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

description: A dataset containing 1393 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Orthosiphon aristatus (Blume) Miq."
 ]
}

 The dataset includes 1393 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007558-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cz6gdn
title: Occurrence Download

description: A dataset containing 8169 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Jumellea Schltr."
 ]
}

 The dataset includes 8169 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007556-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15308885
title: Data matrix derived from clinical samples for modified risk prediction in HBV-associated follicular lymphoma

description: Hepatitis B virus (HBV) infection, defined as surface antigen positivity (HBsAg+), has been demonstrated to be closely linked with increased incidence risk and poor prognosis of B-cell lymphoma.  To address clinical demands, we developed a novel prognostic scoring system integrating HBV-related factors and immune-regulatory biomarkers, which shows enhanced reliability in identifying high-risk patients compared to the conventional FLIPI (Follicular Lymphoma International Prognostic Index).  This dataset corresponds to the clinical sample data matrix associated with the study.
DOI: 10.5281/zenodo.15308886
title: Data matrix derived from clinical samples for modified risk prediction in HBV-associated follicular lymphoma

description: Hepatitis B virus (HBV) infection, defined as surface antigen positivity (HBsAg+), has been demonstrated to be closely linked with increased incidence risk and poor prognosis of B-cell lymphoma.  To address clinical demands, we developed a novel prognostic scoring system integrating HBV-related factors and immune-regulatory biomarkers, which shows enhanced reliability in identifying high-risk patients compared to the conventional FLIPI (Follicular Lymphoma International Prognostic Index).  This dataset corresponds to the clinical sample data matrix associated with the study.
DOI: 10.15468/dl.4qqtx7
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Iran (Islamic Republic of)",
 "TaxonKey is Gazella bennettii (Sykes, 1831)"
 ]
}

 The dataset includes 53 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007562-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wrvpt8
title: Occurrence Download

description: A dataset containing 5323 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Paphiopedilum Pfitzer"
 ]
}

 The dataset includes 5323 records from 132 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007563-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mrmeuk
title: Occurrence Download

description: A dataset containing 1247989 records in GBIF matching the query:
SELECT PRINTF('%04d-%02d', "year", "month") AS yearMonth, GBIF_EEARGCode(10000, decimalLatitude, decimalLongitude, COALESCE(coordinateUncertaintyInMeters, 10000)) AS eeaCellCode, basisOfRecord, datasetKey, countryCode, speciesKey, species, family, class, COUNT(*) AS occurrences FROM occurrence WHERE occurrenceStatus = 'PRESENT' AND continent = 'EUROPE' AND speciesKey IN (2978552, 2489005, 3190653, 2498252, 3084923, 2340977, 2706080, 2502792, 3170247, 2440934, 3129663, 2882443, 2437394, 2437399, 3189935, 5828232, 4284921, 2704521, 2482499, 2702865, 5329212, 2225776, 8909595, 8979506, 8971201, 5712056, 2350580, 2350570, 2984306, 6063677, 7287606, 3034825, 3628745, 3642949, 2984537, 7978544, 2891770, 8848208, 2865565, 9799308, 2394486, 8114276, 5855350, 2427091, 5421039, 5420991, 2650436, 2869311, 5289808, 2394604, 2440946, 4264680, 5361785, 5361762, 2433536, 5358460, 2434552, 5219858, 2498305, 2226990, 3086784, 2390064, 4033648, 2870583, 7965247, 2765942, 2227300, 9442269, 5218786, 2362868, 2977647, 2486131, 5824863, 5274863, 5219681, 5219683, 5035187, 5035230, 5035017, 2437450, 2480764, 2443002, 3054399, 6164088, 6247411, 1315391, 5217334) AND hasCoordinate = TRUE AND (coordinateUncertaintyInMeters &lt;= 10000 OR coordinateUncertaintyInMeters IS NULL) AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE') AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE') AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID') AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH') AND "month" IS NOT NULL GROUP BY yearMonth, eeaCellCode, basisOfRecord, datasetKey, countryCode, speciesKey, species, family, class ORDER BY yearMonth DESC, eeaCellCode ASC, countryCode ASC

 The dataset's 1247989 records were derived from 4442 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007544-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.atbgjd
title: Occurrence Download

description: A dataset containing 6180 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Camassia quamash (Pursh) Greene)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6180 records from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093324-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hzsxwt
title: Occurrence Download

description: A dataset containing 352 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-103.03672 42.23895,-109.20136 40.73685,-110.76109 37.30465,-108.97854 34.93514,-102.62822 35.81326,-98.95171 38.96944,-100.54858 41.21348,-103.03672 42.23895))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Hybognathus hankinsoni Hubbs, 1929"
 ]
}

 The dataset includes 352 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093326-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wne4ys
title: Occurrence Download

description: A dataset containing 1586 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is one of (North America, South America)",
 "DatasetKey is one of (NY herbarium - The New York Botanical Garden - Amostras Brasileiras Repatriadas - Herbário Virtual REFLORA, Geneva Herbarium – General Collection (G), The New York Botanical Garden Herbarium (NY), Field Museum of Natural History (Botany) Seed Plant Collection, Tropicos Specimens Non-MO, Tropicos MO Specimen Data)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Amphilophium paniculatum (L.) Kunth"
 ]
}

 The dataset includes 1586 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093329-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vag2az
title: Occurrence Download

description: A dataset containing 4147 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Camassia scilloides (Raf.) Cory)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4147 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093328-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zk4kpp
title: Occurrence Download

description: A dataset containing 22293 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cerastium arvense subsp. arvense)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 22293 records from 171 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093327-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v99pkf
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Brachycephalus toby Haddad, Alves, Clemente-Carvalho & Reis, 2010"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093330-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5jzd86
title: Occurrence Download

description: A dataset containing 2661 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-89.81525 33.94888,-75.08244 33.94888,-75.08244 46.93524,-89.81525 46.93524,-89.81525 33.94888))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Castilleja L.f."
 ]
}

 The dataset includes 2661 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093332-240506114902167/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.26098738
title: <b>PREDICTING READING COMPREHENSION ACHIEVEMENT EMPLOYING ARTIFICIAL NEURAL NETWORKS</b>

description: In this paper, the researchers used artificial neural networks to predict reading comprehension achievement, which is considered a crucial predictor of school success. The study involved 702 fourth-grade primary school students, consisting of 345 males and 357 females. A feed-forward backpropagation neural network was employed to forecast the students' reading comprehension skills, a complex ability encompassing various cognitive skills. Additionally, the researchers compared different classification methods. Hypothesis tests indicated that some variables showed statistically significant differences, while others did not. Based on the findings, the researchers drew several conclusions and made recommendations.
DOI: 10.6084/m9.figshare.26098738.v2
title: <b>PREDICTING READING COMPREHENSION ACHIEVEMENT EMPLOYING ARTIFICIAL NEURAL NETWORKS</b>

description: In this paper, the researchers used artificial neural networks to predict reading comprehension achievement, which is considered a crucial predictor of school success. The study involved 702 fourth-grade primary school students, consisting of 345 males and 357 females. A feed-forward backpropagation neural network was employed to forecast the students' reading comprehension skills, a complex ability encompassing various cognitive skills. Additionally, the researchers compared different classification methods. Hypothesis tests indicated that some variables showed statistically significant differences, while others did not. Based on the findings, the researchers drew several conclusions and made recommendations.
DOI: 10.6084/m9.figshare.26098738.v1
title: <b>YAPAY SİNİR AĞLARINI KULLANARAK OKUDUĞUNU ANLAMA BAŞARISINI TAHMİN ETMEK</b>

description: Bu yazıda araştırmacılar, okul başarısının çok önemli bir göstergesi olarak kabul edilen okuduğunu anlama başarısını tahmin etmek için yapay sinir ağlarını kullandılar. Araştırmaya 345 erkek ve 357 kız olmak üzere toplam 702 ilkokul dördüncü sınıf öğrencisi katılmıştır. Öğrencilerin çeşitli bilişsel becerileri kapsayan karmaşık bir yetenek olan okuduğunu anlama becerilerini tahmin etmek için ileri beslemeli bir geri yayılım sinir ağı kullanıldı. Ek olarak, araştırmacılar farklı sınıflandırma yöntemlerini karşılaştırdılar. Hipotez testleri, bazı değişkenlerin istatistiksel olarak anlamlı farklılıklar gösterdiğini, bazılarının ise göstermediğini göstermiştir. Bulgulara dayanarak, araştırmacılar birkaç sonuç çıkardılar ve önerilerde bulundular.
DOI: 10.15468/dl.u47gmr
title: Occurrence Download

description: A dataset containing 6323 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Canadian National Collection of Insects"
 ]
}

 The dataset includes 6323 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093334-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12534249
title: Intrcellular microbiome_count
DOI: 10.5281/zenodo.12534248
title: GSE_count
DOI: 10.5281/zenodo.12534432
title: GSE_count
DOI: 10.14469/hpc/11530
title: NMR Data for Bis(ethanol) bis(4-benzoyl-1-(4-methoxybenzyl)-1H-pyrazol-5-olate)magnesium (17), 1H

description: Primary NMR data for Compound 17.
DOI: 10.14469/hpc/11531
title: NMR Data for Bis(ethanol) bis(4-benzoyl-1-(4-methoxybenzyl)-1H-pyrazol-5-olate)magnesium (17), 13C

description: Primary NMR data for Compound 17
DOI: 10.14469/hpc/11532
title: NMR Data for Bis(ethanol) bis(4-benzoyl-1-(4-methoxybenzyl)-1H-pyrazol-5-olate)magnesium (17), 1H, COSY

description: Primary NMR data for Compound 17.
DOI: 10.14469/hpc/11533
title: NMR Data for Bis(ethanol) bis(4-benzoyl-1-(4-methoxybenzyl)-1H-pyrazol-5-olate)magnesium (17). 1H, 13C, HSQC

description: Primary NMR data for Compound 17.
DOI: 10.14469/hpc/11534
title: NMR Data for Bis(ethanol) bis(4-benzoyl-1-(4-methoxybenzyl)-1H-pyrazol-5-olate)magnesium (17), 1H, 13C, HMBC

description: Primary NMR data for Compound 17.
DOI: 10.15468/dl.h7vepu
title: Occurrence Download

description: A dataset containing 7310 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinus patula Schiede ex Schltdl. & Cham."
 ]
}

 The dataset includes 7310 records from 239 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093335-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vybhc2
title: Occurrence Download

description: A dataset containing 36644 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Polygonum aviculare subsp. aviculare)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 36644 records from 409 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093333-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12533090
title: TS003 Daily Mean Surface KE
DOI: 10.5281/zenodo.12533091
title: TS003 Daily Mean Surface KE
DOI: 10.15468/dl.b26v4p
title: Occurrence Download

description: A dataset containing 471 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Royal Ontario Museum - Entomology Collection",
 "EventId is iis000890014"
 ]
}

 The dataset includes 471 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093337-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xa4wnf
title: Occurrence Download

description: A dataset containing 111722365 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 111722365 records from 8195 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093325-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1376093.10fu
title: SH1376093.10FU

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/sh1376097.10fu
title: SH1376097.10FU

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/sh1376098.10fu
title: SH1376098.10FU

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/sh1376099.10fu
title: SH1376099.10FU

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/sh1376100.10fu
title: SH1376100.10FU

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/sh1376103.10fu
title: SH1376103.10FU

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.