cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4767926
title: Soil, Landcover and DEM database for Ireland to be used with SWAT model

description: Soil Water Assessment Tool (SWAT) are being extensively used by hydrologists and environmentalists to simulate river discharge and water quality at watershed/basin scale across the world. This database contains generates soil and landcover database that can be used for the SWAT modelling for river basins located in Ireland. The soil database has been created based on soil testing experiments conducted during the STRIVE programme by Teagasc and Environmental Protection Agency Ireland. The landcover database has been created by relating the landcover data obtained from the CORINE database with the default SWAT landcover database. A newly created SWAT geodatabase has been generated that can be used as a replacement from the default SWAT database for simulating runoff and water quality at river basins in Ireland. In the data folder, the following data and databases are available: i) SWAT2012.mdb, ii) DEM_IRL_ITM.tif, iii) LULC2018_IRL_ITM.tif, iv) lulc_classes.txt, v) SOIL_IRL_ITM.tif, vi) soillookup.txt, and vii) WFD_Rivers_ITM.shp and WFD_SubBasins_ITM.shp inside WFD_River_Subbasin.rar. The newly developed soil database is integrated into SWAT geodatabase SWAT2012.mdb. Once the SWAT model is set up, the default SWAT2012.mdb needs to be replaced by the newly created SWAT2012.mdb before processing the model development. The filled DEM for Ireland (DEM_IRL_ITM.tif) can be used to generate the stream network, delineate watershed boundary and create the basin slope. The river network and the sub-watersheds/subbasins for Ireland were developed by the Environmental Protection Agency Ireland under Water Framework Directive (WFD) as open data. The river and subbasin network were provided as shapefile (WFD_Rivers_ITM.shp and WFD_SubBasins_ITM.shp). The landcover map for Ireland (LULC2018_IRL_ITM.tif) has the available 35 landcover classes, while the soil map (SOIL_IRL_ITM.tif) has 69 soil classes. It should be noted that SWAT model requires the DEM, landcover and soil maps in a projected co-ordinate system. All the maps and shapefiles in the database has been projected into Irish Transverse Mercator co-ordinate system with an EPSG code of 2157. The landcover map should be reclassified using the landcover classes shown in landcover lookup table (<strong><em>lulc_classes.txt</em></strong>) in order to relate the CORINE landcover classifications with landcover classes recognized by the SWAT model. Similarly, the soil map needs to be reclassified using the soil lookup table (<strong><em>soillookup.txt</em></strong>).
DOI: 10.5281/zenodo.4767925
title: Soil, Landcover and DEM database for Ireland to be used with SWAT model

description: Soil Water Assessment Tool (SWAT) are being extensively used by hydrologists and environmentalists to simulate river discharge and water quality at watershed/basin scale across the world. This database contains generates soil and landcover database that can be used for the SWAT modelling for river basins located in Ireland. The soil database has been created based on soil testing experiments conducted during the STRIVE programme by Teagasc and Environmental Protection Agency Ireland. The landcover database has been created by relating the landcover data obtained from the CORINE database with the default SWAT landcover database. A newly created SWAT geodatabase has been generated that can be used as a replacement from the default SWAT database for simulating runoff and water quality at river basins in Ireland. In the data folder, the following data and databases are available: i) SWAT2012.mdb, ii) DEM_IRL_ITM.tif, iii) LULC2018_IRL_ITM.tif, iv) lulc_classes.txt, v) SOIL_IRL_ITM.tif, vi) soillookup.txt, and vii) WFD_Rivers_ITM.shp and WFD_SubBasins_ITM.shp inside WFD_River_Subbasin.rar. The newly developed soil database is integrated into SWAT geodatabase SWAT2012.mdb. Once the SWAT model is set up, the default SWAT2012.mdb needs to be replaced by the newly created SWAT2012.mdb before processing the model development. The filled DEM for Ireland (DEM_IRL_ITM.tif) can be used to generate the stream network, delineate watershed boundary and create the basin slope. The river network and the sub-watersheds/subbasins for Ireland were developed by the Environmental Protection Agency Ireland under Water Framework Directive (WFD) as open data. The river and subbasin network were provided as shapefile (WFD_Rivers_ITM.shp and WFD_SubBasins_ITM.shp). The landcover map for Ireland (LULC2018_IRL_ITM.tif) has the available 35 landcover classes, while the soil map (SOIL_IRL_ITM.tif) has 69 soil classes. It should be noted that SWAT model requires the DEM, landcover and soil maps in a projected co-ordinate system. All the maps and shapefiles in the database has been projected into Irish Transverse Mercator co-ordinate system with an EPSG code of 2157. The landcover map should be reclassified using the landcover classes shown in landcover lookup table (<strong><em>lulc_classes.txt</em></strong>) in order to relate the CORINE landcover classifications with landcover classes recognized by the SWAT model. Similarly, the soil map needs to be reclassified using the soil lookup table (<strong><em>soillookup.txt</em></strong>).
DOI: 10.21227/9wnt-8v86
title: Collaborative Robots Dataset for Energy Consumption Modeling

description: These datasets collect sensorial information about collaborative robot functioning. We recorded information from two different kinds of robots UR3e and UR10e. This dataset is used for data-driving modeling of the power consumption of cobots. The datasets have the following information: recording time, trajectory ID, joints' positions, joints' velocities, motor currents, motor torques, motor voltages, end effector position, force and momentum exerted to the end effector, current and voltage of the robot.
DOI: 10.5281/zenodo.3941173
title: IODP Expedition 372, Hole U1520B - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 372:
DOI: 10.5281/zenodo.4767945
title: Raw data for sheep population in Ujimuqin grassland, Inner Mongolia

description: This dataset is the raw data for the article titled "density dependence underpins decoupling of livestock population and plant biomass in intensive grazing systems". This paper is accepted by Ecological Applications on May 15, 2021. The corresponding author is Ang Li, an ecologist in the Institute of Botany, China Academy of Sciences. The Email of Ang Li is lyons@ibcas.ac.cn; lyonsu47@gmail.com. After finished this study, we have founded by the China Academy of Sciences to collect the nomadic livestock data for all the China rangeland area. We will finish the project in 2025. Then, we will update this dataset, if we get the permission of China government. Data description can be found in the method section of the article. <br> Table head means:<br> local : The sumu (three village) name in Chinese.<br> No.: The sumu id in this study.<br> Year: The data year from 1961-2005.<br> Nt: The population number in the t year.<br> Nt-1: The population in the t-1 year.<br> Mort: Mortality of sheep population in the t year.<br> Br: Brith rate of sheep population in the t year.<br> Area: The area of the given sumu.<br> Wi: Winter harshness index of t year.<br> Gr: Growth rate of sheep population in the t year.<br> Den: Sheep density in the t year.<br> Morts: Standardized mortality of sheep population in the t year.<br> Brs: Standardized birthrate of sheep population in the t year. <br> Grs: Standardized growth rate of sheep population in the t year.<br> Dens: Standardized population density of sheep in the t year.
DOI: 10.5281/zenodo.3941172
title: IODP Expedition 372, Hole U1520B - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 372:
DOI: 10.5281/zenodo.4767944
title: Raw data for sheep population in Ujimuqin grassland, Inner Mongolia

description: This dataset is the raw data for the article titled "density dependence underpins decoupling of livestock population and plant biomass in intensive grazing systems". This paper is accepted by Ecological Applications on May 15, 2021. The corresponding author is Ang Li, an ecologist in the Institute of Botany, China Academy of Sciences. The Email of Ang Li is lyons@ibcas.ac.cn; lyonsu47@gmail.com. After finished this study, we have founded by the China Academy of Sciences to collect the nomadic livestock data for all the China rangeland area. We will finish the project in 2025. Then, we will update this dataset, if we get the permission of China government. Data description can be found in the method section of the article. <br> Table head means:<br> local : The sumu (three village) name in Chinese.<br> No.: The sumu id in this study.<br> Year: The data year from 1961-2005.<br> Nt: The population number in the t year.<br> Nt-1: The population in the t-1 year.<br> Mort: Mortality of sheep population in the t year.<br> Br: Brith rate of sheep population in the t year.<br> Area: The area of the given sumu.<br> Wi: Winter harshness index of t year.<br> Gr: Growth rate of sheep population in the t year.<br> Den: Sheep density in the t year.<br> Morts: Standardized mortality of sheep population in the t year.<br> Brs: Standardized birthrate of sheep population in the t year. <br> Grs: Standardized growth rate of sheep population in the t year.<br> Dens: Standardized population density of sheep in the t year.
DOI: 10.5281/zenodo.3941163
title: IODP Expedition 372, Hole U1518A - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 372: Creeping Gas Hydrate Slides and Hikurangi Subduction Margin
DOI: 10.5281/zenodo.3941162
title: IODP Expedition 372, Hole U1518A - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 372: Creeping Gas Hydrate Slides and Hikurangi Subduction Margin
DOI: 10.5281/zenodo.3941165
title: IODP Expedition 372, Hole U1518B - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 372: Creeping Gas Hydrate Slides and Hikurangi Subduction Margin
DOI: 10.5281/zenodo.3941164
title: IODP Expedition 372, Hole U1518B - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 372: Creeping Gas Hydrate Slides and Hikurangi Subduction Margin
DOI: 10.5281/zenodo.4767935
title: Global database of U-series dated fossil coral sea-level indicators for the Last Interglacial period

description: This database is a global compilation of age, elevation, and relevant metadata for U-series fossil coral sea-level indicators from the Last Interglacial period (MIS 5e). It has been exported from the World Atlas of Last Interglacial Shorelines (WALIS) database (https://warmcoasts.eu/world-atlas.html).
description: Also supported by NSF grant #1702740.
DOI: 10.5281/zenodo.3941167
title: IODP Expedition 372, Hole U1519A - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 372: Creeping Gas Hydrate Slides and Hikurangi Subduction Margin
DOI: 10.15468/3hxyca
title: The West and Central African species of Vepris Comm. ex A. Juss. (Rutaceae) with simple or unifoliolate leaves, including two new combinations

description: This dataset contains the digitized treatments in Plazi based on the original journal article Lachenaud, Olivier, Onana, Jean-Michel (2021): The West and Central African species of Vepris Comm. ex A. Juss. (Rutaceae) with simple or unifoliolate leaves, including two new combinations. Adansonia (3) 43 (10): 107-116, DOI: 10.5252/adansonia2021v43a10
DOI: 10.5281/zenodo.3941166
title: IODP Expedition 372, Hole U1519A - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 372: Creeping Gas Hydrate Slides and Hikurangi Subduction Margin
DOI: 10.5281/zenodo.3941171
title: IODP Expedition 372, Hole U1520A - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 372: Creeping Gas Hydrate Slides and Hikurangi Subduction Margin
DOI: 10.5281/zenodo.3941170
title: IODP Expedition 372, Hole U1520A - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 372: Creeping Gas Hydrate Slides and Hikurangi Subduction Margin
DOI: 10.6084/m9.figshare.14605665
title: Lack of impact of radiation on blood physiology biomarkers of Chernobyl tree frogs

description: Dataset of "Lack of impact of exposure to radiation on blood physiology biomarkers of Chernobyl tree frogs". <i>Frontiers in Zoology</i>.
DOI: 10.6084/m9.figshare.14605665.v2
title: Lack of impact of radiation on blood physiology biomarkers of Chernobyl tree frogs

description: Dataset of "Lack of impact of exposure to radiation on blood physiology biomarkers of Chernobyl tree frogs". <i>Frontiers in Zoology</i>.
DOI: 10.6084/m9.figshare.14605665.v1
title: Lack of impact of exposure to radiation on blood physiology biomarkers of Chernobyl tree frogs

description: Dataset of "Lack of impact of exposure to radiation on blood physiology biomarkers of Chernobyl tree frogs". <i>Frontiers in Zoology</i>.
DOI: 10.6084/m9.figshare.14343278
title: TPS10

description: The selected TPSs genes were blasted against the NCBI, UNIPROT databases and the nine genomes of Solanaceae, using a threshold value of 1E<sup>-5</sup>. All TPSs were downloaded from Viridiplantae followed by a protein-protein blast; hits above 80% of similarity and 70% of cover were saved for further analyses. Meta-alignments of protein sequences were performed using T-coffee (Wallace et al., 2006), MUSCLE v3.8 (Edgar, 2004) and MAFF v6. (Rowicki et al., 2019).
DOI: 10.6084/m9.figshare.14343278.v1
title: TPS10

description: The selected TPSs genes were blasted against the NCBI, UNIPROT databases and the nine genomes of Solanaceae, using a threshold value of 1E<sup>-5</sup>. All TPSs were downloaded from Viridiplantae followed by a protein-protein blast; hits above 80% of similarity and 70% of cover were saved for further analyses. Meta-alignments of protein sequences were performed using T-coffee (Wallace et al., 2006), MUSCLE v3.8 (Edgar, 2004) and MAFF v6. (Rowicki et al., 2019).
DOI: 10.6084/m9.figshare.14343281.v1
title: TPS14

description: The selected TPSs genes were blasted against the NCBI, UNIPROT databases and the nine genomes of Solanaceae, using a threshold value of 1E<sup>-5</sup>. All TPSs were downloaded from Viridiplantae followed by a protein-protein blast; hits above 80% of similarity and 70% of cover were saved for further analyses. Meta-alignments of protein sequences were performed using T-coffeeMUSCLE v3.8 and MAFF v6. (Rowicki et al., 2019). <br>
DOI: 10.6084/m9.figshare.14343281
title: TPS14

description: The selected TPSs genes were blasted against the NCBI, UNIPROT databases and the nine genomes of Solanaceae, using a threshold value of 1E<sup>-5</sup>. All TPSs were downloaded from Viridiplantae followed by a protein-protein blast; hits above 80% of similarity and 70% of cover were saved for further analyses. Meta-alignments of protein sequences were performed using T-coffeeMUSCLE v3.8 and MAFF v6. (Rowicki et al., 2019). <br>
DOI: 10.6084/m9.figshare.14343356.v1
title: Sequences TPS

description: We downloaded the whole genome of <i>D. stramonium </i>to extract the TPSs genes and gene prediction was performed using AUGUSTUS (Stanke et al., 2006). All sequences que uploaded and mapped using as reference species of Solanaceae. A total of 366 000 genes were extracted, and gene redundancy was reduced with CDHIT (Qingyu Chen et al., 2016). The selected TPSs genes were blasted against the NCBI, UNIPROT databases, and the 11 genomes of Solanaceae, using a threshold value of 1E-5. All TPSs were downloaded from Viridiplantae followed by a protein-protein blast; hits above 80% of similarity and 70% of cover were saved for further analyses. Meta-alignments of protein sequences were performed using T-coffee (Wallace et al. 2006), MUSCLE v3.8 (Edgar 2004) and MAFF v6.
DOI: 10.5281/zenodo.4767857
title: BirdNET App Submissions 2020 - BrownThrasher + CommonCrane - All Obs

description: All BirdNET app submissions from 2020 whose primary species was a Brown Thrasher or Common Crane. No quality control measures have been applied.
DOI: 10.6084/m9.figshare.14343356
title: TPS gene analysis

description: We downloaded the whole genome of <i>D. stramonium </i>to extract the TPSs genes and gene prediction was performed using AUGUSTUS (Stanke et al., 2006). All sequences que uploaded and mapped using as reference species of Solanaceae. A total of 366 000 genes were extracted, and gene redundancy was reduced with CDHIT (Qingyu Chen et al., 2016). The selected TPSs genes were blasted against the NCBI, UNIPROT databases, and the 11 genomes of Solanaceae, using a threshold value of 1E-5. All TPSs were downloaded from Viridiplantae followed by a protein-protein blast; hits above 80% of similarity and 70% of cover were saved for further analyses. Meta-alignments of protein sequences were performed using T-coffee (Wallace et al. 2006), MUSCLE v3.8 (Edgar 2004) and MAFF v6.
DOI: 10.6084/m9.figshare.14343356.v3
title: TPS gene analysis

description: We downloaded the whole genome of <i>D. stramonium </i>to extract the TPSs genes and gene prediction was performed using AUGUSTUS (Stanke et al., 2006). All sequences que uploaded and mapped using as reference species of Solanaceae. A total of 366 000 genes were extracted, and gene redundancy was reduced with CDHIT (Qingyu Chen et al., 2016). The selected TPSs genes were blasted against the NCBI, UNIPROT databases, and the 11 genomes of Solanaceae, using a threshold value of 1E-5. All TPSs were downloaded from Viridiplantae followed by a protein-protein blast; hits above 80% of similarity and 70% of cover were saved for further analyses. Meta-alignments of protein sequences were performed using T-coffee (Wallace et al. 2006), MUSCLE v3.8 (Edgar 2004) and MAFF v6.
DOI: 10.6084/m9.figshare.14343356.v2
title: TPS gene analysis

description: We downloaded the whole genome of <i>D. stramonium </i>to extract the TPSs genes and gene prediction was performed using AUGUSTUS (Stanke et al., 2006). All sequences que uploaded and mapped using as reference species of Solanaceae. A total of 366 000 genes were extracted, and gene redundancy was reduced with CDHIT (Qingyu Chen et al., 2016). The selected TPSs genes were blasted against the NCBI, UNIPROT databases, and the 11 genomes of Solanaceae, using a threshold value of 1E-5. All TPSs were downloaded from Viridiplantae followed by a protein-protein blast; hits above 80% of similarity and 70% of cover were saved for further analyses. Meta-alignments of protein sequences were performed using T-coffee (Wallace et al. 2006), MUSCLE v3.8 (Edgar 2004) and MAFF v6.
DOI: 10.6084/m9.figshare.14343347
title: TPS genome blast

description: The selected TPSs genes were blasted against the NCBI, UNIPROT databases, and the 11 genomes of Solanaceae, using a threshold value of 1E-5. All TPSs were downloaded from Viridiplantae followed by a protein-protein blast; hits above 80% of similarity and 70% of cover were saved for further analyses. Meta-alignments of protein sequences were performed using T-coffee (Wallace et al. 2006), MUSCLE v3.8 (Edgar 2004) and MAFF v6. (Katoh 2005).
DOI: 10.6084/m9.figshare.14343347.v2
title: TPS genome blast

description: The selected TPSs genes were blasted against the NCBI, UNIPROT databases, and the 11 genomes of Solanaceae, using a threshold value of 1E-5. All TPSs were downloaded from Viridiplantae followed by a protein-protein blast; hits above 80% of similarity and 70% of cover were saved for further analyses. Meta-alignments of protein sequences were performed using T-coffee (Wallace et al. 2006), MUSCLE v3.8 (Edgar 2004) and MAFF v6. (Katoh 2005).
DOI: 10.6084/m9.figshare.14343347.v1
title: TPS genome blast

description: The selected TPSs genes were blasted against the NCBI, UNIPROT databases, and the 11 genomes of Solanaceae, using a threshold value of 1E-5. All TPSs were downloaded from Viridiplantae followed by a protein-protein blast; hits above 80% of similarity and 70% of cover were saved for further analyses. Meta-alignments of protein sequences were performed using T-coffee (Wallace et al. 2006), MUSCLE v3.8 (Edgar 2004) and MAFF v6. (Katoh 2005).
DOI: 10.6084/m9.figshare.14343302
title: Transcriptome analysis D. stramonium and D. metel

description: We downloaded the whole genome and transcriptome of <i>D. stramonium </i>to extract the TPSs genes and gene prediction was performed using AUGUSTUS (Stanke et al., 2006).