cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48511/dpxbqzw5
title: Adams Lake at the Point

description: The Columbia Shuswap Invasive Species Society (CSISS) collects plankton samples for several waterbodies in the Northern Columbia Basin which are tested for the presence of larval stages of invasive mussels and clams. Along with the plankton samples, ancillary data including surface pH, surface temperature and Secchi depth are measured. Data is collected from July to October either every 2 weeks or every month (depending on the waterbody’s risk of infestation).
DOI: 10.15468/dl.96s7mw
title: Occurrence Download

description: A dataset containing 164 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is An annotated checklist of Dolichopodidae (Diptera) species from Sakhalin, Russia, with new records"
 ]
}

 The dataset includes 164 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020586-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6mxjw9
title: Occurrence Download

description: A dataset containing 61385 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Auckland Museum NZ Marine Collection"
 ]
}

 The dataset includes 61385 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020584-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17547134
title: Análisis de varianza (ANOVA) en experimentos de un solo factor con diseño completamente al azar
DOI: 10.5281/zenodo.17547135
title: Análisis de varianza (ANOVA) en experimentos de un solo factor con diseño completamente al azar
DOI: 10.15468/dl.f935su
title: Occurrence Download

description: A dataset listing the 10638 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 10638 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020582-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dumqet
title: Occurrence Download

description: A dataset containing 14460 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is fe9d56b7-39b1-4772-991f-e427e44b889f",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 14460 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020590-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dpb9xj
title: Occurrence Download

description: A dataset containing 853 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hericium novae-zealandiae"
 ]
}

 The dataset includes 853 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020591-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s6eg35
title: Occurrence Download

description: A dataset containing 716089 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is United States of America",
 "OccurrenceStatus is Present",
 "StateProvince is one of (PENNSYLVANIA： Ca.6.0, PENNSYLVANIA:Ca 1.5k, PENNSYLVANIA：WASHING, Pennsyvania, Pennsilvania, Pennslyvania, Pennsylvania (State), Pennsylvania, USA, Pennsylania, Pennsylnavia, Pennsylvania cf, Pennsylvaania, Pennsylvania, Pennsylvania (?), Pennsylvania (PA), Pennsylvania (賓夕法尼亞州), Pennsylvania (賓州), Pennsylvania / Pennsylvanie, Pennsylvania :, Pennsylvania : Powdermill Nature Reserve, Pennsylvania ?, Pennsylvania Turnpike at Somerset, Pennsylvania [?], Pennsylvania [assumed], Pennsylvania**, Pennsylvania,, Pennsylvania, Huntingdon Co., pennsylvania?, pennsylvania, Pennsylvania[?], Pennsylv., Pennsylvani, Pennsylvana, Pennsyluania, Penns., Pensilvania, Pensylvania, Pensylvanien, PensilvÃ¢nia, Penssylvania, Pensylvannia, Pensylvanië, Pensylbania, Penskaya, Pennsylvania - West Virginia, Pennsylvania / New York, Pennsylvania-New York)",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 716089 records from 286 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020585-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13641194
title: Berita UNDIP
DOI: 10.48511/3xctn4t6
title: Little Shuswap Lake at Chase Memorial Park

description: The Columbia Shuswap Invasive Species Society (CSISS) collects plankton samples for several waterbodies in the Northern Columbia Basin which are tested for the presence of larval stages of invasive mussels and clams. Along with the plankton samples, ancillary data including surface pH, surface temperature and Secchi depth are measured. Data is collected from July to October either every 2 weeks or every month (depending on the waterbody’s risk of infestation).
DOI: 10.15468/dl.3b4hat
title: Occurrence Download

description: A dataset containing 139538 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation)",
 "Geometry POLYGON((-100.07892 18.2153,-97.81736 18.2153,-97.81736 20.27292,-100.07892 20.27292,-100.07892 18.2153))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Amazilia rutila, Saucerottia beryllina, Ramosomyia violiceps, Basilinna leucotis, Cynanthus auriceps, Cynanthus latirostris, Phaeoptila sordida, Selasphorus heloisa, Selasphorus platycercus, Selasphorus sasin, Selasphorus rufus, Selasphorus calliope, Archilochus alexandri, Archilochus colubris, Calothorax pulcher, Calothorax lucifer, Tilmatura dupontii, Lampornis clemenciae, Lampornis amethystinus, Heliomaster constantii, Eugenes fulgens, Colibri thalassinus)",
 "Year 1960-2025"
 ]
}

 The dataset includes 139538 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020583-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.385csa
title: Occurrence Download

description: A dataset containing 2870 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Araucaria angustifolia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2870 records from 131 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020592-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z79wkv
title: Occurrence Download

description: A dataset containing 309353 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Thereianthus ixioides, Agathosma dregeana, Agathosma florulenta, Agathosma gnidiflora, Agathosma hirsuta, Aquilegia aurea, Aquilegia montsicciana, Epilobium pallidiflorum, Genista clavata, Gynatrix macrophylla, Dryopteris complanata, Aneilema acuminatum, Dierama robustum, Brodiaea sierrae, Xysmalobium winterbergense, Sarcocaulon flavescens, Sarcocaulon herrei, Lebeckia brevicarpa, Elaeagnus commutata, Epilobium anagallidifolium, Echium handiense, Massonia dregei, Sesleria skipetarum, Ruschia karrachabensis, Ruschia subpaniculata, Tulbaghia leucantha, Conophytum bicarinatum, Conophytum hanae, Aegilops insulae-cypri, Echium velutinum, Saussurea americana, Genista longipes, Genista osmarensis, Genista quadriflora, Gavilea odoratissima, Ricinocarpos pinifolius, Bulbinella divaginata, Aegilops crassa, Aquilegia ophiolithica, Agathosma cordifolia, Agathosma elata, Agathosma minuta, Agathosma sladeniana, Agathosma stilbeoides, Aquilegia amaliae, Aquilegia barbaricina, Aquilegia bernardii, Castela polyandra, Sesleria achtarovii, Epilobium brachycarpum, Epilobium nivale, Ruschia incurvata, Genista ephedroides, Genista amana, Genista florida, Rhynchospora affinis, Sesleria pichiana, Polycarpon succulentum, Rochelia cardiosepala, Epilobium collinum, Epilobium dacicum, Epilobium denticulatum, Echium modestum, Anacyclus linearilobus, Ricinocarpos brevis, Anthoxanthum gracile, Raphionacme palustris, Ruschia exigua, Ruschia montaguensis, Conophytum cupreiflorum, Conophytum tantillum, Echium auberianum, Echium spurium, Gamochaeta serpyllifolia, Eremogone minuartioides, Genista numidica, Genista sakellariadis, Genista valsecchiae, Ricinocarpos marginatus, Paris quadrifolia, Klattia stokoei, Aegilops columnaris, Agathosma acocksii, Agathosma affinis, Agathosma hookeri, Agathosma martiana, Agathosma ovalifolia, Agathosma peglerae, Agathosma robusta, Bonellia nervosa, Epilobium pallidum, Echium sabulicola, Epilobium winkleri, Glossochilus burchellii, Genista sericea, Echium montenielluense, Hydropectis aquatica, Thereianthus elandsmontanus)",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 309353 records from 1310 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020587-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1390490.10fu
title: SH1390490.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1390491.10fu
title: SH1390491.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1390492.10fu
title: SH1390492.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1390493.10fu
title: SH1390493.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1390494.10fu
title: SH1390494.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1390495.10fu
title: SH1390495.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.25850/nioz/7b.b.kj
title: High nanoplastic concentrations across the North Atlantic - data code

description: Plastic pollution of the marine realm is widespread, with most scientific attention given to macro and microplastics. Ocean nanoplastics (1 μm), in contrast, remain largely unquantified, leaving gaps in our understanding of the mass budget of this plastic size class. Here we measure nanoplastic concentrations on an ocean basin scale along a transect crossing the North Atlantic from the subtropical gyre to the northern European shelf. Our findings reveal substantial amounts of polyethylene terephthalate (PET), polystyrene (PS) and polyvinyl chloride (PVC) nanoplastics (~ 1.5 - 32 mg m-3) throughout the entire water column. On average, we observed 1.4-fold higher concentrations of nanoplastics in the mixed layer when compared to intermediate water depth, with highest mixed layer nanoplastic concentrations near the European continent. Nanoplastic concentrations at intermediate water depth were 1.8-fold higher in the subtropical gyre compared to the open North Atlantic outside the gyre. The lowest nanoplastic concentrations (~5.5 mg m-3 on average), predominantly composed of PET, were found in bottom waters. For the mixed layer of the temperate to subtropical North Atlantic, we estimate that the mass of nanoplastic amounts to 27 million tonnes (Mt); This is in the same range or exceeds previous budget estimates of macro/microplastic for the entire Atlantic or the global ocean. Our findings suggest that nanoplastics comprise the dominant fraction of marine plastic pollution.
DOI: 10.3535/xj9-g2t-vzf
title: Salvia leucantha Cav.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/0qp-wnv-nf5
title: Spergularia media (L.) C. Presl

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/mls-yaf-vhq
title: Leontopodium alpinum Cass.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3886/icpsr03044
title: Current Population Survey, August 1998: Food Security Supplement
title: Archival Version

description: Data are provided in this collection on labor force activity for the week prior to the survey. Comprehensive data are available on the employment status, occupation, and industry of persons 15 years old and older. Also shown are personal characteristics such as age, sex, race, marital status, veteran status, household relationship, educational background, and Hispanic origin. The Food Security Supplement was conducted by the Bureau of the Census for the Food and Consumer Service (FCS) of the United States Department of Agriculture. Supplement questions were asked of all interviewed households, as appropriate. Questions included expenditure for food, whether the household had enough food and had the kinds of food they wanted, and whether the household was running short of money and trying to make their food or food money go further. Additional questions dealt with getting food from food pantries or soup kitchens, cutting the size of or skipping meals, and loosing weight because there was not enough food. The supplement was intended to research the full range of the severity of food insecurity and hunger as experienced in United States households and was used by the supplement sponsor to produce a scaled measure of food insecurity. Responses to individual items in this supplement are not meaningful measures of food insufficiency and should not be used in such a manner.
description: The probability sample selected to represent the universe consists of approximately 57,000 households.
description: Datasets: DS1: Current Population Survey, August 1998: Food Security Supplement
description: All persons in the civilian noninstitutional population of the United States living in households.
DOI: 10.3535/jv9-967-vdm
title: Cleistogenes serotina (L.) Keng

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3886/icpsr09193
title: National Ambulatory Medical Care Survey, 1975
title: Archival Version

description: The National Ambulatory Medical Care Surveys (NAMCS) supply data on ambulatory medical care provided in physicians' offices. These national estimates describe the utilization of ambulatory medical care and the nature and treatment of illness among the population seeking ambulatory care. The survey includes data on date of visit, reason for visit, date of birth, sex and race of patient, diagnosis, treatment, disposition of visit, and the physician's specialty.
description: Datasets: 
 
 DS1: Dataset
description: National Ambulatory Medical Care Survey Series
description: (1) The medical information is coded using the EIGHTH REVISION INTERNATIONAL CLASSIFICATION OF DISEASES, ADAPTED FOR USE IN THE UNITED STATES (ICDA).
description: Office visits to nonfederally employed physicians classified by the American Medical Association (AMA) or the American Osteopathic Association (AOA) as "office-based patient care" (excluding specialties of anesthesiology, pathology, and radiology) from 87 Primary Sampling Units (PSUs) in the United States.
description: Stratified multistage probability design. In the first stage the PSUs were selected by a modified probability proportional-to-size procedure using separate sampling frames for SMSAs and for nonmetropolitan counties. The second stage consisted of a probability sample in 1975 of 3,507 practicing physicians selected from the master files maintained by the AMA and AOA. Within each PSU, all eligible physicians were stratified by nine specialty groups. The groups are: general/family practice, internal medicine, pediatrics, other medical specialties, general surgery, obstetrics/gynecology, other surgical specialties, psychiatry, and other specialties. The number physicians in scope and agreeing to participate was 2,472. The final stage was the selection of patient visits within the annual practices of sample physicians. This involved two steps. First, the total physician sample was divided into 52 with each group randomly assigned to 1 of the 52 weeks in the survey year. Second, a systematic random sample of visits was selected by the physician during the assigned week. The total number of patient records for these visits was 62,697.
DOI: 10.3535/szz-yv4-cyj
title: Aira elegans Willd. ex Roem. & Schult.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ym7-v84-xt3
title: Chenopodiastrum murale (L.) S. Fuentes, Uotila & Borsch

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/h9t-dp8-vkg
title: Lactuca viminea (L.) J. Presl & C. Presl

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/p7e-wl4-ck7
title: Valerianella dentata (L.) Pollich

description: Digital Specimen for the physical specimen hosted at University of Graz.