cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17028/rd.lboro.30589949.v1
title: A Photovoice study uncovering women's experiences of homelessness: images by participant ten

description: This dataset is taken from a Photovoice study, which is part of the PhD thesis titled ‘HOME IS WHERE THE HOPE IS: UNCOVERING THE HIDDENNESS IN WOMEN’S EXPERIENCES OF HOMELESSNESS’, by Sara Christou.<br>A total of seventeen women participated in the research, of whom seven contributed to the Photovoice study. The collection of images in this dataset were taken by participant ten.<br>The research was conducted through semi-structured interviews and a Photovoice study, capturing the women’s tacit knowledge to produce a rich set of textual and visual data, which provide contributions to knowledge on homelessness and hopefulness. The thesis presents that hiddenness can be conceptualised as a way of understanding women’s experiences of transitioning-out of homelessness, through the politics and pragmatics of (in)visibility. It further uncovers insights from women who have faced crises and continue to evoke their hopes, and those who have lost hope through the loss of home. From this, transitioning-out of homelessness is part of a new belonging cultivated through the mobilisation of hope.
DOI: 10.25549/inscriptifact-ouc110827074
title: Persepolis Fortification Elamite Tablet 2293.105, Fort 2293.105

description: [Text Description:] Administrative text with seal ❧ [Text or Publication Number Note:] Fort 2293.105 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impression on upper edge? ❧ [Physical Object Note:] Upper section of tablet is broken off. Cracks on obverse, reverse.
DOI: 10.5281/zenodo.16942187
title: Data sets used in the "Research on external risk prediction of Belt and Road major projects based on machine learning" study

description: “Research on external risk prediction of Belt and Road major projects based on machine learning” research used dataset with dataset and associated code
DOI: 10.15468/dl.2jbx24
title: Occurrence Download

description: A dataset listing the 5580 species recorded in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arachnida",
 "SpeciesKey is not null",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "TaxonomicStatus is Accepted",
 "Geometry POLYGON ((-39.86247 20.81647, -39.85492 20.79109, -39.55779 19.79247, -39.54442 19.75677, -36.82572 12.11784, -30.69658 6.05892, -22.89386 -4.84713, -21.15740 -11.30998, -20.80541 -27.46710, -21.70829 -38.83875, -22.72881 -47.00559, -22.54533 -46.99240, 0.51688 -45.24035, 22.15932 -43.23852, 54.02544 -41.68654, 69.64541 -40.58038, 80.90519 -39.03699, 88.59091 -36.17768, 90.63725 -33.28841, 85.01075 -32.66779, 81.71306 -31.03200, 73.52019 -26.96802, 70.17713 -23.67969, 67.47859 -8.99183, 64.29434 13.80724, 63.50568 25.20678, 63.46904 25.27693, 62.25703 25.17740, 59.52211 25.37516, 57.48978 25.67181, 57.12551 26.36399, 56.91574 26.90785, 56.43203 27.15505, 55.75276 26.85841, 54.67797 26.61120, 53.28165 26.95729, 51.88812 27.74835, 50.66887 29.33048, 49.91704 30.12155, 48.88259 30.22043, 48.00614 29.82490, 47.96273 29.52825, 48.51035 28.04500, 49.62107 27.25394, 49.96299 26.31455, 50.80921 24.68298, 50.81247 25.72125, 51.10454 26.21567, 51.47707 25.96846, 51.61067 25.17740, 51.51571 24.28745, 52.29936 24.08968, 53.46874 24.28745, 54.69662 24.48521, 55.38995 25.02907, 55.90770 25.02907, 55.93324 24.23801, 56.11594 22.75476, 57.86280 21.96370, 58.07001 21.22207, 57.67322 20.13436, 56.72802 19.24441, 56.33357 18.70056, 55.25535 18.10726, 54.74428 17.46452, 53.57645 17.06899, 52.83929 17.06899, 51.66650 16.57457, 48.54090 15.63518, 46.22797 14.84412, 45.11817 15.19021, 44.70238 15.78351, 44.51388 17.21731, 44.60283 18.45335, 43.89348 18.84888, 42.92183 19.54106, 42.39585 20.87598, 40.66038 22.85364, 38.56821 24.73242, 38.12353 24.93019, 38.02810 24.43577, 38.92063 24.08968, 39.71667 23.24917, 38.94128 22.06258, 37.24122 19.73883, 36.95313 19.68939, 35.53670 18.89832, 34.64029 18.15670, 34.05033 17.76117, 31.87813 17.46452, 30.38186 17.01954, 29.22176 16.42624, 27.94372 15.63518, 27.08566 15.38797, 26.08000 15.73406, 24.97667 16.52513, 24.44099 17.49344, 23.55320 17.84233, 21.24956 17.84233, 20.93167 17.31899, 20.20695 16.53399, 18.18943 15.83621, 12.89401 15.66177, 11.09844 15.74899, 10.30743 16.27232, 10.32516 17.40621, 9.94462 18.62733, 8.95254 19.32510, 7.83973 18.71455, 7.12829 17.92955, 5.71953 17.23177, 4.52003 17.40621, 2.62243 18.36566, -0.98607 18.19122, -6.69264 17.66788, -9.69926 17.84233, -11.64596 20.02288, -12.96677 20.63344, -14.05659 19.93566, -16.00696 17.75510, -20.62527 18.10399, -27.07789 18.97622, -33.34050 19.67399, -39.86247 20.81647))"
 ]
}

 The dataset's 5580 records were derived from 236 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042446-250811113504898/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.28737923
title: Bidirectional enrichment of OpenStreetMap and CityGML 3.0 to enhance cycling safety assessment

description: Safety concerns remain a barrier to the widespread adoption of cycling. Assessing cycling safety facilitates planning safer cycling routes, which helps boost cycling confidence, especially among older adults and novice cyclists. However, the existing research primarily concentrates on assessing cycling safety at regional or urban levels, with few studies using data-driven methods to assess safety at the road segment level, often without considering detailed lane information. This article proposes a novel approach that leverages the complementary strengths of OSM’s rich semantic information on roads and CityGML with lane-level geometry to enhance cycling safety assessment. Precisely, an informed map matching using Kernel Density Estimation (KDE) for bidirectional attribute transfer, road segment safety scores calculation, and CityGML enrichment with cycling safety are introduced in detail. OpenDRIVE data from the Test Track for Autonomous and Connected Driving (TAVF) in Hamburg, Germany, was converted to a CityGML 3.0-compliant structure using the r:tr˚an tool and used together with the corresponding OSM data for experimental analysis. The experimental results show that integrating OSM and CityGML is conducive to improving the comprehensive cycling safety assessment at the road segment level. The assessment results are further embedded into bicycle-related semantics within CityGML 3.0 for the subsequent 3D representation of cycling safety, paving the way for safest path navigation and enhanced perception of cycling safety in 3D environments.
DOI: 10.6084/m9.figshare.28737923.v3
title: Bidirectional enrichment of OpenStreetMap and CityGML 3.0 to enhance cycling safety assessment

description: Safety concerns remain a barrier to the widespread adoption of cycling. Assessing cycling safety facilitates planning safer cycling routes, which helps boost cycling confidence, especially among older adults and novice cyclists. However, the existing research primarily concentrates on assessing cycling safety at regional or urban levels, with few studies using data-driven methods to assess safety at the road segment level, often without considering detailed lane information. This article proposes a novel approach that leverages the complementary strengths of OSM’s rich semantic information on roads and CityGML with lane-level geometry to enhance cycling safety assessment. Precisely, an informed map matching using Kernel Density Estimation (KDE) for bidirectional attribute transfer, road segment safety scores calculation, and CityGML enrichment with cycling safety are introduced in detail. OpenDRIVE data from the Test Track for Autonomous and Connected Driving (TAVF) in Hamburg, Germany, was converted to a CityGML 3.0-compliant structure using the r:tr˚an tool and used together with the corresponding OSM data for experimental analysis. The experimental results show that integrating OSM and CityGML is conducive to improving the comprehensive cycling safety assessment at the road segment level. The assessment results are further embedded into bicycle-related semantics within CityGML 3.0 for the subsequent 3D representation of cycling safety, paving the way for safest path navigation and enhanced perception of cycling safety in 3D environments.
DOI: 10.6084/m9.figshare.28737923.v2
title: Bidirectional enrichment of OpenStreetMap and CityGML 3.0 to enhance cycling safety assessment

description: Safety concerns remain a barrier to the widespread adoption of cycling. Assessing cycling safety facilitates planning safer cycling routes, which helps boost cycling confidence, especially among older adults and novice cyclists. However, the existing research primarily concentrates on assessing cycling safety at regional or urban levels, with few studies using data-driven methods to assess safety at the road segment level, often without considering detailed lane information. This article proposes a novel approach that leverages the complementary strengths of OSM’s rich semantic information on roads and CityGML with lane-level geometry to enhance cycling safety assessment. Precisely, an informed map matching using Kernel Density Estimation (KDE) for bidirectional attribute transfer, road segment safety scores calculation, and CityGML enrichment with cycling safety are introduced in detail. OpenDRIVE data from the Test Track for Autonomous and Connected Driving (TAVF) in Hamburg, Germany, was converted to a CityGML 3.0-compliant structure using the r:tr˚an tool and used together with the corresponding OSM data for experimental analysis. The experimental results show that integrating OSM and CityGML is conducive to improving the comprehensive cycling safety assessment at the road segment level. The assessment results are further embedded into bicycle-related semantics within CityGML 3.0 for the subsequent 3D representation of cycling safety, paving the way for safest path navigation and enhanced perception of cycling safety in 3D environments.
DOI: 10.15468/dl.74r38n
title: Occurrence Download

description: A dataset containing 230404 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Nigeria",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 230404 records from 246 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042405-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xvrevf
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Nothobranchius ottoschmidti)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042461-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16722602
title: Kasteev Museum Models and Dataset Iteration 1 & Iteration 2

description: The first iteration of the dataset of approximately 60 labeled images per class was created. The number of classes is 39. The second iteration of the dataset has limited sample size that led to insufficient recognition performance (~30% accuracy during in-museum testing). To address this, the dataset was augmented by repeating the same video processing methodology, resulting in an average of 120 images per class. This enhancement allowed the models to generalize better and significantly improved recognition accuracy (up to 96%).
DOI: 10.5281/zenodo.16941686
title: Kasteev Museum Models and Dataset Iteration 1 & Iteration 2

description: The first iteration of the dataset of approximately 60 labeled images per class was created. The number of classes is 39. The second iteration of the dataset has limited sample size that led to insufficient recognition performance (~30% accuracy during in-museum testing). To address this, the dataset was augmented by repeating the same video processing methodology, resulting in an average of 120 images per class. This enhancement allowed the models to generalize better and significantly improved recognition accuracy (up to 96%).
DOI: 10.15468/dl.q6kd87
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trifolium campestre",
 "Country is Argentina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042464-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/rnflcs
title: Replication Data for: Saving Lives Through Technology: Mobile Phones and Infant Mortality

description: This package provides data and do-files for replicating the above paper.
DOI: 10.57780/esa-9c31260
title: JUICE RADEM Instrument raw data collection

description: This is the archive collection for the JUICE RADiation hard Electron Monitor (RADEM) instrument raw data. It contains the science and housekeeping raw data.
DOI: 10.6084/m9.figshare.29949551
title: Data of the manuscript "Interactions between rare and common variant genetic risks in determining telomere length".

description: This dataset contains the GWAS summary statistics and rare-variant associations from the study <b>“Interactions between rare and common variant genetic risks in determining telomere length.”</b> Relevant codes are deposited in https://github.com/shiyuzhang0522/Interaction-cvPGS-rvPGS.git.
DOI: 10.6084/m9.figshare.29949551.v1
title: Data of the manuscript "Interactions between rare and common variant genetic risks in determining telomere length".

description: This dataset contains the GWAS summary statistics and rare-variant associations from the study <b>“Interactions between rare and common variant genetic risks in determining telomere length.”</b> Relevant codes are deposited in https://github.com/shiyuzhang0522/Interaction-cvPGS-rvPGS.git.
DOI: 10.15468/dl.vpyntm
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trifolium campestre",
 "Country is Belarus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 38 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042466-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kdnx9k
title: Occurrence Download

description: A dataset containing 30148 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is ENGIE | Fauna's Surveillance Program – Assú Sol Photovoltaic Complex, Rio Grande do Norte - Brazil"
 ]
}

 The dataset includes 30148 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042463-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gnqvnj
title: Occurrence Download

description: A dataset containing 12784 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trifolium campestre",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12784 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042465-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jfayxd
title: Occurrence Download

description: A dataset containing 59 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Steindachnerina leucisca)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 59 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042467-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25835/rsjz3w2k
title: Light microscopy data from a parameter study on 316L/CuCrZr multi-material specimens

description: This dataset was generated in the context of a parameter study in the paper:
_Supplementary data of “Additive manufacturing of multi-material parts – Influence of process parameters on interfacial characterization of 316L/CuCrZr in laser powder bed fusion"_ 

It includes data of Light microscropy of 7 specimens with the following sample number: 1, 8, 24, 25, 32, 33, 40.

* __Materials:__ 316L (Carpenter Additive) and CuCrZr (Eckart TLS GmbH)
* __PBF-LB Machine:__ Aconity MIDI+ equipped with an integrated Aerosint SPD Recoater V1.0
* __Mounting material:__ AB-Zenopox
* __Grinding machine:__ Struers Tegramin-30
* __Light microscope:__ Olympus BX61 with DP74 camera

![Exemplary light microscopy image of a 316L/CuCrZr multi-material sample (Sample 1)](https://data.uni-hannover.de/de/dataset/b42039da-ced8-4f90-8055-02f4c7c422d6/resource/1b79b228-2cf9-4be2-9ded-9fcdcfca6bce/download/exemplary_light_microscopy_image_sample1.png)
Exemplary light microscopy image of a 316L/CuCrZr multi-material sample (Sample 1)

### References

Meyer, I., Oel, M., Ehlers, T., & Lachmayer, R. (2023). *Additive manufacturing of multi-material parts – Design guidelines for manufacturing of 316L/CuCrZr in laser powder bed fusion*. Heliyon, 9(8), e18301. https://doi.org/10.1016/j.heliyon.2023.e18301

Ina Meyer, Roland Lachmayer (2025). *Additive manufacturing data from a parameter study on 316L/CuCrZr multi-material specimens* [Data set]. LUIS. https://doi.org/10.25835/7p6wv6cg

Ina Meyer, Roland Lachmayer (2025). *µCT data from a parameter study on 316L/CuCrZr multi-material specimens* [Data set]. LUIS. https://doi.org/10.25835/bi1jbiq9

Ina Meyer, Roland Lachmayer (2025). *SEM data from a parameter study on 316L/CuCrZr multi-material specimens* [Data set]. LUIS. https://doi.org/10.25835/wan2sabi

### Acknowledgments

The project ”*Additive Fertigung multimaterieller Komponenten zur nachhaltigen Energiewandlung*” was funded by the European Regional Development Fund (ERDF) and the state of Lower Saxony – Project number ZW 7-87011865.

The project ”*Major Research Instrumentation for integration of efficient effects in multi-material structural components*” was funded by the Deutsche Forschungsgemeinschaft (DFG - German Research Foundation) - Project number 445707542.
DOI: 10.15468/dl.u3n7gg
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trifolium campestre",
 "Country is Chile",
 "HasCoordinate is true"
 ]
}

 The dataset includes 21 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042471-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ybntae
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (ae447c50-b8a8-11d8-92a4-b8a03c50a862, 8e1a97a0-3ca8-11d9-8439-b8a03c50a862, bc092ff0-02e4-11dc-991f-b8a03c50a862, 061b4f20-f241-11da-a328-b8a03c50a862, c54097e6-0972-4acb-b849-eaeba29c917d, 6ba9a8cc-513a-4a51-bf93-6f5de8040a96, 7b8aff00-a9f8-11d8-944b-b8a03c50a862)",
 "TaxonKey is Couroupita guianensis"
 ]
}

 The dataset includes 39 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042468-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yhx6a5
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trifolium campestre",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 69 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042469-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tvx5sf
title: Occurrence Download

description: A dataset containing 1449 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trifolium campestre",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1449 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042470-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rg5ghn
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Marcusenius abadii)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042472-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.68t3jy
title: Occurrence Download

description: A dataset containing 437 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Torreya grandis"
 ]
}

 The dataset includes 437 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042473-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14974744
title: Dataset for magneto-optical spectroscopy of benzotriazole-based ammonium cation and its difluorinated derivative

description: Dataset for scientific publication entitled: Engineering the Effective Mass in 2D Perovskites via Octahedral Distortion.

 

This dataset includes raw photoluminescence excitation spectroscopy and reflectivity spectra of a single crystal- BTA2PbI4 and (F2BTa)2PbI4. The reflectivity spectra were measured in a pulsed magnetic field up to 90T. The values of the magnetic field in each acquisition frame of a given pulse are reported in the corresponding *.dat file. In this file, the three columns relate to the value of the field at the beginning of the acquisition, at the end of the acquisition, and to the magnetic field value averaged over the duration of the acquisition frame.