cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25346/s6lqjm3j/m9j8gv
title: msXV_050v_MMSI+RTI+Arc_E11_078_F.tif
DOI: 10.25346/s6lqjm3j/nxqkw8
title: msXV_050v_MMSI+RTI+Arc_E09_077_F.tif
DOI: 10.25346/s6lqjm3j/g0jxhg
title: msXV_050v_MMSI+RTI+Arc_E07_076_F.tif
DOI: 10.25346/s6lqjm3j/2dpgjo
title: msXV_050v_MMSI+RTI+Arc_E05_075_F.tif
DOI: 10.25346/s6lqjm3j/kurevo
title: msXV_050v_MMSI+RTI+Arc_E03_074_F.tif
DOI: 10.25346/s6lqjm3j/ehjjlx
title: msXV_050v_MMSI+RTI+Arc_E01_073_F.tif
DOI: 10.25346/s6lqjm3j/hyn29n
title: msXV_050v_MMSI+RTI+Arc_D16_072_F.tif
DOI: 10.25346/s6lqjm3j/myhtxv
title: msXV_050v_MMSI+RTI+Arc_D14_071_F.tif
DOI: 10.25346/s6lqjm3j/qazixw
title: msXV_050v_MMSI+RTI+Arc_D12_070_F.tif
DOI: 10.25346/s6lqjm3j/dtxgzu
title: msXV_050v_MMSI+RTI+Arc_D10_069_F.tif
DOI: 10.25346/s6lqjm3j/y8r1cj
title: msXV_050v_MMSI+RTI+Arc_D08_068_F.tif
DOI: 10.25346/s6lqjm3j/qfpbxy
title: msXV_050v_MMSI+RTI+Arc_D06_067_F.tif
DOI: 10.25346/s6lqjm3j/jvnju7
title: msXV_050v_MMSI+RTI+Arc_D04_066_F.tif
DOI: 10.25346/s6lqjm3j/1zj8vr
title: msXV_050v_MMSI+RTI+Arc_D02_065_F.tif
DOI: 10.25346/s6lqjm3j/ky2ljs
title: msXV_050v_MMSI+RTI+Arc_C15_064_F.tif
DOI: 10.25346/s6lqjm3j/qsqy8n
title: msXV_050v_MMSI+RTI+Arc_C13_063_F.tif
DOI: 10.25346/s6lqjm3j/x3aozn
title: msXV_050v_MMSI+RTI+Arc_C11_062_F.tif
DOI: 10.25346/s6lqjm3j/zbd72t
title: msXV_050v_MMSI+RTI+Arc_C09_061_F.tif
DOI: 10.25346/s6lqjm3j/trgkqq
title: msXV_050v_MMSI+RTI+Arc_C07_060_F.tif
DOI: 10.25346/s6lqjm3j/teednl
title: msXV_050r_MMSI+RTI+Arc_B14_055_F.tif
DOI: 10.25346/s6lqjm3j/pni1v5
title: msXV_050r_MMSI+RTI+Arc_B12_054_F.tif
DOI: 10.25346/s6lqjm3j/lpxtha
title: msXV_050r_MMSI+RTI+Arc_B10_053_F.tif
DOI: 10.6084/m9.figshare.30615521
title: Spruce grouse survey encounter histories in New York 2004-2013.

description: Encounter histories of spruce grouse surveys in NY in managed and reference locations.
DOI: 10.6084/m9.figshare.30615521.v1
title: Spruce grouse survey encounter histories in New York 2004-2013.

description: Encounter histories of spruce grouse surveys in NY in managed and reference locations.
DOI: 10.25346/s6lqjm3j/d2wyno
title: msXV_050r_MMSI+RTI+Arc_B08_052_F.tif
DOI: 10.25346/s6lqjm3j/c8vxg3
title: msXV_050r_MMSI+RTI+Arc_B06_051_F.tif
DOI: 10.25346/s6lqjm3j/4oxfsv
title: msXV_050r_MMSI+RTI+Arc_B04_050_F.tif
DOI: 10.25346/s6lqjm3j/y67noi
title: msXV_050r_MMSI+RTI+Arc_B02_049_F.tif
DOI: 10.25346/s6lqjm3j/scgfdh
title: msXV_050r_MMSI+RTI+Arc_A15_048_F.tif
DOI: 10.25346/s6lqjm3j/vol0wt
title: msXV_050r_MMSI+RTI+Arc_A13_047_F.tif
DOI: 10.25346/s6lqjm3j/9wowmh
title: msXV_050r_MMSI+RTI+Arc_A11_046_F.tif
DOI: 10.25346/s6lqjm3j/p9vlew
title: msXV_050r_MMSI+RTI+Arc_A09_045_F.tif
DOI: 10.25346/s6lqjm3j/rwfw5r
title: msXV_050r_MMSI+RTI+Arc_A07_044_F.tif
DOI: 10.25346/s6lqjm3j/jab1ee
title: msXV_050r_MMSI+RTI+Arc_A05_043_F.tif
DOI: 10.25346/s6lqjm3j/wrnx1v
title: msXV_050r_MMSI+RTI+Arc_A03_042_F.tif
DOI: 10.25346/s6lqjm3j/qtt9cn
title: msXV_050r_MMSI+RTI+Arc_A01_041_F.tif
DOI: 10.25346/s6lqjm3j/mkrspf
title: msXV_042v_MMSI+RTI+W530R72_039_F.tif
DOI: 10.25346/s6lqjm3j/x9kom4
title: msXV_042v_MMSI+RTI+W505665_040_F.tif
DOI: 10.25346/s6lqjm3j/8nuv0m
title: msXV_042v_MMSI+RTI+W450R25_030_F.tif
DOI: 10.25346/s6lqjm3j/aravas
title: msXV_042v_MMSI+RTI+W450G58_034_F.tif
DOI: 10.25346/s6lqjm3j/3vge2l
title: msXV_042v_MMSI+RTI+W450B47_038_F.tif
DOI: 10.25346/s6lqjm3j/hg17hy
title: msXV_042v_MMSI+RTI+W400R25_029_F.tif
DOI: 10.25346/s6lqjm3j/6bo9gz
title: msXV_042v_MMSI+RTI+W400G58_033_F.tif
DOI: 10.26181/30341806
title: 90th percentile of Landsat reflectance composite image of Melbourne region

description: This file accompanies the manuscript "New models for classifying heterogeneous cover types in wetlands of the Greater Melbourne region". It is a geotif containing 90th percentiles of long term (1986 to 2019) Landsat reflectance data across the Greater Melbourne region.
DOI: 10.26181/30341806.v1
title: 90th percentile of Landsat reflectance composite image of Melbourne region

description: This file accompanies the manuscript "New models for classifying heterogeneous cover types in wetlands of the Greater Melbourne region". It is a geotif containing 90th percentiles of long term (1986 to 2019) Landsat reflectance data across the Greater Melbourne region.
DOI: 10.25346/s6lqjm3j/x2ra9x
title: msXV_042v_MMSI+RTI+W400B47_037_F.tif
DOI: 10.25346/s6lqjm3j/qbbzvm
title: msXV_042v_MMSI+RTI+W385R25_028_F.tif
DOI: 10.25346/s6lqjm3j/ftqy0r
title: msXV_042v_MMSI+RTI+W385G58_032_F.tif
DOI: 10.25346/s6lqjm3j/maqjeg
title: msXV_042v_MMSI+RTI+W385B47_036_F.tif
DOI: 10.25346/s6lqjm3j/xjay8n
title: msXV_042v_MMSI+RTI+W365R25_027_F.tif
DOI: 10.25346/s6lqjm3j/oh7v7v
title: msXV_042v_MMSI+RTI+W365G58_031_F.tif
DOI: 10.25346/s6lqjm3j/tpwprx
title: msXV_042v_MMSI+RTI+W365B47_035_F.tif
DOI: 10.25346/s6lqjm3j/8er6rv
title: msXV_042v_MMSI+RTI+TX940IR_025_F.tif
DOI: 10.25346/s6lqjm3j/tgr6jf
title: msXV_042v_MMSI+RTI+TX735IR_024_F.tif
DOI: 10.25346/s6lqjm3j/kiddhu
title: msXV_042v_MMSI+RTI+TX615RO_023_F.tif
DOI: 10.25346/s6lqjm3j/b96iam
title: msXV_042v_MMSI+RTI+TX1050R_026_F.tif
DOI: 10.25346/s6lqjm3j/8iel8p
title: msXV_042v_MMSI+RTI+TX1050R_022_F.tif
DOI: 10.25346/s6lqjm3j/1vxe2z
title: msXV_042v_MMSI+RTI+M1050IR_021_F.tif
DOI: 10.25346/s6lqjm3j/jksuwq
title: msXV_042v_MMSI+RTI+M1050IR_020_F.tif
DOI: 10.25346/s6lqjm3j/oug1vy
title: msXV_042v_MMSI+RTI+M1050IR_019_F.tif
DOI: 10.25346/s6lqjm3j/7rvmyl
title: msXV_042v_MMSI+RTI+M0940IR_018_F.tif
DOI: 10.25346/s6lqjm3j/lq6gdg
title: msXV_042v_MMSI+RTI+M0850IR_017_F.tif
DOI: 10.25346/s6lqjm3j/ffhxec
title: msXV_042v_MMSI+RTI+M0780IR_016_F.tif
DOI: 10.25346/s6lqjm3j/uvkwhz
title: msXV_042v_MMSI+RTI+M0735IR_015_F.tif
DOI: 10.25346/s6lqjm3j/ajptxd
title: msXV_042v_MMSI+RTI+M0700IR_014_F.tif
DOI: 10.25346/s6lqjm3j/enojvj
title: msXV_042v_MMSI+RTI+M0655DR_013_F.tif
DOI: 10.25346/s6lqjm3j/boee54
title: msXV_042v_MMSI+RTI+M0630RD_012_F.tif
DOI: 10.25346/s6lqjm3j/lyjl2p
title: msXV_042v_MMSI+RTI+M0615RO_011_F.tif
DOI: 10.25346/s6lqjm3j/loxqqb
title: msXV_042v_MMSI+RTI+M0590AM_010_F.tif
DOI: 10.25346/s6lqjm3j/cmwpb8
title: msXV_042v_MMSI+RTI+M0560LI_009_F.tif
DOI: 10.25346/s6lqjm3j/nttol7
title: msXV_042v_MMSI+RTI+M0530GN_008_F.tif
DOI: 10.25346/s6lqjm3j/q14sjw
title: msXV_042v_MMSI+RTI+M0505CN_007_F.tif
DOI: 10.25346/s6lqjm3j/87afsc
title: msXV_042v_MMSI+RTI+M0470LB_006_F.tif
DOI: 10.25919/y8qg-d252
title: NBDL-HK3R5BP7HXX40A
DOI: 10.25919/qtzw-4z18
title: NBDL-HK3R5BNRJXV10B
DOI: 10.25919/nzn7-s467
title: NBDL-HK3R0HK2K7HD15
DOI: 10.25919/z40w-6144
title: NBDL-HK3QY5P1H9W6PQ
DOI: 10.25919/rmrw-hd15
title: NBDL-HK3R0HNSJ86WN6
DOI: 10.25919/rant-fb70
title: NBDL-HK3QV5PGM4KPSS
DOI: 10.18144/0cfd529b-e384-40e8-a866-fca4532897e6
title: Données traitées de sismique réflexion 2D anciennes campagnes utilisées dans le programme Geoscan IDF

description: Résultats du retraitement de près de 1700 km de sismique réflexion 2D de campagnes d'exploration pétrolières datant des années 1982 à 1992, utilisées dans le cadre du programme d'exploration des ressources géothermales profondes de l'ouest et du sud de l'Île-de-France (Géoscan IDF) financé par l'ADEME. 

Le jeu de données est composé des stacks PSTM (fichier zip contenant les données PSTM brutes PSTM_Stack_Raw.segy, PSTM après traitement _PSTM_Final_PostStackProcessing.segy et PSTM après traitement d'égalisation latérale en amplitude des traces _PSTM_Final_PostStackProcessing-TraceBalance), du modèle de vitesses (fichier zip contenant les données _migr_PSTM_vel_field_datum.segy) pour l'ensemble des lignes retraitées, des rapports décrivant le processus de traitement mis en place (deux rapports pdf décrivant les traitements pour le lot forfaitaire composé de 18 lignes traitées en 1er phase de projet et pour le lot unitaire composé de 73 lignes traitées en seconde phase de projet) et d'un fichier shapefile contenant la localisation des lignes retraitées. Au total, le jeu de données regroupe 91 lignes de sismique réflexion 2D.
DOI: 10.25919/g4ew-p244
title: NBDL-HK3R0HNRM86TBA
DOI: 10.25919/js58-0q19
title: NBDL-HK3R5BP0KXXXWE
DOI: 10.25919/pg3b-4s94
title: NBDL-HK3R5BPVHXWR7T
DOI: 10.15468/dl.6p9tm6
title: Occurrence Download

description: A dataset containing 3761 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Mountain Invasion Research Network (MIREN) survey"
 ]
}

 The dataset includes 3761 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005220-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25919/mk1q-ak37
title: NBDL-HK3QY5P2K9W44V
DOI: 10.25919/56ba-jt98
title: NBDL-HK3QY5Q3N9TNEF
DOI: 10.25919/6fcq-yz21
title: NBDL-HK3QY5P8Q9XMC3
DOI: 10.25919/w4a5-1p53
title: NBDL-HK3R0HMDJ7VAHP
DOI: 10.25919/30q2-5x79
title: NBDL-HK3QY5QMQ9X7GK
DOI: 10.25919/bfg5-jy70
title: NBDL-HK3QY5NWG9JY7P
DOI: 10.11583/dtu.30218278
title: Data for the publication: "Bipolar Membranes Via Divergent Synthesis: On the Interplay between Ion Exchange Capacity and Water Dissociation Catalysis"

description: Raw data for the figures in the publication (and supporting information): "Bipolar Membranes Via Divergent Synthesis: On the Interplay between Ion Exchange Capacity and Water Dissociation Catalysis" (https://doi.org/10.1021/acsami.4c12213)The data are collected in a .opju file, which can be viewed and copied in Origin or Origin Viewer. <br>
DOI: 10.11583/dtu.30218278.v1
title: Data for the publication: "Bipolar Membranes Via Divergent Synthesis: On the Interplay between Ion Exchange Capacity and Water Dissociation Catalysis"

description: Raw data for the figures in the publication (and supporting information): "Bipolar Membranes Via Divergent Synthesis: On the Interplay between Ion Exchange Capacity and Water Dissociation Catalysis" (https://doi.org/10.1021/acsami.4c12213)The data are collected in a .opju file, which can be viewed and copied in Origin or Origin Viewer. <br>
DOI: 10.25919/63zm-7558
title: NBDL-HK3R0HK0Q7HAAX
DOI: 10.25919/2eny-zt62
title: NBDL-HK3R0HN1J7SF86
DOI: 10.25919/0pba-7s63
title: NBDL-HK3R5BPJQXW62P
DOI: 10.15468/dl.68czbt
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Living Specimen)",
 "TaxonKey is Batagur borneoensis"
 ]
}

 The dataset includes 15 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005221-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/3178cbfe-692d-43df-aa1f-9b677a725ec8
title: In-situ Wave Buoy and CMEMS Hindcast Wave Data at Crotone: A Comparative Study

description: This dataset comprises hourly records of <strong>significant wave height (H</strong><sub><strong>m0</strong></sub><strong>)</strong> and <strong>spectral peak period (T</strong><sub><strong>p</strong></sub><strong>)</strong> from the Crotone Wave Buoy (in-situ observations), along with temporally matched data from the CMEMS (Copernicus Marine Environment Monitoring Service) Mediterranean Sea Waves Reanalysis for the period 2010–2013.
DOI: 10.4121/3178cbfe-692d-43df-aa1f-9b677a725ec8.v1
title: In-situ Wave Buoy and CMEMS Hindcast Wave Data at Crotone: A Comparative Study

description: This dataset comprises hourly records of <strong>significant wave height (H</strong><sub><strong>m0</strong></sub><strong>)</strong> and <strong>spectral peak period (T</strong><sub><strong>p</strong></sub><strong>)</strong> from the Crotone Wave Buoy (in-situ observations), along with temporally matched data from the CMEMS (Copernicus Marine Environment Monitoring Service) Mediterranean Sea Waves Reanalysis for the period 2010–2013.
DOI: 10.34810/data2762
title: Replication data for: Agricultural Management and Culinary Culture in the Late Bronze Age and Early Iron Age Aegean: Archaeobotanical and Stable Isotope Insights from Region I, Xeropolis, Lefkandi

description: This dataset provides archaeobotanical and stable isotope data from Region I, Xeropolis, Lefkandi, supporting the study of agricultural management and culinary culture during the Late Bronze Age and Early Iron Age Aegean. The data include: &lt;br&gt;

&lt;br&gt;1) Stable isotope overall methodology.
&lt;br&gt;2) The real and measured values of all calibration and check standard used in the analysis.
&lt;br&gt;3) Lefkandi Building M sample data.
&lt;br&gt;4) The distribution of plant macroremains across time and space by detailed sub-phase.
&lt;br&gt;5) All the raw carbon and stable isotope results data.
DOI: 10.15468/dl.y685yj
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "OccurrenceStatus is Present",
 "TaxonKey is Phylloneura westermanni"
 ]
}

 The dataset includes 27 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005224-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.2653214
title: S37 | LITMINEDNEURO | Neurotoxicants from literature mining PubMed

description: A list of chemicals associated with neurotoxicity compiled through systematic literature mining of PubMed using MeSH terms, compiled by Nancy Baker, Antony Williams (US EPA) and Emma Schymanski (LCSB), details in Schymanski et al. 2019, DOI: 10.1039/C9EM00068B and on CompTox. Dataset DOI: 10.5281/zenodo.2653214

Updated 10/06/2019 to include entries that were registered but not yet publicly available when the previous version was released.
DOI: 10.5281/zenodo.3242298
title: S37 | LITMINEDNEURO | Neurotoxicants from literature mining PubMed

description: A list of chemicals associated with neurotoxicity compiled through systematic literature mining of PubMed using MeSH terms, compiled by Nancy Baker, Antony Williams (US EPA) and Emma Schymanski (LCSB), details in Schymanski et al. 2019, DOI: 10.1039/C9EM00068B and on CompTox. Dataset DOI: 10.5281/zenodo.2653214

Updated 10/06/2019 to include entries that were registered but not yet publicly available when the previous version was released.
DOI: 10.15468/dl.37meuh
title: Occurrence Download

description: A dataset listing the 753 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cousinia"
 ]
}

 The dataset's 753 records were derived from 126 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005212-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17697079
title: 7-Tage-Inzidenz der COVID-19-Fälle in Deutschland

description: Im Datensatz "7-Tage-Inzidenz der COVID-19-Fälle in Deutschland" des Robert Koch-Instituts werden die täglich aktualisierten COVID-19-Inzidenzen auf Bundes-, Landes- und Landkreisebene basierend auf den Meldungen nach dem Infektionsschutzgesetz (IfSG) bereitgestellt. Die 7-Tage-Inzidenz wird definiert als Anzahl gemeldeter Fälle der letzten sieben Tage pro 100.000 Einwohner:innen und differenziert nach Altersgruppen und Regionen. Die Datenverarbeitung erfolgt vollständig elektronisch über das Deutsche Elektronische Melde- und Informationssystem (DEMIS).
DOI: 10.5281/zenodo.17697109
title: COVID-19-Todesfälle in Deutschland

description: Im Datensatz "COVID-19-Todesfälle in Deutschland" des Robert Koch-Instituts werden täglich aktualisierte Informationen zu COVID-19-bedingten Todesfällen in Deutschland bereitgestellt. Die Datenerhebung erfolgt im Rahmen des Infektionsschutzgesetzes (IfSG). Der Datensatz umfasst aggregierte Todesfallzahlen nach Berichtsdatum, Altersgruppen und Bundesländern und wird ergänzt durch den Fall-Verstorbenen-Anteil. Der Datensatz ermöglicht fundierte Analysen zur Bewertung der Krankheitsschwere und Verbreitung von COVID-19 in Deutschland.
DOI: 10.15468/dl.xurz5j
title: Occurrence Download

description: A dataset containing 3415 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Xyleborus affinis"
 ]
}

 The dataset includes 3415 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005225-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/dans-z8m-vuz4
title: Prehistorische visweren en fuiken bij Emmeloord
title: ADC 140

description: &lt;p&gt;onderzoeksrapport&lt;/p&gt;
description: &lt;p&gt;ADC 140&lt;/p&gt;
DOI: 10.15468/dl.2qmrbp
title: Occurrence Download

description: A dataset containing 3415 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Xyleborus affinis"
 ]
}

 The dataset includes 3415 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005226-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gshdj5
title: Occurrence Download

description: A dataset listing the 96 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eremurus"
 ]
}

 The dataset's 96 records were derived from 156 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005217-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17605/osf.io/9by25
title: Exculpatory moral ignorance

description: Supplementary Material accompanying the paper "The exculpatory potential of moral ignorance: Evidence from a blame-updating paradigm".
DOI: 10.34740/kaggle/dsv/13848244
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.x94eav
title: Occurrence Download

description: A dataset containing 793 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Korea, Republic of",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Camellia japonica",
 "Year 2010-2025"
 ]
}

 The dataset includes 793 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005229-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.886vq2
title: Occurrence Download

description: A dataset containing 88138 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Physeter",
 "Year 1860-2025"
 ]
}

 The dataset includes 88138 records from 445 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005204-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17546927
title: Data and Code for "Spatial patterns of traffic saturation on Flemish highways: a six-year time series cluster analysis"

description: This repository contains the datasets and data sources, analysis code, and workflow associated with the manuscript "Spatial patterns of traffic saturation on Flemish highways: a six-year time series cluster analysis". The following resources are provided:



Data Files:



road_segments_with_clusters.geojson: Geographic representation of 1044 highway segments, of which 819 with complete time series data and cluster assignments for workdays (6 clusters), Saturdays (3 clusters), and Sundays (4 clusters). Includes attributes: nat_ref (highway code), segment (segment name), and cluster label per day type. Coordinate system: EPSG:31370.

traffic_saturation_timeseries.csv: Monthly traffic saturation time series for 819 highway segments covering January 2018 to December 2023 (72 months), with separate columns for workdays, Saturdays, and Sundays.



Code:



analysis.py: Python script implementing the complete analysis workflow, including:



Data preprocessing (min-max scaling and 3-month rolling average)

Dynamic Time Warping (DTW) distance computation

Hierarchical Agglomerative Clustering with Ward's linkage

Silhouette score validation

Visualization of dendrograms and mean time series per cluster






The script generates the main figures presented in the manuscript (silhouette plots, dendrograms, and mean time series plots with standard deviations).

The analysis applies time series clustering to identify distinct spatiotemporal traffic saturation patterns across the Flemish-Brussels highway network. Traffic saturation is calculated as the intensity-to-capacity (I/C) ratio using Passenger Car Equivalents (PCE) from double inductive loop detectors. Analysis was conducted separately for workdays (Monday-Friday, excluding public holidays), Saturdays, and Sundays. Hierarchical clustering with DTW distance revealed: - 6 distinct clusters for workdays - 3 clusters for Saturdays- 4 clusters for Sundays

Data Sources

Agentschap Wegen en Verkeer (Flemish Traffic Control Centre) (http://indicatoren.verkeerscentrum.be/vc.indicators.web.gui/frontpage/index?page=%2Ffrontpage%2Findex.html). Data accessed: 2024. The dataset provided here includes preprocessed and clustered results; the original raw data remains available from the Flemish Traffic Control Centre. Reuse of the original data is permitted under the Open Data License of the Flemish Government (Gratis Open Data Licentie van de Vlaamse Overheid). Temporal coverage: January 2018 - December 2023. Geographic coverage: Flanders and Brussels Capital Region, Belgium. Highway segment geometry derived from OpenStreetMap (OSM), providing the spatial delineation of controlled-access highway segments used in the analysis. OSM data is made available under the Open Data Commons Open Database License (ODbL), which permits reuse with attribution.