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.
20
datasets available to search
ShareScore release 0.9.0
Dataset results
20 results for “Fasciola hepatica”
Fig. 6 Monthly anti-F in Patterns of Fasciola hepatica infection in Danish dairy cattle: implications for on-farm control of the parasite based on different diagnostic methods
Fig. 6 Monthly anti-F. hepatica antibody levels in bulk tank milk (BTM) (solid line) and average serum antibody levels of milking cows during the study period (triangle points with dashed line, error bars showing standard error of the mean) in the four farms
Fig. 5 in Patterns of Fasciola hepatica infection in Danish dairy cattle: implications for on-farm control of the parasite based on different diagnostic methods
Fig. 5 The summary of F. hepatica diagnostic test results according to farms and age during the study period (from spring 2015 to winter 2017). Colour indicates animals that were born in the same year. Coproantigen ELISA values are log-transformed (after adding a fixed constant of 1), and the cut-off defined as 1.89 (1.061 after transformation). Faecal egg counts in 5 g faeces were also log-transformed (after adding a fixed constant of 1) for the benefit of visualisation. Any post-treatment data are excluded
Fig. 4 in Patterns of Fasciola hepatica infection in Danish dairy cattle: implications for on-farm control of the parasite based on different diagnostic methods
Fig. 4 Danish climate data for the four farms for the study period (2015–2017: red) and 30 year average (1961–1990: blue). The climate in Denmark is a mixture of oceanic and continental temperate. The mean day highest and lowest temperatures of each month are shown above, while the total monthly precipitations are shown below
Fig. 3 in Patterns of Fasciola hepatica infection in Danish dairy cattle: implications for on-farm control of the parasite based on different diagnostic methods
Fig. 3 Schematic map and Gantt chart of grazing periods (grey shaded, time of sampling; green shaded, grazing; pasture areas are indicated by capital letters), pasture characteristics (refer to the common map legend) and treatment against Fasciola hepatica on farms O1 and O2, 2015–2017
Fig. 1 in Patterns of Fasciola hepatica infection in Danish dairy cattle: implications for on-farm control of the parasite based on different diagnostic methods
Fig. 1 Map of Denmark, showing the regions and locations of the four farms that participated in the study
Fig. 2 in Patterns of Fasciola hepatica infection in Danish dairy cattle: implications for on-farm control of the parasite based on different diagnostic methods
Fig. 2 Schematic map and Gantt chart of grazing periods (grey shaded, time of sampling; green shaded, grazing; pasture areas are indicated by capital letters), pasture characteristics (refer to the common map legend) and treatment against Fasciola hepatica on farms C1 and C2, 2015–2017
Analysis and visualization of the Fasciola hepatica spatial transcriptomics dataset
<p>This repository contains various files related to the analysis of the paper: Spatial transcriptomics of a parasitic flatworm provides a molecular map of drug targets and drug-resistance genes.</p>
Table 1 in Patterns of Fasciola hepatica infection in Danish dairy cattle: implications for on-farm control of the parasite based on different diagnostic methods
<p><b>Table 1</b> Summary of data used as inclusion criteria for the 4 farms in the study</p><table><tbody><tr><th>Farm</th><th>Year</th><th>No. of heifers</th><th>No. of cows</th><th>Total no. of cattle</th><th>Liver condemnation (%)</th><th>BTM ELISA value (S/P%)a</th></tr></tbody><tbody><tr><th>C1</th><td>2011</td><td>72.5</td><td>176.5</td><td>314</td><td>6.2</td><td><i>–</i></td></tr><tr><th></th><td>2012</td><td>65.5</td><td>184.5</td><td>303</td><td>21.3</td><td><i>–</i></td></tr><tr><th></th><td>2013</td><td>65</td><td>187.5</td><td>315</td><td>30.0</td><td><i>–</i></td></tr><tr><th></th><td>2014</td><td>63</td><td>183.5</td><td>312</td><td>18.6</td><td>179.3</td></tr><tr><th>C2</th><td>2011</td><td>103</td><td>135</td><td>292</td><td>8.3</td><td><i>–</i></td></tr><tr><th></th><td>2012</td><td>98.5</td><td>145</td><td>300</td><td>11.9</td><td><i>–</i></td></tr><tr><th></th><td>2013</td><td>105.5</td><td>144</td><td>314</td><td>16.1</td><td><i>–</i></td></tr><tr><th></th><td>2014</td><td>111</td><td>149</td><td>331</td><td>19.4</td><td>181.2</td></tr><tr><th>O1</th><td>2011</td><td>145</td><td>172</td><td>367</td><td>2.6</td><td><i>–</i></td></tr><tr><th></th><td>2012</td><td>141</td><td>168</td><td>362</td><td>7.6</td><td><i>–</i></td></tr><tr><th></th><td>2013</td><td>124</td><td>174.5</td><td>354</td><td>33.3</td><td><i>–</i></td></tr><tr><th></th><td>2014</td><td>172</td><td>183</td><td>425</td><td>23.3</td><td>221.4</td></tr><tr><th>O2</th><td>2011</td><td>90.5</td><td>113.5</td><td>251</td><td>18.1</td><td><i>–</i></td></tr><tr><th></th><td>2012</td><td>97.5</td><td>124</td><td>275</td><td>32.6</td><td><i>–</i></td></tr><tr><th></th><td>2013</td><td>111</td><td>131.5</td><td>282</td><td>27.7</td><td><i>–</i></td></tr><tr><th></th><td>2014</td><td>113</td><td>133.5</td><td>285</td><td>38.1</td><td>206.9</td></tr></tbody></table><p><sup>a</sup> by IDEXX ELISA test (cut-off is 30 and ≥ 150S/P% is considered high)</p>
Fig. 7 in Patterns of Fasciola hepatica infection in Danish dairy cattle: implications for on-farm control of the parasite based on different diagnostic methods
Fig. 7 Results of generalised additive mixed models (GAMM) showing the relative effects of animal age, season of sampling, and date of the sampling (for longer-term temporal trends) within the studied farms. Each combination of farm and diagnostic test was modelled independently. The estimates are shown using solid lines and shaded areas indicate 95% confidence intervals. The y-axis is on the natural logarithm scale
RNA-seq of Fasciola hepatica eggs during the maturation process elucidate the role of proteolytic enzymes
GEO Series GSE160622. Fasciola hepatica. 9 samples. Type: Expression profiling by high throughput sequencing.
Next Generation Sequencing of Newly excysted juveniles, Juveniles and Adult Fasciola hepatica
GEO Series GSE186948. Fasciola hepatica. 9 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Analysis of miRNA expression upon stimulation of LPS activated THP-1 macrophages with Fasciola hepatica Excretory-Secretory Products (Fh-ES)
GEO Series GSE277108. Homo sapiens. 16 samples. Type: Non-coding RNA profiling by array.
The miRNome of Fasciola hepatica juveniles endorse the existence of a reduced set of highly divergent miRNAs in parasitic flatworms.
GEO Series GSE66490. Fasciola hepatica. 1 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Analysis of influence of Excretory Secretory Products from wild and laboratory Fasciola hepatica isolates on LPS activated bovine macrophages
GEO Series GSE95022. Bos taurus. 8 samples. Type: Expression profiling by array.
Fasciola hepatica Fatty Acid Binding Protein 1 modulates T cell polarization by promoting dendritic cell thrombospondin-1 secretion without affecting metabolic homeostasis in obese mice
GEO Series GSE197462. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Immunomodulatory induced by Cathepsin L1 vaccine in sheep infected with Fasciola hepatica.
GEO Series GSE71431. Ovis aries. 36 samples. Type: Expression profiling by high throughput sequencing.
Fasciola hepatica miRNAs in mouse peritoneal Ago2
GEO Series GSE145597. Mus musculus. 14 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Gene expression profile in the liver of BALB/c mice infected with Fasciola hepatica
GEO Series GSE69588. Mus musculus. 9 samples. Type: Expression profiling by array.
Splenic gene expression profile of mice immunized with an anti-Fasciola hepatica vaccine candidate: insights into the immunological mechanisms leading to protection
GEO Series GSE69611. Mus musculus. 6 samples. Type: Expression profiling by array.
Analysis of influence of Excretory Secretory Products from wild and laboratory Fasciola hepatica isolates on bovine macrophages
GEO Series GSE95019. Bos taurus. 8 samples. Type: Expression profiling by array.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research 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.
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.
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.
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.
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.