cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18710/exqdrn/f2azxj
title: 20131105_HOP_REDOBS_glo.txt
DOI: 10.18710/exqdrn/fovjgb
title: 20130819_HOP_REDOBS_gal.txt
DOI: 10.18710/exqdrn/gs55bc
title: 20131012_HOP_REDOBS_gal.txt
DOI: 10.18710/exqdrn/hknbn4
title: 20131101_HOP_REDOBS_gps.txt
DOI: 10.18710/exqdrn/kcl5lf
title: 20130810_HOP_REDOBS_glo.txt
DOI: 10.18710/exqdrn/wlo0ot
title: 20131205_HOP_REDOBS_gal.txt
DOI: 10.18710/exqdrn/xxjc67
title: 20131227_HOP_REDOBS_gal.txt
DOI: 10.18710/exqdrn/yymgao
title: 20130814_HOP_REDOBS_gps.txt
DOI: 10.18710/kr5rrk/e45wbk
title: 00_ReadMe.txt

description: ReadMe file to the whole dataset
DOI: 10.18710/kr5rrk/qmbaos
title: 02_Database_Corpus.csv

description: Database for the corpus study in .csv format
DOI: 10.18710/dnkrye
title: GNSS Scintillation Data (60 s) at Bjørnøya in 2013

description: &lt;p&gt;This data set contains phase and amplitude scintillation data at 60 seconds time resolution at Bjørnøya, Svalbard.

The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.&lt;/p&gt;

&lt;p&gt;A detailed description of the data structure and format is gathered in the documentation data set: &lt;i&gt;Oksavik, Kjellmar, 2020, "Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard", DataverseNO, &lt;A HREF="https://doi.org/10.18710/EA5BYX"&gt;https://doi.org/10.18710/EA5BYX&lt;/A&gt;&lt;/i&gt;
&lt;/p&gt;
&lt;p&gt;&lt;b&gt;This data set is part of a larger collection: &lt;i&gt;Oksavik, Kjellmar, 2020. "The University of Bergen Global Navigation Satellite System Data Collection". DataverseNO. &lt;A HREF="https://doi.org/10.18710/AJ4S-X394"&gt;https://doi.org/10.18710/AJ4S-X394&lt;/A&gt;.&lt;/i&gt;&lt;/b&gt;
&lt;/p&gt;
description: Matlab, R2018a
description: Bjørnøya OBS 60 s
DOI: 10.18710/dnkrye/0gwdst
title: 20130929_BJN_REDOBS_gal.txt
DOI: 10.18710/dnkrye/bovgh5
title: 20130808_BJN_REDOBS_gps.txt
DOI: 10.18710/dnkrye/ffrwd6
title: 20130908_BJN_REDOBS_gps.txt
DOI: 10.18710/dnkrye/v74rxl
title: 20131022_BJN_REDOBS_glo.txt
DOI: 10.18710/exqdrn/pqxaax
title: 20131226_HOP_REDOBS_gps.txt
DOI: 10.18710/dnkrye/dev7du
title: 20130824_BJN_REDOBS_glo.txt
DOI: 10.18710/dnkrye/glgrnr
title: 20131020_BJN_REDOBS_glo.txt
DOI: 10.18710/dnkrye/qjevo3
title: 20130818_BJN_REDOBS_glo.txt
DOI: 10.18710/dnkrye/sxfmgh
title: 20131107_BJN_REDOBS_glo.txt
DOI: 10.18710/exqdrn/5flri3
title: 20130914_HOP_REDOBS_glo.txt
DOI: 10.18710/dnkrye/dmqwcl
title: 20130910_BJN_REDOBS_glo.txt
DOI: 10.18710/dnkrye/hwlqvz
title: 20131112_BJN_REDOBS_gps.txt
DOI: 10.18710/dnkrye/sivsq4
title: 20131202_BJN_REDOBS_glo.txt
DOI: 10.18710/dnkrye/spcvdu
title: 20130923_BJN_REDOBS_gps.txt
DOI: 10.18710/dnkrye/xq88ky
title: 20131012_BJN_REDOBS_gps.txt
DOI: 10.18710/ag7qvs/cpjffs
title: fields-08000.dat
DOI: 10.18710/ag7qvs/ratt5h
title: fields-07500.dat
DOI: 10.18710/exqdrn/ag5xfn
title: 20130725_HOP_REDOBS_gps.txt
DOI: 10.18710/jwtjjb/obwobd
title: Data_publications_UiT_2019.ods
DOI: 10.18710/klqvok/05r6cb
title: dipole_mapping.yaml
DOI: 10.18710/klqvok/8rypwd
title: mw_err_time.tab
DOI: 10.18710/klqvok/ygeq8h
title: error_vs_time.ipynb

description: Jupyter Notebook for generating Figure 1 in journal article.
DOI: 10.18710/lqcny9/gdb6zr
title: 02_Community_level_NPrel.txt
DOI: 10.18710/yoilrp/dssryw
title: 20190612T105124Z_SOYAOIL.tif
DOI: 10.18710/yoilrp/suil4y
title: 20190612T121724Z_SOYAOIL.tif
DOI: 10.18710/dnkrye/ckg73g
title: 20131025_BJN_REDOBS_gps.txt
DOI: 10.18710/duanrp/hkzzzb
title: 14_Flickr_Artic_60N_googlelabels_escodes_Aland.tab

description: Åland: Google labels and associated ecosystem service categories for all photos posted to Flickr north of 60 degrees latitude between 01 Jan 2004 and 31 Dec 2017.
DOI: 10.18710/exqdrn/fanmii
title: 20130805_HOP_REDOBS_gal.txt
DOI: 10.18710/exqdrn/itw84m
title: 20130726_HOP_REDOBS_glo.txt
DOI: 10.18710/exqdrn/mmowhk
title: 20131014_HOP_REDOBS_gal.txt
DOI: 10.18710/exqdrn/wwvkli
title: 20131006_HOP_REDOBS_glo.txt
DOI: 10.18710/exqdrn/xmyr5u
title: 20131202_HOP_REDOBS_glo.txt
DOI: 10.18710/aqbbui/ekw2pt
title: qmigrant_response_mapping.txt

description: Response de-identifying mapping, English response names
DOI: 10.18710/dnkrye/drf03r
title: 20131214_BJN_REDOBS_glo.txt
DOI: 10.18710/dnkrye/erhv68
title: 20131230_BJN_REDOBS_gal.txt
DOI: 10.18710/dnkrye/ioliok
title: 20131213_BJN_REDOBS_glo.txt
DOI: 10.18710/dnkrye/jtr6zg
title: 20130809_BJN_REDOBS_glo.txt
DOI: 10.18710/duanrp/0j9yap
title: 03_Flickr_Artic_60N_googlelabels_escodes_Alaska.tab

description: Alaska: Google labels and associated ecosystem service categories for all photos posted to Flickr north of 60 degrees latitude between 01 Jan 2004 and 31 Dec 2017.
DOI: 10.18710/duanrp/a6uwra
title: 23_Flickr_googlecloudvision_postprocessing.r

description: R script for data processing
DOI: 10.18710/duanrp/c7denq
title: 10_Flickr_Artic_60N_googlelabels_escodes_Norway.tab

description: Norway: Google labels and associated ecosystem service categories for all photos posted to Flickr north of 60 degrees latitude between 01 Jan 2004 and 31 Dec 2017.
DOI: 10.18710/duanrp/ecbg3o
title: 26_Flickr_spatialoverlaps_for_gams.r

description: R script for data processing
DOI: 10.18710/duanrp/enzxwi
title: 12_Flickr_Artic_60N_googlelabels_escodes_Sweden.tab

description: Sweden: Google labels and associated ecosystem service categories for all photos posted to Flickr north of 60 degrees latitude between 01 Jan 2004 and 31 Dec 2017.
DOI: 10.18710/exqdrn/523fjl
title: 20130908_HOP_REDOBS_gps.txt
DOI: 10.18710/exqdrn/d1d2iy
title: 20130906_HOP_REDOBS_gps.txt
DOI: 10.18710/exqdrn/i6vljq
title: 20130827_HOP_REDOBS_gps.txt
DOI: 10.18710/exqdrn/q4ufij
title: 20130916_HOP_REDOBS_gps.txt
DOI: 10.18710/exqdrn/qn6v4n
title: 20131109_HOP_REDOBS_glo.txt
DOI: 10.18710/exqdrn/qypdhy
title: 20131008_HOP_REDOBS_glo.txt
DOI: 10.18710/exqdrn/vn4ik3
title: 20131125_HOP_REDOBS_gps.txt
DOI: 10.18710/exqdrn/vorifv
title: 20130919_HOP_REDOBS_glo.txt
DOI: 10.18710/exqdrn/wvw6dn
title: 20131214_HOP_REDOBS_gps.txt
DOI: 10.18710/klqvok/5d0syj
title: ref_err_time.tab
DOI: 10.18710/klqvok/czvldk
title: mw_lr_pbe.yaml
DOI: 10.18710/klqvok/oryahj
title: make_species_table.ipynb
DOI: 10.18710/klqvok/z3znse
title: mw_fd.yaml
DOI: 10.18710/kr5rrk/x8yyny
title: 01_ReadMe_Corpus.txt

description: ReadMe file to the corpus study
DOI: 10.18710/lqcny9/past13
title: 01_Community_level_Decomp.txt
DOI: 10.18710/yoilrp/3133p1
title: 20190612T105807Z_MINERALOIL.tif
DOI: 10.18710/yoilrp/ag1jqb
title: 20190612T114423Z_SOYAOIL.tif
DOI: 10.18710/yoilrp/cwaubd
title: 20190612T111058Z_MINERALOIL.tif
DOI: 10.18710/yoilrp/g1liaf
title: 20190612T115049Z_MINERALOIL.tif
DOI: 10.18710/yoilrp/jnkubg
title: 20190612T062440Z_MINERALOIL.tif
DOI: 10.18710/exqdrn/5qub4s
title: 20131118_HOP_REDOBS_gps.txt
DOI: 10.18710/exqdrn/9kulsv
title: 20131002_HOP_REDOBS_glo.txt
DOI: 10.18710/exqdrn/fuhcrn
title: 20131111_HOP_REDOBS_glo.txt
DOI: 10.18710/mxkqpe/l5fopv
title: Supplement_1.jpg

description: Supplement 1 from Koehl (2020).
DOI: 10.18710/mxkqpe/mnwtxj
title: Supplement_3.jpg

description: Supplement 3 from Koehl (2020).
DOI: 10.18710/yoilrp
title: Oil masks derived from airborne radar measurements for the NORSE2019 experiment

description: Oil masks are derived manually from a time series of synthetic aperture radar (SAR) images covering two different types of oil; one mineral oil emulsion and one soya oil emulsion that were released during an oil-on-water experiment (NORSE2019) in the North Sea June 2019 by NOFO (www.nofo.no). These SAR images were acquired over the exercise area with an aircraft from DLR using the F-SAR sensor (see Horn et al. (2009, July). “F-SAR - DLR’s new multifrequency polarimetric airborne SAR”. In IEEE Int. Geosci. and Remote Sens. symp. (Vol. 2). doi:10.1109/IGARSS.2009.5418244 for additional information about the sensor). 

The data and experiment are described in Brekke et al. “Integration of multi-sensor datasets and oil drift simulations - a free floating oil experiment in open ocean”, to be submitted.

The oil makes are stored as geoTiff files where 1's represent oil-covered areas and 0's for oil-free areas. The data needs to be opened using software supporting geospatial raster data. Some of the drawn oil masks are cropped since they are located on the edge of the scene.
DOI: 10.18710/dnkrye/qqebxd
title: 20131118_BJN_REDOBS_gal.txt
DOI: 10.18710/dnkrye/xedjxz
title: 20131102_BJN_REDOBS_gps.txt
DOI: 10.18710/ea5byx/syf99d
title: novatelLOADredOBSTEC.m

description: MATLAB routine for loading of the individual data files into a MATLAB workspace
DOI: 10.18710/exqdrn/n3oyuz
title: 20131103_HOP_REDOBS_gps.txt
DOI: 10.18710/dnkrye/4ewg7k
title: 20130926_BJN_REDOBS_glo.txt
DOI: 10.18710/dnkrye/6nrz5f
title: 20131015_BJN_REDOBS_gps.txt
DOI: 10.18710/dnkrye/cpsqmn
title: 20130917_BJN_REDOBS_gps.txt
DOI: 10.18710/dnkrye/elqq9w
title: 20130721_BJN_REDOBS_glo.txt
DOI: 10.18710/dnkrye/mmyfcj
title: 20131116_BJN_REDOBS_glo.txt
DOI: 10.18710/duanrp/acuomu
title: 13_Flickr_Artic_60N_googlelabels_escodes_UnitedKingdom.tab

description: United Kingdom: Google labels and associated ecosystem service categories for all photos posted to Flickr north of 60 degrees latitude between 01 Jan 2004 and 31 Dec 2017.
DOI: 10.18710/duanrp/d916o3
title: 09_Flickr_Artic_60N_googlelabels_escodes_Marine.tab

description: Marine: Google labels and associated ecosystem service categories for all photos posted to Flickr north of 60 degrees latitude between 01 Jan 2004 and 31 Dec 2017.
DOI: 10.18710/jwtjjb/o77mat
title: 00_README.txt
DOI: 10.18710/kr5rrk/j2q3rx
title: 05_Text_Questionnarie.pdf

description: Text of the questionnaire
DOI: 10.18710/dnkrye/1skc1t
title: 20130924_BJN_REDOBS_gps.txt
DOI: 10.18710/dnkrye/84uxcj
title: 20131122_BJN_REDOBS_gal.txt
DOI: 10.18710/dnkrye/ccwqnl
title: 20131210_BJN_REDOBS_glo.txt
DOI: 10.18710/dnkrye/um4ezo
title: 20131230_BJN_REDOBS_gps.txt
DOI: 10.18710/dnkrye/zybwjo
title: 20131123_BJN_REDOBS_gps.txt
DOI: 10.18710/duanrp/6zoavu
title: 08_Flickr_Artic_60N_googlelabels_escodes_Iceland.tab

description: Iceland: Google labels and associated ecosystem service categories for all photos posted to Flickr north of 60 degrees latitude between 01 Jan 2004 and 31 Dec 2017.
DOI: 10.18710/duanrp/zx4hf1
title: 07_Flickr_Artic_60N_googlelabels_escodes_Greenland.tab

description: Greenland: Google labels and associated ecosystem service categories for all photos posted to Flickr north of 60 degrees latitude between 01 Jan 2004 and 31 Dec 2017.
DOI: 10.18710/exqdrn/6uz5gq
title: 20131215_HOP_REDOBS_gal.txt
DOI: 10.18710/exqdrn/kkl9lc
title: 20130904_HOP_REDOBS_gal.txt
DOI: 10.18710/exqdrn/swwcfh
title: 20131008_HOP_REDOBS_gal.txt
DOI: 10.18710/kr5rrk/x6znbb
title: 09_Database_Questionnaire.txt

description: Database for the questionnaire study in .txt format
DOI: 10.18710/yoilrp/zbpzbw
title: 20190612T113056Z_MINERALOIL.tif
DOI: 10.18710/dnkrye/7qujng
title: 20131013_BJN_REDOBS_gps.txt
DOI: 10.18710/dnkrye/8cnatf
title: 20131201_BJN_REDOBS_gps.txt
DOI: 10.18710/dnkrye/aszvxf
title: 20130806_BJN_REDOBS_gal.txt
DOI: 10.18710/dnkrye/qa1ynq
title: 20130930_BJN_REDOBS_gal.txt
DOI: 10.18710/dnkrye/xjxlys
title: 20131003_BJN_REDOBS_gal.txt
DOI: 10.18710/exqdrn/c1q41q
title: 20131225_HOP_REDOBS_gal.txt
DOI: 10.18710/exqdrn/e2ivef
title: 20130806_HOP_REDOBS_glo.txt
DOI: 10.18710/exqdrn/k4ypua
title: 20131018_HOP_REDOBS_glo.txt
DOI: 10.5281/zenodo.17949286
title: LCA LCCA benchmarking datasets

description: These datasets include the Life Cycle Assessment (LCA) and Life Cycle Costing Assessment (LCCA) results produced for the two use cases, in the automotive and construction sectors, as part of the PIONEER project. The datasets facilitate economic and sustainability comparisons between the project's advanced manufacturing technology and traditional manufacturing techniques. The datasets for Use Case 1, which is related to the construction sector, include evaluations of conventional steel I-beams, hybrid beams made under AS-IS and TO-BE scenarios, conventional and Wire Arc Additive Manufacturing (WAAM)-based joints. For Use Case 2, the datasets cover full life cycle assessments of aluminium and composite upper control arms (UCAs), which are related to the automotive industry. These assessments include baseline, AS-IS, and TO-BE production scenarios, as well as alternative material configurations that incorporate recycled and biobased carbon fibers. AS-IS and TO-BE scenarios compare the manufacture of corresponding products before (AS-IS) and after (TO-BE) implementation of the PIONEER digital solutions to the Pilot Lines.

For LCA, the results are reported as calculated using the Environmental Footprint 3.1 impact assessment method, developed by the European Commission. It evaluates potential impacts using 16 impact categories, each representing a specific environmental concern such as Climate Change, Resource Depletion, Water Use, and Human Toxicity. These categories are calculated by converting inventory data (e.g., emissions, resource consumption) into environmental impact scores (e.g., kg CO2 equivalents of Climate Change potential), through scientifically established characterization models. The results provide a comprehensive view of how a product or process affects ecosystems, human health, and resource availability, enabling informed decisions for sustainability improvements, along its entire lifecycle (from raw materials to the end-of-life of products).

LCCA evaluates the total economic impact of a product or process across its entire life cycle, from design and production to use and end-of-life. Results here are expressed as total cost for the different products, categorized as capital expenditure (CAPEX), operational expenditure (OPEX), and other cost components such as maintenance and disposal.
DOI: 10.5281/zenodo.17949287
title: LCA LCCA benchmarking datasets

description: These datasets include the Life Cycle Assessment (LCA) and Life Cycle Costing Assessment (LCCA) results produced for the two use cases, in the automotive and construction sectors, as part of the PIONEER project. The datasets facilitate economic and sustainability comparisons between the project's advanced manufacturing technology and traditional manufacturing techniques. The datasets for Use Case 1, which is related to the construction sector, include evaluations of conventional steel I-beams, hybrid beams made under AS-IS and TO-BE scenarios, conventional and Wire Arc Additive Manufacturing (WAAM)-based joints. For Use Case 2, the datasets cover full life cycle assessments of aluminium and composite upper control arms (UCAs), which are related to the automotive industry. These assessments include baseline, AS-IS, and TO-BE production scenarios, as well as alternative material configurations that incorporate recycled and biobased carbon fibers. AS-IS and TO-BE scenarios compare the manufacture of corresponding products before (AS-IS) and after (TO-BE) implementation of the PIONEER digital solutions to the Pilot Lines.

For LCA, the results are reported as calculated using the Environmental Footprint 3.1 impact assessment method, developed by the European Commission. It evaluates potential impacts using 16 impact categories, each representing a specific environmental concern such as Climate Change, Resource Depletion, Water Use, and Human Toxicity. These categories are calculated by converting inventory data (e.g., emissions, resource consumption) into environmental impact scores (e.g., kg CO2 equivalents of Climate Change potential), through scientifically established characterization models. The results provide a comprehensive view of how a product or process affects ecosystems, human health, and resource availability, enabling informed decisions for sustainability improvements, along its entire lifecycle (from raw materials to the end-of-life of products).

LCCA evaluates the total economic impact of a product or process across its entire life cycle, from design and production to use and end-of-life. Results here are expressed as total cost for the different products, categorized as capital expenditure (CAPEX), operational expenditure (OPEX), and other cost components such as maintenance and disposal.
DOI: 10.18710/dnkrye/2nkjwc
title: 20131226_BJN_REDOBS_gps.txt
DOI: 10.18710/dnkrye/3oy82x
title: 20131217_BJN_REDOBS_gps.txt
DOI: 10.18710/dnkrye/4noqfd
title: 20130803_BJN_REDOBS_gps.txt
DOI: 10.18710/dnkrye/5d9va8
title: 20130928_BJN_REDOBS_gps.txt
DOI: 10.18710/dnkrye/a5iaf4
title: 20131204_BJN_REDOBS_gps.txt
DOI: 10.18710/dnkrye/bc4sxj
title: 20131228_BJN_REDOBS_gps.txt
DOI: 10.18710/dnkrye/bpucnd
title: 20130826_BJN_REDOBS_glo.txt
DOI: 10.18710/dnkrye/ddrpcx
title: 20130804_BJN_REDOBS_glo.txt
DOI: 10.18710/dnkrye/hhyzol
title: 20131119_BJN_REDOBS_gal.txt
DOI: 10.18710/dnkrye/hkuhlg
title: 20131005_BJN_REDOBS_gps.txt
DOI: 10.18710/dnkrye/kmfm6o
title: 20131019_BJN_REDOBS_gal.txt
DOI: 10.18710/dnkrye/ow5o97
title: 20131121_BJN_REDOBS_gps.txt
DOI: 10.18710/dnkrye/uyouhz
title: 20130818_BJN_REDOBS_gps.txt
DOI: 10.18710/dnkrye/vrbkea
title: 20131118_BJN_REDOBS_gps.txt
DOI: 10.18710/dnkrye/xysucp
title: 20131009_BJN_REDOBS_gps.txt
DOI: 10.18710/dnkrye/yhqmee
title: 20130801_BJN_REDOBS_glo.txt
DOI: 10.18710/dnkrye/zwcroj
title: 20131014_BJN_REDOBS_gps.txt
DOI: 10.18710/exqdrn/fbiu4f
title: 20130913_HOP_REDOBS_glo.txt
DOI: 10.18710/exqdrn/z1ouc2
title: 20131001_HOP_REDOBS_gps.txt
DOI: 10.18710/dnkrye/4ftmse
title: 20130905_BJN_REDOBS_gps.txt
DOI: 10.18710/dnkrye/6lgdpu
title: 20130826_BJN_REDOBS_gal.txt
DOI: 10.18710/dnkrye/cvss2k
title: 20130802_BJN_REDOBS_glo.txt
DOI: 10.18710/dnkrye/dj0tr3
title: 20131224_BJN_REDOBS_gal.txt
DOI: 10.18710/dnkrye/dlqsis
title: 20131216_BJN_REDOBS_gal.txt
DOI: 10.18710/dnkrye/eb6okb
title: 20131106_BJN_REDOBS_gps.txt
DOI: 10.18710/dnkrye/f9nyp9
title: 20131124_BJN_REDOBS_gps.txt
DOI: 10.18710/dnkrye/g4w5zo
title: 20130714_BJN_REDOBS_gps.txt
DOI: 10.18710/dnkrye/kbyix5
title: 20131022_BJN_REDOBS_gal.txt
DOI: 10.18710/dnkrye/lypasw
title: 20130811_BJN_REDOBS_gps.txt
DOI: 10.18710/dnkrye/qxgd8x
title: 20130928_BJN_REDOBS_gal.txt
DOI: 10.18710/dnkrye/qxyf3w
title: 20130727_BJN_REDOBS_gal.txt
DOI: 10.18710/dnkrye/vsaer6
title: 20130715_BJN_REDOBS_glo.txt
DOI: 10.18710/dnkrye/0qgktw
title: 20130724_BJN_REDOBS_glo.txt
DOI: 10.18710/dnkrye/6xgspf
title: 20130920_BJN_REDOBS_gal.txt
DOI: 10.18710/dnkrye/9smvza
title: 20131010_BJN_REDOBS_glo.txt
DOI: 10.18710/dnkrye/bsl54i
title: 20130831_BJN_REDOBS_gal.txt
DOI: 10.18710/dnkrye/dip9sv
title: 20131029_BJN_REDOBS_gps.txt
DOI: 10.18710/dnkrye/duwdss
title: 20131206_BJN_REDOBS_gps.txt
DOI: 10.18710/dnkrye/hn1uit
title: 20130730_BJN_REDOBS_gps.txt
DOI: 10.18710/dnkrye/nv9tlg
title: 20131108_BJN_REDOBS_glo.txt
DOI: 10.18710/dnkrye/ocrzxl
title: 20130814_BJN_REDOBS_gps.txt
DOI: 10.18710/dnkrye/qlfk9c
title: 20130714_BJN_REDOBS_glo.txt
DOI: 10.18710/dnkrye/ufbiu4
title: 20130823_BJN_REDOBS_glo.txt
DOI: 10.18710/dnkrye/xgtfna
title: 20131123_BJN_REDOBS_gal.txt
DOI: 10.18710/dnkrye/0uqtir
title: 20130927_BJN_REDOBS_glo.txt
DOI: 10.18710/dnkrye/62supv
title: 20130812_BJN_REDOBS_glo.txt
DOI: 10.18710/dnkrye/9yfd3n
title: 20131215_BJN_REDOBS_glo.txt
DOI: 10.18710/dnkrye/hmttfa
title: 20131212_BJN_REDOBS_gal.txt
DOI: 10.18710/dnkrye/lqqzus
title: 20131006_BJN_REDOBS_gps.txt
DOI: 10.18710/dnkrye/milzzh
title: 20130806_BJN_REDOBS_gps.txt
DOI: 10.18710/dnkrye/njs1qa
title: 20131002_BJN_REDOBS_gps.txt
DOI: 10.18710/dnkrye/prjjf5
title: 20130819_BJN_REDOBS_gps.txt
DOI: 10.18710/dnkrye/sqojra
title: 20131124_BJN_REDOBS_gal.txt
DOI: 10.18710/dnkrye/v5esxj
title: 20131026_BJN_REDOBS_glo.txt
DOI: 10.18710/dnkrye/vxeoct
title: 20131231_BJN_REDOBS_gal.txt
DOI: 10.18710/dnkrye/xyvba7
title: 20130913_BJN_REDOBS_gal.txt
DOI: 10.18710/exqdrn/hviarv
title: 20131104_HOP_REDOBS_gps.txt
DOI: 10.18710/dnkrye/6ixcsc
title: 20131216_BJN_REDOBS_gps.txt
DOI: 10.18710/dnkrye/bwpkki
title: 20131020_BJN_REDOBS_gal.txt
DOI: 10.18710/dnkrye/iodraj
title: 20131228_BJN_REDOBS_glo.txt
DOI: 10.18710/dnkrye/itvp3c
title: 20130929_BJN_REDOBS_gps.txt
DOI: 10.18710/dnkrye/qljpnh
title: 20131229_BJN_REDOBS_gps.txt
DOI: 10.18710/dnkrye/ruhnpr
title: 20130805_BJN_REDOBS_gps.txt
DOI: 10.18710/dnkrye/sdrabt
title: 20130828_BJN_REDOBS_gps.txt
DOI: 10.18710/dnkrye/seu34r
title: 20130919_BJN_REDOBS_gps.txt
DOI: 10.18710/dnkrye/sqx0i1
title: 20131101_BJN_REDOBS_gps.txt
DOI: 10.18710/dnkrye/zjj9ew
title: 20130829_BJN_REDOBS_glo.txt
DOI: 10.18710/exqdrn/2uetcx
title: 20131112_HOP_REDOBS_gps.txt
DOI: 10.18710/exqdrn/airgmt
title: 20131130_HOP_REDOBS_gal.txt
DOI: 10.18710/exqdrn/ay210l
title: 20130730_HOP_REDOBS_gps.txt
DOI: 10.18710/exqdrn/cgct1t
title: 20130906_HOP_REDOBS_glo.txt
DOI: 10.18710/exqdrn/fost8i
title: 20130824_HOP_REDOBS_gps.txt
DOI: 10.18710/exqdrn/kcowlx
title: 20131106_HOP_REDOBS_glo.txt
DOI: 10.18710/exqdrn/kt6fe6
title: 20130821_HOP_REDOBS_gal.txt
DOI: 10.18710/exqdrn/ml0evq
title: 20131104_HOP_REDOBS_gal.txt
DOI: 10.18710/exqdrn/q61tpt
title: 20130901_HOP_REDOBS_gal.txt
DOI: 10.18710/exqdrn/r1ow7s
title: 20131125_HOP_REDOBS_glo.txt
DOI: 10.18710/exqdrn/rjccnw
title: 20131221_HOP_REDOBS_gps.txt
DOI: 10.18710/exqdrn/t2hh38
title: 20131017_HOP_REDOBS_gps.txt
DOI: 10.18710/exqdrn/yan6mz
title: 20131110_HOP_REDOBS_glo.txt
DOI: 10.18710/exqdrn/yhjtlz
title: 20131011_HOP_REDOBS_glo.txt
DOI: 10.18710/exqdrn/zn4gvw
title: 20131021_HOP_REDOBS_gal.txt
DOI: 10.18710/dnkrye/nzlpfe
title: 20130926_BJN_REDOBS_gal.txt
DOI: 10.18710/dnkrye/zh4qsg
title: 20131027_BJN_REDOBS_gps.txt
DOI: 10.18710/exqdrn/3ayozu
title: 20131208_HOP_REDOBS_glo.txt
DOI: 10.18710/exqdrn/5yzfig
title: 20130812_HOP_REDOBS_glo.txt
DOI: 10.18710/exqdrn/6lz5ph
title: 20130808_HOP_REDOBS_gal.txt
DOI: 10.18710/exqdrn/6v7yxh
title: 20131113_HOP_REDOBS_gps.txt
DOI: 10.18710/exqdrn/84zfvd
title: 20131206_HOP_REDOBS_gps.txt
DOI: 10.18710/exqdrn/dpq814
title: 20130904_HOP_REDOBS_gps.txt
DOI: 10.18710/exqdrn/f10mhs
title: 20131020_HOP_REDOBS_gal.txt
DOI: 10.18710/exqdrn/il9i6i
title: 20131028_HOP_REDOBS_gps.txt
DOI: 10.18710/exqdrn/n8qweo
title: 20131127_HOP_REDOBS_gal.txt
DOI: 10.18710/exqdrn/nqroza
title: 20130729_HOP_REDOBS_glo.txt
DOI: 10.18710/exqdrn/paexcj
title: 20131210_HOP_REDOBS_glo.txt
DOI: 10.18710/exqdrn/s9xrfv
title: 20130815_HOP_REDOBS_gps.txt
DOI: 10.18710/exqdrn/scjciw
title: 20131218_HOP_REDOBS_gps.txt
DOI: 10.18710/exqdrn/sjrnu8
title: 20131231_HOP_REDOBS_gal.txt
DOI: 10.18710/exqdrn/u0kqws
title: 20131030_HOP_REDOBS_glo.txt
DOI: 10.18710/exqdrn/zoesba
title: 20130731_HOP_REDOBS_glo.txt
DOI: 10.18710/mxkqpe/diedix
title: Figure_5.jpg

description: Figure 5 from Koehl (2020).
DOI: 10.18710/mxkqpe/nv6lcs
title: Supplement_2.jpg

description: Supplement 2 from Koehl (2020).
DOI: 10.18710/yoilrp/x8xjge
title: 20190612T063245Z_MINERALOIL.tif
DOI: 10.18710/dnkrye/gzf0lb
title: 20131001_BJN_REDOBS_gal.txt
DOI: 10.18710/dnkrye/k29xz9
title: 20130902_BJN_REDOBS_gps.txt
DOI: 10.18710/dnkrye/kuxevd
title: 20131030_BJN_REDOBS_gal.txt
DOI: 10.18710/exqdrn/0gukvz
title: 20130719_HOP_REDOBS_gal.txt
DOI: 10.18710/exqdrn/aoxahg
title: 20130930_HOP_REDOBS_gps.txt
DOI: 10.18710/exqdrn/b8xsn7
title: 20131211_HOP_REDOBS_glo.txt
DOI: 10.18710/exqdrn/d2gbnp
title: 20131214_HOP_REDOBS_glo.txt
DOI: 10.18710/exqdrn/fw5llp
title: 20130903_HOP_REDOBS_gal.txt
DOI: 10.18710/exqdrn/neluaq
title: 20130730_HOP_REDOBS_gal.txt
DOI: 10.18710/exqdrn/okcntl
title: 20130820_HOP_REDOBS_gps.txt
DOI: 10.18710/exqdrn/okiwm0
title: 20130825_HOP_REDOBS_glo.txt
DOI: 10.18710/exqdrn/usx80w
title: 20131122_HOP_REDOBS_gps.txt
DOI: 10.18710/exqdrn/y4spj2
title: 20131220_HOP_REDOBS_gps.txt
DOI: 10.18710/exqdrn/yvdzfv
title: 20131121_HOP_REDOBS_gal.txt
DOI: 10.18710/dnkrye/ws17or
title: 20131218_BJN_REDOBS_gal.txt
DOI: 10.18710/exqdrn/cbgubs
title: 20130830_HOP_REDOBS_gps.txt
DOI: 10.18710/exqdrn/dh3j6v
title: 20130923_HOP_REDOBS_gps.txt
DOI: 10.18710/exqdrn/n2o33u
title: 20131114_HOP_REDOBS_gps.txt
DOI: 10.18710/exqdrn/r2efhy
title: 20131003_HOP_REDOBS_glo.txt
DOI: 10.18710/exqdrn/r5zguc
title: 20131122_HOP_REDOBS_glo.txt
DOI: 10.18710/exqdrn/uwks7x
title: 20130929_HOP_REDOBS_glo.txt
DOI: 10.18710/exqdrn/wsqijv
title: 20130729_HOP_REDOBS_gps.txt