wikidata.org/entity/Q113612098. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q113612098
DOI: 10.5281/zenodo.8045336
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Benaiah Whitley Adkin, http://www.wikidata.org/entity/Q113612098. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q113612098
DOI: 10.5281/zenodo.8045339
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Christiane Amédégnato, http://www.wikidata.org/entity/Q21340473. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q21340473
DOI: 10.5281/zenodo.8045338
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Christiane Amédégnato, http://www.wikidata.org/entity/Q21340473. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q21340473
DOI: 10.34740/kaggle/dsv/5943097
title: Youtube Trending Video - Taiwan & Hong Kong
DOI: 10.5281/zenodo.8045343
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Johann Daniel Anisits, http://www.wikidata.org/entity/Q105612136. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q105612136
DOI: 10.5281/zenodo.8045342
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Johann Daniel Anisits, http://www.wikidata.org/entity/Q105612136. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q105612136
DOI: 10.5281/zenodo.8045345
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Nelson Annandale, http://www.wikidata.org/entity/Q3337949. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q3337949
DOI: 10.5281/zenodo.8045344
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Nelson Annandale, http://www.wikidata.org/entity/Q3337949. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q3337949
DOI: 10.5281/zenodo.8045353
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Peter D. Ashlock, http://www.wikidata.org/entity/Q21388313. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q21388313
DOI: 10.5281/zenodo.7996591
title: Groceries Tracking System - Smart Homes

description: It's a sample data set of home groceries data set used for "Vision-Based Automatic Groceries Tracking System - Smart Homes" project. It contains labeled home groceries shelving, store groceries shelving, and groceries pictures.
DOI: 10.5281/zenodo.7996592
title: Groceries Tracking System - Smart Homes

description: It's a sample data set of home groceries data set used for "Vision-Based Automatic Groceries Tracking System - Smart Homes" project. It contains labeled home groceries shelving, store groceries shelving, and groceries pictures.
DOI: 10.5281/zenodo.8045361
title: Groceries Tracking System - Smart Homes

description: It's a sample data set of home groceries data set used for "Vision-Based Automatic Groceries Tracking System - Smart Homes" project. It contains labeled home groceries shelving, store groceries shelving, and groceries pictures.
DOI: 10.34740/kaggle/dsv/5939645
title: student mat pass or fail
DOI: 10.5281/zenodo.7946790
title: Identification of genetic markers associated with clinical response of ketose treatment in Holstein cows

description: <strong>Additional File</strong> <strong>1</strong>- <strong>Table S1.</strong> Mean and standard deviations of blood BHB concentration (mmol/L) for groups of cows classified as Chronic, Cured, Recurrent, and Severe considering their responses to the administration of propylene glycol and 50% dextrose to control hyperketonemia between 1st and 4nd week of lactation. <strong>Additional File</strong> <strong>2</strong>- <strong>Spreadsheet S1.</strong> List of genes, SNP and their functional consequences associated with ketosis identified through Cured vs Resistant contrast, <strong>Spreadsheet S2.</strong> List of genes, SNP and their functional consequences associated with ketosis identified through Severe vs Resistant contrast. <strong>Spreadsheet S3.</strong> List of genes, SNP and their functional consequences associated with ketosis identified through Chronic vs Resistant contrast,<strong> Spreadsheet S4.</strong> List of genes, SNP and their functional consequences associated with ketosis identified through Recurrent vs Resistant contrast.<strong> </strong> <strong>Additional File</strong> <strong>3</strong>-<strong> Spreadsheet S1. </strong>Pathways associated with genes identified to Cured vs Resitant contrast, <strong>Spreadsheet S2. </strong>Pathways associated with genes identified to Severe vs Resitant contrast,<strong> Spreadsheet S3. </strong>Pathways associated with genes identified to Chronic vs Resitant contrast,<strong> Spreadsheet S4. </strong>Pathways associated with genes identified to Recurrent vs Resitant contrast,<strong> Spreadsheet S6.</strong> Pathways associated with genes set identified among 4 analyzed contrasts (Cured, Severe, Chronic and Recurrent compared with Resistant, respectively), <strong>Spreadsheet S7.</strong> Protein Interaction network associated with genes set identified among 4 analyzed contrasts (Cured, Severe, Chronic and Recurrent compared with Resistant, respectively). <strong>Additional File</strong> <strong>4</strong>- <strong>Spreadsheet S1.</strong> Go terms and QTL associated with genes and SNPs related to ketosis identified through Cured vs Resistant contrast analysis, <strong>Spreadsheet S2.</strong> Go terms and QTL associated with genes and SNPs related to ketosis identified through Severe vs Resistant contrast, <strong>Spreadsheet S3.</strong> Go terms and QTL associated with genes and SNPs related to ketosis identified through Chronic vs Resistant contrast, <strong>Spreadsheet S4.</strong> Go terms and QTL associated with genes and SNPs related to ketosis identified through Recurrent vs Resistant contrast.
DOI: 10.5281/zenodo.7946789
title: Identification of genetic markers associated with clinical response of ketose treatment in Holstein cows

description: <strong>Additional File</strong> <strong>1</strong>- <strong>Table S1.</strong> Mean and standard deviations of blood BHB concentration (mmol/L) for groups of cows classified as Chronic, Cured, Recurrent, and Severe considering their responses to the administration of propylene glycol and 50% dextrose to control hyperketonemia between 1st and 4nd week of lactation. <strong>Additional File</strong> <strong>2</strong>- <strong>Spreadsheet S1.</strong> List of genes, SNP and their functional consequences associated with ketosis identified through Cured vs Resistant contrast, <strong>Spreadsheet S2.</strong> List of genes, SNP and their functional consequences associated with ketosis identified through Severe vs Resistant contrast. <strong>Spreadsheet S3.</strong> List of genes, SNP and their functional consequences associated with ketosis identified through Chronic vs Resistant contrast,<strong> Spreadsheet S4.</strong> List of genes, SNP and their functional consequences associated with ketosis identified through Recurrent vs Resistant contrast.<strong> </strong> <strong>Additional File</strong> <strong>3</strong>-<strong> Spreadsheet S1. </strong>Pathways associated with genes identified to Cured vs Resitant contrast, <strong>Spreadsheet S2. </strong>Pathways associated with genes identified to Severe vs Resitant contrast,<strong> Spreadsheet S3. </strong>Pathways associated with genes identified to Chronic vs Resitant contrast,<strong> Spreadsheet S4. </strong>Pathways associated with genes identified to Recurrent vs Resitant contrast,<strong> Spreadsheet S6.</strong> Pathways associated with genes set identified among 4 analyzed contrasts (Cured, Severe, Chronic and Recurrent compared with Resistant, respectively), <strong>Spreadsheet S7.</strong> Protein Interaction network associated with genes set identified among 4 analyzed contrasts (Cured, Severe, Chronic and Recurrent compared with Resistant, respectively). <strong>Additional File</strong> <strong>4</strong>- <strong>Spreadsheet S1.</strong> Go terms and QTL associated with genes and SNPs related to ketosis identified through Cured vs Resistant contrast analysis, <strong>Spreadsheet S2.</strong> Go terms and QTL associated with genes and SNPs related to ketosis identified through Severe vs Resistant contrast, <strong>Spreadsheet S3.</strong> Go terms and QTL associated with genes and SNPs related to ketosis identified through Chronic vs Resistant contrast, <strong>Spreadsheet S4.</strong> Go terms and QTL associated with genes and SNPs related to ketosis identified through Recurrent vs Resistant contrast.
DOI: 10.5281/zenodo.7020797
title: Cloud masks of GAN-CDM based models

description: This is the result of GAN-CDM based models reported in Li, J., Wu, Z., Sheng, Q., Wang, B., Hu, Z., Zheng, S., Camps-Vall, G., Molinier, M., 2022. A hybrid generative adversarial network for weakly-supervised cloud detection in multispectral images. Remote Sens. Environ. 280, 113197. https://doi.org/10.1016/j.rse.2022.113197 The file name means: dataset-binary mask under certain threshold-modelversion
DOI: 10.5281/zenodo.7020796
title: Cloud masks of GAN-CDM based models

description: This is the result of GAN-CDM based models reported in Li, J., Wu, Z., Sheng, Q., Wang, B., Hu, Z., Zheng, S., Camps-Vall, G., Molinier, M., 2022. A hybrid generative adversarial network for weakly-supervised cloud detection in multispectral images. Remote Sens. Environ. 280, 113197. https://doi.org/10.1016/j.rse.2022.113197 The file name means: dataset-binary mask under certain threshold-modelversion
DOI: 10.5281/zenodo.8035347
title: WHUS2-CRv a global thin cloud removal dataset for Sentinel-2 images——Train part

description: The training parts of WHUS2-CRv dataset in which the paired cloud and cloud-free Sentinel-2 images are from different regions of the world. The types of land cover are rich and the acquisition dates of the experimental data cover a long time period (from 2015 to 2020) and all seasons. The validation and testing parts can be found on: https://doi.org/10.5281/zenodo.8035349 If you use this dataset for your research, please cite us accordingly: #Reference: [1]J. Li, Z. W, Z. Hu, J. Z, M. Li, L. Mo and M. Molinier, “Thin cloud removal in optical remote sensing images based on generative adversarial networks and physical model of cloud distortion,” ISPRS J. Photogramm. Remote Sens., vol. 166, pp. 373-389, Aug. 2020,http://doi.org/10.1016/j.isprsjprs.2020.06.021. [2]J. Li, Z. Wu, Z. Hu, Z. Li, Y. Wang, and M. Molinier, “Deep learning based thin cloud removal fusing vegetation red edge and short wave infrared spectral information for Sentinel-2A imagery,” Remote Sens., vol. 13, no. 1, p. 157, Jan. 2021, http://doi.org/10.3390/rs13010157. [3]J. Li, Y. Zhang, Q. Sheng, Z. Wu, B. Wang, Z. Hu, G. Shen, M. Schmitt, M. Molinier, “Thin Cloud Removal Fusing Full Spectral and Spatial Features for Sentinel-2 Imagery,” in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 8759-8775, 2022, http://doi.org/10.1109/JSTARS.2022.3211857.