cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/qbg-cjb-6fj
title: Insecta

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/9dj-xm3-ym4
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ntm-hsv-8ce
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/c6p-cg3-588
title: Achnanthes brevipes var. capensis (Kütz.) Grunow

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/735-bgv-5y4
title: Gramineae Juss.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.15468/dl.b85jrx
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Draba ossetica"
 ]
}

 The dataset includes 38 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027626-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16013315
title: Universal Balance Theory (UBT) "The Mathematical Formulae for Consciousness" By: Michael Eric West 2025

description: You'd best be sitting down...
DOI: 10.5281/zenodo.16013316
title: Universal Balance Theory (UBT) "The Mathematical Formulae for Consciousness" By: Michael Eric West 2025

description: You'd best be sitting down...
DOI: 10.3535/zvb-9vd-jrv
title: Achnanthes subsessilis Kütz.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.15468/dl.g69rpt
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eleusine indica",
 "Country is Venezuela (Bolivarian Republic of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 53 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027627-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/l6m-1wv-ypv
title: Fragilaria intermedia (Grunow) Grunow

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.15468/dl.7x3vf8
title: Occurrence Download

description: A dataset containing 18646 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Marrubium vulgare",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 18646 records from 146 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027624-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.28gezz
title: Occurrence Download

description: A dataset containing 281 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhaponticum repens",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 281 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027630-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.824xz6
title: Occurrence Download

description: A dataset containing 748 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhaponticum repens",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 748 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027631-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rxjnkz
title: Occurrence Download

description: A dataset containing 7929849 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Korea, Republic of",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 7929849 records from 1452 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027591-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xdh8t7
title: Occurrence Download

description: A dataset containing 1512208412 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is EOD – eBird Observation Dataset"
 ]
}

 The dataset includes 1512208412 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007346-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1390771.10fu
title: SH1390771.10FU

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/sh1390772.10fu
title: SH1390772.10FU

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/sh1390774.10fu
title: SH1390774.10FU

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/sh1390775.10fu
title: SH1390775.10FU

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/sh1390778.10fu
title: SH1390778.10FU

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/sh1390779.10fu
title: SH1390779.10FU

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/sh1390781.10fu
title: SH1390781.10FU

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/sh1390786.10fu
title: SH1390786.10FU

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/sh1390787.10fu
title: SH1390787.10FU

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: 10.3535/dfv-tjs-tdz
title: Potentilla puberula Krasan

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/smg-7vy-ddh
title: Potentilla puberula Krasan

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/765-k10-mpn
title: Potentilla puberula Krasan

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/rar-jp8-bh2
title: Potentilla puberula Krasan

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/9gw-xmv-90j
title: Potentilla puberula Krasan

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/j63-nwp-cgw
title: Potentilla puberula Krasan

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.5281/zenodo.16585714
title: Pantheon+ Type Ia Supernova Raw Photometry for Model-Independent Cosmological Analysis

description: Complete raw photometry data for 1701 Type Ia supernovae from the Pantheon+ compilation, repackaged for model-independent cosmological analysis. Contains unprocessed light curves from 15 different surveys (ASASSN, CSP, CfA3, DES, Foundation, JLA/SDSS, JLA/SNLS, KAIT, LOSS, PS1, SWIFT) with natural system magnitudes and spectroscopic redshifts. This dataset specifically excludes pre-computed distances, SALT2 parameters, and ΛCDM-processed values, providing only raw observational data suitable for testing alternative cosmological models without circular dependencies. Includes metadata corrections and complete redshift catalog. Archive created for UDT (Universal Distance Dilation Theory) validation but suitable for any model-independent cosmological analysis. Original data from Pantheon+ collaboration (Scolnic et al. 2022, ApJ 938:113).
DOI: 10.5281/zenodo.16585715
title: Pantheon+ Type Ia Supernova Raw Photometry for Model-Independent Cosmological Analysis

description: Complete raw photometry data for 1701 Type Ia supernovae from the Pantheon+ compilation, repackaged for model-independent cosmological analysis. Contains unprocessed light curves from 15 different surveys (ASASSN, CSP, CfA3, DES, Foundation, JLA/SDSS, JLA/SNLS, KAIT, LOSS, PS1, SWIFT) with natural system magnitudes and spectroscopic redshifts. This dataset specifically excludes pre-computed distances, SALT2 parameters, and ΛCDM-processed values, providing only raw observational data suitable for testing alternative cosmological models without circular dependencies. Includes metadata corrections and complete redshift catalog. Archive created for UDT (Universal Distance Dilation Theory) validation but suitable for any model-independent cosmological analysis. Original data from Pantheon+ collaboration (Scolnic et al. 2022, ApJ 938:113).
DOI: 10.3535/6vd-l63-x69
title: Delphinium L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ne5-kt9-pr5
title: Helleborus niger L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/tlb-xml-0mz
title: Bartsia alpina L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/xbx-3d9-gz3
title: Delphinium L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/e0n-hfp-rcs
title: Clematis alpina (L.) Mill.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/94t-n13-njf
title: Myosotis scorpioides L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/sfr-6by-xpa
title: Vaccinium oxycoccos L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/pxp-4m9-nqr
title: Potentilla puberula Krasan

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/v9w-446-rp4
title: Helleborus L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/m3f-9yk-2rz
title: Ranunculus L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ydp-2t5-t1a
title: Potentilla puberula Krasan

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/hsm-24w-x2t
title: Potentilla puberula Krasan

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/nl7-emx-axz
title: Tofieldia calyculata (L.) Wahlenb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3886/icpsr01339
title: Repeated Events Survival Models: The Conditional Frailty Model
title: Archival Version

description: Repeated events processes are ubiquitous across a great range of important health, medical, and public policy applications, but models for these processes have serious limitations. Alternative estimators often produce different inferences concerning treatment effects due to bias and inefficiency. We recommend a robust strategy for the estimation of effects in medical treatments, social conditions, individual behaviors, and public policy programs in repeated events survival models under three common conditions: heterogeneity across individuals, dependence across the number of events, and both heterogeneity and event dependence. We develop a new model for repeated events processes that accurately accounts for the various conditions of heterogeneity and event dependence by using a frailty term, stratification, and gap time formulation of the risk set. We examine the performance of these models and others that are commonly used in applied work using Monte Carlo simulations, and apply the findings to data on chronic granulomatous disease and cystic.
description: Datasets: 
 
 DS1: Dataset
description: (1) There are ten data files and a readme file. These will be released as a zipped package. (2) These data are part of ICPSR's Publication-Related Archive and are distributed exactly as they arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigators if further information is desired.
DOI: 10.15468/dl.5bu6vz
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Geospiza parvula)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069845-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/44a-sxx-e8j
title: Helleborus L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/hxy-44h-mla
title: Hepatica nobilis Schreb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/raa-g2d-9le
title: Potentilla puberula Krasan

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/z73-e93-5zj
title: Potentilla puberula Krasan

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/sgw-7mj-m54
title: Poa nemoralis L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/yek-pp3-2xp
title: Potentilla puberula Krasan

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/66b-a6n-tv9
title: Potentilla puberula Krasan

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/wwt-7yf-8ve
title: Bromus japonicus Houtt.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/03x-fyn-sq8
title: Ficus scabra G. Forst.

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