cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25574/csc2.obs.06179
title: Chandra X-ray Observatory ObsId 06179

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.10096
title: Chandra X-ray Observatory ObsId 10096

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.21423
title: Chandra X-ray Observatory ObsId 21423

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.03249
title: Chandra X-ray Observatory ObsId 03249

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.10413
title: Chandra X-ray Observatory ObsId 10413

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.04080
title: Chandra X-ray Observatory ObsId 04080

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.15468/dl.y5p4xm
title: Occurrence Download

description: A dataset containing 242 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Plinia edulis (Vell.) Sobral"
 ]
}

 The dataset includes 242 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010410-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/csc2.obs.02101
title: Chandra X-ray Observatory ObsId 02101

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.03251
title: Chandra X-ray Observatory ObsId 03251

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.18458
title: Chandra X-ray Observatory ObsId 18458

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.00929
title: Chandra X-ray Observatory ObsId 00929

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.14012
title: Chandra X-ray Observatory ObsId 14012

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.10904
title: Chandra X-ray Observatory ObsId 10904

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.15808
title: Chandra X-ray Observatory ObsId 15808

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.06180
title: Chandra X-ray Observatory ObsId 06180

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.12991
title: Chandra X-ray Observatory ObsId 12991

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.02579
title: Chandra X-ray Observatory ObsId 02579

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.18442
title: Chandra X-ray Observatory ObsId 18442

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.21435
title: Chandra X-ray Observatory ObsId 21435

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.10797
title: Chandra X-ray Observatory ObsId 10797

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.06181
title: Chandra X-ray Observatory ObsId 06181

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.26135
title: Chandra X-ray Observatory ObsId 26135

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.06570
title: Chandra X-ray Observatory ObsId 06570

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.13483
title: Chandra X-ray Observatory ObsId 13483

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.07394
title: Chandra X-ray Observatory ObsId 07394

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.02192
title: Chandra X-ray Observatory ObsId 02192

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.20504
title: Chandra X-ray Observatory ObsId 20504

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.19587
title: Chandra X-ray Observatory ObsId 19587

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.07016
title: Chandra X-ray Observatory ObsId 07016

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.22013
title: Chandra X-ray Observatory ObsId 22013

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.09241
title: Chandra X-ray Observatory ObsId 09241

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.19308
title: Chandra X-ray Observatory ObsId 19308

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.07019
title: Chandra X-ray Observatory ObsId 07019

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.16697
title: Chandra X-ray Observatory ObsId 16697

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.15468/dl.sb7yvd
title: Occurrence Download

description: A dataset containing 1861 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Plumeria obtusa L."
 ]
}

 The dataset includes 1861 records from 113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010412-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/erf7ff
title: Amomum meghalayense (Zingiberaceae): a new species from northeast India

description: This dataset contains the digitized treatments in Plazi based on the original journal article Thomas, V. P., Sabu, M., Sanoj, E. (2016): Amomum meghalayense (Zingiberaceae): a new species from northeast India. Phytotaxa 245 (2): 178-182, DOI: 10.11646/phytotaxa.245.2.9, URL: http://dx.doi.org/10.11646/phytotaxa.245.2.9
DOI: 10.15468/pu5cmj
title: Noeeta hemiradiata (Dirlbek & Dirlbek, 1991) (Diptera ¦ Tephritidae), new species for Portugal

description: This dataset contains the digitized treatments in Plazi based on the original journal article Pires, Fernando (2023): Noeeta hemiradiata (Dirlbek & Dirlbek, 1991) (Diptera ¦ Tephritidae), new species for Portugal. Arquivos Entomolóxicos 27: 13-14, DOI: 10.5281/zenodo.11511636Abstract: The fruit fly Noeeta hemiradiata (Dirlbek & Dirlbek, 1991) (Diptera ¦ Tephritidae) is reported from Portugal for the first time, with a record from a dry Mediterranean scrubland area in the district of Faro. The genus Noeeta Robineau-Desvoidy, 1830 is also reported from Portugal for the first time.
DOI: 10.15468/ggfhcc
title: A New Species of the Genus Crassolabium Yeates, 1967 (Nematoda: Dorylaimidae: Labronematinae) from India

description: This dataset contains the digitized treatments in Plazi based on the original journal article Sen, Debabrata, Roy, Samprit Deb, Mandal, Gurupada (2025): A New Species of the Genus Crassolabium Yeates, 1967 (Nematoda: Dorylaimidae: Labronematinae) from India. Acta Zoologica Bulgarica 77 (1): 13-22, DOI: 10.71424/azb77.1.002828, URL: https://doi.org/10.71424/azb77.1.002828Abstract: Crassolabium dhritiae sp. n. has been described from Deccan Peninsular Biogeographic Zone, Keonjhar District, Odisha State, India (21017 / 53 // N, 85050 / 46 // E). The new species is characterised by its medium size and moderately slender body, rounded amalgamated lip region, wide and moderately longer odontostyle (about six times of odontostyle width or 1.2–1.4 times of lip-region width) with aperture occupying slightly less than the half to about one-third of the odontostyle, long pharynx (1/3.5 to 1/3.8 of body length), presence of pars refringens vaginae, presence of two round gland cells near vulva on both sides of vagina, short convex-conoid and ventrally straight tail with round terminus. Crassolabium dhritiae sp. n. can be differentiated from all other species of the genus except C. brachycephalum, C. circuliferum, C. diversum, C. montanum, C. rhopalocercum and two Indomalayan species C. aenigmaticum and C. vietnamense in having a well-marked longer pharynx in female.
DOI: 10.15468/e3bn7s
title: A new species of frog from the Caribbean island of Montserrat (Eleutherodactylidae, Eleutherodactylus)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Hedges, S. Blair (2022): A new species of frog from the Caribbean island of Montserrat (Eleutherodactylidae, Eleutherodactylus). Zootaxa 5219 (4): 375-387, DOI: 10.11646/zootaxa.5219.4.5AbstractI describe a new species of frog, Eleutherodactylus montserratae sp. nov., from Montserrat, previously confused with E. johnstonei Barbour. It is native to that island and has been introduced, and established, on other Lesser Antillean islands west of 62 degrees west longitude including Anguilla, St. Martin / St. Maarten, St. Barthélemy, Saba, St. Eustatius, St. Christopher, and Nevis, as well as Bermuda. Previous chromosome and molecular studies have shown that populations from these islands are distinct from E. johnstonei, a species occurring east of 62 degrees west longitude in the Lesser Antilles, and elsewhere, but could not identify diagnostic morphological differences. Here, I show that the new species differs morphologically in being smaller (males and females) and having a proportionately larger tympanum, a wider head, and greater separation between the nostrils. Both species have been introduced within and outside of the Caribbean region and will likely expand their ranges in the future.
DOI: 10.15468/x77ham
title: A new hybrid from Taiwan, Elatostema × hybrida (Urticaceae), is the first confirmed natural hybrid for Urticaceae

description: This dataset contains the digitized treatments in Plazi based on the original journal article Tseng, Yu-Hsin, Hu, Jer-Ming (2014): A new hybrid from Taiwan, Elatostema × hybrida (Urticaceae), is the first confirmed natural hybrid for Urticaceae. Phytotaxa 161 (1): 43-60, DOI: 10.11646/phytotaxa.161.1.2, URL: http://dx.doi.org/10.11646/phytotaxa.161.1.2AbstractExplosive pollen dispersal is common in Urticaceae and they are thought to be wind-pollinated. Despite a lack of obvious mechanism for preventing cross-species pollination, putative hybrid species in Urticaceae are rarely documented. Here we described the first natural hybrid in Urticaceae Elatostema × hybrida from Taiwan. Morphological characters in E. × hybrida are intermediate between putative parental species: E. lineolatum var. majus and E. platyphylloides. Six hybrid populations of E. × hybrida were found in Taiwan that exhibited largely overlapping distribution patterns with its putative parents. Phylogenetic analysis of chloroplast DNA showed that the hybrid species is more closely related to E. lineolatum var. majus suggesting that the latter is the maternal parent and that hybridization is unidirectional. The chromosome number of E. × hybrida remains the same as its putative parents (2 n = 26). We speculate that the examined hybrids are natural first-generation results of independent hybridization events. Based on the morphology, spatial distribution, DNA sequence data, pollen viability and cytological observations, we hypothesize that E. × hybrida is derived from natural hybridization events between E. lineolatum var. majus (♀) and E. platyphylloides (♂).
DOI: 10.15468/4kcgn3
title: A new species of Sinonichnus Jałoszyński in China (Coleoptera, Staphylinidae, Scydmaeninae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Jałoszyński, Paweł (2025): A new species of Sinonichnus Jałoszyński in China (Coleoptera, Staphylinidae, Scydmaeninae). Zootaxa 5575 (3): 497-500, DOI: 10.11646/zootaxa.5575.3.10, URL: https://doi.org/10.11646/zootaxa.5575.3.10AbstractSinonichnus Jałoszyński is an endemic Chinese genus currently including only two species: S. yunnanensis (Jałoszyński, 2019) and S. leiodicornutus Jałoszyński, 2021. Both species occur in Yunnan. Sinonichnus montanus sp. nov. is described, based on a male specimen collected close to the type localities of the previously known species.
DOI: 10.15468/dl.s8yyae
title: Occurrence Download

description: A dataset containing 15706307 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "Geometry POLYGON((-77.4343 1.3442,-76.66353 0.96279,-76.60791 1.64615,-75.67822 2.03551,-74.52383 4.32413,-74.58785 5.22042,-73.62784 8.97018,-74.41799 8.99342,-75.16167 7.936,-75.41731 7.4131,-75.56837 7.77332,-75.97507 7.2388,-75.92068 5.86087,-77.4343 1.3442))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 15706307 records from 1532 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013282-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eempxm
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aptenodytes forsteri"
 ]
}

 The dataset's 2 records were derived from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013361-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17195995
title: Human smuggling judicial practice Hungary (Szeged) 2021-2023

description: In our empirical analysis, 545 case files were examined with regard to the classification of the offense under the Criminal Code, the identified mitigating and aggravating circumstances, the type and length of the sentence, as well as procedural aspects. Overall, the statistical analysis suggests that judicial practice is not necessarily consistent. Of the nine aggravating circumstances examined, only three were associated with significantly longer sentences, while among the seven mitigating factors analyzed, only three were linked to statistically significant sentence reductions. While the number of mitigating circumstances shows a significant but weak correlation with the length of imprisonment, no such significant relationship was found for the number of aggravating circumstances. We attempted to predict sentencing outcomes using regression models and neural networks. We found that incorporating the mid-range penalty into the models not only improved predictive performance, but also reduced the relative importance of the mitigating and aggravating factors—and their number—in determining sentence length.
DOI: 10.5281/zenodo.17195996
title: Human smuggling judicial practice Hungary (Szeged) 2021-2023

description: In our empirical analysis, 545 case files were examined with regard to the classification of the offense under the Criminal Code, the identified mitigating and aggravating circumstances, the type and length of the sentence, as well as procedural aspects. Overall, the statistical analysis suggests that judicial practice is not necessarily consistent. Of the nine aggravating circumstances examined, only three were associated with significantly longer sentences, while among the seven mitigating factors analyzed, only three were linked to statistically significant sentence reductions. While the number of mitigating circumstances shows a significant but weak correlation with the length of imprisonment, no such significant relationship was found for the number of aggravating circumstances. We attempted to predict sentencing outcomes using regression models and neural networks. We found that incorporating the mid-range penalty into the models not only improved predictive performance, but also reduced the relative importance of the mitigating and aggravating factors—and their number—in determining sentence length.
DOI: 10.15468/dl.9judzs
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Veronica cymbalaria",
 "Country is Bulgaria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013383-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9bjqvy
title: Occurrence Download

description: A dataset containing 177 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Veronica cymbalaria",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 177 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013381-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.