cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.u82hpf
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cerviniella bodini Coull, 1973"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0115350-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9qex2v
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Yucca elata (Engelm.) Engelm.",
 {
 "not" : {
 "Country" : [
 "is United States of America"
 ]
 }
 },
 {
 "not" : {
 "Country" : [
 "is unknown or invalid"
 ]
 }
 },
 {
 "not" : {
 "Country" : [
 "is United States"
 ]
 }
 },
 {
 "not" : {
 "Country" : [
 "is United States of America"
 ]
 }
 },
 {
 "not" : {
 "Country" : [
 "is Canada"
 ]
 }
 },
 {
 "not" : {
 "Country" : [
 "is Canada"
 ]
 }
 },
 {
 "not" : {
 "Continent" : [
 "is North America"
 ]
 }
 }
 ]
}

 The dataset includes 48 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046696-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9kzsqh
title: Occurrence Download

description: A dataset containing 680 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-118.3695474000000019 34.0346778999999984, -118.3695474000000019 34.0368271800000031, -118.3695474000000019 34.0398975800000017, -118.3695474000000019 34.0415862999999987, -118.3695474000000019 34.0451172599999978, -118.3695474000000019 34.0475735799999981, -118.3695474000000019 34.0500298999999984, -118.3658660400000002 34.0500298999999984, -118.3626449599999972 34.0500298999999984, -118.3588103499999988 34.0500298999999984, -118.3558960499999984 34.0500298999999984, -118.3522148200000004 34.0500298999999984, -118.3494539000000003 34.0500298999999984, -118.3451591299999990 34.0500298999999984, -118.3431649999999991 34.0500298999999984, -118.3431649999999991 34.0463454200000015, -118.3431649999999991 34.0441961399999968, -118.3431649999999991 34.0409722200000004, -118.3431649999999991 34.0372877399999965, -118.3431649999999991 34.0346778999999984, -118.3463862100000057 34.0346778999999984, -118.3508343599999932 34.0346778999999984, -118.3526749699999954 34.0346778999999984, -118.3552825099999950 34.0346778999999984, -118.3591171199999934 34.0346778999999984, -118.3621848100000022 34.0346778999999984, -118.3644855799999931 34.0346778999999984, -118.3673998799999936 34.0346778999999984, -118.3695474000000019 34.0346778999999984))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 680 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075642-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tnpmj9
title: Occurrence Download

description: A dataset containing 201 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Leonardina woodi",
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Year 2011-2021",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen, Material citation, Material sample)"
 ]
 }
 }
 ]
}

 The dataset includes 201 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074708-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c5t5z2
title: Occurrence Download

description: A dataset containing 697 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Caranx caninus Günther, 1867"
 ]
}

 The dataset includes 697 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0099691-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ymg5xq
title: Occurrence Download

description: A dataset containing 99 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rhinophis melanogaster (Gray, 1858))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 99 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046704-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nmgy83
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Naxioides teatui Poupin, 1995"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0126085-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.khux7v
title: Occurrence Download

description: A dataset listing the 2357 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Observation)",
 "Country is Australia",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 1982-2023"
 ]
}

 The dataset's 2357 records were derived from 119 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046706-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mqsfkq
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-118.1156253999999990 34.0121293999999992, -118.1156253999999990 34.0125801699999997, -118.1156253999999990 34.0134470500000035, -118.1156253999999990 34.0140018499999996, -118.1156253999999990 34.0146953499999967, -118.1156253999999990 34.0155968999999985, -118.1149652699999990 34.0155968999999985, -118.1143050600000066 34.0155968999999985, -118.1134016200000048 34.0155968999999985, -118.1126371699999993 34.0155968999999985, -118.1116294800000048 34.0155968999999985, -118.1109345999999931 34.0155968999999985, -118.1109345999999931 34.0151114499999991, -118.1109345999999931 34.0143485999999982, -118.1109345999999931 34.0137591299999968, -118.1109345999999931 34.0132389999999987, -118.1109345999999931 34.0126495299999974, -118.1109345999999931 34.0121293999999992, -118.1118727199999938 34.0121293999999992, -118.1124634300000054 34.0121293999999992, -118.1129499000000038 34.0121293999999992, -118.1136101000000025 34.0121293999999992, -118.1144788000000005 34.0121293999999992, -118.1149652699999990 34.0121293999999992, -118.1156253999999990 34.0121293999999992))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075712-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dzprep
title: Occurrence Download

description: A dataset containing 4023 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Lepidocolaptes falcinellus",
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Year 2011-2021",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen, Material citation, Material sample)"
 ]
 }
 }
 ]
}

 The dataset includes 4023 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074709-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3ts2wx
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phalaenopsis lobbii (Rchb.f.) H.R.Sweet",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075713-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wwh72c
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rhinophis roshanpererai Wickramasinghe, Vidanapathirana, Rajeev & Gower, 2017)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 44 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046699-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nwq23x
title: Occurrence Download

description: A dataset containing 3463 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-87.6641713000000067 41.8376038999999977, -87.6641713000000067 41.8398747399999991, -87.6641713000000067 41.8418493799999993, -87.6641713000000067 41.8441202099999998, -87.6641713000000067 41.8456999200000013, -87.6641713000000067 41.8474770999999990, -87.6619984099999954 41.8474770999999990, -87.6600230300000050 41.8474770999999990, -87.6587390300000067 41.8474770999999990, -87.6567636399999941 41.8474770999999990, -87.6541956399999975 41.8474770999999990, -87.6522202499999992 41.8474770999999990, -87.6505411699999968 41.8474770999999990, -87.6488621000000023 41.8474770999999990, -87.6463928999999951 41.8474770999999990, -87.6463928999999951 41.8460948500000001, -87.6463928999999951 41.8442189399999975, -87.6463928999999951 41.8430341600000020, -87.6463928999999951 41.8411582499999994, -87.6463928999999951 41.8400722000000016, -87.6463928999999951 41.8376038999999977, -87.6477756299999982 41.8376038999999977, -87.6497510199999965 41.8376038999999977, -87.6511337900000029 41.8376038999999977, -87.6529116399999992 41.8376038999999977, -87.6548870200000039 41.8376038999999977, -87.6568624100000022 41.8376038999999977, -87.6598254900000029 41.8376038999999977, -87.6620971800000035 41.8376038999999977, -87.6641713000000067 41.8376038999999977))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 3463 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087497-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.smbqah
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Argostemma grandiflorum Ridl."
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046748-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r289g4
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phalaenopsis gigantea J.J.Sm.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075681-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tcq3bx
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Argostemma crassinerve Valeton"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046701-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/m269x4bdms.2
title: Supplemental Material - Application of behavior data to predictive exploratory models of metritis self-cure and treatment failure in dairy cows

description: The objective was to evaluate the performance of exploratory models containing routinely available on-farm data, behavior data, and the combination of both to predict metritis self-cure (SC) and treatment failure (TF). Holstein cows (n = 1,061) were fitted with a collar-mounted automated- health monitoring device (AHMD) from −21 ± 3 to 60 ± 3 d relative to calving to monitor rumination and activity. Cows were examined for diagnosis of metritis at 4 ± 1, 7 ± 1, and 9 ± 1 DIM. Cows diagnosed with metritis (n = 132), characterized by watery, fetid, reddish/brownish vaginal discharge (VD) were randomly allocated to one of 2 treatments: Control (CON; n = 62) - no treatment at the time of metritis diagnosis (d 0); Ceftiofur (CEF; n = 70) - subcutaneous injection of 6.6 mg/kg of ceftiofur crystalline-free acid on d 0 and 3 relative to diagnosis. Cure was determined 12 d after diagnosis and was considered when VD became mucoid and not fetid. Cows in CON were used to determine SC and cows in CEF were used to determine TF. Univariable analyses were performed using farm-collected data (parity, calving season, calving-related disorders, body condition score, rectal temperature, and days in milk at metritis diagnosis) and behavior data (i.e., daily averages of rumination, activity generated by AHMD, and derived variables) to assess their association with metritis SC or TF. Variables with a P ≤ 0.20 were included in the multivariable logistic regression exploratory models. To predict SC, the area under the curve (AUC) for the exploratory model containing only data routinely available on-farm was 0.75. The final exploratory model to predict SC combining routinely available on-farm data and behavior data increased the AUC to 0.87, sensitivity (Se) 89% and specificity (Sp) 77%. To predict TF, the AUC for the exploratory model containing only data routinely available on-farm was 0.90. The final exploratory model combining routinely available on-farm data and behavior data increased the AUC to 0.93, Se of 93% and Sp of 87%. Cross-validation analysis revealed that generalizability of the exploratory models was poor, which indicates that the findings are applicable to the conditions of the present exploratory study. In summary, the addition of behavior data contributed to increasing the prediction of SC and TF. Developing and validating accurate prediction models for SC could lead to a reduction in antimicrobial use, whereas accurate prediction of cows that would have TF may allow for better management decisions.
DOI: 10.17632/m269x4bdms.1
title: Supplemental Material - Application of behavior data to predictive exploratory models of metritis self-cure and treatment failure in dairy cows

description: The objective was to evaluate the performance of exploratory models containing routinely available on-farm data, behavior data, and the combination of both to predict metritis self-cure (SC) and treatment failure (TF). Holstein cows (n = 1,061) were fitted with a collar-mounted automated- health monitoring device (AHMD) from −21 ± 3 to 60 ± 3 d relative to calving to monitor rumination and activity. Cows were examined for diagnosis of metritis at 4 ± 1, 7 ± 1, and 9 ± 1 DIM. Cows diagnosed with metritis (n = 132), characterized by watery, fetid, reddish/brownish vaginal discharge (VD) were randomly allocated to one of 2 treatments: Control (CON; n = 62) - no treatment at the time of metritis diagnosis (d 0); Ceftiofur (CEF; n = 70) - subcutaneous injection of 6.6 mg/kg of ceftiofur crystalline-free acid on d 0 and 3 relative to diagnosis. Cure was determined 12 d after diagnosis and was considered when VD became mucoid and not fetid. Cows in CON were used to determine SC and cows in CEF were used to determine TF. Univariable analyses were performed using farm-collected data (parity, calving season, calving-related disorders, body condition score, rectal temperature, and days in milk at metritis diagnosis) and behavior data (i.e., daily averages of rumination, activity generated by AHMD, and derived variables) to assess their association with metritis SC or TF. Variables with a P ≤ 0.20 were included in the multivariable logistic regression exploratory models. To predict SC, the area under the curve (AUC) for the exploratory model containing only data routinely available on-farm was 0.75. The final exploratory model to predict SC combining routinely available on-farm data and behavior data increased the AUC to 0.87, sensitivity (Se) 87% and specificity (Sp) 71%. To predict TF, the AUC for the exploratory model containing only data routinely available on-farm was 0.90. The final exploratory model combining routinely available on-farm data and behavior data increased the AUC to 0.93, Se of 93% and Sp of 82%. Cross-validation analysis revealed that generalizability of the exploratory models was poor, which indicates that the findings are applicable to the conditions of the present exploratory study. In summary, the addition of behavior data contributed to increasing the prediction of SC and TF. Developing and validating accurate prediction models for SC could lead to a reduction in antimicrobial use, whereas accurate prediction of cows that would have TF may allow for better management decisions.
DOI: 10.17632/4knjgb5c4v.1
title: Divalent Metal for Nucleosidation

description: Selective nucleosidation promoted by divalent metal minerals
DOI: 10.15468/dl.6p97uw
title: Occurrence Download

description: A dataset containing 9765 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cryptochiton stelleri (Middendorff, 1847)"
 ]
}

 The dataset includes 9765 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075717-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jbdgq3
title: Occurrence Download

description: A dataset containing 45593 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pterocarpus Jacq."
 ]
}

 The dataset includes 45593 records from 687 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046749-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.esc6m2
title: Occurrence Download

description: A dataset containing 277 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chiton viridis Spengler, 1797"
 ]
}

 The dataset includes 277 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075693-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.umgnrv
title: Occurrence Download

description: A dataset containing 1824 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Mexico",
 "TaxonKey is Bassariscus astutus (Lichtenstein, 1830)"
 ]
}

 The dataset includes 1824 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046757-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/vvxgybbj8j.1
title: Research on the effect of orography on atmosphere.

description: Here are all the datasets involved in orographic effect studies. It is divided into four parts. The first part is an overview of orographic forcing, the second part is the influence of orography at different scales, the third part is the sensitivity of unresolved orography to resolution, and the fourth part is the evaluation of unresolved orography.
DOI: 10.17632/5tm6jgxhg2.2
title: Data for "Ice Sheet Speed-dating: Using expert judgement to identify "good" simulations of the Last Glacial Maximum North American Ice Sheets"

description: Data for Short Communication "Ice Sheet Speed-dating: Using expert judgement to identify "good" simulations of the Last Glacial Maximum North American Ice Sheets" in review at Quaternary Science Reviews.

Abstract: After generating a large ensemble of palaeo ice sheet model runs, it is common to either rank the simulations, or classify each simulation as an acceptable match to observations or not. Both tasks require implicit human judgement, usually left to the discretion of the research authors. For instance, even numerical comparisons to reconstructions require human input on values for match thresholds and allowances for model-mismatch. We embrace the subjectivity of human judgement and calibrate an ice-sheet model by explicitly asking experts to identify simulations that are good enough. Expert judgement is made based on a set of features of the model output that is of interest (for example, margin shapes and regional ice volumes); where possible we also record such knowledge. By seeking the input of many experts, we obtain a community consensus that can be used to develop guidance to determine the quality of future simulations. This short communication describes our exercise in seeking expert classifications of simulations of the Last Glacial Maximum (LGM) North American Ice Sheets, discusses the lessons learnt, and suggests future analysis of the responses.