cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23639956.v1
title: Additional file 4 of A computational approach to optimising laccase-mediated polyethylene oxidation through carbohydrate-binding module fusion

description: Additional file 4. Construct Docking data.
DOI: 10.6084/m9.figshare.23639965
title: Additional file 2 of scQCEA: a framework for annotation and quality control report of single-cell RNA-sequencing data

description: Additional file 2: Supplementary file 2. To demonstrate the utility of scQCEA, we apply the workflow to the sixteen gene expression profiles of eight patients with metastatic melanoma, prepared from pre- and post-treatment experimental batches. You can find the QC interactive report at: https://github.com/isarnassiri/scQCEA/tree/Example-of-Application . Download and unzip the OGC_Interactive_QC_Report_P180121.zip file. You can open CLICK_ME.html file without using rStudio/R.
DOI: 10.6084/m9.figshare.23639965.v1
title: Additional file 2 of scQCEA: a framework for annotation and quality control report of single-cell RNA-sequencing data

description: Additional file 2: Supplementary file 2. To demonstrate the utility of scQCEA, we apply the workflow to the sixteen gene expression profiles of eight patients with metastatic melanoma, prepared from pre- and post-treatment experimental batches. You can find the QC interactive report at: https://github.com/isarnassiri/scQCEA/tree/Example-of-Application . Download and unzip the OGC_Interactive_QC_Report_P180121.zip file. You can open CLICK_ME.html file without using rStudio/R.
DOI: 10.5281/zenodo.8122922
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by John Kenneth Bartlett, http://www.wikidata.org/entity/Q21388596. 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/Q21388596
DOI: 10.21227/jqps-b433
title: Parameter estimation

description: The datasets are all EXCEL files, and the datasets include daily stock price changes of three listed companies from 2021.1.4 to 2021.12.31 and Shanghai banking borrowing rates from 2021.2.2 to 2021.12.28. The three listed companies are Xiaomi Group, Zijin Mining and Fuwei Film and TV, which are representative in their respective fields. Since most of the numerical simulation parameters are directly given artificially in the existing studies, which is not convincing. Therefore this dataset is used to calculate the parameters of the stochastic interest rate model and the mean reversion stock model as a way to enhance the persuasiveness of the article.
DOI: 10.17608/k6.auckland.23639865
title: <em> Descriptive Data for Dyadic Acoustic Properties and Joint Coordinated Engagement (JCE) score across Digital Conditions</em>

description: This table outlines all acoustic variables and Joint Coordinated Engagement (JCE) scores, including their mean and standard deviation. Additional abbreviations include: FF = face-to-face with a shared tablet, VC for video chat, Hz = Hertz, ST = semitone, prop of syll = proportion of syllable, syll = syllable, s = second, and dB = decibel.
DOI: 10.6073/pasta/ffbcda415bea1ec034896da5b6da51af
title: Jornada Basin LTER: Wireless meteorological station at NPP C-CALI site: 30-minute summary data: 2013 - ongoing

description: 30-minute summary data at NPP C-CALI met station. Average air temperature, relative humidity, wind speed and wind direction are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP C-CALI site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.17608/k6.auckland.23639865.v1
title: <em> Descriptive Data for Dyadic Acoustic Properties and Joint Coordinated Engagement (JCE) score across Digital Conditions</em>

description: This table outlines all acoustic variables and Joint Coordinated Engagement (JCE) scores, including their mean and standard deviation. Additional abbreviations include: FF = face-to-face with a shared tablet, VC for video chat, Hz = Hertz, ST = semitone, prop of syll = proportion of syllable, syll = syllable, s = second, and dB = decibel.
DOI: 10.6084/m9.figshare.23640115
title: Additional file 1 of Metabolomics analysis reveals changes related to pseudocyst formation induced by iron depletion in Trichomonas vaginalis

description: Additional file 1. File 1: The list of annotated compounds identified in the metabolomics analysis.
DOI: 10.6084/m9.figshare.23640115.v1
title: Additional file 1 of Metabolomics analysis reveals changes related to pseudocyst formation induced by iron depletion in Trichomonas vaginalis

description: Additional file 1. File 1: The list of annotated compounds identified in the metabolomics analysis.
DOI: 10.5281/zenodo.8122927
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Emil Barca, http://www.wikidata.org/entity/Q21341201. 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/Q21341201
DOI: 10.5281/zenodo.8122926
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Emil Barca, http://www.wikidata.org/entity/Q21341201. 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/Q21341201
DOI: 10.6073/pasta/82bcf4de2985341e6b485a3f72bf1f14
title: Jornada Basin LTER: Wireless meteorological station at NPP C-CALI site: Daily summary data: 2013 - ongoing

description: Daily summary data at NPP C-CALI met station. Average/maximum/minimum air temperature; average/maximum relative humidity and wind speed and average wind direction. These are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP C-CALI site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.6073/pasta/5f0cfa8e1bdcfc9841014f995140dfb1
title: Jornada Basin LTER: Wireless meteorological station at NPP C-CALI site: 30-minute soil volumetric water content data: 2013 - ongoing

description: 30-minute Soil Moisture data at NPP C-CALI met station. Collection of soil volumetric water content data at Jornada LTER NPP sites, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are measured every 30 minutes at an automated meteorological station installed at Jornada LTER NPP C-CALI site. Measurements are made every 30 minutes at 10 cm, 20 cm, and 30 cm soil depths. This is an ONGOING dataset.
DOI: 10.6073/pasta/1e03b281ccb736fea8761969af0e3246
title: Jornada Basin LTER: Wireless meteorological station at NPP C-CALI site: Daily average soil volumetric water content data: 2013 - ongoing

description: Daily average of 30-minute Volumetric Water Content at NPP C-CALI met station. Collection of soil volumetric water content data at Jornada LTER NPP sites, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are measured and calculated at an automated meteorological station installed at Jornada LTER NPP C-CALI site. The daily average at 3 soil depths is calculated from measurements made every 30 minutes at 10 cm, 20 cm, and 30 cm. This is an ONGOING dataset.
DOI: 10.5281/zenodo.8014499
title: A Global Lake/Reservoir Surface Extent Dataset (GLRSED)

description: Global lake/reservoir surface water extent is the basic input data for many studies. Although there are some datasets at present, there are problems such as incomplete or spatial inconsistency exist among them due to various reasons like different data sources and dynamic change characteristics of the surface water. Here, a new Global Lake/Reservoir Surface Extent Dataset (GLRSED) that contains spatial extent and basic attributes (e.g., name, area, lake type and source) of 2.17 million lakes/reservoirs was produced based on HydroLAKES, GRanD and OpenStreetMap. By spatially overlaying GLRSED with other auxiliary data, we identified mountain lakes, endorheic lakes, reservoirs, glacier-fed lakes and permafrost-fed lakes, etc. In addition, we calculated the Surface Water and Ocean Topography (SWOT) orbits passing through each lake. The dataset could provide basic data for global lake/reservoir monitoring, as well as the study on the impact of human actions and climate changes on lake/reservoir freshwater availability, etc.
description: This version is for peer-review.
description: {"references": ["Bai et al. (2023). A Global Lake/Reservoir Surface Extent Dataset (GLRSED): An integration of HydroLAKES, GRanD and OpenStreetMap. (under review))", "Altenau et al. (2021). The Surface Water and Ocean Topography (SWOT) Mission River Database (SWORD): A Global River Network for Satellite Data Products. Water Resources Research, 57(7), 1\u201315. https://doi.org/10.1029/2021WR030054", "Messager et al. (2016). Estimating the volume and age of water stored in global lakes using a geo-statistical approach. Nature Communications, 7: 13603. https://doi.org/10.1038/ncomms13603", "OpenStreetMap Contributors. (2022). Available online: https://www.openstreetmap.org (accessed on 12 December 2022)", "Lehner et al. (2011). High-resolution mapping of the world's reservoirs and dams for sustainable river-flow management. Frontiers in Ecology and the Environment, 9(9), 494\u2013502. https://doi.org/10.1890/100125", "Korner et al. (2017). A global inventory of mountains for bio-geographical applications. Alpine Botany, 1\u201315. https://doi.org/10.1007/s00035-016-0182-6", "Lehner et al. (2013). Global river hydrography and network routing: baseline data and new approaches to study the world's large river systems. HYDROLOGICAL PROCESSES, 2186(April), 2171\u20132186. https://doi.org/10.1002/hyp.9740", "Mulligan et al. (2020). GOODD, a global dataset of more than 38, 000 georeferenced dams. Scientific Data, 1\u20138. https://doi.org/10.1038/s41597-020-0362-5", "Wang et al. (2022). GeoDAR\u202f: georeferenced global dams and reservoirs dataset for bridging attributes and geolocations. Earth System Science Data, 14(April), 1869\u20131899. https://doi.org/10.5194/essd-14-1869-2022", "Rignot et al. (2014). Ice-Shelf Melting Around Antarctica. Science, 266(2013), 266\u2013270. https://doi.org/10.1126/science.1235798", "..."]}
DOI: 10.5281/zenodo.8121174
title: A Global Lake/Reservoir Surface Extent Dataset (GLRSED)

description: Global lake/reservoir surface water extent is the basic input data for many studies. Although there are some datasets at present, there are problems such as incomplete or spatial inconsistency exist among them due to various reasons like different data sources and dynamic change characteristics of the surface water. Here, a new Global Lake/Reservoir Surface Extent Dataset (GLRSED) that contains spatial extent and basic attributes (e.g., name, area, lake type and source) of 2.17 million lakes/reservoirs was produced based on HydroLAKES, GRanD and OpenStreetMap. By spatially overlaying GLRSED with other auxiliary data, we identified mountain lakes, endorheic lakes, reservoirs, glacier-fed lakes and permafrost-fed lakes, etc. In addition, we calculated the Surface Water and Ocean Topography (SWOT) orbits passing through each lake. The dataset could provide basic data for global lake/reservoir monitoring, as well as the study on the impact of human actions and climate changes on lake/reservoir freshwater availability, etc.
description: This version is for peer-review.
description: {"references": ["Bai et al. (2023). A Global Lake/Reservoir Surface Extent Dataset (GLRSED): An integration of HydroLAKES, GRanD and OpenStreetMap. (under review))", "Altenau et al. (2021). The Surface Water and Ocean Topography (SWOT) Mission River Database (SWORD): A Global River Network for Satellite Data Products. Water Resources Research, 57(7), 1\u201315. https://doi.org/10.1029/2021WR030054", "Messager et al. (2016). Estimating the volume and age of water stored in global lakes using a geo-statistical approach. Nature Communications, 7: 13603. https://doi.org/10.1038/ncomms13603", "OpenStreetMap Contributors. (2022). Available online: https://www.openstreetmap.org (accessed on 12 December 2022)", "Lehner et al. (2011). High-resolution mapping of the world's reservoirs and dams for sustainable river-flow management. Frontiers in Ecology and the Environment, 9(9), 494\u2013502. https://doi.org/10.1890/100125", "Korner et al. (2017). A global inventory of mountains for bio-geographical applications. Alpine Botany, 1\u201315. https://doi.org/10.1007/s00035-016-0182-6", "Lehner et al. (2013). Global river hydrography and network routing: baseline data and new approaches to study the world's large river systems. HYDROLOGICAL PROCESSES, 2186(April), 2171\u20132186. https://doi.org/10.1002/hyp.9740", "Mulligan et al. (2020). GOODD, a global dataset of more than 38, 000 georeferenced dams. Scientific Data, 1\u20138. https://doi.org/10.1038/s41597-020-0362-5", "Wang et al. (2022). GeoDAR\u202f: georeferenced global dams and reservoirs dataset for bridging attributes and geolocations. Earth System Science Data, 14(April), 1869\u20131899. https://doi.org/10.5194/essd-14-1869-2022", "Rignot et al. (2014). Ice-Shelf Melting Around Antarctica. Science, 266(2013), 266\u2013270. https://doi.org/10.1126/science.1235798", "..."]}
DOI: 10.5281/zenodo.8122946
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Mikuláš Valenčík, http://www.wikidata.org/entity/Q12771651. 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/Q12771651
DOI: 10.5281/zenodo.8122945
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Mikuláš Valenčík, http://www.wikidata.org/entity/Q12771651. 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/Q12771651
DOI: 10.5281/zenodo.8122950
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Edgard Verdick, http://www.wikidata.org/entity/Q49619626. 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/Q49619626
DOI: 10.5281/zenodo.8122949
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Edgard Verdick, http://www.wikidata.org/entity/Q49619626. 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/Q49619626
DOI: 10.6073/pasta/951d9d4135951647913ee8b6db74c91b
title: Jornada Basin LTER: Wireless meteorological station at NPP C-GRAV site: 5-minute summary wind and air temperature data: 2013 - ongoing

description: 5-minute summary data at NPP C-GRAV met station. Average air temperature, wind speed and wind direction are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP C-GRAV site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.5281/zenodo.8122956
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Federico Bernardo Vervoorst, http://www.wikidata.org/entity/Q18286714. 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/Q18286714
DOI: 10.5281/zenodo.8122955
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Federico Bernardo Vervoorst, http://www.wikidata.org/entity/Q18286714. 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/Q18286714
DOI: 10.5281/zenodo.8122960
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by David Viglierchio, http://www.wikidata.org/entity/Q114228421. 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/Q114228421
DOI: 10.5281/zenodo.8122959
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by David Viglierchio, http://www.wikidata.org/entity/Q114228421. 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/Q114228421
DOI: 10.5281/zenodo.8122962
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Constantin von Ettingshausen, http://www.wikidata.org/entity/Q55031155. 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/Q55031155
DOI: 10.5281/zenodo.8122961
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Constantin von Ettingshausen, http://www.wikidata.org/entity/Q55031155. 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/Q55031155
DOI: 10.57841/casdc.0001601
title: 中国能源植物数据集
DOI: 10.5281/zenodo.8122964
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Laura Wadsworth Everly, http://www.wikidata.org/entity/Q106629956. 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/Q106629956
DOI: 10.5281/zenodo.8122963
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Laura Wadsworth Everly, http://www.wikidata.org/entity/Q106629956. 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/Q106629956
DOI: 10.6073/pasta/104c1c8eac16d717b2858c6ea8ffef30
title: Jornada Basin LTER: Wireless meteorological station at NPP C-GRAV site: 1-hour summary data: 2013 - ongoing

description: Hourly summary data at NPP C-GRAV met station. Average/maximum/minimum air temperature; average relative humidity and wind direction; average/maximum wind speed. These are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP C-GRAV site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.5281/zenodo.8122966
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by David B. Wake, http://www.wikidata.org/entity/Q453814. 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/Q453814
DOI: 10.5281/zenodo.8122965
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by David B. Wake, http://www.wikidata.org/entity/Q453814. 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/Q453814
DOI: 10.5281/zenodo.8122968
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Erich Carl Walter, http://www.wikidata.org/entity/Q3056473. 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/Q3056473
DOI: 10.5281/zenodo.8122967
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Erich Carl Walter, http://www.wikidata.org/entity/Q3056473. 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/Q3056473
DOI: 10.5281/zenodo.8122970
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by John Brigham Ward, http://www.wikidata.org/entity/Q22113097. 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/Q22113097
DOI: 10.5281/zenodo.8122969
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by John Brigham Ward, http://www.wikidata.org/entity/Q22113097. 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/Q22113097