cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13934431
title: EVENTS ACCEL 89CAA (06-10-24 to 09-10-24)

description: Sampling frequency: 80 Hz

Resolution: 0.125/4096
DOI: 10.5281/zenodo.13934432
title: EVENTS ACCEL 89CAA (06-10-24 to 09-10-24)

description: Sampling frequency: 80 Hz

Resolution: 0.125/4096
DOI: 10.6084/m9.figshare.26152654
title: Source Data - 5/6 Nephrectomy Impairs Acute Kaliuretic Responses and Predisposes to Postprandial Hyperkalemia

description: Source data
DOI: 10.6084/m9.figshare.26152654.v2
title: Source Data - 5/6 Nephrectomy Impairs Acute Kaliuretic Responses and Predisposes to Postprandial Hyperkalemia

description: Source data
DOI: 10.6084/m9.figshare.26152654.v1
title: Source Data - 5/6 Nephrectomy Impairs Acute Kaliuretic Responses and Predisposes to Postprandial Hyperkalemia

description: Source data
DOI: 10.15468/dl.qksjax
title: Occurrence Download

description: A dataset containing 660 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Guatteria sellowiana Schltdl."
 ]
}

 The dataset includes 660 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015193-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w72zdw
title: Occurrence Download

description: A dataset containing 13777 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is The Sustainable Wetlands Adaptation and Mitigation Program (SWAMP) Vegetation Dataset"
 ]
}

 The dataset includes 13777 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015191-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/oivekt
title: A4250640_HYDRO_QJM.txt
DOI: 10.57745/s993hf
title: A4362030_HYDRO_QJM.txt
DOI: 10.57745/p00k7z
title: A5261010_HYDRO_QJM.txt
DOI: 10.6084/m9.figshare.27226977
title: Specialist 4

description: document provided and written by one of the 10 specialist on the study I (number 4) to show the method used on evaluation
DOI: 10.5285/5b1caf9095d7412282f5ba6b558034e3
title: ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): ACTIVE product, Version 09.1

description: The Soil Moisture CCI ACTIVE dataset is one of the three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) Climate Change Initiative (CCI) project. The ACTIVE product has been created by fusing scatterometer soil moisture products, derived from the active remote sensing instruments AMI-WS and ASCAT. PASSIVE and COMBINED products have also been created.

The v09.1 ACTIVE product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It is provided in percent of saturation [%] and covers the period (yyyy-mm-dd) 1991-08-05 to 2023-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project website.

The data set should be cited using the following references:

1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019

2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001

3. Preimesberger, W., Scanlon, T., Su, C. -H., Gruber, A. and Dorigo, W., "Homogenization of Structural Breaks in the Global ESA CCI Soil Moisture Multisatellite Climate Data Record," in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 4, pp. 2845-2862, April 2021, doi: 10.1109/TGRS.2020.3012896.
DOI: 10.15468/dl.wte4bc
title: Occurrence Download

description: A dataset containing 22308 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Squamata",
 "TaxonKey is Crocodylia",
 "TaxonKey is Testudines",
 "TaxonKey is Sphenodontia",
 "TaxonKey is Amphibia"
 ]
 },
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "and" : [
 "DecimalLongitude is greater than -180",
 "DecimalLongitude is less than -153.946",
 "DecimalLatitude is greater than 18.268",
 "DecimalLatitude is less than 22.692",
 "Country is United States of America"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 22308 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015196-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13934400
title: EVENTS ACCEL BBD22 (06-10-24 to 09-10-24)

description: Sampling frequency: 80 Hz

Resolution: 0.125/4096
DOI: 10.5281/zenodo.13934401
title: EVENTS ACCEL BBD22 (06-10-24 to 09-10-24)

description: Sampling frequency: 80 Hz

Resolution: 0.125/4096
DOI: 10.5281/zenodo.13934402
title: EVENTS ACCEL BBD66 (06-10-24 to 09-10-24)

description: Sampling frequency: 80 Hz

Resolution: 0.125/4096
DOI: 10.5281/zenodo.13934403
title: EVENTS ACCEL BBD66 (06-10-24 to 09-10-24)

description: Sampling frequency: 80 Hz

Resolution: 0.125/4096
DOI: 10.57745/rzn2ey
title: H2462020_HYDRO_QJM.txt
DOI: 10.5285/7c95469ae2b7454cb389fc18ff5ce26b
title: ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Ancillary data used for the ACTIVE, PASSIVE and COMBINED products, Version 09.1

description: These ancillary datasets were used in the production of the ACTIVE, PASSIVE and COMBINED soil moisture data products, created as part of the European Space Agency's (ESA) Soil Moisture Climate Change Initiative (CCI) project. The set of ancillary datasets include datasets of Average Vegetation Optical Depth data from AMSR-E, Soil Porosity, Topographic Complexity and Wetland fraction, as well as a Land Mask. This version of the ancillary datasets were used in the production of the v09.1 Soil Moisture CCI data.

The ACTIVE, PASSIVE and COMBINED soil moisture products which these data were used to develop are fusions of scatterometer (i.e. active remote sensing) and radiometer (i.e. passive remote sensing) soil moisture products, derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, FY-3B, FY-3C, FY3D, AMSR2, SMOS, GPM and SMAP satellite instruments. To access these products or for further details on them please see their dataset records. Additional reference documents and information relating to them can also be found on the CCI Soil Moisture project website.

Soil moisture CCI data should be cited using the following references:

1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019

2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001

3. Preimesberger, W., Scanlon, T., Su, C. -H., Gruber, A. and Dorigo, W., "Homogenization of Structural Breaks in the Global ESA CCI Soil Moisture Multisatellite Climate Data Record," in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 4, pp. 2845-2862, April 2021, doi: 10.1109/TGRS.2020.3012896.
DOI: 10.57745/ddz5az
title: H5042010_HYDRO_QJM.txt
DOI: 10.57745/rx3xpk
title: H5142620_HYDRO_QJM.txt
DOI: 10.25835/ph65zrpv
title: Anomaly Detection Method for Hybrid Workpieces Using Dynamic Time Warping

description: Longitudinal turning experiments using aluminum-steel-workpieces. Error-free processes and processes with artificial grooves in different locations
DOI: 10.57745/wp6vex
title: I3033010_HYDRO_QJM.txt
DOI: 10.6084/m9.figshare.27232539
title: Species richness of birds along a rainforest elevational gradient in New Britain, Papua New Guinea

description: <b>Aim: </b>We examined bird communities along a forest elevational gradient in New Britain, Papua New Guinea.<b>Location: </b>Elevational gradient (500-1,100 m) in New Britain, Papua New Guinea<b>Taxon: </b>Birds<b>Methods: </b>We collected data on bird communities at four sites (200 m elevational increment) during one survey which lasted 9 days at site. We used point counts and mist-netting at each site. All methods are described in the associated Word file.<b>Results: </b>We recorded 6,514 bird individuals belonging to 87 bird species<b>Main conclusions: </b>We detected only very low decrease in species richness with increasing elevation, from 68 to 60 bird species.
DOI: 10.6084/m9.figshare.27232539.v2
title: Species richness of birds along a rainforest elevational gradient in New Britain, Papua New Guinea

description: <b>Aim: </b>We examined bird communities along a forest elevational gradient in New Britain, Papua New Guinea.<b>Location: </b>Elevational gradient (500-1,100 m) in New Britain, Papua New Guinea<b>Taxon: </b>Birds<b>Methods: </b>We collected data on bird communities at four sites (200 m elevational increment) during one survey which lasted 9 days at site. We used point counts and mist-netting at each site. All methods are described in the associated Word file.<b>Results: </b>We recorded 6,514 bird individuals belonging to 87 bird species<b>Main conclusions: </b>We detected only very low decrease in species richness with increasing elevation, from 68 to 60 bird species.
DOI: 10.6084/m9.figshare.27232539.v1
title: Species richness of birds along a rainforest elevational gradient in New Britain, Papua New Guinea

description: <b>Aim: </b>We examined bird communities along a forest elevational gradient in New Britain, Papua New Guinea.<b>Location: </b>Elevational gradient (500-1,100 m) in New Britain, Papua New Guinea<b>Taxon: </b>Birds<b>Methods: </b>We collected data on bird communities at four sites (200 m elevational increment) during one survey which lasted 9 days at site. We used point counts and mist-netting at each site. All methods are described in the associated Word file.<b>Results: </b>We recorded 6,514 bird individuals belonging to 87 bird species<b>Main conclusions: </b>We detected only very low decrease in species richness with increasing elevation, from 68 to 60 bird species.
DOI: 10.5281/zenodo.10571094
title: High-resolution air pollution emission inventory for the Nordic countries

description: This common Nordic (Denmark, Finland, Iceland, Norway, and Sweden) air pollution emission inventory was compiled using country total emissions from national emission inventories that the countries submit to the CLRTAP. Our inventory was based on the 2016-2018 submissions. The inventory contains annual emissions for 1990, 1995, 2000, 2005, 2010, 2012 and 2014. Components included in the inventory are: particulate matter (PM10 and PM2.5), black carbon (BC), organic carbon (OC), sulphur oxides (SOx), nitrogen oxides (NOx), carbon monoxide (CO), non-methane volatile organic compounds (NMVOC) and ammonia (NH3). The gridding was done separately for each country, using national data and gridding methods. The emissions were harmonized to the same sector nomenclature, i.e. SNAP, and to the EEA reference grid. Spatial resolution for the inventory is 1 km × 1 km in the European grid ETRS89-LAEA (EPSG: 3035). Large point source emissions are provided with locations and stack heights included. Two modifications to the CLRTAP submissions were made: (1) road transport non-exhaust PM emissions were adjusted to better conform with Nordic traffic dust assessments; and (2) for OC emission, that are not included in the inventories, rough estimates were calculated based on expert estimates on OC/PM2.5-ratios on main SNAP level. The inventory was originally created for the NordicWelfAir-project (https://projects.au.dk/nordicwelfair). The main aim of developing this new inventory was to provide air pollution modelers and health scientists a harmonized dataset to be used for studies on the link between air pollution exposure and negative impacts on the human health.Description of the data can be found in this data article, which can be referenced when using the data: https://doi.org/10.5194/essd-16-1453-2024.
description: Format: netcdf4 Grid size: 2410x2360 Resolution, 1 km x 1 km Sectors: 20 Years: 1990, 1995, 2000, 2005, 2010, 2012, 2014 Pollutants: PM10, PM2.5, BC, OC, SOx, NOx, CO, NMVOC, NH3 EPSG: 3035 Funding: Nordforsk under the Nordic Programme on Health and Welfare (Project #75007: Understanding the link between air pollution and distribution of related health impacts and welfare in the Nordic countries, NordicWelfAir). 

Version 2 contains same data as version 1, only the formatting of the netCDF-files has been made cleaner.
DOI: 10.5281/zenodo.8070154
title: High-resolution air pollution emission inventory for the Nordic countries

description: This common Nordic (Denmark, Finland, Iceland, Norway, and Sweden) air pollution emission inventory was compiled using country total emissions from national emission inventories that the countries submit to the CLRTAP. Our inventory was based on the 2016-2018 submissions. The inventory contains annual emissions for 1990, 1995, 2000, 2005, 2010, 2012 and 2014. Components included in the inventory are: particulate matter (PM10 and PM2.5), black carbon (BC), organic carbon (OC), sulphur oxides (SOx), nitrogen oxides (NOx), carbon monoxide (CO), non-methane volatile organic compounds (NMVOC) and ammonia (NH3). The gridding was done separately for each country, using national data and gridding methods. The emissions were harmonized to the same sector nomenclature, i.e. SNAP, and to the EEA reference grid. Spatial resolution for the inventory is 1 km × 1 km in the European grid ETRS89-LAEA (EPSG: 3035). Large point source emissions are provided with locations and stack heights included. Two modifications to the CLRTAP submissions were made: (1) road transport non-exhaust PM emissions were adjusted to better conform with Nordic traffic dust assessments; and (2) for OC emission, that are not included in the inventories, rough estimates were calculated based on expert estimates on OC/PM2.5-ratios on main SNAP level. The inventory was originally created for the NordicWelfAir-project (https://projects.au.dk/nordicwelfair). The main aim of developing this new inventory was to provide air pollution modelers and health scientists a harmonized dataset to be used for studies on the link between air pollution exposure and negative impacts on the human health.Description of the data can be found in this data article, which can be referenced when using the data: https://doi.org/10.5194/essd-16-1453-2024.
description: Format: netcdf4 Grid size: 2410x2360 Resolution, 1 km x 1 km Sectors: 20 Years: 1990, 1995, 2000, 2005, 2010, 2012, 2014 Pollutants: PM10, PM2.5, BC, OC, SOx, NOx, CO, NMVOC, NH3 EPSG: 3035 Funding: Nordforsk under the Nordic Programme on Health and Welfare (Project #75007: Understanding the link between air pollution and distribution of related health impacts and welfare in the Nordic countries, NordicWelfAir). 

Version 2 contains same data as version 1, only the formatting of the netCDF-files has been made cleaner.
DOI: 10.15468/dl.r972vf
title: Occurrence Download

description: A dataset containing 658 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain",
 "TaxonKey is Quercus canariensis Willd."
 ]
}

 The dataset includes 658 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015199-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.amy4wp
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Philodendron rhizomatosum Sakur. & Mayo"
 ]
}

 The dataset includes 9 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015201-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5rrbw2
title: Occurrence Download

description: A dataset containing 282 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is one of (Portugal, Spain, France, Italy)",
 "DatasetKey is one of (Observatoire Pelagis aerial surveys 2002-2021, Observatoire Pelagis - Reseau National Echouage (French stranding network) strandings 1934-2020, Fauna marina de la costa vasca - Sistema de Información de la Naturaleza de Euskadi, CETUS: Cetacean monitoring surveys in the Eastern North Atlantic, Inventaire des Mammifères de France - Inventaire des Mammifères marins de France (métropole et outre-mer), Réseau National Echouages de mammifères marins - Observations de mammifères marins du Réseau National d'Echouages en Métropole)",
 "Issue is one of (Geodetic datum assumed WGS84, Country derived from coordinates, Continent derived from coordinates)",
 "OccurrenceStatus is Present",
 "TaxonKey is Ziphius cavirostris G.Cuvier, 1823",
 "Year 2000-2024"
 ]
}

 The dataset includes 282 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015200-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/fny2-za40
title: EIT Data (set 2)

description: Electrical Impedance Tomography system measures change in path conductivity of a cross section of ROI. ROI is created by surrounding a cross-section by metal electrodes. These inject microlevel charges into ROI and attenuation due to ROI material is reconstructed. X-ray CT is a well known non destructive imaging technology used primarily in medical applications. However, industrial CT are used for industrial applciations. Computational Fluid dynamics assist flow simulation of fluid channels. All three technologies are complementaries to each other supporting where one cannot alone provide sufficient information. This dataset consist of CFD, CT and EIT measurment of a fluid channel.
DOI: 10.15468/dl.566hjd
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Albania",
 "TaxonKey is Cheiracanthium C.L.Koch, 1839"
 ]
}

 The dataset's 1 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015170-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vsnzu4
title: Occurrence Download

description: A dataset containing 2315 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Reynoutria japonica Houtt.",
 "Country is Austria"
 ]
}

 The dataset includes 2315 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015202-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13934406
title: EVENTS ACCEL BBDF3 (06-10-24 to 09-10-24)

description: Sampling frequency: 80 Hz

Resolution: 0.125/4096
DOI: 10.5281/zenodo.13934407
title: EVENTS ACCEL BBDF3 (06-10-24 to 09-10-24)

description: Sampling frequency: 80 Hz

Resolution: 0.125/4096
DOI: 10.5285/ca55ac11fc814b0d95e68a34a10539c1
title: ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): PASSIVE product, Version 09.1

description: The Soil Moisture CCI PASSIVE dataset is one of three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) Climate Change Initiative (CCI) project. The PASSIVE product has been created by merging data from the SMMR, SSM/I, TMI, AMSR-E, WindSat, FY-3B, FY-3C, FY3D, AMSR2, SMOS, GPM and SMAP passive remote sensing satellite instruments. ACTIVE and COMBINED products have also been created.

The v09.1 PASSIVE product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It is provided in volumetric units [m3 m-3] and covers the period (yyyy-mm-dd) 1978-11-01 to 2023-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project website.

The data set should be cited using the following references:

1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019

2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001

3. Preimesberger, W., Scanlon, T., Su, C. -H., Gruber, A. and Dorigo, W., "Homogenization of Structural Breaks in the Global ESA CCI Soil Moisture Multisatellite Climate Data Record," in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 4, pp. 2845-2862, April 2021, doi: 10.1109/TGRS.2020.3012896.
DOI: 10.15468/dl.en3ava
title: Occurrence Download

description: A dataset containing 261546 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Zea mays L."
 ]
}

 The dataset includes 261546 records from 913 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015153-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/ube5cf
title: K2064010_HYDRO_QJM.txt
DOI: 10.15468/dl.qpe79k
title: Occurrence Download

description: A dataset listing the 10 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Trachelospermum jasminoides (Lindl.) Lem."
 ]
}

 The dataset's 10 records were derived from 241 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015158-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.