cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25505/fiz.icsd.cc2ph0t1
title: CSD 2487093: Experimental Crystal Structure Determination

description: Related Article: Kowsik Ghosh, Alexander Ovchinnikov, Michael O. Ogunbunmi, Shanta R. Saha, Johnpierre Paglione, Svilen Bobev|2025|Chem.Mater.|||doi:10.1021/acs.chemmater.5c02660
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/6skwfo
title: KUBI Paleobotany Collection

description: The paleobotany collections, including several “orphaned” collections, is comprised of compression, impression, petrified, and permineralized specimens from Precambrian to Pleistocene stratigraphic horizons and from various localities around the world. The focus of the collection is currently on Permian, Triassic, and Jurassic fossils from Antarctica (Antarctic Collection), the largest collection of Antarctic fossil plants in the world. Additional material includes Pennsylvanian, Permian, and Cretaceous compression-impression specimens from several localities in eastern and central Kansas and coal balls from the Midcontinent, USA.

The Division of Paleobotany was instituted in 1995 when Edith L. Taylor and Thomas N. Taylor moved to the University of Kansas, bringing their extensive collection of fossil plants with them. The Taylor Collection and the Baxter Collection of mostly Kansas coal balls formed the core of the KU Paleobotany collection, but we have acquired other so-called orphaned collections, including portions of the collections of Ted Delevoryas (Triassic of North Carolina; Jurassic of Mexico), Lawrence C. Matten (Devonian of Ireland), Gar W. Rothwell (early seed plants) and Gene Mapes (Pennsylvanian of Kansas, Oklahoma and Texas).
DOI: 10.15468/jqyq1s
title: KUBI Invertebrate Paleontology Collection

description: The University of Kansas invertebrate paleontology collection is ranked among the top 10 largest fossil invertebrate collections in the country and has over 850,000 fossil invertebrate and microfossil specimens from all over the world, including more than 8,200 type or figured specimens. These specimens have been used for research by paleontologists for over 120 years. The collection has taxonomic strengths in Cambrian trilobites from Antarctica and the Great Basin, United States; Upper Paleozoic invertebrates of the mid-continent; Cambrian soft-bodied faunas from Utah; Mesozoic cephalopods from the mid-continent. Research access to the collections is arranged on a case-by-case basis.
DOI: 10.15468/dl.gxeffb
title: Occurrence Download

description: A dataset containing 1800 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "TaxonKey is Canarina canariensis"
 ]
}

 The dataset includes 1800 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021156-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dc9sxd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "HasCoordinate is true",
 "Geometry POLYGON ((-119.4777 34.84199, -119.4773 34.8422, -119.4769 34.84244, -119.4766 34.84269, -119.4762 34.84295, -119.4759 34.84323, -119.4756 34.84352, -119.4753 34.84383, -119.475 34.84415, -119.4748 34.84448, -119.4745 34.84482, -119.4743 34.84517, -119.4742 34.84553, -119.474 34.84589, -119.4739 34.84626, -119.4737 34.84664, -119.4737 34.84702, -119.4736 34.84741, -119.4736 34.84779, -119.4735 34.84818, -119.4736 34.84857, -119.4736 34.84896, -119.4737 34.84934, -119.4737 34.84972, -119.4738 34.8501, -119.474 34.85047, -119.4741 34.85084, -119.4743 34.8512, -119.4745 34.85155, -119.4747 34.85189, -119.476 34.85364, -119.4762 34.85397, -119.4765 34.85429, -119.4768 34.8546, -119.4771 34.8549, -119.4774 34.85518, -119.4778 34.85544, -119.4781 34.8557, -119.4785 34.85593, -119.4789 34.85615, -119.4793 34.85635, -119.4797 34.85654, -119.4801 34.8567, -119.4806 34.85685, -119.481 34.85698, -119.4815 34.85709, -119.4819 34.85718, -119.4824 34.85724, -119.4829 34.85729, -119.4833 34.85732, -119.4838 34.85733, -119.4843 34.85732, -119.4848 34.85728, -119.4852 34.85723, -119.4857 34.85716, -119.4862 34.85706, -119.4866 34.85695, -119.4871 34.85681, -119.4875 34.85666, -119.4879 34.85649, -119.4893 34.85592, -119.4897 34.85573, -119.4901 34.85552, -119.4905 34.8553, -119.4908 34.85506, -119.4912 34.8548, -119.4915 34.85453, -119.4918 34.85425, -119.4921 34.85395, -119.4924 34.85364, -119.4927 34.85332, -119.4929 34.85298, -119.4932 34.85264, -119.4934 34.85229, -119.4935 34.85192, -119.4937 34.85156, -119.4938 34.85118, -119.4939 34.8508, -119.494 34.85042, -119.494 34.85004, -119.4941 34.84965, -119.4941 34.84926, -119.4941 34.84887, -119.494 34.84848, -119.4939 34.8481, -119.4938 34.84772, -119.4937 34.84734, -119.4936 34.84697, -119.4934 34.84661, -119.4928 34.84531, -119.4926 34.84495, -119.4924 34.84461, -119.4921 34.84428, -119.4919 34.84395, -119.4916 34.84364, -119.4913 34.84334, -119.491 34.84305, -119.4907 34.84278, -119.4904 34.84252, -119.49 34.84228, -119.4896 34.84205, -119.4892 34.84183, -119.4888 34.84164, -119.4884 34.84146, -119.488 34.8413, -119.4876 34.84116, -119.4871 34.84104, -119.4867 34.84093, -119.4862 34.84085, -119.4857 34.84078, -119.4853 34.84074, -119.4839 34.84063, -119.4834 34.8406, -119.483 34.8406, -119.4825 34.84061, -119.4821 34.84064, -119.4816 34.84069, -119.4812 34.84076, -119.4807 34.84085, -119.4803 34.84095, -119.4799 34.84108, -119.4794 34.84122, -119.479 34.84138, -119.4786 34.84155, -119.4781 34.84179, -119.4777 34.84199))",
 "Year is greater than or equal to 2001",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021155-251120083545085/datasets/export for details.
DOI: 10.5281/zenodo.17781946
title: Financial stability under cyber and macro-financial shocks: multivariate panel dataset

description: This dataset contains a balanced multivariate panel covering ten European countries (2016–2024), compiled to analyze the impact of cybercrime, digital readiness, and macro-financial turbulence on the resilience of national financial infrastructure. The dataset integrates indicators of cyber readiness (GCI, NCSI), digital infrastructure (SIS), crime intensity (CI), macro-financial instability (WUI, inflation, unemployment, exchange-rate volatility, GDP growth), and financial stability (NPL).

The data were collected from open official sources, including the World Bank, IMF, ENISA Threat Landscape Reports, Numbeo Crime Database, UN datasets, and National Cybersecurity Index (NCSI database). 

This dataset supports research on cyber-financial risks, digital resilience, and macro-financial stability, and may be used for replication, robustness testing, system resilience assessment, and cross-country comparative analysis.
DOI: 10.5281/zenodo.17781947
title: Financial stability under cyber and macro-financial shocks: multivariate panel dataset

description: This dataset contains a balanced multivariate panel covering ten European countries (2016–2024), compiled to analyze the impact of cybercrime, digital readiness, and macro-financial turbulence on the resilience of national financial infrastructure. The dataset integrates indicators of cyber readiness (GCI, NCSI), digital infrastructure (SIS), crime intensity (CI), macro-financial instability (WUI, inflation, unemployment, exchange-rate volatility, GDP growth), and financial stability (NPL).

The data were collected from open official sources, including the World Bank, IMF, ENISA Threat Landscape Reports, Numbeo Crime Database, UN datasets, and National Cybersecurity Index (NCSI database). 

This dataset supports research on cyber-financial risks, digital resilience, and macro-financial stability, and may be used for replication, robustness testing, system resilience assessment, and cross-country comparative analysis.
DOI: 10.15468/ubdwdc
title: KUBI Herpetology Collection

description: KU herpetology houses one of the largest herpetology collections in the world (340,000 specimens representing more than 5000 species from 156 countries). The KU collections include the world’s largest collection of neotropical amphibian and reptile specimens (200,000+) as well as substantial numbers of Nearctic (80,000+) and Asian (20,000+) specimens. KU holdings are particularly strong for the U.S., Ecuador, Mexico, the Dominican Republic, Costa, Rica, Haiti, the Philippines, Peru and Panama. The collection from Kansas is the state’s largest (20,000+). The type collection includes nearly 400 primary types, mostly amphibians. KU Herpetology also maintains 5000 cleared-and-stained osteological preparations, nearly 5000 dried skeletons, and one of the world’s largest collections of amphibian larvae (6000+ lots). The KU digital archive includes more than 12,000 digital images and more than 1500 acoustic recordings.
DOI: 10.17026/ar/0mz7ej
title: PAN-00173255 - devotional pendant Modern period

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00173255&lt;/p&gt;
description: Modified: 2025-04-26T11:30:19+02:00
DOI: 10.57969/s9g015
title: Lagrangian Drifter Laboratory at Scripps Institution of Oceanography Pacific Directional Wave Spectra Drifter (DWSD) First-Five Data

description: The Lagrangian Drifter Laboratory’s Pacific Directional Wave Spectra Drifter (DWSD) dataset was funded by the National Oceanographic and the Atmospheric Administration (NOAA) Global Drifter Program and the NOAA Weather Program Office (WPO). Most of the drifters were equipped with Barometers (DWSBDs). The DWSBDs measure the sea surface temperature, sea level pressure, and evolving wave conditions under large storms that can bring both replenishing and catastrophically damaging rain to the western United States. These observations are used to improve weather forecasting and to better understand the marine boundary layer coupling. This dataset contains the first-five wave information.
DOI: 10.15468/dl.spzgv4
title: Occurrence Download

description: A dataset containing 244 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-60.69706 -16.68736,-30.80989 -16.68736,-30.80989 -4.75426,-60.69706 -4.75426,-60.69706 -16.68736))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lithraea molleoides"
 ]
}

 The dataset includes 244 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021159-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.35sfpu
title: Occurrence Download

description: A dataset containing 29266 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is USA.44_1",
 "TaxonKey is Cyanocitta cristata",
 "Year 2013-2013"
 ]
}

 The dataset includes 29266 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021158-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yj3k5k
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "HasCoordinate is true",
 "Geometry POLYGON ((-119.4841 34.84402, -119.4836 34.84407, -119.4832 34.84415, -119.4827 34.84425, -119.4823 34.84436, -119.4818 34.8445, -119.4814 34.84465, -119.4809 34.84483, -119.4805 34.84502, -119.4801 34.84523, -119.4797 34.84545, -119.4794 34.8457, -119.479 34.84596, -119.4787 34.84623, -119.4784 34.84652, -119.4781 34.84682, -119.4778 34.84713, -119.4775 34.84746, -119.4773 34.8478, -119.4771 34.84814, -119.4769 34.8485, -119.4767 34.84886, -119.4765 34.84923, -119.4764 34.84961, -119.4763 34.84999, -119.4762 34.85038, -119.4762 34.85076, -119.4762 34.85115, -119.4762 34.85154, -119.4762 34.85193, -119.4766 34.85586, -119.4766 34.85624, -119.4767 34.85661, -119.4768 34.85699, -119.4769 34.85735, -119.4771 34.85772, -119.4772 34.85807, -119.4774 34.85842, -119.4776 34.85876, -119.4779 34.85909, -119.4781 34.85941, -119.4784 34.85972, -119.4787 34.86002, -119.479 34.8603, -119.4793 34.86057, -119.4796 34.86083, -119.48 34.86107, -119.4804 34.8613, -119.4808 34.86151, -119.4812 34.86171, -119.4816 34.86188, -119.482 34.86204, -119.4824 34.86218, -119.4829 34.86231, -119.4833 34.86241, -119.4838 34.86249, -119.4842 34.86256, -119.4847 34.8626, -119.4851 34.86263, -119.4856 34.86264, -119.4888 34.86262, -119.4892 34.8626, -119.4897 34.86257, -119.4902 34.86252, -119.4906 34.86244, -119.4911 34.86235, -119.4915 34.86224, -119.492 34.86211, -119.4924 34.86196, -119.4928 34.86179, -119.4932 34.8616, -119.4936 34.8614, -119.494 34.86118, -119.4944 34.86094, -119.4947 34.86069, -119.4951 34.86042, -119.4954 34.86014, -119.4957 34.85985, -119.496 34.85954, -119.4962 34.85922, -119.4965 34.8589, -119.4967 34.85856, -119.4969 34.85821, -119.4971 34.85785, -119.4972 34.85749, -119.4974 34.85712, -119.4975 34.85674, -119.4976 34.85637, -119.4976 34.85598, -119.4977 34.8556, -119.4977 34.85521, -119.4977 34.85483, -119.4974 34.85076, -119.4973 34.85037, -119.4973 34.84999, -119.4972 34.8496, -119.4971 34.84923, -119.4969 34.84886, -119.4968 34.84849, -119.4966 34.84813, -119.4964 34.84779, -119.4962 34.84745, -119.4959 34.84712, -119.4956 34.8468, -119.4953 34.84649, -119.495 34.8462, -119.4947 34.84592, -119.4944 34.84565, -119.494 34.8454, -119.4936 34.84517, -119.4932 34.84495, -119.4928 34.84475, -119.4924 34.84457, -119.492 34.84441, -119.4915 34.84426, -119.4911 34.84414, -119.4906 34.84403, -119.4902 34.84394, -119.4897 34.84388, -119.4892 34.84383, -119.4888 34.84381, -119.4883 34.8438, -119.4878 34.84381, -119.4846 34.84398, -119.4841 34.84402))",
 "Year is greater than or equal to 2001",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021160-251120083545085/datasets/export for details.
DOI: 10.15468/dl.arsb9b
title: Occurrence Download

description: A dataset containing 42 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 countrycode countrycode,
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, countrycode, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, countrycode, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, countrycode, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, countrycode, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, countrycode, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, countrycode, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.continent IN ('NORTH_AMERICA', 'SOUTH_AMERICA')
 AND (CAST(occurrence.taxonkey AS INTEGER) = 2418095 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 2418095 OR CAST(occurrence.kingdomkey AS INTEGER) = 2418095 OR CAST(occurrence.phylumkey AS INTEGER) = 2418095 OR CAST(occurrence.classkey AS INTEGER) = 2418095 OR CAST(occurrence.orderkey AS INTEGER) = 2418095 OR CAST(occurrence.familykey AS INTEGER) = 2418095 OR CAST(occurrence.genuskey AS INTEGER) = 2418095 OR CAST(occurrence.specieskey AS INTEGER) = 2418095)
 AND (occurrence."year" &gt;= 2009 AND occurrence."year" &lt;= 2025)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL AND occurrence.hascoordinate = TRUE)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year",
 occurrence.countrycode

 The dataset's 42 records were derived from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021133-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bxmzu6
title: Occurrence Download

description: A dataset containing 182 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Eremanthus syncephalus, Vanillosmopsis syncephala, Lychnophora penninervia, Lychnophora syncephala)"
 ]
}

 The dataset includes 182 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021161-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/8s34cr
title: PAN-00173296 - figurine of equid

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00173296&lt;/p&gt;
description: Modified: 2025-04-25T10:48:38+02:00
DOI: 10.57969/s9ks3s
title: Lagrangian Drifter Laboratory at Scripps Institution of Oceanography Pacific Directional Wave Spectra Drifter (DWSD) Sensor Data

description: The Lagrangian Drifter Laboratory’s Pacific Directional Wave Spectra Drifter (DWSD) dataset was funded by the National Oceanographic and the Atmospheric Administration (NOAA) Global Drifter Program and the NOAA Weather Program Office (WPO). Most of the drifters were equipped with Barometers (DWSBDs). The DWSBDs measure the sea surface temperature, sea level pressure, and evolving wave conditions under large storms that can bring both replenishing and catastrophically damaging rain to the western United States. These observations are used to improve weather forecasting and to better understand the marine boundary layer coupling.
DOI: 10.15468/hlh5ud
title: KUBI Ornithology Collection

description: The Ornithology group in the Biodiversity Institute at the University of Kansas conducts research and provides undergraduate and graduate education on the birds of the world. Research topics include the species limits and species diversity, evolution, geography, genetics and genomics, morphology, conservation, ecology, and behavior. This work is greatly enhanced by extensive research collections of world birds, numbering more than 107,000 specimens, many of which are recently collected as part of the group's global bird sampling program. Ornithology's study skin collections total about 60,000 specimens. The historical collections are strongest for the Great Plains of the United States and for Mexico, with additional holdings from Central and South America, Borneo, and Kenya. Recent large-scale collections have built significant recent holdings from Mexico, Dominican Republic, El Salvador, Panama, Guyana, Peru, Paraguay, Argentina, Sierra Leone, Ghana, Botswana, Democratic Republic of the Congo, Mongolia, China, Vietnam, Philippines, Malaysia, Papua New Guinea, Solomon Islands, Fiji, Palau, and others. Collections of special importance include series of more than 14,000 House Sparrow (Passer domesticus), which formed the basis for landmark scientific research by 
Richard Johnston and his students; extensive series of several North American species (Red-winged Blackbird Agelaius phoeniceus, meadowlarks Sturnella spp., Horned Lark Eremophila alpestris); series documenting many of the Great Plains hybrid zones; and the feathers of an extinct moa (Dinornithidae). Recent additions include extensive series from Guyana, Mexico, Panama, Peru, and 
Paraguay, including many species otherwise poorly represented in scientific collections. The avian osteological collections are extensive, totaling over 32,500 specimens, and ranked third largest in the world (Wood and Schnell 1986). This component of the collection has important strengths from the Great Plains of the United States, Mexico, and northern South America. Important holdings include critical and unique Ecuadorian series, extensive recent Australian material, and a large series of steamer-ducks (Tachyeres sp.). Recent collecting activities have built South American skeletal holdings into an important collection, with material from poorly represented sectors such as the Atlantic Forest, the Yucatan Peninsula, Guyana, and montane Central America. Although fluid-preserved specimens were not an early focus of Ornithology activities, the collections at KU were ranked seventh in North America at the time of the last summary of anatomical holdings (Wood et al. 1982). More recently, as part of Prum's research program, these collections have grown significantly, with important holdings of suboscine passeriform birds, among other groups. Now housed with ample space and ideal storage conditions in an NSF- and State of Kansas-funded addition, this collection is seeing increased research applications.