cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.60507/fk2/wwjo7w/xxtdlj
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DOI: 10.60507/fk2/wwjo7w/yyokho
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DOI: 10.60507/fk2/wwjo7w/0u9uih
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DOI: 10.60507/fk2/wwjo7w/vk99sd
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DOI: 10.60507/fk2/wwjo7w/shas7n
title: bufu_585_2081_etss_upper.tif
DOI: 10.60507/fk2/wwjo7w/2fibrx
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DOI: 10.60507/fk2/wwjo7w/ffpg8c
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DOI: 10.60507/fk2/wwjo7w/ramq98
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DOI: 10.60507/fk2/wwjo7w/0rd18n
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DOI: 10.60507/fk2/wwjo7w/wtxosn
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DOI: 10.60507/fk2/wwjo7w/iey6qj
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DOI: 10.60507/fk2/wwjo7w/1rglkp
title: chpa_370_2081_mtss_lower.tif
DOI: 10.60507/fk2/wwjo7w/jbmfdz
title: chpa_245_2081_bto_mean.tif
DOI: 10.60507/fk2/wwjo7w/kd2ie6
title: bufu_current_bto_lower.tif
DOI: 10.60507/fk2/wwjo7w/efcsis
title: chpa_245_2081_mtss_mean.tif
DOI: 10.60507/fk2/wwjo7w/jklmls
title: chpa_245_2081_etss_upper.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/cwp3ys
title: bufu_585_2041_bto_upper.tif
DOI: 10.60507/fk2/wwjo7w/ej3qmi
title: chpa_126_2081_etss_upper.tif
DOI: 10.60507/fk2/wwjo7w/9vomps
title: chpa_126_2041_tp_upper.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/ksddpk
title: bufu_585_2041_tp_mean.tif
DOI: 10.60507/fk2/wwjo7w/ypydhi
title: seca_585_2041_bto_upper.tif
DOI: 10.60507/fk2/wwjo7w/8gxb2a
title: seca_370_2081_etss_upper.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/bkqvmu
title: bufu_126_2041_bto_upper.tif
DOI: 10.60507/fk2/wwjo7w/bzf8nh
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DOI: 10.60507/fk2/wwjo7w/gu60jh
title: bufu_126_2041_mtss_mean.tif
DOI: 10.60507/fk2/wwjo7w/0lsgzn
title: seca_245_2041_etss_mean.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/cudvr4
title: bufu_126_2081_tp_upper.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/do6pre
title: chpa_245_2041_bto_upper.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/qrdwf4
title: seca_245_2081_mtss_mean.tif
DOI: 10.60507/fk2/wwjo7w/mwawop
title: chpa_current_mtss_mean.tif
DOI: 10.60507/fk2/wwjo7w/da32qi
title: chpa_585_2081_etss_mean.tif
DOI: 10.60507/fk2/wwjo7w/4kvsbv
title: seca_370_2081_mtss_lower.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/px5qgk
title: seca_585_2041_tp_mean.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/eocyk6
title: seca_370_2041_mtss_lower.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/cxtno3
title: chpa_585_2081_mtss_lower.tif
DOI: 10.60507/fk2/wwjo7w/yvkuaq
title: bufu_245_2041_tp_mean.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/trfvjs
title: seca_370_2081_bto_upper.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/ugvsln
title: bufu_126_2081_bto_lower.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/ae70vl
title: chpa_current_etss_lower.tif
DOI: 10.60507/fk2/wwjo7w/u65irl
title: chpa_126_2041_tp_lower.tif
DOI: 10.60507/fk2/wwjo7w/3kpkp5
title: chpa_245_2041_mtss_mean.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/4ympzo
title: seca_370_2081_tp_lower.tif
DOI: 10.60507/fk2/wwjo7w/8sk3m8
title: chpa_245_2081_etss_mean.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/jsnqxy
title: chpa_370_2081_mtss_mean.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/ug3r7i
title: bufu_current_mtss_mean.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/ivlale
title: bufu_585_2041_mtss_mean.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/juurrn
title: chpa_current_etss_upper.tif
DOI: 10.60507/fk2/wwjo7w/1pfhpo
title: bufu_370_2081_mtss_upper.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/z1ljlh
title: bufu_current_mtss_lower.tif
DOI: 10.60507/fk2/wwjo7w/nqvygj
title: chpa_585_2081_mtss_upper.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/qx93hv
title: seca_126_2041_bto_upper.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/2dqgdo
title: bufu_370_2081_tp_mean.tif
DOI: 10.60507/fk2/wwjo7w/z6st0r
title: bufu_585_2081_etss_upper.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/i1twgo
title: bufu_370_2041_tp_mean.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/mpqvh4
title: seca_126_2081_etss_upper.tif
DOI: 10.60507/fk2/wwjo7w/nqqyxz
title: bufu_585_2081_tp_upper.tif
DOI: 10.60507/fk2/wwjo7w/qdofsr
title: chpa_126_2041_etss_lower.tif
DOI: 10.60507/fk2/wwjo7w/r1ljjl
title: chpa_585_2081_tp_mean.tif
DOI: 10.60507/fk2/wwjo7w/mrmcdc
title: bufu_370_2041_tp_upper.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/xjlx7h
title: chpa_126_2081_tp_lower.tif
DOI: 10.60507/fk2/wwjo7w/6blnae
title: chpa_current_bto_mean.tif
DOI: 10.60507/fk2/wwjo7w/9bpswa
title: chpa_126_2081_bto_upper.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/t00jhx
title: seca_245_2041_mtss_upper.tif
DOI: 10.60507/fk2/wwjo7w/wr1n4p
title: bufu_126_2081_bto_lower.tif
DOI: 10.60507/fk2/wwjo7w/hoaojp
title: bufu_245_2041_mtss_mean.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/pio9t9
title: bufu_370_2081_etss_upper.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/smsnu9
title: bufu_245_2041_tp_mean.tif
DOI: 10.60507/fk2/wwjo7w/tbruia
title: bufu_245_2041_bto_upper.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/gmow2k
title: seca_126_2081_tp_mean.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/yghtix
title: seca_126_2081_mtss_upper.tif
DOI: 10.60507/fk2/wwjo7w/zmv9y3
title: seca_126_2041_mtss_mean.tif
DOI: 10.60507/fk2/wwjo7w/ist9fi
title: chpa_370_2081_etss_lower.tif
DOI: 10.60507/fk2/wwjo7w/lnrdjr
title: bufu_126_2081_bto_upper.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/vvvlgp
title: bufu_245_2041_etss_lower.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/0egrlf
title: bufu_126_2081_etss_mean.tif
DOI: 10.60507/fk2/wwjo7w/tjvffq
title: chpa_370_2081_bto_mean.tif
DOI: 10.60507/fk2/wwjo7w/gwberv
title: bufu_585_2041_etss_upper.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/jgzjzo
title: bufu_245_2081_bto_lower.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/bogtym
title: seca_126_2041_bto_mean.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/j4zkme
title: seca_370_2041_tp_upper.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/sadvhp
title: bufu_370_2041_etss_upper.tif
DOI: 10.60507/fk2/wwjo7w/pyeqkr
title: seca_126_2041_bto_lower.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/i77b2u
title: bufu_585_2081_tp_mean.tif
DOI: 10.60507/fk2/wwjo7w/3yyvxo
title: seca_585_2081_mtss_upper.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/bxbiqe
title: bufu_370_2081_tp_upper.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/jgiwjy
title: chpa_current_mtss_lower.tif
DOI: 10.60507/fk2/wwjo7w/azorcx
title: bufu_245_2041_mtss_upper.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/f611xs
title: chpa_370_2081_bto_upper.tif
DOI: 10.60507/fk2/wwjo7w/vybuvk
title: bufu_370_2081_mtss_lower.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/ueupiu
title: bufu_370_2081_mtss_lower.tif
DOI: 10.60507/fk2/wwjo7w/dad2ww
title: chpa_245_2041_etss_mean.tif
DOI: 10.60507/fk2/wwjo7w/wo2xck
title: chpa_585_2081_tp_lower.tif
DOI: 10.60507/fk2/wwjo7w/lhd8vn
title: bufu_370_2081_mtss_mean.tif
DOI: 10.60507/fk2/wwjo7w/lodhgl
title: bufu_585_2081_bto_mean.tif
DOI: 10.60507/fk2/wwjo7w/ns1laq
title: chpa_370_2081_etss_upper.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/dgsnje
title: bufu_126_2081_tp_upper.tif
DOI: 10.60507/fk2/wwjo7w/dcxsp1
title: seca_370_2041_bto_upper.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/essppb
title: bufu_245_2041_etss_upper.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/va0ipr
title: seca_current_mtss_upper.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/itvikg
title: bufu_585_2041_tp_lower.tif
DOI: 10.60507/fk2/wwjo7w/fmm0wg
title: chpa_370_2041_tp_lower.tif
DOI: 10.60507/fk2/wwjo7w/eyabcy
title: chpa_370_2041_mtss_upper.tif
DOI: 10.60507/fk2/wwjo7w/goszdv
title: bufu_585_2081_mtss_lower.tif
DOI: 10.60507/fk2/wwjo7w/tndelh
title: bufu_370_2081_tp_upper.tif
DOI: 10.60507/fk2/wwjo7w/dbee2w
title: chpa_370_2041_bto_upper.tif
DOI: 10.60507/fk2/wwjo7w/fe4stj
title: seca_585_2081_mtss_mean.tif
DOI: 10.60507/fk2/wwjo7w/ogmc2l
title: chpa_245_2081_mtss_lower.tif
DOI: 10.60507/fk2/wwjo7w/esd1kp
title: seca_126_2041_mtss_mean.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/f6w7fi
title: chpa_585_2081_etss_lower.tif
DOI: 10.60507/fk2/wwjo7w/tcosop
title: seca_126_2041_mtss_upper.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/fsgk2n
title: chpa_126_2081_mtss_upper.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/nvugeb
title: chpa_370_2081_etss_mean.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/1itgev
title: seca_245_2081_tp_mean.tif
DOI: 10.60507/fk2/wwjo7w/sahf3t
title: chpa_126_2041_mtss_upper.tif
DOI: 10.60507/fk2/wwjo7w/c5phzn
title: bufu_245_2041_mtss_mean.tif
DOI: 10.60507/fk2/wwjo7w/itl1hh
title: seca_585_2041_tp_upper.tif
DOI: 10.15468/dl.yqhmhm
title: Occurrence Download

description: A dataset containing 293388 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 Apamea monoglypha (Hufnagel, 1766)",
 "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 293388 records from 223 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022000-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60507/fk2/wwjo7w/yah0jy
title: seca_370_2041_bto_mean.tif
DOI: 10.60507/fk2/wwjo7w/gcotgx
title: chpa_245_2081_tp_mean.tif
DOI: 10.60507/fk2/wwjo7w/io39jz
title: chpa_126_2041_bto_mean.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/6grrsp
title: seca_126_2081_bto_lower.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/69crgq
title: chpa_245_2041_bto_mean.tif
DOI: 10.60507/fk2/wwjo7w/amir7z
title: seca_370_2041_etss_upper.tif
DOI: 10.60507/fk2/wwjo7w/frtjgl
title: seca_585_2041_etss_upper.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/nepxjb
title: bufu_585_2041_bto_lower.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/auszt7
title: chpa_585_2081_bto_lower.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/mywzf8
title: chpa_current_mtss_mean.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/n08y5n
title: seca_370_2081_etss_mean.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/synzdg
title: seca_585_2081_tp_lower.tif.aux.xml
DOI: 10.60507/fk2/wwjo7w/rcsijz
title: chpa_370_2041_bto_mean.tif
DOI: 10.60507/fk2/wwjo7w/b5zd7x
title: chpa_current_tp_lower.tif
DOI: 10.60507/fk2/0npwos/xx9xi0
title: metadata.xml
DOI: 10.60507/fk2/0npwos/zuu2qe
title: Climate Data Ghana_Sunyani.csv
DOI: 10.60507/fk2/0npwos/nkouuf
title: proj_BiomassWEB.png
DOI: 10.60507/fk2/0npwos/ijwj6u
title: statistic-2.PNG
DOI: 10.60507/fk2/na7ags/56o1cg
title: ethnic_fractionalization_raster.lpk
DOI: 10.60507/fk2/na7ags/cgxzli
title: metadata.xml
DOI: 10.60507/fk2/na7ags/aoakms
title: csm_TIGA_logo_01_5f5f67c173.png
DOI: 10.60507/fk2/na7ags/4jpdz2
title: ethnic_fractionalization_color.jpg
DOI: 10.60507/fk2/witnba/cyzodi
title: metadata.xml
DOI: 10.60507/fk2/witnba/wdm6rc
title: Fragile_state_Index_2018_Rank__Cohesion_Indicators__Security_Apparatus_.pdf
DOI: 10.60507/fk2/witnba/ai7pgp
title: Fragile_state_Index_2018_Rank__Cohesion_Indicators__Security_Apparatus_.jpg
DOI: 10.60507/fk2/witnba/mocxzv
title: Fragile_state_Index_2018_Rank__Cohesion_Ind_Security_App.csv
DOI: 10.60507/fk2/witnba/a3t175
title: proj_strive.png
DOI: 10.60507/fk2/witnba/5pefam
title: ReadMe_Variables.txt
DOI: 10.60507/fk2/obgear/3jlxxb
title: metadata.xml
DOI: 10.60507/fk2/obgear/s5hrxn
title: Map-new.PNG
DOI: 10.60507/fk2/obgear/6r0s2u
title: ZEF_bio_stem-borer-distribution-modelled_tanzania-kenya-ras.zip
DOI: 10.60507/fk2/vwutwf/nta5mm
title: metadata.xml
DOI: 10.60507/fk2/vwutwf/hdohje
title: Agronomic Fertilizer Use Efficiency (FUE) in Maize biomass in Ashanti region and Brong-Ahafo region in Ghana_300dpi.png
DOI: 10.60507/fk2/vwutwf/htx7l3
title: proj_BiomassWEB.png
DOI: 10.60507/fk2/vwutwf/6t6ozf
title: Ghana_Maize_Resource_Use_Eff-1.zip
DOI: 10.60507/fk2/vwutwf/oloi3u
title: Agronomic_Fertilizer_Use_Efficiency_FUE_in_Maize_biomass_in_Ashanti_region_and_Brong-Ahafo_region_in_Ghana.png
DOI: 10.60507/fk2/pi929d/g4dw8g
title: metadata.xml
DOI: 10.60507/fk2/pi929d/mdwde9
title: Crop_calender_Nigeria.xls
DOI: 10.60507/fk2/pi929d/tmavbv
title: proj_BiomassWEB.png
DOI: 10.60507/fk2/pi929d/xrjpc2
title: statistic-2.PNG
DOI: 10.60507/fk2/sugf41/8kg9if
title: metadata.xml
DOI: 10.60507/fk2/sugf41/vwayn6
title: Survey.PNG
DOI: 10.60507/fk2/sugf41/kxrhjh
title: Dataset-2_JWK.xlsx
DOI: 10.60507/fk2/qbro0o/wg9tw1
title: NHF_soc_livelihoods_ethiopia_wabo_2015_male.odt
DOI: 10.60507/fk2/qbro0o/xq0wfp
title: NHF_soc_livelihoods_ethiopia_wangene_2015_male.odt
DOI: 10.60507/fk2/qbro0o/yveqyd
title: metadata.xml
DOI: 10.60507/fk2/qbro0o/aopkyp
title: NHF_soc_livelihoods_ethiopia_wangene_2015_female.odt
DOI: 10.60507/fk2/qbro0o/j1tcyj
title: NHF_soc_livelihoods_ethiopia_gaba_2015_male.odt
DOI: 10.60507/fk2/qbro0o/me0119
title: NHF_soc_livelihoods_ethiopia_wabo_2015_female.odt
DOI: 10.60507/fk2/qbro0o/qwdxrg
title: NHF_soc_livelihoods_ethiopia_gaba_2015_female.odt
DOI: 10.60507/fk2/qbro0o/1bcmvf
title: NHF_soc_livelihoods_ethiopia_bondamegela_2015_male.odt
DOI: 10.60507/fk2/qbro0o/jctgfy
title: NHF_soc_livelihoods_ethiopia_gaba_2015_male.docx.odt
DOI: 10.60507/fk2/qbro0o/3e5kom
title: qualitativedata.png
DOI: 10.60507/fk2/qbro0o/qftsm9
title: ReadMe.txt
DOI: 10.60507/fk2/0wtlye/tsz5ex
title: metadata.xml
DOI: 10.60507/fk2/0wtlye/r8tycy
title: SurveyData.csv
DOI: 10.60507/fk2/0wtlye/05suhw
title: Survey.PNG
DOI: 10.60507/fk2/0wtlye/4hbs1p
title: ReadMe_Variables.txt
DOI: 10.60507/fk2/u0hder/i7upj8
title: metadata.xml
DOI: 10.60507/fk2/u0hder/vyuydv
title: Yield_production_Ghana.xls
DOI: 10.60507/fk2/u0hder/vuu2ds
title: proj_BiomassWEB.png
DOI: 10.60507/fk2/u0hder/zkeq9h
title: statistic-2.PNG
DOI: 10.60507/fk2/unnfoh/eljnzb
title: metadata.xml
DOI: 10.60507/fk2/unnfoh/v8j4ko
title: Eth_2005-06_SAM.csv
DOI: 10.60507/fk2/unnfoh/v9sebi
title: type_datasets.png
DOI: 10.60507/fk2/woiijg/p7kunf
title: Water use efficiency in Maize Grain yield_landscape_300dpi.png
DOI: 10.60507/fk2/woiijg/t5fbft
title: metadata.xml
DOI: 10.60507/fk2/woiijg/up5ao9
title: BIOW_Water-Use-Efficiency-Ethiopia_2004-10_pol.zip
DOI: 10.60507/fk2/woiijg/syornf
title: proj_BiomassWEB.png
DOI: 10.60507/fk2/woiijg/qka4hx
title: Water_use_efficiency_in_Maize_Grain_yield_new.png
DOI: 10.60507/fk2/zf2ie5/9yfry1
title: metadata.xml
DOI: 10.60507/fk2/zf2ie5/9t92pm
title: Ranking_of_Economy___Registering_Property.csv
DOI: 10.60507/fk2/zf2ie5/aoyrpy
title: Ranking_of_Economy___Registering_Property_.jpg
DOI: 10.60507/fk2/zf2ie5/1pgazw
title: proj_strive.png
DOI: 10.60507/fk2/zf2ie5/zautdj
title: ReadMe_Variables.txt
DOI: 10.60507/fk2/g3iwlc/hgaazm
title: metadata.xml
DOI: 10.60507/fk2/g3iwlc/ilyjmr
title: WEATHER_NYANKPALA.csv
DOI: 10.60507/fk2/g3iwlc/i3vtuf
title: image.png
DOI: 10.60507/fk2/g3iwlc/79kmns
title: proj_BiomassWEB.png
DOI: 10.60507/fk2/g3iwlc/aa7h75
title: statistic-2.PNG
DOI: 10.60507/fk2/g3iwlc/wlj0jc
title: ReadMe_Variables.txt
DOI: 10.60507/fk2/cm2blz/wg6lcn
title: metadata.xml
DOI: 10.60507/fk2/cm2blz/zmgv4a
title: Ranking_of_Economy___Enforcing_Contracts_.pdf
DOI: 10.60507/fk2/cm2blz/v7xrgj
title: proj_strive.png
DOI: 10.60507/fk2/cm2blz/qyfbgy
title: Ranking_of_Economy_Enforcing_Contracts.csv
DOI: 10.60507/fk2/cm2blz/f9ncof
title: Ranking_of_Economy___Enforcing_Contracts_.jpg
DOI: 10.60507/fk2/jdftnm/tpbinw
title: metadata.xml
DOI: 10.60507/fk2/jdftnm/vahh8k
title: Fragile_state_Index_2018_Rank__Economic_Indicator__Human_Flight_and_Brain_Drain_.pdf
DOI: 10.60507/fk2/jdftnm/cff0kc
title: Fragile_state_Index_2018_Rank_Pol_Ind_Human_Rights_Rule_of_Law.csv
DOI: 10.60507/fk2/jdftnm/nfy2ya
title: Fragile_state_Index_2018_Rank__Economic_Indicator__Human_Flight_and_Brain_Drain_.jpg
DOI: 10.60507/fk2/jdftnm/nfn78s
title: proj_strive.png
DOI: 10.60507/fk2/jdftnm/jlkn8f
title: ReadMe_Variables.txt
DOI: 10.60507/fk2/oafmwr/g4vwpr
title: metadata.xml
DOI: 10.60507/fk2/oafmwr/snkfl9
title: Agronomic Fertilizer Use Efficiency (FUE) in Maize grain yield in Ethiopia_300dpi.png
DOI: 10.60507/fk2/oafmwr/wciin4
title: proj_BiomassWEB.png
DOI: 10.60507/fk2/oafmwr/ugkhpa
title: Agronomic_Fertilizer_Use_Efficiency_FUE_in_Maize_grain_yield_in_Ethiopia_new.png
DOI: 10.60507/fk2/oafmwr/00ao9i
title: BIOW_agr_FUE_maize-grainyield_20N_ethiopia_pol.zip
DOI: 10.60507/fk2/e2xjor/2lnsd8
title: metadata.xml
DOI: 10.60507/fk2/e2xjor/hxfzhk
title: Overlapping_MargPovheadcount1.png
DOI: 10.60507/fk2/e2xjor/rd9dx6
title: ReadMe.txt
DOI: 10.60507/fk2/e2xjor/xxwu2d
title: Margip_BMGF_Edited.gif
DOI: 10.60507/fk2/6psxaq/s1gitr
title: metadata.xml
DOI: 10.60507/fk2/6psxaq/k5heaq
title: Fragile_state_Index_2018_Rank__Political_Indicator__State_Legitimacy_.pdf
DOI: 10.60507/fk2/6psxaq/hyv2pm
title: Fragile_state_Index_2018_Rank__Political_Ind_State_Legiti.csv
DOI: 10.60507/fk2/6psxaq/wi3q8x
title: proj_strive.png
DOI: 10.60507/fk2/6psxaq/okhigd
title: Fragile_state_Index_2018_Rank__Political_Indicator__State_Legitimacy_.jpg
DOI: 10.60507/fk2/6psxaq/wm0dvb
title: ReadMe_Variables.txt
DOI: 10.60507/fk2/vgsclx/a06pdd
title: metadata.xml
DOI: 10.60507/fk2/vgsclx/xgpcli
title: type_conference-proceedings.png
DOI: 10.60507/fk2/bpbdnv/eswcnk
title: Environmental_Democracy_Index__Participation_Rank.csv
DOI: 10.60507/fk2/bpbdnv/mza2zc
title: Environmental_Democracy_Index__Participation_Rank_.pdf
DOI: 10.60507/fk2/bpbdnv/yl6m4q
title: metadata.xml
DOI: 10.60507/fk2/bpbdnv/ig4xii
title: Environmental_Democracy_Index__Participation_Rank_.jpg
DOI: 10.60507/fk2/bpbdnv/fqeprz
title: ReadMe_Variables.txt
DOI: 10.60507/fk2/bpbdnv/fucgtb
title: proj_strive.png
DOI: 10.60507/fk2/fqcec8/azzyf7
title: metadata.xml
DOI: 10.60507/fk2/fqcec8/h2twds
title: Worldwide_Gov_Ind_Contr_Corruption.csv
DOI: 10.60507/fk2/fqcec8/z1b2ch
title: Worldwide_Governance_Indicators__Control_of_Corruption_.pdf
DOI: 10.60507/fk2/fqcec8/tcirgn
title: proj_strive.png
DOI: 10.60507/fk2/fqcec8/us82fp
title: Worldwide_Governance_Indicators__Control_of_Corruption_.jpg
DOI: 10.60507/fk2/oky4x6/7fbxzh
title: metadata.xml
DOI: 10.60507/fk2/oky4x6/15swqv
title: High_Agr_Potential_and_Yield_Gaps_in_Bangladesh_2005-2010.png
DOI: 10.60507/fk2/oky4x6/8zgrpt
title: MGP_socio-econ_yieldgapspotential_Bangladesh_2012.zip
DOI: 10.60507/fk2/oky4x6/z1mv3y
title: Margip_BMGF_Edited.gif
DOI: 10.60507/fk2/9zrgzp/j5akcs
title: BiomassWEB_Agr_Performance_of_a_bamboo-drip_irrigation_system_Laboratory_and_Experimental_plots_2014,_2016_xls.xlsx
DOI: 10.60507/fk2/9zrgzp/jn1hzz
title: metadata.xml
DOI: 10.60507/fk2/9zrgzp/oqhy7v
title: type_datasets.png
DOI: 10.60507/fk2/9zrgzp/onrtxg
title: ReadMe.txt
DOI: 10.60507/fk2/b4n2jg/hvzy6l
title: P14.csv
DOI: 10.60507/fk2/b4n2jg/rlntmw
title: Primary_caretaker_module.pdf
DOI: 10.60507/fk2/b4n2jg/ukhqo7
title: P9.csv
DOI: 10.60507/fk2/b4n2jg/zbrw0w
title: P_Main.csv
DOI: 10.60507/fk2/b4n2jg/4xxqpz
title: P39.csv
DOI: 10.60507/fk2/b4n2jg/b0pbot
title: P4.csv
DOI: 10.60507/fk2/b4n2jg/s4f0ua
title: metadata.xml
DOI: 10.60507/fk2/b4n2jg/szbbti
title: P38.csv
DOI: 10.60507/fk2/b4n2jg/41upmv
title: P13.csv
DOI: 10.60507/fk2/b4n2jg/nz1nxo
title: P7.csv
DOI: 10.60507/fk2/b4n2jg/fx7ecl
title: P5.csv
DOI: 10.15468/dl.4366ca
title: Occurrence Download

description: A dataset containing 1060498 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-108.867 36.99705, -106.5643 36.99705, -106.5643 37.95513, -108.867 37.95513, -108.867 36.99705))"
 ]
}

 The dataset includes 1060498 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022001-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60507/fk2/b4n2jg/rgsq3c
title: P32.csv
DOI: 10.60507/fk2/b4n2jg/i2euxm
title: P41.csv
DOI: 10.60507/fk2/b4n2jg/llduee
title: P8.csv
DOI: 10.60507/fk2/b4n2jg/frcfdr
title: P10.csv
DOI: 10.60507/fk2/b4n2jg/ppylun
title: P11.csv
DOI: 10.60507/fk2/b4n2jg/weqa29
title: Survey.PNG
DOI: 10.60507/fk2/b4n2jg/s7kuwr
title: watsan.gif
DOI: 10.60507/fk2/b4n2jg/xniozg
title: ReadMe_Variables.txt
DOI: 10.60507/fk2/txnq2y/b4xyvj
title: metadata.xml
DOI: 10.60507/fk2/txnq2y/zyfnbh
title: Soil data Ghana.xls
DOI: 10.60507/fk2/txnq2y/0nu7jd
title: proj_BiomassWEB.png
DOI: 10.60507/fk2/txnq2y/8cvlp6
title: statistic-2.PNG
DOI: 10.60507/fk2/txnq2y/yldyqi
title: ReadMe_Variables.txt
DOI: 10.60507/fk2/zvtyah/xrhj25
title: metadata.xml
DOI: 10.60507/fk2/zvtyah/dqqnxq
title: quantitativedata.png
DOI: 10.60507/fk2/zvtyah/gqpmny
title: Dataset_for_Spatial_variability_analysis_Delineation_of_management_zones.csv
DOI: 10.60507/fk2/mojjlo/cuklra
title: metadata.xml
DOI: 10.5066/p97k04no
title: Status and trends of adult Lost River (Deltistes luxatus) and shortnose (Chasmistes brevirostris) sucker populations in Upper Klamath Lake, Oregon, 2023

description: Data were collected as part of a long-term capture-recapture program to assess the population dynamics of two long-lived, federally endangered catostomids in Upper Klamath Lake, Oregon. Lost River suckers (LRS; Deltistes luxatus) and shortnose suckers (SNS; Chasmistes brevirostris) have been captured and tagged with passive integrated transponder (PIT) tags during their spawning migrations in each year since 1995. Cormack-Jolly-Seber (CJS) open population capture-recapture models were used to estimate annual survival probabilities, and a reverse-time analog of the CJS model was used to estimate recruitment of new individuals into the spawning population. In addition, data on the size composition of captured fish were examined to provide corroborating evidence of recruitment. Separate analyses were done for each species and also for each subpopulation of LRS (i.e., lake and river spawners). Model estimates of survival and recruitment were used to derive estimates of changes in population size over time and to determine the status of the populations through 2022. Model estimates of survival, recruitment, and size composition are provided along with accompanying R code and input data.
DOI: 10.60507/fk2/mojjlo/difu5e
title: Time_Series_1970-2004.doc
DOI: 10.60507/fk2/mojjlo/jz3jev
title: Times_Series_2000-2012.doc
DOI: 10.60507/fk2/mojjlo/tgjszx
title: proj_BiomassWEB.png
DOI: 10.60507/fk2/mojjlo/x6memx
title: statistic-2.PNG
DOI: 10.15468/dl.6f6rfw
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Stefania ginesi Rivero, 1968"
 ]
}

 The dataset includes 38 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022011-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60507/fk2/sfrsat/xgiosa
title: metadata.xml
DOI: 10.60507/fk2/sfrsat/y8badn
title: Governance_Performance.pdf
DOI: 10.60507/fk2/sfrsat/erfdsp
title: Governance_Performance.jpeg
DOI: 10.60507/fk2/sfrsat/gfuimr
title: proj_strive.png
DOI: 10.60507/fk2/sfrsat/oqs7no
title: BTI_2018_Scores_strive_original_govp.xlsx
DOI: 10.15468/dl.vxuq8k
title: Occurrence Download

description: A dataset containing 161 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "TaxonKey is Glaucidium brasilianum cactorum van Rossem, 1937"
 ]
}

 The dataset includes 161 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022010-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60507/fk2/sfrsat/g8zj6e
title: ReadMe_Variables.txt
DOI: 10.60507/fk2/xb0trr/lidijh
title: metadata.xml
DOI: 10.60507/fk2/xb0trr/w8d6dh
title: WUE_Maize_Aboveground_Biomass_sel_districts_Ashanti_Brong_Ahafo_Ghana_300dpi.png
DOI: 10.60507/fk2/xb0trr/hyj2aw
title: Ghana_Maize_Resource_U_Eff.zip
DOI: 10.60507/fk2/xb0trr/jarhko
title: proj_BiomassWEB.png
DOI: 10.60507/fk2/xb0trr/gdlkzm
title: WUE_Maize_Aboveground_Biomass_sel_districts_Ashanti_Brong_Ahafo.png
DOI: 10.60507/fk2/swwt6r/2wbugr
title: Survey.PNG
DOI: 10.60507/fk2/swwt6r/yewyns
title: metadata.xml
DOI: 10.60507/fk2/swwt6r/2cvmit
title: image.png
DOI: 10.60507/fk2/swwt6r/zb0cqf
title: proj_BiomassWEB.png
DOI: 10.60507/fk2/swwt6r/8bpenh
title: ReadMe.txt
DOI: 10.60507/fk2/swwt6r/deefid
title: BioWeb_agr_land-use_resource-management_ghana_uppereast_2015.xlsx
DOI: 10.60507/fk2/swwt6r/iwcu8s
title: BioWeb_agr_land-use_resource-management_ghana_upper-east_2015_quest.docx