cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.fvf8gn
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oscularia superans (L.Bolus) H.E.K.Hartmann"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003891-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dq8xat
title: Occurrence Download

description: A dataset containing 1124496 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Spondias mombin L., Spondias lutea Engl., Spondias lutea L., Spondias lutea Macfad., Anacardiaceae, Spondias mambin L., Spondias mombin var. globosa J.D.Mitch. & Daly, Spondias mombin Jacq., Spondias mombin var. mombin)"
 ]
}

 The dataset includes 1124496 records from 2310 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0233392-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hsv3gs
title: Occurrence Download

description: A dataset containing 1875581 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lamium L."
 ]
}

 The dataset includes 1875581 records from 3953 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017913-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/ht7ycz
title: New genus and new combination of Deltocephalinae (Insecta: Hemiptera: Cicadellidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Camisão, Beatriz M., Dietrich, Christopher H. (2022): New genus and new combination of Deltocephalinae (Insecta: Hemiptera: Cicadellidae). Zootaxa 5200 (4): 391-395, DOI: 10.11646/zootaxa.5200.4.7AbstractBased on study of the holotype of Scaphytopius (Tumeus) rubidus DeLong, 1980, it was determined that this species does not belong in any genus of the subfamily Deltocephalinae described so far. To accommodate this species, we describe and illustrate a new genus in the tribe Bahitini, Anavilhanas gen. nov., and propose the new combination, Anavilhanas rubida (DeLong) comb. nov.
DOI: 10.15468/dl.9znrvd
title: Occurrence Download

description: A dataset containing 854990 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Erinaceidae"
 ]
}

 The dataset includes 854990 records from 2258 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064727-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1285/i20705948v17n2p382
title: Relationships between Smoking Rate and COVID-19 Death Rate when Both Variables are Subject to Errors: Arab World Case Study

description: While there is a growing body of research on the relationship between smoking and COVID-19 outcomes, there is a lack of comprehensive studies focusing specifically on the Arab world. Understanding the potential impact of smoking on COVID-19 death rates in this region is crucial for informing public health interventions and policies. This article discusses the relationship between the smoking rate and the COVID-19 death rate in the Arab world. The data was gathered from the World Health Organization (WHO) records. The measurement error model (MEM) is used to study the relationship between smoking rate and COVID-19, considering the errors in both variables. Different estimation methods including the maximum likelihood estimation (MLE), Wald-type methods, and repeated median estimation methods, were used to fit the MEM model to the data. The results showed that Jordan and Lebanon, respectively, had the highest smoking rates while Yemen, Egypt, and Algeria, respectively, had the highest COVID-19 death within the Arab countries. Fitting the data to MEM, the data analysis showed that Smoking has a positive effect on COVID-19.
DOI: 10.15468/dl.xeshm8
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Heliotropium keralense Sivar. & Manilal"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010493-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gqzjzm
title: Occurrence Download

description: A dataset containing 143358 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ondatra zibethicus (Linnaeus, 1766)",
 "DatasetKey is one of (VMM - Rat control occurrences in Flanders, Belgium, Muskrat captures in Flanders, Belgium, MICA - Muskrat occurrences collected by RATO in East Flanders, Belgium, MICA - Muskrat occurrences collected by VMM in Flanders, Belgium, RATO - daily operations commissioned by the province East Flanders, Belgium)"
 ]
}

 The dataset includes 143358 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010436-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1285/i20705948v17n2p392
title: Economic Trend Free Blocked Full 2^k Factorial Experiments

description: This article considers blocking full 2k factorial experiments one-blockat-a-time into {1,2,4,8,...2k−1} blocks such that all factor main effects (A1, A2, A3, . . . Ak) are resistant to the polynomial time trend, which might be present in the sequentially generated responses while keeping blocking factors confounded with negligible high order interactions. Cost of factor level changes between successive runs within blocks is also minimized. For each blocked 2k design we provide the following: (i) the independent blocking factors as negligible high order interactions (ii) the number of factor level changes (i.e., cost) in each block and the total cost of factor level changes in all blocks and (iii) the k independent Generalized Foldover run generators to sequence all 2k runs of the full 2k factorial experiment within each block one-run-at-a-time, where (k − i) generators are within blocks generators while i are between blocks generators (i = 0, 1, 2, . . . k − 1), where i = 0 for no blocking, i = 1 for blocking into 2 blocks, i = 2 for blocking into 4 blocks, . . . i = (k − 1) for blocking into 2k−1 blocks. Proposed general blocking results have been derived inductively using extensive computer work on blocking trend free full 2k factorial experiments for k = 4, 5, 6, . . . 15 factors. Keywords: Systematic factorial experiments, Generalized Foldover Scheme for runs sequencing, Cost of factor level changes, Factors' time trend resistance, Blocking factors and their confounding structure.
DOI: 10.1285/i20705948v17n2p413
title: Musculoskeletal Health Problems Among Kuwaiti Fishermen: What Do Statistics Say?

description: Fishing is a physically and mentally demanding profession, often characterized by challenging working conditions. This study aims to assess the prevalence of musculoskeletal pain among Kuwaiti fishermen and identify the contributing factors, focusing on spine injuries. Using a cross-sectional survey approach and the Whole-Body Vibration Questionnaire, we collected data from a random sample of Kuwaiti fishermen. The statistical analysis examined various aspects of musculoskeletal pain, including lower back, neck, and shoulder pain. The study yields valuable insights and recommendations to address Kuwaiti fishermen's health problems.
DOI: 10.5281/zenodo.14099174
title: INTERFERENCE PROBLEMS IN LINGUISTICS
DOI: 10.5281/zenodo.14099175
title: INTERFERENCE PROBLEMS IN LINGUISTICS
DOI: 10.1285/i20705948v17n2p436
title: Kibria-Lukman Hybrid Estimator for the Conway–Maxwell–Poisson Regression Model

description: The Conway-Maxwell-Poisson regression (CMPR) model provides a flexible framework for analyzing count data in cases of overand under-dispersion. Estimating the parameter in CMPR typically relies on the maximum likelihood estimator (MLE), which can be challenging, mainly when multicollinearity exists. In such cases, many estimators offer alternatives to MLE, but often with a more considerable bias. This paper introduces a new hybrid estimator, combining the modified ridge-type estimator's robustness with the KibriaLukman estimator's efficiency, named the Kibria-Lukman hybrid estimator (KLHE). We propose that KLHE address multicollinearity in CMPR, demonstrating its performance through Monte Carlo simulations. The effectiveness of KLHE is highlighted by its ability to handle multicollinearity, resulting in improved estimation accuracy compared to other estimators. We illustrate the practical application of KLHE using a real dataset, demonstrating its potential to enhance parameter estimation in CMPR models, particularly in settings with prevalent multicollinearity. KLHE is a valuable addition to the statistical toolkit, providing researchers with a robust and efficient means to address multicollinearity in CMPR modeling.
DOI: 10.15468/dl.pbq4sn
title: Occurrence Download

description: A dataset containing 298 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rotula aquatica Lour."
 ]
}

 The dataset includes 298 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010495-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ugtsmr
title: Occurrence Download

description: A dataset containing 22318 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Centella asiatica (L.) Urb."
 ]
}

 The dataset includes 22318 records from 507 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010496-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rgjjr2
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Wasmannia auropunctata (Roger, 1863)",
 "Country is French Polynesia",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010497-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.87hgq2
title: Occurrence Download

description: A dataset containing 6271 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pradosia Liais"
 ]
}

 The dataset includes 6271 records from 257 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010498-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ds9vz2
title: Occurrence Download

description: A dataset containing 348 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pinus rzedowskii Madrigal & M.Caball."
 ]
}

 The dataset includes 348 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010499-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jqpbyg
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "OccurrenceStatus is Present",
 "TaxonKey is Leontopithecus chrysopygus (Mikan, 1823)"
 ]
}

 The dataset includes 44 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010500-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uhhjym
title: Occurrence Download

description: A dataset containing 152 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Paradoxornis heudei David, 1872",
 "Year 1970-2024"
 ]
}

 The dataset includes 152 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010501-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wwaunx
title: Occurrence Download

description: A dataset containing 890 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Burmannia coelestis D.Don"
 ]
}

 The dataset includes 890 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010502-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jw8k8q
title: Occurrence Download

description: A dataset containing 1334 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Burmannia disticha L."
 ]
}

 The dataset includes 1334 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010504-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f9mmvp
title: Occurrence Download

description: A dataset containing 60930 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cicuta virosa L."
 ]
}

 The dataset includes 60930 records from 524 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010503-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.haqjfj
title: Occurrence Download

description: A dataset containing 9841 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pinus sibirica Du Tour"
 ]
}

 The dataset includes 9841 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010505-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14098244
title: Long Cycle-Life Ca Batteries with Poly(anthraquinonylsulfide) Cathodes and Ca-Sn Alloy Anodes

description: This is a collection featuring the data generated and used within the paper: "Long Cycle-Life Ca Batteries with Poly(anthraquinonylsulfide) Cathodes and Ca-Sn Alloy Anodes"
DOI: 10.5281/zenodo.14098245
title: Long Cycle-Life Ca Batteries with Poly(anthraquinonylsulfide) Cathodes and Ca-Sn Alloy Anodes

description: This is a collection featuring the data generated and used within the paper: "Long Cycle-Life Ca Batteries with Poly(anthraquinonylsulfide) Cathodes and Ca-Sn Alloy Anodes"
DOI: 10.15468/dl.crt43y
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Prockia pentamera A.H.Gentry"
 ]
}

 The dataset includes 69 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010507-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7tfryw
title: Occurrence Download

description: A dataset containing 1347 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Xenopus laevis (Daudin, 1802)",
 "Country is France",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 1347 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010510-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0182353.10fu
title: SH0182353.10FU

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/sh0182354.10fu
title: SH0182354.10FU

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/sh0182355.10fu
title: SH0182355.10FU

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/sh0182356.10fu
title: SH0182356.10FU

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/sh0182357.10fu
title: SH0182357.10FU

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/sh0182358.10fu
title: SH0182358.10FU

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.