cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23729/1845367b-99c4-4ac5-b37f-ab463e267c2c
title: Avoimen tieteen ja tutkimuksen vuoden 2022 seurannan tulokset

description: Tämä julkaisu sisältää AVOTT-seurannan sekä kesällä 2023 tehtyjen tarkistusten perusteella päivitetyt tulokset että alkuperäiset lokakuussa 2022 julkaistut tulokset.

Avoimen tieteen ja tutkimuksen seurannan tavoite on tukea organisaatioiden avoimen tieteen ja tutkimuksen kehitystyötä, tukea ja todentaa julistuksessa ja linjauksissa sovittujen tavoitteiden toteutumista sekä saada kokonaiskuva suomalaisen tieteen ja tutkimuksen avoimuuden tilasta. 

Tämä kokonaisuus sisältää vuoden 2022 avoimen tieteen ja tutkimuksen tulokset excel-tiedostoina.
Kokonaisuuteen kuuluu kolme tiedostoa:
1. AVOTT-seuranta_2022_kysymykset_pisteet.xlsx
2. AVOTT-seuranta_2022_lopullinen_tulos.xlsx
3. AVOTT-seuranta_2022_tarkistettu_tulos_2023.xlsx

Tiedosto AVOTT-seuranta_2022_kysymykset_pisteet.xlsx sisältää seurannassa käytetyt kysymykset, niiden pisteyksen sekä käytetyt laskentakaavat.

Tiedosto AVOTT-seuranta_2022_lopullinen_tulos.xlsx sisältää seurantaan osallistuneiden tutkimusorganisaatioiden 
1. vastausten perusteella saamat pisteet
2. pistesummat ja saavutetut avoimuuden asteet osa-alueittain: toimintakulttuuri, julkaiseminen, tutkimusaineistot, oppiminen
3. avoimuuden asteiden perusteella lasketun avoimuuden tason.

Tiedosto AVOTT-seuranta_2022_tarkistettu_tulos_2023.xlsx on tietosisällöltään vastaava kuin AVOTT-seuranta_2022_lopullinen_tulos.xlsx, mutta sisältää tarkistetut vastaukset niiden kysymysten ja organisaatioiden osalta, joissa muutoksille ilmeni tarvetta kesällä 2023 tutkimusorganisaatioille lähetettyjen täydennyspyyntöjen perusteella.

Tietueen ajanjaksossa on seurannan kyselyn vastausaika. Julkaisuista käytettiin vuoden 2021 ja avoimista oppimateriaaleista kumulatiivista tietoa 30.6.2022 asti.

Seurannan toteutus perustuu Avoimen tieteen ja tutkimuksen seurantamalliin, joka on linkitetty tähän tietueeseen.

Tieteellisten seurain valtuuskunta sai tukea julkaisujen ja avointen oppimateriaalien datan haussa ja käsittelyssä CSC-Tieteen tietotekniikan keskus Oy:ltä. Lisäksi seurannan tulokset on julkaistu CSC:n ylläpitämässä Tiedejatutkimus.fi-portaalissa.
DOI: 10.5281/zenodo.10363060
title: Moving vessel profiler (MVP) transect from PolarFront 2023-08 cruise

description: The Moving Vessel Profiler (MVP) was deployed to collect data with high-spatial resolution along our transect crossing the front. Instruments contained in the profiling unit ("fish") of the winch were a CTD (AML µCTD), a fluorescence sensor (WETLABS) and a laser optical plankton counter (LOPC). 

Together the instruments yield data on the physical environment, phytoplankton, zooplankton and other particle distributions

During the entire deployment of the MVP, weather conditions were optimal with very low wind speeds and calm sea. Apart from one stop at the surface due to a fishing vessel in our transect (20 min stop), no sampling issues whatsoever were experienced. A few breaks along the transect were taken to collect water samples and to set out the Sailbuoy and Seaglider.

Transect start: 75N, 29 30' E, 17 August at 02:13 UTC

Transect end: 78N, 29 30' E, 18 August at 11:09 UTC

In total the transect was 333 km long and 382 profiles to 25 m above bottom were collected, resulting in a spatial resolution of, on average, 1 profile every 870 m.
DOI: 10.5281/zenodo.10363061
title: Moving vessel profiler (MVP) transect from PolarFront 2023-08 cruise

description: The Moving Vessel Profiler (MVP) was deployed to collect data with high-spatial resolution along our transect crossing the front. Instruments contained in the profiling unit ("fish") of the winch were a CTD (AML µCTD), a fluorescence sensor (WETLABS) and a laser optical plankton counter (LOPC). 

Together the instruments yield data on the physical environment, phytoplankton, zooplankton and other particle distributions

During the entire deployment of the MVP, weather conditions were optimal with very low wind speeds and calm sea. Apart from one stop at the surface due to a fishing vessel in our transect (20 min stop), no sampling issues whatsoever were experienced. A few breaks along the transect were taken to collect water samples and to set out the Sailbuoy and Seaglider.

Transect start: 75N, 29 30' E, 17 August at 02:13 UTC

Transect end: 78N, 29 30' E, 18 August at 11:09 UTC

In total the transect was 333 km long and 382 profiles to 25 m above bottom were collected, resulting in a spatial resolution of, on average, 1 profile every 870 m.
DOI: 10.5281/zenodo.10375879
title: Bathymetry of Bossons Lake of 28 June 2022

description: Bathymetry of the Bossons lake done the 28 June 2022.
DOI: 10.5281/zenodo.10375880
title: Bathymetry of Bossons Lake of 28 June 2022

description: Bathymetry of the Bossons lake done the 28 June 2022.
DOI: 10.5281/zenodo.10375456
title: Iron particles oxidation measurements - trajectories, cracking and temperature

description: Data collected in Miniatura 6 project no 2022/06/X/ST8/01753 "Experimental investigation of combustion kinetics and cracking intensity of iron particles in high heating rate conditions" financed by National Science Centre, Poland
DOI: 10.5281/zenodo.10375457
title: Iron particles oxidation measurements - trajectories, cracking and temperature

description: Data collected in Miniatura 6 project no 2022/06/X/ST8/01753 "Experimental investigation of combustion kinetics and cracking intensity of iron particles in high heating rate conditions" financed by National Science Centre, Poland
DOI: 10.5281/zenodo.10375959
title: Bathymetry of Bossons Lake of 23 September 2022

description: Bathymetry of the Bossons lake done the 23 September 2022
DOI: 10.5281/zenodo.10375960
title: Bathymetry of Bossons Lake of 23 September 2022

description: Bathymetry of the Bossons lake done the 23 September 2022
DOI: 10.6084/m9.figshare.24805812
title: Supplementary Material for: Clinical characteristics of pathogenic ACAN variants and 3-year response to growth hormone treatment: real-world data

description: Introduction 
Heterozygous variants in the ACAN gene may underlie disproportionate short stature with characteristically accelerated bone age (BA) maturation and/or early-onset osteoarthritis (OA).
Methods
To describe phenotype, analyze genotype-phenotype correlations and assess the response of growth hormone (GH) treatment in children with a heterozygous ACAN variant. Thirty-six subjects (23 boys, 13 girls) with ACAN-deficiency and treated for ≥1 year with GH were identified in the Dutch National Registry of GH treatment in children.
Results
We identified 25 different heterozygous ACAN variants in 36 subjects. Median (IQR) height SDS at start of GH was -2.6 SDS (-3.2 to -2.2). Characteristic features such as disproportion, advanced BA, early-onset OA and dysmorphic features like midface hypoplasia and brachydactyly were present in the majority of children, but in ~20% no specific features were reported. Subjects with a truncating ACAN variant had a shorter height SDS compared to subjects with a non-truncating variant (-2.8 SDS and -2.1 SDS respectively, P=0.002). After 3 years of GH, height gain SDS in prepubertal children was 1.0 SDS (0.9 to 1.4). In pubertal children, height SDS remained relatively stable. 
Conclusion
The phenotype of subjects with pathogenic heterozygous ACAN variants is highly variable and genetic testing for ACAN-deficiency should be considered in any child with significant short stature, even in the absence of disproportion, specific dysmorphic features or bone-age advancement. Furthermore, children with ACAN-deficiency may benefit from GH with a modest but significant response, which is sustained during 3 years of treatment.
DOI: 10.6084/m9.figshare.24805812.v1
title: Supplementary Material for: Clinical characteristics of pathogenic ACAN variants and 3-year response to growth hormone treatment: real-world data

description: Introduction 
Heterozygous variants in the ACAN gene may underlie disproportionate short stature with characteristically accelerated bone age (BA) maturation and/or early-onset osteoarthritis (OA).
Methods
To describe phenotype, analyze genotype-phenotype correlations and assess the response of growth hormone (GH) treatment in children with a heterozygous ACAN variant. Thirty-six subjects (23 boys, 13 girls) with ACAN-deficiency and treated for ≥1 year with GH were identified in the Dutch National Registry of GH treatment in children.
Results
We identified 25 different heterozygous ACAN variants in 36 subjects. Median (IQR) height SDS at start of GH was -2.6 SDS (-3.2 to -2.2). Characteristic features such as disproportion, advanced BA, early-onset OA and dysmorphic features like midface hypoplasia and brachydactyly were present in the majority of children, but in ~20% no specific features were reported. Subjects with a truncating ACAN variant had a shorter height SDS compared to subjects with a non-truncating variant (-2.8 SDS and -2.1 SDS respectively, P=0.002). After 3 years of GH, height gain SDS in prepubertal children was 1.0 SDS (0.9 to 1.4). In pubertal children, height SDS remained relatively stable. 
Conclusion
The phenotype of subjects with pathogenic heterozygous ACAN variants is highly variable and genetic testing for ACAN-deficiency should be considered in any child with significant short stature, even in the absence of disproportion, specific dysmorphic features or bone-age advancement. Furthermore, children with ACAN-deficiency may benefit from GH with a modest but significant response, which is sustained during 3 years of treatment.
DOI: 10.6084/m9.figshare.24759996
title: Datasets - Geophysics for the Environment in Indonesia

description: This datasets is related to a paper with the same title "<b>Geophysics for the Environment in Indonesia</b>" that was submitted to F1000R Journal.Files:Scopus-Geophys-Indo-3.csv: bibliometric dataset from Scopus database with the keywords: "geophysics" AND "Indonesia".Scopus-Geophys-Indo-Enviro.csv: bibliometric dataset from Scopus database with the keywords: "geophysics" AND "Indonesia" AND "environment".scopus-gephys-indo.png: visualization for dataset no 1 with Vosviewer.scopus-gephys-indo-enviro.png: visualization for dataset no 2 with Vosviewer.<b>Abstract</b>This paper explores the hidden potential of geophysics for the environment, focusing on Indonesia. Geophysics plays a crucial role in understanding the Earth's physical characteristics and addressing environmental challenges. It is particularly relevant in water-related environmental problems, such as groundwater contamination and infiltration monitoring. Geophysics is also used to detect metals in fertile soils and plants, providing insights into agricultural practices and potential health risks. However, applying geophysics in urban areas poses challenges due to physical obstructions, cultural noise, limited workspace, permits, and safety concerns.<br><br>This article emphasizes the integration of geophysics with environmental studies, the need for further research on water-related environmental problems and metal detection, and the development of techniques tailored for urban environments. It suggests focusing on understanding the specific environmental challenges in Indonesia and leveraging advancements in technology for more accurate and efficient geophysical investigations.<br><br>In the Indonesian context, geophysics has diverse applications, including energy exploration, seismology, and oceanography. However, it has not been properly utilized in the field of environmental studies, particularly in urban areas.
DOI: 10.6084/m9.figshare.24759996.v1
title: Datasets - Geophysics for the Environment in Indonesia

description: This datasets is related to a paper with the same title "<b>Geophysics for the Environment in Indonesia</b>" that was submitted to F1000R Journal.Files:Scopus-Geophys-Indo-3.csv: bibliometric dataset from Scopus database with the keywords: "geophysics" AND "Indonesia".Scopus-Geophys-Indo-Enviro.csv: bibliometric dataset from Scopus database with the keywords: "geophysics" AND "Indonesia" AND "environment".scopus-gephys-indo.png: visualization for dataset no 1 with Vosviewer.scopus-gephys-indo-enviro.png: visualization for dataset no 2 with Vosviewer.<b>Abstract</b>This paper explores the hidden potential of geophysics for the environment, focusing on Indonesia. Geophysics plays a crucial role in understanding the Earth's physical characteristics and addressing environmental challenges. It is particularly relevant in water-related environmental problems, such as groundwater contamination and infiltration monitoring. Geophysics is also used to detect metals in fertile soils and plants, providing insights into agricultural practices and potential health risks. However, applying geophysics in urban areas poses challenges due to physical obstructions, cultural noise, limited workspace, permits, and safety concerns.<br><br>This article emphasizes the integration of geophysics with environmental studies, the need for further research on water-related environmental problems and metal detection, and the development of techniques tailored for urban environments. It suggests focusing on understanding the specific environmental challenges in Indonesia and leveraging advancements in technology for more accurate and efficient geophysical investigations.<br><br>In the Indonesian context, geophysics has diverse applications, including energy exploration, seismology, and oceanography. However, it has not been properly utilized in the field of environmental studies, particularly in urban areas.
DOI: 10.4121/6c34cc01-bbab-4f7c-b2e8-6fab5f07020d.v1
title: Source data of the publication: Two-qubit logic between distant spins in silicon

description: This repository contains the raw paper data and the scripts used to process it. For interpretation, see the paper main text and supplementary material first
DOI: 10.5281/zenodo.10376095
title: BARITE AS A PROXY OF PRODUCTIVITY: A STUDY IN THE SOUTHWEST ATLANTIC OCEAN

description: Database for the manuscript entitled

barite as a proxy of productivity: a study in the Southwest Atlantic Ocean
DOI: 10.5281/zenodo.10376058
title: seqkitPacbio50000.fasta.gz
title: From Sanger TOL treeval tiny test data

description: Data for testing TreeValGal https://github.com/fubar2/treeval_gal/longread_coverage#readme
description: Small sample of pacbio data for a worm. Too big for github repository.
DOI: 10.5281/zenodo.10376059
title: seqkitPacbio50000.fasta.gz
title: From Sanger TOL treeval tiny test data

description: Data for testing TreeValGal https://github.com/fubar2/treeval_gal/longread_coverage#readme
description: Small sample of pacbio data for a worm. Too big for github repository.
DOI: 10.5281/zenodo.10363773
title: Moving vessel profiler (MVP) transects from PolarFront 2022-05 cruise

description: MVP transects 2022-05

The Moving Vessel Profiler (MVP) was deployed to collect data with high-spatial resolution along transects aiming to cross the front. Instruments contained in the profiling unit ("fish") of the winch were a CTD (AML µCTD), a fluorescence sensor (WETLABS) and a laser optical plankton counter (LOPC). 

Together the instruments yield data on the physical environment, phytoplankton, zooplankton and other particle distributions.

Weather conditions during the cruise allowed sampling along two transects (S1 and parts of S2). However, S1 did not cross the polar front due to too thick ice cover in the North. The south (waves to high) and north (ice) of transect S2 were sampled by a different platform, data elsewhere, together resulting in a complete transect crossing the front.

Coverage

Transect S1 start: 75 N, 29 30' E, 20 May at 06:57 UTCTransect S1 end: 75 55' N, 29 54' E, 20 May at 16:16 UTC

Transect S2 start: 75 24' N, 29 E, 23 May at 16:03 UTCTransect S2 end: 76 43' N, 29 30' E, 24 May at 03:43 UTC

S1: 2022-05-20T06:57Z/2022-05-20T06:57ZS2: 2022-05-23T16:16Z/2022-05-24T03:43Z
DOI: 10.5281/zenodo.10363774
title: Moving vessel profiler (MVP) transects from PolarFront 2022-05 cruise

description: MVP transects 2022-05

The Moving Vessel Profiler (MVP) was deployed to collect data with high-spatial resolution along transects aiming to cross the front. Instruments contained in the profiling unit ("fish") of the winch were a CTD (AML µCTD), a fluorescence sensor (WETLABS) and a laser optical plankton counter (LOPC). 

Together the instruments yield data on the physical environment, phytoplankton, zooplankton and other particle distributions.

Weather conditions during the cruise allowed sampling along two transects (S1 and parts of S2). However, S1 did not cross the polar front due to too thick ice cover in the North. The south (waves to high) and north (ice) of transect S2 were sampled by a different platform, data elsewhere, together resulting in a complete transect crossing the front.

Coverage

Transect S1 start: 75 N, 29 30' E, 20 May at 06:57 UTCTransect S1 end: 75 55' N, 29 54' E, 20 May at 16:16 UTC

Transect S2 start: 75 24' N, 29 E, 23 May at 16:03 UTCTransect S2 end: 76 43' N, 29 30' E, 24 May at 03:43 UTC

S1: 2022-05-20T06:57Z/2022-05-20T06:57ZS2: 2022-05-23T16:16Z/2022-05-24T03:43Z
DOI: 10.22008/fk2/2rvr5c/taugbw
title: SICEv3.0_Greenland_500m_2022_06_median.nc

description: EDC SICE output: SICEv3.0_Greenland_500m_2022_06_median.nc, date: _06_median
DOI: 10.22008/fk2/2rvr5c/xgvoiu
title: SICEv3.0_Greenland_500m_2020_06_median.nc

description: EDC SICE output: SICEv3.0_Greenland_500m_2020_06_median.nc, date: _06_median
DOI: 10.22008/fk2/2rvr5c/ccvrna
title: SICEv3.0_Greenland_500m_2017_05_median.nc

description: EDC SICE output: SICEv3.0_Greenland_500m_2017_05_median.nc, date: _05_median
DOI: 10.22008/fk2/2rvr5c/u7w03u
title: SICEv3.0_Greenland_500m_2019_05_median.nc

description: EDC SICE output: SICEv3.0_Greenland_500m_2019_05_median.nc, date: _05_median
DOI: 10.22008/fk2/2rvr5c/fxvryr
title: SICEv3.0_Greenland_500m_2021_05_median.nc

description: EDC SICE output: SICEv3.0_Greenland_500m_2021_05_median.nc, date: _05_median
DOI: 10.22008/fk2/2rvr5c/u1lylh
title: SICEv3.0_Greenland_500m_2019_07_median.nc

description: EDC SICE output: SICEv3.0_Greenland_500m_2019_07_median.nc, date: _07_median
DOI: 10.22008/fk2/2rvr5c/e9zsyl
title: SICEv3.0_Greenland_500m_2019_06_median.nc

description: EDC SICE output: SICEv3.0_Greenland_500m_2019_06_median.nc, date: _06_median
DOI: 10.22008/fk2/2rvr5c/lhaa3t
title: SICEv3.0_Greenland_500m_2018_07_median.nc

description: EDC SICE output: SICEv3.0_Greenland_500m_2018_07_median.nc, date: _07_median
DOI: 10.22008/fk2/2rvr5c/bj9kxi
title: SICEv3.0_Greenland_500m_2020_07_median.nc

description: EDC SICE output: SICEv3.0_Greenland_500m_2020_07_median.nc, date: _07_median
DOI: 10.22008/fk2/2rvr5c/ev90sl
title: SICEv3.0_Greenland_500m_2023_07_median.nc

description: EDC SICE output: SICEv3.0_Greenland_500m_2023_07_median.nc, date: _07_median
DOI: 10.22008/fk2/2rvr5c/y8xpul
title: SICEv3.0_Greenland_500m_2018_08_median.nc

description: EDC SICE output: SICEv3.0_Greenland_500m_2018_08_median.nc, date: _08_median
DOI: 10.22008/fk2/2rvr5c/np3rqx
title: SICEv3.0_Greenland_500m_2019_08_median.nc

description: EDC SICE output: SICEv3.0_Greenland_500m_2019_08_median.nc, date: _08_median
DOI: 10.22008/fk2/2rvr5c/vsr7hm
title: SICEv3.0_Greenland_500m_2023_08_median.nc

description: EDC SICE output: SICEv3.0_Greenland_500m_2023_08_median.nc, date: _08_median
DOI: 10.22008/fk2/2rvr5c/gsatii
title: SICEv3.0_Greenland_500m_2021_08_median.nc

description: EDC SICE output: SICEv3.0_Greenland_500m_2021_08_median.nc, date: _08_median
DOI: 10.22008/fk2/2rvr5c/wwqhcu
title: SICEv3.0_Greenland_500m_2021_06_median.nc

description: EDC SICE output: SICEv3.0_Greenland_500m_2021_06_median.nc, date: _06_median
DOI: 10.22008/fk2/2rvr5c/epqyad
title: SICEv3.0_Greenland_500m_2018_05_median.nc

description: EDC SICE output: SICEv3.0_Greenland_500m_2018_05_median.nc, date: _05_median
DOI: 10.22008/fk2/2rvr5c/n660qt
title: SICEv3.0_Greenland_500m_2021_07_median.nc

description: EDC SICE output: SICEv3.0_Greenland_500m_2021_07_median.nc, date: _07_median
DOI: 10.22008/fk2/2rvr5c/vybfnm
title: SICEv3.0_Greenland_500m_2023_06_median.nc

description: EDC SICE output: SICEv3.0_Greenland_500m_2023_06_median.nc, date: _06_median
DOI: 10.22008/fk2/2rvr5c/8dlsyk
title: SICEv3.0_Greenland_500m_2020_08_median.nc

description: EDC SICE output: SICEv3.0_Greenland_500m_2020_08_median.nc, date: _08_median
DOI: 10.22008/fk2/2rvr5c/nbzbzt
title: SICEv3.0_Greenland_500m_2022_07_median.nc

description: EDC SICE output: SICEv3.0_Greenland_500m_2022_07_median.nc, date: _07_median
DOI: 10.22008/fk2/2rvr5c/h7b5ok
title: SICEv3.0_Greenland_500m_2022_05_median.nc

description: EDC SICE output: SICEv3.0_Greenland_500m_2022_05_median.nc, date: _05_median
DOI: 10.22008/fk2/2rvr5c/z35of2
title: SICEv3.0_Greenland_500m_2020_05_median.nc

description: EDC SICE output: SICEv3.0_Greenland_500m_2020_05_median.nc, date: _05_median
DOI: 10.22008/fk2/2rvr5c/aj2knx
title: SICEv3.0_Greenland_500m_2023_05_median.nc

description: EDC SICE output: SICEv3.0_Greenland_500m_2023_05_median.nc, date: _05_median
DOI: 10.22008/fk2/2rvr5c/tbso1c
title: SICEv3.0_Greenland_500m_2022_08_median.nc

description: EDC SICE output: SICEv3.0_Greenland_500m_2022_08_median.nc, date: _08_median
DOI: 10.22008/fk2/2rvr5c/ofaxeq
title: SICEv3.0_Greenland_500m_2018_06_median.nc

description: EDC SICE output: SICEv3.0_Greenland_500m_2018_06_median.nc, date: _06_median
DOI: 10.22008/fk2/2rvr5c/lcsd9j
title: SICEv3.0_Greenland_500m_2017_06_median.nc

description: EDC SICE output: SICEv3.0_Greenland_500m_2017_06_median.nc, date: _06_median
DOI: 10.22008/fk2/2rvr5c/mdpqv8
title: SICEv3.0_Greenland_500m_2017_07_median.nc

description: EDC SICE output: SICEv3.0_Greenland_500m_2017_07_median.nc, date: _07_median
DOI: 10.22008/fk2/2rvr5c/ws5wf5
title: SICEv3.0_Greenland_500m_2017_09_median.nc

description: EDC SICE output: SICEv3.0_Greenland_500m_2017_09_median.nc, date: _09_median
DOI: 10.22008/fk2/2rvr5c/jwvlq0
title: SICEv3.0_Greenland_500m_2021_09_median.nc

description: EDC SICE output: SICEv3.0_Greenland_500m_2021_09_median.nc, date: _09_median
DOI: 10.22008/fk2/2rvr5c/lm9v2j
title: SICEv3.0_Greenland_500m_2023_09_median.nc

description: EDC SICE output: SICEv3.0_Greenland_500m_2023_09_median.nc, date: _09_median
DOI: 10.22008/fk2/2rvr5c/nfoelz
title: SICEv3.0_Greenland_500m_2018_09_median.nc

description: EDC SICE output: SICEv3.0_Greenland_500m_2018_09_median.nc, date: _09_median
DOI: 10.22008/fk2/2rvr5c/6uy6a3
title: SICEv3.0_Greenland_500m_2020_09_median.nc

description: EDC SICE output: SICEv3.0_Greenland_500m_2020_09_median.nc, date: _09_median
DOI: 10.22008/fk2/2rvr5c/wxxp8i
title: SICEv3.0_Greenland_500m_2022_09_median.nc

description: EDC SICE output: SICEv3.0_Greenland_500m_2022_09_median.nc, date: _09_median
DOI: 10.22008/fk2/2rvr5c/wztmed
title: SICEv3.0_Greenland_500m_2019_09_median.nc

description: EDC SICE output: SICEv3.0_Greenland_500m_2019_09_median.nc, date: _09_median
DOI: 10.22008/fk2/2rvr5c
title: Monthly Median, SICEv3.0 Greenland snow and ice broadband albedo and surface optical properties from Sentinel-3’s OLCI at 500 m resolution, 2017-2023

description: Monthly Median of SICEv3.0 Greenland snow and ice broadband albedo and surface optical properties from Sentinel-3’s OLCI at 500 m resolution, 2017-2023.
DOI: 10.5281/zenodo.10376115
title: Bathymetry of Bossons Lake of 5 July 2021

description: Bathymetry of Bossons Lake of 5 July 2021 made from a boat. Row data in Bossons5juillet2021.txt and MNT of the bed topography in the two other files.
DOI: 10.5281/zenodo.10376116
title: Bathymetry of Bossons Lake of 5 July 2021

description: Bathymetry of Bossons Lake of 5 July 2021 made from a boat. Row data in Bossons5juillet2021.txt and MNT of the bed topography in the two other files.