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.

561

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

561 results for “Ireland”

Learn how ShareScore rates datasets ↗
zenodo40/100

Fig. 4 in Conus hughmorrisoni, a new species of cone snail from New Ireland, Papua New Guinea (Gastropoda: Conidae)

Fig. 4. Conus hughmorrisoni sp. nov. A. Paratype 6, 20.8 mm. B. Paratype 7, 21.6 mm. C. Paratype 8, 19.0 mm. D. Paratype 9, 19.1 mm. E. Paratype 10, 19.6 mm. F. Paratype 11, 18.3 mm.

opencc-by-3.0Jul 2015View details →
dryad40/100

Genetic diversity of a marine foundation species, Laminaria hyperborea (Phaeophyceae Laminariales), along the coast of Ireland

<p><span><span><span><span><span><span><span><span><span><span><span>Worldwide, kelp populations are stressed by warming, increased storms and other man-driven disturbances<i>. </i>Marine population distributions are projected to retreat poleward with climate change if they cannot adapt to changing conditions, which would potentially lead to a regime shift in subtidal habitats. In Northern Europe, <i>Laminaria hyperborea</i>is a subtidal ecosystem engineer whose distribution has shifted over millennia, leaving predicted areas of high genetic diversity from the last glacial maximum (LGM) near its southern distribution limit in the Iberian Peninsula. In Ireland, <i>L. hyperborea </i>structures communities by supporting diverse faunal assemblages and producing large quantities of organic carbon throughout the year. We investigated the genetic diversity of eight populations ranging from the southern coast to the northwest of Ireland using nine microsatellite loci. Diversity was found to be highest in Lough Hyne, a Special Area of Conservation (SAC), near the predicted climate refugium. We found evidence of isolation by distance, with high connectivity between populations that were geographically close, likely driven by short range dispersal of <i>L. hyperborea</i>propagules. Genetic diversity (measured as expected heterozygosity and allelic richness) was highest at Lough Hyne, and decreased northwards, as predicted from past range shifts. Expected heterozygosity was highest at Lough Hyne (0.706) and decreased northward, with the lowest value at Bridges of Ross (0.283). Based on these patterns, further fine-scale investigation into population diversity, dispersal and potential resilience in Irish kelp forests are necessary as warming and non-native species are observed more and more frequently.</span></span></span></span></span></span></span></span></span></span></span></p>

opencc-zeroJan 2020View details →
zenodo40/100

AI results complementing the Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Ireland

<p>This dataset contains&nbsp;the results of the EU co-funded surveillance activities conducted in 2019, which consisted of:</p> <ul> <li>Serological surveys to monitor the circulation of AIV subtypes H5 and H7 in poultry (active surveillance). These surveys should preferentially target poultry species or production systems with increased risk for introduction of avian influenza (AI).</li> <li>Passive surveillance aiming at the virological detection of AI in wild birds found dead or moribund.</li> </ul>

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

Archaeobotanical results from Mitchelstown 1, Cork, ireland

<p>.csv file with results of archaeobotanical analysis from Mitchelstown 1, Cork, Ireland</p>

opencc-by-4.0Jan 2014View details →
zenodo40/100

Archaeobotanical results from Gortore , Cork, Ireland

<p>Dataset with results from identified charred plant remains from Gortore 1, Cork Ireland. These were from samples taken during the excavation of an&nbsp;Early Neolithic house, from a Bronze Age pit and from miscellaneous features which potentially date to a much later period, such as a ditch.See the plant remains report (http://dx.doi.org/10.6084/m9.figshare.928161) and the excavation report (http://eachtra.ie/new_site/wp-content/uploads/2010/07/E2119Gortore-N8RF.pdf) for more details.</p>

opencc-by-4.0Mar 2014View details →
zenodo40/100

Archaeobotanical results from Caherdrinny 3, Co. Cork, Ireland

<p>Identified charred plant remains from a multi-period site in north Cork, Ireland saved as a .csv file.</p>

opencc-by-4.0Mar 2014View details →
zenodo40/100

Archaeobotanical results from Ballynamona 2, Cork, Ireland

<p>.csv file containing the results of archaeobotanical analysis on samples from a Middle/Late Bronze Age site at Ballynamona, County Cork, Ireland. This dataset has been peer-reviewed and, as a result, has been subject to minor modifications. This version supersedes the version published at DOI:10.5281/zenodo.7701 (https://zenodo.org/record/7701#.UuUbjtJFDwc).</p> <p>&nbsp;</p>

opencc-by-4.0Mar 2014View details →
zenodo40/100

Plant remains (identifications) from Ballinglanna North 3, Co. Cork Ireland

<p>.csv file of identification and quantification of plant remains from Early Neolithic and Bronze Age site at Ballinglanna North 3 in north County Cork, Ireland.</p>

opencc-by-4.0Apr 2014View details →
zenodo40/100

Plant remains (identifications) from Gortore 1b, Cork, Ireland

<p>.csv file with a record of plant remains retrieved from samples taken during excavations at Gortore 1b, CO. Cork, Ireland. Samples were taken from contexts dating to the Mesolithic, Early Neolithic and early medieval period.</p>

opencc-by-4.0Apr 2014View details →
zenodo40/100

Archaeobotanical remains from Ballynamona 2, Cork, Ireland

<p>.csv file containing the results of archaeobotanical analysis on samples from a Late Bronze Age settlement site at Ballynamona 2, Cork, Ireland. As a result of minor modifications made after peer review, this dataset has been superseded by&nbsp;DOI 10.5281/zenodo.8563.</p>

opencc-by-4.0Jan 2014View details →
zenodo40/100

Ireland S1A Complex Mosaic (May 2015)

<p>This multi-temporal colour composite by Sentinel-1A features land coverage and use across Ireland. The mosaic was generated by stitching together 16 Synthetic Aperture Radar (SAR) images acquired within a 12 day period, during May 2015. The RGB composite shows InSAR coherence (Red), average backscatter (Green) and difference in backscatter intensity (Blue) from Sentinel-1A VV pol. data. Data accessed via the Sentinels Scientific Data Hub (scihub.copernicus.eu) and processed using SNAP/S1 Toolbox (step.esa.int). All Sentinel-1 results available for download are Derived Works of Copernicus data (2015), subject to the Terms and Conditions for the use and distribution of Sentinel Data.</p> <p>Full story at http://www.esa.int/spaceinimages/Images/2016/04/Irish_mosaic.</p>

opencc-zeroMay 2016View details →
zenodo40/100

FIGURE 2 in Rhinobatos manai sp. nov., a new species of guitarfish (Rhinopristiformes: Rhinobatidae) from New Ireland, Papua New Guinea

FIGURE 2. Head of preserved adult male holotype, 731 mm TL (NTUM 11500): A. dorsal view; B. ventral view.

opencc-zeroDec 2016View details →
zenodo40/100

FIGURE 1 in Rhinobatos manai sp. nov., a new species of guitarfish (Rhinopristiformes: Rhinobatidae) from New Ireland, Papua New Guinea

FIGURE 1. Dorsal view of Rhinobatos manai sp. nov., adult male holotype, 731 mm TL (NTUM 11500): A. freshly caught; B) preserved.

opencc-zeroDec 2016View details →
zenodo40/100

Northern Ireland results from the monitoring of pesticide residues in food

<p>This dataset contains the analytical results of pesticide residues measured in the food products analysed by the national competent authorities. Pesticide residues resulting from the use of plant protection products on crops that are used for food or feed production may pose a risk factor for public health. For this reason, a comprehensive legislative framework has been established in the European Union (EU), which defines rules for the approval of active substances used in plant protection products, the use of plant protection products and for pesticide residues in food. In order to ensure a high level of consumer protection, legal limits, so called &ldquo;maximum residue levels&rdquo; or briefly &ldquo;MRLs&rdquo;, are established in Regulation (EC) No 396/2005. EU-harmonised MRLs are set for all pesticides covering all types of food products. A default MRL of 0.01 mg/kg is applicable for pesticides not explicitly mentioned in the MRL legislation. Regulation (EC) No 396/2005 imposes on Member States the obligation to carry out controls to ensure that food placed on the market is compliant with the legal limits.</p> <p>A sample is considered <strong>free of quantifiable residues</strong> if the analytes were not present in concentrations at or above the limit of quantification (LOQ). The LOQ is the smallest concentration of an analyte that can be quantified with the analytical method used to analyse the sample. It is commonly defined as the minimum concentration of the analyte in the test sample that can be determined with acceptable precision and accuracy.</p> <p>If a sample is <strong>contains quantifiable residues</strong> but within the legally permitted limit (maximum residue level, MRL), it is described as a sample &nbsp;with quantified residue levels within the legal limits (below or at the MRL)</p> <p>A sample is considered <strong>non-compliant</strong> with the legal limit (MRL), if the measured residue concentrations clearly exceed the legal limits, taking into account the measurement uncertainty. It is current practice that the uncertainty of the analytical measurement is taken into account before legal or administrative sanctions are imposed on food business operators for infringement of the MRL legislation.</p> <p>&nbsp;</p> <p><strong>REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION:</strong></p> <p>MOPER_2023 - Department of Agriculture, Environment and Rural Affairs (DAERA)</p> <p>MOPER_2022 - Department of Agriculture, Environment and Rural Affairs (DAERA)</p> <p>MOPER_2021 - Department of Agriculture, Environment and Rural Affairs (DAERA)</p> <p>&nbsp;</p> <p><strong>We are seeking feedback on our open data please complete the survey at the link below:<br>https://ec.europa.eu/eusurvey/runner/9344dfa0-f384-cb72-65f6-6c187a6d0f14</strong></p>

opencc-by-4.0Apr 2023View details →
zenodo40/100

Results from national testing programs on the occurrence of chemical contaminants in food and feed - Ireland

<p>In the framework of Articles 23 and 33 of Regulation (EC) No 178/2002 EFSA has received from the European Commission a mandate (M-2010-0374) to collect all available data on the occurrence of chemical contaminants in food and feed. These data are used in EFSA&rsquo;s scientific opinions and reports on contaminants in food and feed.&nbsp;&nbsp;</p> <p>The presence of unauthorised substances or chemical contaminants in food may pose a risk factor for public health and can cause a negative impact on the quality of food.&nbsp;</p> <p>Commission Recommendations and Regulations on occurrence monitoring are in place for several contaminants of interest, some of which can be found here below:&nbsp;&nbsp;</p> <ul> <li>Commission Regulation (EU) 625/2017, on the application of food and feed law</li> <li>Commission Delegated Regulation (EU) 2022/931</li> <li>Commission Implementing Regulation (EU) 2022/932</li> <li>Commission Regulation (EU) 2023/915, on maximum levels for certain contaminants in food and repealing Regulation (EC) No 1881/2006</li> </ul> <p>These datasets contain the results of sampling that was designed according to national testing programs for a variety of contaminants in food and feed, as reported under the Chemical Monitoring Data Collection 2024, 2023, 2022, 2021, and 2020, split by sampling year (data element &lsquo;sampY&rsquo;).&nbsp;</p> <p>More details are available in last year's finalised call for data &lsquo;<span><a href="https://www.efsa.europa.eu/en/call/annual-call-continuous-collection-chemical-contaminants-occurrence-data-food-and-feed">Annual call for continuous collection of chemical contaminants occurrence data in food and feed | EFSA</a></span>&rsquo;.</p> <p>REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION:&nbsp;</p> <p>OCC-CHEMMON2020 &ndash; Food Safety Authority of Ireland, Marine Institute, Department of Agriculture, Food and the Marine</p> <p>OCC-CHEMMON2021 &ndash; Food Safety Authority of Ireland</p> <p>OCC-CHEMMON2022 &ndash; Food Safety Authority of Ireland</p> <p>OCC-CHEMMON2023 &ndash; Food Safety Authority of Ireland;&nbsp;Department of Agriculture, Environment and Rural Affairs</p> <p>OCC-CHEMMON2024 &ndash; Food Safety Authority of Ireland; Department of Agriculture, Environment and Rural Affairs</p>

opencc-by-4.0Apr 2024View details →
zenodo40/100

Factors influencing the likelihood of accessing healthcare during the COVID-19 pandemic in Ireland: lessons for the future

<p>This is an adapted version of the original National Household Survey - Wave 1 whereby existing variables were recoded to create new variables for the purpose of a new analysis.</p>

opencc-by-4.0Nov 2023View details →
zenodo40/100

Figure 9. A in Demosponges of the genus Hymedesmia (Poecilosclerida: Hymedesmidae) from Rathlin Island, Northern Ireland, with a description of six new species

Figure 9. A, Hymedesmia (Stylopus) crami sp. nov. A, large acanthostyle; B, base of large acanthostyle; C, small acanthostyle; D, ends of ectosomal spicule. Scale bars: 10 Mm. B, Hymedesmia (Stylopus) crami sp. nov., surface.

opencc-by-4.0Aug 2009View details →
zenodo40/100

Figure 8. A in Demosponges of the genus Hymedesmia (Poecilosclerida: Hymedesmidae) from Rathlin Island, Northern Ireland, with a description of six new species

Figure 8. A, Hymedesmia (Hymedesmia) stellifera sp. nov. A, small acanthostyle; B, ectosomal spicule; C, large acanthostyle end; D, sigma; E, chelae. Scale bars: 10 Mm. B, Hymedesmia (Hymedesmia) stellifera sp. nov., surface.

opencc-by-4.0Aug 2009View details →
zenodo40/100

Figure 5. A in Demosponges of the genus Hymedesmia (Poecilosclerida: Hymedesmidae) from Rathlin Island, Northern Ireland, with a description of six new species

Figure 5. A, Hymedesmia (Hymedesmia) rathlinia sp. nov. A, large acanthostyle; B, small acanthostyle; C, base of large acanthostyle; D, ends of ectosomal spicule; E, chelae. Scale bars: 10 Mm. B, Hymedesmia (Hymedesmia) rathlinia sp. nov., surface, undisturbed, covered in silt. C, Hymedesmia (Hymedesmia) rathlinia sp. nov., surface, with silt removed.

opencc-by-4.0Aug 2009View details →
zenodo40/100

Figure 7. A in Demosponges of the genus Hymedesmia (Poecilosclerida: Hymedesmidae) from Rathlin Island, Northern Ireland, with a description of six new species

Figure 7. A, Hymedesmia (Hymedesmia) peachii Bowerbank, 1882. A, large acanthostyle; B, small acanthostyle; C, ends of ectosomal spicule; D, small chelae; E, large chelae. Scale bars: 10 Mm. B, Hymedesmia(Hymedesmia) peachii, surface.

opencc-by-4.0Aug 2009View 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