cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.qss8km
title: Occurrence Download

description: A dataset containing 93211 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phytolacca americana L."
 ]
}

 The dataset includes 93211 records from 508 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048956-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9g5xvv
title: Occurrence Download

description: A dataset containing 1488 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Zealand",
 "TaxonKey is Araujia sericifera Brot."
 ]
}

 The dataset includes 1488 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057860-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c6hjrt
title: Occurrence Download

description: A dataset containing 2614 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Depth 0.0-50.0m",
 "Geometry POLYGON((-114.66431 31.05176,-130.5986 58.61119,-148.98422 62.24938,-161.94397 61.02903,-156.1734 70.25528,-136.44333 68.18228,-135.3598 71.17757,-164.60815 71.50793,-175.92545 54.78247,-114.66431 31.05176))",
 "HasGeospatialIssue is false",
 "TaxonKey is Ascidiacea"
 ]
}

 The dataset includes 2614 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037035-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fpvava
title: Occurrence Download

description: A dataset containing 39216 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-96.55219 35.30028,-68.41483 35.30028,-68.41483 46.55028,-96.55219 46.55028,-96.55219 35.30028))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Alliaria petiolata (M.Bieb.) Cavara & Grande"
 ]
}

 The dataset includes 39216 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0339686-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.he2jw9
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Titanopsis hugo-schlechteri (Tischer) Dinter & Schwantes"
 ]
}

 The dataset includes 22 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048955-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p2s9tb
title: Occurrence Download

description: A dataset containing 537208 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Spatula cyanoptera (Vieillot, 1816)"
 ]
}

 The dataset includes 537208 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044505-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h555ee
title: Occurrence Download

description: A dataset containing 89 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is New records and geographic distribution of the sympatric zones of unisexual and bisexual rock lizards of the genus Darevskia in Armenia and adjacent territories"
 ]
}

 The dataset includes 89 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052895-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x2oqee
title: Occurrence Download

description: A dataset containing 83 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Algansea lacustris Steindachner, 1895"
 ]
}

 The dataset includes 83 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006752-180730143533302/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wjzwmm
title: Occurrence Download

description: A dataset containing 15406 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Didelphis virginiana Kerr, 1792"
 ]
}

 The dataset includes 15406 records from 155 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032984-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v2tmhw
title: Occurrence Download

description: A dataset containing 571 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "DecimalLatitude is greater than 34.8469085554877",
 "DecimalLatitude is less than 35.4292220214183",
 "DecimalLongitude is greater than -81.7502794364289",
 "DecimalLongitude is less than -81.032286215274"
 ]
}

 The dataset includes 571 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006752-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zio1jt
title: Occurrence Download

description: A dataset containing 767 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Myrcia deflexa (Poir.) DC."
 ]
}

 The dataset includes 767 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014399-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8unj5w
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lama guanicoe (Müller, 1776)"
 ]
}

 The dataset includes 15 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057861-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.46b27m
title: Occurrence Download

description: A dataset containing 58338 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Naturalis Biodiversity Center (NL) - Cnidaria"
 ]
}

 The dataset includes 58338 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019325-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hfvhgt
title: Occurrence Download

description: A dataset containing 178380 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Netta rufina (Pallas, 1773)"
 ]
}

 The dataset includes 178380 records from 426 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052887-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.95hk79
title: Occurrence Download

description: A dataset containing 2734 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Panthera onca (Linnaeus, 1758)"
 ]
}

 The dataset includes 2734 records from 106 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058866-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5qt84y
title: Occurrence Download

description: A dataset containing 122 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Specimen"
 ]
 },
 "Country is Mexico",
 "HasCoordinate is true",
 "TaxonKey is Setaria palmifolia (J.Koenig) Stapf",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 122 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024820-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ctwdmq
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nettion greeni Brodkorb, 1964"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052902-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nm8u2e
title: Occurrence Download

description: A dataset listing the 7 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Italy",
 {
 "or" : [
 "PublishingOrg is 4c415e40-1e21-11de-9e40-a0d6ecebb8bf",
 "PublishingOrg is 57254bd0-8256-11d8-b7ed-b8a03c50a862",
 "PublishingOrg is 883ee5d0-9177-423d-a636-0284e8a4de46",
 "PublishingOrg is c76cf030-2a95-11da-9cc1-b8a03c50a862",
 "PublishingOrg is ead371f0-f93d-11dd-af50-b8a03c50a862",
 "PublishingOrg is 0674aea0-a7e1-11d8-9534-b8a03c50a862",
 "PublishingOrg is 19456090-b49a-11d8-abeb-b8a03c50a862",
 "PublishingOrg is 10980920-6dad-11da-ad13-b8a03c50a862",
 "PublishingOrg is 2cd829bb-b713-433d-99cf-64bef11e5b3e",
 "PublishingOrg is 814cdfb5-d4f8-4453-815f-ea5df98e76bf"
 ]
 },
 "TaxonKey is Melanelixia fuliginosa (Fr. ex Duby) O.Blanco, A.Crespo, Divakar, Essl., D.Hawksw. & Lumbsch"
 ]
}

 The dataset's 7 records were derived from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083618-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b5c7hw
title: Occurrence Download

description: A dataset containing 118006 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Pyrocephalus rubinus (Boddaert, 1783)"
 ]
}

 The dataset includes 118006 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025673-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gv2884
title: Occurrence Download

description: A dataset containing 239829 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Insecta)",
 "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((30 30,37.5 30,37.5 37.5,30 37.5,30 30))"
 ]
}

 The dataset includes 239829 records from 199 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041522-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.32430.64329
title: Das Kerygma der Apostel
DOI: 10.13140/rg.2.2.30982.29760
title: Calcium levels and hypertension Professor Tareq alasadi و‬
DOI: 10.13140/rg.2.2.23642.26560
title: Supplementary Dendrogram
DOI: 10.13140/rg.2.2.32607.59040
title: CONVERSIONS in Bosnia during the 19th century.ppt
DOI: 10.13140/rg.2.2.32686.23367
title: "Lumtek" bioluminescent test-systems. The presentation made on the ISBC-2012 conference.
DOI: 10.6084/m9.figshare.24516865.v2
title: Deep learning, 3D ultrastructural analysis reveals quantitative differences in platelet and organelle packing in COVID-19/SARSCoV2 patient-derived platelets

description: Platelets contribute to COVID-19 clinical manifestations, of which microclotting in the pulmonary vasculature has been a prominent symptom. To investigate the potential diagnostic contributions of overall platelet morphology and their α-granules and mitochondria to the understanding of platelet hyperactivation and micro-clotting, we undertook a 3D ultrastructural approach. Because differences might be small, we used the high-contrast, high-resolution technique of focused ion beam scanning EM (FIB-SEM) and employed deep learning computational methods to evaluate nearly 600 individual platelets and 30 000 included organelles within three healthy controls and three severely ill COVID-19 patients. Statistical analysis reveals that the α-granule/mitochondrion-to-plateletvolume ratio is significantly greater in COVID-19 patient platelets indicating a denser packing of organelles, and a more compact platelet. The COVID-19 patient platelets were significantly smaller –by 35% in volume – with most of the difference in organelle packing density being due to decreased platelet size. There was little to no 3D ultrastructural evidence for differential activation of the platelets from COVID-19 patients. Though limited by sample size, our studies suggest that factors outside of the platelets themselves are likely responsible for COVID-19 complications. Our studies show how deep learning 3D methodology can become the gold standard for 3D ultrastructural studies of platelets. COVID-19 patients exhibit a range of symptoms including microclotting. Clotting is a complex process involving both circulating proteins and platelets, a cell within the blood. Increased clotting is suggestive of an increased level of platelet activation. If this were true, we reasoned that parts of the platelet involved in the release of platelet contents during clotting would have lost their content and appear as expanded, empty “ghosts.” To test this, we drew blood from severely ill COVID-19 patients and compared the platelets within the blood draws to those from healthy volunteers. All procedures were done under careful attention to biosafety and approved by health authorities. We looked within the platelets for empty ghosts by the high magnification technique of electron microscopy. To count the ghosts, we developed new computer software. In the end, we found little difference between the COVID patient platelets and the healthy donor platelets. The results suggest that circulating proteins outside of the platelet are more important to the strong clotting response. The software developed will be used to analyze other disease states.
DOI: 10.13140/rg.2.2.24428.69768
title: LOW CALIBRE OF AMAZON BOOKS STAFF
DOI: 10.15468/dl.8uqmrs
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Amphibia)",
 "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((-135 -7.5,-127.5 -7.5,-127.5 0,-135 0,-135 -7.5))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041558-251009101135966/datasets/export for details.
DOI: 10.5281/zenodo.17388801
title: Citation Ranking of Research Universities in Eastern Europe
title: Based on Google Scholar citation data (Jan. 2025)

description: This dataset presents the Citation Ranking of Research Universities in Eastern Europe (EE), based on Google Scholar citation data collected in January 2025. It is an EE-specific list comprising 796 Higher Education Institutions (HEIs), ranked by the total number of citations received by their top academic researchers. The data originate from the global dataset “Transparent Ranking of Universities by the Number of Citations Received by the Google Scholar Profiles of Their Top Researchers,” which includes 6,191 HEIs worldwide and is published semiannually by the Cybermetrics Lab (IPP-CSIC, Spain).
description: Citation Ranking of Higher Education Institutions in the EU: https://doi.org/10.5281/zenodo.17350508
DOI: 10.5281/zenodo.17390291
title: Citation Ranking of Research Universities in Eastern Europe
title: Based on Google Scholar citation data (Jan. 2025)

description: This dataset presents the Citation Ranking of Research Universities in Eastern Europe (EE), based on Google Scholar citation data collected in January 2025. It is an EE-specific list comprising 796 Higher Education Institutions (HEIs), ranked by the total number of citations received by their top academic researchers. The data originate from the global dataset “Transparent Ranking of Universities by the Number of Citations Received by the Google Scholar Profiles of Their Top Researchers,” which includes 6,191 HEIs worldwide and is published semiannually by the Cybermetrics Lab (IPP-CSIC, Spain).
description: Citation Ranking of Higher Education Institutions in the EU: https://doi.org/10.5281/zenodo.17350508
DOI: 10.6084/m9.figshare.24516865
title: Deep learning, 3D ultrastructural analysis reveals quantitative differences in platelet and organelle packing in COVID-19/SARSCoV2 patient-derived platelets

description: Platelets contribute to COVID-19 clinical manifestations, of which microclotting in the pulmonary vasculature has been a prominent symptom. To investigate the potential diagnostic contributions of overall platelet morphology and their α-granules and mitochondria to the understanding of platelet hyperactivation and micro-clotting, we undertook a 3D ultrastructural approach. Because differences might be small, we used the high-contrast, high-resolution technique of focused ion beam scanning EM (FIB-SEM) and employed deep learning computational methods to evaluate nearly 600 individual platelets and 30 000 included organelles within three healthy controls and three severely ill COVID-19 patients. Statistical analysis reveals that the α-granule/mitochondrion-to-plateletvolume ratio is significantly greater in COVID-19 patient platelets indicating a denser packing of organelles, and a more compact platelet. The COVID-19 patient platelets were significantly smaller –by 35% in volume – with most of the difference in organelle packing density being due to decreased platelet size. There was little to no 3D ultrastructural evidence for differential activation of the platelets from COVID-19 patients. Though limited by sample size, our studies suggest that factors outside of the platelets themselves are likely responsible for COVID-19 complications. Our studies show how deep learning 3D methodology can become the gold standard for 3D ultrastructural studies of platelets. COVID-19 patients exhibit a range of symptoms including microclotting. Clotting is a complex process involving both circulating proteins and platelets, a cell within the blood. Increased clotting is suggestive of an increased level of platelet activation. If this were true, we reasoned that parts of the platelet involved in the release of platelet contents during clotting would have lost their content and appear as expanded, empty “ghosts.” To test this, we drew blood from severely ill COVID-19 patients and compared the platelets within the blood draws to those from healthy volunteers. All procedures were done under careful attention to biosafety and approved by health authorities. We looked within the platelets for empty ghosts by the high magnification technique of electron microscopy. To count the ghosts, we developed new computer software. In the end, we found little difference between the COVID patient platelets and the healthy donor platelets. The results suggest that circulating proteins outside of the platelet are more important to the strong clotting response. The software developed will be used to analyze other disease states.
DOI: 10.13140/rg.2.2.28072.49923
title: DSCF1099
DOI: 10.6084/m9.figshare.27647529
title: Linguistic and Cognitive abilities in Children with Dyslexia: A Comparative Analysis

description: <b>Introduction:</b> Dyslexia is a prevalent learning disorder that significantly affects the child population. It is often accompanied by deficits in language processes, cognition, and executive functioning, all of which are crucial for reading development. Children with dyslexia frequently exhibit difficulties in phonological processing, semantics, morphosyntax, and also in cognitive areas such as working memory, inhibition, planning, and attention. <b>Objective:</b> The primary objective of this study was to compare the linguistic, cognitive, and executive functioning abilities between children diagnosed with dyslexia and those with typical reading development. <b>Methodology:</b> A total of 120 children were selected and divided into two groups: the G-DYSLEXIA group (N=60), consisting of children diagnosed with dyslexia, and the G-CONTROL group (N=60), with typical reading development. Language, cognition, and executive functions were assessed using standardized tests: CELF-5, WISC-V, and ENFEN. Statistical analyses included descriptive statistics, independent samples T-tests, and Chi-square tests to compare the performance between these two groups. <b>Results:</b> The study revealed significant differences between the two groups in all dimensions assessed. Specifically, children with dyslexia showed markedly lower performance in linguistic, cognitive, and executive functioning measures compared to their peers with typical development. <b>Conclusion:</b> Children with dyslexia present a distinct clinical profile characterized by significant difficulties in language processing, cognition, and executive functions. These challenges interfere with their reading acquisition and academic performance, limiting their integration into educational environments and impacting their overall quality of life.