cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21989/d9/ezwzze/kejnw9
title: CoAReports.mac.sas
DOI: 10.21989/d9/ezwzze/7ueacl
title: run.crude.parta.totals.2017.sas
DOI: 10.21989/d9/ezwzze/sqbvqg
title: PrepforDiff17.sas
DOI: 10.21989/d9/ezwzze/novrnu
title: cms_state.sas
DOI: 10.21989/d9/ezwzze/rlqdz7
title: regionformats.sas
DOI: 10.21989/d9/ezwzze/ggtun4
title: RunPPVarsArea2017.sas
DOI: 10.21989/d9/ezwzze/btgys6
title: ASRdum.mac.sas
DOI: 10.21989/d9/ezwzze/lesdfy
title: ExportData.Regional.mac.sas
DOI: 10.21989/d9/ezwzze/tjtjl5
title: run.crude.snfls.2017.sas
DOI: 10.21989/d9/ezwzze/hjq5pt
title: MakeICUDayFactor.sas
DOI: 10.21989/d9/ezwzze/bi5oqf
title: Make.Views.Routine.Report.2017.sas
DOI: 10.21989/d9/ezwzze/mr102s
title: GetDiffs.mac.sas
DOI: 10.21989/d9/ezwzze/3lxiyo
title: ExportData_PPVars.sas
DOI: 10.21989/d9/ezwzze/kllvq5
title: GenModPrep.mac.sas
DOI: 10.21989/d9/ezwzze/qidnwl
title: RunCOA17.sas
DOI: 10.21989/d9/ezwzze/bgsztv
title: MakeDataview.mac.sas
DOI: 10.21989/d9/ezwzze/rdehxj
title: Area.Multiyear.mac.sas
DOI: 10.21989/d9/ezwzze/iu0fu5
title: DenAddon.mac.sas
DOI: 10.21989/d9/ezwzze/dn8nrv
title: run.getbenecnt.othevents.2017.sas
DOI: 10.21989/d9/ezwzze/ufaroi
title: MedRank.mac.sas
DOI: 10.21989/d9/ezwzze/wrt8xw
title: make.mvars.mac.sas
DOI: 10.21989/d9/ezwzze/wx9rol
title: RunSupPPVarsArea2017.sas
DOI: 10.21989/d9/ezwzze/gfe5ss
title: EOLCD_Driver_Routine_report_2017.xls
DOI: 10.21989/d9/ezwzze/l4i4bi
title: CohortA.mac.sas
DOI: 10.21989/d9/ezwzze/bllluj
title: OutRec.mac.sas
DOI: 10.21989/d9/ezwzze/umghfg
title: ADDdummies.mac.sas
DOI: 10.21989/d9/ezwzze/1ohdcm
title: GenMod_Linear_Annual.mac.sas
DOI: 10.21989/d9/ezwzze/clbpqm
title: Suppress_PPVarsArea.sas
DOI: 10.21989/d9/ezwzze/dpork8
title: export_routine_report.2017.sas
DOI: 10.21989/d9/ezwzze/xep7xk
title: SxClmCounts.mac.sas
DOI: 10.15468/dl.gu9veg
title: Occurrence Download

description: A dataset containing 6523 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Dorcatoma Herbst, 1791",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 6523 records from 127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017316-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21989/d9/ezwzze/1esqjr
title: run.getbenecnt.routine.2017.sas
DOI: 10.21989/d9/ezwzze/x2ae3o
title: RunSupPPVars2017.sas
DOI: 10.21989/d9/ezwzze/3zfxv3
title: MPin.mac.sas
DOI: 10.21989/d9/ezwzze/ay2hn0
title: MostRecent.mac.sas
DOI: 10.21989/d9/ezwzze/ewucgu
title: GetEvents.mac.sas
DOI: 10.21989/d9/ezwzze/pww6sg
title: RunMort17.sas
DOI: 10.21989/d9/ezwzze/cfsy1l
title: ComputePostProcVars.sas
DOI: 10.21989/d9/ezwzze/mhkc8v
title: ClmSet2yr.mac.sas
DOI: 10.21989/d9/ezwzze/i8bysc
title: Make.Crude.Routine_Report.2017.sas
DOI: 10.21989/d9/ezwzze/gt4vu9
title: RunPartATotals.2017.sas
DOI: 10.21989/d9/ezwzze/eg5kpi
title: RiskLabels.mac.sas
DOI: 10.21989/d9/ezwzze/41cdcn
title: PPVars_PrepData.sas
DOI: 10.21989/d9/ezwzze/jgkktj
title: Crude_Annual.mac.sas
DOI: 10.21989/d9/ezwzze/0nic6e
title: GetGeoname.sas
DOI: 10.21989/d9/ezwzze/yr0neu
title: GetNatlIDName.sas
DOI: 10.21989/d9/ezwzze/ac4hab
title: Make.Linear.Routine_Report.2017.sas
DOI: 10.21989/d9/ezwzze/aj9jo1
title: run.linear.parta.totals.2017.sas
DOI: 10.21989/d9/ezwzze/14wphu
title: Make.Poisson.Routine_Report.2017.sas
DOI: 10.15468/dl.tfhq8p
title: Occurrence Download

description: A dataset containing 924 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((27.46821 47.08401,27.4903 47.05691,27.58506 47.04576,27.75256 47.04814,27.7903 47.07617,27.77268 47.21148,27.71409 47.28064,27.62844 47.29805,27.47347 47.29169,27.45849 47.22658,27.46821 47.08401))",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "Year 2023-2024"
 ]
}

 The dataset includes 924 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017319-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21989/d9/ezwzze/pyhkx9
title: SplitClm.mac.sas
DOI: 10.21989/d9/ezwzze/prwu3p
title: get.ndeaths.mac.sas
DOI: 10.21989/d9/ezwzze/3jjh3w
title: GetGeoCounts.sas
DOI: 10.21989/d9/ezwzze/jg2onv
title: AcuteFltr.mac.sas
DOI: 10.21989/d9/ezwzze/4sn0kt
title: PrepAreaDiff17.sas
DOI: 10.21989/d9/ezwzze/u0s5cg
title: MakePartACompRate.sas
DOI: 10.21989/d9/ezwzze/jjhbo1
title: RunPPVars2017.sas
DOI: 10.21989/d9/ezwzze/4bom3v
title: readme_EOLCD_overview_preliminary_steps.txt
DOI: 10.21989/d9/ezwzze/cbb2ho
title: MakePartATotals.sas
DOI: 10.21989/d9/ezwzze/23iiyd
title: Make.Area.Annual.DummyDiffs2017.sas
DOI: 10.21989/d9/ezwzze/xednui
title: export.multevents.mac.sas
DOI: 10.21989/d9/ezwzze/ntzgna
title: GetUStotICUDays.sas
DOI: 10.21989/d9/ezwzze/lzxayg
title: RunExpPPVars2017.sas
DOI: 10.21989/d9/ezwzze/mo20mx
title: RiskGrpsA.mac.sas
DOI: 10.21989/d9/ezwzze/d7ijc5
title: PostProcVars.sas
DOI: 10.21989/d9/ezwzze/xqpktw
title: Get.Events.Routine.Report.2017.sas
DOI: 10.21989/d9/ezwzze/xxzyh6
title: MakeMort100Cohort.mac.sas
DOI: 10.21989/d9/ezwzze/rvu3jk
title: Multiyear.mac.sas
DOI: 10.21989/d9/ezwzze/us2bkv
title: GetAreaDiffs.mac.sas
DOI: 10.21989/d9/ezwzze/aqlsbk
title: RunPartBSpend.2017.sas
DOI: 10.21989/d9/ezwzze/xvlap0
title: get.extra.spending.events.sas
DOI: 10.21989/d9/ezwzze/wbzqlj
title: Suppress_PPVars.sas
DOI: 10.21989/d9/ezwzze/rieb13
title: RunICUDays.2017.sas
DOI: 10.21989/d9/ezwzze/mi6ewl
title: GenMod_Poisson_Annual.mac.sas
DOI: 10.21989/d9/ezwzze/qzvptc
title: EOLXtract.mac.sas
DOI: 10.21989/d9/ezwzze/egctas
title: RunPartASpend.2017.sas
DOI: 10.21989/d9/ezwzze/pnty30
title: DenMrg.mac.sas
DOI: 10.21989/d9/ezwzze/3xz5co
title: BENECount.mac.sas
DOI: 10.21989/d9/ezwzze/bnrz8k
title: MakePartBCompRate.sas
DOI: 10.21989/d9/brnohi/gcfxrv
title: reintervention.R
DOI: 10.21989/d9/brnohi/5t30e3
title: additionalPlots.R
DOI: 10.15468/dl.pq9bsm
title: Occurrence Download

description: A dataset containing 1092 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Philoria sphagnicolus (Moore, 1958)"
 ]
}

 The dataset includes 1092 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017321-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.26nz8z
title: Occurrence Download

description: A dataset containing 1603 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Dorcatoma chrysomelina Sturm, 1837",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 1603 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017320-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21989/d9/1wkqsf
title: Steps to prepare specific HEDIS measures for AF4Q deliverable

description: At The Dartmouth Institute for Health Policy and Clinical Practice we have created a publicly available source of data providing researchers, payers, regulators, and innovators with metrics quantifying the temporal and regional patterns of health care spending and utilization, particularly with regard to the diffusion and exnovation of medical interventions. Atlas datasets can be found at https://atlasdata.dartmouth.edu/. Using CMS Medicare claims data (mostly for age &gt;64 enrollees), the SAS programs include steps to build cohorts (population files or 'denominators') and the many Atlas measures or events (numerators) which are then used to create sets of rates by geography primarily for longitudinal analysis to see trends in variation across time and place. Here, we are publishing the programs and accompanying documentation used to support the development of the Dartmouth Atlas rates.
DOI: 10.21989/d9/1wkqsf/kwaigq
title: NumHedisCad2013.sas
DOI: 10.21989/d9/1wkqsf/mgkakm
title: NumHEDIS_Driver.sas
DOI: 10.21989/d9/1wkqsf/q2tke1
title: README_AF4Q_HEDIS.txt
DOI: 10.21989/d9/1wkqsf/ulyrx3
title: NumHedis08Diab.sas
DOI: 10.21989/d9/1wkqsf/bulyr6
title: NumHedis16Diab.sas
DOI: 10.21989/d9/1wkqsf/bay3nv
title: DenCAD_and_More.sas
DOI: 10.21989/d9/1wkqsf/ao8eky
title: DenHEDIS_Driver.sas
DOI: 10.21989/d9/1wkqsf/hffctp
title: DenHEDIS16.sas
DOI: 10.21989/d9/1wkqsf/ls31ok
title: DenHEDIS08.sas
DOI: 10.21989/d9/nruwqg
title: Project: Standard Atlas Breast Cancer Screening (Mammography) Events (2009 data created for County Rankings report Fall 2011) (2008 data created for AF4Q Evaluation Group Spring 2012)

description: At The Dartmouth Institute for Health Policy and Clinical Practice we have created a publicly available source of data providing researchers, payers, regulators, and innovators with metrics quantifying the temporal and regional patterns of health care spending and utilization, particularly with regard to the diffusion and exnovation of medical interventions. Atlas datasets can be found at https://atlasdata.dartmouth.edu/. Using CMS Medicare claims data (mostly for age &gt;64 enrollees), the SAS programs include steps to build cohorts (population files or 'denominators') and the many Atlas measures or events (numerators) which are then used to create sets of rates by geography primarily for longitudinal analysis to see trends in variation across time and place. Here, we are publishing the programs and accompanying documentation used to support the development of the Dartmouth Atlas rates.
DOI: 10.21989/d9/nruwqg/z4h2jl
title: get.partb.sas
DOI: 10.21989/d9/nruwqg/r5sfkm
title: make.mam.events.sas
DOI: 10.21989/d9/nruwqg/0l6eqs
title: README_DOC_MAM6769_EVENTS.txt
DOI: 10.21989/d9/nruwqg/5bucdm
title: get.outpatient.sas
DOI: 10.21989/d9/nruwqg/6ns2jx
title: add.co.step1.icd10.sas
DOI: 10.21989/d9/nruwqg/ceqdh4
title: get.rvu.sas
DOI: 10.21989/d9/nruwqg/00dtas
title: DenPserv.sas
DOI: 10.21989/d9/6nfcpb
title: Better Care Coordination Report - Post-Discharge Events Trends in care coordination after hospitalization (post-discharge events) an Atlas/RWJ report

description: At The Dartmouth Institute for Health Policy and Clinical Practice we have created a publicly available source of data providing researchers, payers, regulators, and innovators with metrics quantifying the temporal and regional patterns of health care spending and utilization, particularly with regard to the diffusion and exnovation of medical interventions. Atlas datasets can be found at https://atlasdata.dartmouth.edu/. Using CMS Medicare claims data (mostly for age &gt;64 enrollees), the SAS programs include steps to build cohorts (population files or 'denominators') and the many Atlas measures or events (numerators) which are then used to create sets of rates by geography primarily for longitudinal analysis to see trends in variation across time and place. Here, we are publishing the programs and accompanying documentation used to support the development of the Dartmouth Atlas rates.
DOI: 10.21989/d9/6nfcpb/r48xqt
title: make.postB.sas
DOI: 10.21989/d9/6nfcpb/x6ve4v
title: make.100aoER.sas
DOI: 10.21989/d9/6nfcpb/3porpv
title: make.postA.sas
DOI: 10.21989/d9/6nfcpb/5ccoi4
title: update.finalindex.finalprov.sas
DOI: 10.21989/d9/6nfcpb/hddxe6
title: make.eventA.sas
DOI: 10.21989/d9/6nfcpb/muyhgr
title: README_POST_EVENTS_STEPS.txt
DOI: 10.21989/d9/6nfcpb/l1gv0h
title: make.cohortpts.sas
DOI: 10.21989/d9/6nfcpb/janel0
title: make.eventBO.sas
DOI: 10.21989/d9/6nfcpb/o57vpa
title: README_FINALPROV_XWALKS.txt
DOI: 10.21989/d9/6nfcpb/iy9quf
title: add.co.step1.sas
DOI: 10.21989/d9/6nfcpb/62os9y
title: make.postO.sas
DOI: 10.21989/d9/6nfcpb/d5nm7j
title: update.finalindex.addgeo.sas
DOI: 10.21989/d9/6nfcpb/lhmkgg
title: make.spending.sas
DOI: 10.15468/dl.eezqst
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Mizodorcatoma dommeri (Rosenhauer, 1856)",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 28 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017322-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21989/d9/6nfcpb/3pwr3b
title: make.MORT.sas
DOI: 10.21989/d9/6nfcpb/rikecg
title: add.co.step2.sas
DOI: 10.21989/d9/zbj3tf
title: Create underlying hospital utilization rates for post-discharge event report

description: At The Dartmouth Institute for Health Policy and Clinical Practice we have created a publicly available source of data providing researchers, payers, regulators, and innovators with metrics quantifying the temporal and regional patterns of health care spending and utilization, particularly with regard to the diffusion and exnovation of medical interventions. Atlas datasets can be found at https://atlasdata.dartmouth.edu/. Using CMS Medicare claims data (mostly for age &gt;64 enrollees), the SAS programs include steps to build cohorts (population files or 'denominators') and the many Atlas measures or events (numerators) which are then used to create sets of rates by geography primarily for longitudinal analysis to see trends in variation across time and place. Here, we are publishing the programs and accompanying documentation used to support the development of the Dartmouth Atlas rates.
DOI: 10.21989/d9/zbj3tf/qjlzy2
title: DenUtil.sas
DOI: 10.21989/d9/zbj3tf/wrpmhs
title: cohort.defs.mac.sas
DOI: 10.21989/d9/zbj3tf/bmnkxm
title: README_UNDERLYING_UTIL_RATES.txt
DOI: 10.21989/d9/zbj3tf/ih3aug
title: README_UTIL_MORT_RATES.txt
DOI: 10.21989/d9/zbj3tf/kmo64d
title: get.medpar.sas
DOI: 10.21989/d9/zbj3tf/yqmvtc
title: event.sx.defs.mac.sas
DOI: 10.21989/d9/zbj3tf/sni7oq
title: make.surgical.events.sas
DOI: 10.21989/d9/zbj3tf/e1t2vz
title: claim.defs.mac.sas
DOI: 10.21989/d9/zbj3tf/0wt6xp
title: event.defs.mac.sas
DOI: 10.21989/d9/zbj3tf/aw0kj5
title: make.util.mort.sas
DOI: 10.21989/d9/zbj3tf/312xbt
title: make.newfilter.af4q.sas
DOI: 10.21989/d9/zbj3tf/1oixqb
title: rates.util.mort.sas
DOI: 10.21989/d9/u2ylzy
title: 1992-2016 Good Hospital Matrix

description: One of the challenges in conducting longitudinal data analysis on Medicare data is to compare patterns of care among hospitals over time, as in the course of one or many years, hospitals can: merge, split into multiple entities, close altogether, new hospitals can open, or they can change into long-term care facilities. Each year, the Atlas team creates a master hospital cross-reference resource file that lists the number of beds, discharges, and various other fields from 1992 through the most recent year of data for each provider (provider is used as a synonym of hospital in the CMS files). From this master resource file, a Hospital Transition Matrix is created indicating changes in provider ID over time. This master file includes short-stay hospitals, long-term, psych and rehab hospitals and excludes Skilled Nursing Facilities (SNFs), VA and other federal institutions and non-US providers.
DOI: 10.21989/d9/u2ylzy/igomru
title: HospitalReport2016.7z
DOI: 10.21989/d9/u2ylzy/oippkv
title: GoodHospitalUpdater.sas
DOI: 10.21989/d9/u2ylzy/godiv1
title: good_hospital.pdf
DOI: 10.6084/m9.figshare.27117897
title: Antidepressant medications in women aged 40 and older and the risk of fragility fractures: a systematic literature review and meta-analysis

description: Antidepressants and menopause are risk factors which are independently associated with an increased risk of fractures. This review aims to investigate the risk of fragility fractures in women aged 40 and older and prescribed antidepressants. A literature search was conducted using PubMed, Ovid Embase, Ovid PsychINFO, Web of Science, and Scopus from inception to 1 June 2024. Relevant citations were identified and screened against our inclusion/exclusion criteria. The study population comprised women over 40 years. The risk of fragility fractures was compared between users and non-users of antidepressants. Risk of bias assessment was carried out using the ROBINS-I tool. A meta-analysis of cohort studies was performed to assess fracture risk associated with prescribing of any antidepressant agents, and SSRIs specifically. Of the 3,676 articles retrieved, five observational studies were found eligible for inclusion (<i>n</i> = 1,240,354). In a meta-analysis of 4 studies, an increased risk of fractures in women was associated with the prescribing of antidepressants (HR = 1.62, 95% CI: 1.15–2.28; I<sup>2</sup> = 96.50%) and SSRIs in particular (HR = 1.36, 95% CI: 1.20–1.55; I<sup>2</sup> = 40.32%). Findings from this review suggest that prescribing of antidepressants is associated with an increased risk of fractures in women aged 40 and older. Substantial heterogeneity between studies may have affected the results of the meta-analysis.
DOI: 10.6084/m9.figshare.27117897.v1
title: Antidepressant medications in women aged 40 and older and the risk of fragility fractures: a systematic literature review and meta-analysis

description: Antidepressants and menopause are risk factors which are independently associated with an increased risk of fractures. This review aims to investigate the risk of fragility fractures in women aged 40 and older and prescribed antidepressants. A literature search was conducted using PubMed, Ovid Embase, Ovid PsychINFO, Web of Science, and Scopus from inception to 1 June 2024. Relevant citations were identified and screened against our inclusion/exclusion criteria. The study population comprised women over 40 years. The risk of fragility fractures was compared between users and non-users of antidepressants. Risk of bias assessment was carried out using the ROBINS-I tool. A meta-analysis of cohort studies was performed to assess fracture risk associated with prescribing of any antidepressant agents, and SSRIs specifically. Of the 3,676 articles retrieved, five observational studies were found eligible for inclusion (<i>n</i> = 1,240,354). In a meta-analysis of 4 studies, an increased risk of fractures in women was associated with the prescribing of antidepressants (HR = 1.62, 95% CI: 1.15–2.28; I<sup>2</sup> = 96.50%) and SSRIs in particular (HR = 1.36, 95% CI: 1.20–1.55; I<sup>2</sup> = 40.32%). Findings from this review suggest that prescribing of antidepressants is associated with an increased risk of fractures in women aged 40 and older. Substantial heterogeneity between studies may have affected the results of the meta-analysis.
DOI: 10.21989/d9/hhderp/w05kyp
title: prg2_formats_v1.sas
DOI: 10.21989/d9/hhderp/jje0s3
title: BarChart.sas
DOI: 10.21989/d9/hhderp/icamvt
title: KP12Month.sas
DOI: 10.21989/d9/hhderp/wb7wty
title: formats.sas
DOI: 10.21989/d9/hhderp/t61ted
title: DH12Month.sas
DOI: 10.21989/d9/hhderp/dna275
title: DHConsent.sas
DOI: 10.21989/d9/hhderp/60ss7n
title: Demo.sas
DOI: 10.21989/d9/hhderp/1jdddt
title: FollowUp.sas
DOI: 10.21989/d9/hhderp/t4lcba
title: IncreaseDecrease.sas
DOI: 10.21989/d9/hhderp/9nxykh
title: promis.sas
DOI: 10.21989/d9/hhderp/hbacc6
title: readme_jacm_paper.txt
DOI: 10.21989/d9/hhderp/kesbwx
title: KPConsent.sas
DOI: 10.15468/dl.yfez9f
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cophyla karenae (Rosa, Crottini, Noël, Rabibisoa, Raxworthy & Andreone, 2014))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060225-230224095556074/datasets/export for details.
DOI: 10.25549/pcra-c14-41683
title: Redemption tidings, vol. 7, nos. 1-12, Jan.-Dec. 1931

description: [description english/roman)] Issued monthly. "A full gospel magazine for all believers" -- subtitle. Bound with vol. 8-9. Includes Missionary supplement to Redemption tidings in each issue (Jan.-Dec. 1931).
DOI: 10.15468/dl.pqqwdr
title: Occurrence Download

description: A dataset containing 1223 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Calceolaria mexicana Benth.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1223 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015585-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8c9quy
title: Occurrence Download

description: A dataset containing 1707033 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Luxembourg)",
 "BasisOfRecord is one of (Observation, Human Observation, Material sample, Literature Occurrence, Specimen, Unknown evidence, Machine Observation)",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2021",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1707033 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0144311-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-42210
title: Redemption tidings, vol. 9, nos. 1-12, Jan.-Dec. 1933

description: [description english/roman)] Issued monthly. "A full gospel magazine for all believers" -- subtitle. Bound with vol. 7-8. Includes Missionary supplement to Redemption tidings in each issue (Jan.-Dec. 1933).
DOI: 10.15468/dl.ugdpsf
title: Occurrence Download

description: A dataset containing 463 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Asclepias lanuginosa Nutt."
 ]
}

 The dataset includes 463 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060232-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uw8rpk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ansonia vidua Hertwig, Min, Haas & Das, 2014)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060090-230224095556074/datasets/export for details.
DOI: 10.25549/pcra-c14-42276
title: Redemption tidings, vol. 9, nos. 1-12, Jan.-Dec. 1933

description: [description english/roman)] Issued monthly. "A full gospel magazine for all believers" -- subtitle. Bound with vol. 7-8. Includes Missionary supplement to Redemption tidings in each issue (Jan.-Dec. 1933).