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

description: A dataset containing 791 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Malesherbiaceae"
 ]
}

 The dataset includes 791 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002822-150512124619364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6m8qp9
title: Occurrence Download

description: A dataset containing 21481 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Xantusiidae",
 "Continent is one of (North America, South America)"
 ]
}

 The dataset includes 21481 records from 133 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054275-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fqslx6
title: Occurrence Download

description: A dataset containing 147 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Digitaria thouarsiana (Flüggé) A.Camus"
 ]
}

 The dataset includes 147 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012962-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wwctgz
title: Occurrence Download

description: A dataset containing 175379 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Podocarpaceae"
 ]
}

 The dataset includes 175379 records from 754 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050219-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fmc23n
title: Occurrence Download

description: A dataset containing 69217 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Poa bulbosa L."
 ]
}

 The dataset includes 69217 records from 533 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0108054-210914110416597/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.20521328
title: Additional file 7 of Comprehensive analysis of differentially expressed profiles of mRNA, lncRNA, and miRNA of Yili geese ovary at different egg-laying stages

description: Additional file 7: Table S7-4. Analysis of differential lncRNAs for each egg-laying period.
DOI: 10.48597/qj4z-9yz8
title: Op_DDT at Westerland

description: Measurement of Op_DDT at Westerland
DOI: 10.48597/qm4q-vkee
title: Pp_DDE at Neuglobsow

description: Measurement of Pp_DDE at Neuglobsow
DOI: 10.6084/m9.figshare.12022197
title: Additional file 17 of Metagenomic analysis reveals the microbiome and resistome in migratory birds

description: Additional file 17: Table S9. Detailed information of sequencing depth and antibiotic resistance gene number in 99 samples from bird and its associated environments.
DOI: 10.6084/m9.figshare.20521322
title: Additional file 5 of Comprehensive analysis of differentially expressed profiles of mRNA, lncRNA, and miRNA of Yili geese ovary at different egg-laying stages

description: Additional file 5: Table S5-6. KEGG analysis of the targets for differentially expressed miRNAs in CP vs PP.
DOI: 10.48597/rge8-th6e
title: Fluorene at Kosetice (NAOK)

description: Measurement of Fluorene at Kosetice (NAOK)
DOI: 10.48597/rq4k-9w5e
title: PCB_52 at Schauinsland

description: Measurement of PCB_52 at Schauinsland
DOI: 10.6084/m9.figshare.12022182
title: Additional file 12 of Metagenomic analysis reveals the microbiome and resistome in migratory birds

description: Additional file 12: Table S4. ARGs abundance in 100 samples from different bird species.
DOI: 10.48597/rywr-3xv5
title: PCB_52 at Neuglobsow

description: Measurement of PCB_52 at Neuglobsow
DOI: 10.48597/sg3e-474x
title: Cis_CD at Schauinsland

description: Measurement of Cis_CD at Schauinsland
DOI: 10.48597/stce-b3yw
title: Benzo_a_pyrene at Kosetice (NAOK)

description: Measurement of Benzo_a_pyrene at Kosetice (NAOK)
DOI: 10.48597/tpn9-s3gb
title: Phenanthrene at Schauinsland

description: Measurement of Phenanthrene at Schauinsland
DOI: 10.6084/m9.figshare.20521328.v1
title: Additional file 7 of Comprehensive analysis of differentially expressed profiles of mRNA, lncRNA, and miRNA of Yili geese ovary at different egg-laying stages

description: Additional file 7: Table S7-4. Analysis of differential lncRNAs for each egg-laying period.
DOI: 10.6084/m9.figshare.12022176
title: Additional file 10 of Metagenomic analysis reveals the microbiome and resistome in migratory birds

description: Additional file 10: Table S2. Detailed information of sequencing depth and antibiotic resistance gene number in 100 samples from different bird species.
DOI: 10.6084/m9.figshare.12022179
title: Additional file 11 of Metagenomic analysis reveals the microbiome and resistome in migratory birds

description: Additional file 11: Table S3. Bacterial taxonomic classifications via Metaphlan.
DOI: 10.6084/m9.figshare.12022185
title: Additional file 13 of Metagenomic analysis reveals the microbiome and resistome in migratory birds

description: Additional file 13: Table S5. ARG types present in all bird species.
DOI: 10.6084/m9.figshare.12022224
title: Additional file 9 of Metagenomic analysis reveals the microbiome and resistome in migratory birds

description: Additional file 9: Table S1. The detailed information of sample collection.
DOI: 10.6084/m9.figshare.12022224.v1
title: Additional file 9 of Metagenomic analysis reveals the microbiome and resistome in migratory birds

description: Additional file 9: Table S1. The detailed information of sample collection.
DOI: 10.6084/m9.figshare.12022185.v1
title: Additional file 13 of Metagenomic analysis reveals the microbiome and resistome in migratory birds

description: Additional file 13: Table S5. ARG types present in all bird species.
DOI: 10.6084/m9.figshare.7827965.v1
title: Multiclass Probability Estimation with Support Vector Machines

description: Multiclass classification and probability estimation have important applications in data analytics. Support vector machines (SVMs) have shown great success in various real-world problems due to their high classification accuracy (Burges, 1998; Cristianini and Shawe-Taylor, 2000; Zhu et al., 2004). However, one main limitation of standard SVMs is that they do not provide class probability estimates, and thus fail to offer uncertainty measure about class prediction. In this paper, we propose a simple yet effective framework to endow kernel SVMs with the feature of multiclass probability estimation. The new probability estimator does not rely on any parametric assumption on the data distribution, therefore it is flexible and robust. Theoretically, we show that the proposed estimator is asymptotically consistent. Computationally, the new procedure can be conveniently implemented using standard SVM softwares. Our extensive numerical studies demonstrate competitive performance of the new estimator when compared with existing methods such as multiple logistic regression, linear discrimination analysis (LDA), tree-based methods, and random forest (RF), under various classification settings.
DOI: 10.6084/m9.figshare.7827965
title: Multiclass Probability Estimation With Support Vector Machines

description: Multiclass classification and probability estimation have important applications in data analytics. Support vector machines (SVMs) have shown great success in various real-world problems due to their high classification accuracy. However, one main limitation of standard SVMs is that they do not provide class probability estimates, and thus fail to offer uncertainty measure about class prediction. In this article, we propose a simple yet effective framework to endow kernel SVMs with the feature of multiclass probability estimation. The new probability estimator does not rely on any parametric assumption on the data distribution, therefore, it is flexible and robust. Theoretically, we show that the proposed estimator is asymptotically consistent. Computationally, the new procedure can be conveniently implemented using standard SVM softwares. Our extensive numerical studies demonstrate competitive performance of the new estimator when compared with existing methods such as multiple logistic regression, linear discrimination analysis, tree-based methods, and random forest, under various classification settings. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.12022188
title: Additional file 14 of Metagenomic analysis reveals the microbiome and resistome in migratory birds

description: Additional file 14: Table S6. The 10 most abundant ARG types present in each bird species.
DOI: 10.6084/m9.figshare.12022188.v1
title: Additional file 14 of Metagenomic analysis reveals the microbiome and resistome in migratory birds

description: Additional file 14: Table S6. The 10 most abundant ARG types present in each bird species.
DOI: 10.6084/m9.figshare.12022191
title: Additional file 15 of Metagenomic analysis reveals the microbiome and resistome in migratory birds

description: Additional file 15: Table S7. Network properties on co-occurrence patterns of ARG types in bird populations.
DOI: 10.6084/m9.figshare.12022191.v1
title: Additional file 15 of Metagenomic analysis reveals the microbiome and resistome in migratory birds

description: Additional file 15: Table S7. Network properties on co-occurrence patterns of ARG types in bird populations.
DOI: 10.6084/m9.figshare.12022092
title: Additional file 2 of Identification of Novel QTL Conferring Sheath Blight Resistance in Two Weedy Rice Mapping Populations

description: Additional file 2: Table S2. Phenotyping data for the B population including ShB susceptibility in 2015 and 2016, PH in 2012, and HD in 2012. (CSV 4 kb)
DOI: 10.6084/m9.figshare.12022092.v1
title: Additional file 2 of Identification of Novel QTL Conferring Sheath Blight Resistance in Two Weedy Rice Mapping Populations

description: Additional file 2: Table S2. Phenotyping data for the B population including ShB susceptibility in 2015 and 2016, PH in 2012, and HD in 2012. (CSV 4 kb)
DOI: 10.6084/m9.figshare.12022122.v1
title: Additional file 6 of Identification of Novel QTL Conferring Sheath Blight Resistance in Two Weedy Rice Mapping Populations

description: Additional file 6: Table S6. Genotyping data of RILs in the S population generated using genotyping-by-sequencing in the F5 generation. (CSV 1736 kb)
DOI: 10.6084/m9.figshare.7827965.v2
title: Multiclass Probability Estimation With Support Vector Machines

description: Multiclass classification and probability estimation have important applications in data analytics. Support vector machines (SVMs) have shown great success in various real-world problems due to their high classification accuracy. However, one main limitation of standard SVMs is that they do not provide class probability estimates, and thus fail to offer uncertainty measure about class prediction. In this article, we propose a simple yet effective framework to endow kernel SVMs with the feature of multiclass probability estimation. The new probability estimator does not rely on any parametric assumption on the data distribution, therefore, it is flexible and robust. Theoretically, we show that the proposed estimator is asymptotically consistent. Computationally, the new procedure can be conveniently implemented using standard SVM softwares. Our extensive numerical studies demonstrate competitive performance of the new estimator when compared with existing methods such as multiple logistic regression, linear discrimination analysis, tree-based methods, and random forest, under various classification settings. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.12022077.v1
title: Additional file 1 of Transcriptomic profiling of Solanum peruvianum LA3858 revealed a Mi-3-mediated hypersensitive response to Meloidogyne incognita

description: Additional file 1 Disease resistance statistics of LA3858 and Moneymaker infected with M. incognita after treatment with different soil temperatures.
DOI: 10.6084/m9.figshare.12022083.v1
title: Additional file 2 of Transcriptomic profiling of Solanum peruvianum LA3858 revealed a Mi-3-mediated hypersensitive response to Meloidogyne incognita

description: Additional file 2. List of hub genes filtered from darkorange and pink modules by WGCNA.
DOI: 10.6084/m9.figshare.12022089
title: Additional file 3 of Transcriptomic profiling of Solanum peruvianum LA3858 revealed a Mi-3-mediated hypersensitive response to Meloidogyne incognita

description: Additional file 3. List of transcription factors significantly enriched in the 34 °C vs. 25 °C comparison at 0 (before inoculation), 3 and 6 dpi.
DOI: 10.6084/m9.figshare.12022089.v1
title: Additional file 3 of Transcriptomic profiling of Solanum peruvianum LA3858 revealed a Mi-3-mediated hypersensitive response to Meloidogyne incognita

description: Additional file 3. List of transcription factors significantly enriched in the 34 °C vs. 25 °C comparison at 0 (before inoculation), 3 and 6 dpi.
DOI: 10.6084/m9.figshare.12022077
title: Additional file 1 of Transcriptomic profiling of Solanum peruvianum LA3858 revealed a Mi-3-mediated hypersensitive response to Meloidogyne incognita

description: Additional file 1 Disease resistance statistics of LA3858 and Moneymaker infected with M. incognita after treatment with different soil temperatures.
DOI: 10.6084/m9.figshare.9925067.v2
title: Metadata record for: A spatio-temporal continuous soil moisture dataset over the Tibet Plateau from 2002 to 2015

description: This dataset contains key characteristics about the data described in the Data Descriptor A spatio-temporal continuous soil moisture dataset over the Tibet Plateau from 2002 to 2015. <br>
 Contents: <br>
 
 1. human readable metadata summary table in CSV format
 
 
 2. machine readable metadata file in JSON format 
 <br> <b><br>

 </b>Versioning Note:Version 2 was generated when the metadata format was updated from JSON to JSON-LD. This was an automatic process that changed only the format, not the contents, of the metadata.<br>
DOI: 10.6084/m9.figshare.12022095.v1
title: Additional file 4 of Transcriptomic profiling of Solanum peruvianum LA3858 revealed a Mi-3-mediated hypersensitive response to Meloidogyne incognita

description: Additional file 4. List of qRT-PCR primers used in this study.
DOI: 10.6084/m9.figshare.12022101.v1
title: Additional file 5 of Transcriptomic profiling of Solanum peruvianum LA3858 revealed a Mi-3-mediated hypersensitive response to Meloidogyne incognita

description: Additional file 5. Verification of the correlation results between the RNA-seq and qRT-PCR data
DOI: 10.6084/m9.figshare.12022083
title: Additional file 2 of Transcriptomic profiling of Solanum peruvianum LA3858 revealed a Mi-3-mediated hypersensitive response to Meloidogyne incognita

description: Additional file 2. List of hub genes filtered from darkorange and pink modules by WGCNA.
DOI: 10.6084/m9.figshare.12022101
title: Additional file 5 of Transcriptomic profiling of Solanum peruvianum LA3858 revealed a Mi-3-mediated hypersensitive response to Meloidogyne incognita

description: Additional file 5. Verification of the correlation results between the RNA-seq and qRT-PCR data
DOI: 10.6084/m9.figshare.12022095
title: Additional file 4 of Transcriptomic profiling of Solanum peruvianum LA3858 revealed a Mi-3-mediated hypersensitive response to Meloidogyne incognita

description: Additional file 4. List of qRT-PCR primers used in this study.
DOI: 10.6084/m9.figshare.12022098
title: Additional file 3 of Identification of Novel QTL Conferring Sheath Blight Resistance in Two Weedy Rice Mapping Populations

description: Additional file 3: Table S3. Phenotyping data for the S population including ShB susceptibility in 2015 and 2016, PH in 2012, and HD in 2012. (CSV 3 kb)
DOI: 10.6084/m9.figshare.12022104
title: Additional file 4 of Identification of Novel QTL Conferring Sheath Blight Resistance in Two Weedy Rice Mapping Populations

description: Additional file 4: Table S4. The genotypes of the top 10% most resistant RILs in the 2015 season at each of our putative QTL.
DOI: 10.5281/zenodo.10729603
title: ShudyCamps_DigitisedGraves

description: A geopackage containing digitised grave data from Shudy Camps Cemetery, as recorded by Thomas C. Lethbridge in 1933 (https://archaeologydataservice.ac.uk/library/browse/issue.xhtml?recordId=1160914&recordType=MonographSeries).
DOI: 10.5281/zenodo.10729604
title: ShudyCamps_DigitisedGraves

description: A geopackage containing digitised grave data from Shudy Camps Cemetery, as recorded by Thomas C. Lethbridge in 1933 (https://archaeologydataservice.ac.uk/library/browse/issue.xhtml?recordId=1160914&recordType=MonographSeries).
DOI: 10.6084/m9.figshare.12022104.v1
title: Additional file 4 of Identification of Novel QTL Conferring Sheath Blight Resistance in Two Weedy Rice Mapping Populations

description: Additional file 4: Table S4. The genotypes of the top 10% most resistant RILs in the 2015 season at each of our putative QTL.
DOI: 10.6084/m9.figshare.12022113.v1
title: Additional file 5 of Identification of Novel QTL Conferring Sheath Blight Resistance in Two Weedy Rice Mapping Populations

description: Additional file 5: Table S5. Genotyping data of RILs in the B population generated using genotyping-by-sequencing in the F5 generation. (CSV 5483 kb)
DOI: 10.6084/m9.figshare.7828163
title: A new leaf blight disease of turfgrasses caused by <i>Microdochium poae</i>, sp. nov.

description: A novel species of <i>Microdochium</i> was identified as the causal agent of a leaf blight of <i>Poa pratensis</i> (Kentucky blue grass) and <i>Agrostis stolonifera</i> (Creeping bentgrasses), two cold-season turfgrasses widely grown on golf courses in northern China. This disease first appears as small, water-soaked, and scattered leaf spots. Under conditions of high temperatures and successive days of rain, the infected leaves rapidly lose their integrity and large diseased patches appear. Fungal strains were isolated from blighted leaf spots. A phylogenetic analysis based on the nuc rDNA internal transcribed spacer regions and 5.8S rRNA gene (ITS1-5.8S-ITS2 = ITS) and parts of the β-tubulin (<i>TUB2</i>) and RNA polymerase II second largest subunit (<i>RPB2</i>) genes strongly supported that these isolates are a distinct evolutionary lineage in <i>Microdochium</i> (Microdochiaceae, Xylariales) that represents a new taxonomic species, herein named as <i>M. poae</i>. Microscopic characters confirmed that these strains were morphologically distinct from known <i>Microdochium</i> species. The pathogenicity of <i>M. poae</i> was confirmed by inoculating spore suspension on both grasses and reisolation of the pathogen from symptomatic tissues. The optimal growth temperature suggests that the occurrence of the new leaf blight disease caused by <i>M. poae</i> was significantly different from the microdochium patch disease caused by <i>M. nivale</i>.
DOI: 10.48597/trqu-ndsf
title: Beta_HCH at Westerland

description: Measurement of Beta_HCH at Westerland
DOI: 10.48597/tuv5-gtwz
title: Gamma_HCH at Neuglobsow

description: Measurement of Gamma_HCH at Neuglobsow
DOI: 10.48597/tvkw-tmsr
title: Trans_CD at Schauinsland

description: Measurement of Trans_CD at Schauinsland
DOI: 10.48597/u5fk-txcz
title: Cis_CD at Westerland

description: Measurement of Cis_CD at Westerland
DOI: 10.48597/u9sr-v5m4
title: Gamma_HCH at Westerland

description: Measurement of Gamma_HCH at Westerland
DOI: 10.48597/v8t8-cvk7
title: Pp_DDT at Kosetice (NAOK)

description: Measurement of Pp_DDT at Kosetice (NAOK)
DOI: 10.48597/w8ft-e52w
title: Benzo_a_pyrene at Neuglobsow

description: Measurement of Benzo_a_pyrene at Neuglobsow
DOI: 10.48597/wazv-u4rv
title: Fluorene at Westerland

description: Measurement of Fluorene at Westerland
DOI: 10.48597/wnhf-gb2t
title: PCB_180 at Westerland

description: Measurement of PCB_180 at Westerland
DOI: 10.48597/wnrp-qzjg
title: Cis_NO at Neuglobsow

description: Measurement of Cis_NO at Neuglobsow
DOI: 10.48597/wpnj-jggb
title: Alpha_HCH at Neuglobsow

description: Measurement of Alpha_HCH at Neuglobsow
DOI: 10.48597/ww2g-rat5
title: Beta_HCH at Schauinsland

description: Measurement of Beta_HCH at Schauinsland
DOI: 10.48597/ww3t-9mxr
title: Trans_CD at Kosetice (NAOK)

description: Measurement of Trans_CD at Kosetice (NAOK)
DOI: 10.15468/dl.fbzn9l
title: Occurrence Download

description: A dataset containing 2114 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cheilanthes maderensis Lowe"
 ]
}

 The dataset includes 2114 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006679-170714134226665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v3v6u9
title: Occurrence Download

description: A dataset containing 7263 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "TaxonKey is one of (Cedrela odorata L.)"
 ]
}

 The dataset includes 7263 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113846-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sb3bt4
title: Occurrence Download

description: A dataset containing 43367 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cardinalis cardinalis (Linnaeus, 1758)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "EventDate 2020-01-01-2023-12-31",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON ((-78.27601 39.12897, -77.33202 39.12897, -77.33202 39.84687, -78.27601 39.84687, -78.27601 39.12897))"
 ]
}

 The dataset includes 43367 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020185-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vzgwqo
title: Occurrence Download

description: A dataset containing 226365 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Meliaceae"
 ]
}

 The dataset includes 226365 records from 666 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006679-170826194755519/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.34bap5
title: Occurrence Download

description: A dataset containing 317 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ruprechtia pallida Standl."
 ]
}

 The dataset includes 317 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020238-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sjcx4d
title: Occurrence Download

description: A dataset containing 1986 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bubalus bubalis (Linnaeus, 1758)"
 ]
}

 The dataset includes 1986 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000535-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.