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.
115
datasets available to search
ShareScore release 0.9.0
Dataset results
115 results for “Hordeum vulgare”
Hordeum vulgare L. (BR0000009846111)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Hordeum vulgare L. (BR0000024579650)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Hordeum vulgare L. (BR0000011551256)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Hordeum vulgare L. (BR0000022409386)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Hordeum vulgare L. (BR0000011550044)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Hordeum vulgare L. (BR0000022409409)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Hordeum vulgare L. (BR0000011549505)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Data on Crop Yield, Nutrient Content of Barley (Hordeum vulgare L.) and Weather of a Vertical Agrivoltaic System in Sweden
<p>The dataset location is latitude 59.55° N and longitude 16.76° E in Kärrbo Prästgård, Sweden. </p> <p>Crop data:</p> <p>Raw data of barley related to yield kernels and straws (kg DM/ha), nitrogen content in kernels (%), crude protein in kernels (%), kernels yield (kg DM/ha), straws yield (kg DM/ha), starch content in kernels (%), and thousand kernel weight (%) from the harvest on September 12<sup>th</sup>, 2023, at the agrivoltaics research site in Kärrbo Prästgård, Sweden. Fifty squared samples (each 0.25 m<sup>2</sup>) distributed in 5 groups (A, B, C, D, E) were collected according to the layout presented in the corresponding publication. Groups A, B and C are based on the spatial location in the crop area between the three vertical rows of PV modules: west side (A), center side (B) and east side (C). Group R corresponds to the reference control plot conditions. Group D represent the crops that are growing in the space between the rows of the conventional ground-mounted PV system with 30° tilt. </p> <p> </p> <p>Weather data:</p> <p>1-hour timeseries averaged data measurements at local time, raw data, not quality controlled from the barley growing season at Kärrbo Prästgård, Sweden from May 7<sup>th</sup> to September 12<sup>th</sup>,2023.</p> <p>Temperature of air (°C), relative humidity (%), relative air pressure (hPa), wind speed (m/s), and precipitation (mm/h) are measured with a Lufft WS600-UMB Smart Weather Sensor located on-site on a 5 m height mast.</p> <p>Global and diffuse horizontal irradiance (W/m<sup>2</sup>) are measured with a Delta-T SPN1 Sunshine Pyranometer.</p> <p>Photosynthetically active radiation (µmol/m<sup>2</sup>/s) is measured with an Apogee PAR Quantum sensor SQ-500.</p>
Differential beet leafhopper (<em>Neoalitarsus tenellus</em> (Hemiptera: Cicadellidae)) acceptance of allelopathic barley (<em>Hordeum vulgare</em> (Poales: Poaceae) and brown mustard (<em>Brassica juncea</em> (Brassicales: Brassicacae) cover crops
Open the record for dataset details and reuse information.
Population structure in landrace barley (Hordeum vulgare L.) during the late 19th century crop failures in Fennoscandia
<p><span><span><span><span><span><span><span><span><span><span><span>Agricultural disasters and the subsequent need for supply of relief seed can be expected to influence the genetic composition of crop plant populations. The consequences of disasters and seed relief have, however, rarely been studied since specimens sampled before the events are seldomly available. A series of crop failures struck northern Fennoscandia (Norway, Sweden and Finland) during the second half of the 19<sup>th</sup> century. In order to assess population genetic dynamics of landrace barley (<i>Hordeum vulgare</i>), and consequences of crop failure and possible seed relief during this time period, we genotyped seeds from 16 historical accessions originating from two time periods spanning the period of repeated crop failure. Reliable identification of genetic structuring is highly dependent on sampling regimes and detecting fine-scale geographic or temporal differentiation requires large sample sizes. The robustness of the results under different sampling regimes was evaluated by analyzing subsets of the data and an artificially pooled dataset. The results led to the conclusion that six individuals per accession were insufficient for reliable detection of the observed genetic structure. We found that population structure among the data was best explained by collection year of accessions, rather than geographic origin. The correlation with collection year indicated a change in genetic composition of landrace barley in the area after repeated crop failures, likely a consequence of introgression of relief seed in local populations. Identical genotypes were found to be shared among some accessions, suggesting founder effects and local seed exchange along known routes for trade and cultural exchange. </span></span></span></span></span></span></span></span></span></span></span></p>
Population structure in landrace barley (Hordeum vulgare L.) during the late 19th century crop failures in Fennoscandia
Open the record for dataset details and reuse information.
Data from: Morphological and genetic characterization of barley (Hordeum vulgare L.) landraces in the Canary Islands
Barley has been continuously cultivated in the Canary archipelago for millennia, and to this day landrace barley is the preferred choice for cultivation. We have morphologically and genetically characterized 57 landraces collected during the 21st century and conserved in genebanks. The majority of accessions were of the six-row type. Although landraces from the same island tended to be similar, the results showed morphological and genetic diversity both within and in the case of genetic data among islands. Accessions from the easternmost islands were genetically distinct from those from the central and western islands. Accessions from the western islands often had a mixed genetical composition, suggesting more recent exchange of plant material with the central islands. The geographic distribution of diversity suggests that conservation of barley genetic resources needs to consider all islands in the archipelago. Landrace barley from the Canary archipelago was found to be morphologically distinct from continental landrace barley. We suggest the uniqueness of Canarian barley, in terms of morphology and genetic diversity, can be used for marketing purposes providing added market value to the crop.
Data from: Farmers without borders - genetic structuring in century old barley (Hordeum vulgare)
Open the record for dataset details and reuse information.
Data from: Morphological and genetic characterization of barley (Hordeum vulgare L.) landraces in the Canary Islands
Open the record for dataset details and reuse information.
Spatial and temporal genetic variation in Ethiopian barley (Hordeum vulgare L.) landraces as revealed by simple sequence repeat (SSR) markers
<p>Ethiopia is a center of diversity for barley (<i>Hordeum vulgare </i>L.) and it is grown across different agro-ecologies of the country. Unraveling population structure and gene flow status on temporal scales assists an evaluation of the consequences of physical, demographic as well as overall environmental changes on the stability and persistence of populations. Here, we examine spatial and temporal genetic variation within and among barley landrace samples collected over a period of four decades (1976-2017), using simple sequence repeat (SSR) markers. Our objective was to evaluate spatial and temporal changes in barley population connectivity associated with the closure of geographic origin and time periods. Low to strong genetic diversity was observed among the landraces and STRUCTURE, Neighbour joining tree and Discriminant Analysis of Principal Component analysis revealed three clusters. The cluster analysis revealed a close relationship between landraces along geographic proximity with genetic distance increases along with geographic distance. The grouping of landraces based on altitudinal classes was influenced by geographic proximity. From AMOVA year categories, it was observed that within population genetic diversity much higher than between population genetic diversity and that the temporal differentiation is considerably smaller. The low to strong genetic differentiation between landraces from various geographic origins could be attributed to gene flow across the region as a consequence of seed exchange among farmers. Nevertheless, we found some connectivity between changes in population dynamics as well as contemporary gene flow. The results demonstrate that this set of SSRs was highly informative and was useful in generating a meaningful classification of barley germplasms. Furthermore, our data also suggest that landraces are a source of valuable germplasm for sustainable agriculture in the context of future climate change, and that <i>in-situ</i> conservation strategies based on farmers use can conserve the genetic identity of landraces while allowing adaptation to local-environments.</p>
Hordeum vulgare L. (BR0000011551027)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Hordeum vulgare L. (BR0000011551225)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Hordeum vulgare L. (BR0000011547266)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Hordeum vulgare L. (BR0000005357000)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Spatial and temporal genetic variation in Ethiopian barley (Hordeum vulgare L.) landraces as revealed by simple sequence repeat (SSR) markers
Open the record for dataset details and reuse information.
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.