cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.heic9g
title: Occurrence Download

description: A dataset containing 121 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Morocco",
 "TaxonKey is Testudo graeca Linnaeus, 1758"
 ]
}

 The dataset includes 121 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004560-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rmhn2t
title: Occurrence Download

description: A dataset containing 160 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phyllidiella zeylanica (Kelaart, 1858)"
 ]
}

 The dataset includes 160 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095606-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7xsag8
title: Occurrence Download

description: A dataset listing the 76254 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((26.7542939189847 1.2186193716968,36.9991642472184 13.6345880476356,41.544901412726 10.038706409249,37.5419388341447 2.16847489881781,35.84576825 -7.80500813595271,36.2528491901947 -16.0144737632128,34.2174444892211 -16.5572483501391,27.5006089760084 -8.95840413317107,26.7542939189847 1.2186193716968))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 76254 records were derived from 1132 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025218-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.62std8
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calamagrostis vulcanica Swallen"
 ]
}

 The dataset includes 39 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113034-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.63ls4i
title: Occurrence Download

description: A dataset containing 146397 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Myanmar"
 ]
}

 The dataset includes 146397 records from 471 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029975-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.664vvq
title: Occurrence Download

description: A dataset containing 9633 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "TaxonKey is one of (Cedrela odorata L.)"
 ]
}

 The dataset includes 9633 records from 136 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0185094-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.684g8a
title: Occurrence Download

description: A dataset containing 26153 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Bromus catharticus Vahl",
 "HasCoordinate is true"
 ]
}

 The dataset includes 26153 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008595-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.68xk3r
title: Occurrence Download

description: A dataset containing 19947 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Country is one of (United States of America, Mexico, Canada)",
 "Year is greater than 1978",
 "Year is less than 2014",
 "HasGeospatialIssue is false",
 "TaxonKey is Opistognathus aurifrons (Jordan & Thompson, 1905)"
 ]
}

 The dataset includes 19947 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0112997-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6dertc
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Zostera marina L."
 ]
}

 The dataset includes 63 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009024-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.54jh8a
title: Occurrence Download

description: A dataset containing 513 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Hungary",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Asclepias syriaca L."
 ]
}

 The dataset includes 513 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020594-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6e3gzp
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calisto pulchella Lathy, 1899"
 ]
}

 The dataset includes 72 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008586-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6e7bzd
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pochazia shantungensis (Chou & Lu, 1977)",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0184991-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12723462
title: Comparing LLM-Generated Tips and Expert-Created Tips in Quantum Computing Education

description: This dataset includes the anonymized data from two studies with the goal to evaluate if LLM-generated tips can be used instead of expert-created tips to help students answer quantum computing questions. For the main study (main_test_anonymous.csv) a between-subject design was used to quizz participants of the QUIKSTART 2024 summer school, giving them four multiple-choice quantum physics questions and one tip per question. Each participant was assigned one of four conditions represented by the combination of "creator" and "labeled_as" column in the csv file.  In addition we asked to rate quality, correctness and helpfulness for each tip and to rate the perceived difficulty of the question. We removed demographics for anonymities sake.

Additionally, we conducted a study directly comparing the LLM-generated and expert-created tips (tip_eval_anonymous.csv). Where we let experts and students rate the tips helpfulness, correctness, if they gave away the answer and if they pointed to relevant concepts. Furthermore, participants had to decide for each question which tip they preferred and were able to leave a comment to give their reasoning. We removed demographics for anonymities sake.These datasets were evaluated in the paper "LLM-Generated Tips Rival Expert-Created Tips in Helping Students Answer Quantum-Computing Questions" by Lars Krupp, Jonas Bley, Isacco Gobbi, Alexander Geng, Sabine Müller, Sungho Suh, Ali Moghiseh, Arcesio Castaneda Medina, Valeria Bartsch, Artur Widera, Herwig Ott, Paul Lukowicz, Jakob Karolus, Maximilian Kiefer-Emmanouilidis
DOI: 10.5281/zenodo.12723463
title: Comparing LLM-Generated Tips and Expert-Created Tips in Quantum Computing Education

description: This dataset includes the anonymized data from two studies with the goal to evaluate if LLM-generated tips can be used instead of expert-created tips to help students answer quantum computing questions. For the main study (main_test_anonymous.csv) a between-subject design was used to quizz participants of the QUIKSTART 2024 summer school, giving them four multiple-choice quantum physics questions and one tip per question. Each participant was assigned one of four conditions represented by the combination of "creator" and "labeled_as" column in the csv file.  In addition we asked to rate quality, correctness and helpfulness for each tip and to rate the perceived difficulty of the question. We removed demographics for anonymities sake.

Additionally, we conducted a study directly comparing the LLM-generated and expert-created tips (tip_eval_anonymous.csv). Where we let experts and students rate the tips helpfulness, correctness, if they gave away the answer and if they pointed to relevant concepts. Furthermore, participants had to decide for each question which tip they preferred and were able to leave a comment to give their reasoning. We removed demographics for anonymities sake.These datasets were evaluated in the paper "LLM-Generated Tips Rival Expert-Created Tips in Helping Students Answer Quantum-Computing Questions" by Lars Krupp, Jonas Bley, Isacco Gobbi, Alexander Geng, Sabine Müller, Sungho Suh, Ali Moghiseh, Arcesio Castaneda Medina, Valeria Bartsch, Artur Widera, Herwig Ott, Paul Lukowicz, Jakob Karolus, Maximilian Kiefer-Emmanouilidis
DOI: 10.15468/dl.sxgthc
title: Occurrence Download

description: A dataset containing 769 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((-120 -60,-25 -60,-25 30,-120 30,-120 -60))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Saguinus geoffroyi (Pucheran, 1845)"
 ]
}

 The dataset includes 769 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020595-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.48u3dz
title: Occurrence Download

description: A dataset containing 318 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "TaxonKey is Nasalis larvatus (van Wurmb, 1787)"
 ]
}

 The dataset includes 318 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020596-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6ecn8j
title: Occurrence Download

description: A dataset listing the 3297670 species recorded in GBIF matching the query:
{
 "OccurrenceStatus" : [
 "is Present"
 ]
}

 The dataset's 3297670 records were derived from 31694 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073149-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18710/ubexzz/qseebq
title: 20180316_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/ta3hk9
title: 20181017_KHO_REDTEC_gps.txt
DOI: 10.18710/ubexzz/tucpty
title: 20181019_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/xknsgu
title: 20180919_KHO_REDTEC_gps.txt
DOI: 10.18710/ubexzz/zmp1nd
title: 20180825_KHO_REDTEC_glo.txt
DOI: 10.18710/yhosw3/57vp6b
title: 20190925_HOP_REDOBS_glo.txt
DOI: 10.18710/yhosw3/6av4j3
title: 20190825_HOP_REDOBS_gal.txt
DOI: 10.18710/yhosw3/6ihcnc
title: 20190606_HOP_REDOBS_gal.txt
DOI: 10.18710/yhosw3/8bzdog
title: 20190410_HOP_REDOBS_glo.txt
DOI: 10.18710/yhosw3/ax9bbl
title: 20190226_HOP_REDOBS_gps.txt
DOI: 10.18710/yhosw3/bkhrfp
title: 20190903_HOP_REDOBS_gal.txt
DOI: 10.18710/yhosw3/dru5ie
title: 20190723_HOP_REDOBS_gal.txt
DOI: 10.18710/yhosw3/eejavk
title: 20190310_HOP_REDOBS_gal.txt
DOI: 10.18710/yhosw3/efoqny
title: 20190722_HOP_REDOBS_glo.txt
DOI: 10.18710/yhosw3/h2jsdz
title: 20190520_HOP_REDOBS_gal.txt
DOI: 10.18710/yhosw3/ndnkac
title: 20190705_HOP_REDOBS_gal.txt
DOI: 10.18710/yhosw3/osvw6i
title: 20190114_HOP_REDOBS_glo.txt
DOI: 10.18710/yhosw3/rft4a5
title: 20190926_HOP_REDOBS_glo.txt
DOI: 10.18710/yhosw3/riddts
title: 20190728_HOP_REDOBS_glo.txt
DOI: 10.18710/yhosw3/rmvvgv
title: 20190130_HOP_REDOBS_glo.txt
DOI: 10.18710/yhosw3/srnxzi
title: 20190820_HOP_REDOBS_gps.txt
DOI: 10.18710/yhosw3/twkt2u
title: 20191101_HOP_REDOBS_glo.txt
DOI: 10.18710/yhosw3/utdj7l
title: 20190902_HOP_REDOBS_gps.txt
DOI: 10.18710/yhosw3/yxgrbo
title: 20190207_HOP_REDOBS_gal.txt
DOI: 10.18710/suq4lx/1uzgar
title: 20190427_KHO_REDOBS_gps.txt
DOI: 10.18710/suq4lx/9pnxc0
title: 20191228_KHO_REDOBS_gal.txt
DOI: 10.18710/suq4lx/ozje3y
title: 20191101_KHO_REDOBS_gps.txt
DOI: 10.18710/suq4lx/rg3pgp
title: 20190723_KHO_REDOBS_gps.txt
DOI: 10.18710/suq4lx/x1xve3
title: 20191109_KHO_REDOBS_gps.txt
DOI: 10.18710/6ptnja/lvxynx
title: 20190121_BJN_REDOBS_gps.txt
DOI: 10.18710/6ptnja/rvrh3p
title: 20191022_BJN_REDOBS_gal.txt
DOI: 10.18710/qtsmlq/bcfujv
title: 20180417_HOP_REDTEC_gps.txt
DOI: 10.18710/qtsmlq/fctk3p
title: 20181018_HOP_REDTEC_gal.txt
DOI: 10.18710/qtsmlq/hupsc0
title: 20180710_HOP_REDTEC_gps.txt
DOI: 10.18710/qtsmlq/ihlxyf
title: 20180424_HOP_REDTEC_gal.txt
DOI: 10.18710/qtsmlq/ky2kd7
title: 20181124_HOP_REDTEC_gal.txt
DOI: 10.18710/qtsmlq/lfghg8
title: 20180404_HOP_REDTEC_gal.txt
DOI: 10.18710/qtsmlq/o1ae4t
title: 20180510_HOP_REDTEC_glo.txt
DOI: 10.18710/qtsmlq/r4b7xg
title: 20181002_HOP_REDTEC_gps.txt
DOI: 10.18710/qtsmlq/rfgljg
title: 20180917_HOP_REDTEC_gal.txt
DOI: 10.18710/qtsmlq/ye7szz
title: 20180819_HOP_REDTEC_gal.txt
DOI: 10.18710/suq4lx/1gbgmj
title: 20190731_KHO_REDOBS_gal.txt
DOI: 10.18710/suq4lx/3akbyu
title: 20190216_KHO_REDOBS_gal.txt
DOI: 10.18710/suq4lx/bzomaq
title: 20190517_KHO_REDOBS_gps.txt
DOI: 10.18710/suq4lx/hpbepd
title: 20190418_KHO_REDOBS_gal.txt
DOI: 10.18710/suq4lx/r8vgvn
title: 20191007_KHO_REDOBS_glo.txt
DOI: 10.18710/ubexzz/d44lcq
title: 20180913_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/vwfveg
title: 20180202_KHO_REDTEC_gal.txt
DOI: 10.18710/yhosw3/pgdkxc
title: 20191219_HOP_REDOBS_gps.txt
DOI: 10.18710/yhosw3/tm5ves
title: 20190716_HOP_REDOBS_gps.txt
DOI: 10.18710/suq4lx/4ox4u7
title: 20191108_KHO_REDOBS_gal.txt
DOI: 10.18710/suq4lx/ul0qjs
title: 20190322_KHO_REDOBS_gps.txt
DOI: 10.18710/ubexzz/x41t19
title: 20180409_KHO_REDTEC_gal.txt
DOI: 10.18710/qtsmlq/3vf1c0
title: 20180316_HOP_REDTEC_gal.txt
DOI: 10.18710/qtsmlq/atpqvs
title: 20180728_HOP_REDTEC_gal.txt
DOI: 10.18710/qtsmlq/fzj8oj
title: 20180702_HOP_REDTEC_gal.txt
DOI: 10.18710/qtsmlq/mzby6t
title: 20181213_HOP_REDTEC_gal.txt
DOI: 10.18710/qtsmlq/o7yort
title: 20180402_HOP_REDTEC_gal.txt
DOI: 10.18710/qtsmlq/ojnwqq
title: 20180519_HOP_REDTEC_glo.txt
DOI: 10.18710/qtsmlq/olhnh1
title: 20181231_HOP_REDTEC_gal.txt
DOI: 10.18710/qtsmlq/rqjfe6
title: 20180527_HOP_REDTEC_gal.txt
DOI: 10.18710/qtsmlq/zky2ej
title: 20180722_HOP_REDTEC_gal.txt
DOI: 10.18710/qtsmlq/zobfg0
title: 20181012_HOP_REDTEC_gal.txt
DOI: 10.18710/suq4lx/37jy99
title: 20190417_KHO_REDOBS_gps.txt
DOI: 10.18710/suq4lx/98cy6t
title: 20190620_KHO_REDOBS_gps.txt
DOI: 10.18710/suq4lx/bqxhjg
title: 20190715_KHO_REDOBS_gps.txt
DOI: 10.18710/suq4lx/cavawo
title: 20190612_KHO_REDOBS_gal.txt
DOI: 10.18710/suq4lx/eyx11q
title: 20191226_KHO_REDOBS_gal.txt
DOI: 10.18710/suq4lx/fksdyw
title: 20191125_KHO_REDOBS_glo.txt
DOI: 10.18710/suq4lx/gvvi74
title: 20190524_KHO_REDOBS_gps.txt
DOI: 10.18710/suq4lx/lonsef
title: 20190315_KHO_REDOBS_gal.txt
DOI: 10.18710/suq4lx/lx1x4x
title: 20190312_KHO_REDOBS_glo.txt
DOI: 10.18710/suq4lx/maktkz
title: 20190605_KHO_REDOBS_glo.txt
DOI: 10.18710/suq4lx/mqoo2f
title: 20190607_KHO_REDOBS_gal.txt
DOI: 10.18710/suq4lx/pjvjom
title: 20190131_KHO_REDOBS_glo.txt
DOI: 10.18710/suq4lx/q8pafh
title: 20191218_KHO_REDOBS_gps.txt
DOI: 10.18710/suq4lx/sjnjmm
title: 20191002_KHO_REDOBS_gps.txt
DOI: 10.18710/suq4lx/t1jwyq
title: 20190725_KHO_REDOBS_glo.txt
DOI: 10.18710/suq4lx/t4ephx
title: 20190317_KHO_REDOBS_glo.txt
DOI: 10.18710/suq4lx/tdknyq
title: 20191004_KHO_REDOBS_gps.txt
DOI: 10.18710/suq4lx/yflra7
title: 20190805_KHO_REDOBS_glo.txt
DOI: 10.18710/suq4lx/ymecvo
title: 20190505_KHO_REDOBS_gps.txt
DOI: 10.18710/ubexzz/0zn3ua
title: 20180722_KHO_REDTEC_gps.txt
DOI: 10.18710/ubexzz/3wawx7
title: 20180308_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/4asua1
title: 20180312_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/4c1vfp
title: 20180803_KHO_REDTEC_gps.txt
DOI: 10.18710/ubexzz/abttpi
title: 20180717_KHO_REDTEC_gps.txt
DOI: 10.18710/ubexzz/ar8ul0
title: 20181124_KHO_REDTEC_gal.txt
DOI: 10.18710/ubexzz/bf62f0
title: 20181004_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/bwtdmj
title: 20181115_KHO_REDTEC_gps.txt
DOI: 10.18710/ubexzz/cksxfx
title: 20180813_KHO_REDTEC_gps.txt
DOI: 10.18710/ubexzz/geo26p
title: 20180316_KHO_REDTEC_gps.txt
DOI: 10.18710/ubexzz/j3snns
title: 20180327_KHO_REDTEC_gps.txt
DOI: 10.18710/ubexzz/pgqldk
title: 20181122_KHO_REDTEC_gal.txt
DOI: 10.18710/ubexzz/pobnmz
title: 20181119_KHO_REDTEC_gps.txt
DOI: 10.18710/ubexzz/qytlfh
title: 20181231_KHO_REDTEC_gal.txt
DOI: 10.18710/ubexzz/r48upx
title: 20180509_KHO_REDTEC_gps.txt
DOI: 10.18710/ubexzz/wu4a8a
title: 20180826_KHO_REDTEC_gal.txt
DOI: 10.18710/ubexzz/yfuqw2
title: 20180219_KHO_REDTEC_glo.txt
DOI: 10.18710/6ptnja/5fsljc
title: 20190403_BJN_REDOBS_gal.txt
DOI: 10.18710/6ptnja/6bhizm
title: 20190329_BJN_REDOBS_gal.txt
DOI: 10.18710/6ptnja/bdhxzc
title: 20190113_BJN_REDOBS_glo.txt
DOI: 10.18710/6ptnja/dmk0rh
title: 20190224_BJN_REDOBS_gps.txt
DOI: 10.18710/6ptnja/g8w4w7
title: 20191121_BJN_REDOBS_glo.txt
DOI: 10.18710/6ptnja/ix1vbw
title: 20190613_BJN_REDOBS_gal.txt
DOI: 10.18710/6ptnja/jzeoit
title: 20190928_BJN_REDOBS_glo.txt
DOI: 10.18710/6ptnja/kwba7m
title: 20191001_BJN_REDOBS_gal.txt
DOI: 10.18710/6ptnja/ot9jli
title: 20190602_BJN_REDOBS_glo.txt
DOI: 10.18710/6ptnja/paq6mb
title: 20191031_BJN_REDOBS_glo.txt
DOI: 10.18710/6ptnja/q38ogl
title: 20190606_BJN_REDOBS_gps.txt
DOI: 10.18710/6ptnja/qe405g
title: 20190423_BJN_REDOBS_glo.txt
DOI: 10.18710/6ptnja/xi6jgr
title: 20190717_BJN_REDOBS_gps.txt
DOI: 10.18710/qtsmlq/aeay98
title: 20180223_HOP_REDTEC_glo.txt
DOI: 10.18710/qtsmlq/bsgvs0
title: 20181219_HOP_REDTEC_gal.txt
DOI: 10.18710/qtsmlq/g6a5f6
title: 20180618_HOP_REDTEC_gal.txt
DOI: 10.18710/qtsmlq/hqrxj6
title: 20180704_HOP_REDTEC_gps.txt
DOI: 10.18710/qtsmlq/jja7p2
title: 20180729_HOP_REDTEC_gal.txt
DOI: 10.18710/qtsmlq/k220w9
title: 20180501_HOP_REDTEC_gps.txt
DOI: 10.18710/qtsmlq/rdnlly
title: 20180709_HOP_REDTEC_gal.txt
DOI: 10.18710/qtsmlq/rvskwz
title: 20180717_HOP_REDTEC_gal.txt
DOI: 10.18710/qtsmlq/sn8p1x
title: 20180529_HOP_REDTEC_glo.txt
DOI: 10.18710/qtsmlq/wbpxla
title: 20180603_HOP_REDTEC_glo.txt
DOI: 10.18710/yhosw3/5gvdic
title: 20190509_HOP_REDOBS_gps.txt
DOI: 10.18710/yhosw3/caojit
title: 20190311_HOP_REDOBS_gps.txt
DOI: 10.18710/yhosw3/f5godf
title: 20190323_HOP_REDOBS_gps.txt
DOI: 10.18710/yhosw3/tmubtn
title: 20190819_HOP_REDOBS_glo.txt
DOI: 10.18710/yhosw3/tq2kb2
title: 20190730_HOP_REDOBS_glo.txt
DOI: 10.18710/yhosw3/yhawlz
title: 20190801_HOP_REDOBS_glo.txt
DOI: 10.18710/6ptnja/3fjkx8
title: 20190531_BJN_REDOBS_glo.txt
DOI: 10.18710/6ptnja/57blm0
title: 20191002_BJN_REDOBS_glo.txt
DOI: 10.18710/6ptnja/9w6jr3
title: 20190516_BJN_REDOBS_gal.txt
DOI: 10.18710/6ptnja/djiref
title: 20190407_BJN_REDOBS_gal.txt
DOI: 10.18710/6ptnja/gjzwqh
title: 20190629_BJN_REDOBS_glo.txt
DOI: 10.18710/6ptnja/iqdk5q
title: 20190612_BJN_REDOBS_gps.txt
DOI: 10.18710/6ptnja/spmzuu
title: 20190910_BJN_REDOBS_glo.txt
DOI: 10.18710/6ptnja/vafgq0
title: 20190409_BJN_REDOBS_glo.txt
DOI: 10.18710/6ptnja/vhrr66
title: 20191020_BJN_REDOBS_gps.txt
DOI: 10.18710/6ptnja/y6tsrm
title: 20190730_BJN_REDOBS_gal.txt
DOI: 10.18710/ubexzz/fidlc9
title: 20180528_KHO_REDTEC_gal.txt
DOI: 10.18710/ubexzz/yiyitz
title: 20180312_KHO_REDTEC_gps.txt
DOI: 10.18710/yhosw3
title: GNSS Scintillation Data (60 s) at Hopen in 2019

description: &lt;p&gt;This data set contains phase and amplitude scintillation data at 60 seconds time resolution at Hopen, 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: Hopen OBS 60 s
description: Matlab, R2018a
DOI: 10.18710/qtsmlq/9opfih
title: 20180425_HOP_REDTEC_glo.txt
DOI: 10.18710/qtsmlq/aszvra
title: 20180908_HOP_REDTEC_glo.txt
DOI: 10.18710/qtsmlq/ffmkmo
title: 20180204_HOP_REDTEC_gal.txt
DOI: 10.18710/qtsmlq/lfsmgr
title: 20181105_HOP_REDTEC_gal.txt
DOI: 10.18710/qtsmlq/velpyv
title: 20180124_HOP_REDTEC_gal.txt
DOI: 10.18710/suq4lx/1ojwvv
title: 20191204_KHO_REDOBS_gps.txt
DOI: 10.18710/suq4lx/dashnb
title: 20190628_KHO_REDOBS_gal.txt
DOI: 10.18710/suq4lx/dmwwsv
title: 20190727_KHO_REDOBS_gal.txt
DOI: 10.18710/suq4lx/fxzfna
title: 20190721_KHO_REDOBS_gal.txt
DOI: 10.18710/suq4lx/gpkke5
title: 20191129_KHO_REDOBS_gps.txt
DOI: 10.18710/suq4lx/kqfo9h
title: 20190721_KHO_REDOBS_glo.txt
DOI: 10.18710/suq4lx/zpqon1
title: 20190705_KHO_REDOBS_glo.txt
DOI: 10.18710/ubexzz/tfrrk9
title: 20180205_KHO_REDTEC_glo.txt
DOI: 10.18710/suq4lx/fvvm2t
title: 20190611_KHO_REDOBS_gal.txt
DOI: 10.18710/suq4lx/jgi4rk
title: 20190302_KHO_REDOBS_glo.txt
DOI: 10.18710/suq4lx/nvzr6u
title: 20190211_KHO_REDOBS_glo.txt
DOI: 10.18710/ubexzz/0dnwcx
title: 20180324_KHO_REDTEC_gps.txt
DOI: 10.18710/ubexzz/7aj28i
title: 20180819_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/9xezjr
title: 20180322_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/bhlvxq
title: 20180615_KHO_REDTEC_gps.txt
DOI: 10.18710/ubexzz/bqnapn
title: 20180411_KHO_REDTEC_gps.txt
DOI: 10.18710/ubexzz/c59qle
title: 20180901_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/fhv5un
title: 20180530_KHO_REDTEC_gps.txt
DOI: 10.18710/ubexzz/fphyyq
title: 20180904_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/juzpgr
title: 20180820_KHO_REDTEC_gal.txt
DOI: 10.18710/ubexzz/lhwyuw
title: 20180511_KHO_REDTEC_gal.txt
DOI: 10.18710/ubexzz/vjf3fu
title: 20180906_KHO_REDTEC_gal.txt
DOI: 10.18710/ubexzz/zwe6yh
title: 20180603_KHO_REDTEC_gal.txt
DOI: 10.18710/ubexzz/niva3e
title: 20180519_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/z4c91t
title: 20181011_KHO_REDTEC_glo.txt
DOI: 10.18710/6ptnja/cvyvbt
title: 20191129_BJN_REDOBS_gal.txt
DOI: 10.18710/6ptnja/dhkyoo
title: 20191120_BJN_REDOBS_gal.txt
DOI: 10.18710/qtsmlq/6db5sx
title: 20180114_HOP_REDTEC_glo.txt
DOI: 10.18710/qtsmlq/bezppp
title: 20180211_HOP_REDTEC_gal.txt
DOI: 10.18710/qtsmlq/cwum2j
title: 20180226_HOP_REDTEC_gal.txt
DOI: 10.18710/qtsmlq/ixbmfa
title: 20181103_HOP_REDTEC_glo.txt
DOI: 10.18710/qtsmlq/lcubzj
title: 20180118_HOP_REDTEC_glo.txt
DOI: 10.18710/qtsmlq/xgunvz
title: 20180413_HOP_REDTEC_glo.txt
DOI: 10.18710/qtsmlq/yjpnu8
title: 20181214_HOP_REDTEC_glo.txt