cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/q023hf/ybavpw
title: T5_trimmedobs_nonworkdays-2.xls

description: :unav
DOI: 10.7910/dvn/q023hf/yipe84
title: T5_Labor_work_workerfe_trimb-2.xls

description: :unav
DOI: 10.7910/dvn/q023hf/cygtex
title: temp-1.tab

description: :unav
DOI: 10.7910/dvn/q023hf/frbppl
title: wages_health_worker_fitbit_generated_public-1.tab

description: :unav
DOI: 10.7910/dvn/x4euko/dg3wnp
title: whobenefitsreplication.do

description: Code
DOI: 10.7910/dvn/x4euko/twjeqc
title: whobenefitsreplication.tab

description: Dataset
DOI: 10.5281/zenodo.13850413
title: Neural Network and objective analysis reconstruction of 3D Mediterranean physical fields from surface satellite and in situ observations at 1/24 deg

description: Daily Mediterranean 3D fields of temperature, salinity and geostrophic current at 1/24° of resolution, up to 150m-depth and from 2016 to mid 2022, obtained through a 3 steps approach: (1) Temperature and salinity 3D fields have been first estimated by a machine learning approach by using mediterranean reanalysis outputs (https://doi.org/10.25423/CMCC/MEDSEA_MULTIYEAR_PHY_006_004_E3R) together with satellite observations, (2) a combination of this first step with in situ observations through an Optimal interpolation to remove part of large scale biases, (3) the computation of geostrophic currents using the thermal wind equation. This work has been funded by the European Space Agency through the 4DMED-SEA project [ESA contract No. 4000141547/23/I-DT].
DOI: 10.5281/zenodo.13862240
title: Neural Network and objective analysis reconstruction of 3D Mediterranean physical fields from surface satellite and in situ observations at 1/24 deg

description: Daily Mediterranean 3D fields of temperature, salinity and geostrophic current at 1/24° of resolution, up to 150m-depth and from 2016 to mid 2022, obtained through a 3 steps approach: (1) Temperature and salinity 3D fields have been first estimated by a machine learning approach by using mediterranean reanalysis outputs (https://doi.org/10.25423/CMCC/MEDSEA_MULTIYEAR_PHY_006_004_E3R) together with satellite observations, (2) a combination of this first step with in situ observations through an Optimal interpolation to remove part of large scale biases, (3) the computation of geostrophic currents using the thermal wind equation. This work has been funded by the European Space Agency through the 4DMED-SEA project [ESA contract No. 4000141547/23/I-DT].
DOI: 10.5281/zenodo.13969340
title: Neural Network and objective analysis reconstruction of 3D Mediterranean physical fields from surface satellite and in situ observations at 1/24 deg

description: Daily Mediterranean 3D fields of temperature, salinity and geostrophic current at 1/24° of resolution, up to 150m-depth and from 2016 to mid 2022, obtained through a 3 steps approach: (1) Temperature and salinity 3D fields have been first estimated by a machine learning approach by using mediterranean reanalysis outputs (https://doi.org/10.25423/CMCC/MEDSEA_MULTIYEAR_PHY_006_004_E3R) together with satellite observations, (2) a combination of this first step with in situ observations through an Optimal interpolation to remove part of large scale biases, (3) the computation of geostrophic currents using the thermal wind equation. This work has been funded by the European Space Agency through the 4DMED-SEA project [ESA contract No. 4000141547/23/I-DT].
DOI: 10.7910/dvn/4lwc1r/apnb6n
title: KollmanWorthingtonPartySystemsManuscript.do

description: Do file for replicating the summary tables and results presented in manuscript.
DOI: 10.7910/dvn/4lwc1r/nrdzb2
title: KollmanWorthingtonPartySystems.tab

description: Prepared dataset for replication of manuscript and appendix.
DOI: 10.7910/dvn/mkygsi/ntatpu
title: Clear Fact and Opinion_April 1, 2020_12.57.tab

description: :unav
DOI: 10.15468/dl.j8wfpy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salamandra salamandra (Linnaeus, 1758)",
 "CoordinateUncertaintyInMeters is less than 1000",
 "Country is Portugal"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029539-241007104925546/datasets/export for details.
DOI: 10.7910/dvn/vyjo3a/hq3vzu
title: Fact vs Opinion_April 1, 2020_13.02.tab

description: :unav
DOI: 10.7910/dvn/9lgiku/ekgoyy
title: 1. 2018_SA_BDS_KHU_Questions_Codified.xls

description: :unav
DOI: 10.7910/dvn/9lgiku/qzwdan
title: 2. 2018_SA_BDS_KHU_Questions_Tree.pdf

description: :unav
DOI: 10.7910/dvn/9lgiku/f0xxtk
title: 5. 2018_SA_BDS_KHU_PROTOCOL OF CLEANING AND PREPARATION OF DATA FOR ANALYSIS.pdf

description: :unav
DOI: 10.7910/dvn/9lgiku/j342z0
title: 7. 2018_SA_BDS_KHU_IRB_Approval_Letter.pdf

description: :unav
DOI: 10.7910/dvn/9lgiku/jvbhzb
title: 4. 2018_SA_BDS_KHU_Inform_Consents.pdf

description: :unav
DOI: 10.7910/dvn/9lgiku/l3klpp
title: 3. 2018_SA_BDS_KHU_Glossary_Main_CSA_practices.pdf

description: :unav
DOI: 10.7910/dvn/9lgiku/ridxp2
title: 6. 2018_SA_BDS_KHU_Minimum_Risk_Review_Application.pdf

description: :unav
DOI: 10.7910/dvn/9lgiku/hbkkix
title: BGL-Khulna_FC_237_data_2018.xls

description: :unav
DOI: 10.7910/dvn/9lgiku/jeo8zp
title: 8. 2018_SA_BDS_KHU_Enumerator_Recording.xls

description: :unav
DOI: 10.7910/dvn/9lgiku/jmtzca
title: BGL-Khulna_AC_239_Goat_2018.xls

description: :unav
DOI: 10.7910/dvn/9lgiku/myyf88
title: 9. 2018_SA_BDS_KHU_CSA MonitoringResults_GF_Links.xls

description: :unav
DOI: 10.7910/dvn/9lgiku/xidn5a
title: BGL-Khulna_AC_242_Tilapia_2018.xls

description: :unav
DOI: 10.7910/dvn/9lgiku/2dcmkj
title: M2.tab

description: :unav
DOI: 10.7910/dvn/9lgiku/csg2zi
title: M5.tab

description: :unav
DOI: 10.7910/dvn/9lgiku/geyn6f
title: M4.tab

description: :unav
DOI: 10.7910/dvn/9lgiku/mqitfl
title: M0.tab

description: :unav
DOI: 10.7910/dvn/9lgiku/p5nmbo
title: M3.tab

description: :unav
DOI: 10.7910/dvn/9lgiku/qmr4rb
title: M1.tab

description: :unav
DOI: 10.7910/dvn/ylcis4/3hjixx
title: 001_ET_P1_BS_2010_HEW.tab

description: :unav
DOI: 10.7910/dvn/ylcis4/41pb2u
title: 002_ET_P1_BS_2010_HEW_codebook.pdf

description: :unav
DOI: 10.7910/dvn/ylcis4/hz8uoe
title: 003_ET_P1_BS_2010_HEW_valueLabels.pdf

description: :unav
DOI: 10.7910/dvn/ylcis4/omml7z
title: 000_Ethiopia_A&T_Baseline_HEW_Questionnaire.pdf

description: :unav
DOI: 10.7910/dvn/5wuzxm/ibn1dm
title: 003_CHEW_codebook.pdf

description: :unav
DOI: 10.7910/dvn/5wuzxm/jeloym
title: 001_Ethiopia_A&T_Baseline_CHEW_Questionnaire.pdf

description: :unav
DOI: 10.7910/dvn/5wuzxm/mtgp81
title: 002_ET_P1_BS_2010_CHEW_final.tab

description: :unav
DOI: 10.7910/dvn/5wuzxm/mzjroc
title: 004_CHEW_value_labels.pdf

description: :unav
DOI: 10.7910/dvn/pbbkbf/uigpi4
title: indices.tab

description: Social Capital & Vulnerability Indices for Japanese municipalities, years 2000-2017
DOI: 10.7910/dvn/5l6173/bbmuit
title: 001_ET_P1_BS_2010_supervisor_questionnaire.pdf

description: :unav
DOI: 10.7910/dvn/5l6173/9jmjfr
title: 002_ET_P1_BS_2010_supervisor.tab

description: :unav
DOI: 10.7910/dvn/5l6173/dpijfb
title: 003_ET_P1_BS_2010_supervisor_codebook.pdf

description: :unav
DOI: 10.7910/dvn/5l6173/fhkhfi
title: 004_ET_P1_BS_2010_supervisor_valueLabels.pdf

description: :unav
DOI: 10.7910/dvn/ciq6ft/7hcsnp
title: 001_Ethiopia_A&T_Baseline_communityLeader.pdf

description: :unav
DOI: 10.7910/dvn/ciq6ft/tumduz
title: 002_ET_P1_BS_2010_communityLeader.tab

description: :unav
DOI: 10.7910/dvn/ciq6ft/c7hl44
title: 003_communityLeader_codebook.pdf

description: :unav
DOI: 10.7910/dvn/ciq6ft/d9lnpd
title: 004_communityLeader_valueLabels.pdf

description: :unav
DOI: 10.7910/dvn/s4yxqb/6e5use
title: 4. AME_CN.do

description: :unav
DOI: 10.7910/dvn/s4yxqb/bbzgol
title: 1. Aggregate_CN.R

description: :unav
DOI: 10.7910/dvn/s4yxqb/csv53o
title: 2. Aggregate_JP.R

description: :unav
DOI: 10.7910/dvn/s4yxqb/hf2vlq
title: 10. Heterogenous_effects_CN.R

description: :unav
DOI: 10.7910/dvn/s4yxqb/siifxd
title: 0. AccountabilityDescriptive.R

description: :unav
DOI: 10.7910/dvn/s4yxqb/uf7cw8
title: 3. Analysis_conjoint_CN.R

description: :unav
DOI: 10.7910/dvn/s4yxqb/5uwm9s
title: 9. Heterogenous_effects_JP.R

description: :unav
DOI: 10.7910/dvn/s4yxqb/jd95ah
title: 8. Party.R

description: :unav
DOI: 10.7910/dvn/s4yxqb/jhqhz5
title: 7. Analysis_vignette.R

description: :unav
DOI: 10.7910/dvn/s4yxqb/k4rqs0
title: 6. AME_JP.do

description: :unav
DOI: 10.7910/dvn/s4yxqb/srcwbx
title: A1. mm_robustness_china.do

description: :unav
DOI: 10.7910/dvn/s4yxqb/t8efzz
title: 5. Analysis_conjoint_JP.R

description: :unav
DOI: 10.7910/dvn/f5ez7b/kwixgu
title: 01. 2019_WA_SEN_KAF_Questionnaire_Codified.xls

description: :unav
DOI: 10.7910/dvn/f5ez7b/mnwhyb
title: 4. 2019_WA_SEN_KAF_Inform Consents_French.pdf

description: :unav
DOI: 10.7910/dvn/f5ez7b/qnk1hr
title: 2. 2019_WA_SEN_KAF_Survey_Master_Tree.pdf

description: :unav
DOI: 10.7910/dvn/f5ez7b/qpnguw
title: 3. 2019_WA_SEN_KAF_Glossary_CSA_practices.pdf

description: :unav
DOI: 10.7910/dvn/f5ez7b/tgxzec
title: 10. 2019_WA_SEN_KAF_Intro_Atelier_Monitoring_AIC.pdf

description: :unav
DOI: 10.7910/dvn/f5ez7b/um2uwu
title: 11. 2029_WA_SEN_KAF_ Report_ Implementation CSA Monitoring (Anonimized).pdf

description: :unav
DOI: 10.7910/dvn/s4yxqb/iraqp2
title: A3. Balance.R

description: :unav
DOI: 10.7910/dvn/s4yxqb/pbviy3
title: AccountabilityDescriptive.RData

description: :unav
DOI: 10.7910/dvn/s4yxqb/qqxtqx
title: conjoint_cn.tab

description: :unav
DOI: 10.7910/dvn/s4yxqb/rtfa8u
title: A4. Japan_party.R

description: :unav
DOI: 10.7910/dvn/s4yxqb/sl9lbt
title: A2. mm_robustness_japan.do

description: :unav
DOI: 10.7910/dvn/s4yxqb/uhda7t
title: China_Data_FINAL.tab

description: :unav
DOI: 10.7910/dvn/f5ez7b/r3yayj
title: 7. 2019_WA_SEN_KAF_CIAT Minimum Risk Review Application.pdf

description: :unav
DOI: 10.7910/dvn/f5ez7b/raxcst
title: 9. 2019_WA_SEN_KAF_Enumerators_Recording.xls

description: :unav
DOI: 10.7910/dvn/f5ez7b/saki5q
title: 8. 2019_WA_SEN_KAF_CIAT Minimum Risk Rewiew IRB Approval Letter.pdf

description: :unav
DOI: 10.7910/dvn/f5ez7b/svnatq
title: 6. 2019_WA_SEN_KAF_Protocol of cleaning and preparationof data 2019-2020.pdf

description: :unav
DOI: 10.7910/dvn/s4yxqb/0brewx
title: dat_analysis_JP.RData

description: :unav
DOI: 10.7910/dvn/s4yxqb/bmpbpe
title: dat_analysis_CN.RData

description: :unav
DOI: 10.7910/dvn/s4yxqb/ialevh
title: Japan_Data_FINAL.tab

description: :unav
DOI: 10.7910/dvn/s4yxqb/jalgt4
title: conjoint_jp.tab

description: :unav
DOI: 10.7910/dvn/s4yxqb/luvxzy
title: README.txt

description: :unav
DOI: 10.7910/dvn/srpwfw/fzfojn
title: ENACOES_2014_V5.RData

description: Survey Dataset (R Original Format)
DOI: 10.7910/dvn/srpwfw/z7zwyt
title: ENACOES_2014_V5_14.tab

description: Survey Dataset (Stata 14 Original Format)
DOI: 10.7910/dvn/srpwfw/64vehf
title: User_Manual_ENCOES_2014.pdf

description: :unav
DOI: 10.7910/dvn/srpwfw/ks5pej
title: Questionnaire_ENCOES_2014_Sample_1_ENG.pdf

description: Questionnaire (Module 1, english version)
DOI: 10.7910/dvn/srpwfw/sct3yf
title: Questionnaire_ENCOES_2014_Sample_2_ESP.pdf

description: :unav
DOI: 10.7910/dvn/srpwfw/uoyz7p
title: Questionnaire_ENCOES_2014_Sample_1_ESP.pdf

description: :unav
DOI: 10.7910/dvn/h8ovmf/4us7aq
title: ELSOC_W03_v2.00_R.RData

description: Survey Dataset (RData Original Format)
DOI: 10.7910/dvn/h8ovmf/6r4dw8
title: ELSOC_W03_v2.00_SPSS.tab

description: Survey Dataset (SPSS Original Format)
DOI: 10.7910/dvn/h8ovmf/c8pd7r
title: ELSOC_W03_v2.00_Stata14.tab

description: Survey Dataset (Stata 14 Original Format)
DOI: 10.7910/dvn/h8ovmf/qshbbd
title: Questionnaire_W03_S2018_ESP

description: Questionnaire
DOI: 10.7910/dvn/h8ovmf/vx4qlc
title: Questionnaire_W03_S2016_ESP

description: Questionnaire
DOI: 10.7910/dvn/jnmdco/0keu5q
title: codebook.docx

description: :unav
DOI: 10.7910/dvn/jnmdco/5esgp3
title: experiment_Danish.docx

description: :unav
DOI: 10.7910/dvn/jnmdco/jjzpix
title: analysis_dataverse.R

description: :unav
DOI: 10.7910/dvn/jnmdco/d99lgt
title: minority_all_data.Rdata

description: :unav
DOI: 10.7910/dvn/jnmdco/edw9b1
title: experiment_Russian.docx

description: :unav
DOI: 10.7910/dvn/jnmdco/kqkhbq
title: experiment_English.docx

description: :unav
DOI: 10.7910/dvn/jnmdco/nym09c
title: log.html

description: :unav
DOI: 10.7910/dvn/jnmdco/otlao2
title: import.R

description: :unav
DOI: 10.7910/dvn/jnmdco/zzgvcc
title: experiment_Hungarian.docx

description: :unav
DOI: 10.7910/dvn/jnmdco/fmm8bk
title: minority_data.Rdata

description: :unav
DOI: 10.7910/dvn/jnmdco/h6iasy
title: Minority_India.csv

description: :unav
DOI: 10.7910/dvn/jnmdco/njs43j
title: Minority_Hungary_p1.tab

description: :unav
DOI: 10.7910/dvn/jnmdco/x4jarl
title: Minority_Hungary_p2.tab

description: :unav
DOI: 10.7910/dvn/jnmdco/zjx1jd
title: Minority_Denmark.tab

description: :unav
DOI: 10.7910/dvn/jnmdco/fiugef
title: Minority_USA.tab

description: :unav
DOI: 10.7910/dvn/jnmdco/nuakxj
title: multilevel_multinom1.Rdata

description: :unav
DOI: 10.7910/dvn/jnmdco/sylkbk
title: README.md

description: :unav
DOI: 10.7910/dvn/jnmdco/u12xrq
title: multilevel_multinom0.Rdata

description: :unav
DOI: 10.7910/dvn/jnmdco/veiihm
title: Minority_Russia.tab

description: :unav
DOI: 10.7910/dvn/84nyfe/tvcevk
title: LV_wind.R

description: R-code
DOI: 10.7910/dvn/84nyfe/vxjppg
title: LV_pollutants.tab

description: EXCEL
DOI: 10.7910/dvn/uanenc/4savxt
title: HFD110_2.fq.gz

description: 0 week data
DOI: 10.7910/dvn/uanenc/bxemzr
title: HFD112w_2.fq.gz

description: 1 week data
DOI: 10.7910/dvn/uanenc/de04ge
title: HFD110_1.fq.gz

description: 0 week data
DOI: 10.7910/dvn/uanenc/e0autm
title: HFD115w_1.fq.gz

description: 4 week data
DOI: 10.7910/dvn/uanenc/lkhne7
title: HFD112w_1.fq.gz

description: 1 week data
DOI: 10.7910/dvn/84nyfe/v1hxos
title: LV_wind.RData

description: RData
DOI: 10.7910/dvn/84nyfe/y7tzk6
title: README.txt

description: README
DOI: 10.7910/dvn/uanenc/dsqzkx
title: HFD122w_1.fq.gz

description: 1 week data
DOI: 10.7910/dvn/uanenc/nabua6
title: HFD115w_2.fq.gz

description: 4 week data
DOI: 10.7910/dvn/uanenc/p689dg
title: HFD120_1.fq.gz

description: 0 week data
DOI: 10.7910/dvn/uanenc/r0pjxh
title: HFD122w_2.fq.gz

description: 1 week data
DOI: 10.7910/dvn/uanenc/z45tnw
title: HFD120_2.fq.gz

description: 0 week data
DOI: 10.7910/dvn/uanenc/6z4tuw
title: HFD125w_2.fq.gz

description: 4 week data
DOI: 10.7910/dvn/uanenc/gkgjpr
title: HFD130_1.fq.gz

description: 0 week data
DOI: 10.7910/dvn/uanenc/iygijk
title: HFD125w_1.fq.gz

description: 4 week data
DOI: 10.7910/dvn/uanenc/mdlpot
title: HFD132w_1.fq.gz

description: 1 week data
DOI: 10.7910/dvn/uanenc/ndexke
title: HFD130_2.fq.gz

description: 0 week data
DOI: 10.7910/dvn/djr0yc/sgd6uf
title: analysis_all.R

description: :unav
DOI: 10.7910/dvn/djr0yc/wxgzpa
title: ab_side.RData

description: :unav
DOI: 10.7910/dvn/djr0yc/x1wz7d
title: analysis_afrobarometer.R

description: :unav
DOI: 10.7910/dvn/uanenc/0ij5tq
title: HFD230_2.fq.gz

description: 0 week data
DOI: 10.7910/dvn/uanenc/33f0tz
title: HFD132w_2.fq.gz

description: 1 week data
DOI: 10.7910/dvn/uanenc/8x23jy
title: HFD135w_2.fq.gz

description: 4 week data
DOI: 10.7910/dvn/uanenc/dswcys
title: HFD230_1.fq.gz

description: 0 week data
DOI: 10.7910/dvn/uanenc/xjuplq
title: HFD135w_1.fq.gz

description: 4 week data
DOI: 10.7910/dvn/djr0yc/5t98ns
title: analysis_ealevel.R

description: :unav
DOI: 10.7910/dvn/djr0yc/8ynm56
title: analysis_globals.R

description: :unav
DOI: 10.7910/dvn/djr0yc/e8xusa
title: analysis_descriptives.R

description: :unav
DOI: 10.7910/dvn/djr0yc/nijxdu
title: analysis_altoutcomes.R

description: :unav
DOI: 10.7910/dvn/djr0yc/rvddvo
title: analysis_frt.R

description: :unav
DOI: 10.7910/dvn/djr0yc/w5km64
title: analysis_heterogeneity.R

description: :unav
DOI: 10.7910/dvn/uanenc/06edoz
title: HFD232w_2.fq.gz

description: 1 week data
DOI: 10.7910/dvn/uanenc/cal5sb
title: HFD235w_2.fq.gz

description: 4 week data
DOI: 10.7910/dvn/uanenc/hbzfvr
title: HFD240_1.fq.gz

description: 0 week data
DOI: 10.7910/dvn/uanenc/lz28fs
title: HFD232w_1.fq.gz

description: 1 week data
DOI: 10.7910/dvn/uanenc/utldgt
title: HFD235w_1.fq.gz

description: 4 week data
DOI: 10.7910/dvn/djr0yc/epz7l2
title: analysis_table1.R

description: :unav
DOI: 10.7910/dvn/djr0yc/j9uxxs
title: analysis_hh_fe.R

description: :unav
DOI: 10.7910/dvn/djr0yc/tboqs6
title: analysis_robchecks.R

description: :unav
DOI: 10.7910/dvn/djr0yc/xusudl
title: analysis_inclmaps.R

description: :unav
DOI: 10.7910/dvn/uanenc/94lfqk
title: HFD310_1.fq.gz

description: 0 week data
DOI: 10.7910/dvn/uanenc/fcvpyt
title: HFD242w_2.fq.gz

description: 1 week data
DOI: 10.7910/dvn/uanenc/hym2m8
title: HFD242w_1.fq.gz

description: 1 week data
DOI: 10.7910/dvn/uanenc/soizyb
title: HFD245w_1.fq.gz

description: 4 week data
DOI: 10.7910/dvn/uanenc/sqklxj
title: HFD245w_2.fq.gz

description: 4 week data
DOI: 10.7910/dvn/uanenc/vjettf
title: HFD240_2.fq.gz

description: 0 week data
DOI: 10.7910/dvn/djr0yc/1ooy13
title: analysis_table2.R

description: :unav
DOI: 10.7910/dvn/djr0yc/3dka22
title: districts_2000.RData

description: :unav
DOI: 10.7910/dvn/djr0yc/9pjcmp
title: districts_2000_covariates.rds

description: :unav
DOI: 10.7910/dvn/djr0yc/meqxth
title: readme.txt

description: :unav
DOI: 10.7910/dvn/djr0yc/vmfjvr
title: dhs_epr_frt_side.rds

description: :unav
DOI: 10.7910/dvn/uanenc/2zlxvn
title: HFD310_2.fq.gz

description: 0 week data
DOI: 10.7910/dvn/uanenc/dd6dxs
title: HFD315w_1.fq.gz

description: 4 week data
DOI: 10.7910/dvn/uanenc/lujgsz
title: HFD312w_2.fq.gz

description: 1 week data
DOI: 10.7910/dvn/uanenc/n3p2fy
title: HFD315w_2.fq.gz

description: 4 week data
DOI: 10.7910/dvn/uanenc/rjnxal
title: HFD312w_1.fq.gz

description: 1 week data
DOI: 10.7910/dvn/uanenc/bfvghc
title: HFD320_2.fq.gz

description: 0 week data
DOI: 10.7910/dvn/uanenc/h0lext
title: HFD325w_1.fq.gz

description: 4 week data
DOI: 10.7910/dvn/uanenc/roanjq
title: HFD320_1.fq.gz

description: 0 week data
DOI: 10.7910/dvn/uanenc/xtwylx
title: HFD322w_2.fq.gz

description: 1 week data
DOI: 10.7910/dvn/uanenc/xug7wm
title: HFD322w_1.fq.gz

description: 1 week data
DOI: 10.7910/dvn/uanenc/hlykb2
title: HFD345w_1.fq.gz

description: 4 week data
DOI: 10.7910/dvn/uanenc/ohxyzx
title: HFD342w_2.fq.gz

description: 1 week data
DOI: 10.7910/dvn/uanenc/regaz2
title: HFD340_1.fq.gz

description: 0 week data
DOI: 10.7910/dvn/uanenc/sjjjwp
title: HFD342w_1.fq.gz

description: 1 week data
DOI: 10.7910/dvn/uanenc/xfbzqd
title: HFD325w_2.fq.gz

description: 4 week data
DOI: 10.7910/dvn/uanenc/xqbn7g
title: HFD340_2.fq.gz

description: 0 week data
DOI: 10.7910/dvn/simdzr/58xuhg
title: Raw Data.tab

description: :unav
DOI: 10.7910/dvn/uanenc/jrsldh
title: HFD420_1.fq.gz

description: 0 week data
DOI: 10.7910/dvn/uanenc/m6sk7s
title: HFD422w_1.fq.gz

description: 1 week data
DOI: 10.7910/dvn/uanenc/uv9t4b
title: HFD420_2.fq.gz

description: 0 week data
DOI: 10.7910/dvn/uanenc/xbclwj
title: HFD345w_2.fq.gz

description: 4 week data
DOI: 10.7910/dvn/uanenc/zcvif7
title: HFD420_1.fq

description: 0 week data
DOI: 10.7910/dvn/uanenc/bi9p1i
title: HFD422w_2.fq.gz

description: 1 week data
DOI: 10.7910/dvn/uanenc/ggpgmp
title: HFD430_1.fq.gz

description: 0 week data
DOI: 10.7910/dvn/uanenc/mzqduv
title: HFD425w_2.fq.gz

description: 4 week data
DOI: 10.7910/dvn/uanenc/vi5d5d
title: HFD425w_1.fq.gz

description: 4 week data
DOI: 10.7910/dvn/uanenc/wgdjcb
title: HFD432w_1.fq.gz

description: 1 week data
DOI: 10.7910/dvn/uanenc/y45rjx
title: HFD430_2.fq.gz

description: 0 week data
DOI: 10.7910/dvn/pndp4v/9ljmso
title: China.tab

description: :unav
DOI: 10.7910/dvn/pndp4v/euk9hh
title: r_code_march2019.R

description: :unav
DOI: 10.7910/dvn/pndp4v/ohttfz
title: Brazil.tab

description: :unav
DOI: 10.7910/dvn/uanenc/1mrgpt
title: HFD432w_2.fq.gz

description: 1 week data
DOI: 10.15468/dl.8j13ba
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "TaxonKey is Lycalopex culpaeus (Molina, 1782)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 25 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030816-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dkx3uk
title: Occurrence Download

description: A dataset containing 168352 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Leontodon hispidus L., Lindernia procumbens (Krock.) Philcox, Morus alba L.)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 168352 records from 606 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0161565-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ybcqda
title: Occurrence Download

description: A dataset listing the 7 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Solanum quitoense Lam."
 ]
}

 The dataset's 7 records were derived from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0161560-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3kj636
title: Occurrence Download

description: A dataset containing 980 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Erynnis propertius (Scudder & Burgess, 1870)"
 ]
}

 The dataset includes 980 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0326132-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7vbgm4
title: Occurrence Download

description: A dataset containing 886 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Flora vascular y no vascular: expedición El Valle - Proyecto Boyacá BIO UPTC"
 ]
}

 The dataset includes 886 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0141811-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.