cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.j7knqk
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tillandsia steiropoda L.B.Sm."
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016831-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.948697
title: Driver determination of increased cyanobacterial activity within the waters of the Okavango Delta

description: The data consists of multiple different files which include data on the Land Use and Land Cover and their change within the region, as well as locally collected precipitation and temperature data, NDCI and GLH data showcasing algal bloom activity, and vegetation indices. Most of the data was collected remotely using Satellite data, this data was collected during the Summer of 2021 and consists of monthly data points for the 2017-2020 time period, covering the greater Okavango Delta region. The weather data was collected locally on a monthly basis for the same 2017-2020 time period near the Kasane airport in Northern Botswana. The data was collected to determine the driving landscape and climate factors behind the increased algal and toxic cyanobacterial activity within the waters of the Okavango Delta. As mentioned earlier, the bulk of the data used was remote satellite data, specifically Sentinel-2 data. Sentinel-2 data is freely available . The data was collected using Google Earth Engine and the Copernicus website (https://scihub.copernicus.eu/dhus/# /home), and worked with in both SNAP and ERDAS Imagine software. The LULC maps were created using ERDAS Imagine unsupervised classification. The weather data was locally collected using a meteorological station located on the Kasane airport.
DOI: 10.15468/dl.37w5ss
title: Occurrence Download

description: A dataset containing 99 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Allophylus melanophloeus Radlk."
 ]
}

 The dataset includes 99 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018549-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.948347
title: CT raw data (DICOM format) of sediment core GeoB10817-4 (MSM02/3_666-4)

description: Archive halves of the sediment core GeoB10817-4 were scanned using a Toshiba Aquilion 64™ computer tomograph (CT) at the hospital Klinikum Bremen-Mitte, with an Xray source voltage of 120 kV and a current of 600 mA. The CT image stacks have a resolution of 0.35 mm in the x and y directions and 0.5 mm resolution in the z direction (0.3 mm reconstruction unit). Images were reconstructed using Toshiba's patented helical cone beam reconstruction technique.
DOI: 10.15468/dl.c7de9p
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Maytenus Molina",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (United States of America, Canada)"
 ]
}

 The dataset includes 35 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0328506-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.948352
title: CT raw data (DICOM format) of sediment core GeoB10831-3 (MSM02/3_739-3)

description: Archive halves of the sediment core GeoB10831-3 were scanned using a Toshiba Aquilion 64™ computer tomograph (CT) at the hospital Klinikum Bremen-Mitte, with an Xray source voltage of 120 kV and a current of 600 mA. The CT image stacks have a resolution of 0.35 mm in the x and y directions and 0.5 mm resolution in the z direction (0.3 mm reconstruction unit). Images were reconstructed using Toshiba's patented helical cone beam reconstruction technique.
DOI: 10.15468/dl.2rm69q
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tillandsia somnians L.B.Sm."
 ]
}

 The dataset includes 32 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016815-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.948841
title: Lightchain measurements from radiation station 2020R21

description: Solar radiation over and under sea ice was measured by radiation station 2020R21, an autonomous platform, installed on a drifting melt pond in the Arctic Ocean during MOSAiC (Leg 5) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 27 August 2020 and 14 November 2020 in sample intervals of 1 hour. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a lightchain, which measured counts of red, green and blue light at 49 positions at hourly intervals. In addition, the evolution of snow height is measured at hourly intervals. All times are given in UTC.
description: The data set has been processed and contains quality flags for different kinds for erroneous data. Flag values are the sum of individual error codes. The value of 0 refers to no error. Quality flag, position: The geographic position is flagged +1 if the drift velocity, as derived from the GPS longitude and latitude, exceeds a threshold of 10 deg latitude or 50 deg longitude per time step; +2 if the position exceeds extreme values, such as longitude &gt; 360 deg; +4 if the position is exactly 0.0.
DOI: 10.15468/dl.dj4dj3
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Osteocephalus fuscifacies Jungfer, Ron, Seipp & Almendáriz, 2000"
 ]
}

 The dataset includes 29 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0299289-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.949203
title: Optimal growth as function of Wo (Re=2000,A=1)

description: The data are obtained via an in-house Matlab script (developed by Dr. Baofang Song) to compute the non-modal transient growth of disturbances in pulsatile and oscillatory pipe flows. In this study, a Newtonian fluid driven by pulsatile and oscillatory flow rate flows in a straight pipe. In pulsatile flow, there are three governing parameters: steady Reynolds number (defined by the steady flow component), pulsation amplitude (ratio of oscillatory and steady flow component) and Womersley number (dimensionless pulsation and oscillation frequency). In oscillatory flow, due to vanishment of steady flow component, oscillatory Reynolds number (defined by the oscillation flow component) and Womersley number. The Reynolds number defined by the thickness of Stokes layer is alternatively used for the oscillatory Reynolds number. The study was carried out in a manner that one governing parameter varies while other governing parameters are fixed.The data file 'TG_Wo_A1.dat' shows the dependence of the maximum energy amplification on the Womersley number for the Reynolds number of 2000 and the amplitude of 1.This file includes two columns: the first column indicates the Womersley number; the second column indicates the maximum energy amplification.
description: #(Re,A)=(2000.00,1.00)#t0:initial time; tf:end time;VARIABLES = "Wo", "TG (max at a Wo)"ZONE T="data, classical (k=0,m=1)", I=15, J=1
DOI: 10.15468/dl.6f7ak4
title: Occurrence Download

description: A dataset containing 184 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tillandsia straminea Kunth"
 ]
}

 The dataset includes 184 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016839-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.949206
title: Optimal growth as function of Wo (Re=2000,A=4)

description: The data are obtained via an in-house Matlab script (developed by Dr. Baofang Song) to compute the non-modal transient growth of disturbances in pulsatile and oscillatory pipe flows. In this study, a Newtonian fluid driven by pulsatile and oscillatory flow rate flows in a straight pipe. In pulsatile flow, there are three governing parameters: steady Reynolds number (defined by the steady flow component), pulsation amplitude (ratio of oscillatory and steady flow component) and Womersley number (dimensionless pulsation and oscillation frequency). In oscillatory flow, due to vanishment of steady flow component, oscillatory Reynolds number (defined by the oscillation flow component) and Womersley number. The Reynolds number defined by the thickness of Stokes layer is alternatively used for the oscillatory Reynolds number. The study was carried out in a manner that one governing parameter varies while other governing parameters are fixed.The data file 'TG_Wo_A4.dat' shows the dependence of the maximum energy amplification on the Womersley number for the Reynolds number of 2000 and the amplitude of 4.This file includes two columns: the first column indicates the Womersley number; the second column indicates the maximum energy amplification.
description: #(Re,A)=(2000.00,4.00)#t0:initial time; tf:end time;VARIABLES = "Wo", "TG (max at a Wo)"ZONE T="data, classical (k=0,m=1)", I=15, J=1
DOI: 10.1594/pangaea.948461
title: The global water resources and use model WaterGAP v2.2d - Alternative model output driven with gswp3-w5e5

description: Assessing global freshwater resources and human water demand is of value for a number of needs but challenging. The global water use and water availability model WaterGAP is in development since 1996 and serves a range of applications and topics as such as Life Cycle Assessments, a better understanding of terrestrial water storage variations (e.g., jointly with satellite observations), water (over)use and consequently depletion of water resources, as well as model evaluation and model development. In the paper connected to this dataset (doi:10.5194/gmd-14-1037-2021), the newest model version, WaterGAP 2.2d is described by providing the water balance equations, insights to input data used and typical model applications. The most important and requested model outputs (total water storage variations, streamflow and water use) are evaluated against observation data. Standard model output, driven by the climate input WFD-WFDEI (for the years 1901-2016) is described. Caveats of specific output data and an overview of model applications as well as an outlook of future model development lines are presented as well.Here, the reader can download model output driven by an alternative climate forcing, the so called GSWP3-W5E5 forcing (available for the years 1901-2019). This climate forcing was created in the ISIMIP context (https://www.isimip.org) and is described in https://www.isimip.org/gettingstarted/input-data-bias-adjustment/details/80/ as Combination of W5E5 v2.0 (Cucchi et al., 2020, doi:10.5194/essd-2020-28 and Lange et al., 2021, doi:10.48364/ISIMIP.342217) for 1979-2019 with GSWP3 v1.09 (Kim, 2017, doi:10.20783/DIAS.501) homogenized to W5E5 for 1901-1978. The homogenization reduces discontinuities at the 1978/1979 transition and was done using the ISIMIP3BASD v2.5.0 bias adjustment method (Lange, 2019, doi:10.5194/gmd-12-3055-2019 and Lange, 2021, doi:10.5281/zenodo.4686991).
DOI: 10.1594/pangaea.949210
title: Optimal wavenumber as function of Wo (Re=2000,A=1)

description: The data are obtained via an in-house Matlab script (developed by Dr. Baofang Song) to compute the non-modal transient growth of disturbances in pulsatile and oscillatory pipe flows. In this study, a Newtonian fluid driven by pulsatile and oscillatory flow rate flows in a straight pipe. In pulsatile flow, there are three governing parameters: steady Reynolds number (defined by the steady flow component), pulsation amplitude (ratio of oscillatory and steady flow component) and Womersley number (dimensionless pulsation and oscillation frequency). In oscillatory flow, due to vanishment of steady flow component, oscillatory Reynolds number (defined by the oscillation flow component) and Womersley number. The Reynolds number defined by the thickness of Stokes layer is alternatively used for the oscillatory Reynolds number. The study was carried out in a manner that one governing parameter varies while other governing parameters are fixed.The data file 'wavenumber_Wo_A1.dat' shows the dependence of optimal wavenumber on the Womersley number for the Reynolds number of 2000 and the pulsation amplitude of 1.This file includes three columns: the first column indicates the Womersley number; the second column indicates the optimal axial wavenumber; the third column indicates the optimal azimuthal wavenumber.
description: #(Re,A)=(2000.00,1.00)#t0:initial time; tf:end time;VARIABLES = "Wo", "axial wavenumber (k)", "azimuthal wavenumber (m)"ZONE T="data, raw", I=15, J=1
DOI: 10.1594/pangaea.949212
title: Optimal wavenumber as function of Wo (Re=2000,A=4)

description: The data are obtained via an in-house Matlab script (developed by Dr. Baofang Song) to compute the non-modal transient growth of disturbances in pulsatile and oscillatory pipe flows. In this study, a Newtonian fluid driven by pulsatile and oscillatory flow rate flows in a straight pipe. In pulsatile flow, there are three governing parameters: steady Reynolds number (defined by the steady flow component), pulsation amplitude (ratio of oscillatory and steady flow component) and Womersley number (dimensionless pulsation and oscillation frequency). In oscillatory flow, due to vanishment of steady flow component, oscillatory Reynolds number (defined by the oscillation flow component) and Womersley number. The Reynolds number defined by the thickness of Stokes layer is alternatively used for the oscillatory Reynolds number. The study was carried out in a manner that one governing parameter varies while other governing parameters are fixed.The data file 'wavenumber_Wo_A4.dat' shows the dependence of optimal wavenumber on the Womersley number for the Reynolds number of 2000 and the pulsation amplitude of 4.This file includes three columns: the first column indicates the Womersley number; the second column indicates the optimal axial wavenumber; the third column indicates the optimal azimuthal wavenumber.
description: #(Re,A)=(2000.00,4.00)#t0:initial time; tf:end time;VARIABLES = "Wo", "axial wavenumber (k)", "azimuthal wavenumber (m)"ZONE T="data, raw", I=12, J=1
DOI: 10.1594/pangaea.949214
title: Optimal wavenumber as function of Wo (Re_o=8000,A=infty)

description: TThe data are obtained via an in-house Matlab script (developed by Dr. Baofang Song) to compute the non-modal transient growth of disturbances in pulsatile and oscillatory pipe flows. In this study, a Newtonian fluid driven by pulsatile and oscillatory flow rate flows in a straight pipe. In pulsatile flow, there are three governing parameters: steady Reynolds number (defined by the steady flow component), pulsation amplitude (ratio of oscillatory and steady flow component) and Womersley number (dimensionless pulsation and oscillation frequency). In oscillatory flow, due to vanishment of steady flow component, oscillatory Reynolds number (defined by the oscillation flow component) and Womersley number. The Reynolds number defined by the thickness of Stokes layer is alternatively used for the oscillatory Reynolds number. The study was carried out in a manner that one governing parameter varies while other governing parameters are fixed.The data file 'wavenumber_Wo_Reo8000.dat' shows the dependence of the optimal wavenumber on the Womersley number for the oscillatory Reynolds number of 8000.This file includes twelve columns: the first column indicates the Womersley number; the second column indicates the pulsation period; the third column indicates the optimal axial wavenumber; the fourth column indicates the optimal azimuthal wavenumber; the fifth column indicates the initial time of the optimal perturbation; the sixth column indicates the final time of the optimal perturbation; the seventh column indicates the evolution time of the optimal perturbation; the eighth column indicates the initial time of the optimal perturbation normalized by the pulsation period; the nineth column indicates the final time of the optimal perturbation normalized by the pulsation period; the tenth column indicates the evolution time of the optimal perturbation normalized by the pulsation period; the eleventh column indicates the maximum energy amplification; the twelfth column indicates the Reynolds number which is defined with the characteristic length of the thickness of the Stokes layer.
description: #t0:initial time; tf:end time;VARIABLES = "Wo", "T", "k_z", "k_θ", "t0", "tf", "tf-t0", "t0/T", "tf/T", "(tf-t0)/T", "TG", "Re_delta"ZONE T="data, all modes, opf", I=11, J=1
DOI: 10.15468/dl.qbz5q3
title: Occurrence Download

description: A dataset containing 415 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Otocryptis wiegmanni Wagler, 1830"
 ]
}

 The dataset includes 415 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0284254-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ypt7h5
title: Occurrence Download

description: A dataset containing 8715 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alouatta palliata (Gray, 1849)"
 ]
}

 The dataset includes 8715 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0199432-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vspzjy
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Données sur les Opisthobranches et Planaires de Mayotte"
 ]
}

 The dataset includes 72 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024936-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.949218
title: Optimal t_f and t_0 as function of Wo(Re=2000,A=1)

description: The data are obtained via an in-house Matlab script (developed by Dr. Baofang Song) to compute the non-modal transient growth of disturbances in pulsatile and oscillatory pipe flows. In this study, a Newtonian fluid driven by pulsatile and oscillatory flow rate flows in a straight pipe. In pulsatile flow, there are three governing parameters: steady Reynolds number (defined by the steady flow component), pulsation amplitude (ratio of oscillatory and steady flow component) and Womersley number (dimensionless pulsation and oscillation frequency). In oscillatory flow, due to vanishment of steady flow component, oscillatory Reynolds number (defined by the oscillation flow component) and Womersley number. The Reynolds number defined by the thickness of Stokes layer is alternatively used for the oscillatory Reynolds number. The study was carried out in a manner that one governing parameter varies while other governing parameters are fixed.The data file 't0_tf_Wo.dat' shows the variation of optimal time (corresponding to the maximum energy amplification) with the Womersley number for the Reynolds number of 2000 and the amplitude of 1.This file includes four columns: the first column indicates the Womersley number; the second column indicates the initial time of perturbations normalized by pulsation period; the third column indicates the evolution time of the perturbation normalized by pulsation period; the fourth column indicates the final time normalized by the pulsation period.
description: #(Re,A)=(2000.00,1.00)#t0:initial time; tf:end time;VARIABLES = "Wo", "t0/T", "(tf-t0)/T", "tf/T"ZONE T="data, raw", I=15, J=1
DOI: 10.15468/dl.yddh5b
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Warreopsis parviflora (L.O.Williams) Garay"
 ]
}

 The dataset includes 18 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033986-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.949228
title: UAV-Photogrammetry, UAV laser scanning and terrestrial laser scanning point clouds of the inland dune in Sandhausen, Baden-Württemberg, Germany

description: This dataset contains unoccupied aerial vehicle (UAV)-based photogrammetric point clouds, orthophotos, UAV-borne laser scanning point clouds, and terrestrial laser scanning point clouds of three nature reserves of the Sandhausen inland dunes in Baden-Württemberg, Germany: Pflege Schönau, Pferdstrieb Süd, and Zugmantel-Bandholz. The three surveyed areas each have a size of about 10 ha. UAV-based photogrammetric data of the three sites were collected in February, September, and October 2021 with a ground sampling distance of 2.0 to 2.5 cm/px. UAV-borne laser scanning data were collected in August and September 2021 and resulting point clouds have pulse densities between 123 and 227 pts/m². Additionally, the site Zugmantel-Bandholz was surveyed with a terrestrial laser scanner in May 2022 using eight scan positions. GNSS measurements were recorded in-flight and/or taken on the ground and were tied into the SAPOS reference network (RTK/PPK) to georeference the data. This dataset captures the current state of the inland dune in 2021 and 2022, in particular the topography and vegetation cover in different seasons of the year.
DOI: 10.15468/dl.pfm3xa
title: Occurrence Download

description: A dataset containing 283 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "DatasetKey is NMNH Extant Specimen Records (USNM, US)",
 "DatasetKey is Steinhardt Museum of Natural History (SMNHTAU) Vertebrates",
 "DatasetKey is iNaturalist Research-grade Observations",
 "DatasetKey is Museum of Comparative Zoology, Harvard University",
 "DatasetKey is Vertebrate Zoology Division - Herpetology, Yale Peabody Museum",
 "DatasetKey is CAS Herpetology (HERP)",
 "DatasetKey is The Herpetology Collection at the Staatliches Museum für Naturkunde Stuttgart",
 "DatasetKey is SMNS Herpetologie"
 ]
 },
 "Geometry POLYGON((29.13574 34.65354,24.03809 25.70341,37.0459 25.62419,37.30957 34.65354,29.13574 34.65354))",
 "HasGeospatialIssue is false",
 "TaxonKey is Ptyodactylus guttatus Heyden, 1827"
 ]
}

 The dataset includes 283 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0307852-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.