cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18710/kmpo6n/inbf3m
title: 20220128_KHO_REDOBS_gal.txt
DOI: 10.18710/kmpo6n/ys1gkm
title: 20220125_KHO_REDOBS_gps.txt
DOI: 10.18710/kmpo6n/zi2gv3
title: 20220309_KHO_REDOBS_glo.txt
DOI: 10.18710/kmpo6n/zpp68i
title: 20220621_KHO_REDOBS_gps.txt
DOI: 10.18710/kmpo6n/27gajj
title: 20220122_KHO_REDOBS_glo.txt
DOI: 10.18710/kmpo6n/onehts
title: 20220303_KHO_REDOBS_gps.txt
DOI: 10.18710/kmpo6n/ptgvii
title: 20220222_KHO_REDOBS_gps.txt
DOI: 10.5281/zenodo.17935804
title: Digital Innovations in Nature-based Solutions: A Systematic Review of Digital Tools for Biodiversity Enhancement through Participatory Planning

description: This dataset consists of (1) Table Z1. Frequency and percentage of accessed studies under the analytical framework. It provides the assessment results of 24 empirical studies, which are structured under four dimensions: Urban Planning Background, Social Participation, Ecological Framing and Technological Outcomes; (2) Table Z2. Selected 19 digital tools for the social-ecological-technological (SET) assessment. This table presents data on the selected 19 digital tools from the literature review , including general Information of tools, and collected application details according to the definition of each factor under the Social, Ecological and Technological Pillars; (3) Table Z3. Evaluation results for the SET relevance level of the 19 digital tools. Each tool is assessed for its relevance to each pillar, from low to high, according to the relevance-level definitions for tools under the Social, Ecological, and Technological Pillars. Each tool finally receives an overall SET relevance score classified as follows: high, when at least two pillars of the four pillars were rated as high, and none were low; low, when two or more pillars were low; medium, all other combinations that did not meet the criteria for high or low.
DOI: 10.5281/zenodo.17935803
title: Digital Innovations in Nature-based Solutions: A Systematic Review of Digital Tools for Biodiversity Enhancement through Participatory Planning

description: This dataset consists of (1) Table Z1. Frequency and percentage of accessed studies under the analytical framework. It provides the assessment results of 24 empirical studies, which are structured under four dimensions: Urban Planning Background, Social Participation, Ecological Framing and Technological Outcomes; (2) Table Z2. Selected 19 digital tools for the social-ecological-technological (SET) assessment. This table presents data on the selected 19 digital tools from the literature review , including general Information of tools, and collected application details according to the definition of each factor under the Social, Ecological and Technological Pillars; (3) Table Z3. Evaluation results for the SET relevance level of the 19 digital tools. Each tool is assessed for its relevance to each pillar, from low to high, according to the relevance-level definitions for tools under the Social, Ecological, and Technological Pillars. Each tool finally receives an overall SET relevance score classified as follows: high, when at least two pillars of the four pillars were rated as high, and none were low; low, when two or more pillars were low; medium, all other combinations that did not meet the criteria for high or low.
DOI: 10.18710/kmpo6n/lhj4bg
title: 20220322_KHO_REDOBS_gps.txt
DOI: 10.18710/kmpo6n/7pmrzv
title: 20220326_KHO_REDOBS_glo.txt
DOI: 10.18710/kmpo6n/eyelck
title: 20220203_KHO_REDOBS_gps.txt
DOI: 10.18710/kmpo6n/j5pjay
title: 20220516_KHO_REDOBS_gps.txt
DOI: 10.18710/kmpo6n/pzx042
title: 20220401_KHO_REDOBS_glo.txt
DOI: 10.18710/kmpo6n/tmu09v
title: 20220313_KHO_REDOBS_glo.txt
DOI: 10.18710/kmpo6n/y9iplq
title: 20220601_KHO_REDOBS_gal.txt
DOI: 10.18710/kmpo6n/8zgdo9
title: 20220102_KHO_REDOBS_gps.txt
DOI: 10.18710/kmpo6n/cnahyq
title: 20220127_KHO_REDOBS_glo.txt
DOI: 10.18710/kmpo6n/eycozm
title: 20220410_KHO_REDOBS_glo.txt
DOI: 10.18710/kmpo6n/vqzuhv
title: 20220531_KHO_REDOBS_glo.txt
DOI: 10.18710/kmpo6n/wvzgpj
title: 20220404_KHO_REDOBS_gal.txt
DOI: 10.18710/kmpo6n/dulbcg
title: 20220601_KHO_REDOBS_gps.txt
DOI: 10.18710/b7bwxo/mridkf
title: Particle Collection.pdf
DOI: 10.18710/gdt85x/dvfpcu
title: Exp4_Scope_x_time.nc
DOI: 10.18710/gdt85x/g8pjpl
title: Exp2_Scope_x_time.nc
DOI: 10.18710/kmpo6n/1q51ds
title: 20220413_KHO_REDOBS_gal.txt
DOI: 10.18710/kmpo6n/fthkrg
title: 20220425_KHO_REDOBS_gal.txt
DOI: 10.18710/kmpo6n/qrfapl
title: 20220423_KHO_REDOBS_gps.txt
DOI: 10.18710/kmpo6n/s8tndr
title: 20220606_KHO_REDOBS_glo.txt
DOI: 10.18710/kmpo6n/wihaxw
title: 20220625_KHO_REDOBS_gal.txt
DOI: 10.18710/kmpo6n/xtyeba
title: 20220403_KHO_REDOBS_glo.txt
DOI: 10.18710/kmpo6n/yjuksc
title: 20220623_KHO_REDOBS_gps.txt
DOI: 10.18710/kmpo6n/yzjkjt
title: 20220422_KHO_REDOBS_gps.txt
DOI: 10.18710/kmpo6n/zzgolj
title: 20220504_KHO_REDOBS_gal.txt
DOI: 10.18710/kmpo6n/zzlra9
title: 20220616_KHO_REDOBS_glo.txt
DOI: 10.18710/wqwo24
title: Replication data for: Resource use of Crucian carp along a lake productivity gradient is related to body size, predation risk, and resource competition

description: We provide stable isotope and gut content data for crucian carp (Carassius carassius) from 12 study lakes located in southeastern Norway. Data were collected between June and August in 2018 and 2019. The stable isotope dataset (SIA) contains nitrogen and carbon stable isotope values of 30 crucian carp for each lake. In addition, we present collected abiotic and biotic data associated with the different lakes. We also provide the total body length, body height, weight, and sex of the different fish species collected in each lake.
description: Article Abstract:
Generalist fish species can feed on a wide resource spectrum and across trophic levels depending on resource availability and trophic interactions. Crucian carp (Carassius carassius) represents a good candidate species to investigate variation in the trophic ecology of generalist fish as it can be found in highly variable fish communities and its resource use is well documented. In this study, we explored the trophic ecology of crucian carp at the individual and population levels using stable isotope and gut content analysis. We tested if trophic resource use varied according to lake productivity, predation risk, intra- and interspecific competition, or individual fish size. We found that crucian carp resource preference was highly variable among and within lakes. In predator-free lakes, small crucian carp occurred in high densities, showed increased inter-individual specialization, and relied mainly on pelagic zooplankton. In presence of predators, large crucian carp occurred in low densities and included greater proportions of benthic macroinvertebrates in their diet. This shift in resource use was further favored in productive, shallow lakes where littoral prey were probably abundant. Resource partitioning was an important factor determining crucian carp niche use, as fish had higher trophic position in absence of other cyprinids. Crucian carp showed highly dynamic resource use and food preferences in response to variable environmental conditions. Overlooking complex diet preferences of generalist fish may lead to an oversimplification of freshwater community dynamics.
DOI: 10.18710/4yn9sz/q1bmc7
title: manual_validation.tar.0000
DOI: 10.18710/gdt85x/uk8prb
title: Exp7_Scope_y_voltage.nc
DOI: 10.18710/gyvnel/ri3re4
title: 02_Figure-1.jpg

description: Application scenarios of the studied HTHPs
DOI: 10.18710/hk6cv6/ehqhzu
title: 00_ReadMe.txt
DOI: 10.18710/kmpo6n/17etfa
title: 20220522_KHO_REDOBS_gal.txt
DOI: 10.18710/kmpo6n/8ys89a
title: 20220626_KHO_REDOBS_gal.txt
DOI: 10.18710/kmpo6n/a4zmqz
title: 20220514_KHO_REDOBS_glo.txt
DOI: 10.18710/kmpo6n/awjdzp
title: 20220412_KHO_REDOBS_glo.txt
DOI: 10.18710/kmpo6n/cgyilw
title: 20220515_KHO_REDOBS_glo.txt
DOI: 10.18710/kmpo6n/e8thyk
title: 20220420_KHO_REDOBS_gps.txt
DOI: 10.18710/kmpo6n/en9nva
title: 20220622_KHO_REDOBS_gps.txt
DOI: 10.18710/kmpo6n/hque9h
title: 20220413_KHO_REDOBS_gps.txt
DOI: 10.18710/kmpo6n/i2nrmb
title: 20220521_KHO_REDOBS_gal.txt
DOI: 10.18710/kmpo6n/leoxk5
title: 20220404_KHO_REDOBS_glo.txt
DOI: 10.18710/kmpo6n/r2isap
title: 20220516_KHO_REDOBS_gal.txt
DOI: 10.18710/kmpo6n/r7h90i
title: 20220617_KHO_REDOBS_gal.txt
DOI: 10.18710/kmpo6n/rkxjjd
title: 20220512_KHO_REDOBS_glo.txt
DOI: 10.18710/kmpo6n/ufslyn
title: 20220615_KHO_REDOBS_glo.txt
DOI: 10.18710/kmpo6n/v0oob1
title: 20220415_KHO_REDOBS_glo.txt
DOI: 10.18710/kmpo6n/valzov
title: 20220509_KHO_REDOBS_gal.txt
DOI: 10.18710/kmpo6n/wsam9z
title: 20220602_KHO_REDOBS_gps.txt
DOI: 10.18710/kmpo6n/ybhxkq
title: 20220513_KHO_REDOBS_glo.txt
DOI: 10.18710/kmpo6n/ydnhvs
title: 20220426_KHO_REDOBS_gps.txt
DOI: 10.18710/kmpo6n/yxzz2s
title: 20220606_KHO_REDOBS_gal.txt
DOI: 10.18710/7sngix
title: Supporting Data for: Globally Accessible Distributed Data Sharing (GADDS): a decentralized FAIR platform to facilitate data sharing in the life sciences

description: Experimental data and metadata used to demostrate the use of the Globally Accessible Distributed Data Sharing (GADDS) platform. The experiemental data is used only to ilustrate the use the GADDS platform in a life science context.
The Globally Accessible Distributed Data Sharing (GADDS) platform to facilitate FAIR-like data-sharing in cross-disciplinary research collaborations.
description: Globally Accessible Distributed Data Sharing (GADDS)
DOI: 10.18710/b7bwxo/ihydsk
title: LEM-PLAG.zip
DOI: 10.18710/b7bwxo/ywiec9
title: MERRILL Data OPX.zip
DOI: 10.18710/hk6cv6/5vraea
title: M6_fields000.dat
DOI: 10.18710/hk6cv6/9qhdhd
title: S4_fields058.dat
DOI: 10.18710/kmpo6n/k4kzte
title: 20220517_KHO_REDOBS_gps.txt
DOI: 10.18710/kmpo6n/mpxgx1
title: 20221213_KHO_REDOBS_gal.txt
DOI: 10.18710/nicox0/miqwch
title: 0_README_AccentSpeech_20220628.txt

description: README file with general and methodological information about the study, as well as an overview of the data and files.
DOI: 10.18710/spjy5h/id8hnx
title: TGO_Ramfjordmoen_ionosonde_data_1986-06_PNG.zip
DOI: 10.18710/xoyehp
title: References to scholars and linguistic sources in the two editions of Sajnovics’ Demonstratio idioma Ungarorum et Lapponum idem esse (Hafniae, 1770; Tyrnaviae, 1771)

description: The purpose of this dataset is to provide information on all references to scholars and linguistic sources in the two editions of Joannes (János) Sajnovics' "Demonstratio idioma Ungarorum et Lapponum idem esse" (Hafniae, [1770]; Tyrnaviae, [1771]).
DOI: 10.18710/kmpo6n/kwl8kg
title: 20221119_KHO_REDOBS_gal.txt
DOI: 10.18710/kmpo6n/6vicw4
title: 20220413_KHO_REDOBS_glo.txt
DOI: 10.18710/kmpo6n/845xzx
title: 20220629_KHO_REDOBS_gal.txt
DOI: 10.18710/kmpo6n/bgj942
title: 20220420_KHO_REDOBS_gal.txt
DOI: 10.18710/kmpo6n/bqi7po
title: 20220530_KHO_REDOBS_gps.txt
DOI: 10.18710/kmpo6n/buc3xy
title: 20220611_KHO_REDOBS_gps.txt
DOI: 10.18710/kmpo6n/hotaxc
title: 20220630_KHO_REDOBS_gal.txt
DOI: 10.18710/kmpo6n/lymown
title: 20220510_KHO_REDOBS_glo.txt
DOI: 10.18710/kmpo6n/pyvyve
title: 20220521_KHO_REDOBS_glo.txt
DOI: 10.18710/kmpo6n/wsmixv
title: 20220525_KHO_REDOBS_gps.txt
DOI: 10.18710/4yn9sz/irfpot
title: patient_dataset.tar.0001
DOI: 10.18710/7sngix/2xubl8
title: 00_README.txt

description: Readme file
DOI: 10.18710/gyvnel/cjzhpl
title: 07_Figure-6.jpg

description: The COPs of the studied HTHP systems with temperature lift at different heat source temperatures (only the lowest heat source temperature is presented for the ACHP system)
DOI: 10.18710/izo5xn/z3oubm
title: TGO_Ramfjordmoen_ionosonde_data_2022-05.PNG.zip
DOI: 10.18710/kmpo6n/5uwsas
title: 20221007_KHO_REDOBS_glo.txt
DOI: 10.18710/kmpo6n/6mgruy
title: 20221107_KHO_REDOBS_gps.txt
DOI: 10.18710/kmpo6n/b5qp6w
title: 20221220_KHO_REDOBS_gps.txt
DOI: 10.18710/kmpo6n/bftcxd
title: 20220522_KHO_REDOBS_gps.txt
DOI: 10.18710/kmpo6n/gogxxs
title: 20221216_KHO_REDOBS_gps.txt
DOI: 10.18710/kmpo6n/jtkzq7
title: 20220409_KHO_REDOBS_gps.txt
DOI: 10.18710/kmpo6n/pfwofj
title: 20220408_KHO_REDOBS_glo.txt
DOI: 10.18710/kmpo6n/yqo1bm
title: 20220501_KHO_REDOBS_gal.txt
DOI: 10.18710/z0odia
title: Supporting Data for: Sea-ice biomarker and sea-ice index data from core HH15-1252PC

description: This dataset contains sea-ice biomarker data IP25, HBI III and HBI IV, and sea-ice indicator SpSIC (Spring Sea Ice Concentration) and HBI25T, measured in core HH15-1252PC from Vestnesa Ridge (West Svalbard, 79.04°N; 6.89°E; 1273 m water depth). The record covers the last 63,000 to 13,000 years.
DOI: 10.18710/kmpo6n/erxyaq
title: 20221224_KHO_REDOBS_glo.txt
DOI: 10.18710/tgw1eh/jsheh8
title: 04CLARIN_licenses_in_TROLLing.pdf
DOI: 10.18710/7bfjqq/amocld
title: 01_ReadMeFile.txt
DOI: 10.18710/bsog2s/5bjo3i
title: figure.tif

description: Image of the prototype two-stage BPHX with all measuring instruments installed in the test-rig
DOI: 10.18710/dopume/dk0th0
title: TGO_Ramfjordmoen_ionosonde_data_1986-11_PNG.zip
DOI: 10.18710/fueqlm/0d2bvy
title: TGO_Ramfjordmoen_ionosonde_data_1985-06_PNG.zip
DOI: 10.18710/fueqlm/ampapc
title: 01_ReadMeFile.txt
DOI: 10.18710/xse7xu/vlbhwz
title: 01_ReadMeFile.txt
DOI: 10.18710/zm973l
title: Replication Data for: A technique for volumetric incoherent scatter radar analysis

description: Programming code and background files for article "A technique for volumetric incoherent scatter radar analysis". The code relates ion velocity to neutral velocity and electric field in the ionosphere. This is performed by solving the momentum equation in three dimensions and adding Mawells equations, continuity equation and other assumptions as constraints.
description: Volumetric measurements of the ionosphere are important for investigating spatial variations of ionospheric features, like auroral arcs and energy deposition in the ionosphere. In addition, such measurements make it possible to distinguish between variations in space and time. While spatial variations in scalar quantities such as electron density or temperature have been investigated with ISR before, spatial variation in the ion velocity, which is a vector quantity, has been hard to measure. The upcoming EISCAT3D radar will be able to do volumetric measurements of ion velocity regularly for the first time. In this article, we present a technique for relating volumetric measurements of ion velocity to neutral wind and electric field. To regularize the estimates, we use Maxwell's equations and fluid-dynamic constraints. The study shows that accurate volumetric estimates of electric field can be achieved. Electric fields can be resolved at altitudes above 120 km which is the altitude range where auroral current closure occurs. Neutral wind can be resolved at altitudes below 120 km.
description: Julia, 1.7
description: Python, 3.10
DOI: 10.18710/0anf8u/15ixtt
title: 01_ReadMeFile.txt
DOI: 10.18710/bd6yav/yllsov
title: TGO_Ramfjordmoen_ionosonde_data_1987-03_PNG.zip
DOI: 10.18710/c1klgr/f8u3xv
title: TGO_Ramfjordmoen_ionosonde_data_1987-10_PNG.zip
DOI: 10.18710/ct6qeb/td4zal
title: TGO_Ramfjordmoen_ionosonde_data_1987-07_PNG.zip
DOI: 10.18710/dpmrnz/0w2vwh
title: 01_ReadMeFile.txt
DOI: 10.18710/dwy3ws/fywhur
title: TGO_Ramfjordmoen_ionosonde_data_1989-01_PNG.zip
DOI: 10.18710/fd1zhz
title: Background data for: Grisefine lunger field trial

description: &lt;p&gt;The dataset stems from a field trial of 14 Norwegian pig herds, in a case/control study of respiratory disease outbreaks. In seven herds with reported outbreaks of acute respiratory disease, data on clinical signs was recorded and samples for laboratory examination were collected. Diagnostic protocols were compared by parallel analysis of clinically healthy pigs from seven non-outbreak herds.&lt;/p&gt;
&lt;p&gt;Data was collected through diagnostic sampling of pigs, including serum samples, oral fluid samples and bacteriology following autopsy of respiratory organs. Epidemiological data was collected through farmer interviews and on farm registration. Data regarding biosecurity on farm was collected by the use of a standardized protocol for biosecurity scoring, the biocheck.Ugent. Additionally, production data and disease registration at slaughter has been collected through slaughterhouse reports from the individual farms.&lt;/p&gt;
DOI: 10.18710/irhtmp/itxjvj
title: TGO_Ramfjordmoen_ionosonde_data_1987-08_PNG.zip
DOI: 10.18710/iynkez/qnb9jw
title: Figure_3_sample_leaf_wax_abundances.txt

description: The data behind Figure 3 includes the abundance (%) of all measured leaf wax n-alkane chain lengths for each down-core sample (with accompanying depth and age information), as well as the Average Chain Length (ACL).
DOI: 10.18710/kvjuwn/gh279v
title: TGO_Ramfjordmoen_ionosonde_data_1987-11_PNG.zip
DOI: 10.18710/nicox0/zzszuw
title: Stimulus Materials.csv

description: Overview of the stimulus materials used for the lexical decision task and the phoneme categorisation task.
DOI: 10.18710/s09hze/unveok
title: TGO_Ramfjordmoen_ionosonde_data_1989-03_PNG.zip
DOI: 10.18710/zx0djb/tuijee
title: 01_ReadMeFile.txt
DOI: 10.18710/18mzpk/gze6r2
title: 01_ReadMeFile.txt
DOI: 10.18710/1syrpe/5fuffx
title: TGO_Ramfjordmoen_ionosonde_data_1992-03_PNG.zip
DOI: 10.18710/clajuk/jwbcv2
title: 01_ReadMeFile.txt
DOI: 10.18710/dpmrnz/uy2p6h
title: TGO_Ramfjordmoen_ionosonde_data_1991-04_PNG.zip
DOI: 10.18710/dsq4o5/4vnvkj
title: 01_ReadMeFile.txt
DOI: 10.18710/hrelfp/sqt6jt
title: TGO_Ramfjordmoen_ionosonde_data_1993-12_SAO.zip
DOI: 10.18710/kmpo6n/2lxilw
title: 20221203_KHO_REDOBS_gal.txt
DOI: 10.18710/kmpo6n/dt0ymo
title: 20221107_KHO_REDOBS_glo.txt
DOI: 10.18710/miqgdg/zc7riu
title: 01_ReadMeFile.txt
DOI: 10.18710/nmdpcl/u8j4y7
title: 01_ReadMeFile.txt
DOI: 10.18710/nnzx42/ymjnqq
title: TGO_Ramfjordmoen_ionosonde_data_1993-09_SAO.zip
DOI: 10.18710/op6ayu/dsrhu2
title: TGO_Ramfjordmoen_ionosonde_data_1991-02_PNG.zip
DOI: 10.18710/op6ayu/ys9ytn
title: 01_ReadMeFile.txt
DOI: 10.18710/ppu3dw/4oagyv
title: 01_ReadMeFile.txt
DOI: 10.18710/s09hze/g5z599
title: 01_ReadMeFile.txt
DOI: 10.18710/s5lft4/fmfxir
title: TGO_Ramfjordmoen_ionosonde_data_1991-01_PNG.zip
DOI: 10.18710/sm5da1/ythjjb
title: TGO_Ramfjordmoen_ionosonde_data_1988-04_PNG.zip
DOI: 10.18710/vbnzj7/1wpp21
title: 01_ReadMeFile.txt
DOI: 10.18710/wqqkee/qk7zr1
title: 01_ReadMeFile.txt
DOI: 10.18710/x4wrrj/tgrm9y
title: 01_ReadMeFile.txt
DOI: 10.18710/y11etc/6zyjx3
title: TGO_Ramfjordmoen_ionosonde_data_1995-08_SAO.zip
DOI: 10.18710/ytikaf/2yvqaq
title: TGO_Ramfjordmoen_ionosonde_data_1989-11_PNG.zip
DOI: 10.18710/zonquz/byqefl
title: 01_ReadMeFile.txt
DOI: 10.18710/2p4fje/kg6zmn
title: TGO_Ramfjordmoen_ionosonde_data_2002-08_PNG.zip
DOI: 10.18710/aolbvm/q2hwse
title: 01_ReadMeFile.txt
DOI: 10.18710/e70mkv/kk41id
title: 01_ReadMeFile.txt
DOI: 10.18710/fub63y/2dhg0q
title: TGO_Ramfjordmoen_ionosonde_data_1994-03_SAO.zip
DOI: 10.18710/hnlx6r/idkr4y
title: 01_ReadMeFile.txt
DOI: 10.18710/jgxiy9/chotpf
title: 01_ReadMeFile.txt
DOI: 10.18710/kmpo6n/0ghglc
title: 20221101_KHO_REDOBS_gal.txt
DOI: 10.18710/kmpo6n/2npvqo
title: 20221103_KHO_REDOBS_glo.txt
DOI: 10.18710/kmpo6n/2svixf
title: 20221013_KHO_REDOBS_gal.txt
DOI: 10.18710/kmpo6n/48niub
title: 20221229_KHO_REDOBS_glo.txt
DOI: 10.18710/kmpo6n/9nnmrs
title: 20221117_KHO_REDOBS_gps.txt
DOI: 10.18710/kmpo6n/bwvyn7
title: 20221014_KHO_REDOBS_gps.txt
DOI: 10.18710/kmpo6n/cbn7hn
title: 20221028_KHO_REDOBS_glo.txt
DOI: 10.18710/kmpo6n/dbb64o
title: 20221203_KHO_REDOBS_glo.txt
DOI: 10.18710/kmpo6n/eutllc
title: 20221204_KHO_REDOBS_gal.txt
DOI: 10.18710/kmpo6n/fxrm0r
title: 20221111_KHO_REDOBS_gal.txt
DOI: 10.18710/kmpo6n/h5f8kb
title: 20221128_KHO_REDOBS_glo.txt
DOI: 10.18710/kmpo6n/jsak1v
title: 20221026_KHO_REDOBS_glo.txt
DOI: 10.18710/kmpo6n/mvy9xy
title: 20221230_KHO_REDOBS_gal.txt
DOI: 10.18710/kmpo6n/pavpmh
title: 20221116_KHO_REDOBS_gps.txt
DOI: 10.18710/kmpo6n/ptzzqw
title: 20221219_KHO_REDOBS_gal.txt
DOI: 10.18710/kmpo6n/t2jylv
title: 20221113_KHO_REDOBS_gps.txt
DOI: 10.18710/kmpo6n/ujlg29
title: 20221222_KHO_REDOBS_gal.txt
DOI: 10.18710/kmpo6n/uoyebg
title: 20221111_KHO_REDOBS_glo.txt
DOI: 10.18710/kmpo6n/wcmd0y
title: 20221123_KHO_REDOBS_glo.txt
DOI: 10.18710/kmpo6n/wya6p1
title: 20221004_KHO_REDOBS_glo.txt
DOI: 10.18710/nnzx42/2rw7ei
title: 01_ReadMeFile.txt
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