cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.35078/f016oy/wvnzsi
title: Valinhos A.jpg

description: :unav
DOI: 10.35078/mglooj/njtvkm
title: Curtume B.jpg

description: :unav
DOI: 10.35078/pwrujs/qm1gqd
title: Januário Bonito A.jpg

description: :unav
DOI: 10.35078/mglooj/ftehpr
title: Bateia A.jpg

description: :unav
DOI: 10.35078/f016oy/8gbojz
title: Ponta Grande A.jpg

description: :unav
DOI: 10.35078/pwrujs/2ssojm
title: Córrego da Roça B.jpg

description: :unav
DOI: 10.35078/mglooj/mzzpkn
title: DICIONARIO_KARDEX_PROGRAMA_CONTROLE_DOENÇA_CHAGAS.pdf

description: Dicionário para interpretação da ficha epidemiologica (Kardex)
DOI: 10.35078/f016oy/r4ynkg
title: Jerônimo Borges A.jpg

description: :unav
DOI: 10.35078/pwrujs/uw2wa2
title: Barra II.A.jpg

description: :unav
DOI: 10.35078/f016oy/h6itrj
title: Córrego do Pinto B.jpg

description: :unav
DOI: 10.35078/pwrujs/dclsci
title: Pantaninho II.A.jpg

description: :unav
DOI: 10.35078/f016oy/ojjbi4
title: Santa Fé B.jpg

description: :unav
DOI: 10.35078/pwrujs/lmfhie
title: Porto Feliz B.jpg

description: :unav
DOI: 10.35078/f016oy/p83wok
title: Quenta Sol A.jpg

description: :unav
DOI: 10.35078/pwrujs/joowot
title: Canoas A.jpg

description: :unav
DOI: 10.35078/f016oy/dznxnk
title: Gameleira A.jpg

description: :unav
DOI: 10.35078/pwrujs/irhsd2
title: Nico Baiano B.jpg

description: :unav
DOI: 10.35078/f016oy/0w8urx
title: Ermes Alves Borges B.jpg

description: :unav
DOI: 10.35078/pwrujs/zey3yu
title: Barreirinho I.A.jpg

description: :unav
DOI: 10.35078/f016oy/5yteef
title: Cachoeira B.jpg

description: :unav
DOI: 10.35078/pwrujs/woopus
title: Januário de Freitas A.jpg

description: :unav
DOI: 10.35078/f016oy/zdoh7y
title: Mangabeira B.jpg

description: :unav
DOI: 10.35078/pwrujs/a3bclw
title: Barretos B.jpg

description: :unav
DOI: 10.35078/f016oy/895bht
title: Santa Helena A.jpg

description: :unav
DOI: 10.35078/pwrujs/nau5uy
title: Girassol A.jpg

description: :unav
DOI: 10.35078/f016oy/rkrbf5
title: Joaquim Lourenço Menezes B.jpg

description: :unav
DOI: 10.35078/pwrujs/h65lkh
title: Olhos D'Água A.A.jpg

description: :unav
DOI: 10.35078/f016oy/bbcchg
title: Lagarto B.jpg

description: :unav
DOI: 10.35078/pwrujs/wnkdrm
title: Catingueiro A.jpg

description: :unav
DOI: 10.35078/f016oy/ab2hgw
title: Mateira B.jpg

description: :unav
DOI: 10.35078/pwrujs/oixr4y
title: São Francisco A.jpg

description: :unav
DOI: 10.35078/f016oy/cgocke
title: Mimoso B.jpg

description: :unav
DOI: 10.35078/pwrujs/s45zt0
title: Dourados A.jpg

description: :unav
DOI: 10.35078/f016oy/8rb54x
title: Bananal B.jpg

description: :unav
DOI: 10.35078/pwrujs/tw8f5b
title: Arapuá A.jpg

description: :unav
DOI: 10.35078/f016oy/jyhf85
title: Jaguara A.jpg

description: :unav
DOI: 10.35078/pwrujs/dzzmg2
title: Olaria A.B.jpg

description: :unav
DOI: 10.35078/f016oy/cxkw9m
title: Jerônimo Valeriano A.jpg

description: :unav
DOI: 10.35078/pwrujs/ftrl9t
title: Luz B.jpg

description: :unav
DOI: 10.35078/f016oy/gctjwp
title: Gameleira B.jpg

description: :unav
DOI: 10.35078/pwrujs/opigor
title: Laranjeira B.jpg

description: :unav
DOI: 10.35078/f016oy/qmwdmi
title: Posses B.jpg

description: :unav
DOI: 10.35078/f016oy/aunotp
title: Cascalho B.jpg

description: :unav
DOI: 10.35078/pwrujs/burkvw
title: Retiro B.jpg

description: :unav
DOI: 10.35078/pwrujs/iyj7df
title: Sucurí A.jpg

description: :unav
DOI: 10.35078/f016oy/qtjkaq
title: Brocotó A.jpg

description: :unav
DOI: 10.35078/f016oy/8hszgr
title: Água Limpa A.jpg

description: :unav
DOI: 10.35078/pwrujs/0hkelu
title: Mangava B.jpg

description: :unav
DOI: 10.35078/f016oy/hwwvt9
title: Orlando Pereira B.jpg

description: :unav
DOI: 10.35078/pwrujs/unpiuk
title: Santa Maria II.A.jpg

description: :unav
DOI: 10.35078/f016oy/h4slfm
title: Belarminos B.jpg

description: :unav
DOI: 10.35078/pwrujs/fo0lvi
title: Ribeirão do Canal B.jpg

description: :unav
DOI: 10.35078/f016oy/oc4u4j
title: Osvaldo Fajardo Mello A.jpg

description: :unav
DOI: 10.35078/pwrujs/rwcjy4
title: Dantas B.jpg

description: :unav
DOI: 10.35078/f016oy/ahvrwf
title: José Jerônimo Madalena A.jpg

description: :unav
DOI: 10.35078/pwrujs/3wgjq5
title: Varjãozinho Faz.B.jpg

description: :unav
DOI: 10.35078/f016oy/j1opog
title: Ibituruna A.jpg

description: :unav
DOI: 10.35078/pwrujs/ts1fxj
title: Carrapato A.jpg

description: :unav
DOI: 10.35078/f016oy/vgtnbh
title: Pedro Zandonaide A.jpg

description: :unav
DOI: 10.35078/pwrujs/3v6dtk
title: João Quirino B.jpg

description: :unav
DOI: 10.35078/f016oy/a1mxpm
title: Bráulios B.jpg

description: :unav
DOI: 10.35078/pwrujs/mam6xe
title: Mato Largo B.jpg

description: :unav
DOI: 10.35078/f016oy/io0hp2
title: Dalva Cândida de Melo A.jpg

description: :unav
DOI: 10.35078/pwrujs/pzssvi
title: Pororoca A.jpg

description: :unav
DOI: 10.35078/f016oy/vzo1oa
title: Córrego da Loca B.jpg

description: :unav
DOI: 10.35078/pwrujs/zkt4e9
title: Divisa B.A.jpg

description: :unav
DOI: 10.35078/f016oy/r74npn
title: Baixada B.jpg

description: :unav
DOI: 10.35078/pwrujs/ovmnk2
title: Balsamo B.jpg

description: :unav
DOI: 10.35078/f016oy/opqgpd
title: Córrego Marimbondinho B.jpg

description: :unav
DOI: 10.35078/pwrujs/odxylh
title: Floresta B.jpg

description: :unav
DOI: 10.35078/f016oy/0pvisy
title: Dary Afonso Prado B.jpg

description: :unav
DOI: 10.35078/pwrujs/2bbv7h
title: Pantaninho II.B.jpg

description: :unav
DOI: 10.35078/f016oy/rgfm8d
title: Osvaldo Leite A.jpg

description: :unav
DOI: 10.35078/pwrujs/pxukgk
title: José Alexandre B.jpg

description: :unav
DOI: 10.35078/f016oy/u7lpuo
title: Osvaldo Borges Araújo Faz.B.jpg

description: :unav
DOI: 10.35078/f016oy/qu0mzs
title: Braz Fajardo de Melo A.jpg

description: :unav
DOI: 10.35078/pwrujs/ojnbrj
title: Jerônimo Toste B.jpg

description: :unav
DOI: 10.35078/f016oy/zrjuo7
title: José Gaspar Borges B.jpg

description: :unav
DOI: 10.35078/pwrujs/2jqdys
title: Tombadouro A.jpg

description: :unav
DOI: 10.35078/f016oy/shyd24
title: Jaguarinha B.jpg

description: :unav
DOI: 10.35078/pwrujs/c9vueu
title: São Jerônimo D.B.jpg

description: :unav
DOI: 10.35078/f016oy/jtof3i
title: Santo Antônio Vila.B.jpg

description: :unav
DOI: 10.35078/pwrujs/kdqvs4
title: Coriango B.jpg

description: :unav
DOI: 10.35078/pwrujs/puqysc
title: Rondinha B.jpg

description: :unav
DOI: 10.35078/f016oy/enygib
title: Córrego do Borá B.jpg

description: :unav
DOI: 10.35078/f016oy/i7ibkh
title: Pedro Gomes Menezes A.jpg

description: :unav
DOI: 10.35078/pwrujs/ocw8qv
title: Embaúba B.jpg

description: :unav
DOI: 10.35078/f016oy/iypz9l
title: Bráulios A.jpg

description: :unav
DOI: 10.35078/pwrujs/sr3uqe
title: Bela Vista A.B.jpg

description: :unav
DOI: 10.35078/f016oy/f0y7vd
title: Lagoa dos Esteios A.jpg

description: :unav
DOI: 10.35078/pwrujs/9vnrzo
title: Queixada B.jpg

description: :unav
DOI: 10.35078/f016oy/vqhpva
title: Bonito A.jpg

description: :unav
DOI: 10.35078/pwrujs/guy4hr
title: Tanque B.jpg

description: :unav
DOI: 10.35078/f016oy/da8mpc
title: Mumbuca B.jpg

description: :unav
DOI: 10.35078/pwrujs/r8l1f8
title: Bela Vista B.A.jpg

description: :unav
DOI: 10.35078/f016oy/vshuxa
title: José Gomes Menezes D.jpg

description: :unav
DOI: 10.35078/pwrujs/18jved
title: São Bento II.A.jpg

description: :unav
DOI: 10.35078/f016oy/vywlgb
title: José Urias A.jpg

description: :unav
DOI: 10.35078/pwrujs/exckbk
title: Brasil B.jpg

description: :unav
DOI: 10.35078/f016oy/hmxnuh
title: Operadores A.jpg

description: :unav
DOI: 10.35078/pwrujs/rukbc5
title: Brejinho B.jpg

description: :unav
DOI: 10.5066/p950e9gh
title: High-resolution maps of historical and 21st century ecological drought metrics using multivariate matching algorithms for drylands of western U.S. and Canada

description: These data were compiled using a new multivariate matching algorithm that transfers simulated soil moisture conditions (Bradford et al. 2020) from an original 10-km resolution to a 30-arcsec spatial resolution. Also, these data are a supplement to a previously published journal article (Bradford et al., 2020) and USGS data release (Bradford and Schlaepfer, 2020). The objectives of our study were to (1) characterize geographic patterns in ecological drought under historical climate, (2) quantify the direction and magnitude of projected responses in ecological drought under climate change, (3) identify areas and drought metrics with projected changes that are robust across climate models for a representative set of climate scenarios. These data represent geographic patterns in simulated ecological drought metrics based on SOILWAT2 simulations under climate conditions representing historical (current) time period (1980-2010) and two future projected time periods (2020-2050, d40yrs) and (2070-2100, d90yrs) for two representative concentration pathways (RCP4.5, RCP8.5) as medians across simulation runs based on output from each of the available downscaled global circulation models that participated in CMIP5 (RCP4.5, 37 GCMs; RCP8.5, 35 GCMs; Maurer et al. 2007). Additional information about the setup of SOILWAT2 simulation experiments can be found in Bradford et al. 2020. These data were created in 2020 and 2021 for the area of the sagebrush region in the western North America. These data were created by a collaborative research project between the U.S. Geological Survey and Yale University. These data can be used with the high-resolution matching algorithm (Renne et al., 202X), within the scope of Bradford et al. 2020, and as defined by the study. These data may also be used to evaluate the potential impact of changing climate conditions on robust ecological drought metrics within the scope defined by the study.
DOI: 10.35078/f016oy/jdnrvt
title: Serra Azul A.jpg

description: :unav
DOI: 10.35078/pwrujs/gbwoim
title: Lagoa da Cobra A.jpg

description: :unav
DOI: 10.35078/f016oy/krxhfo
title: Lagoa dos Honórios B.jpg

description: :unav
DOI: 10.35078/f016oy/lcl2xw
title: Santo Antônio A.A.jpg

description: :unav
DOI: 10.35078/pwrujs/rw8zn1
title: Sucurí B.jpg

description: :unav
DOI: 10.35078/pwrujs/ysgype
title: Embaúba A.jpg

description: :unav
DOI: 10.35078/f016oy/jiwtze
title: Perpétuo Socorro- Vila.A.jpg

description: :unav
DOI: 10.35078/pwrujs/s6asjv
title: Carrapato B.jpg

description: :unav
DOI: 10.35078/f016oy/vh6ohb
title: Cabeceira do Borá B.jpg

description: :unav
DOI: 10.35078/pwrujs/xrwgcy
title: Vicente Bonito B.jpg

description: :unav
DOI: 10.35078/f016oy/f8oqjk
title: Jaguaribé A.jpg

description: :unav
DOI: 10.35078/pwrujs/qlobrw
title: Signorelli B.jpg

description: :unav
DOI: 10.35078/f016oy/06nfdp
title: Pedro Batista Honório B.jpg

description: :unav
DOI: 10.35078/pwrujs/snmhmg
title: Alvorada A.jpg

description: :unav
DOI: 10.35078/f016oy/csojki
title: Amado Amancio de Melo B.jpg

description: :unav
DOI: 10.35078/f016oy/soc5yl
title: Américo Cardoso A.jpg

description: :unav
DOI: 10.35078/pwrujs/ceg6hc
title: Bebedouro I.B.jpg

description: :unav
DOI: 10.35078/f016oy/mneskd
title: Jaboticabal B.jpg

description: :unav
DOI: 10.35078/pwrujs/u9xxeh
title: Sassafrás B.jpg

description: :unav
DOI: 10.35078/pwrujs/qx6ucn
title: Santa Maria I.B.jpg

description: :unav
DOI: 10.35078/f016oy/9eflc5
title: Moreiras A.jpg

description: :unav
DOI: 10.35078/pwrujs/aapeue
title: Barreirinho I.B.jpg

description: :unav
DOI: 10.35078/f016oy/ldpqqb
title: Perpétuo Socorro- Vila.B.jpg

description: :unav
DOI: 10.35078/f016oy/pqpqdf
title: Acampamento Resa A.jpg

description: :unav
DOI: 10.35078/pwrujs/jmmwxt
title: Borá A.jpg

description: :unav
DOI: 10.35078/pwrujs/tbsssa
title: Retirinho A.jpg

description: :unav
DOI: 10.35078/f016oy/054pih
title: Pedroso A.jpg

description: :unav
DOI: 10.35078/pwrujs/rl8pon
title: João Quirino A.jpg

description: :unav
DOI: 10.35078/pwrujs/s17zq6
title: Ribeirão Velho A.jpg

description: :unav
DOI: 10.35078/f016oy/nyr2yf
title: Santa Bárbara A.jpg

description: :unav
DOI: 10.35078/pwrujs/jruoiq
title: Arapuazinho A.jpg

description: :unav
DOI: 10.35078/f016oy/wskkbi
title: Triângulo B.jpg

description: :unav
DOI: 10.60893/figshare.apl.28695794
title: Supplementary Material for Superconducting Microwave Oscillators as Detectors for ESR Spectroscopy

description: PDF file containing all supplementary material and Figures
DOI: 10.60893/figshare.apl.28695794.v1
title: Supplementary Material for Superconducting Microwave Oscillators as Detectors for ESR Spectroscopy

description: PDF file containing all supplementary material and Figures
DOI: 10.15468/dl.axtyaf
title: Occurrence Download

description: A dataset containing 180 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Acer negundo L., Ailanthus altissima (Mill.) Swingle, Amaranthus retroflexus L., Ambrosia artemisiifolia L., Amorpha fruticosa L., Asclepias syriaca L., Bidens subalternans DC., Chenopodium album L., Commelina communis L., Cuscuta campestris Yunck., Echinocystis lobata (Michx.) Torr. & A.Gray, Erigeron bonariensis L., Erigeron canadensis L., Helianthus tuberosus L., Impatiens glandulifera Royle, Ipomoea purpurea (L.) Roth, Lepidium draba L., Luzula campestris (L.) DC., Medicago sativa L., Morus alba L., Parthenocissus quinquefolia (L.) Planch., Paspalum distichum L., Reynoutria japonica Houtt., Robinia pseudoacacia L., Salsola tragus L., Solanum elaeagnifolium Cav., Solidago canadensis L., Sporobolus indicus (L.) R.Br., Symphyotrichum novi-belgii (L.) G.L.Nesom)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Country is one of (Montenegro)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 180 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021298-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.byeu76
title: Occurrence Download

description: A dataset containing 29824 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Leptinotarsa decemlineata (Say, 1824)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 29824 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083449-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vab84u
title: Occurrence Download

description: A dataset containing 8150 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Sesia apiformis (Clerck, 1759)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 8150 records from 201 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083450-240626123714530/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.26122543
title: Synthetic Design-Related Data Generated by LLMs

description: To produce a domain-specific dataset, GPT-4 is assigned the role of an engineering design expert. Furthermore, the ontology, which signifies the design process and design entities, is integrated into the prompts to label the synthetic dataset and enhance the GPT model's grasp of the conceptual design process and domain-specific knowledge. Additionally, the CoT prompting technique compels the GPT models to clarify their reasoning process, thereby fostering a deeper understanding of the tasks.
DOI: 10.15468/dl.bttvuw
title: Occurrence Download

description: A dataset containing 29824 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Leptinotarsa decemlineata (Say, 1824)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 29824 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083451-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wedwhj
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trogoderma granarium Everts, 1898)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1900",
 "BasisOfRecord is one of (Specimen)",
 "Country is one of (United States of America)",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than or equal to 1e+06",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083452-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5y8yrm
title: Occurrence Download

description: A dataset containing 2221 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Sesia bembeciformis (Hübner, 1803-1806)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 2221 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083453-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8msa6w
title: Occurrence Download

description: A dataset containing 29824 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Leptinotarsa decemlineata (Say, 1824)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 29824 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083454-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5st7f82h
title: MassIVE MSV000095690 - Alexandria,G-MING-JLB-D-24-00098
title: Raw mass spectrum files in a non-standard (.raw) and standardized format (.mzXML) for shotgun proteomics of the neutrophil granules using the MING method.
DOI: 10.15468/dl.2nt4du
title: Occurrence Download

description: A dataset containing 15165507 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Month is July",
 "Year 2023-2024"
 ]
}

 The dataset includes 15165507 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083444-240626123714530/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.24309883
title: DesignData.csv

description: This dataset comprises data sourced from design reports originating from the AME410 design course at the University of Southern California (USC).
DOI: 10.6084/m9.figshare.24309883.v2
title: DesignData.csv

description: This dataset comprises data sourced from design reports originating from the AME410 design course at the University of Southern California (USC).
DOI: 10.6084/m9.figshare.24309883.v1
title: data.csv

description: This dataset comprises data sourced from design reports originating from the AME410 design course at the University of Southern California (USC).
DOI: 10.15468/dl.4x3mwc
title: Occurrence Download

description: A dataset containing 29824 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Leptinotarsa decemlineata (Say, 1824)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 29824 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083456-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qp6993
title: Occurrence Download

description: A dataset listing the 9469 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Month is July",
 "Year 2023-2024"
 ]
}

 The dataset's 9469 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083447-240626123714530/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.26824399
title: Primary Survey Data in the MRT

description: <b>Background</b>The Indonesian government built the Mass Rapid Transit (MRT) in Jakarta to reduce traffic congestion and carbon dioxide (CO<sub>2</sub>) emissions. The objective of this study is to estimate the CO<sub>2</sub> emissions reductions from switching from private transport to MRT by using a methodology proposed by the United Nations Convention on Climate Change (UNFCCC) for developing countries, namely the Clean Development Mechanism (CDM) methodology, which generates Certified Emission Reductions (CERs). This methodology is more comprehensive than other available methodologies. However, this method has not been widely used to calculate greenhouse gas (GHG) emission reductions in mass transit projects because it is complex enough to require a lot of data based on primary surveys. Therefore, this research simplifies the CDM formula to make it easier and applicable in Indonesia.<b>Methods</b>The primary data were collected using a questionnaire distributed to 480 MRT Jakarta Phase 1 user respondents in September 2019 (baseline); the secondary data were obtained from The MRT Jakarta. The data were processed using IBM SPSS Statistics 27. The simplified Clean Development Mechanism Approved Consolidated Methodology 0016 (CDM ACM 0016) was the analysis method used<b>Result</b>The results of this study indicate that 53.75% of MRT Jakarta Phase 1 users are shifting from private transportation, which has reduced CO<sub>2</sub> emissions by 2,732.7 tons in 2019 and 6,043.9 tons in 2023. Increasing the number of MRT passengers who switch from private transportation will further reduce CO<sub>2</sub> emissions.<b>Conclusion and implications</b>The simplified CDM ACM 0016 formula may be suitable for use in Indonesia. This would enable the measurement of CO₂ emission reductions through mitigation actions through MRT development to be certified by the UNFCCC. Applying this method in calculating CO₂ emission reductions, implementing strategies to increase MRT passengers, and using renewable energy electricity sources would increase CO₂ emission reductions.