cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18710/umdoq0/dvyqlm
title: 20230925_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/eabv0j
title: 20230812_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/fyuzke
title: 20230719_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/gjltdv
title: 20230930_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/glxsps
title: 20230820_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/jkvljb
title: 20230825_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/on7qyr
title: 20230730_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/vps0wp
title: 20230731_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/vqtzti
title: 20230921_KHO_REDTEC_glo.txt
DOI: 10.5281/zenodo.17236966
title: Regulation of Chemical Transformation in Designer Peptide Biomolecular Condensates
DOI: 10.5281/zenodo.17950196
title: Regulation of Chemical Transformation in Designer Peptide Biomolecular Condensates
DOI: 10.18710/aa7qla/rg7pzz
title: gini.csv
DOI: 10.18710/ow27b6/j0oeqp
title: 005_all_CO2_data.txt
DOI: 10.18710/umdoq0/28qg5l
title: 20230728_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/7ntekw
title: 20230712_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/b11me1
title: 20230918_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/eloaqw
title: 20230829_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/elthtq
title: 20230810_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/gt7lmx
title: 20230803_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/ieeu4g
title: 20230909_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/iyjyp1
title: 20230916_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/j06ltq
title: 20230903_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/jwzn7q
title: 20230712_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/ldnw2h
title: 20230812_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/npvbmn
title: 20230918_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/obv4yl
title: 20230722_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/pifk2k
title: 20230714_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/rzgnyr
title: 20230721_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/v5gh2x
title: 20230825_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/x1runm
title: 20230707_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/xoosl8
title: 20230801_KHO_REDTEC_gps.txt
DOI: 10.18710/5eosvj/073neq
title: BeadpackDynamicsCTscans131-140.zip

description: :unav
DOI: 10.18710/aa7qla/cj29kq
title: ef_years_selected.RDS
DOI: 10.18710/aa7qla/ly1pv6
title: vdem_save_date.txt
DOI: 10.18710/lgcnka/ulh5s3
title: 06_YearlyTemp.csv

description: Microclimate summarized for one year starting 1 October 2022
DOI: 10.18710/lgcnka/uuqmfr
title: 08_CWD_volumes.csv

description: Plot-level data on dead wood volumes
DOI: 10.18710/lznlfx/rozanj
title: PP_1.raw.zip
DOI: 10.18710/lznlfx/znitth
title: PB_2_2.raw.zip
DOI: 10.18710/t1vqla/ddus8w
title: _Simulation_Log_Sheet_11.csv
DOI: 10.18710/t1vqla/hcnmsk
title: heat_map_p2.png
DOI: 10.18710/t1vqla/jwembq
title: navigation_scenario_eye_tracking_data.txt
DOI: 10.18710/t1vqla/ln2lav
title: WP1_zigzag_1.csv
DOI: 10.18710/t1vqla/nhxhnq
title: 3_5_2023_D_Ship_Dynamics.csv
DOI: 10.18710/t1vqla/oxzogx
title: Simulator_Notes__05_2023.pdf
DOI: 10.18710/t1vqla/w8mwsi
title: p10_CustomTrial_Samples.txt
DOI: 10.18710/te5zog/jj2lyz
title: LearningToPredict_accuracy.R.txt

description: The R script for the model on response accuracy
DOI: 10.18710/tgrolw/bk9d4g
title: 20230426_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/btxdfo
title: 20230209_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/dq7qas
title: 20230203_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/n03hew
title: 20230504_NYA_REDTEC_glo.txt
DOI: 10.18710/2hdgga/cytorv
title: 01_Cheese_analysis.txt
DOI: 10.18710/5eosvj/azkd3n
title: Bentheimer_dynamics.zip

description: Fast CT scans of two-phase fluid flow in Benthimer.
DOI: 10.18710/5eosvj/tmgm9p
title: BeadpackDynamicsCTscans141-150.zip
DOI: 10.18710/j98mla/zxmrgc
title: Supplements_for_Koehl_2024.zip

description: Supplements for Koehl 2024.
DOI: 10.18710/l0vpw7/8kwbdw
title: SBL054_Subt4__22__17-19-22-097.txt
DOI: 10.18710/l4ony6/euor3r
title: 20240114_HOP_REDTEC_glo.txt
DOI: 10.18710/ltho8b/68a41t
title: Figure_7_data.txt
DOI: 10.18710/ltho8b/hum8rs
title: Figure_8_data.txt
DOI: 10.18710/ltho8b/vkixz5
title: Figure_1.png
DOI: 10.18710/lznlfx/8qdndp
title: PS_5a.raw.zip
DOI: 10.18710/ow27b6/ofsppg
title: 009_KEGG_C_cycling.R
DOI: 10.18710/ow27b6/qdiai7
title: 011_16S_data.txt
DOI: 10.18710/ozpaww/q1fiqf
title: 20241011_BJN_REDTEC_gps.txt
DOI: 10.18710/ozpaww/tv9yro
title: 20241018_BJN_REDTEC_gps.txt
DOI: 10.18710/pq0uwz/0qz7g2
title: 20211026.txt
DOI: 10.18710/pq0uwz/1ri2gs
title: 20211125.txt
DOI: 10.18710/prdht1/hl0ax2
title: 00_README_for_Quant_Dev_Data.txt

description: ReadMe-file for "Replication Data for Quantifying Devotion: A Mixed-Methods Study of Pious Donation in the Nidaros Province, c. 1160–1540." May be opened using any text editor.
DOI: 10.18710/rxiuhf/lovcg0
title: 03_Uniaxial_compression_B02_2.15-2.40_CSR.txt
DOI: 10.18710/t1vqla/jmuooi
title: scan_path_p9.png
DOI: 10.18710/t1vqla/m5liwa
title: p1_CustomTrial_Samples.txt
DOI: 10.18710/t1vqla/obox5s
title: savedrecs_5.txt
DOI: 10.18710/te5zog/8z6o7o
title: LearningToPredict_GAMM_and_plots.R.txt

description: The R script for the model and graphs on response times
DOI: 10.18710/tgrolw/13dsg2
title: 20230509_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/6qsa3j
title: 20230117_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/eafxut
title: 20230409_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/mgdsz1
title: 20230526_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/tu3y69
title: 20230521_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/xfekjy
title: 20230618_NYA_REDTEC_gps.txt
DOI: 10.18710/ycq5hc/e1ingc
title: 00_README.txt

description: Documentation of the dataset
DOI: 10.18710/zzasba/yapfhw
title: train_datasheet.csv

description: Comma separated table with "slide_id", "label", "img_name", and "split" columns for train subset
DOI: 10.18710/4moq4h
title: Supporting Data for: The impact of the 6th century crisis – exploring burials as a proxy for population dynamics in Iron Age Scandinavia

description: Database of 6,771 dated Iron Age burials from South Norway
description: &lt;p&gt; This study examines population dynamics in South Norway during the Iron Age, focusing on the mid-6th century crisis and its aftermath. Analysis of nearly 7,000 dated burials reveals a substantial decline of over 75 per cent post-6th century compared with the preceding period. Set against other archaeological data, this indicates a decline in the population of South Norway.&lt;/p&gt;
&lt;p&gt;The period of societal turmoil and decline may have started earlier, but was likely catalysed by the volcanic eruptions of 536 and 540 CE and the following colder period, and possible also by plague pandemics. The ramifications of the mid-6th century crisis were exacerbated by the population increase in the preceding periods, where the population may have been nearing its regional carrying capacity.&lt;/p&gt;
&lt;p&gt;Although devastating, the 6th century crisis may also have opened up new possibilities for those who made it through, perhaps initiating a brief period of relative social and economic equality, similar to the initial consequences of the Black Death.&lt;/p&gt;
&lt;p&gt;Contrasting with the 6th century, South Norway’s Viking Age saw ample burials, attributed to factors including a warmer climate, advanced agriculture, surplus production, trade expansion and increased slavery. The shift highlights complex interactions between environmental, economic and social factors in the shaping of population dynamics in Iron Age South Norway.&lt;/p&gt;
DOI: 10.18710/5eosvj/unxrq5
title: BeadpackDynamicsCTscans51-60.zip

description: :unav
DOI: 10.18710/igv7xu
title: Replication Data for: Dispersal and gene flow among potential spawners: source-sink structure among populations of anadromous brown trout exposed to multi-faceted anthropogenic impacts.

description: Dispersal has consequences for individual fitness but can also influence local dynamics, stability, and adaptation in interconnected populations. Anadromous salmonid fishes are famed for their precise homing and adaptations to local aquatic environments, whilst navigating between multiple connected habitats. However, recent studies have instead demonstrated considerable straying among connected systems, forming metapopulation dynamics among sub-populations or demes. Salmonids constitute valuable economic and ecological resources, yet many populations are declining due to multifaceted anthropogenic-induced disturbances. This context of reduced populations inhabiting altered environments may impact both population viability and dispersal.

To explore if metapopulation processes are present among impacted neighbouring populations of anadromous brown trout (Salmo trutta), a four-year study of individual dispersal behaviour (biotelemetry, N = 84) and genetic analysis (N = 142) was conducted in four populations, connected by an extensive (&gt; 200 km), semi-enclosed fjord system, Sognefjorden, Norway. To estimate the demographic status of each study population life-table matrices were built, from which a potential source-sink structure among demes could be identified.
description: R studio, 4.3.2
description: QGIS, 3.36.2
description: BayeScan, 2.1
description: Arlequin, 3.5.1.2
description: STRUCTURE, 2.3.3
description: CLUMPP, 1.1.2
description: BA3-SNPs, 3.0.4
description: BLAST+, 2.14.1
description: NeEstimator, 2.01
DOI: 10.18710/pwuqbp
title: Replication Data for: Ecological implications of the pink salmon invasion in northern Norway - aggregative responses and terrestrial transfer by white-tailed eagles

description: The dataset is from an observational study conducted along Skallelv, a sub-arctic river system on the east coast of the Varanger Peninsula in Norway. 
Data on white-tailed eagle (Haliaeetus albicilla) abundances and pink salmon abundances and demographic stages were collected in two consecutive seasons using respectively, line transect counts and drift counts along Skallelv from July 1st to September 5th in 2021 and 2022. The associated R script has been used to analyse the data to evaluate whether there was an association between the pink salmon and white-tailed eagle abundances and produce figures that present the data with respect to such patterns as published in the article: Bonde, BM & Stien A. 2024. Ecological implications of the pink salmon invasion in northern Norway - aggregative responses and terrestrial transfer by white-tailed eagles. Ecology and Evolution. https://doi.org/10.1002/ece3.70001
description: R, 4.3.2
DOI: 10.18710/tgrolw/1ivkzp
title: 20230518_NYA_REDTEC_gps.txt
DOI: 10.18710/umdoq0/2ulptj
title: 20230807_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/zbtlof
title: 20231203_KHO_REDTEC_gps.txt
DOI: 10.18710/5eosvj/qz19yp
title: BeadpackDynamicsCTscans91-100.zip

description: :unav
DOI: 10.18710/aa7qla/0bzhyd
title: vdem.csv
DOI: 10.18710/aa7qla/frl23f
title: sus-dev-space-2.0.Rproj
DOI: 10.18710/aa7qla/qopyyj
title: bii_area_code.json
DOI: 10.18710/bstyxu/kbikgi
title: PIV-fef0_1.4.zip
DOI: 10.18710/epb9ag/c2fywx
title: open_plot_drifters.ipynb

description: This Jupyter notebook shows how to open, select and plot the accompanying data sets.
DOI: 10.18710/f7lo2y/62rqqf
title: 00_ReadMe.txt
DOI: 10.18710/jys0z1/ixh0u8
title: 9_Anvif_Data_Protection_Impact_Assessment.pdf

description: A brief assessment of whether open publication of the Dataset is aligned with legal and research-ethical regulations and guidelines.
DOI: 10.18710/l4ony6/escus3
title: 20240319_HOP_REDTEC_glo.txt
DOI: 10.18710/ltho8b/gbactw
title: Figure_4_data.txt
DOI: 10.18710/ltho8b/ls36ll
title: 00_README_file.txt
DOI: 10.18710/ozpaww/skfkwe
title: 20241218_BJN_REDTEC_glo.txt
DOI: 10.18710/rxiuhf/6iuls4
title: 02_Labolatory_temperature_3.vi2
DOI: 10.18710/rxiuhf/euvizs
title: 02_Labolatory_temperature_22.vi2
DOI: 10.18710/t1vqla/0lebja
title: _Simulation_Log_Sheet_4.csv
DOI: 10.18710/t1vqla/bbyvd6
title: _Simulation_FM_Log_Sheet_1.csv
DOI: 10.18710/t1vqla/g74nqx
title: heat_map_p6.png
DOI: 10.18710/t1vqla/glfhsq
title: _Simulation_Log_1_Sheet_1.csv
DOI: 10.18710/t1vqla/sdfyzm
title: _Simulation_Log_1_Sheet_11.csv
DOI: 10.18710/tgrolw/2mixbs
title: 20230616_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/adawkg
title: 20230429_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/dimrpm
title: 20230619_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/dob1fy
title: 20230515_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/huqvaz
title: 20230626_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/tc2txq
title: 20230424_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/zdpm8h
title: 20230604_NYA_REDTEC_glo.txt
DOI: 10.18710/u4tlyv/jjqovr
title: longitudinal_doublet_1.mat
DOI: 10.18710/u4tlyv/mway7z
title: longitudinal_3211_2.mat
DOI: 10.18710/u4tlyv/xwjci3
title: longitudinal_3211_5.csv
DOI: 10.18710/ugnife/zb1umb
title: PSGO_28.csv
DOI: 10.18710/umdoq0/3rtc3a
title: 20231018_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/74ejhg
title: 20231016_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/9z4mpu
title: 20231013_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/aagcod
title: 20231126_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/amckbi
title: 20231031_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/cfedbr
title: 20231004_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/cxs1za
title: 20231221_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/fuhlpl
title: 20231224_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/gonjto
title: 20230915_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/hivtcb
title: 20231201_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/i34up7
title: 20231222_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/lox9ui
title: 20230807_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/lwgptl
title: 20230705_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/mbkny7
title: 20231024_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/niqzxs
title: 20231117_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/ov9mmj
title: 20230701_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/sgz4si
title: 20230802_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/slz48m
title: 20231110_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/x59cnl
title: 20231230_KHO_REDTEC_gal.txt
DOI: 10.18710/umdoq0/ypongr
title: 20231213_KHO_REDTEC_glo.txt
DOI: 10.18710/uwxphw/pn6sfj
title: Input_2_moose_start.csv

description: Input data nr 2 used to estimate moose abundance in wolf territories
DOI: 10.18710/vm0wkq/4idkmv
title: Chromosome 2.csv

description: Contents: Gene (name of gene), 
 Gene ID (Ensemble ID of gene)
 Causal Estimate Least Squares (estimate of the causal effect of the gene on CAD using the least squares estimator), 
 Causal Estimate GMM (estimate of the causal effect of the gene on CAD using the Generalized method of moments estimator),
 se Least Squares/GMM (standard error of the least squares estimator and the GMM estimator, because the functional form is same, the standard error is same for both estimators),
 p-value GMM (p-value of the GMM estimator), 
 p-value Least Squares (p-value of the least squares estimator),
 Causal Estimate MVIVW (estimate of the causal effect of the gene on CAD using multivariable Mendelian randomization via the inverse-variance method using the Mendelian Randomization package), 
 se MVIVW (standard error of the estimate for multivariable Mendelian randomization via the inverse-variance method using the Mendelian Randomization package),
 p-value MVIVW (p-value of the estimate for multivariable Mendelian randomization via the inverse-variance method using the Mendelian Randomization package), 
 Causal effect MR (causal effect using univariate Mendelian Randomization), 
 F_stat (conditional F-statistic calculated using the Mendelian Randomization package), 
 Q_stat (cochran's Q-statistic calculated using the Mendelian Randomization package), 
 Q_pval (p-value of the cochran's Q-statistic calculated using the Mendelian Randomization package), 
 lead SNP (the SNP with the lowest p-value in the GWAS summary data for the given locus, hence the most significant SNP), 
 position (position in base pairs of the lead SNP), 
 chromosome (chromosome of the lead SNP), 
 tissue (name of the tissue from where the expression levels of genes are considered in the MVMR causal analysis), 
 No of SNPs (number of SNPs in the MVMR causal analysis), 
 study (GWAS study ebi-a-GCST003116), 
 determinant of LD matrix (the determinant of the Linkage disequilibrium matrix of the SNPs considered in the MVMR causal analysis), 
 determinant of instruments strength matrix (the determinant of the covariance matrix of the instruments and the genes for the SNPs considered in the MVMR causal analysis), 
 LD threshold (maximum allowed LD between SNPs considered as instruments for the causal MVMR analysis).
 
 Purpose: Collection of all results in the MVMR analysis
DOI: 10.34740/kaggle/dsv/14176015
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.15468/dl.ws8v9h
title: Occurrence Download

description: A dataset containing 219 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dichogaster saliens",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 219 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054618-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18710/bykhxy
title: Replication Data for: Successful restoration of alpine plant communities depends on habitat type

description: The dataset contains data on abiotic variables, plant community cover and plant community composition from a restored road site in the Knutshø landscape protected area in Norway. Data was collected from three habitat types in 2016, 2018, and 2021.

Abstract:
Alpine ecosystems are under increasing pressure from land-use change and road construction, resulting in habitat fragmentation and declines in biodiversity and ecosystem function. Ecosystem restoration can mitigate the impacts from human land-use change by assisting the recovery of natural ecosystems. We developed an assessment framework using established international standards and monitored alpine vegetation recovery within restored zones along a hydropower-dam road built in 2013 in the Knutshø landscape protected area, Norway. Using data collected in 2016, 2018 and 2021, we compared abiotic variables and vegetation indicators (cover, and community composition) in restored zones against directly adjacent intact zones within three different habitat types. After eight years, wetland habitat had similar cover of plant functional types and abiotic variables within restored and intact zones, while ridge and willow-heath habitats had more cover of graminoids and less cover of shrubs in restored compared to intact zones. In addition, community composition in restored wetland habitat zones was similar to intact zones, while the community composition of restored zones in ridge and willow-heath habitats was significantly different from adjacent intact zones. This suggests that restored wetland habitat in our study system is on a trajectory of recovery, but that recovery of other plant community types may require longer periods of time or, in some cases, may not be possible without further intervention because of alternative stable states. Our results underscore the need for long-term monitoring and adaptive management to insure restoration success in alpine environments.
DOI: 10.18710/tgrolw/zw3lru
title: 20230130_NYA_REDTEC_gal.txt
DOI: 10.18710/umdoq0/dtriau
title: 20231008_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/w6q8hv
title: 20231018_KHO_REDTEC_gps.txt
DOI: 10.18710/umdoq0/wu5f0j
title: 20231024_KHO_REDTEC_gps.txt
DOI: 10.18710/eqpirk/ilhham
title: Clean_runback_StdDev.csv
DOI: 10.18710/eqpirk/ukec5f
title: Numerical_ice_shape.csv
DOI: 10.18710/eqpirk/urr5xw
title: Still_rotation.csv
DOI: 10.18710/tgrolw/0zq6g4
title: 20230614_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/eezoho
title: 20230111_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/gpnbdr
title: 20230507_NYA_REDTEC_gal.txt
DOI: 10.18710/tgrolw/iflcp5
title: 20230421_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/ifybtx
title: 20230604_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/mideds
title: 20230217_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/mxszm8
title: 20230507_NYA_REDTEC_glo.txt
DOI: 10.18710/tgrolw/sf6vh3
title: 20230502_NYA_REDTEC_gps.txt
DOI: 10.18710/tgrolw/z84qy2
title: 20230430_NYA_REDTEC_glo.txt
DOI: 10.18710/u4tlyv/emkyjf
title: lateral_121_3.mat
DOI: 10.18710/umdoq0/8hrlp8
title: 20231129_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/ck6oub
title: 20231202_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/cqjd6h
title: 20231103_KHO_REDTEC_glo.txt
DOI: 10.18710/umdoq0/dpvcac
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DOI: 10.18710/umdoq0/igwn3c
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DOI: 10.18710/umdoq0/intj0p
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DOI: 10.18710/umdoq0/izfnei
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DOI: 10.18710/umdoq0/jowurr
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DOI: 10.18710/umdoq0/k6biyt
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DOI: 10.18710/umdoq0/pijne1
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DOI: 10.18710/umdoq0/z1fl60
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DOI: 10.18710/umdoq0/zhlui7
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DOI: 10.18710/umdoq0/zlirjc
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DOI: 10.18710/atcqzw/5w13th
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DOI: 10.18710/l4ony6/vqfcvj
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DOI: 10.18710/l4ony6/y0awzg
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DOI: 10.18710/ozpaww/vzgsxv
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DOI: 10.18710/5eosvj/1yncpr
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DOI: 10.18710/l4ony6/isusgy
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DOI: 10.18710/l4ony6/kzdln4
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DOI: 10.18710/l4ony6/p6tcrs
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