Skip to main content
Powered by ShareScore

Find research datasets worth reusing

Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.

76

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

76 results for “Barents Sea”

Learn how ShareScore rates datasets ↗
zenodo52/100

Raw data mzXML and MATLAB code for Variation in chemical composition of dissolved organic matter during the winter to spring transition in the northern Barents Sea

<p>MATLAB code and raw data mzXML for Variation in chemical composition of dissolved organic matter during the winter to spring transition in the northern Barents Sea.</p> <p>Seawater samples were collected during three distinct periods: early winter (December 2019), late winter (March 2021), and spring (May 2021). The sampling transect extended from the northern Barents Sea into the Nansen Basin (76&deg;N &ndash; 83&deg;N) as part of <em>The Nansen Legacy</em> project (Research Council of Norway, RCN #276730). The molecular composition of dissolved organic matter (DOM) was analyzed using an Orbitrap mass spectrometer.</p>

opencc-by-4.0Nov 2024View details →
zenodo44/100

Ship logs from ARCTOS Barents Sea Polar Front 2021-05 cruise

<p>PolarFront 2021-05 ship logs. Original (ISO 8859-1 encoded) text files from the ship logger on Helmer Hanssen.</p>

opencc-zeroMay 2021View details →
zenodo44/100

SPICES – Sea ice type maps from Fram Strait, Barents and Kara Sea

<p>Sea&nbsp;ice&nbsp;type&nbsp;classification&nbsp;of&nbsp;Sentinel-1&nbsp;SAR&nbsp;dual&nbsp;polarization&nbsp;EW&nbsp;images.&nbsp;</p> <p>Prior&nbsp;to&nbsp;classification,&nbsp;Sentinel-1&nbsp;SAR&nbsp;images&nbsp;have&nbsp;been&nbsp;pre-processed&nbsp;to&nbsp;remove&nbsp;noise&nbsp;[1].&nbsp;The&nbsp;procedure&nbsp;of&nbsp;classification&nbsp;is&nbsp;comprised&nbsp;of&nbsp;the&nbsp;following&nbsp;steps:&nbsp;1.&nbsp;Haralick&nbsp;texture&nbsp;features&nbsp;are&nbsp;computed,&nbsp;2.&nbsp;Principal&nbsp;Component&nbsp;Analysis&nbsp;(PCA)&nbsp;is&nbsp;applied,&nbsp;3.&nbsp;K-means&nbsp;clustering&nbsp;is&nbsp;used&nbsp;to&nbsp;group&nbsp;the&nbsp;data&nbsp;into&nbsp;15&nbsp;clusters&nbsp;using&nbsp;factor&nbsp;scores&nbsp;of&nbsp;the&nbsp;PCA&nbsp;as&nbsp;input,&nbsp;4.&nbsp;The&nbsp;15&nbsp;clusters&nbsp;are&nbsp;analysed&nbsp;by&nbsp;an&nbsp;ice&nbsp;expert&nbsp;and&nbsp;classified&nbsp;as&nbsp;open&nbsp;water&nbsp;and&nbsp;different&nbsp;types&nbsp;of&nbsp;sea&nbsp;ice.</p> <p>&nbsp;</p> <p>[1]&nbsp;J.-W.&nbsp;Park,&nbsp;A.&nbsp;A.&nbsp;Korosov,&nbsp;M.&nbsp;Babiker,&nbsp;S.&nbsp;Sandven,&nbsp;J.-S.&nbsp;Won,&nbsp;Efficient&nbsp;Thermal&nbsp;Noise&nbsp;Removal&nbsp;for&nbsp;Sentinel-1&nbsp;TOPSAR&nbsp;Cross-Polarization&nbsp;Channel,&nbsp;IEEE&nbsp;Transactions&nbsp;on&nbsp;Geoscience&nbsp;and&nbsp;Remote&nbsp;Sensing,&nbsp;2018;&nbsp;56,&nbsp;3,&nbsp;DOI:10.1109/TGRS.2017.2765248.</p>

opencc-by-sa-4.0Jul 2018View details →
zenodo44/100

Water Body Checklists 2019: Barents Sea Species List

Species checklists created using effechecka and modified polygons from IHO. The polygons were reduced in resolution.<p></p>List of species collected from the Barents Sea using effechecka and a modified polygon from the International Hydrographic Association. A filter was applied (based on data from WoRMS) to remove all non-marine taxa.

opencc-by-4.0Aug 2024View details →
zenodo44/100

Water Body Checklists: Barents Sea Species List

Species checklists created using effechecka and modified polygons from IHO. The polygons were reduced in resolution.<p></p>List of species collected from the Barents Sea using effechecka and a modified polygon from the International Hydrographic Association. A filter was applied (based on data from WoRMS) to remove all non-marine taxa.

opencc-zeroAug 2024View details →
zenodo40/100

Fig. 6 in The first Arctic conspicuously coloured Pleusymtes (Crustacea: Amphipoda: Pleustidae) associated with sea anemones in the Barents Sea

Fig. 6. Photo in situ of the sea anemone Urticina eques (Gosse, 1858) with associated amphipods Pleusymtes actiniae sp. nov. from Dolgaya Bay, Barents Sea.

opencc-by-4.0May 2022View details →
zenodo40/100

Fig. 5 in The first Arctic conspicuously coloured Pleusymtes (Crustacea: Amphipoda: Pleustidae) associated with sea anemones in the Barents Sea

Fig. 5. Pleusymtes actiniae sp. nov. a–d, f–m. Paratype, ♀ (ZMMU Mb-1224). e. Paratype, ♂ (ZMMU Mb-1223). a. Epimeral plate I. b. Epimeral plate II. c. Epimeral plate III. d–e. Telson. f. Pleopod II. g. Retinacula of pleopod I. h–i. Uropod I. j. Same, distal part of outer ramus. k. Uropod II. l. Uropod III. m. Distodorsal angular spine of peduncle of uropod III.

opencc-by-4.0May 2022View details →
zenodo40/100

Fig. 1 in The first Arctic conspicuously coloured Pleusymtes (Crustacea: Amphipoda: Pleustidae) associated with sea anemones in the Barents Sea

Fig. 1. General view (habitus) of Pleusymtes actiniae sp. nov., holotype, ♀, from Dolgay Bay, Barents Sea (ZMMU Mb-1222).

opencc-by-4.0May 2022View details →
zenodo40/100

Fig. 3 in The first Arctic conspicuously coloured Pleusymtes (Crustacea: Amphipoda: Pleustidae) associated with sea anemones in the Barents Sea

Fig. 3. Pleusymtes actiniae sp. nov., paratype, ♂ (ZMMU Mb-1223). a. Gnathopod I. b. Distoventral palmar margin of propodus (chela) of GnI. c. Gnathopod II. d. Distoventral palmar margin of propodus (chela) of GnII.

opencc-by-4.0May 2022View details →
zenodo40/100

Fig. 4 in The first Arctic conspicuously coloured Pleusymtes (Crustacea: Amphipoda: Pleustidae) associated with sea anemones in the Barents Sea

Fig. 4. Pleusymtes actiniae sp. nov., paratype, ♀ (ZMMU Mb-1224). a. Pereopod III. b. Dactylus of PIII. c. Pereopod IV. d. Pereopod V. e. Dactylus of PV. f. Pereopod VI. g. Pereopod VII. h. Dactylus of PVII.

opencc-by-4.0May 2022View details →
zenodo40/100

Fig. 2 in The first Arctic conspicuously coloured Pleusymtes (Crustacea: Amphipoda: Pleustidae) associated with sea anemones in the Barents Sea

Fig. 2. Pleusymtes actiniae sp. nov., paratype, ♀ (ZMMU Mb-1224). a. Antenna I. b. Antenna II. c. Labium (lower lip). d. Left mandible. e. Left lacinia mobilis. f. Maxilla I. g. Maxilla II. h. Maxilliped.

opencc-by-4.0May 2022View details →
zenodo40/100

А – типовые местонахоЖдениЯ: Зал. ЛаврентиЯ (красный маркер), б. ПровидениЯ (Зеленый маркер); B, B' – иЗобраЖениЯ раковины (B) и Зуба радулы (B') Bela violacea var. nodulosa. Вр=14.5 мм, ДЗ=0.25 мм, иЗ: Krause [1885, pl. 18, figs. 4, 12]; C, C' – синтип Bela violacea var. nodulosa (C) и увеличенный участок предпоследнего оборота (C'), ZMB 37860, Вр=12 мм (фотографиЯ – с раЗрешениЯ ZMB); D–I – иЗменчивость Curtitoma violacea: D – Pleurotoma violacea var. brevis. ZIN беЗ номера, ЗФИ, о-в Аполлонова, Американский Залив, 3–4 м. Вр=8.2 мм; E – Defrancia becki. ZIN беЗ номера, ЗФИ, о-в Кука, 3–4 м. Вр=9.1 мм; F – Bela violacea var. laevior. Вр=12 мм, иЗ: Sars [1878, pl. 17, fig. 3]; G – Bela bicarinata var. geminolineata. ZIN 21324/28, Баренцево море, Югорский Шар, 13 м. Вр=8.7 мм; H – Pleurotoma bicarinata. ZIN 41203/156, ЗФИ, о-в ГрЭм-БЭм, 12–15 м. Вр=8.4 мм; I, I' – Зубы радулы типичной (I) и беЗкилевой (I') форм. ДЗ=0.12 мм и 0.21 мм, соответственно, иЗ: [Sars, 1878, pl. 9, figs. 7, 8]; J – иЗобраЖение раковины Lora inequita. Вр=11 мм, иЗ: Dall [1919, pl. 16, fig. 9]; K – голотип Lora inequita, USNM 222238. Вр=11 мм (фотографиЯ – с раЗрешениЯ USNM); L, L' – Oenopota inequita sensu Bogdanov non Dall: раковины (L) и Зуб радулы (L'). Вр=12 мм и 11.6 мм, соответственно, ДЗ=0.15 мм, иЗ: Богданов [1990, рис. 175, 176, 422 (7)]. A – type localities: Lawrence Bay (red circle), Providence Bay (green circle); B, B' – images of the shell (B) and tooth of the radula (B') of Bela violacea var. nodulosa. H=14.5 mm, L=0.25 mm, after Krause [1885, pl. 18, figs. 4, 12]; C, C' – a syntype of Bela violacea var. nodulosa (C) and the enlarged section of the penultimate whorl (C'), ZMB 37860, H=12 mm (photo – courtesy of ZMB); D–I – variability of Curtitoma violacea: D – Pleurotoma violacea var. brevis. ZIN uncatalogued, Franz Josef Land, Apollonova Isl., American Gulf, 3–4 m. H=8.2 mm; E – Defrancia becki. ZIN uncatalogued, Franz Josef Land, Cook Isl., 3–4 m. H=9.1 mm; F – Bela violacea var. laevior. H=12 mm, after Sars [1878, pl. 17, fig. 3]; G – Bela bicarinata var. geminolineata. ZIN 21324/28, Barents Sea, Ugra Shar, 13 m. H=8.7 mm; H – Pleurotoma bicarinata. ZIN 41203/156, Franz Josef Land, Graham-Bam Isl., 12–15 m. H= 8.4 mm; I, I' – teeth of typical (I) and keelless (I') forms. L=0.12 mm and 0.21 mm, respectively; after Sars [1878, pl. 9, figs. 7,8]; J – image of Lora inequita. H=11 mm, after Dall [1919, pl.16, fig. 9]; K – the holotype of Lora inequita, USNM 222238. H=11 mm (photo – courtesy of USNM); L, L' – Oenopota inequita sensu Bogdanov non Dall: shells (L) and tooth (L'). H=12 mm and 11.6 mm, respectively, L=0.15 mm, after Bogdanov [1990, figs. 175, 176, 422 (7)]. in Curtitoma nodulosa (Krause, 1885) comb. nov. (Gastropoda: Mangeliidae), a rare species twice described from the northern part of Bering Sea

А – типовые местонахоЖдениЯ: Зал. ЛаврентиЯ (красный маркер), б. ПровидениЯ (Зеленый маркер); B, B' – иЗобраЖениЯ раковины (B) и Зуба радулы (B') Bela violacea var. nodulosa. Вр=14.5 мм, ДЗ=0.25 мм, иЗ: Krause [1885, pl. 18, figs. 4, 12]; C, C' – синтип Bela violacea var. nodulosa (C) и увеличенный участок предпоследнего оборота (C'), ZMB 37860, Вр=12 мм (фотографиЯ – с раЗрешениЯ ZMB); D–I – иЗменчивость Curtitoma violacea: D – Pleurotoma violacea var. brevis. ZIN беЗ номера, ЗФИ, о-в Аполлонова, Американский Залив, 3–4 м. Вр=8.2 мм; E – Defrancia becki. ZIN беЗ номера, ЗФИ, о-в Кука, 3–4 м. Вр=9.1 мм; F – Bela violacea var. laevior. Вр=12 мм, иЗ: Sars [1878, pl. 17, fig. 3]; G – Bela bicarinata var. geminolineata. ZIN 21324/28, Баренцево море, Югорский Шар, 13 м. Вр=8.7 мм; H – Pleurotoma bicarinata. ZIN 41203/156, ЗФИ, о-в ГрЭм-БЭм, 12–15 м. Вр=8.4 мм; I, I' – Зубы радулы типичной (I) и беЗкилевой (I') форм. ДЗ=0.12 мм и 0.21 мм, соответственно, иЗ: [Sars, 1878, pl. 9, figs. 7, 8]; J – иЗобраЖение раковины Lora inequita. Вр=11 мм, иЗ: Dall [1919, pl. 16, fig. 9]; K – голотип Lora inequita, USNM 222238. Вр=11 мм (фотографиЯ – с раЗрешениЯ USNM); L, L' – Oenopota inequita sensu Bogdanov non Dall: раковины (L) и Зуб радулы (L'). Вр=12 мм и 11.6 мм, соответственно, ДЗ=0.15 мм, иЗ: Богданов [1990, рис. 175, 176, 422 (7)]. A – type localities: Lawrence Bay (red circle), Providence Bay (green circle); B, B' – images of the shell (B) and tooth of the radula (B') of Bela violacea var. nodulosa. H=14.5 mm, L=0.25 mm, after Krause [1885, pl. 18, figs. 4, 12]; C, C' – a syntype of Bela violacea var. nodulosa (C) and the enlarged section of the penultimate whorl (C'), ZMB 37860, H=12 mm (photo – courtesy of ZMB); D–I – variability of Curtitoma violacea: D – Pleurotoma violacea var. brevis. ZIN uncatalogued, Franz Josef Land, Apollonova Isl., American Gulf, 3–4 m. H=8.2 mm; E – Defrancia becki. ZIN uncatalogued, Franz Josef Land, Cook Isl., 3–4 m. H=9.1 mm; F – Bela violacea var. laevior. H=12 mm, after Sars [1878, pl. 17, fig. 3]; G – Bela bicarinata var. geminolineata. ZIN 21324/28, Barents Sea, Ugra Shar, 13 m. H=8.7 mm; H – Pleurotoma bicarinata. ZIN 41203/156, Franz Josef Land, Graham-Bam Isl., 12–15 m. H= 8.4 mm; I, I' – teeth of typical (I) and keelless (I') forms. L=0.12 mm and 0.21 mm, respectively; after Sars [1878, pl. 9, figs. 7,8]; J – image of Lora inequita. H=11 mm, after Dall [1919, pl.16, fig. 9]; K – the holotype of Lora inequita, USNM 222238. H=11 mm (photo – courtesy of USNM); L, L' – Oenopota inequita sensu Bogdanov non Dall: shells (L) and tooth (L'). H=12 mm and 11.6 mm, respectively, L=0.15 mm, after Bogdanov [1990, figs. 175, 176, 422 (7)].

opencc-by-4.0Dec 2020View details →
zenodo40/100

Fig. 5 in New insight in the determination of thermodynamic equilibrium thickness using heat budget over Barents Sea

Fig. 5 — Retrieved Thermodynamic Equilibrium Thickness (TET) over Barents Sea during (a) November, (b) December, (c) January, (d) February, (e) March, and (f) April for the span of 2002 – 2020

opencc-by-4.0Oct 2022View details →
zenodo40/100

Fig. 2 in New insight in the determination of thermodynamic equilibrium thickness using heat budget over Barents Sea

Fig. 2 — Climatology of Sea Ice Area (SIA) and Oceanic Energy (OE) over Barents Sea for the span 2002 – 2020

opencc-by-4.0Oct 2022View details →
zenodo40/100

Fig. 4 in New insight in the determination of thermodynamic equilibrium thickness using heat budget over Barents Sea

Fig. 4 — Histogram representing percentage contribution of Barents Sea Ice Thickness (SIT) over Arctic Sea Ice Thickness (SIT) during (a) November, (b) December, (c) January, (d) February, (e) March, and (f) April for the span of 2002 – 2020

opencc-by-4.0Oct 2022View details →
zenodo40/100

Figure 5 in Satellite Altimetry of Sea Level and Ice Cover in the Barents Sea

Figure 5. Location of 34 descending tracks of satellites ERS-1 (phases C and G), ERS-2 and ENVISAT, which were used to analyze the position of the sea ice edge in the Barents Sea. The red line is the average climatic position of the sea ice edge. The green line shows the position of track N444, the purple line shows the track N360. Dashed line is a reference line used for calculation the distance to the ice edge along the tracks.

opencc-by-4.0Nov 2019View details →
zenodo40/100

Figure 6 in Satellite Altimetry of Sea Level and Ice Cover in the Barents Sea

Figure 6. Interannual variability of the position of the ice edge along track N118 according to altimetry measurements of the ERS − 1/2, ENVISAT and SARAL/AltiKA satellites in 1992-2018. Dashed line shows a linear trend for the variability of the distance to the sea ice edge in the Barents Sea.

opencc-by-4.0Nov 2019View details →
zenodo40/100

Figure 4 in Satellite Altimetry of Sea Level and Ice Cover in the Barents Sea

Figure 4. Interannual variability of the Barents Sea level anomalies according to satellite altimetry measurements of the ERS − 1/2, ENVISAT and SARAL/AltiKa for the period 1992–2018 for June, July, August and September. Dashed lines show linear trends.

opencc-by-4.0Nov 2019View details →
zenodo40/100

Figure 2 in Satellite Altimetry of Sea Level and Ice Cover in the Barents Sea

Figure 2. The position of the tracks of the ERS − 1/2, ENVISAT and SARAL/AltiKA (a) satellites with a repetition period of 35 days and the Sentinel – 3A / 3B satellites (b) with a repetition period of 27 days in the Barents Sea.

opencc-by-4.0Nov 2019View details →
zenodo40/100

Figure 3 in Satellite Altimetry of Sea Level and Ice Cover in the Barents Sea

Figure 3. Interannual variability of the Barents Sea level anomalies according to satellite altimetry measurements of the ERS − 1/2, ENVISAT and SARAL/AltiKa for the period 1992 –2018. Dashed line shows a linear trend.

opencc-by-4.0Nov 2019View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated datasets

Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record