cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/th004598
title: TH004598
title: Mycoarachis

description: Here we present the novel 'taxon hypothesis' (TH) concept to accommodate fungal 'species hypothesis' (SH) into existing classification frameworks for taxonomic communication. As supplied with Digital Object Identifiers (DOIs), THs are flexible in time and enable direct cross-communication of higher level taxa along with evolving classification schemes. Every TH includes given number of SHs and consequently fixed number of fungal rDNA ITS sequences. DNA sequences generated by High-throughput or Sanger sequencing studies and identified against UNITE SHs will be automatically assigned to THs as well.
DOI: 10.15156/bio/th004599
title: TH004599
title: Boletinellus

description: Here we present the novel 'taxon hypothesis' (TH) concept to accommodate fungal 'species hypothesis' (SH) into existing classification frameworks for taxonomic communication. As supplied with Digital Object Identifiers (DOIs), THs are flexible in time and enable direct cross-communication of higher level taxa along with evolving classification schemes. Every TH includes given number of SHs and consequently fixed number of fungal rDNA ITS sequences. DNA sequences generated by High-throughput or Sanger sequencing studies and identified against UNITE SHs will be automatically assigned to THs as well.
DOI: 10.15156/bio/sh1205435.08fu
title: SH1205435.08FU

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/sh1205436.08fu
title: SH1205436.08FU

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/th004600
title: TH004600
title: Asahinea

description: Here we present the novel 'taxon hypothesis' (TH) concept to accommodate fungal 'species hypothesis' (SH) into existing classification frameworks for taxonomic communication. As supplied with Digital Object Identifiers (DOIs), THs are flexible in time and enable direct cross-communication of higher level taxa along with evolving classification schemes. Every TH includes given number of SHs and consequently fixed number of fungal rDNA ITS sequences. DNA sequences generated by High-throughput or Sanger sequencing studies and identified against UNITE SHs will be automatically assigned to THs as well.
DOI: 10.15156/bio/th004601
title: TH004601
title: Pseudoarmillariella

description: Here we present the novel 'taxon hypothesis' (TH) concept to accommodate fungal 'species hypothesis' (SH) into existing classification frameworks for taxonomic communication. As supplied with Digital Object Identifiers (DOIs), THs are flexible in time and enable direct cross-communication of higher level taxa along with evolving classification schemes. Every TH includes given number of SHs and consequently fixed number of fungal rDNA ITS sequences. DNA sequences generated by High-throughput or Sanger sequencing studies and identified against UNITE SHs will be automatically assigned to THs as well.
DOI: 10.15156/bio/th004602
title: TH004602
title: Lobaria

description: Here we present the novel 'taxon hypothesis' (TH) concept to accommodate fungal 'species hypothesis' (SH) into existing classification frameworks for taxonomic communication. As supplied with Digital Object Identifiers (DOIs), THs are flexible in time and enable direct cross-communication of higher level taxa along with evolving classification schemes. Every TH includes given number of SHs and consequently fixed number of fungal rDNA ITS sequences. DNA sequences generated by High-throughput or Sanger sequencing studies and identified against UNITE SHs will be automatically assigned to THs as well.
DOI: 10.25549/one-c4-28181
title: Arthur A., letters (1959/1961)

description: Arthur A., forms, letters, note and response from Clarence W. Harrison (1959/1961)
DOI: 10.15156/bio/sh1205437.08fu
title: SH1205437.08FU

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/sh1205438.08fu
title: SH1205438.08FU

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/sh1205439.08fu
title: SH1205439.08FU

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/th004603
title: TH004603
title: Heteroradulum

description: Here we present the novel 'taxon hypothesis' (TH) concept to accommodate fungal 'species hypothesis' (SH) into existing classification frameworks for taxonomic communication. As supplied with Digital Object Identifiers (DOIs), THs are flexible in time and enable direct cross-communication of higher level taxa along with evolving classification schemes. Every TH includes given number of SHs and consequently fixed number of fungal rDNA ITS sequences. DNA sequences generated by High-throughput or Sanger sequencing studies and identified against UNITE SHs will be automatically assigned to THs as well.
DOI: 10.15156/bio/th004604
title: TH004604
title: Hymenopsis

description: Here we present the novel 'taxon hypothesis' (TH) concept to accommodate fungal 'species hypothesis' (SH) into existing classification frameworks for taxonomic communication. As supplied with Digital Object Identifiers (DOIs), THs are flexible in time and enable direct cross-communication of higher level taxa along with evolving classification schemes. Every TH includes given number of SHs and consequently fixed number of fungal rDNA ITS sequences. DNA sequences generated by High-throughput or Sanger sequencing studies and identified against UNITE SHs will be automatically assigned to THs as well.
DOI: 10.15156/bio/sh1205440.08fu
title: SH1205440.08FU

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: 10.25919/s7sa-ec24
title: Parkes observations for project P1050 semester 2021OCTS_23

description: This is a request for observing time for the timing campaign of new pulsar discoveries from the reprocessing of the low-latitude Galactic plane section of the HTRU survey (P630). We have now completed 90 % of the survey with GPU based coherent acceleration search, template bank and fast folding algorithm pipelines, and now have discovered 92 previously unknown pulsars and 8 "class A" pulsars awaiting confirmation. Interesting science can usually only be derived from a new pulsar after confirmation and a follow-up timing campaign is carried out. One year of initial timing is the minimum timespan required to fully characterise any newly-discovered pulsars, essential for deriving pulsar parameters such as the characteristic age, magnetic field strength, spin-down rate, as well as to detect any unexpected behaviour of the pulsar which might result from emission instabilities. Pulsars on the observing list here have been confirmed in the previous and current 2021APRS semesters, the follow-up timing in OCTS2021 will produce completely new and exciting results. In addition, this timing project will allow us to measure the true Galactic plane pulsar population and the boundaries of pulsar parameter space in the galactic plane.
DOI: 10.25919/ty23-xq72
title: Parkes observations for project P1124 semester 2021OCTS_07

description: The progenitors of Fast Radio Bursts (FRBs) have been highly debated in past decade. The discovery of a bright radio burst from a Galactic magnetar, SGR 1935+2154, implies that some of faint FRBs can originate from normal magnetars. A recent short gamma-ray bursts (GRB 200415A) from a nearby galaxy turned out to be caused by magnetar giant flare. If a fraction of SGRBs and repeating FRBs share similar magnetars as progenitors, we could expect to detect fast radio transients from some suspicious magnetar-driven SGRBs. Here we propose to observe two sources with possible magnetar progenitors, in particular, a total observing time of 32 hours is requested. If detections made, we would confirm the association of progenitors of both FRBs and SGRBs and directly uncover the origin of extragalactic FRBs for at least one population.
DOI: 10.5281/zenodo.6331143
title: Falco berigora decontaminated FSCR

description: .
DOI: 10.5281/zenodo.6331142
title: Falco berigora decontaminated FSCR

description: .
DOI: 10.5281/zenodo.6331165
title: Ecotopia Network

description: Ecotopia Network is an attempt to map the civic society network in Tunisia and the North African region.
DOI: 10.5281/zenodo.6331164
title: Ecotopia Network

description: Ecotopia Network is an attempt to map the civic society network in Tunisia and the North African region.
DOI: 10.5281/zenodo.6331149
title: Cornus kousa decontaminated FSCR

description: .
DOI: 10.5281/zenodo.6331148
title: Cornus kousa decontaminated FSCR

description: .
DOI: 10.5517/ccdc.csd.cc26k3mj
title: CCDC 2042237: Experimental Crystal Structure Determination

description: Related Article: Araceli Aznar, Philippe Negrier, Antoni Planes, Lluís Mañosa, Enric Stern-Taulats, Xavier Moya, María Barrio, Josep-Lluís Tamarit, Pol Lloveras|2021|Applied Materials Today|23|101023|doi:10.1016/j.apmt.2021.101023
DOI: 10.17632/jbrn7scbg8.1
title: Locations of Desert Locust (Schistocerca gregaria) Egg-laying Sites and Associated Soil Parameters (2017-2021)

description: Understanding the thresholds of influencing parameters that favours the habitability of dangerous pests like desert locusts (Schistocerca gregaria) can aid in early detection and eradication using control operations. In this study, we retrieved the preferential soil conditions like sand-silt-clay percentage, sand texture and soil moisture at surface and sub-surface level for egg-laying by desert locust. Towards this, monthly bulletins disseminated by Food and Agriculture Organisation under Locust Watch program were used to identify 172 locations during 2017-2020. Extracted sand-silt-clay percentage at this 172 locations using SoilGrids 2.0 from WoSIS database facilitated by International Soil Reference and Information Centre. Similarly, soil moisture conditions were retrieved at all the sampled locations from Level 4 data products of Soil Moisture Active Passive mission.
DOI: 10.5281/zenodo.6331252
title: Chelictinia riocourii SPAdes preassembly

description: .
DOI: 10.5281/zenodo.6331251
title: Chelictinia riocourii SPAdes preassembly

description: .
DOI: 10.21227/mha5-w252
title: CTMC Analyzing NAFLD Progression (Small Model)

description: I tackle the problem of non-alcoholic fatty liver disease (NAFLD) from the statistical point of view. Using the multistate model, in the form of the continuous time Markov chains, helps the statistical analysis of the progression of the disease over time. The simplest model of the health-disease-death process is applied to the NAFLD. The model is composed of 8 pdfs and 5 rates that need to be estimated. Maximum likelihood and quasi-Newton methods are applied to estimate the transition rates among states. Exponentiation of this estimated rate matrix yields the transition probability matrix. This transition probability matrix can also be estimated from solving the forward Kolmogorov differential equations. Testing time homogeneity of this CTMC that model the disease process is also discussed by the author. This can be achieved by finding an empirical probability matrix that equates the exponentiation of the transition rate matrix, which is thoroughly investigated . Also the embedding problem that may arise when trying to find the transition rate matrix from the transition probability matrix of the corresponding discrete time model is clarified. Testing Markovian property of the chain is also presented. Some remarks are also highlighted as regard the state probability distribution and the stationary probability distribution.
DOI: 10.21227/az1b-x326
title: CTMC Analyzing NAFLD Progression (Small Model)

description: I tackle the problem of non-alcoholic fatty liver disease (NAFLD) from the statistical point of view. Using the multistate model, in the form of the continuous time Markov chains, helps the statistical analysis of the progression of the disease over time. The simplest model of the health-disease-death process is applied to the NAFLD. The model is composed of 8 pdfs and 5 rates that need to be estimated. Maximum likelihood and quasi-Newton methods are applied to estimate the transition rates among states. Exponentiation of this estimated rate matrix yields the transition probability matrix. This transition probability matrix can also be estimated from solving the forward Kolmogorov differential equations. Testing time homogeneity of this CTMC that model the disease process is also discussed by the author. This can be achieved by finding an empirical probability matrix that equates the exponentiation of the transition rate matrix, which is thoroughly investigated . Also the embedding problem that may arise when trying to find the transition rate matrix from the transition probability matrix of the corresponding discrete time model is clarified. Testing Markovian property of the chain is also presented. Some remarks are also highlighted as regard the state probability distribution and the stationary probability distribution.
DOI: 10.21227/0h9c-9283
title: CTMC Analyzing NAFLD Progression (big Model)

description: A global increase in the prevalence of obesity and type 2 diabetes is strongly connected to an increased prevalence of non-alcoholic fatty liver disease (NAFLD) worldwide. In this article, the progression of the NAFLD process is modeled by continuous time Markov chains (CTMCs) with nine states. Maximum likelihood is used to estimate the transition intensities among the states. Once the transition intensities are obtained, the mean sojourn time and its variance are estimated, and the state probability distribution and its asymptotic covariance matrix are also estimated. A hypothetical example based on a longitudinal study assessing patients with NAFLD in various stages is discussed. The mean time to absorption is estimated, and the other abovementioned statistical indices are examined. In this article, the maximum likelihood estimation (MLE) function is utilized in a new approach to compensate for the missing values in the follow-up period of patients evaluated in longitudinal studies. A MATLAB code link is provided, at the end of the article, for the estimation of the transition rate matrix and transition probability matrix.
DOI: 10.15468/dl.r7pfnw
title: Occurrence Download

description: A dataset containing 498 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Trichoderma harzianum Rifai"
 ]
}

 The dataset includes 498 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0280603-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jr0ft5
title: Occurrence Download

description: A dataset containing 1918992 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Museum of Comparative Zoology, Harvard University"
 ]
}

 The dataset includes 1918992 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004571-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tyit4k
title: Occurrence Download

description: A dataset containing 111 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "TaxonKey is Sistrurus miliarius Linnaeus, 1766",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 111 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005412-171002173027117/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6fr4w3
title: Occurrence Download

description: A dataset listing the 121290 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is South America",
 "Country is Brazil",
 "TaxonKey is Plantae"
 ]
}

 The dataset's 121290 records were derived from 612 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053137-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zpandi
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bacteria",
 "DecimalLatitude is greater than 36.1380292278388",
 "DecimalLatitude is less than 36.834520370462",
 "DecimalLongitude is greater than -121.579843117569",
 "DecimalLongitude is less than -120.76835029175"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005412-180824113759888/datasets/export for details.
DOI: 10.15468/dl.kmxyav
title: Occurrence Download

description: A dataset containing 89304 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-14099.0",
 "OccurrenceStatus is Present",
 "TaxonKey is Aizoaceae"
 ]
}

 The dataset includes 89304 records from 260 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0300357-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.msx6yr
title: Occurrence Download

description: A dataset containing 155 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Xiphocolaptes falcirostris (Spix, 1824)"
 ]
}

 The dataset includes 155 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037069-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.