cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0000968.10fu
title: SH0000968.10FU

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/sh0000969.10fu
title: SH0000969.10FU

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/sh0000970.10fu
title: SH0000970.10FU

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.s7xacr
title: Occurrence Download

description: A dataset containing 687249 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alliaria petiolata)",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 687249 records from 2165 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074284-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.8283374
title: UFLUX 100m half-yearly carbon, water, and energy fluxes in Europe in 2017

description: UFLUX Ensemble Europe100m6monthly (European 100 6-monthly) in 2017

OverviewThe UFLUX ensemble dataset offers European fluxes at 100 m spatial resolution, generated using Deep Forest machine learning models. It integrates satellite-based Sentinel-2 vegetation proxies NIRv with ERA5 climate reanalysis, and is trained against ICOS eddy covariance observations. The UFLUX project includes five core flux components:





Gross Primary Production (GPP)




Ecosystem Respiration (RECO)




Net Ecosystem Exchange (NEE)




Sensible Heat Flux (H)




Latent Energy Flux (LE)



Background and MethodologyThe Unified FLUXes (UFLUX) initiative is a data-driven, machine learning-based platform designed to upscale eddy covariance (EC) flux measurements from tower sites to the global scale. It aims to answer pressing questions about how effectively terrestrial ecosystems are managed under climate change.

Key innovations of UFLUX include:





Consistent Upscaling Framework: Harmonizes flux upscaling across spatial/temporal scales and multiple flux types (GPP, RECO, etc.) using deep decision tree-based methods, better suited than conventional neural networks for EC flux data.




Hybrid Explainable ML: Combines black-box ML with ecological interpretability through residual learning, offering both predictive power and new scientific insight (UFLUXv2).




Uncertainty Quantification: Employs sampling space completeness to assess model uncertainty in a transparent, robust manner.




Multisource Integration: Leverages complementary strengths of vegetation proxies (e.g., NIRv, SIF) and climate data (e.g., ERA5) to represent carbon dynamics more comprehensively than single-source approaches.




Superior Gap-Filling: Originally developed as a global EC flux gap-filling tool, UFLUX improves accuracy by up to 30% and reduces uncertainty by as much as 70% compared to traditional methods.




High Performance: Achieves strong predictive accuracy, with global-scale R² > 0.8 for RECO and ≈0.9 for GPP, while being computationally efficient enough to run on a standard laptop.




Community Adoption: Already used by other global upscaling projects, highlighting its reliability and impact.



ApplicationsUFLUX is ideal for studying the interactions between land management, climate change, and carbon fluxes, particularly in improving global estimates of GPP and RECO by addressing biases in EC measurements.

Resources



UFLUX Website: https://sites.google.com/view/uflux



Code Repository: https://github.com/soonyenju/uflux




Technical & Descriptive Publication: https://doi.org/10.1080/01431161.2024.2312266
DOI: 10.5281/zenodo.8283375
title: UFLUX 100m half-yearly carbon, water, and energy fluxes in Europe in 2017

description: UFLUX Ensemble Europe100m6monthly (European 100 6-monthly) in 2017

OverviewThe UFLUX ensemble dataset offers European fluxes at 100 m spatial resolution, generated using Deep Forest machine learning models. It integrates satellite-based Sentinel-2 vegetation proxies NIRv with ERA5 climate reanalysis, and is trained against ICOS eddy covariance observations. The UFLUX project includes five core flux components:





Gross Primary Production (GPP)




Ecosystem Respiration (RECO)




Net Ecosystem Exchange (NEE)




Sensible Heat Flux (H)




Latent Energy Flux (LE)



Background and MethodologyThe Unified FLUXes (UFLUX) initiative is a data-driven, machine learning-based platform designed to upscale eddy covariance (EC) flux measurements from tower sites to the global scale. It aims to answer pressing questions about how effectively terrestrial ecosystems are managed under climate change.

Key innovations of UFLUX include:





Consistent Upscaling Framework: Harmonizes flux upscaling across spatial/temporal scales and multiple flux types (GPP, RECO, etc.) using deep decision tree-based methods, better suited than conventional neural networks for EC flux data.




Hybrid Explainable ML: Combines black-box ML with ecological interpretability through residual learning, offering both predictive power and new scientific insight (UFLUXv2).




Uncertainty Quantification: Employs sampling space completeness to assess model uncertainty in a transparent, robust manner.




Multisource Integration: Leverages complementary strengths of vegetation proxies (e.g., NIRv, SIF) and climate data (e.g., ERA5) to represent carbon dynamics more comprehensively than single-source approaches.




Superior Gap-Filling: Originally developed as a global EC flux gap-filling tool, UFLUX improves accuracy by up to 30% and reduces uncertainty by as much as 70% compared to traditional methods.




High Performance: Achieves strong predictive accuracy, with global-scale R² > 0.8 for RECO and ≈0.9 for GPP, while being computationally efficient enough to run on a standard laptop.




Community Adoption: Already used by other global upscaling projects, highlighting its reliability and impact.



ApplicationsUFLUX is ideal for studying the interactions between land management, climate change, and carbon fluxes, particularly in improving global estimates of GPP and RECO by addressing biases in EC measurements.

Resources



UFLUX Website: https://sites.google.com/view/uflux



Code Repository: https://github.com/soonyenju/uflux




Technical & Descriptive Publication: https://doi.org/10.1080/01431161.2024.2312266
DOI: 10.3886/icpsr03473.v2
title: Multiple Cause of Death, 1999
title: Version 2

description: This data collection includes information about the cause
 of all recorded deaths occurring in the United States, Puerto Rico,
 the Virgin Islands, Guam, American Samoa, and the Commonwealth of the
 Northern Marianas during 1999. Data are provided concerning underlying
 causes of death, multiple conditions that caused the death, place of
 death, residence of the deceased (e.g., region, division, state,
 county), whether an autopsy was performed, and the month and day of
 the week of the death. In addition, data are supplied on the sex,
 race, age, marital status, education, usual occupation, and origin or
 descent of the deceased. In addition to the combined Territory
 Public-Use file (Part 2), a subset based on state of occurrence has
 been created for Puerto Rico, Virgin Islands, American Samoa, Guam,
 and Northern Marianas. Mortality detail data for 1999 also can be
 extracted from this file. The mortality detail records are contained
 in the first 159 positions of these multiple cause records. The
 multiple cause of death fields were coded from the MANUAL OF THE
 INTERNATIONAL STATISTICAL CLASSIFICATION OF DISEASES AND RELATED
HEALTH PROBLEMS, TENTH REVISION (ICD-10), VOLUMES 1, 2, AND 3.
description: Datasets: 
DS0: Study-Level Files
DS1: United States
DS2: Combined Territories
DS3: Puerto Rico
DS4: Virgin Islands
DS5: Guam
DS6: American Samoa
DS7: Northern Marianas
description: All recorded deaths occurring in the United States, Puerto
 Rico, the Virgin Islands, Guam, American Samoa, and the Commonwealth
of the Northern Marianas during 1999.
description: (1) Effective with 1999 data, cause of death
 information is classified according to the MANUAL OF THE INTERNATIONAL
 STATISTICAL CLASSIFICATION OF DISEASES AND RELATED HEALTH PROBLEMS,
 TENTH REVISION (ICD-10), VOLUMES 1, 2, AND 3. (2) Effective with the
 1998 data, the Commonwealth of the Northern Mariana's records are
 included in the Territories' Public-Use File (Part 2). (3) The data
 year is no longer located in positions 1-2 of the record. A four-digit
 data year is now located in positions 115-118. (4) The geographic
 codes were changed effective with the 1996 data to reflect the results
 of the 1990 Census. (5) Per agreement with NCHS, ICPSR distributes the
 data files and text of the technical documentation for this collection
 as prepared by NCHS. (6) The codebook, frequencies, record layout,
 appendices, and geographical code outlines are provided as Portable
Document Format (PDF) files.
DOI: 10.25549/inscriptifact-ouc110876632
title: Persepolis Fortification Elamite Tablet 2266.105, Fort 2266.105

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] Fort 2266.105 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impression on reverse, upper edge. ❧ [Physical Object Note:] Right edge broken off, upper edge damaged.
DOI: 10.25549/inscriptifact-ouc110876639
title: Persepolis Fortification Elamite Tablet 2266.105, Fort 2266.105

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] Fort 2266.105 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impression on reverse, upper edge. ❧ [Physical Object Note:] Right edge broken off, upper edge damaged.
DOI: 10.15468/dl.5c5aej
title: Occurrence Download

description: A dataset containing 101 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-87.7600350000000020 42.0227604999999969, -87.7600350000000020 42.0240621399999981, -87.7600350000000020 42.0259712100000016, -87.7600350000000020 42.0271860699999991, -87.7600350000000020 42.0290083699999997, -87.7600350000000020 42.0298761299999981, -87.7600350000000020 42.0317852000000016, -87.7582912999999962 42.0317852000000016, -87.7557629300000031 42.0317852000000016, -87.7539320500000031 42.0317852000000016, -87.7527114600000004 42.0317852000000016, -87.7513165000000015 42.0317852000000016, -87.7513165000000015 42.0300496799999976, -87.7513165000000015 42.0285744899999969, -87.7513165000000015 42.0271860699999991, -87.7513165000000015 42.0261447600000011, -87.7513165000000015 42.0241489200000018, -87.7513165000000015 42.0227604999999969, -87.7527114600000004 42.0227604999999969, -87.7539320500000031 42.0227604999999969, -87.7564604100000025 42.0227604999999969, -87.7584656700000068 42.0227604999999969, -87.7600350000000020 42.0227604999999969))",
 "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 101 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0096525-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc110876648
title: Persepolis Fortification Elamite Tablet 2266.105, Fort 2266.105

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] Fort 2266.105 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impression on reverse, upper edge. ❧ [Physical Object Note:] Right edge broken off, upper edge damaged.
DOI: 10.15468/dl.3ygdm5
title: Occurrence Download

description: A dataset containing 92 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Panama",
 "OccurrenceStatus is Present",
 "TaxonKey is Sachatamia albomaculata (Taylor, 1949)"
 ]
}

 The dataset includes 92 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088773-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc110876654
title: Persepolis Fortification Elamite Tablet 2266.105, Fort 2266.105

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] Fort 2266.105 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impression on reverse, upper edge. ❧ [Physical Object Note:] Right edge broken off, upper edge damaged.
DOI: 10.25549/inscriptifact-ouc110876890
title: Persepolis Fortification Elamite Tablet 2266.106, Fort 2266.106

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] Fort 2266.106 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impression on left edge, reverse. ❧ [Physical Object Note:] Bottom edge, right edge broken. Damage on reverse.
DOI: 10.15468/dl.j97yqu
title: Occurrence Download

description: A dataset containing 841 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Equus zebra Linnaeus, 1758"
 ]
}

 The dataset includes 841 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0133683-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc110876892
title: Persepolis Fortification Elamite Tablet 2266.106, Fort 2266.106

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] Fort 2266.106 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impression on left edge, reverse. ❧ [Physical Object Note:] Bottom edge, right edge broken. Damage on reverse.
DOI: 10.25549/inscriptifact-ouc110876899
title: Persepolis Fortification Elamite Tablet 2266.106, Fort 2266.106

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] Fort 2266.106 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impression on left edge, reverse. ❧ [Physical Object Note:] Bottom edge, right edge broken. Damage on reverse.
DOI: 10.15468/dl.7cnp57
title: Occurrence Download

description: A dataset containing 784 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Apodemus mystacinus (Danford & Alston, 1877)",
 "Year 1950-2023"
 ]
}

 The dataset includes 784 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0205389-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc110876897
title: Persepolis Fortification Elamite Tablet 2266.106, Fort 2266.106

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] Fort 2266.106 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impression on left edge, reverse. ❧ [Physical Object Note:] Bottom edge, right edge broken. Damage on reverse.
DOI: 10.15468/dl.9u24bv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Leptographium penicillatum Grosmann",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 {
 "or" : [
 "Country is United States of America",
 "Country is United States",
 "Country is United States of America",
 "Country is Canada",
 "Continent is North America"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0133691-210914110416597/datasets/export for details.
DOI: 10.25549/inscriptifact-ouc110876903
title: Persepolis Fortification Elamite Tablet 2266.106, Fort 2266.106

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] Fort 2266.106 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impression on left edge, reverse. ❧ [Physical Object Note:] Bottom edge, right edge broken. Damage on reverse.
DOI: 10.25573/data.10042466.v21
title: Barro Colorado Island, AVA tower_Precipitation

description: Barro Colorado Island, AVA tower.<br>Precipitation, electronic tipping bucket<br><br>Established in Mar, 2011 as part of the ForestGEO Tropical Ecology, Assessment and Monitoring (TEAM) project.<br>The original tower was Located near the center of the island at the north west corner of the 50ha plot (9.1568°, -79.8486°).<br>In 2018 this tower was struck by a tree fall and rendered unusable.<br>In Feb. 2019 a new 45m tower was build close by (9.1568°, -79.8486°). <br>
DOI: 10.15468/dl.nyu8jd
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gymnopus sequoiae (Desjardin) R.H.Petersen",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 {
 "or" : [
 "Country is United States of America",
 "Country is United States",
 "Country is United States of America",
 "Country is Canada",
 "Continent is North America"
 ]
 }
 ]
}

 The dataset includes 8 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0133688-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc110876837
title: Persepolis Fortification Elamite Tablet 2266.106, Fort 2266.106

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] Fort 2266.106 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impression on left edge, reverse. ❧ [Physical Object Note:] Bottom edge, right edge broken. Damage on reverse.