cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0202836.10fu
title: SH0202836.10FU

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/sh0202837.10fu
title: SH0202837.10FU

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/sh0202838.10fu
title: SH0202838.10FU

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/sh0202839.10fu
title: SH0202839.10FU

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/sh0202840.10fu
title: SH0202840.10FU

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: 10.15468/dl.qez6vv
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Heptanthura phuket Kensley & Schotte, 2000"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0121097-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h7whyb
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anthurium aureum Engl."
 ]
}

 The dataset includes 65 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037075-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f9ceuq
title: Occurrence Download

description: A dataset containing 128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-96.6825142999999940 40.7917125000000027, -96.6825142999999940 40.7929512899999978, -96.6825142999999940 40.7946273000000019, -96.6825142999999940 40.7958660899999970, -96.6825142999999940 40.7975421000000011, -96.6825142999999940 40.7989995000000008, -96.6809900699999929 40.7989995000000008, -96.6791758699999946 40.7989995000000008, -96.6775068099999970 40.7989995000000008, -96.6764182900000009 40.7989995000000008, -96.6750392000000005 40.7989995000000008, -96.6750392000000005 40.7983436700000013, -96.6750392000000005 40.7968862700000017, -96.6750392000000005 40.7959389600000009, -96.6750392000000005 40.7947730400000026, -96.6750392000000005 40.7935342500000004, -96.6750392000000005 40.7917125000000027, -96.6759828900000002 40.7917125000000027, -96.6774342399999966 40.7917125000000027, -96.6787404699999939 40.7917125000000027, -96.6809900699999929 40.7917125000000027, -96.6825142999999940 40.7917125000000027))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 128 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079564-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6473cq
title: Occurrence Download

description: A dataset containing 200 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Melilotus speciosus Durieu"
 ]
}

 The dataset includes 200 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0126365-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fctjkp
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Paraguay",
 "Geometry POLYGON((-57.70361 -27.42908,-55.53037 -27.4416,-55.57103 -27.00773,-55.18476 -27.00773,-54.90449 -26.84459,-54.70119 -26.62671,-54.55888 -25.69611,-54.396 -24.83959,-54.2336 -24.31431,-54.39624 -23.86889,-55.33142 -23.92465,-55.55723 -23.32044,-55.57539 -22.56104,-55.94133 -22.33557,-56.46904 -22.11769,-56.85688 -22.34041,-57.72369 -22.13423,-56.49634 -24.3907,-56.75842 -25.50781,-57.42793 -27.07897,-57.70361 -27.42908))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Handroanthus heptaphyllus (Vell.) Mattos"
 ]
}

 The dataset includes 33 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0108844-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dp3npx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anthurium arenasense Croat & D.C.Bay"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037045-230224095556074/datasets/export for details.
DOI: 10.15468/dl.nkxtqj
title: Occurrence Download

description: A dataset containing 2369 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Platanthera blephariglottis (Willd.) Lindl."
 ]
}

 The dataset includes 2369 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079589-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jzzqyp
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anthurium armeniense Croat"
 ]
}

 The dataset includes 46 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037055-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4sgyez
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Paraguay",
 "Geometry POLYGON((-57.70361 -27.42908,-55.53037 -27.4416,-55.57103 -27.00773,-55.18476 -27.00773,-54.90449 -26.84459,-54.70119 -26.62671,-54.55888 -25.69611,-54.396 -24.83959,-54.2336 -24.31431,-54.39624 -23.86889,-55.33142 -23.92465,-55.55723 -23.32044,-55.57539 -22.56104,-55.94133 -22.33557,-56.46904 -22.11769,-56.85688 -22.34041,-57.72369 -22.13423,-56.49634 -24.3907,-56.75842 -25.50781,-57.42793 -27.07897,-57.70361 -27.42908))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Myrocarpus frondosus Allemão"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0108828-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ftgxkw
title: Occurrence Download

description: A dataset listing the 85007 species recorded in GBIF matching the query:
{
 "Country" : [
 "is Netherlands"
 ]
}

 The dataset's 85007 records were derived from 1234 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037069-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.25720113
title: Additional file 1 of Selection signatures and landscape genomics analysis to reveal climate adaptation of goat breeds

description: Additional file 1: Table S1. Goat sample information and climate data. Table S2. The top 1% candidate SNPs (red color) under selection identified by the Fst method. Table S3. The top 1% candidate SNPs (red color) under selection identified by XPEHH method. Table S4. The top 1% candidate SNPs (red color) under selection identified by the LFMM method. Table S5. Top 1000 SNPs associated with environmental variables identified by SAM method. Table S6. 74 candidate genes identified by four method (Fst, XPEHH, LFMM, and SAM). Table S7. 148 go and kegg terms identified by 74 candidate genes.
DOI: 10.6084/m9.figshare.25720113.v1
title: Additional file 1 of Selection signatures and landscape genomics analysis to reveal climate adaptation of goat breeds

description: Additional file 1: Table S1. Goat sample information and climate data. Table S2. The top 1% candidate SNPs (red color) under selection identified by the Fst method. Table S3. The top 1% candidate SNPs (red color) under selection identified by XPEHH method. Table S4. The top 1% candidate SNPs (red color) under selection identified by the LFMM method. Table S5. Top 1000 SNPs associated with environmental variables identified by SAM method. Table S6. 74 candidate genes identified by four method (Fst, XPEHH, LFMM, and SAM). Table S7. 148 go and kegg terms identified by 74 candidate genes.
DOI: 10.15468/dl.3bu9jx
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lycalopex culpaeus (Molina, 1782)"
 ]
}

 The dataset includes 70 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0119147-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r3zd8a
title: Occurrence Download

description: A dataset containing 8708 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Serapias cordigera L."
 ]
}

 The dataset includes 8708 records from 184 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0125342-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w4ndwj
title: Occurrence Download

description: A dataset containing 5710307 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phalacrocorax carbo (Linnaeus, 1758)"
 ]
}

 The dataset includes 5710307 records from 3975 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005113-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/xmsh-awy6-0d0a
title: CASES-97: Whitewater 5-mb CLASS Radiosonde Profiles. Version 1.0

description: CLASS radiosonde profiles taken at Whitewater, Kansas for the CASES-97 program. The site was operated by NCAR/Earth Observing Laboratory (formerly Atmospheric Technology Division). These soundings have been interpolated to 5 mb vertical intervals. The quality control information is that provided by NCAR/EOL. UCAR/JOSS has not altered these soundings in any way. This data set includes pressure, temperature, dew point, relative humidity, wind speed, wind direction, and altitude. Refer to the readme file for details.
DOI: 10.15468/dl.p6c92p
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tharyx killariensis",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 75 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042066-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17254328
title: temp
DOI: 10.5281/zenodo.17254333
title: temp
DOI: 10.26023/bvg2-69y2-wg0q
title: IHOP_2002: ISFS Supplemental Surface Met Station Data. Version 1.0

description: Supplemental data from the Integrated Surface Flux System (ISFS) Meteorological Stations. Data includes pressure, temperature, humidity, wind speed, and wind direction for the IHOP time period. Five stations are represented in this dataset. Four of the stations' data are in ASCII comma delimited format with a single file for each station for the entire time period. The fifth station's data is in netCDF format and is broken down into 1006 hourly files for the entire time period.
DOI: 10.15468/dl.w2kwug
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dynastor macrosiris hannibal"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042067-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17254327
title: Foundations of Reality-Grounded Generative Intelligence: A Unified Computational–Mathematical–Engineering Framework for Synthetic Data Augmentation and Emergent Knowledge Synthesis

description: This manuscript delineates a comprehensive theoretical framework for advancing generative artificial intelligence (GAI) systems, emphasizing the synthesis of physically consistent and semantically coherent synthetic data anchored in real-world ontologies. The proposed \textit{Reality-Anchored Generative Intelligence (RAGI)} paradigm transcends traditional data-driven approaches by integrating high-fidelity physical simulations, causal inference mechanisms, differential geometric embeddings, and topological data analysis within a cohesive computational architecture. Employing hybrid symbolic-subsymbolic inference, constrained variational autoencoders, physics-informed neural networks (PINNs), and manifold-preserving generative adversarial networks, RAGI facilitates the generation of synthetic instances that augment empirical datasets while preserving structural validity, counterfactual plausibility, and epistemic fidelity. Theoretical assurances of consistency, generalizability, robustness, and stability are derived through measure-theoretic probability, category-theoretic composability, information-theoretic divergence bounds, and Lyapunov-theoretic guarantees. Extended to biomedical domains, RAGI enables applications in physiological signal modeling, medical image analysis, genome modeling, and synthetic data generation for privacy-preserving healthcare. While rooted in rigorous theoretical foundations, the framework is complemented by a delineated experimental roadmap and predictive analyses across multimodal domains, including fluid dynamics, molecular synthesis, materials engineering, and precision medicine. Supported by over 100 contemporary citations from esteemed repositories, this work furnishes a theoretically robust and practically oriented blueprint for elevating generative AI in scientific inquiry.
DOI: 10.5281/zenodo.17254326
title: Foundations of Reality-Grounded Generative Intelligence: A Unified Computational–Mathematical–Engineering Framework for Synthetic Data Augmentation and Emergent Knowledge Synthesis

description: This manuscript delineates a comprehensive theoretical framework for advancing generative artificial intelligence (GAI) systems, emphasizing the synthesis of physically consistent and semantically coherent synthetic data anchored in real-world ontologies. The proposed \textit{Reality-Anchored Generative Intelligence (RAGI)} paradigm transcends traditional data-driven approaches by integrating high-fidelity physical simulations, causal inference mechanisms, differential geometric embeddings, and topological data analysis within a cohesive computational architecture. Employing hybrid symbolic-subsymbolic inference, constrained variational autoencoders, physics-informed neural networks (PINNs), and manifold-preserving generative adversarial networks, RAGI facilitates the generation of synthetic instances that augment empirical datasets while preserving structural validity, counterfactual plausibility, and epistemic fidelity. Theoretical assurances of consistency, generalizability, robustness, and stability are derived through measure-theoretic probability, category-theoretic composability, information-theoretic divergence bounds, and Lyapunov-theoretic guarantees. Extended to biomedical domains, RAGI enables applications in physiological signal modeling, medical image analysis, genome modeling, and synthetic data generation for privacy-preserving healthcare. While rooted in rigorous theoretical foundations, the framework is complemented by a delineated experimental roadmap and predictive analyses across multimodal domains, including fluid dynamics, molecular synthesis, materials engineering, and precision medicine. Supported by over 100 contemporary citations from esteemed repositories, this work furnishes a theoretically robust and practically oriented blueprint for elevating generative AI in scientific inquiry.
DOI: 10.15468/dl.hny5fv
title: Occurrence Download

description: A dataset containing 87422 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Zalembius rosaceus"
 ]
}

 The dataset includes 87422 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042048-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/3yp3-k4c7-450b
title: FASTEX soundings from Keflavic. Version 1.0

description: This dataset consists of sounding data from Keflavic in Iceland (WMO 04018) which was operated by the Iceland Meteorological Office. Soundings were taken four times per day (00, 06, 12, and 18 UTC). These data were processed through automated and visual quality control. This dataset includes pressure, temperature, dew point, relative humidity, wind speed, wind direction, and altitude taken at 5 second vertical intervals up to 480 seconds, and 10 second vertical intervals after 480 seconds. Refer to the station README for details.
DOI: 10.15468/dl.tfurkc
title: Occurrence Download

description: A dataset containing 3576 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Argiope bruennichi",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3576 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042068-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xhwy6v
title: Occurrence Download

description: A dataset containing 467 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Argiope bruennichi",
 "Country is Luxembourg",
 "HasCoordinate is true"
 ]
}

 The dataset includes 467 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042069-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.