cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/66a-89a-7sf
title: Bunias erucago L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/jng-pjw-xjs
title: Cardamine dentata Schult.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/rf0-txe-e0m
title: Cardamine dentata Schult.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/5fx-a7h-26b
title: Cardamine impatiens L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/5w0-9sd-n75
title: Muellerella pygmaea var. pygmaea (Körb.) D. Hawksw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/zvd-kr9-gvc
title: Cardamine hirsuta L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/bft-1f0-dgf
title: Physcia adscendens (Fr.) H. Olivier

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/bn3-5d1-gkg
title: Cardamine resedifolia L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/192-2xd-mgp
title: Muellerella pygmaea var. athallina (Müll. Arg.) Triebel

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/p6j-5wy-a9j
title: Potentilla inclinata Vill.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/pzt-fmz-9w7
title: Cardamine impatiens L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/6c8-49h-apz
title: Cardamine hirsuta L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/lq5-wml-6fd
title: Cardamine hirsuta L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/s0q-29f-a48
title: Cardamine impatiens L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.46jwrh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tracheophyta)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-112.5 -60,-105 -60,-105 -52.5,-112.5 -52.5,-112.5 -60))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035362-251009101135966/datasets/export for details.
DOI: 10.3535/4f0-rbv-9p6
title: Bunias orientalis L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/weh-tmh-07q
title: Lecidella Körb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/x7f-vgf-2vx
title: Cardamine impatiens L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/a4f-6p1-l32
title: Cardamine impatiens L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/c03-ce6-h3p
title: Cardamine resedifolia L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/hlh-hrr-tcm
title: Cardamine impatiens L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.tqvnx2
title: Occurrence Download

description: A dataset containing 5485748 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tracheophyta)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((22.5 60,30 60,30 67.5,22.5 67.5,22.5 60))"
 ]
}

 The dataset includes 5485748 records from 234 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035308-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cbq3ht
title: Occurrence Download

description: A dataset containing 5468924 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Pernis apivorus (Linnaeus, 1758), Lanius collurio Linnaeus, 1758, Garrulus glandarius (Linnaeus, 1758))"
 ]
}

 The dataset includes 5468924 records from 6524 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062978-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15233782
title: New Zealand Coastal Characteristics Database (NZL-CCD)

description: This dataset presents a New Zealand Coastal Characteristics Database (NZL-CCD), offering a comprehensive suite of indicators describing the morphological, environmental, and human-influenced characteristics of 1,750 sandy beaches across the entire coastline of New Zealand.

The database integrates a variety of geospatial sources to derive beach morphological properties, high-resolution elevation-based coastal slopes, natural environmental drivers, and socio-economic indicators, all consistently aggregated at the beach unit scale. A total of 12 variables are provided for each beach polygon, capturing the multi-dimensional nature of coastal processes and human interactions.

The morphological indicators include beach area, length, width, and curvature, extracted from OpenStreetMap-labeled beach polygons using a minimum bounding geometry and segmentation strategy. Coastal slopes were derived from 1-meter resolution airborne LiDAR DEMs, enabling detailed characterization of intertidal topography with high vertical accuracy (0.2 m).

The natural environmental indicators include mean sea level, storm surge residuals, tidal elevation, total water level, wind speed, and significant wave height. These were extracted primarily from the CoDEC-ERA5 reanalysis product and IMOS altimetry-derived wave datasets, representing historical and climatological oceanographic conditions from 1984 to 2024.

The socio-economic indicators—namely, population density and built-up area—were obtained from the Global Human Settlement Layer (GHSL) for the year 2020, serving as proxies for anthropogenic pressure and urban exposure along the coastal zone.

By combining high-resolution elevation data, dynamic environmental forcings, and human exposure metrics, this dataset supports multivariate analyses of coastal slope variability and its natural and anthropogenic drivers. It provides a valuable foundation for vulnerability assessments, coastal modeling, and policy-relevant coastal management research in the context of sea-level rise and coastal change.
DOI: 10.5281/zenodo.15233783
title: New Zealand Coastal Characteristics Database (NZL-CCD)

description: This dataset presents a New Zealand Coastal Characteristics Database (NZL-CCD), offering a comprehensive suite of indicators describing the morphological, environmental, and human-influenced characteristics of 1,750 sandy beaches across the entire coastline of New Zealand.

The database integrates a variety of geospatial sources to derive beach morphological properties, high-resolution elevation-based coastal slopes, natural environmental drivers, and socio-economic indicators, all consistently aggregated at the beach unit scale. A total of 12 variables are provided for each beach polygon, capturing the multi-dimensional nature of coastal processes and human interactions.

The morphological indicators include beach area, length, width, and curvature, extracted from OpenStreetMap-labeled beach polygons using a minimum bounding geometry and segmentation strategy. Coastal slopes were derived from 1-meter resolution airborne LiDAR DEMs, enabling detailed characterization of intertidal topography with high vertical accuracy (0.2 m).

The natural environmental indicators include mean sea level, storm surge residuals, tidal elevation, total water level, wind speed, and significant wave height. These were extracted primarily from the CoDEC-ERA5 reanalysis product and IMOS altimetry-derived wave datasets, representing historical and climatological oceanographic conditions from 1984 to 2024.

The socio-economic indicators—namely, population density and built-up area—were obtained from the Global Human Settlement Layer (GHSL) for the year 2020, serving as proxies for anthropogenic pressure and urban exposure along the coastal zone.

By combining high-resolution elevation data, dynamic environmental forcings, and human exposure metrics, this dataset supports multivariate analyses of coastal slope variability and its natural and anthropogenic drivers. It provides a valuable foundation for vulnerability assessments, coastal modeling, and policy-relevant coastal management research in the context of sea-level rise and coastal change.
DOI: 10.15468/dl.bgmf3g
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonId is 49",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2022",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "Country is United States of America",
 "StateProvince is PA"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 120",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005779-250920141307145/datasets/export for details.
DOI: 10.3886/e236982v3
title: ECIN Replication Package for "Impacts of the USDA Broadband Initiatives Program on house prices"

description: The data referenced in this archive were used to analyze the impacts of the United States Department of Agriculture (USDA) Broadband Initiatives Program (BIP) grants and loans on house prices. The data used include proprietary CoreLogic data on house sales transactions and house characteristics, confidential USDA Rural Utilities Service administrative data on BIP projects and project service areas, and publicly available data on broadband availability from the National Telecommunications and Information Administration State Broadband Initiative/National Broadband Map, on Rural-Urban Commuting Areas from the USDA Economic Research Service, and data on census block areas from the 2010 Census of Population. This data archive includes either raw or processed versions of the publicly available data, but excludes the confidential proprietary and administrative data. All programs used to process and analyze the data are included in this archive. Those programs are either R or Stata code.
description: Sale transactions of single-family houses in or near project service areas of the USDA Broadband Initiatives Program.
DOI: 10.6084/m9.figshare.30179305
title: Folder with all data and algorithms

description: Spatially Offset Raman Spectroscopy (SORS) has emerged as a potential tool for non-invasive biomedical diagnostics, enabling molecularly specific probing of subsurface tissues. Despite its promise, clinical translation remains constrained by competing demands for signal strength and patient safety under laser illumination. In this study, we present an open-source, Python-based computational framework that unifies photon transport modeling, probe geometry optimization, and photothermal safety assessment into a single workflow. Using Monte Carlo simulations coupled with Pennes’ bioheat and Arrhenius/CEM43 damage models, we evaluate four SORS frameworks: conventional puck-point, ring-collector, inverse SORS (iSORS), and a novel reinforced iSORS (riSORS) on a skin model. Results demonstrate that ring-based illumination strategies substantially mitigate thermal loading, extending safe exposure times by over 50-fold compared to point sources, while simultaneously enabling up to 100× greater accumulation of usable Raman energy prior to tissue damage. Among the tested geometries, riSORS achieved the best balance of subsurface selectivity and photon capture efficiency, outperforming conventional approaches in both spectroscopic yield and safety margins. The framework also supports sensitivity analyses across tissue optical properties, illustrating its utility for assessing inter-patient variability. While the current implementation assumes simplified optical and thermal parameters and requires experimental validation, it provides a quantitative roadmap for designing clinically viable SORS probes. By explicitly linking geometric design to damage-limited signal collection, this approach bridges the gap between theoretical optimization and translational feasibility, offering a versatile platform to accelerate the safe deployment of SORS in biomedical applications.
DOI: 10.6084/m9.figshare.30179305.v1
title: Folder with all data and algorithms

description: Spatially Offset Raman Spectroscopy (SORS) has emerged as a potential tool for non-invasive biomedical diagnostics, enabling molecularly specific probing of subsurface tissues. Despite its promise, clinical translation remains constrained by competing demands for signal strength and patient safety under laser illumination. In this study, we present an open-source, Python-based computational framework that unifies photon transport modeling, probe geometry optimization, and photothermal safety assessment into a single workflow. Using Monte Carlo simulations coupled with Pennes’ bioheat and Arrhenius/CEM43 damage models, we evaluate four SORS frameworks: conventional puck-point, ring-collector, inverse SORS (iSORS), and a novel reinforced iSORS (riSORS) on a skin model. Results demonstrate that ring-based illumination strategies substantially mitigate thermal loading, extending safe exposure times by over 50-fold compared to point sources, while simultaneously enabling up to 100× greater accumulation of usable Raman energy prior to tissue damage. Among the tested geometries, riSORS achieved the best balance of subsurface selectivity and photon capture efficiency, outperforming conventional approaches in both spectroscopic yield and safety margins. The framework also supports sensitivity analyses across tissue optical properties, illustrating its utility for assessing inter-patient variability. While the current implementation assumes simplified optical and thermal parameters and requires experimental validation, it provides a quantitative roadmap for designing clinically viable SORS probes. By explicitly linking geometric design to damage-limited signal collection, this approach bridges the gap between theoretical optimization and translational feasibility, offering a versatile platform to accelerate the safe deployment of SORS in biomedical applications.
DOI: 10.15468/dl.krnkmn
title: Occurrence Download

description: A dataset containing 288 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tityus stigmurus"
 ]
}

 The dataset includes 288 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005781-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15151/esrf-es-2220629640
title: X-ray magnetochiral dichroism in a series of mononuclear Co(II) single-molecule magnets

description: Magnetochiral dichroism (MχD) arises in systems where both spatial and time-reversal symmetries are simultaneously broken. Despite its fundamental interest, only a few examples have been reported, particularly in the X-ray range, and there is limited understanding of the factors leading to the phenomenon. This proposal aims to investigate X-ray MχD in a series of four Co(II) single-molecule magnets. The four compounds, all of which crystallize in non-centrosymmetric space groups, vary in their organic ligands-either chiral or achiral-and their organic counter cations. Additionally, these compounds exhibit strong single-ion magnetic anisotropy, resulting in the observation of slow relaxation of the magnetization in all compounds, with one showing a magnetic order. Taken together, these compounds are promising candidates for investigating X-ray MχD at the Co K-edge (ID12), with a particular focus on the influence of the local chiral environment.
DOI: 10.15468/dl.etdqb8
title: Occurrence Download

description: A dataset containing 5619 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Berberis darwinii",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 5619 records from 153 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005783-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d2qayd
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyperus difformis",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005784-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.76j5ry
title: Occurrence Download

description: A dataset containing 123 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 Potentilla acaulis",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 123 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005782-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2uacvn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyperus difformis",
 "Country is Bolivia (Plurinational State of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005785-250920141307145/datasets/export for details.
DOI: 10.25430/researchdata.cab.unipd.it.00001649
title: Dataset on Responsibility and Agency in Humanist Texts

description: This dataset contains text excerpts from websites and publications of the humanist associations included in the research “RE-Green - Re- Greening Parental Responsibilities: An International Research Study on Humanist parents’ pro-environmental activism” led by Dr Morena Tartari, the Principal Investigator. The datasheet provides two dataset respectively focusing on ‘responsibility’ in humanist ethics and ‘agency’ from a humanistic perspective. 1) The main references for the ethics concerning the retrieval of data in this datasheet draw on the British Sociological Association's Ethics Guidelines and Collated Resources for Digital Research Statement of Ethical Practice Annex and the National Committee for Research Ethics in the Social Sciences and the Humanities (NESH - De Nasjonale Forskningsetiske Komiteene). This research has obtained ethics approval from the Research Ethics Committee of the FISPPA Department (CERD) at the University of Padua, upon a positive review with reference number 0003405 (UOR: D04000C -Classif. III-13) approved and registered on 27.07.2023. 2) Quotes from individuals without a current or past organizational role in or affiliation with the Humanist associations, retrieved from the websites or publications referred to in the datasheet are anonymized to avoid impacting their digital footprint. 3) The analysis of the materials that are not freely and publicly available on the websites and associated websites of the referenced humanist associations, are removed from the data sheet by 21 February 2024, which is available for reuse. 4) Non-English texts were machine-translated into English.
DOI: 10.15468/dl.vt6smv
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyperus difformis",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 53 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005786-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.th9g6r
title: Occurrence Download

description: A dataset containing 39396925 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Colombia"
 ]
}

 The dataset includes 39396925 records from 5100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005724-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rwvt47
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"1746373","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015155-241024112534372/datasets/export for details.
DOI: 10.15468/dl.qp894p
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"3981185","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015157-241024112534372/datasets/export for details.