cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ausp4c
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dacelo novaeguineae (Hermann, 1783), Dama dama (Linnaeus, 1758), Danio albolineatus (Blyth, 1860), Danio kerri Smith, 1931, Davallia fejeensis Hook., Delphinium elatum L., Deroceras panormitanum (Lessona & Pollonera, 1882), Devario aequipinnatus (McClelland, 1839), Devario malabaricus (Jerdon, 1849), Dichanthium caricosum (L.) A.Camus, Dicliptera peduncularis Nees, Dimidiochromis compressiceps (Boulenger, 1908), Dracaena braunii Engl., Echinacea angustifolia DC., Epalzeorhynchos bicolor (Smith, 1931), Ephippiorhynchus senegalensis (Shaw, 1800), Epidendrum ilense Dodson, Eragrostis barrelieri Daveau, Eriocapitella hupehensis (Lemoine) Christenh. & Byng, Eryngium alpinum L., Eryngium aquaticum L., Erythrura gouldiae (Gould, 1844), Etroplus maculatus (Bloch, 1795), Eublepharis macularius (Blyth, 1854), Eucalyptus paniculata Sm., Eugenia bergii Nied., Eulophia ecristata (Fernald) Ames, Euphorbia terracina L., Euphorbia xylophylloides Brongn. ex Lem., Ferrissia californica (Rowell, 1863), Ficus salzmanniana (Miq.) Miq., Fragilariopsis doliolus (Wallich) Medlin & P.A.Sims, 1993, Fumaria densiflora DC., Gomesa radicans (Rchb.f.) M.W.Chase & N.H.Williams, Guilandina major (Medik.) Small)",
 "Country is Colombia",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027200-241007104925546/datasets/export for details.
DOI: 10.7910/dvn/29236/09fwfb
title: dcolmxyz_100axons_312nodes_9um_1.txt
DOI: 10.7910/dvn/29236/5r5slp
title: dermthresh_patient1_n20.tif
DOI: 10.7910/dvn/29236/bc7bh1
title: cataloginfo_intraduralscsstudy_data.JPG
DOI: 10.7910/dvn/29236/p1b2yi
title: dcolmxyz_100axons_312nodes_9um.txt
DOI: 10.7910/dvn/29236/soq6d0
title: dcolmxyz_100axons_312nodes_9um_2.txt
DOI: 10.7910/dvn/unhby/b79nyk
title: revision base muestra 2_JEML17MAR11.sps
DOI: 10.7910/dvn/unhby/jfbqad
title: Indicadores Logframe PF_MCB_09MAY2011.xls
DOI: 10.7910/dvn/unhby/kwsqk3
title: revision base muestra 1_JEML1MAR11.sps
DOI: 10.7910/dvn/unhby/muddiw
title: PASMO Family Planning 10.6.10 - PREPv2.pdf
DOI: 10.7910/dvn/unhby/twphqh
title: PreguntasNoLOGFRAME_MCB_08MAR2011.sps
DOI: 10.5281/zenodo.13948003
title: IODP Expedition 356 Ion chromatography

description: Cation and anion concentration in interstitial water samples was measured by ion chromatography using a conductivity detector. Cation analytes include calcium, magnesium, potassium, and sodium. Anion analytes include chloride, sulfate, and bromide.
DOI: 10.5281/zenodo.13948004
title: IODP Expedition 356 Ion chromatography

description: Cation and anion concentration in interstitial water samples was measured by ion chromatography using a conductivity detector. Cation analytes include calcium, magnesium, potassium, and sodium. Anion analytes include chloride, sulfate, and bromide.
DOI: 10.7910/dvn/23144/a4uwhx
title: 17.2013 LAC Youth MOD 2 10.21.13 Approval.pdf
DOI: 10.7910/dvn/23144/dpicoy
title: 2013_TRaC HON Jovenes Diseo_FOAP_23Septiembre2013.docx
DOI: 10.7910/dvn/23144/sqrqal
title: 17.2013 LAC Youth 4.26.13 Approval.pdf
DOI: 10.7910/dvn/23144/xnjtcr
title: 17.2013 LAC Youth MOD 1 9.25.13 Approval.pdf
DOI: 10.7910/dvn/23144/yqit1u
title: 2013_Jovenes_TRaC_Cuestionario FOAP 23Sept2013.pdf
DOI: 10.7910/dvn/29236/dx1rmw
title: dermthresh_patient2_n20.tif
DOI: 10.7910/dvn/29236/pvlref
title: dorsalcolumn_coord.m
DOI: 10.15468/dl.t55t5a
title: Occurrence Download

description: A dataset containing 585195 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Lotus corniculatus L.)"
 ]
}

 The dataset includes 585195 records from 1219 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065094-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fqxrxh
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.29_1",
 "TaxonKey is Coccyzus americanus (Linnaeus, 1758)"
 ]
}

 The dataset includes 77 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0144501-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8kvtac
title: Occurrence Download

description: A dataset containing 1286 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudoeurycea brunnata Bumzahem & Smith, 1955"
 ]
}

 The dataset includes 1286 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015089-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pn2xf7
title: Occurrence Download

description: A dataset containing 3422 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Betula lenta L."
 ]
}

 The dataset includes 3422 records from 131 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087612-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eu3vep
title: Occurrence Download

description: A dataset containing 6567 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Orchis pallens L.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "Year is greater than or equal to 1990",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 6567 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0163666-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.22r925
title: Occurrence Download

description: A dataset listing the 9447 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alismatales"
 ]
}

 The dataset's 9447 records were derived from 2231 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087058-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.asyeb3
title: Occurrence Download

description: A dataset containing 2301 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Baccharis serrulata (Lam.) Pers., Baccharis lundii DC., Baccharis lundii var. punctigera (DC.) Baker, Baccharis punctigera DC., Baccharis depauperata Gardner)"
 ]
}

 The dataset includes 2301 records from 137 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033916-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wvzxzk
title: Occurrence Download

description: A dataset containing 96 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Mus sorella (Thomas, 1909)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 96 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033918-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f8h6jt
title: Occurrence Download

description: A dataset listing the 12766 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "GadmGid is one of (COL.11_2)"
 ]
}

 The dataset's 12766 records were derived from 468 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033900-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jzy5dp
title: Occurrence Download

description: A dataset containing 285 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Conanthera bifolia Ruiz & Pav."
 ]
}

 The dataset includes 285 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024220-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.snajr7
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calliandra colimae Barneby"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0150379-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7klmz0
title: Occurrence Download

description: A dataset containing 22922599 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Asteraceae"
 ]
}

 The dataset includes 22922599 records from 2566 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048756-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-03.2758218/2397919
title: Data for EMSL Project 60214 from March 2023
DOI: 10.15468/dl.hmjgjj
title: Occurrence Download

description: A dataset containing 388 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Thailand",
 "TaxonKey is Elephas maximus Linnaeus, 1758"
 ]
}

 The dataset includes 388 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024030-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-05.2809932/2397920
title: Data for EMSL Project 60214 from May 2023
DOI: 10.25582/data.2023-01.2716811/2397921
title: Data for EMSL Project 60214 from January 2023
DOI: 10.25582/data.2023-04.2792108/2397922
title: Data for EMSL Project 60214 from April 2023
DOI: 10.25582/data.2023-04.2792346/2397923
title: Data for EMSL Project 60214 from April 2023
DOI: 10.25582/data.2023-04.2792149/2397924
title: Data for EMSL Project 60214 from April 2023
DOI: 10.25582/data.2023-04.2795278/2397925
title: Data for EMSL Project 60214 from April 2023
DOI: 10.15468/dl.cjusqp
title: Occurrence Download

description: A dataset containing 821 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Viverricula indica (É.Geoffroy Saint-Hilaire, 1803)"
 ]
}

 The dataset includes 821 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024031-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2022-12.2662353/2397926
title: Data for EMSL Project 60214 from December 2022
DOI: 10.25582/data.2023-01.2715386/2397927
title: Data for EMSL Project 60214 from January 2023
DOI: 10.25582/data.2023-04.2786243/2397928
title: Data for EMSL Project 60214 from April 2023
DOI: 10.25582/data.2023-01.2716793/2397929
title: Data for EMSL Project 60214 from January 2023
DOI: 10.25582/data.2023-04.2791805/2397930
title: Data for EMSL Project 60214 from April 2023
DOI: 10.25582/data.2023-01.2718711/2397931
title: Data for EMSL Project 60214 from January 2023
DOI: 10.25582/data.2023-01.2716944/2397932
title: Data for EMSL Project 60214 from January 2023
DOI: 10.25582/data.2023-04.2794618/2397933
title: Data for EMSL Project 60214 from April 2023
DOI: 10.25582/data.2023-02.2756201/2397934
title: Data for EMSL Project 60214 from February 2023
DOI: 10.25582/data.2022-12.2675704/2397935
title: Data for EMSL Project 60214 from December 2022
DOI: 10.25582/data.2023-01.2716808/2397936
title: Data for EMSL Project 60214 from January 2023
DOI: 10.25582/data.2023-04.2791942/2397937
title: Data for EMSL Project 60214 from April 2023
DOI: 10.25582/data.2022-12.2678690/2397938
title: Data for EMSL Project 60214 from December 2022
DOI: 10.25582/data.2022-12.2679344/2397939
title: Data for EMSL Project 60214 from December 2022
DOI: 10.25582/data.2023-01.2719092/2397940
title: Data for EMSL Project 60214 from January 2023
DOI: 10.25582/data.2023-04.2792098/2397941
title: Data for EMSL Project 60214 from April 2023
DOI: 10.25582/data.2023-01.2719142/2397942
title: Data for EMSL Project 60214 from January 2023
DOI: 10.25582/data.2023-03.2776826/2397943
title: Data for EMSL Project 60214 from March 2023
DOI: 10.25582/data.2022-12.2678587/2397944
title: Data for EMSL Project 60214 from December 2022
DOI: 10.25582/data.2022-12.2662431/2397945
title: Data for EMSL Project 60214 from December 2022
DOI: 10.25582/data.2022-12.2682173/2397946
title: Data for EMSL Project 60214 from December 2022
DOI: 10.25582/data.2023-04.2791771/2397947
title: Data for EMSL Project 60214 from April 2023
DOI: 10.25582/data.2022-12.2676468/2397948
title: Data for EMSL Project 60214 from December 2022
DOI: 10.25582/data.2022-12.2679370/2397949
title: Data for EMSL Project 60214 from December 2022
DOI: 10.25582/data.2023-01.2719674/2397950
title: Data for EMSL Project 60214 from January 2023
DOI: 10.25582/data.2023-04.2782462/2397951
title: Data for EMSL Project 60214 from April 2023
DOI: 10.15468/dl.8h6pvu
title: Occurrence Download

description: A dataset containing 18900 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Crossosomatales"
 ]
}

 The dataset includes 18900 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024034-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2022-12.2663510/2397952
title: Data for EMSL Project 60214 from December 2022
DOI: 10.15468/dl.vap3hk
title: Occurrence Download

description: A dataset containing 20156 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Santalales"
 ]
}

 The dataset includes 20156 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024032-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2022-12.2661273/2397953
title: Data for EMSL Project 60214 from December 2022
DOI: 10.25582/data.2023-04.2786327/2397954
title: Data for EMSL Project 60214 from April 2023
DOI: 10.25582/data.2023-04.2792210/2397955
title: Data for EMSL Project 60214 from April 2023
DOI: 10.25582/data.2022-12.2675508/2397956
title: Data for EMSL Project 60214 from December 2022
DOI: 10.25582/data.2023-02.2752796/2397957
title: Data for EMSL Project 60214 from February 2023
DOI: 10.25582/data.2023-01.2716511/2397958
title: Data for EMSL Project 60214 from January 2023
DOI: 10.15468/dl.prn7v3
title: Occurrence Download

description: A dataset containing 20142 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Piperales"
 ]
}

 The dataset includes 20142 records from 97 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024033-240626123714530/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.26300983
title: Supplementary tables of sepsis machine learning

description: Context: Non-thyroid disease syndrome (NTIS) occurs in various serious illnesses, with sepsis being a common cause. Early identification of NTIS risk in sepsis patients is crucial. Objective: This study aims to investigate the effectiveness of machine learning algorithms in predicting NTIS occurrence and mortality in sepsis patients.Methods: Clinical data, including biochemical markers, physiological parameters, and treatment information, were collected from sepsis patients to train and test eight machine learning models: eXtreme Gradient Boosting (XGBoost), generalized linear model (GLM), logistic regression, Poisson regression, random forest, support vector machine (SVM), decision tree, and Lasso regression. The area under the receiver operating characteristic curve (ROC AUC), accuracy, precision, recall, and balanced accuracy were used to assess the accuracy and efficacy of each model.Results: XGBoost showed the highest accuracy and sensitivity in predicting NTIS occurrence and mortality. Lower levels of T3, FT4, kappa/lambda (KAP/LAM) ratio, and anti-thymocyte globulin (ATG) were associated with increased NTIS risk. Mechanical ventilation, age, adrenaline, norepinephrine, lower CD3 counts, and lower fibrinogen (FIB) were indicative of worse outcomes.Conclusions: Machine learning algorithms, especially XGBoost, effectively predict NTIS occurrence and mortality in sepsis patients. XGBoost outperformed other models in accuracy and sensitivity, highlighting its potential in early identification and risk assessment of NTIS in critically ill patients.<br>
DOI: 10.6084/m9.figshare.26300983.v1
title: Supplementary tables of sepsis machine learning

description: Context: Non-thyroid disease syndrome (NTIS) occurs in various serious illnesses, with sepsis being a common cause. Early identification of NTIS risk in sepsis patients is crucial. Objective: This study aims to investigate the effectiveness of machine learning algorithms in predicting NTIS occurrence and mortality in sepsis patients.Methods: Clinical data, including biochemical markers, physiological parameters, and treatment information, were collected from sepsis patients to train and test eight machine learning models: eXtreme Gradient Boosting (XGBoost), generalized linear model (GLM), logistic regression, Poisson regression, random forest, support vector machine (SVM), decision tree, and Lasso regression. The area under the receiver operating characteristic curve (ROC AUC), accuracy, precision, recall, and balanced accuracy were used to assess the accuracy and efficacy of each model.Results: XGBoost showed the highest accuracy and sensitivity in predicting NTIS occurrence and mortality. Lower levels of T3, FT4, kappa/lambda (KAP/LAM) ratio, and anti-thymocyte globulin (ATG) were associated with increased NTIS risk. Mechanical ventilation, age, adrenaline, norepinephrine, lower CD3 counts, and lower fibrinogen (FIB) were indicative of worse outcomes.Conclusions: Machine learning algorithms, especially XGBoost, effectively predict NTIS occurrence and mortality in sepsis patients. XGBoost outperformed other models in accuracy and sensitivity, highlighting its potential in early identification and risk assessment of NTIS in critically ill patients.<br>
DOI: 10.25582/data.2023-03.2776840/2397959
title: Data for EMSL Project 60214 from March 2023
DOI: 10.25582/data.2023-03.2776843/2397960
title: Data for EMSL Project 60214 from March 2023
DOI: 10.25582/data.2023-04.2792239/2397961
title: Data for EMSL Project 60214 from April 2023
DOI: 10.25582/data.2022-12.2678076/2397962
title: Data for EMSL Project 60214 from December 2022
DOI: 10.25582/data.2022-12.2662926/2397963
title: Data for EMSL Project 60214 from December 2022
DOI: 10.5519/qd.gq3vmeng
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (14 records)
DOI: 10.25582/data.2022-12.2661125/2397964
title: Data for EMSL Project 60214 from December 2022
DOI: 10.25582/data.2023-04.2787553/2397965
title: Data for EMSL Project 60214 from April 2023
DOI: 10.25582/data.2023-04.2792000/2397966
title: Data for EMSL Project 60214 from April 2023
DOI: 10.25582/data.2023-04.2792052/2397967
title: Data for EMSL Project 60214 from April 2023
DOI: 10.25582/data.2023-01.2719648/2397968
title: Data for EMSL Project 60214 from January 2023
DOI: 10.25582/data.2023-04.2795074/2397969
title: Data for EMSL Project 60214 from April 2023
DOI: 10.25582/data.2023-02.2751904/2397970
title: Data for EMSL Project 60214 from February 2023
DOI: 10.25582/data.2023-05.2809918/2397971
title: Data for EMSL Project 60214 from May 2023
DOI: 10.25582/data.2022-12.2679857/2397972
title: Data for EMSL Project 60214 from December 2022
DOI: 10.15468/dl.7mddrn
title: Occurrence Download

description: A dataset containing 39054436 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mammalia"
 ]
}

 The dataset includes 39054436 records from 14837 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024021-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6sjq5c
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Leopardus colocolo colocolo",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000768-171020152545675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wbrsbe
title: Occurrence Download

description: A dataset containing 18085 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DecimalLatitude is greater than or equal to 54.5617",
 "DecimalLatitude is less than or equal to 63",
 "DecimalLongitude is greater than or equal to 4.63",
 "DecimalLongitude is less than or equal to 20",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2010",
 "TaxonKey is one of (Bombus wurflenii, Bombus wurflenii Radoszkowski, 1859, 161537673, Bombus wurflenii Radoszkowski, 1859, Bombus wurflenii Radoszkowski, 1859, Bombus wurflenii Radoszkowski, 1860, Bombus wurflenii Radoszkowski, 1859, 157812202, Bombus wurflenii Radoszkowski 1859, Bombus wurflenii Radoszkowski, 1859, 110189568, Bombus mastrucatus Gerstaecker, 1869, Bombus wurflenii Radoszkowski, 1860)"
 ]
}

 The dataset includes 18085 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095881-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ha5xbs
title: Occurrence Download

description: A dataset containing 400365 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Animalia",
 "DecimalLatitude is greater than 36.1114419947181",
 "DecimalLatitude is less than 37.4200207665054",
 "DecimalLongitude is greater than -119.208080232653",
 "DecimalLongitude is less than -118.009601631904"
 ]
}

 The dataset includes 400365 records from 137 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000768-171025204727650/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.