cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/2tm-hne-kt8
title: Hypochaeris radicata L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/5j1-fbr-165
title: Carex muricata L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ltb-zll-qtn
title: Arabis hirsuta (L.) Scop.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/z33-qlx-m4c
title: Crepis mollis (Jacq.) Asch.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/p9p-q8p-j8w
title: Amaranthus powellii S. Watson

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/yv7-vs4-ez1
title: Selaginella selaginoides (L.) P. Beauv. ex Schrank & Mart.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/e07-z35-mxq
title: Asplenium septentrionale (L.) Hoffm.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/kvv-4d5-xgz
title: Fagopyrum esculentum Moench

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/nf0-tj0-ffw
title: Carex appropinquata Schumach.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/1lq-rff-rwc
title: Atriplex patula L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/8md-11f-z9g
title: Centaurea scabiosa L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/pnw-swt-tan
title: Crepis aurea (L.) Cass.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/977-pnk-fc4
title: Achillea clavennae L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/w36-7vc-4c9
title: Cardamine amara L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/znp-l92-hfk
title: Erysimum cheiranthoides L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/1cq-n9a-5sm
title: Bunias erucago L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/amq-lfr-kyy
title: Centaurea montana L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/by5-v3q-298
title: Cardamine amara L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/b0b-6g9-2zc
title: Centaurea stoebe L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/h59-0hm-qql
title: Asplenium cuneifolium Viv.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/znt-z4y-aqn
title: Draba dubia Suter

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/2n6-8ba-xwq
title: Atriplex sagittata Borkh.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/6kz-drz-xx0
title: Lepidium squamatum Forssk.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.su4haj
title: Occurrence Download

description: A dataset containing 98 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ireland",
 "GadmGid is IRL.17_1",
 "TaxonKey is Orchidaceae"
 ]
}

 The dataset includes 98 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043717-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z5msuu
title: Occurrence Download

description: A dataset containing 48491 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Türkiye, Cyprus, Israel, Palestine, State of, Syrian Arab Republic, Lebanon, Saudi Arabia, Oman, Yemen, United Arab Emirates, Georgia, Armenia, Azerbaijan, Iran (Islamic Republic of), Iraq, Tajikistan, Kyrgyzstan, Uzbekistan, Turkmenistan, Afghanistan, Kazakhstan)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (EX, EW, CR, EN, VU, NT, LC, DD, NE)",
 "OccurrenceStatus is Present",
 "TaxonKey is Odonata",
 "Year 1970-2024"
 ]
}

 The dataset includes 48491 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043718-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12667357
title: Model outputs from "Holocene thinning in central Greenland controlled by the Northeast Greenland Ice Stream"

description: Two-dimensional outputs of the best Yelmo model simulation within the ensemble presented in the manuscript by Tabone et al., 2024, titled "Holocene Thinning in Central Greenland Controlled by the Northeast Greenland Ice Stream," published in Nature Communications. For more information, please contact the authors and read the paper.
DOI: 10.5281/zenodo.12667358
title: Model outputs from "Holocene thinning in central Greenland controlled by the Northeast Greenland Ice Stream"

description: Two-dimensional outputs of the best Yelmo model simulation within the ensemble presented in the manuscript by Tabone et al., 2024, titled "Holocene Thinning in Central Greenland Controlled by the Northeast Greenland Ice Stream," published in Nature Communications. For more information, please contact the authors and read the paper.
DOI: 10.34740/kaggle/ds/1829826
title: Public Things!
DOI: 10.15468/dl.m7mhq4
title: Occurrence Download

description: A dataset containing 47647 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Cepaea hortensis (O.F.Müller, 1774))",
 "Continent is Europe"
 ]
}

 The dataset includes 47647 records from 644 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043719-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25810/t650-1j72
title: Data set for the paper "Solar Flare Effects in the Martian Ionosphere and Magnetosphere: 3-D Time-Dependent MHD-MGITM Simulation and Comparison with MAVEN and MGS"
title: Time-Varying MHD-MGITM Simulation Results for the 10 September 2017 Solar Flare Event at Mars
DOI: 10.15468/dl.95ab6n
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Cepaea hortensis (O.F.Müller, 1774), Cepaea nemoralis (Linnaeus, 1758))",
 "Continent is Europe",
 "StateProvince is one of (England, Wales, Scotland)",
 "DecimalLatitude is less than 50",
 "DecimalLatitude is greater than or equal to 51"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043720-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26418040
title: Soil C and acid soluble Fe data from across Kansas

description: Data from 2019 sampling of soil for SOC and acid soluble iron collected from three land uses across the state of Kansas from 20 sites.
DOI: 10.6084/m9.figshare.26418040.v1
title: Soil C and acid soluble Fe data from across Kansas

description: Data from 2019 sampling of soil for SOC and acid soluble iron collected from three land uses across the state of Kansas from 20 sites.
DOI: 10.15468/dl.cthnae
title: Occurrence Download

description: A dataset containing 4840 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Swietenia macrophylla G.King"
 ]
}

 The dataset includes 4840 records from 283 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043721-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26208/rae0-j448
title: Permission to Bite: White-footed mice show no increased grooming response to tick infestation

description: The presence of parasites can significantly influence animal behavior. Specifically, grooming behavior may have evolved as a direct response to parasitism. This adaptation, observed in a wide range of species, serves as a direct response to the physical and psychological challenges induced by parasite infestation. Grooming behaviors, which can be individual or social, help remove parasites, maintain hygiene, and offer stress relief. These interactions underscore the adaptive coping strategies of animals for environmental challenges, highlighting the role of parasites in shaping animal behavior and survival. A continual rise in human cases of vector-borne disease demands a more detailed understanding of how ticks interact with their host species that usually serve as pathogen reservoirs. White-footed mice (Peromyscus leucopus) are one of the most frequently studied hosts of blacklegged ticks (Ixodes scapularis); however, how this species interacts with ticks in the field is poorly understood. This study aimed to quantify activity patterns in white-footed mice and to assess their behavioral responses to parasitism by blacklegged ticks within a controlled setting using Ethovision® software. White-footed mice were infested with nymphal blacklegged ticks or evaluated without tick infestation over 4 days. The mean number of ticks on the mice after the infestation period was 19.6 ± 5.9, and the mean number of ticks that attached and fed through the duration of the trial on the infested mice out of these was 8.6 ± 4.4. Grooming frequency was not significantly affected by tick parasitism, regardless of the number of attached ticks. While this study was the first to quantify behavior on lab-reared white-footed mice in response to blacklegged tick parasitism, further work is needed to determine how wild-caught white-footed mouse behavior might differ.
DOI: 10.34943/5dce17a8-a77e-4969-ac82-367f3d6ad788
title: Endeavour South Current Meter Deployed 2023-07-09

description: The Nortek Aquadopp Current Meter A2L2494 AQD2762 was deployed on 2023-07-09 at Endeavour South. This south section of the Endeavour Hydrothermal Vents includes two moorings to monitor the regional circulation. This device is a Current Meter. Acoustic Current Meters (ACM) measure current speed and direction, using the Doppler Effect. Aquadopp current meters have a sensor head that contains 3 acoustic transducers, a tilt sensor, a temperature sensor and a pressure sensor. The instrument transmits a short pulse of sound, and then listens to its echo to measure the change in pitch or frequency. The change in pitch can determine the velocity of the current. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/4726f15f-c690-4071-8061-4cd105320f02
title: Endeavour South Current Meter Deployed 2023-07-09

description: The Nortek Aquadopp Current Meter A2L2494 AQD2762 was deployed on 2023-07-09 at Endeavour South. This south section of the Endeavour Hydrothermal Vents includes two moorings to monitor the regional circulation. This device is a Current Meter. Acoustic Current Meters (ACM) measure current speed and direction, using the Doppler Effect. Aquadopp current meters have a sensor head that contains 3 acoustic transducers, a tilt sensor, a temperature sensor and a pressure sensor. The instrument transmits a short pulse of sound, and then listens to its echo to measure the change in pitch or frequency. The change in pitch can determine the velocity of the current. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.15468/dl.gndpu9
title: Occurrence Download

description: A dataset containing 230 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Guatemala",
 "TaxonKey is Peromyscus beatae Thomas, 1903"
 ]
}

 The dataset includes 230 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043723-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5q6zrg
title: Occurrence Download

description: A dataset containing 1235 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "Geometry POLYGON((271.91746 -7.02216,301.26239 -7.02216,301.26239 4.72188,271.91746 4.72188,271.91746 -7.02216))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tremarctos ornatus (F.G.Cuvier, 1825)",
 "Year 2004-2024"
 ]
}

 The dataset includes 1235 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043724-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26124820
title: CHW Study Data - Dominican Republic 2019-2022

description: This data corresponds to a study that examines the impact and effectiveness of a Community Health Worker (CHW) network in the Greater Santo Domingo foci of the Dominican Republic. Data was analyzed from the implementation of a Community Health Worker (CHW) network in La Cienaga (starting June 2019), San Cristobal (starting June 2019), and Los Tres Brazos (starting December 2019) through December 2022, including periods affected by COVID-19.Performance was assessed across three time periods: pre-COVID-19 (up to April 2020), during COVID-19 (March 2020 to July 2021), and post-COVID-19 (August 2021 to December 2022). The COVID-19 period included lockdown (March 2020-September 2020), restrictions (September 2020-February 2021), and administrative delays (February 2021-July 2021).Two primary data sources were used: SurveyCTO, an online platform for CHW monitoring and evaluation, and the Ministry of Health's (MoH) malaria database. SurveyCTO provided data on CHW performance, including the number of houses visited, persons contacted, tests performed, and cases detected. Weekly evaluations from SurveyCTO resulted in 4,989 CHW monitoring and evaluation forms. The MoH database provided data on epidemiological trends and case management practices.Data for the three foci (La Cienaga, San Cristobal, and Los Tres Brazos) were analyzed individually and presented across four categories: household visitation, malaria testing, malaria case detection, and time between symptom onset and treatment. Data were assessed during each of the three time periods, and paired t-tests were used to compare household visits, rapid diagnostic tests (RDTs) performed, cases detected, and test positivity across the periods, using Stata version 14.2.
DOI: 10.6084/m9.figshare.26124820.v1
title: CHW Study Data - Dominican Republic 2019-2022

description: This data corresponds to a study that examines the impact and effectiveness of a Community Health Worker (CHW) network in the Greater Santo Domingo foci of the Dominican Republic. Data was analyzed from the implementation of a Community Health Worker (CHW) network in La Cienaga (starting June 2019), San Cristobal (starting June 2019), and Los Tres Brazos (starting December 2019) through December 2022, including periods affected by COVID-19.Performance was assessed across three time periods: pre-COVID-19 (up to April 2020), during COVID-19 (March 2020 to July 2021), and post-COVID-19 (August 2021 to December 2022). The COVID-19 period included lockdown (March 2020-September 2020), restrictions (September 2020-February 2021), and administrative delays (February 2021-July 2021).Two primary data sources were used: SurveyCTO, an online platform for CHW monitoring and evaluation, and the Ministry of Health's (MoH) malaria database. SurveyCTO provided data on CHW performance, including the number of houses visited, persons contacted, tests performed, and cases detected. Weekly evaluations from SurveyCTO resulted in 4,989 CHW monitoring and evaluation forms. The MoH database provided data on epidemiological trends and case management practices.Data for the three foci (La Cienaga, San Cristobal, and Los Tres Brazos) were analyzed individually and presented across four categories: household visitation, malaria testing, malaria case detection, and time between symptom onset and treatment. Data were assessed during each of the three time periods, and paired t-tests were used to compare household visits, rapid diagnostic tests (RDTs) performed, cases detected, and test positivity across the periods, using Stata version 14.2.
DOI: 10.5281/zenodo.4541554
title: Three line trajectory X-ray tomography datasets of a small wooden block

description: SummaryThis submission contains three tomographic datasets of a small wooden block.The data is made available as part of [Bossema et al., 2021].  

ApparatusThe dataset is acquired using the custom-built and highly flexible CT scanner, FleX-ray Laboratory, developed by TESCAN-XRE, located at CWI in Amsterdam. This apparatus consists of a cone-beam microfocus X-ray point source that projects polychromatic X-rays onto a 1944-by-1536 pixels, 14-bit, flat detector panel. Full details can be found in [Coban 2020]. Sample InformationThe sample is small wooden block of conifer wood (10x12x3cm).

Experimental PlanThe data in this submission was collected to compare CT (see Zenodo dataset 10.5281/zenodo.4533882) reconstructions to reconstructions obtained using a line trajectory (LT) scanning method and to investigate the effect of the orientation of the block on the LT reconstructions (see Figures 3 and 5 in [Bossema et al, 2021]).The dataset consists of three LT datasets with the wood in different orientations.All raw data (i.e. no corrections) is made available in .tif format. List of ContentsThe content of the submission is given below.



LT_flat: 2201 projections, with the wood in orientation corresponding to fig. 4a in [Bossema et al., 2021]

LT_upright: 2001 projections, with the wood in orientation corresponding to fig. 4b in [Bossema et al., 2021]

LT_upfront: 2201 projections, with the wood in orientation corresponding to fig. 4c in [Bossema et al., 2021]


Each data folder contains:



dark-field (or closed-shutter) image, di000000.tif,

flat-field (or open-shutter) image before acquisition, io000000.tif, and after acquisition, io000001.tif,

raw (unprocessed or uncorrected) projections, scan_*.tif,

scan settings.txt, a text file with scanner metadata in more human readable format, and

script_executed.txt, the text file containing the list of commands the apparatus has executed.


Additional LinksThese datasets are produced by the Computational Imaging group at Centrum Wiskunde & Informatica (CI-CWI). For any relevant Python/MATLAB scripts for the FleX-ray datasets, we refer the reader to our group's GitHub page. Contact DetailsFor more information or guidance in using these datasets, please get in touch with



    bossema [at] cwi.nl


 AcknowledgmentsThe authors would like to acknowledge the funding from the Netherlands Organisation for Scientific Research (NWO), project numbers 341-60-001, 639.073.506 and 628.007.033 and Netherlands Institute for Conservation, Art and Science (NICAS).
DOI: 10.5281/zenodo.4541555
title: Three line trajectory X-ray tomography datasets of a small wooden block

description: SummaryThis submission contains three tomographic datasets of a small wooden block.The data is made available as part of [Bossema et al., 2021].  

ApparatusThe dataset is acquired using the custom-built and highly flexible CT scanner, FleX-ray Laboratory, developed by TESCAN-XRE, located at CWI in Amsterdam. This apparatus consists of a cone-beam microfocus X-ray point source that projects polychromatic X-rays onto a 1944-by-1536 pixels, 14-bit, flat detector panel. Full details can be found in [Coban 2020]. Sample InformationThe sample is small wooden block of conifer wood (10x12x3cm).

Experimental PlanThe data in this submission was collected to compare CT (see Zenodo dataset 10.5281/zenodo.4533882) reconstructions to reconstructions obtained using a line trajectory (LT) scanning method and to investigate the effect of the orientation of the block on the LT reconstructions (see Figures 3 and 5 in [Bossema et al, 2021]).The dataset consists of three LT datasets with the wood in different orientations.All raw data (i.e. no corrections) is made available in .tif format. List of ContentsThe content of the submission is given below.



LT_flat: 2201 projections, with the wood in orientation corresponding to fig. 4a in [Bossema et al., 2021]

LT_upright: 2001 projections, with the wood in orientation corresponding to fig. 4b in [Bossema et al., 2021]

LT_upfront: 2201 projections, with the wood in orientation corresponding to fig. 4c in [Bossema et al., 2021]


Each data folder contains:



dark-field (or closed-shutter) image, di000000.tif,

flat-field (or open-shutter) image before acquisition, io000000.tif, and after acquisition, io000001.tif,

raw (unprocessed or uncorrected) projections, scan_*.tif,

scan settings.txt, a text file with scanner metadata in more human readable format, and

script_executed.txt, the text file containing the list of commands the apparatus has executed.


Additional LinksThese datasets are produced by the Computational Imaging group at Centrum Wiskunde & Informatica (CI-CWI). For any relevant Python/MATLAB scripts for the FleX-ray datasets, we refer the reader to our group's GitHub page. Contact DetailsFor more information or guidance in using these datasets, please get in touch with



    bossema [at] cwi.nl


 AcknowledgmentsThe authors would like to acknowledge the funding from the Netherlands Organisation for Scientific Research (NWO), project numbers 341-60-001, 639.073.506 and 628.007.033 and Netherlands Institute for Conservation, Art and Science (NICAS).
DOI: 10.15468/dl.tqvme3
title: Occurrence Download

description: A dataset containing 11945961 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Ecuador"
 ]
}

 The dataset includes 11945961 records from 2229 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043725-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qjqyc3
title: Occurrence Download

description: A dataset containing 4279 species occurrences available in GBIF matching the query:
{
 "PublishingOrg" : [
 "is 4c882fee-876a-4b32-b218-67b2bdd42579"
 ]
}

 The dataset includes 4279 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064788-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jhjjnf
title: Occurrence Download

description: A dataset containing 5376 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Oxalis pes-caprae L."
 ]
}

 The dataset includes 5376 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063240-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.