cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.qzm9ab
title: Occurrence Download

description: A dataset containing 440 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Tichocarpaceae)"
 ]
}

 The dataset includes 440 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002370-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kmcg43
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lepidocyrtus pallidus O.M.Reuter, 1892)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 64 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043818-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ky527u
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bregmaceros lanceolatus Shen, 1960"
 ]
}

 The dataset includes 68 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0098670-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aeuc42
title: Occurrence Download

description: A dataset containing 72620 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Artemisia absinthium L."
 ]
}

 The dataset includes 72620 records from 834 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015504-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zvbkxd
title: Occurrence Download

description: A dataset containing 42135 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Asparagus officinalis L.",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 42135 records from 345 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049407-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f2ku5e
title: Occurrence Download

description: A dataset containing 1004 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sesuvium verrucosum Raf.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1004 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0142426-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8wfcjm
title: Occurrence Download

description: A dataset containing 4787 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 Perdicula argoondah (Sykes, 1832)"
 ]
}

 The dataset includes 4787 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002369-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lck2m1
title: Occurrence Download

description: A dataset containing 637 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Observation",
 "HasCoordinate is true",
 "TaxonKey is Gryllotalpa Latreille, 1802",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 637 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049408-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b6xhny
title: Occurrence Download

description: A dataset containing 611 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Artanema longifolium (L.) Vatke"
 ]
}

 The dataset includes 611 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015483-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hambmf
title: Occurrence Download

description: A dataset containing 322 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "TaxonKey is Criorhina ranunculi (Panzer, 1803)"
 ]
}

 The dataset includes 322 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0222693-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zwfuec
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Iran (Islamic Republic of)",
 "Year 2010-2019",
 "HasCoordinate is true",
 "TaxonKey is Oxyura leucocephala (Scopoli, 1769)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 67 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049411-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p4rqd8
title: Occurrence Download

description: A dataset containing 778 species occurrences available in GBIF matching the query:
{
 "or" : [
 "TaxonKey is Trichocereus atacamensis (Phil.) W.T.Marshall & T.M.Bock",
 "TaxonKey is Trichocereus candicans (Gillies ex Salm-Dyck) Britton & Rose",
 "TaxonKey is Trichocereus thelegonus (F.A.C.Weber) Britton & Rose",
 "TaxonKey is Tunilla corrugata (Salm-Dyck) D.R.Hunt & Iliff",
 "TaxonKey is Cerastium tucumanense Pax",
 "TaxonKey is Atriplex argentina Speg."
 ]
}

 The dataset includes 778 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094338-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tvb3j4
title: Occurrence Download

description: A dataset containing 2620 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 Neafrapus boehmi (Schalow, 1882)"
 ]
}

 The dataset includes 2620 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056216-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nhvopf
title: Occurrence Download

description: A dataset containing 263 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Asparagus falcatus L.",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 263 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049412-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uxjvqm
title: Occurrence Download

description: A dataset containing 33354 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Ireland, United Kingdom of Great Britain and Northern Ireland, Svalbard and Jan Mayen, Norway, Sweden, Finland, Estonia, Latvia, Lithuania, Portugal, Spain, France, Germany, Belgium, Netherlands, Switzerland, Austria, Italy, Greece, Cyprus, Türkiye, Russian Federation, Belarus, Ukraine, Poland, Czechia, Hungary, Slovakia, Romania, Bulgaria, North Macedonia, Albania, Montenegro, Serbia, Kosovo, Bosnia and Herzegovina, Slovenia, Croatia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dorycnium pentaphyllum Scop."
 ]
}

 The dataset includes 33354 records from 289 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043817-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nm8jkx
title: Occurrence Download

description: A dataset containing 14747 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Antarctica",
 "Country is Antarctica",
 "OccurrenceStatus is Present",
 "PublishingCountry is Antarctica",
 "StartDayOfYear 1-366",
 "TaxonKey is Animalia",
 "Year is 2023"
 ]
}

 The dataset includes 14747 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026999-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7274/27936906
title: Uncertainty and Novelty in Machine Learning

description: Uncertainty and novelty are inherent in machine learning, especially as new information is encountered and the hypothesis set’s best model is to be determined given the current information. Ideally, we could answer the following: what are the types of uncertainty and novelty that a predictor could encounter and how do we measure them, how does uncertainty and novelty effect the information perceived from observations, and how can a predictor be evaluated when learning a such phenomena.
This work answers these questions through both theory and application. We provide a Bayesian evaluation framework for subjective tasks where different sources of uncertainty are considered and the truth itself is uncertain. We introduce an abstraction of novelty that is then further developed in terms of information theory and algorithms.
This formalizes the concept of identifiable information that arises from the language used to express the relationship between distinct states. Through the computation of the indicator function, model identifiability and sample complexity are defined and their properties are described for different data-generating processes, ranging from deterministic to ergodic stationary stochastic processes. This demonstrates identifying information in finite steps to asymptotic statistics and PAC-learning, where we recover identification within finite observations at the cost of uncertainty and error.
We explore the practical evaluation of novelty detection and adaptation with new benchmarks in handwriting recognition and human activity recognition.
DOI: 10.7274/27936906.v1
title: Uncertainty and Novelty in Machine Learning

description: Uncertainty and novelty are inherent in machine learning, especially as new information is encountered and the hypothesis set’s best model is to be determined given the current information. Ideally, we could answer the following: what are the types of uncertainty and novelty that a predictor could encounter and how do we measure them, how does uncertainty and novelty effect the information perceived from observations, and how can a predictor be evaluated when learning a such phenomena.
This work answers these questions through both theory and application. We provide a Bayesian evaluation framework for subjective tasks where different sources of uncertainty are considered and the truth itself is uncertain. We introduce an abstraction of novelty that is then further developed in terms of information theory and algorithms.
This formalizes the concept of identifiable information that arises from the language used to express the relationship between distinct states. Through the computation of the indicator function, model identifiability and sample complexity are defined and their properties are described for different data-generating processes, ranging from deterministic to ergodic stationary stochastic processes. This demonstrates identifying information in finite steps to asymptotic statistics and PAC-learning, where we recover identification within finite observations at the cost of uncertainty and error.
We explore the practical evaluation of novelty detection and adaptation with new benchmarks in handwriting recognition and human activity recognition.
DOI: 10.15468/dl.5dwvtz
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Prionace glauca (Linnaeus, 1758)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 18 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027002-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d9keta
title: Occurrence Download

description: A dataset containing 301 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hoplobrotula armata (Temminck & Schlegel, 1846)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 301 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027007-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9xv8h8
title: Occurrence Download

description: A dataset containing 405 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aotus azarae (Humboldt, 1812)"
 ]
}

 The dataset includes 405 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027009-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c825c3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Brotula armata Temminck & Schlegel, 1846",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027011-241126133413365/datasets/export for details.
DOI: 10.15468/dl.vr5fjz
title: Occurrence Download

description: A dataset containing 20899 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Flora al interior del Área 1 del Banco de Hábitat del Meta de Terrasos"
 ]
}

 The dataset includes 20899 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027013-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g2n5au
title: Occurrence Download

description: A dataset containing 111541 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Occurrence evidence, Specimen, Material citation, Material sample, Human Observation, Observation)",
 "TaxonKey is Daphne laureola L."
 ]
}

 The dataset includes 111541 records from 821 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027001-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jrqs9w
title: Occurrence Download

description: A dataset containing 102 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Saurida wanieso Shindo & Yamada, 1972",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 102 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027015-241126133413365/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.27996805
title: A new terpestacin-type sesterterpenoid with tricyclic 3/15/5 scaffold from an endophytic fungus <i>Neofusicoccum</i> sp. J019

description: Chemical investigation of an endophytic fungus, <i>Neofusicoccum</i> sp. J019, isolated from the plant species <i>Cynanchum chinense</i> R. Br., has led to the identification of an undescribed terpestacin-type sesterterpenoid, neofusistacin (<b>1</b>), together with two analogues (<b>2</b> and <b>3</b>). The structure of <b>1</b> was elucidated by extensive spectroscopic analyses including UV, IR, 1D, and 2D NMR, HRESIMS, and its absolute configuration was unambiguously confirmed by a single crystal X-ray diffraction analysis. Compound <b>1</b> is featured by a rare 3/15/5-fused tricyclic scaffold in terpestacin-type sesterterpenoid. The anti-inflammatory activities of compounds <b>1–3</b> were evaluated <i>in vitro</i>, but none of them showed obvious anti-inflammatory activities at the concentration of 100 μM. No antibacterial activity against <i>Escherichia coli</i> ATCC 25922, <i>Salmonella enterica</i> subsp. <i>enterica</i> ATCC 14028, and <i>Staphylococcus aureus</i> subsp. <i>aureus</i> ATCC 29213 was found for compounds <b>1–3</b> at the concentration of 100 μM.
DOI: 10.6084/m9.figshare.27996805.v1
title: A new terpestacin-type sesterterpenoid with tricyclic 3/15/5 scaffold from an endophytic fungus <i>Neofusicoccum</i> sp. J019

description: Chemical investigation of an endophytic fungus, <i>Neofusicoccum</i> sp. J019, isolated from the plant species <i>Cynanchum chinense</i> R. Br., has led to the identification of an undescribed terpestacin-type sesterterpenoid, neofusistacin (<b>1</b>), together with two analogues (<b>2</b> and <b>3</b>). The structure of <b>1</b> was elucidated by extensive spectroscopic analyses including UV, IR, 1D, and 2D NMR, HRESIMS, and its absolute configuration was unambiguously confirmed by a single crystal X-ray diffraction analysis. Compound <b>1</b> is featured by a rare 3/15/5-fused tricyclic scaffold in terpestacin-type sesterterpenoid. The anti-inflammatory activities of compounds <b>1–3</b> were evaluated <i>in vitro</i>, but none of them showed obvious anti-inflammatory activities at the concentration of 100 μM. No antibacterial activity against <i>Escherichia coli</i> ATCC 25922, <i>Salmonella enterica</i> subsp. <i>enterica</i> ATCC 14028, and <i>Staphylococcus aureus</i> subsp. <i>aureus</i> ATCC 29213 was found for compounds <b>1–3</b> at the concentration of 100 μM.
DOI: 10.5281/zenodo.14283693
title: Supplementary material on energy demand and CO2 emission scenarios for the German building sector

description: Supplementary material for the scenario analysis that is done within the project RokiG2050 (Roadmap für einen klimaneutralen Gebäudebestand 2050.)
DOI: 10.5281/zenodo.14283694
title: Supplementary material on energy demand and CO2 emission scenarios for the German building sector

description: Supplementary material for the scenario analysis that is done within the project RokiG2050 (Roadmap für einen klimaneutralen Gebäudebestand 2050.)
DOI: 10.15468/dl.gkn8st
title: Occurrence Download

description: A dataset containing 2237 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tantilla melanocephala (Linnaeus, 1758)"
 ]
}

 The dataset includes 2237 records from 127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027019-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1105397.10fu
title: SH1105397.10FU

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/sh1105398.10fu
title: SH1105398.10FU

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/sh1105399.10fu
title: SH1105399.10FU

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.