cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.yd7cfh
title: Occurrence Download

description: A dataset containing 7067 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mangifera indica L."
 ]
}

 The dataset includes 7067 records from 289 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072152-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ra6ym9
title: Occurrence Download

description: A dataset containing 174 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Menonvillea linearis DC."
 ]
}

 The dataset includes 174 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0174526-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mdw3ua
title: Occurrence Download

description: A dataset containing 3776 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Vitaceae)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "Country is Russian Federation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3776 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064800-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fmgehc
title: Occurrence Download

description: A dataset containing 1227 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudoeurycea cephalica (Cope, 1889)"
 ]
}

 The dataset includes 1227 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018531-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xkxxv5
title: Occurrence Download

description: A dataset containing 703 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptochloa asthenes (Roem. & Schult.) C.E.Hubb."
 ]
}

 The dataset includes 703 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0174525-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e3sxlf
title: Occurrence Download

description: A dataset containing 201 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Jungermannia confertissima Nees",
 "Geometry POLYGON((38.671874 44.213709,28.300781 33.431441,21.972656 33.578014,13.183593 34.741612,12.128906 36.879620,11.25 38.272688,7.558593 37.857507,-7.734374 35.746512,-19.160156 29.840643,-34.453125 38.959408,-30.585937 65.512962,-17.929687 69.718106,3.164062 78.525572,12.128906 80.983688,24.433593 81.518271,64.511718 82.379147,83.496093 81.544159,81.738281 79.874296,71.71875 75.888090,63.984375 73.824820,61.171874 72.181803,65.214843 69.595890,68.378906 67.809244,60.996093 64.997939,55.722656 59.623325,47.8125 50.513426,38.671874 44.213709))"
 ]
}

 The dataset includes 201 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072153-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ugdqmh
title: Occurrence Download

description: A dataset containing 46538 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Genetta genetta (Linnaeus, 1758)"
 ]
}

 The dataset includes 46538 records from 487 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017472-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ubnbx3
title: Occurrence Download

description: A dataset containing 1250 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arenaria lanuginosa (Michx.) Rohrb.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1250 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018532-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c3av4g
title: Occurrence Download

description: A dataset listing the 62924 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "BasisOfRecord is one of (Human Observation)"
 ]
}

 The dataset's 62924 records were derived from 1123 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020561-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18710/j4wlvi/fzpvet
title: 20230211_HOP_REDOBS_glo.txt
DOI: 10.18710/j4wlvi/tm00b8
title: 20230826_HOP_REDOBS_gal.txt
DOI: 10.18710/j4wlvi/yqxyio
title: 20230209_HOP_REDOBS_glo.txt
DOI: 10.18710/l41rkz/39lkkb
title: 01_Images_Larsbreen_20231027.zip
DOI: 10.18710/l41rkz/5t4fe6
title: 02_DEM_Longyearbreen_20231023.tif
DOI: 10.18710/s79s8e/8leqsi
title: 20230824_NYA_REDOBS_glo.txt
DOI: 10.18710/s79s8e/djbssk
title: 20230821_NYA_REDOBS_gps.txt
DOI: 10.18710/s79s8e/foaryj
title: 20230920_NYA_REDOBS_gal.txt
DOI: 10.18710/s79s8e/gs4ggf
title: 20230912_NYA_REDOBS_gps.txt
DOI: 10.18710/s79s8e/ispnmu
title: 20230903_NYA_REDOBS_gal.txt
DOI: 10.18710/s79s8e/l176gt
title: 20231013_NYA_REDOBS_glo.txt
DOI: 10.18710/s79s8e/mcjwo5
title: 20230706_NYA_REDOBS_glo.txt
DOI: 10.18710/s79s8e/pfgluh
title: 20230731_NYA_REDOBS_glo.txt
DOI: 10.18710/s79s8e/r6n59n
title: 20230614_NYA_REDOBS_gps.txt
DOI: 10.18710/s79s8e/vsv1py
title: 20230831_NYA_REDOBS_glo.txt
DOI: 10.18710/v1odik/kgdxui
title: CN.txt

description: total organic carbon, total nitrogen, d13C and d15N of decarbonated bulk sediment samples
DOI: 10.18710/v1odik/zirwud
title: grain_size_0-5cm.txt

description: grain size datasets
DOI: 10.18710/e9ctjs/jejcfd
title: 20231125_BJN_REDOBS_gal.txt
DOI: 10.18710/e9ctjs/rgcgyc
title: 20231027_BJN_REDOBS_gps.txt
DOI: 10.18710/e9ctjs/wraqha
title: 20231121_BJN_REDOBS_gps.txt
DOI: 10.18710/ivua0a/jtkgdl
title: 07_coll-profile_jüdisch_Lemma.txt
DOI: 10.18710/s79s8e/2qrvwq
title: 20230918_NYA_REDOBS_gal.txt
DOI: 10.18710/s79s8e/33w2sg
title: 20230724_NYA_REDOBS_gps.txt
DOI: 10.18710/s79s8e/59x60d
title: 20230703_NYA_REDOBS_gal.txt
DOI: 10.18710/s79s8e/6mjwaf
title: 20230728_NYA_REDOBS_gal.txt
DOI: 10.18710/s79s8e/6r3vr9
title: 20230922_NYA_REDOBS_gal.txt
DOI: 10.18710/s79s8e/7e2d1t
title: 20230822_NYA_REDOBS_gal.txt
DOI: 10.18710/s79s8e/9hbvwd
title: 20230715_NYA_REDOBS_gal.txt
DOI: 10.18710/s79s8e/cdkk4s
title: 20230817_NYA_REDOBS_gal.txt
DOI: 10.18710/s79s8e/gdp3sw
title: 20230818_NYA_REDOBS_gal.txt
DOI: 10.18710/s79s8e/hpvjre
title: 20230919_NYA_REDOBS_gal.txt
DOI: 10.18710/s79s8e/hpytds
title: 20230719_NYA_REDOBS_gal.txt
DOI: 10.18710/s79s8e/hs4tzs
title: 20230808_NYA_REDOBS_gps.txt
DOI: 10.18710/s79s8e/im5dkq
title: 20230911_NYA_REDOBS_gps.txt
DOI: 10.18710/s79s8e/jt6pri
title: 20230807_NYA_REDOBS_glo.txt
DOI: 10.18710/s79s8e/r7lrhp
title: 20230704_NYA_REDOBS_glo.txt
DOI: 10.18710/s79s8e/sgl8gi
title: 20230826_NYA_REDOBS_gal.txt
DOI: 10.18710/s79s8e/sxudqh
title: 20230829_NYA_REDOBS_glo.txt
DOI: 10.18710/s79s8e/t6ifkj
title: 20230810_NYA_REDOBS_gal.txt
DOI: 10.18710/s79s8e/up2nxy
title: 20230709_NYA_REDOBS_gps.txt
DOI: 10.18710/s79s8e/zrxff8
title: 20230901_NYA_REDOBS_gal.txt
DOI: 10.18710/e9ctjs/06cx1o
title: 20231227_BJN_REDOBS_gps.txt
DOI: 10.18710/e9ctjs/0abd79
title: 20231019_BJN_REDOBS_glo.txt
DOI: 10.18710/e9ctjs/32riaa
title: 20231015_BJN_REDOBS_gal.txt
DOI: 10.18710/e9ctjs/4phpfn
title: 20230329_BJN_REDOBS_gps.txt
DOI: 10.18710/e9ctjs/6xfcx5
title: 20230225_BJN_REDOBS_gps.txt
DOI: 10.18710/e9ctjs/7rvj6z
title: 20230901_BJN_REDOBS_glo.txt
DOI: 10.18710/e9ctjs/e5kjzy
title: 20231019_BJN_REDOBS_gps.txt
DOI: 10.18710/e9ctjs/hqytgw
title: 20231226_BJN_REDOBS_gal.txt
DOI: 10.18710/e9ctjs/jhhxl8
title: 20230709_BJN_REDOBS_glo.txt
DOI: 10.18710/e9ctjs/kw7lpy
title: 20231015_BJN_REDOBS_gps.txt
DOI: 10.18710/e9ctjs/osszb2
title: 20230911_BJN_REDOBS_gps.txt
DOI: 10.18710/e9ctjs/pvi76i
title: 20231203_BJN_REDOBS_gal.txt
DOI: 10.18710/e9ctjs/qv8nph
title: 20231126_BJN_REDOBS_gal.txt
DOI: 10.18710/e9ctjs/vwz0ae
title: 20230110_BJN_REDOBS_glo.txt
DOI: 10.18710/e9ctjs/x4vpaj
title: 20230115_BJN_REDOBS_gal.txt
DOI: 10.18710/e9ctjs/ypl5u0
title: 20230201_BJN_REDOBS_gal.txt
DOI: 10.18710/ibbsgd/t6jlwb
title: 03_2022_Scheelebreen_Ortho.jpg
DOI: 10.18710/j4wlvi/do1kcu
title: 20230113_HOP_REDOBS_glo.txt
DOI: 10.18710/j4wlvi/fiyou3
title: 20230818_HOP_REDOBS_glo.txt
DOI: 10.18710/j4wlvi/gx4bve
title: 20230124_HOP_REDOBS_gps.txt
DOI: 10.18710/j4wlvi/i7mir8
title: 20230115_HOP_REDOBS_glo.txt
DOI: 10.18710/j4wlvi/rzqqj5
title: 20230130_HOP_REDOBS_gps.txt
DOI: 10.18710/j4wlvi/stzt1i
title: 20230308_HOP_REDOBS_gal.txt
DOI: 10.18710/j4wlvi/tmk16s
title: 20230304_HOP_REDOBS_gal.txt
DOI: 10.18710/j4wlvi/tnpqss
title: 20230131_HOP_REDOBS_gal.txt
DOI: 10.18710/j4wlvi/ulofzh
title: 20230216_HOP_REDOBS_gal.txt
DOI: 10.18710/j4wlvi/unyc83
title: 20230221_HOP_REDOBS_gps.txt
DOI: 10.18710/j4wlvi/uoirtt
title: 20230223_HOP_REDOBS_glo.txt
DOI: 10.18710/j4wlvi/widlf6
title: 20230302_HOP_REDOBS_gps.txt
DOI: 10.18710/j4wlvi/xr525t
title: 20230821_HOP_REDOBS_gps.txt
DOI: 10.18710/sy6pv2/6xi2qp
title: 03_Scrolls.xlsx

description: This Microsoft Excel file is a database of exhibited Dead Sea Scrolls.
DOI: 10.18710/u8s3xx/fwlzpx
title: 02_ClipExpVacmyr_20230806_R-script.txt

description: The same file as 01 but now in plain text format.
DOI: 10.18710/yh76vy/a3a6mk
title: survival_adult.txt

description: Survival data
DOI: 10.15468/dl.r65rpe
title: Occurrence Download

description: A dataset containing 98 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Emberiza schoeniclus witherbyi",
 "Year 1930-2025"
 ]
}

 The dataset includes 98 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054610-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18710/j4wlvi/b99kqe
title: 20230806_HOP_REDOBS_glo.txt
DOI: 10.18710/j4wlvi/bfqasu
title: 20230729_HOP_REDOBS_gal.txt
DOI: 10.18710/j4wlvi/hva7am
title: 20230902_HOP_REDOBS_glo.txt
DOI: 10.18710/j4wlvi/mazdve
title: 20230705_HOP_REDOBS_glo.txt
DOI: 10.18710/j4wlvi/qye1sz
title: 20230821_HOP_REDOBS_gal.txt
DOI: 10.18710/j4wlvi/xmfjo4
title: 20230729_HOP_REDOBS_gps.txt
DOI: 10.18710/s79s8e/1j9nxd
title: 20231011_NYA_REDOBS_gal.txt
DOI: 10.18710/s79s8e/83urs6
title: 20231013_NYA_REDOBS_gal.txt
DOI: 10.18710/s79s8e/8hxecg
title: 20231009_NYA_REDOBS_gps.txt
DOI: 10.18710/s79s8e/8qscv3
title: 20231129_NYA_REDOBS_gal.txt
DOI: 10.18710/s79s8e/bo1dd2
title: 20231207_NYA_REDOBS_gps.txt
DOI: 10.18710/s79s8e/ciqksm
title: 20231110_NYA_REDOBS_gps.txt
DOI: 10.18710/s79s8e/cqxzs8
title: 20231014_NYA_REDOBS_gps.txt
DOI: 10.18710/s79s8e/dla4fs
title: 20230924_NYA_REDOBS_gps.txt
DOI: 10.18710/s79s8e/dqq61h
title: 20231228_NYA_REDOBS_gps.txt
DOI: 10.18710/s79s8e/ejquhw
title: 20231108_NYA_REDOBS_gal.txt
DOI: 10.18710/s79s8e/endosa
title: 20230704_NYA_REDOBS_gal.txt
DOI: 10.18710/s79s8e/famq2p
title: 20230908_NYA_REDOBS_gps.txt
DOI: 10.18710/s79s8e/jkkeql
title: 20231102_NYA_REDOBS_glo.txt
DOI: 10.18710/s79s8e/pawsz0
title: 20230724_NYA_REDOBS_gal.txt
DOI: 10.18710/s79s8e/rnlzp7
title: 20231007_NYA_REDOBS_gal.txt
DOI: 10.18710/s79s8e/tgcqke
title: 20231226_NYA_REDOBS_glo.txt
DOI: 10.18710/s79s8e/uhifyg
title: 20231116_NYA_REDOBS_glo.txt
DOI: 10.18710/s79s8e/vkawuy
title: 20231220_NYA_REDOBS_gal.txt
DOI: 10.18710/s79s8e/wlprv5
title: 20231228_NYA_REDOBS_gal.txt
DOI: 10.18710/s79s8e/ycvhb7
title: 20230914_NYA_REDOBS_gal.txt
DOI: 10.18710/wd05dg
title: A Spatial-statistical model to analyse historical rutting data

description: The rutting dataset comprises of the annual rutting for years 2010-2020 (millimetre, calculated as the difference between current and previous year's data), with rut depth measurement from the previous year (millimetre), annual average daily traffic (AADT), lane width (metre), bearing capacity for year 2021 (tonnes), surface curvature index for year 2021, and base curvature index data (2021). The rutting data was collected for 20-metre road segments at specific latitude and longitude locations. The rutting is assumed to be linearly related to known explanatory variables (e.g., lane width) and random and spatial components. Rutting measurements were used to fit spatial-statistical models with random and spatial components in a Bayesian Hierarchical framework. Non spatial-statistical models with random yearly effects were also fitted. We compared these models to determine the importance of accounting for spatial information and to properly account for the rutting variability.
description: R studio, Version: 4.3.2
description: INLA, Version: 29-01-2024
DOI: 10.18710/fs2qxk/bqtolr
title: Exp3data_share.dat

description: Data file
DOI: 10.18710/fs2qxk/ja0cif
title: ABK_web_survey.pdf

description: An English translation of the map experiment
DOI: 10.18710/ivua0a/hnvuzl
title: 07_coll-profile_gutADJA_POS.txt
DOI: 10.18710/ivua0a/ieqffv
title: 07_coll-profile_alt_POS.png
DOI: 10.18710/ivua0a/ra1aju
title: 07_coll-profile_gutADJD_POS.png
DOI: 10.18710/ivua0a/remddw
title: 06_coll_PBxVV_Lemma.txt
DOI: 10.18710/ivua0a/rptxnx
title: 07_coll-profile_nah_POS.txt
DOI: 10.18710/ivua0a/vhuerr
title: 07_coll-profile_weitADJD_POS.txt
DOI: 10.18710/ivua0a/wns1ri
title: 07_coll-profile_gutADJA_POS.png
DOI: 10.18710/j4wlvi/b0afii
title: 20230212_HOP_REDOBS_gps.txt
DOI: 10.18710/j4wlvi/ftammp
title: 20230207_HOP_REDOBS_gal.txt
DOI: 10.18710/j4wlvi/htlfyj
title: 20230329_HOP_REDOBS_gal.txt
DOI: 10.18710/lmnlau/2sjeok
title: AnalyseNTNUReglok.xlsx
DOI: 10.18710/e9ctjs/cigldp
title: 20230718_BJN_REDOBS_glo.txt
DOI: 10.18710/e9ctjs/dohvvb
title: 20230706_BJN_REDOBS_glo.txt
DOI: 10.18710/e9ctjs/vfgpx7
title: 20230828_BJN_REDOBS_gps.txt
DOI: 10.18710/e9ctjs/wpqy2s
title: 20230701_BJN_REDOBS_gps.txt
DOI: 10.18710/j4wlvi/venao0
title: 20230213_HOP_REDOBS_gps.txt
DOI: 10.18710/j4wlvi/xbv9d6
title: 20230213_HOP_REDOBS_glo.txt
DOI: 10.18710/lx51r2/thhzn2
title: Missing_data_imputation_result.dat
DOI: 10.18710/mtuavq/8iwvm7
title: 20230327_BJN_REDTEC_gal.txt
DOI: 10.18710/s79s8e/1qpmqy
title: 20231104_NYA_REDOBS_glo.txt
DOI: 10.18710/s79s8e/5ssknu
title: 20231015_NYA_REDOBS_gal.txt
DOI: 10.18710/s79s8e/9beirr
title: 20231105_NYA_REDOBS_gal.txt
DOI: 10.18710/s79s8e/bafgak
title: 20231202_NYA_REDOBS_glo.txt
DOI: 10.18710/s79s8e/dabmpa
title: 20231208_NYA_REDOBS_gps.txt
DOI: 10.18710/s79s8e/epztot
title: 20231112_NYA_REDOBS_gal.txt
DOI: 10.18710/s79s8e/odlx47
title: 20231024_NYA_REDOBS_gal.txt
DOI: 10.18710/s79s8e/qtk0dp
title: 20231021_NYA_REDOBS_glo.txt
DOI: 10.18710/s79s8e/qwvwl2
title: 20231204_NYA_REDOBS_gal.txt
DOI: 10.18710/s79s8e/sgyiqi
title: 20231020_NYA_REDOBS_glo.txt
DOI: 10.18710/s79s8e/t0nn9l
title: 20231205_NYA_REDOBS_glo.txt
DOI: 10.18710/s79s8e/vbrdux
title: 20231102_NYA_REDOBS_gal.txt
DOI: 10.18710/e9ctjs/aen6u6
title: 20230725_BJN_REDOBS_glo.txt
DOI: 10.18710/e9ctjs/bqnsay
title: 20230217_BJN_REDOBS_gal.txt
DOI: 10.18710/e9ctjs/cpt3jl
title: 20230208_BJN_REDOBS_gps.txt
DOI: 10.18710/e9ctjs/maq9dj
title: 20230201_BJN_REDOBS_glo.txt
DOI: 10.18710/e9ctjs/pyclb7
title: 20230719_BJN_REDOBS_glo.txt
DOI: 10.18710/e9ctjs/rbmwtn
title: 20230923_BJN_REDOBS_gal.txt
DOI: 10.18710/e9ctjs/robwsv
title: 20230822_BJN_REDOBS_gal.txt
DOI: 10.18710/e9ctjs/u5rvxj
title: 20230207_BJN_REDOBS_gps.txt
DOI: 10.18710/hfif8k/hp8elv
title: L1Control1_EyeTrackingProp.csv
DOI: 10.18710/kwp9wa/ail4w9
title: images.zip

description: Folder of images
DOI: 10.18710/lmnlau/ah3smv
title: AnalyseKorsetT-23371.xlsx
DOI: 10.18710/lmnlau/gnt8j1
title: AnalyseKvitvikaIIC55865.xlsx
DOI: 10.18710/mtuavq/26f4rk
title: 20230126_BJN_REDTEC_gal.txt
DOI: 10.18710/mtuavq/g3bc0r
title: 20230111_BJN_REDTEC_gps.txt
DOI: 10.18710/ongbev/okrfoa
title: 503P_matout_N3_20220819_T091529_L1200s_allchs_v0.py
DOI: 10.18710/ongbev/qmlto8
title: power_spectra_fx_20220819_091525_ch01201_to_ch33491_I10_L2_rsamp20ms_L1200s_nogeom_lowcut5mHz.mat
DOI: 10.18710/ongbev/zvsejl
title: power_spectra_fx_20220819_091527_ch01270_to_ch33500_I10_L3_rsamp20ms_L1200s_nogeom_lowcut10mHz.mat
DOI: 10.18710/s79s8e/3vsshe
title: 20231122_NYA_REDOBS_gps.txt
DOI: 10.18710/s79s8e/anfajy
title: 20231124_NYA_REDOBS_gps.txt
DOI: 10.18710/s79s8e/eioi8g
title: 20231226_NYA_REDOBS_gps.txt
DOI: 10.18710/s79s8e/leelli
title: 20231025_NYA_REDOBS_gal.txt
DOI: 10.18710/s79s8e/miyutg
title: 20231121_NYA_REDOBS_gal.txt
DOI: 10.18710/s79s8e/nmxvyw
title: 20231128_NYA_REDOBS_gps.txt
DOI: 10.18710/s79s8e/ojteaq
title: 20231220_NYA_REDOBS_glo.txt
DOI: 10.18710/s79s8e/tq8z6w
title: 20231030_NYA_REDOBS_gps.txt
DOI: 10.18710/yunhfp/mgjoox
title: Brathen_et_al_Biotic_Homogenization_Dataverse_main_script.R
DOI: 10.18710/e9ctjs/1agyoy
title: 20230101_BJN_REDOBS_gps.txt
DOI: 10.18710/e9ctjs/25fu66
title: 20230218_BJN_REDOBS_gps.txt
DOI: 10.18710/e9ctjs/4gba4y
title: 20230215_BJN_REDOBS_gps.txt
DOI: 10.18710/e9ctjs/5wf1fj
title: 20230101_BJN_REDOBS_gal.txt
DOI: 10.18710/e9ctjs/6je017
title: 20230321_BJN_REDOBS_glo.txt
DOI: 10.18710/e9ctjs/cxsx1p
title: 20230323_BJN_REDOBS_glo.txt
DOI: 10.18710/e9ctjs/d8n6lp
title: 20230123_BJN_REDOBS_gps.txt
DOI: 10.18710/e9ctjs/gwn3ks
title: 20230315_BJN_REDOBS_glo.txt
DOI: 10.18710/e9ctjs/jjylzn
title: 20230122_BJN_REDOBS_gal.txt
DOI: 10.18710/e9ctjs/jo4da8
title: 20230125_BJN_REDOBS_gps.txt
DOI: 10.18710/e9ctjs/l1ofjk
title: 20230322_BJN_REDOBS_glo.txt
DOI: 10.18710/e9ctjs/o2bcgr
title: 20230331_BJN_REDOBS_glo.txt
DOI: 10.18710/e9ctjs/orz4qv
title: 20230124_BJN_REDOBS_gal.txt
DOI: 10.18710/e9ctjs/p0of2f
title: 20230106_BJN_REDOBS_glo.txt
DOI: 10.18710/efduxj/kfprht
title: S4_Supplementary_Filtration.docx
DOI: 10.18710/j4wlvi/118mho
title: 20230721_HOP_REDOBS_glo.txt
DOI: 10.18710/j4wlvi/2xmivk
title: 20230925_HOP_REDOBS_glo.txt
DOI: 10.18710/j4wlvi/d2vqrf
title: 20230915_HOP_REDOBS_gal.txt
DOI: 10.18710/j4wlvi/dwlrt1
title: 20230831_HOP_REDOBS_gps.txt
DOI: 10.18710/j4wlvi/j03u0m
title: 20230320_HOP_REDOBS_gps.txt
DOI: 10.18710/j4wlvi/kwa6fb
title: 20230827_HOP_REDOBS_gps.txt
DOI: 10.18710/j4wlvi/prffps
title: 20230208_HOP_REDOBS_gps.txt
DOI: 10.18710/mtuavq/bxjn4u
title: 20230305_BJN_REDTEC_gal.txt
DOI: 10.18710/mtuavq/lsvgvz
title: 20230120_BJN_REDTEC_gal.txt
DOI: 10.18710/ongbev
title: Replication data for: Near-surface characterization using shear-wave resonances: A case study from offshore Svalbard, Norway

description: This data set is used to conduct research as presented in the manuscript entitled "Near-surface characterization using shear-wave resonances: A case study from offshore Svalbard, Norway" written by Taweesintananon et al. in 2024, which is submitted for peer reviews and publications in a journal. It contains processed strain data in nanostrain unit measured by OptoDAS interrogator through the dark fibers in two submarine telecommunication cables, which were installed into soft sediments at 0–2 m below the seafloor, between Longyearbyen and Ny-Ålesund in Svalbard, Norway. In total, four OptoDAS interrogators are used for DAS data recording: the ends of the inner (L2) and outer (L3) cables in Longyearbyen, and the other ends of the inner (N2) and outer (N3) cables in Ny-Ålesund. The raw data were acquired in August, 2022, and converted to strain data in nanostrain unit. To reduce file sizes, we resampled the DAS strain data from 1.6 to 20 ms time sampling intervals with an antialiasing filter at 80% of the output Nyquist frequency of 25 Hz. After that, we attenuated interrogator noise that occurs in every DAS recording channel. First, we obtained the single-trace interrogator noise model by stacking (a mean calculation) all the DAS data traces in the first 40 km of the cable, in which the instrument noise level was low. Then, we subtracted every trace of the DAS data by the interrogator noise model. The resampled data after the interrogator noise removal have been archived and used in our spectral analysis. The processed data and the power spectra are stored as structured arrays in the MATLAB file format. This data set has no exact positioning data of the fiber optic cable, because they are proprietary to Sikt. However, the distance of each recording channel along the cable from the shore is given in this data set.
description: MATLAB
description: SciPy
DOI: 10.18710/s79s8e/yti7gk
title: 20231216_NYA_REDOBS_gps.txt
DOI: 10.18710/augwp4/37idsk
title: mpall_idli_c1.csv
DOI: 10.18710/h8ektm/2y0xdp
title: FN47.2023-02-16.edi
DOI: 10.18710/h8ektm/m5llkg
title: F111.2023-02-16.edi
DOI: 10.18710/j4wlvi/1sod3n
title: 20230917_HOP_REDOBS_gal.txt
DOI: 10.18710/j4wlvi/2m63is
title: 20230929_HOP_REDOBS_gps.txt
DOI: 10.18710/j4wlvi/2v7sym
title: 20230910_HOP_REDOBS_glo.txt
DOI: 10.18710/j4wlvi/7mejzg
title: 20230922_HOP_REDOBS_gps.txt
DOI: 10.18710/j4wlvi/87cxt1
title: 20230827_HOP_REDOBS_gal.txt
DOI: 10.18710/j4wlvi/97yl3w
title: 20230818_HOP_REDOBS_gal.txt
DOI: 10.18710/j4wlvi/avz5vl
title: 20230809_HOP_REDOBS_glo.txt
DOI: 10.18710/j4wlvi/dgbdpv
title: 20230108_HOP_REDOBS_gal.txt
DOI: 10.18710/j4wlvi/hnbfva
title: 20230311_HOP_REDOBS_glo.txt
DOI: 10.18710/j4wlvi/nmoxin
title: 20230325_HOP_REDOBS_gps.txt
DOI: 10.18710/j4wlvi/olzvhz
title: 20230220_HOP_REDOBS_gps.txt
DOI: 10.18710/j4wlvi/r1zlkp
title: 20230905_HOP_REDOBS_gps.txt
DOI: 10.18710/j4wlvi/tkhglr
title: 20230910_HOP_REDOBS_gal.txt
DOI: 10.18710/j4wlvi/vbjhdu
title: 20230108_HOP_REDOBS_gps.txt
DOI: 10.18710/j4wlvi/w46k6p
title: 20230716_HOP_REDOBS_gps.txt
DOI: 10.18710/j4wlvi/wxeerg
title: 20230921_HOP_REDOBS_glo.txt
DOI: 10.18710/j4wlvi/yj9alt
title: 20230820_HOP_REDOBS_gal.txt
DOI: 10.18710/ongbev/lat1c0
title: S-wave_velocity_case1_zx_ch01060_to_ch33740_I10_N3_nogeom.mat
DOI: 10.18710/ongbev/lqxexm
title: 505P_matout_tx_Forwick2011_L2_calc_vs_v0.py
DOI: 10.18710/qmvict/pn38yb
title: stress-estimate.zip
DOI: 10.18710/uypcl0/27hm4q
title: HUNT.zip
DOI: 10.15468/dl.9hc3yh
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Poland",
 "TaxonKey is Miramella alpina"
 ]
}

 The dataset includes 56 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054609-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.