cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13010651.v1
title: Additional file 10 of Genome-wide analysis of the WRKY gene family in the cucumber genome and transcriptome-wide identification of WRKY transcription factors that respond to biotic and abiotic stresses

description: Additional file 10: Table S8. RNA-seq data (FPKM values) of CsWRKY genes under salt/heat treatment/powdery mildew /downy mildew infection.
DOI: 10.5281/zenodo.8268424
title: Quantitative interpretation of the physical processes associated with the interannual variation of South Asian summer monsoon

description: This is the CFRAM-A data of "Quantitative interpretation of the physical processes associated with the interannual variation of South Asian summer monsoon". The data includes 10 years: 1997, 1999, 2000, 2001, 2008, 2009, 2013, 2015, 2018, and 2019. Each year includes two "nc" data, one is the partial temperature, the other is the total temperature.
DOI: 10.5281/zenodo.8268425
title: Quantitative interpretation of the physical processes associated with the interannual variation of South Asian summer monsoon

description: This is the CFRAM-A data of "Quantitative interpretation of the physical processes associated with the interannual variation of South Asian summer monsoon". The data includes 10 years: 1997, 1999, 2000, 2001, 2008, 2009, 2013, 2015, 2018, and 2019. Each year includes two "nc" data, one is the partial temperature, the other is the total temperature.
DOI: 10.6084/m9.figshare.13010663.v1
title: Additional file 3 of Genome-wide analysis of the WRKY gene family in the cucumber genome and transcriptome-wide identification of WRKY transcription factors that respond to biotic and abiotic stresses

description: Additional file 3: Table S1. List of the 61 CsWRKY genes identified in this study.
DOI: 10.6084/m9.figshare.16680685
title: The field experiments of debris flow damming of river channel

description: The data were obtained through large-scale field experiments to model the processes
involved in the debris flow damming of river channel, with the aims of determining
the formation mechanism and critical conditions leading to river blockage.
DOI: 10.6084/m9.figshare.13010675
title: Additional file 6 of Genome-wide analysis of the WRKY gene family in the cucumber genome and transcriptome-wide identification of WRKY transcription factors that respond to biotic and abiotic stresses

description: Additional file 6: Table S4. Analysis of conserved motifs in cucumber WRKY proteins.
DOI: 10.6084/m9.figshare.13010675.v1
title: Additional file 6 of Genome-wide analysis of the WRKY gene family in the cucumber genome and transcriptome-wide identification of WRKY transcription factors that respond to biotic and abiotic stresses

description: Additional file 6: Table S4. Analysis of conserved motifs in cucumber WRKY proteins.
DOI: 10.6084/m9.figshare.11962101
title: Intentional Control of Type I Error Over Unconscious Data Distortion: A Neyman–Pearson Approach to Text Classification

description: This article addresses the challenges in classifying textual data obtained from open online platforms, which are vulnerable to distortion. Most existing classification methods minimize the overall classification error and may yield an undesirably large Type I error (relevant textual messages are classified as irrelevant), particularly when available data exhibit an asymmetry between relevant and irrelevant information. Data distortion exacerbates this situation and often leads to fallacious prediction. To deal with inestimable data distortion, we propose the use of the Neyman–Pearson (NP) classification paradigm, which minimizes Type II error under a user-specified Type I error constraint. Theoretically, we show that the NP oracle is unaffected by data distortion when the class conditional distributions remain the same. Empirically, we study a case of classifying posts about worker strikes obtained from a leading Chinese microblogging platform, which are frequently prone to extensive, unpredictable and inestimable censorship. We demonstrate that, even though the training and test data are susceptible to different distortion and therefore potentially follow different distributions, our proposed NP methods control the Type I error on test data at the targeted level. The methods and implementation pipeline proposed in our case study are applicable to many other problems involving data distortion. Supplementary materials for this article, including a standardized description of the materials available for reproducing the work, are available as an online supplement.
DOI: 10.6084/m9.figshare.13010678
title: Additional file 7 of Genome-wide analysis of the WRKY gene family in the cucumber genome and transcriptome-wide identification of WRKY transcription factors that respond to biotic and abiotic stresses

description: Additional file 7: Table S5. Segmentally duplicated CsWRKY gene pairs.
DOI: 10.6084/m9.figshare.11962101.v2
title: Intentional Control of Type I Error Over Unconscious Data Distortion: A Neyman–Pearson Approach to Text Classification

description: This article addresses the challenges in classifying textual data obtained from open online platforms, which are vulnerable to distortion. Most existing classification methods minimize the overall classification error and may yield an undesirably large Type I error (relevant textual messages are classified as irrelevant), particularly when available data exhibit an asymmetry between relevant and irrelevant information. Data distortion exacerbates this situation and often leads to fallacious prediction. To deal with inestimable data distortion, we propose the use of the Neyman–Pearson (NP) classification paradigm, which minimizes Type II error under a user-specified Type I error constraint. Theoretically, we show that the NP oracle is unaffected by data distortion when the class conditional distributions remain the same. Empirically, we study a case of classifying posts about worker strikes obtained from a leading Chinese microblogging platform, which are frequently prone to extensive, unpredictable and inestimable censorship. We demonstrate that, even though the training and test data are susceptible to different distortion and therefore potentially follow different distributions, our proposed NP methods control the Type I error on test data at the targeted level. The methods and implementation pipeline proposed in our case study are applicable to many other problems involving data distortion. Supplementary materials for this article, including a standardized description of the materials available for reproducing the work, are available as an online supplement.
DOI: 10.6084/m9.figshare.13010678.v1
title: Additional file 7 of Genome-wide analysis of the WRKY gene family in the cucumber genome and transcriptome-wide identification of WRKY transcription factors that respond to biotic and abiotic stresses

description: Additional file 7: Table S5. Segmentally duplicated CsWRKY gene pairs.
DOI: 10.6084/m9.figshare.11962101.v3
title: Intentional Control of Type I Error Over Unconscious Data Distortion: A Neyman–Pearson Approach to Text Classification

description: This article addresses the challenges in classifying textual data obtained from open online platforms, which are vulnerable to distortion. Most existing classification methods minimize the overall classification error and may yield an undesirably large Type I error (relevant textual messages are classified as irrelevant), particularly when available data exhibit an asymmetry between relevant and irrelevant information. Data distortion exacerbates this situation and often leads to fallacious prediction. To deal with inestimable data distortion, we propose the use of the Neyman–Pearson (NP) classification paradigm, which minimizes Type II error under a user-specified Type I error constraint. Theoretically, we show that the NP oracle is unaffected by data distortion when the class conditional distributions remain the same. Empirically, we study a case of classifying posts about worker strikes obtained from a leading Chinese microblogging platform, which are frequently prone to extensive, unpredictable and inestimable censorship. We demonstrate that, even though the training and test data are susceptible to different distortion and therefore potentially follow different distributions, our proposed NP methods control the Type I error on test data at the targeted level. The methods and implementation pipeline proposed in our case study are applicable to many other problems involving data distortion. Supplementary materials for this article, including a standardized description of the materials available for reproducing the work, are available as an online supplement.
DOI: 10.6084/m9.figshare.11962101.v4
title: Intentional Control of Type I Error Over Unconscious Data Distortion: A Neyman–Pearson Approach to Text Classification

description: This article addresses the challenges in classifying textual data obtained from open online platforms, which are vulnerable to distortion. Most existing classification methods minimize the overall classification error and may yield an undesirably large Type I error (relevant textual messages are classified as irrelevant), particularly when available data exhibit an asymmetry between relevant and irrelevant information. Data distortion exacerbates this situation and often leads to fallacious prediction. To deal with inestimable data distortion, we propose the use of the Neyman–Pearson (NP) classification paradigm, which minimizes Type II error under a user-specified Type I error constraint. Theoretically, we show that the NP oracle is unaffected by data distortion when the class conditional distributions remain the same. Empirically, we study a case of classifying posts about worker strikes obtained from a leading Chinese microblogging platform, which are frequently prone to extensive, unpredictable and inestimable censorship. We demonstrate that, even though the training and test data are susceptible to different distortion and therefore potentially follow different distributions, our proposed NP methods control the Type I error on test data at the targeted level. The methods and implementation pipeline proposed in our case study are applicable to many other problems involving data distortion. Supplementary materials for this article, including a standardized description of the materials available for reproducing the work, are available as an online supplement.
DOI: 10.6084/m9.figshare.13010681
title: Additional file 8 of Genome-wide analysis of the WRKY gene family in the cucumber genome and transcriptome-wide identification of WRKY transcription factors that respond to biotic and abiotic stresses

description: Additional file 8: Table S6. Orthologous relationships between cucumber and Arabidopsis/tomato/watermelon/rice/maize.
DOI: 10.15468/dl.jwq648
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-114.71429 42.88678,-113.67938 42.88678,-113.67938 43.93048,-114.71429 43.93048,-114.71429 42.88678))",
 "TaxonKey is Cottus leiopomus Gilbert & Evermann, 1894"
 ]
}

 The dataset includes 14 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049614-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5ffsvs
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Treron vernans (Linnaeus, 1771)",
 "DatasetKey is The birds collection (ZO) of the Muséum national d'Histoire Naturelle (MNHN - Paris)"
 ]
}

 The dataset includes 39 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001940-150528172251762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u57qyq
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Teagueia zeus (Luer & Hirtz) O.Gruss & M.Wolff"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0272824-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uxkrra
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acalymma trivittatum (Mannerheim, 1843)",
 {
 "or" : [
 "Country is United States of America",
 "Country is Mexico"
 ]
 }
 ]
}

 The dataset includes 37 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013579-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aq34qq
title: Occurrence Download

description: A dataset containing 184 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Mimosa pteridifolia Benth."
 ]
}

 The dataset includes 184 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083989-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lmwwy1
title: Occurrence Download

description: A dataset containing 1399 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Jamesonia Hook. & Grev.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Living Specimen",
 "BasisOfRecord is Literature Occurrence"
 ]
 }
 ]
}

 The dataset includes 1399 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001940-150811131857512/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dexc8z
title: Occurrence Download

description: A dataset containing 102756 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Molothrus bonariensis (Gmelin, 1789)"
 ]
}

 The dataset includes 102756 records from 265 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052510-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qca5yh
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Ecuador",
 "TaxonKey is Gastrotheca cornuta (Boulenger, 1898)"
 ]
}

 The dataset includes 46 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013579-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.shemp2
title: Occurrence Download

description: A dataset containing 3443 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Anadenanthera peregrina (L.) Speg., Anadenanthera peregrina var. falcata (Benth.) Altschul, Anadenanthera peregrina var. peregrina)"
 ]
}

 The dataset includes 3443 records from 197 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0134723-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ii2xgd
title: Occurrence Download

description: A dataset containing 169 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Parachromis loisellei (Bussing, 1989)"
 ]
}

 The dataset includes 169 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004055-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gpdyxc
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Proxys punctulatus (Palisot, 1818)",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-114.94 10.57,-114.94 27.09,-87.39 27.09,-87.39 10.57,-114.94 10.57))"
 ]
}

 The dataset includes 53 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001940-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.utxhtu
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "Geometry POLYGON((-171.21094 44.59047,-125.77148 53.33087,-119.17969 73.42842,-171.21094 73.42842,-171.21094 44.59047))",
 "TaxonKey is Oestridae",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 44 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013580-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bs8kc3
title: Occurrence Download

description: A dataset containing 9609 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-68.56228 -54.84207,-68.28535 -54.84647,-68.31342 -54.55875,-68.56228 -54.56534,-68.56228 -54.84207))",
 "HasGeospatialIssue is false",
 "Year 2019-2019"
 ]
}

 The dataset includes 9609 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083999-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vmganz
title: Occurrence Download

description: A dataset containing 180 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Continent is North America",
 "Continent is South America"
 ]
 },
 "TaxonKey is Kretzschmaria deusta (Hoffm.) P.M.D.Martin"
 ]
}

 The dataset includes 180 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0272822-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bat9lm
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Solanum tuberosum L.",
 "Country is Peru",
 "EventDate 2010-01-01-2016-04-30"
 ]
}

 The dataset includes 10 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001940-160509122628363/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2x5fe9
title: Occurrence Download

description: A dataset containing 5367 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "TaxonKey is Ambrosia artemisiifolia L.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5367 records from 234 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013580-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yabh7y
title: Occurrence Download

description: A dataset containing 111 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Artemisia klotzchiana Besser, 1841"
 ]
}

 The dataset includes 111 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006978-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.folshf
title: Occurrence Download

description: A dataset containing 525 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fallopia japonica var. japonica",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 525 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001941-150922153815467/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bzrwfv
title: Occurrence Download

description: A dataset containing 472 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((3.97821 50.48846,3.97364 50.48695,3.97486 50.48443,3.986 50.48035,3.98813 50.48375,3.98806 50.48579,3.98417 50.48856,3.97821 50.48846))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 472 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0289959-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nvifvi
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-62.09151 -3.62553,-55.01742 -3.62553,-55.01742 -0.79710,-62.09151 -0.79710,-62.09151 -3.62553))",
 "HasCoordinate is true",
 "TaxonKey is Hypancistrus Isbrücker & Nijssen, 1991",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 15 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006978-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.orrrrq
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Morinda citrifolia L.",
 {
 "or" : [
 "Country is Colombia",
 "Country is Peru",
 "Country is Bolivia (Plurinational State of)",
 "Country is Ecuador",
 "Country is Venezuela (Bolivarian Republic of)"
 ]
 }
 ]
}

 The dataset includes 46 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013586-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.scb9mf
title: Occurrence Download

description: A dataset containing 142 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fucus serratus L.",
 "Country is Spain"
 ]
}

 The dataset includes 142 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001941-160430102343922/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.as6hg2
title: Occurrence Download

description: A dataset containing 46690 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((6.225 53.325,6.275 53.325,6.275 53.375,6.225 53.375,6.225 53.325))",
 "DatasetKey is Observation.org, Nature data from around the World",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 46690 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0307343-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.