cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18419/darus-1229
title: 2D pictures of BM13/1-20

description: &lt;p&gt;Dataset contains all pictures (.jpg; .arw) that were taken during the &lt;a href="https://darus.uni-stuttgart.de/file.xhtml?fileId=49056&version=DRAFT"&gt;2D digitisation strategy&lt;/a&gt; for this object.&lt;/p&gt; &lt;p&gt;Order of data: object was digitised according to a digitisation schema visible within the Dataset&lt;/p&gt;&lt;ul&gt;&lt;li&gt;characteristic view,&lt;/li&gt; &lt;li&gt;front view,&lt;/li&gt; &lt;li&gt;left view,&lt;/li&gt; &lt;li&gt;back view,&lt;/li&gt; &lt;li&gt;right view,&lt;/li&gt;&lt;li&gt;bottom view,&lt;/li&gt; &lt;li&gt;upward view, &lt;/li&gt;&lt;li&gt;details (details 1, details 2, ..., details n)&lt;/li&gt;&lt;/ul&gt;&lt;p&gt; This schema is indicated within the pictures by inventory label and then labels according to view.&lt;/p&gt;&lt;p&gt; Further information one can find in the document: Setting and workflow for basic development of 2D.&lt;/p&gt;&lt;p&gt;This dataset is part of the digital gyroscope collection. For more information about 
the collection and its creation, please see the documentation dataset:
&lt;i&gt;Niklaus, Maria, 2021, "Information about the Gyrolog data repository", 
&lt;a href="https://doi.org/10.18419/darus-821"&gt;doi: 10.18419/darus-821&lt;/a&gt;, DaRUS.&lt;/i&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;To refer to the whole collection: Wagner, Jörg F.; Ceranski, Beate; Fritsch, Dieter; Mammadov, Gasim; Niklaus, Maria; Schweizer, Timo; Simon, Sven; Zhan, Kun, 2021, "Digital Gyroscope Collection Created by the Project 'Gyrolog'", &lt;a href="https://doi.org/10.18419/darus-gyrolog"&gt;doi: 10.18419/darus-gyrolog&lt;/a&gt;, DaRUS.&lt;/b&gt;&lt;/p&gt;
description: accelerometer
DOI: 10.18419/darus-1229/15
title: 00004621.JPG
DOI: 10.34740/kaggle/dsv/9870196
title: Is Copper the New Gold ?
DOI: 10.18419/darus-1232/1
title: 00004671.JPG
DOI: 10.18419/darus-1232/2
title: 00004665.JPG
DOI: 10.5281/zenodo.14065417
title: Anthropometric Data

description: This dataset is an anthropometric collection focused on measurements of chest depth and shoulder breadth in adult individuals, both male and female. Chest depth represents the distance from the front to the back of the chest, while shoulder breadth measures the width across the shoulders from one shoulder point to the other.
DOI: 10.5281/zenodo.14065418
title: Anthropometric Data

description: This dataset is an anthropometric collection focused on measurements of chest depth and shoulder breadth in adult individuals, both male and female. Chest depth represents the distance from the front to the back of the chest, while shoulder breadth measures the width across the shoulders from one shoulder point to the other.
DOI: 10.18419/darus-1232/3
title: 00004675.JPG
DOI: 10.18419/darus-1232/4
title: 00004672.JPG
DOI: 10.18419/darus-1232/5
title: 00004674.JPG
DOI: 10.18419/darus-1232/6
title: 00004673.JPG
DOI: 10.18419/darus-1232/7
title: 00004666.JPG
DOI: 10.18419/darus-1232/8
title: 00004664.JPG
DOI: 10.18419/darus-1232/9
title: 00004667.JPG
DOI: 10.18419/darus-1232/10
title: 00004676.JPG
DOI: 10.18419/darus-1232/11
title: 00004668.JPG
DOI: 10.15468/dl.pqzm6n
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Troglodytes troglodytes (Linnaeus, 1758)",
 "Year is 2",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006937-241107131044228/datasets/export for details.
DOI: 10.18419/darus-1232/12
title: 00004669.JPG
DOI: 10.18419/darus-1232/13
title: 00004677.JPG
DOI: 10.18419/darus-1232/14
title: 00004670.JPG
DOI: 10.18419/darus-1232
title: 2D pictures of KR20/1-20

description: &lt;p&gt;Dataset contains all pictures (.jpg; .arw) that were taken during the &lt;a href="https://darus.uni-stuttgart.de/file.xhtml?fileId=49056&version=DRAFT"&gt;2D digitisation strategy&lt;/a&gt; for this object.&lt;/p&gt; &lt;p&gt;Order of data: object was digitised according to a digitisation schema visible within the Dataset&lt;/p&gt;&lt;ul&gt;&lt;li&gt;characteristic view,&lt;/li&gt; &lt;li&gt;front view,&lt;/li&gt; &lt;li&gt;left view,&lt;/li&gt; &lt;li&gt;back view,&lt;/li&gt; &lt;li&gt;right view,&lt;/li&gt;&lt;li&gt;bottom view,&lt;/li&gt; &lt;li&gt;upward view, &lt;/li&gt;&lt;li&gt;details (details 1, details 2, ..., details n)&lt;/li&gt;&lt;/ul&gt;&lt;p&gt; This schema is indicated within the pictures by inventory label and then labels according to view.&lt;/p&gt;&lt;p&gt; Further information one can find in the document: Setting and workflow for basic development of 2D.&lt;/p&gt;&lt;p&gt;This dataset is part of the digital gyroscope collection. For more information about 
the collection and its creation, please see the documentation dataset:
&lt;i&gt;Niklaus, Maria, 2021, "Information about the Gyrolog data repository", 
&lt;a href="https://doi.org/10.18419/darus-821"&gt;doi: 10.18419/darus-821&lt;/a&gt;, DaRUS.&lt;/i&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;To refer to the whole collection: Wagner, Jörg F.; Ceranski, Beate; Fritsch, Dieter; Mammadov, Gasim; Niklaus, Maria; Schweizer, Timo; Simon, Sven; Zhan, Kun, 2021, "Digital Gyroscope Collection Created by the Project 'Gyrolog'", &lt;a href="https://doi.org/10.18419/darus-gyrolog"&gt;doi: 10.18419/darus-gyrolog&lt;/a&gt;, DaRUS.&lt;/b&gt;&lt;/p&gt;
description: gyro rotor
DOI: 10.18419/darus-1232/15
title: 00004678.JPG
DOI: 10.18419/darus-3306/1
title: neat.txt
DOI: 10.18419/darus-3306/2
title: SBA15 OUT.txt
DOI: 10.18419/darus-3306/3
title: SBA15 IN1.txt
DOI: 10.18419/darus-3306/4
title: SBA15 OUT.txt
DOI: 10.18419/darus-3306/5
title: Silica.txt
DOI: 10.18419/darus-3306/6
title: silica.txt
DOI: 10.18419/darus-3306/7
title: SBA15 IN 2.txt
DOI: 10.18419/darus-3306/8
title: SBA15 IN1.txt
DOI: 10.18419/darus-3306/9
title: SBA15 OUT.txt
DOI: 10.18419/darus-3306/10
title: SBA15 IN2.txt
DOI: 10.18419/darus-3306/11
title: neat.txt
DOI: 10.21227/163c-0542
title: Korean Voice Phishing Detection Dataset with Multilingual Back-Translation and SMOTE Augmentations

description: This dataset contains original and augmented versions of the Korean Call Content Vishing (KorCCVi v2) dataset used in the study titled, "Enhancing Voice Phishing Detection Using Multilingual Back-Translation and SMOTE: An Empirical Study." The dataset addresses challenges of data imbalance and asymmetry in Korean voice phishing detection, leveraging data augmentation techniques such as multilingual back-translation (BT) with English, Chinese, and Japanese as intermediate languages, and Synthetic Minority Oversampling Technique (SMOTE). The augmented dataset provides a valuable resource for machine learning (ML) and deep learning (DL) applications in natural language processing (NLP) and cybersecurity research.
DOI: 10.18419/darus-3306/12
title: SBA15 IN.txt
DOI: 10.18419/darus-3306/13
title: SBA15 OUT.txt
DOI: 10.18419/darus-3306
title: Replication data of Dyballa group for: "Determination of Accessibility and Spatial Distribution of Chiral Rh Diene Complexes Immobilized on SBA-15 via Phosphine‐based NMR Probe Molecules"

description: Solid-state NMR data of the journal article mentioned under related publications from the Dyballa group can be found here. Data from collaborating groups (A2, A4, B3, C4) can be found in separate data sets.
DOI: 10.18419/darus-3306/14
title: SBA15 IN1.txt
DOI: 10.18419/darus-3314/1
title: multitracker_RMR_w_recognition_CSRT_tracker.py

description: The first step in the experimental evaluation is the tracking via "opencv". It is important to note that the tracking requires images that are in one directory/folder and sorted in the necessary order through which the algorithm is to run through. Prior to the tracking the images should be cropped to a necessary size, in the case of the tracking for this thesis the images were captured via a Basler high-speed camera in which the necessary mask/crop of the image was automatically introduced. To run the analysis the captures are analysed and must have the same undisturbed imaging.
DOI: 10.18419/darus-3314/2
title: total_circ.py

description: This code is used to determine the circulation times and amount of circulations based on the positional results.
DOI: 10.18419/darus-3314/3
title: Floor_Hit_counter.py

description: This code is used to determine the amount contacts between the Lagrangian Particle (LP) and the floor of the vat.
DOI: 10.18419/darus-3314/4
title: combined _results_hit_counts.py

description: This code combines all the individual floor hit results for the respective experiments.
DOI: 10.18419/darus-3314/5
title: general_code_for_combination_of_results.py

description: This code combines all the individual floor hit results for the respective experiments.
DOI: 10.18419/darus-3314/6
title: velocity_plotter_40mm.py

description: This code is fairly simple and just creates a scatter plot for an individual experiment based on the trajectory data which is saved into individual numpy files.
It is important to only access one experiment at a time in this code as a combination of all results would not yield a reflective result as too many data points are available then.
DOI: 10.18419/darus-3314/7
title: velocity_plotter.py

description: This code is fairly simple and just creates a scatter plot for an individual experiment based on the trajectory data, which is saved into individual numpy files.
It is important to only access one experiment at a time in this code as a combination of all results would not yield a reflective result as too many data points are available then.
DOI: 10.18419/darus-3314/8
title: historgam_maker_velocity.py

description: Very simple bit of code that creates histograms based on all the individual experiments for the positional data. It calculates the histograms for each axis individually, the path to where the numpy files are saved and the directory for where the results are to be saved are defined below.
DOI: 10.18419/darus-3314/9
title: historgam_maker_position.py

description: Very simple bit of code that creates histograms based on all the individual experiments for the positional data. It calculates the histograms for each axis individually, the path to where the numpy files are saved and the directory for where the results are to be saved are defined below.
DOI: 10.18419/darus-3314/10
title: heat_map_std_calc.py

description: This code calculates the heat maps standard deviation and recalculates it to reflect the uncertainty in a 10x10 grid based on the numpy positional data that are saved into one specific directory which is to be defined. It can also be used to actually graph and calculate the normal heat maps, however, this only requires the full np positional vectors which was done in "Origin lab".
DOI: 10.18419/darus-3314/11
title: CFD_vel_map.py

description: Here, the respective folders are searched for the results pertaining to the CFD and experimental results. Make sure to have the results from the trajectory data stored in their seperate folders. Eventually, all different Stokes numbers will be calculated.
DOI: 10.18419/darus-3314/12
title: calculations_HZDR_RMR_Master.opju

description: This file contains the origin lab files pertaining to the calculations and graphing of the 25mm and 40mm LP results. Generally, the python codes will yield "numpy" files, which are read through the respective editor, the results are then imported/inserted into the respective graphing program (in this case: "Origin lab") in order to graph the results, such as the histograms or heat maps.
DOI: 10.18419/darus-3314/13
title: calculations_40mm.opju

description: This file contains the origin lab files pertaining to the calculations and graphing of the 25mm and 40mm LP results. Generally, the python codes will yield "numpy" files, which are read through the respective editor, the results are then imported/inserted into the respective graphing program (in this case: "Origin lab") in order to graph the results, such as the histograms or heat maps.
DOI: 10.18419/darus-3314/14
title: working_env_RMR.yml

description: This .yml file configures and reproduces the entire environment via e.g. conda.
DOI: 10.15468/dl.sfvdtm
title: Occurrence Download

description: A dataset containing 2700 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Philippines",
 "DatasetKey is Royal Botanic Gardens, Kew - Herbarium Specimens",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 1905-1918"
 ]
}

 The dataset includes 2700 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006938-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18419/darus-3340/1
title: 01_ReadyToRunCase.tar.list

description: list of files in the 01_ReadyToRunCase.tar archive
DOI: 10.18419/darus-3340/2
title: 01_ReadyToRunCase.tar

description: this file allows any user to restart the simulation where it was stopped without necessarily having to decompose the domain or proceed to any preprocessing step
DOI: 10.18419/darus-3340/3
title: 04_halfBlade0.pw

description: this is the original HALF blade mesh from Pointwise and can be used, for exemple, to modify the blade mesh before rerunning the case with a different grid resolution
DOI: 10.18419/darus-3340/4
title: 04_fullBlade0.pw

description: this is the original blade mesh from Pointwise and can be used to reconstruct the case using the 03_generator.tar archive and running the given scripts
DOI: 10.18419/darus-3340/5
title: 05_fullBlade0_struct.cgns

description: blade exported into structured cgns format
DOI: 10.18419/darus-3340/6
title: 05_fullblade0_withDatabases.gg

description: blade exported into gridgen format and keeping the blade surface database
DOI: 10.18419/darus-3340/7
title: 05_fullblade0_unstruct.cgns

description: blade exported into unstructured cgns format
DOI: 10.18419/darus-3340/8
title: 05_fullBlade0.gg

description: mesh exported into gridgen format
DOI: 10.18419/darus-3340/9
title: 02_needed_OF_libs-v2206.tar.bz2

description: these OpenFOAM librairies are needed to run the test case; tested on v2206, but will likely work with other versions as well
DOI: 10.18419/darus-3340/10
title: 02_needed_OF_libs-v2206.tar.bz2.list

description: list of files in the 02_needed_OF_libs-v2206.tar.bz2 archive
DOI: 10.18419/darus-3340/11
title: 00_README.md
DOI: 10.18419/darus-3340/12
title: 03_generator.tar

description: files and scripts to build the case from zero
DOI: 10.18419/darus-3340/13
title: 03_generator.tar.list

description: files contained in the 03_generator.tar folder archive
DOI: 10.18419/darus-1806/1
title: CaseA1_solid.vtk
DOI: 10.18419/darus-1806/2
title: CaseB1_fluid.vtk
DOI: 10.18419/darus-1806/3
title: CaseC1_solid.vtk
DOI: 10.18419/darus-1806/4
title: CaseC1_fluid.vtk
DOI: 10.18419/darus-1806/5
title: CaseB1_solid.vtk
DOI: 10.18419/darus-1806/6
title: CaseA1_fluid.vtk
DOI: 10.34740/kaggle/dsv/9870922
title: BBC Burmese News rss
DOI: 10.18419/darus-1806/7
title: CaseB2_solid.vtk
DOI: 10.18419/darus-1806/8
title: CaseA2_solid.vtk
DOI: 10.18419/darus-1806/9
title: CaseB2_fluid.vtk
DOI: 10.18419/darus-1806/10
title: CaseC2_fluid.vtk
DOI: 10.18419/darus-1806/11
title: CaseC2_solid.vtk
DOI: 10.18419/darus-1806/12
title: CaseA2_fluid.vtk
DOI: 10.18419/darus-1806/13
title: SetupCaseA1.tar
DOI: 10.18419/darus-1806
title: Setup and Data for: 3D conjugate heat transfer simulation in a Berea sandstone sample

description: This Dataset contains the fluid and solid temperature fields used as reference in the &lt;b&gt;Related Publication&lt;/b&gt; 
(&lt;a href="https://doi.org/10.1007/s11242-021-01602-5"&gt;doi:10.1007/s11242-021-01602-5&lt;/a&gt;).

It results from a 3D conjugate heat transfer simulation of a Berea sandstone sample. The Mesh was extracted from an CT-image provided by Dong and Blunt (&lt;a href="https://doi.org/10.1103/physreve.80.036307"&gt;doi:10.1007/s11242-021-01602-5&lt;/a&gt;). Data available at
&lt;a href="https://www.imperial.ac.uk/earth-science/research/research-groups/pore-scale-modelling/micro-ct-images-and-networks/berea-sandstone/"&gt;Data_Blunt&lt;/a&gt;.

The simulation was conducted with the OpenFOAM solver ChtMultiRegionFoam. 
The files CaseA1_fluid.vtk, ..., are the temperature fields correspond to the Table 2 in the &lt;b&gt;Related Publication&lt;/b&gt;. There the energy balance is given in row "OF" and the corresponding material and flow parameters can be found.
description: To reproduce the data the setup for the OpenFOAM calculation is given in SetupCaseA1.tar. 

For the individual Cases (Case A1, B1, C1,...) the fluid and solid conductivity has to be set in:
constant/Void/thermophysicalProperties
and
constant/Sphere/thermophysicalProperties
the pressure difference has to be set in:
0/Void/p
correspondingly to table 2 in the <b>Related Publication</b>.
DOI: 10.18419/darus-1806/14
title: Berea_Grid_200_padding_z.zip

description: Grid files for the solid and the fluid phase in gmsh format
DOI: 10.18419/darus-4538/1
title: X1.txt
DOI: 10.18419/darus-4538/2
title: X2.txt
DOI: 10.15468/dl.7u9sxf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dendrocopos major (Linnaeus, 1758)",
 "Year is 2",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006939-241107131044228/datasets/export for details.
DOI: 10.18419/darus-4538/3
title: X0.txt
DOI: 10.18419/darus-4538/4
title: Y0.txt
DOI: 10.18419/darus-4538/5
title: Y1.txt
DOI: 10.18419/darus-4538/6
title: Y2.txt
DOI: 10.18419/darus-4538/7
title: X0.txt
DOI: 10.18419/darus-4538/8
title: Y2.txt
DOI: 10.18419/darus-4538/9
title: ProcessVisualizeKinematic.m
DOI: 10.18419/darus-4538/10
title: Y1.txt
DOI: 10.18419/darus-4538/11
title: X2.txt
DOI: 10.18419/darus-4538/12
title: Y1.txt
DOI: 10.18419/darus-4538/13
title: X0.txt
DOI: 10.18419/darus-4538/14
title: Y0.txt
DOI: 10.18419/darus-4538/15
title: X2.txt
DOI: 10.18419/darus-4538/16
title: X1.txt
DOI: 10.18419/darus-4538/17
title: X1.txt
DOI: 10.18419/darus-4538/18
title: Y0.txt
DOI: 10.18419/darus-4538/19
title: Y2.txt
DOI: 10.18419/darus-4538/20
title: ProcessVisualizeSecondorder.m
DOI: 10.18419/darus-4538/21
title: readme.md
DOI: 10.18419/darus-1233/1
title: 00005981.JPG
DOI: 10.6084/m9.figshare.27646575.v1
title: Input for qGO

description: input for qGO and qMGR
DOI: 10.18419/darus-1233/2
title: 00005984.JPG
DOI: 10.6084/m9.figshare.27646575
title: Input for qGO

description: input for qGO and qMGR
DOI: 10.18419/darus-1233/3
title: 00005982.JPG
DOI: 10.18419/darus-1233/4
title: 00005985.JPG
DOI: 10.18419/darus-1233/5
title: 00005983.JPG
DOI: 10.18419/darus-1233/6
title: 00005980.JPG
DOI: 10.5519/qd.fcnt2pn8
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.18419/darus-1233/7
title: 00005978.JPG
DOI: 10.18419/darus-1233/8
title: 00005979.JPG
DOI: 10.48597/2j2v-8rxb
title: Measurement of Aerosol light scattering at Steamboat Springs, Colorado (Storm Peak Laboratory)

description: Measurement of Aerosol light scattering at Steamboat Springs, Colorado (Storm Peak Laboratory)
DOI: 10.18419/darus-1233/9
title: 00009910.JPG
DOI: 10.18419/darus-1233/10
title: 00009923.JPG
DOI: 10.18419/darus-1233/11
title: 00009917.JPG
DOI: 10.18419/darus-1233/12
title: 00009911.JPG
DOI: 10.18419/darus-1233/13
title: 00009918.JPG
DOI: 10.18419/darus-1233/14
title: 00009919.JPG
DOI: 10.18419/darus-1233/15
title: 00009914.JPG
DOI: 10.18419/darus-1233/16
title: 00009912.JPG
DOI: 10.18419/darus-1233/17
title: 00009915.JPG
DOI: 10.18419/darus-1233/18
title: 00009920.JPG
DOI: 10.18419/darus-1233/19
title: 00009922.JPG
DOI: 10.18419/darus-1233/20
title: 00009921.JPG
DOI: 10.18419/darus-1233/21
title: 00009916.JPG
DOI: 10.18419/darus-1233
title: 2D pictures of SO63-20

description: &lt;p&gt;Dataset contains all pictures (.jpg; .arw) that were taken during the &lt;a href="https://darus.uni-stuttgart.de/file.xhtml?fileId=49056&version=DRAFT"&gt;2D digitisation strategy&lt;/a&gt; for this object.&lt;/p&gt; &lt;p&gt;Order of data: object was digitised according to a digitisation schema visible within the Dataset&lt;/p&gt;&lt;ul&gt;&lt;li&gt;characteristic view,&lt;/li&gt; &lt;li&gt;front view,&lt;/li&gt; &lt;li&gt;left view,&lt;/li&gt; &lt;li&gt;back view,&lt;/li&gt; &lt;li&gt;right view,&lt;/li&gt;&lt;li&gt;bottom view,&lt;/li&gt; &lt;li&gt;upward view, &lt;/li&gt;&lt;li&gt;details (details 1, details 2, ..., details n)&lt;/li&gt;&lt;/ul&gt;&lt;p&gt; This schema is indicated within the pictures by inventory label and then labels according to view.&lt;/p&gt;&lt;p&gt; Further information one can find in the document: Setting and workflow for basic development of 2D.&lt;/p&gt;&lt;p&gt;This dataset is part of the digital gyroscope collection. For more information about 
the collection and its creation, please see the documentation dataset:
&lt;i&gt;Niklaus, Maria, 2021, "Information about the Gyrolog data repository", 
&lt;a href="https://doi.org/10.18419/darus-821"&gt;doi: 10.18419/darus-821&lt;/a&gt;, DaRUS.&lt;/i&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;To refer to the whole collection: Wagner, Jörg F.; Ceranski, Beate; Fritsch, Dieter; Mammadov, Gasim; Niklaus, Maria; Schweizer, Timo; Simon, Sven; Zhan, Kun, 2021, "Digital Gyroscope Collection Created by the Project 'Gyrolog'", &lt;a href="https://doi.org/10.18419/darus-gyrolog"&gt;doi: 10.18419/darus-gyrolog&lt;/a&gt;, DaRUS.&lt;/b&gt;&lt;/p&gt;
description: miscellaneous
DOI: 10.15468/dl.c2quj4
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Boehmeria yaeyamensis Hatus.",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 23 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0206326-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kvpzj4
title: Occurrence Download

description: A dataset containing 402330 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salvia rosmarinus Spenn.",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 402330 records from 694 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0259638-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7gstqa
title: Occurrence Download

description: A dataset containing 2521 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Spermophilus citellus (Linnaeus, 1766)",
 "Year 2020-2022"
 ]
}

 The dataset includes 2521 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0202329-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.adhsyu
title: Occurrence Download

description: A dataset containing 252 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hosta kiyosumiensis F.Maek."
 ]
}

 The dataset includes 252 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0249003-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ma3jdh
title: Occurrence Download

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acmispon nudatus (Greene) Brouillet"
 ]
}

 The dataset includes 127 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0248965-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.