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.
715
datasets available to search
ShareScore release 0.9.0
Dataset results
715 results for “Varieties”
Figure 3 in Performance of Anastrepha fraterculus (Wiedemann) (Diptera: Tephritidae) rearing on fruits of two guava varieties under forced infestation
Figure 3. Pupae of Anastrepha fraterculus per fruit or kg as function of pupal viability and, pupal weight versus guava weight of "Tailandesa" (red pulp) and "Kumagai" (white pulp) varieties (n=42).
Figure 2 in Performance of Anastrepha fraterculus (Wiedemann) (Diptera: Tephritidae) rearing on fruits of two guava varieties under forced infestation
Figure 2. Pupal infestation pattern of Anastrepha fraterculus in guavas "Tailandesa" (red pulp) and "Kumagai" (white pulp) (n=42).
Genome assembly and annotation of an apple variety 'RubyMac'
<p>In this dataset, we provided the contig-level genome assembly and annotation of an apple tree called 'RubyMac', which is growing in Michigan, USA (43°04'53.1"N 85°43'13.5"W). In this tree, the upper branches carried a sport mutation as compared with lower branches.</p>
Fig. 2 in Resistance of four rose varieties to Tetranychus urticae (Acari: Tetranychidae) under greenhouse conditions
Fig. 2. Average (± SE) of the percentage of chlorophyll loss caused by the feeding of Tetranychus urticae. Varieties with different letters were significantly different (Tukey test, P <0.05).
Fig. 1 in Resistance of four rose varieties to Tetranychus urticae (Acari: Tetranychidae) under greenhouse conditions
Fig. 1. Box-plot comparing growth rate (r) of Tetranychus urticae on 4 rose varieties. Varieties with different letters were significantly different (Nemenyi test, P <0.05).
Fig. 1 in Population development of bean weevils (Coleoptera: Chrysomelidae: Bruchinae) in landrace varieties of cowpeas and common beans
Fig. 1. Daily emergence (insects per dish) of (a) Callsobruchus maculatus and (b) Zabrotes subfasciatus observed in landrace varietes of cowpea and common bean, respectvely. The symbols represent the means of 4 replicates. Error bars represent the standard error. The equaton parameters are provided in Table 1.
Fig. 2 in Population development of bean weevils (Coleoptera: Chrysomelidae: Bruchinae) in landrace varieties of cowpeas and common beans
Fig. 2. Means of the total emergence of adult insects of (a) Callosobruchus maculatus and (b) Zabrotes subfasciatus recorded in landrace varietes of cowpea and common bean, respectvely. Means under the same line are not significantly different, according to Tukey's test (P <0.05).
Fig. 4 in Population development of bean weevils (Coleoptera: Chrysomelidae: Bruchinae) in landrace varieties of cowpeas and common beans
Fig. 4. Means of the percentage weight loss of (a) cowpea and (b) common bean. Means under the same line are not significantly different, according to Tukey's test (P <0.005).
Figure 4 in Introgression of bacterial leaf blight (BLB) resistant gene, Xa7 into MARDI elite variety, MR219 by marker assisted backcrossing (MABC) approach
Figure 4. PCR-based genetic polymorphism analysis of Xa7 gene closed linked, ID7 marker. Agarose gel profile of backcrossed progenies in 2% (w/v) of 1X TBE agarose gel. Lane L: 100bp DNA ladder. Lanes D and R represent IRBB7 and MR219 respectively. Line 1-22: (1) PB-2-91, (2) PB-2-107, (3) PB-2-156, (4) PB-2-224, (5) PB-2-234, (6) PB-2-238, (7) PB-2-258, (8) PB-2-29, (9) PB-2-77, (10) PB-2-226, (11) PC3-26-2, (12) PC-39-3, (13) PB-2-34, (14) PB-2-35, (15) PB-2-150, (16) PB-2-223, (17) PB-2-252, (18) PC-3-14-3, (19) PC-3-23-1, (20) PB-2-32, (21) PC3-5-2, (22) MR263.
Figure 3 in Introgression of bacterial leaf blight (BLB) resistant gene, Xa7 into MARDI elite variety, MR219 by marker assisted backcrossing (MABC) approach
Figure 3. Differential response of parents. (A) MR263, (B) CL2, (C) IRBB7 and (D) MR219, respectively after being inoculated with Xanthomonas oryzae pv. oryzae at 14 DAI.
Figure 2 in Introgression of bacterial leaf blight (BLB) resistant gene, Xa7 into MARDI elite variety, MR219 by marker assisted backcrossing (MABC) approach
Figure 2. Bacterial leaf blight disease progression recorded on four potential parents; IRBB7 (blue), MR219 (orange), CL2 (gray) and MR219 (yellow) from 3 to 30 days after inoculation.
Linked collectors and determiners for: New varieties and synonyms of Lupinus species (Fabaceae, Faboideae) of Northwestern Argentina.
Natural history specimen data linked to collectors and determiners held within, "New varieties and synonyms of Lupinus species (Fabaceae, Faboideae) of Northwestern Argentina". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/dfcedf82-a9ee-4d9f-873b-ad6a4006beb3">https://bionomia.net/dataset/dfcedf82-a9ee-4d9f-873b-ad6a4006beb3</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/dfcedf82-a9ee-4d9f-873b-ad6a4006beb3">https://gbif.org/dataset/dfcedf82-a9ee-4d9f-873b-ad6a4006beb3</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Taxonomic studies on Indian Ophiorrhiza L. (Rubiaceae): with a new variety, new distributional record of O. medogensis H. Li for India and the identity of O. recurvipetala Bhuyan, Baruah & Mehmud.
Natural history specimen data linked to collectors and determiners held within, "Taxonomic studies on Indian Ophiorrhiza L. (Rubiaceae): with a new variety, new distributional record of O. medogensis H. Li for India and the identity of O. recurvipetala Bhuyan, Baruah & Mehmud". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/1323cba8-8dc5-4ac5-ad58-00d8377b7aa3">https://bionomia.net/dataset/1323cba8-8dc5-4ac5-ad58-00d8377b7aa3</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/1323cba8-8dc5-4ac5-ad58-00d8377b7aa3">https://gbif.org/dataset/1323cba8-8dc5-4ac5-ad58-00d8377b7aa3</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Pavetta trichardtensis (Rubiaceae) and its varieties.
Natural history specimen data linked to collectors and determiners held within, "Pavetta trichardtensis (Rubiaceae) and its varieties". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/05ac27c1-06bd-4f6d-be45-2f13a9f247e9">https://bionomia.net/dataset/05ac27c1-06bd-4f6d-be45-2f13a9f247e9</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/05ac27c1-06bd-4f6d-be45-2f13a9f247e9">https://gbif.org/dataset/05ac27c1-06bd-4f6d-be45-2f13a9f247e9</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Tripogon nicorae var. aristulata (Poaceae), a new variety from Peru.
Natural history specimen data linked to collectors and determiners held within, "Tripogon nicorae var. aristulata (Poaceae), a new variety from Peru". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/fd46e672-7c7d-4579-a7a9-0209e50fc3c6">https://bionomia.net/dataset/fd46e672-7c7d-4579-a7a9-0209e50fc3c6</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/fd46e672-7c7d-4579-a7a9-0209e50fc3c6">https://gbif.org/dataset/fd46e672-7c7d-4579-a7a9-0209e50fc3c6</a>. Formatted as a Frictionless Data package.
Fig. 62. A, B. Disporella hispida, yellow variety. A in Northern Adriatic Bryozoa From The Vicinity Of Rovinj, Croatia
Fig. 62. A, B. Disporella hispida, yellow variety. A. Ancestrula and early autozooids (AMNH 1048; 0.1 mm). B. Young colony (AMNH 1049; 0.5 mm). C–I. Patinella radiata. C. Fertile colony (AMNH 1050; 0.5 mm). D. Short ooeciostome with circular ooeciopore (AMNH 1050; 0.1 mm). E. Radiating fascicles of autozooids separated by alveoli, and growing edge of colony (AMNH 1051; 0.1 mm). F. Stellateheaded spines within autozooids (AMNH 1051; 0.02 mm). G. Broken ancestrula (AMNH 1052; 0.1 mm). H. Ancestrula and first autozooids of young colony (specimen destroyed; 0.05 mm). I. Ancestrula and first zooids of young colony in early stages of reflection of basal lamina back over ancestrula, establishing radial growth (AMNH 1048; 0.2 mm).
Fig. 60. A–J. Disporella hispida. A–D. Yellow variety. A in Northern Adriatic Bryozoa From The Vicinity Of Rovinj, Croatia
Fig. 60. A–J. Disporella hispida. A–D. Yellow variety. A. General aspect (AMNH 1043; 0.5 mm). B. Autozooids (orifices at top) largely buried below alveoli (AMNH 1044; 0.2 mm). C. Spines within autozooid closed by inset diaphragm (AMNH 1043; 0.02 mm). D. Growing edge of colony, with minimal orificial spines (AMNH 1043; 0.1 mm). E–J. white variety. E. Colony with incompletely formed central brood chamber (AMNH 1046; 0.5 mm). F. Spinose orifice of autozooid, and alveoli (AMNH 1046; 0.1 mm). G. Spines within autozooid (AMNH 1047; 0.01 mm). H. Growing edge of colony with spinose autozooidal orifices (AMNH 1048; 0.1 mm). I. Fertile colony with completely formed brood chamber and ooeciostome (AMNH 1047; 0.5 mm). J. Ooeciostome (AMNH 1047; 0.05 mm).
Text-fig. 3. Sphenophyte and fern remains from Remigiusberg Formation. A) Asterophyllites equisetiformis, Inv.-Nr. PB 2010/5809 LS (LS-RLP), scalebar = 2.5 cm; B) Asterophyllites equisetiformis (right) and Pecopteris sp. (left), Inv.-Nr. PB 2010/5813 LS (LS-RLP), scalebar = 2 cm; C) Long-leafed variety of Asterophyllites equisetiformis, Inv.-Nr. PB 2010/5808 LS, scalebar = 2 cm; D) Calamites sp., Inv.-Nr. PB 2010/5804 LS (LS-RLP), scalebar = 2.5 cm; E) Eucalamites cruciatus, Inv.-Nr. PB 2016/5034 LS (LS-RLP), scalebar = 2 cm. in New Data On The Macroflora Of The Basal Rotliegend Group (Remigiusberg Formation; Gzhelian) In The Saar-Nahe Basin (Sw-Germany)
Text-fig. 3. Sphenophyte and fern remains from Remigiusberg Formation. A) Asterophyllites equisetiformis, Inv.-Nr. PB 2010/5809 LS (LS-RLP), scalebar = 2.5 cm; B) Asterophyllites equisetiformis (right) and Pecopteris sp. (left), Inv.-Nr. PB 2010/5813 LS (LS-RLP), scalebar = 2 cm; C) Long-leafed variety of Asterophyllites equisetiformis, Inv.-Nr. PB 2010/5808 LS, scalebar = 2 cm; D) Calamites sp., Inv.-Nr. PB 2010/5804 LS (LS-RLP), scalebar = 2.5 cm; E) Eucalamites cruciatus, Inv.-Nr. PB 2016/5034 LS (LS-RLP), scalebar = 2 cm.
Agronomic performance of cultivar mixtures and pure stands of 8 winter wheat varieties, obtained from mixture field trials in Switzerland from 2021 to 2023, together with associated functional traits measurements
<p>This dataset contains agronomic performance data for 8 Swiss winter wheat cultivars, grown in pure stands and in mixtures at 3 locations in Switzerland during 3 growing seasons (2021-2023). The dataset has been used to analyse the effects of cultivar mixtures on agronomic performance and stability, which is published in <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.eja.2024.127504" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.eja.2024.127504</a>. </p> <p>The dataset contains notably grain yield, protein content, thousand kernel weight, specific weight, and Zeleny sedimentation value, as well as functional traits measured at flowering for each mixture and pure stand plot. </p> <p>The field trials were performed under the Swiss Extenso (low input) conditions, conducted by Agroscope and DSP. </p> <h3>Methods </h3> <p> <em>Field trials </em></p> <div>Field trials were set up over the course of three growing seasons – 2020/2021, 2021/2022 and 2022/2023 – in three sites across the Swiss Central Plateau. The experimental sites were located in Changins (46°19′ N 6°14′ E, 455m a.s.l), Delley (46°55′ N 6°58′ E, 494m a.s.l) and Utzenstorf (47°97′ N 7°33′ E, 483m a.s.l.). </div> <div>Experimental communities consisted of pure stand plots, 2-cultivars mixtures, and one plot with the 8 cultivars mixed. We sowed every possible combination of 2-cultivar mixtures, amounting to a total of 28 2-cultivar mixtures treatments, to which we added the 8-cultivar mixture. Each community was grown in a plot of 7.1 m<sup>2</sup> (1.5m∗4.7m). We used a complete randomized block design, with 3 replicates, the plots being randomized at each site within each block. Sowing was performed with a small plot drill (Wintersteiger plotseed TC). Density of sowing was 350 viable seeds/m<sup>2</sup>. For the mixtures, seeds were mixed beforehand at a 2 × 50 % mass ratio for 2-cultivars mixtures and 8 × 12.5 % for the 8-cultivar mixture. We chose this method of mixing as this is what is commonly done by farmers in Switzerland. Plots were sowed mechanically each autumn and fertilized with ammonium nitrate at a rate of 140 N/ha in 3 applications (40 N/ha at tillering stage/BBCH 22–29; 60 N/ha at the beginning of stem elongation/BBCH 30–31; 40 N/ha at booting stage/BBCH 45–47). The trials were grown according to the Swiss <em>Extenso</em> scheme, i.e. without any fungicide, insecticide, and growth regulator. Weeds were regulated twice or thrice per season with the application of herbicides commonly used in Switzerland.</div> <div> </div> <div><em>Ear density</em></div> <div> </div> <div>Before harvest, we manually harvested horizontal bands of 1.5 × 0.3 square meters per plot. The location of the band was randomly chosen but we avoided plot edges (i.e. the band was located at more than 0.5 m from the lower and upper edge of each plot). We counted the heads, and obtained ear density from the head counts.</div> <div> </div> <div><em>Trait measurements </em></div> <div> </div> <div>At flowering time, we randomly sampled 6 healthy leaves per plot. We immediately wrapped this leaf in moist cotton; this was stored overnight at room temperature in open plastic bags. The following day, we removed excess surface water on the leaf and weighted it to obtain its water saturated weight. This leaf was then scanned with a flatbed scanner (Perfection V39II, Epson), oven-dried in a paper envelope at 80°C for 72 hours, and subsequently weighed again to obtain its dry weight. Leaf Dry Matter Content (LDMC) was calculated as the ratio of leaf dry mass (g) to water saturated leaf mass (g). Using the leaf scans, we measured leaf area with the image processing software ImageJ. Specific Leaf Area (SLA) was calculated as the ratio of leaf area (cm2) to leaf dry mass (g).</div> <div> </div> <div><em>Phenology and height </em></div> <div> </div> <div>For each plot, we recorded the heading date as the day of the year, in which 50 % of the ears of the plot had fully emerged from the flag leaf. Plant height was measured in each plot at BBCH 59–75, by taking the average height in centimeters from the ground to the top of five random ears, excluding awns.</div> <div> </div> <p><em>Harvest and post harvest measurements</em></p> <p>At maturity, we harvested each plot with a combine harvester (Zürn 150, Schontal-Westernhausen, Switzerland). The harvested grains were dried when needed, weighed a first time, then sorted and cleaned by air and with a sieve cleaner, and subsequently weighted again. We measured hectoliter weight (test weight, HLW, kg/hl) and water content at the plot level using a Dickey-John machine (GAC 2100). Grain yield was subsequently standardized to 15 % of humidity. Protein content (% of dry matter) was measured at the site level with a near-infrared instrument (ProxiMate™, Büchi instruments). Thousand kernel weight (TKW, g) was measured at the plot level with a Marvin seed analyzer (GTA Sensorik, Neubrandenburg, Germany). Zeleny sedimentation value was measured by the laboratory of Delley Seeds and Plants. </p> <p> </p>
Agronomic, rheological and nutritional phenotypic data of 50 spelt varieties grown at 3 locations in Switzerland during 2 growing seasons (2021-2022)
<p>This dataset contains agronomic, rheological, and nutritional parameters of 50 winter spelt varieties tested during 2 growing seasons (2021-2022) at 3 locations in Switzerland. The dataset has been used to investigate the links between genotype and phenotype of spelt varieties, published in https://doi.org/10.1007/s10681-024-03400-8.</p> <p>The field trials were performed under the Swiss Extenso (low input) conditions, conducted by Agroscope and DSP, and under organic conditions, performed by GZPK. </p> <h3>Methods </h3> <p><em>Field trials </em></p> <div>Field trials were set up over the course of two growing seasons – 2020/2021, 2021/2022 – in three sites across the Swiss Central Plateau. The experimental sites were located in Changins (46°19′ N 6°14′ E, 455m a.s.l), Delley (46°55′ N 6°58′ E, 494m a.s.l) and Feldbach (47°14'24.00" N, 8°47'9.60" E, 410m a.s.l.).</div> <div>Each variety was grown in a plot of 7.1 m<sup>2</sup> (1.5 m*4.7 m) in Changins and Delley, and 4.5 m<sup>2</sup> (1.5 m*3 m) in Feldbach. We replicated the experiment three times per location. At each site, we used a complete randomized block design, with plots being randomized within each block. Density of sowing was 180 spikelets/m<sup>2</sup>. Plots were sowed mechanically each autumn. In Changins and Delley, the plots were mechanically fertilized with 100 kg N/ha (ammonium nitrate), applied in two splits (60 at heading stage—40 at flowering stage). In Feldbach, the fields were treated organically, and therefore no synthetic fertilizer was applied.</div> <div> </div> <div> </div> <div><em>Agronomic and morphological characteristics </em></div> <div> <p>For each plot, we recorded the heading date as the day of the year, in which 50% of the ears of the plot had fully emerged from the flag leaf. Once the plants and ears were fully developed, plant height was measured in each plot, by taking the average height in centimeters from the ground to the top of five random ears, excluding awns.</p> <p>At maturity, we harvested each plot with a combine harvester (Zürn 150, Schontal-Westernhausen, Switzerland). The harvested grains were weighed first, dehusked, sorted and cleaned with a sieve cleaner, and then weighted again. We measured specific weight and water content using a Dickey–John machine (GAC 2100). Grain yield was subsequently standardized to 15% of humidity. Protein content (%) was measured at the plot level with a near-infrared instrument (ProxiMate™, Büchi instruments). Thousand kernel weight (TKW, g), as well as kernel length and width (mm), were measured at the plot level with a Marvin seed analyzer (GTA Sensorik, Neubrandenburg, Germany).</p> <p>Additional measurements in Changins: we computed harvest index for each plot by cutting 30 individual culms just before harvest. Plants were cut just above the ground, oven-dried for 3 days at 80 °C and then weighed. We then threshed, dehusked, sieved and weighed the obtained grains. The harvest index was computed by taking the ratio of grain mass over total mass.</p> <p> </p> <p><em>Rheological characteristics </em></p> </div> <div> <p>At all sites, Zeleny sedimentation value (mL) was assessed based on the International Association for Cereal Science and Technology standard method 116/1.The analyses were performed by the analytical laboratory of DSP, Delley, at the variety level for each site—i.e., grains from the three replicates per site were pooled together and subsequently milled.</p> <p>Additional measurements in Changins were done for each variety, based on a pooled sample of the three replicates. Extensograph properties of the obtained dough were assessed according to ICC standard method 114/1; area under curve (energy, cm2), resistance to extension at 5 cm extension (EE), and extensibility of the dough (mm) were measured. The analyses were performed by the accredited laboratory “Versuchsanstalt für Getreideverarbeitung” based in Austria (<a href="https://www.vfg.or.at/">https://www.vfg.or.at/</a>).</p> <p> </p> <p><em>Nutritional characteristics </em></p> </div> <div> </div> <div>We assessed the structure of starch (amylose content) and the fatty acid composition for each variety in Changins. These analyses were done by pooling grains from the three replicates in Changins and milling them. The amylose and amylopectin contents of starch were determined enzymatically via an assay based on the precipitation of amylopectin complexes with the lectin concanavalin A, according to K-Amy 06/18. The fatty acid composition was analyzed by GC-FAME, via in situ transesterification, according to the method of Ampuero Kragten et al. (<a title="Kragten SA, Collomb M, Dubois S, Stoll P (2014) Determination of fatty acid composition in feed: analytical methods. Agrarforschung Schweiz 5(9):330&ndash;337" href="https://link.springer.com/article/10.1007/s10681-024-03400-8#ref-CR36">2014</a>). These analyses were performed at the accredited analytical laboratory of Agroscope, Posieux.</div> <div> </div> <div>Kragten SA, Collomb M, Dubois S, Stoll P (2014) Determination of fatty acid composition in feed: analytical methods. Agrarforschung Schweiz 5(9):330–337</div> <div> </div> <div> </div> <div><em>DNA extraction & Genotyping </em></div> <div> </div> <div>DNA was extracted from all cultivars, and sent to TraitGenetics (SGS institute Frenius, Gatersleben DE) for SNP genotyping on the 25 K XT Infinium array for wheat.</div> <div> </div> <div> </div>
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.