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.

1,552

datasets available to search

ShareScore release 0.7.1

Reset

Dataset results

1,552 results for “moorings”

Learn how ShareScore rates datasets ↗
zenodo32/100

FIGURES 9–12 in Review of the genus Daplasa Moore (Lepidoptera, Erebidae, Lymantriinae) from China, with description of new species

FIGURES 9–12. Adults of D. nivisala sp. n. (9. male, upperside, holotype, SCAU; 10. male, underside, holotype, SCAU; 11. female, upperside, paratype, SCAU; 12. female, underside, paratype, SCAU). Scale bars =10 mm.

opennotspecifiedNov 2019View details →
zenodo32/100

Kongsfjorden 2022-2022 mooring diagram KROP mooring

<p><span>As part of the KROP - Kongsfjorden Rijpfjorden Observatory Programme, UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain a marine obervatory in the high-Arctic location Kongsfjorden, Svalbard, since 2002. The observatory consists of an array of CTDs, temperature loggers, ADCPs and a sediment trap, in addition to various other instruments or installations that change from year to year. This document contains the mooring diagram for the deployment year 2021-2022 (part 2: april-september 2022). The 2021-2022 deployment was interrupted by an unintended release of the mooring in January 2022, followed by a re-deployment in April 2022. CTD and ADCP data is published at the Arctic Data Centre (<a href="https://adc.met.no/)"><span>https://adc.met.no/)</span></a>. Some previous data is available from NIRD (<a href="https://archive.sigma2.no/"><span>https://archive.sigma2.no/</span></a>). All metadata is indexed by the SIOS data access portal (<a href="https://sios-svalbard.org/"><span>https://sios-svalbard.org/</span></a>).</span></p>

opencc-by-4.0Oct 2024View details →
zenodo32/100

Kongsfjorden 2022-2023 mooring diagram KROP mooring

<div> <p>As part of the KROP - Kongsfjorden Rijpfjorden Observatory Programme, UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain a marine obervatory in the high-Arctic location Kongsfjorden, Svalbard, since 2002. The observatory consists of an array of CTDs, temperature loggers, ADCPs and a sediment trap, in addition to various other instruments or installations that change from year to year. This document contains the mooring diagram for the deployment year 2022-2023. CTD and ADCP data is published at the Arctic Data Centre (<a href="https://adc.met.no/)">https://adc.met.no/)</a>. Some previous data is available from NIRD (<a href="https://archive.sigma2.no/">https://archive.sigma2.no/</a>). All metadata is indexed by the SIOS data access portal (<a href="https://sios-svalbard.org/">https://sios-svalbard.org/</a>).</p> <p>&nbsp;</p> </div> <h2>Files</h2>

opencc-by-4.0Oct 2024View details →
zenodo32/100

Rijpfjorden 2023-2024 mooring diagram KROP mooring

<p><span>As part of the KROP - Kongsfjorden Rijpfjorden Observatory Programme, UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain a marine observatory in the high-Arctic location Rijpfjorden, Svalbard, since 2006. The observatory consists of an array of CTDs, temperature loggers, ADCPs and a sediment trap, in addition to various other instruments or installations that change from year to year. This document contains the mooring diagram for the deployment year 2023-2024. CTD and ADCP data is published at the Arctic Data Centre (</span><a href="https://adc.met.no/)"><span>https://adc.met.no/)</span></a><span><span>. Some previous data is available from NIRD (</span></span><a href="https://archive.sigma2.no/"><span>https://archive.sigma2.no/</span></a><span><span>). All metadata is indexed by the SIOS data access portal (</span></span><a href="https://sios-svalbard.org/"><span>https://sios-svalbard.org/</span></a><span><span>).</span></span></p>

opencc-by-4.0Oct 2024View details →
zenodo32/100

Rijpfjorden 2020-2021 mooring diagram KROP mooring

<p>As part of the KROP - Kongsfjorden Rijpfjorden Observatory Programme, UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain a marine observatory in the high-Arctic location Rijpfjorden, Svalbard, since 2006. The observatory consists of an array of CTDs, temperature loggers, ADCPs and a sediment trap, in addition to various other instruments or installations that change from year to year. This document contains the mooring diagram for the deployment year 2020-2021. CTD and ADCP data is published at the Arctic Data Centre (<a href="https://adc.met.no/)">https://adc.met.no/)</a>. Some previous data is available from NIRD (<a href="https://archive.sigma2.no/">https://archive.sigma2.no/</a>). All metadata is indexed by the SIOS data access portal (<a href="https://sios-svalbard.org/">https://sios-svalbard.org/</a>).</p>

opencc-by-4.0Oct 2024View details →
zenodo32/100

Rijpfjorden 2022-2023 mooring diagram KROP mooring

<p>As part of the KROP - Kongsfjorden Rijpfjorden Observatory Programme, UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain a marine observatory in the high-Arctic location Rijpfjorden, Svalbard, since 2006. The observatory consists of an array of CTDs, temperature loggers, ADCPs and a sediment trap, in addition to various other instruments or installations that change from year to year. This document contains the mooring diagram for the deployment year 2022-2023. CTD and ADCP data is published at the Arctic Data Centre (<a href="https://adc.met.no/)">https://adc.met.no/)</a>. Some previous data is available from NIRD (<a href="https://archive.sigma2.no/">https://archive.sigma2.no/</a>). All metadata is indexed by the SIOS data access portal (<a href="https://sios-svalbard.org/">https://sios-svalbard.org/</a>).</p>

opencc-by-4.0Oct 2024View details →
zenodo32/100

Rijpfjorden 2007-2008 mooring diagram KROP mooring

<p>As part of the KROP - Kongsfjorden Rijpfjorden Observatory Programme, UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain a marine observatory in the high-Arctic location Rijpfjorden, Svalbard, since 2006. The observatory consists of an array of CTDs, temperature loggers, ADCPs and a sediment trap, in addition to various other instruments or installations that change from year to year. This document contains the mooring diagram for the deployment year 2007-2008. CTD and ADCP data is published at the Arctic Data Centre (<a href="https://adc.met.no/)">https://adc.met.no/)</a>. Some previous data is available from NIRD (<a href="https://archive.sigma2.no/">https://archive.sigma2.no/</a>). All metadata is indexed by the SIOS data access portal (<a href="https://sios-svalbard.org/">https://sios-svalbard.org/</a>).</p>

opencc-by-4.0Oct 2024View details →
zenodo32/100

Rijpfjorden 2009-2010 mooring diagram KROP mooring

<p>As part of the KROP - Kongsfjorden Rijpfjorden Observatory Programme, UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain a marine observatory in the high-Arctic location Rijpfjorden, Svalbard, since 2006. The observatory consists of an array of CTDs, temperature loggers, ADCPs and a sediment trap, in addition to various other instruments or installations that change from year to year. This document contains the mooring diagram for the deployment year 2009-2010. CTD and ADCP data is published at the Arctic Data Centre (<a href="https://adc.met.no/)">https://adc.met.no/)</a>. Some previous data is available from NIRD (<a href="https://archive.sigma2.no/">https://archive.sigma2.no/</a>). All metadata is indexed by the SIOS data access portal (<a href="https://sios-svalbard.org/">https://sios-svalbard.org/</a>).</p>

opencc-by-4.0Oct 2024View details →
zenodo32/100

Rijpfjorden 2006-2007 mooring diagram KROP mooring

<p>As part of the KROP - Kongsfjorden Rijpfjorden Observatory Programme, UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain a marine observatory in the high-Arctic location Rijpfjorden, Svalbard, since 2006. The observatory consists of an array of CTDs, temperature loggers, ADCPs and a sediment trap, in addition to various other instruments or installations that change from year to year. This document contains the mooring diagram for the deployment year 2006-2007. CTD and ADCP data is published at the Arctic Data Centre (<a href="https://adc.met.no/)">https://adc.met.no/)</a>. Some previous data is available from NIRD (<a href="https://archive.sigma2.no/">https://archive.sigma2.no/</a>). All metadata is indexed by the SIOS data access portal (<a href="https://sios-svalbard.org/">https://sios-svalbard.org/</a>).</p>

opencc-by-4.0Oct 2024View details →
zenodo32/100

Kongsfjorden 2004-2005 mooring diagram KROP mooring

<p>As part of the KROP - Kongsfjorden Rijpfjorden Observatory Programme, UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain a marine obervatory in the high-Arctic location Kongsfjorden, Svalbard, since 2002. The observatory consists of an array of CTDs, temperature loggers, ADCPs and a sediment trap, in addition to various other instruments or installations that change from year to year. This document contains the mooring diagram for the deployment year 2004-2005. CTD and ADCP data is published at the Arctic Data Centre (<a href="https://adc.met.no/)">https://adc.met.no/)</a>. Some previous data is available from NIRD (<a href="https://archive.sigma2.no/">https://archive.sigma2.no/</a>). All metadata is indexed by the SIOS data access portal (<a href="https://sios-svalbard.org/">https://sios-svalbard.org/</a>).</p>

opencc-by-4.0Oct 2024View details →
zenodo32/100

Kongsfjorden 2003-2003 (may-september) mooring diagram KROP mooring

<p>As part of the KROP - Kongsfjorden Rijpfjorden Observatory Programme, UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain a marine obervatory in the high-Arctic location Kongsfjorden, Svalbard, since 2002. The observatory consists of an array of CTDs, temperature loggers, ADCPs and a sediment trap, in addition to various other instruments or installations that change from year to year. This document contains the mooring diagram for the deployment year 2003. Deployment was split into several sections, this is the section from may to september 2003. CTD and ADCP data is published at the Arctic Data Centre (<a href="https://adc.met.no/)">https://adc.met.no/)</a>. Some previous data is available from NIRD (<a href="https://archive.sigma2.no/">https://archive.sigma2.no/</a>). All metadata is indexed by the SIOS data access portal (<a href="https://sios-svalbard.org/">https://sios-svalbard.org/</a>).&nbsp;</p>

opencc-by-4.0Oct 2024View details →
zenodo32/100

Kongsfjorden 2002-2002a (Apr-Jun) mooring diagram KROP mooring

<p>As part of the KROP - Kongsfjorden Rijpfjorden Observatory Programme, UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain a marine obervatory in the high-Arctic location Kongsfjorden, Svalbard, since 2002. The observatory consists of an array of CTDs, temperature loggers, ADCPs and a sediment trap, in addition to various other instruments or installations that change from year to year. This document contains the mooring diagram for the deployment year 2002-2002. The deployment was split into to periods in 2002, this is the first period (April-June). CTD and ADCP data is published at the Arctic Data Centre (<a href="https://adc.met.no/)">https://adc.met.no/)</a>. Some previous data is available from NIRD (<a href="https://archive.sigma2.no/">https://archive.sigma2.no/</a>). All metadata is indexed by the SIOS data access portal (<a href="https://sios-svalbard.org/">https://sios-svalbard.org/</a>).</p>

opencc-by-4.0Oct 2024View details →
zenodo32/100

AIMS - Dataset from moored gridded wave buoys in the Tyrrhenian Sea

<p>This dataset is part of the AIMS project (Artificial Intelligence to Monitor our Seas), which has the vision to develop and validate novel Artificial Intelligence (AI) algorithms to unlock the true potential of remote monitoring and enable a faster transition to a climate neutral society and economy: the AI algorithms will leverage the advantages of usual monitoring methodologies of the features of waves and offshore wind, and eventually overcome their intrinsic limitations. The value and resolution of sparse measurements of satellites and unevenly-distributed in-situ instruments will be increased, hence leading to a significant reduction of the cost and execution time of data collection, ultimately making knowledge wider and more accessible.</p> <p>This dataset in particular ir related to collection of a moored Directional Wave Spectra Drifter (DWSD) buoy network deployed offshore of Livorno as part of the AIMS project. The campaign aimed to create an experimental 3 x 3 buoy grid, positioned at 1.5 km intervals, to study wave dynamics in a confined area and evaluate the accuracy of numerical wave models. Each buoy, equipped with GPS and real-time data transmission via satellite, recorded wave and meteo-marine parameters at three-hour intervals over approximately five months. The data, though partially affected by buoy losses, provide a high-resolution view of wave behaviour and serve as a valuable resource for wave energy studies and forecasting models. This report includes detailed descriptions of the dataset and its structure, offering insights into data quality, operational challenges, and guidelines for future campaigns.</p> <p>&nbsp;</p>

opencc-by-4.0Nov 2024View details →
zenodo32/100

Kongsfjorden 2023-2024 mooring diagram KROP mooring

<p>As part of the KROP - Kongsfjorden Rijpfjorden Observatory Programme, UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain a marine obervatory in the high-Arctic location Kongsfjorden, Svalbard, since 2002. The observatory consists of an array of CTDs, temperature loggers, ADCPs and a sediment trap, in addition to various other instruments or installations that change from year to year. This document contains the mooring diagram for the deployment year 2023-2024. CTD and ADCP data is published at the Arctic Data Centre (<a href="https://adc.met.no/)">https://adc.met.no/)</a>. Some previous data is available from NIRD (<a href="https://archive.sigma2.no/">https://archive.sigma2.no/</a>). All metadata is indexed by the SIOS data access portal (<a href="https://sios-svalbard.org/">https://sios-svalbard.org/</a>).</p>

opencc-by-4.0Oct 2024View details →
zenodo32/100

Kongsfjorden 2002-2002b (Jul-Sep) mooring diagram KROP mooring

<div> <p>As part of the KROP - Kongsfjorden Rijpfjorden Observatory Programme, UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain a marine obervatory in the high-Arctic location Kongsfjorden, Svalbard, since 2002. The observatory consists of an array of CTDs, temperature loggers, ADCPs and a sediment trap, in addition to various other instruments or installations that change from year to year. This document contains the mooring diagram for the deployment year 2002-2002. The deployment was split into to periods in 2002, this is the second period (July-September). CTD and ADCP data is published at the Arctic Data Centre (<a href="https://adc.met.no/)">https://adc.met.no/)</a>. Some previous data is available from NIRD (<a href="https://archive.sigma2.no/">https://archive.sigma2.no/</a>). All metadata is indexed by the SIOS data access portal (<a href="https://sios-svalbard.org/">https://sios-svalbard.org/</a>).</p> <p>&nbsp;</p> </div> <h2>Files</h2>

opencc-by-4.0Oct 2024View details →
zenodo32/100

FIGURE 14 in Description and taxonomic analysis of a tuberculated turtle leech from the Outer Banks, North Carolina, USA, provisionally identified as Placobdella multilineata Moore, 1953 (Hirudinea: Glossiphoniidae)

FIGURE 14. First feeding in the Albemarle turtle leech. Shown are three pre-juvenile individuals collected soon after taking their first blood meal on a turtle host. Their teguments are still transparent and the body shape is cylindroid. A, 5.0 mm (PM-11a) on Chelydra serpentina. B, 8.3 mm (PM-26) on Chrysemys floridana. C, 7.8 mm (PM-24a) on Kinosternum odoratus. Specimen A was collected within hours of first feeding and already had diluted blood in its crop. The intermediate rows of tubercles on the a2 annulus were discernible but do not show up in this image. In specimen B the tip of its lengthy proboscis protrudes from the apical mouth. The darkened rectum indicates some digestion of blood had already occurred. This correlates with the faintly pigmented tegument of this specimen. In specimen C the crooked proboscis and compact salivary glands are visibly well developed at this stage. Scale bars: 0.5 mm.

opennotspecifiedJun 2021View details →
zenodo32/100

FIGURE 10 in Description and taxonomic analysis of a tuberculated turtle leech from the Outer Banks, North Carolina, USA, provisionally identified as Placobdella multilineata Moore, 1953 (Hirudinea: Glossiphoniidae)

FIGURE 10. Accessory 'eyes' as shown here are strongly expressed in about one-third of the Albemarle turtle leeches. Shown are close-ups of the head regions of two individuals. A, C, dorsal and ventral views, respectively, of specimen (PM-15a). B, dorsal view of extended specimen (PM-14b). Such heavily pigmented individuals typically display paramedial stripes on dorsum (pd) and on venter (vs), respectively. Scale bar: 1.0 mm.

opennotspecifiedJun 2021View details →
zenodo32/100

FIGURE 12 in Description and taxonomic analysis of a tuberculated turtle leech from the Outer Banks, North Carolina, USA, provisionally identified as Placobdella multilineata Moore, 1953 (Hirudinea: Glossiphoniidae)

FIGURE 12. This scheme summarises appearance of key tubercles during development of the Albemarle turtle leech. Depicted are dorsal views of a mid-body segment, comprised of three annuli a1, a2 and a3, respectively. A, pre-feeding embryo (5–7 mm). B, post-feeding juvenile (10–15 mm). C, heavily tuberculated adult (20–40 mm). The intermediate tubercles (ti) arise first on the a2 annulus, and remain most prominent throughout life. Soon thereafter, tubercles arise in medial position (tm) on the a2 annulus, and in paramedial position (tp) on the a3 annulus. The indicated tubercles constitute a flattened 'W' configuration on each segment (red dashes), a taxonomically useful character specific to this species at virtually all stages of its life cycle. Together these respective tubercles constitute five longitudinal rows on the dorsum (see also Fig. 15A, B).

opennotspecifiedJun 2021View details →
zenodo32/100

FIGURE 13 in Description and taxonomic analysis of a tuberculated turtle leech from the Outer Banks, North Carolina, USA, provisionally identified as Placobdella multilineata Moore, 1953 (Hirudinea: Glossiphoniidae)

FIGURE 13. Early development of the Albemarle turtle leech. Shown are unfed, unpigmented embryos of varying ages depicting progressive changes in foregut and crop caeca. A, 4.4 mm (PM-15e), ventral view. B, 4.8 mm (PM-6b), dorsal view. C, 6.0 mm (PM-15h), ventral view. In specimen A the cuticle (cu) separated from the anterior part of the body during preservation. The proboscis (p) is already relatively long and penetrates through the brain (b). The relative length of the proboscis is corroborated by the long cuticle lining the proboscis sheath (cup) emerging from the mouth. Scale bars: 0.5 mm.

opennotspecifiedJun 2021View details →
zenodo32/100

FIGURE 7 in Description and taxonomic analysis of a tuberculated turtle leech from the Outer Banks, North Carolina, USA, provisionally identified as Placobdella multilineata Moore, 1953 (Hirudinea: Glossiphoniidae)

FIGURE 7. Variation of the dorsal stripe and tubercles in the Albemarle turtle leech. A, interrupted dorsal stripe (PM-15a). B, continuous dorsal stripe (PM-15c). C, no discernible dorsal stripe (PM-12). The primary tubercles, ti and tm on the a2 annulus, and tp on the a3 annulus, together with their bilateral counterparts, constitute a flattened letter 'W'. This configuration is specific for the Albemarle turtle leech. Furthermore, in this species the intermediate tubercles (ti) are invariably the most prominent. Dorsal views. A, B, LED light; C, incandescent light. Scale bar: 10 mm.

opennotspecifiedJun 2021View 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