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.
104
datasets available to search
ShareScore release 0.9.0
Dataset results
104 results for “Phaseolus”
Fig. 4 in Unique localization of jasmonic acid-related compounds in developing Phaseolus vulgaris L. (common bean) seeds revealed through desorption electrospray ionization-mass spectrometry imaging
Fig. 4. LC-ESI-MS/MS analysis of JA-related compounds in the extracts from the radicle and seed coat of developing Phaseolus vulgaris seeds. MS/MS spectra of peaks at (a) 5.3 min in Fig. 3c, (b) 5.3 min in Fig. 3d, (c) 6.5 min in Fig. 3c and (d) 6.5 min in Fig. 3d and (e) 6.3 min in Fig. 3e and (f) 6.3 min in Fig. 3f and (g) 6.4 min in Fig. 3e, (h) 6.4 min in Fig. 3f, (i) 6.7 min in Fig. 3e, and (j) 6.7 min in Fig. 3f. Compound names are defined in Table 1.
Fig. 2 in Unique localization of jasmonic acid-related compounds in developing Phaseolus vulgaris L. (common bean) seeds revealed through desorption electrospray ionization-mass spectrometry imaging
Fig. 2. LC-ESI-MS/MS analysis of JA-related compound standards. Spectra of (a) OPDA, (b) OPC-8:0, and (c) JA standards. Compound names are defined in Table 1.
Fig. 1 in Unique localization of jasmonic acid-related compounds in developing Phaseolus vulgaris L. (common bean) seeds revealed through desorption electrospray ionization-mass spectrometry imaging
Fig. 1. DESI-MSI analysis of JA-related compounds in the developing Phaseolus vulgaris seeds. (a) Optical image of the section. (b) Mass spectrum obtained from the section. Ion images of m/z (c) 277.2172, (d) 291.1953, and (e) 293.2117. Three different developing seeds were analyzed, and the results from one are shown as representative data. Scale bar = 2 mm. Compound names are defined in Table 1.
Fig. 3 in Unique localization of jasmonic acid-related compounds in developing Phaseolus vulgaris L. (common bean) seeds revealed through desorption electrospray ionization-mass spectrometry imaging
Fig. 3. LC-ESI-MS analysis of JA-related compounds in the extracts from the radicle and seed coat of developing Phaseolus vulgaris seeds. Base peak chromatogram of m/z 277.2173 ±10 ppm for (a) radicle and (b) seed coat, m/z 291.1966 ± 10 ppm for (c) radicle and (d) seed coat, and m/z 293.2122 ± 10 ppm for (e) radicle and seed coat, respectively. Peaks with arrow indicates JA-related compounds: (a) and (b) αLA, (c) and (d) OPDA, and (e) and (f) OPC-8:0. Compound names are defined in Table 1.
Black Bean (Phaseolus Vulgaris L.) Protein Hydrolysates Reduce Acute Postprandial Glucose Levels
ClinicalTrials.gov study NCT05869344. IPD Sharing: NO. Countries: 1. Publications: 6.
Signatures of Environmental Adaptation During Range Expansion of Wild Common Bean (Phaseolus vulgaris)
Open the record for dataset details and reuse information.
Data from: Last generation genome – environment associations reveal the genetic basis of heat tolerance in common bean (Phaseolus vulgaris L.)
Open the record for dataset details and reuse information.
Data from: Morphological and molecular characterization of variation in common bean (Phaseolus vulgaris L.) germplasm from Azad Jammu and Kashmir, Pakistan
Open the record for dataset details and reuse information.
Data from: Domestication genomics of the open-pollinated scarlet runner bean (Phaseolus coccineus L.)
Open the record for dataset details and reuse information.
Root pushing water in Phaseolus vulgaris
<p>Root pushing water in Phaseolus vulgaris</p>
Is drought tolerance a domestication trait in tepary bean?: Allelic diversity at abiotic stress responsive genes in cultivated Phaseolus acutifolius A. Gray and its wild relatives
<p>Some of the major impacts of climate change are expected in the poorest regions of the world where drought stress and nutrient deficiency are already a main issue. Legumes are an essential food crop for the poorest because of their high dietary protein and micronutrient contents. However, they are generally drought susceptible. Therefore, our goal in this study was to explore allele diversity at abiotic stress responsive candidate genes in the only drought tolerant cultivated bean species of the genus <i>Phaseolus</i>, tepary bean (<i>P. acutifolius</i> A. Gray) and its related species <i>P. parvifolius </i>Freytag. Specifically, we estimated drought tolerance in 52 tepary bean <i>s.l.</i> geo-referenced germplasm accessions from the <i>P. acutifolius</i>–<i>parvifolius</i> clade using climate information, and used this estimated drought stress index to examine allele correlations with <i>Asr2</i>, <i>Dreb2B</i> and ERECTA-encoding candidate genes for drought tolerance. Genetic clustering showed that cultivated and wild <i>P. acutifolius</i> were intermingled with <i>P. acutifolius </i>var.<i> tenuifolius</i> and <i>P. parvifolius</i>, signifying that allele diversity at candidate genes for drought tolerance was not scarce in tepary bean <i>s.l</i>. <i>Dreb2B</i> and ERECTA-encoding genes harbored signatures of directional/purifying selection, likely in favor of adaptive alleles selectively advantageous because each had two SNPs significantly correlated (<i>p-value</i> < 0.05) with habitat drought stress at six and 12 months. These results suggest that tepary bean <i>s.l. </i>is a reservoir of novel alleles at candidate genes for drought tolerance, as expected for a drought-tolerant species that originated in warmer and arid environments. Abiotic stress responsive candidate genes also exhibit comparable patterns of selective signatures when comparing orthologous across species, which speaks for a predominant role of gene sub-functionalization likely due to ecological constrains. Our study therefore corroborates that the candidate gene approach is still an effective alternative for marker validation across a broader genetic basis of germplasm accessions. Further efforts to determine the genetic architecture of drought tolerance will unlock novel alleles hidden in a crop with limited modern relevance as tepary bean, but capable of acting as a donor in backcrossing and genome editing strategies with elite common bean lines aiming to meet the imminent demands of a drier world.</p>
Genetic analysis of marsh spot resistance in cranberry common bean (Phaseolus vulgaris L.)
<p>Appendix Table 7,8,15</p>
Linked collectors and determiners for: El Género Phaseolus (Leguminosae, Papilionoideae, Phaseoleae) para México.
Natural history specimen data linked to collectors and determiners held within, "El Género Phaseolus (Leguminosae, Papilionoideae, Phaseoleae) para México". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/775fa12b-953b-4359-9b64-bb596540bdcb">https://bionomia.net/dataset/775fa12b-953b-4359-9b64-bb596540bdcb</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/775fa12b-953b-4359-9b64-bb596540bdcb">https://gbif.org/dataset/775fa12b-953b-4359-9b64-bb596540bdcb</a>. Formatted as a Frictionless Data package.
Trial to Examine the Effect of Natural Anti- Obesity Agent (Phaseolus Vulgaris) Among Women of Lahore
ClinicalTrials.gov study NCT05451927. IPD Sharing: YES. Countries: 1. Publications: 0.
Is drought tolerance a domestication trait in tepary bean?: Allelic diversity at abiotic stress responsive genes in cultivated Phaseolus acutifolius A. Gray and its wild relatives
Open the record for dataset details and reuse information.
Data from: Prediction of cooking time for soaked and unsoaked dry beans (Phaseolus vulgaris L.) using hyperspectral imaging technology
Open the record for dataset details and reuse information.
In-nodule transcriptome analysis of Paraburkholderia phymatum during symbiosis with Phaseolus vulgaris
GEO Series GSE107381. Paraburkholderia phymatum STM815. 9 samples. Type: Expression profiling by high throughput sequencing.
Rhizobia Contribute to Salinity Tolerance in Common Beans ( Phaseolus vulgaris L.)
GEO Series GSE216374. Rhizobium phaseoli. 6 samples. Type: Expression profiling by high throughput sequencing.
Genome-wide identification of the Phaseolus vulgaris sRNAome using small RNA and degradome sequencing [degradome-seq]
GEO Series GSE67432. Phaseolus vulgaris. 2 samples. Type: Other.
Transcriptomic dataset of Phaseolus vulgaris leaves in response to the inoculation of pathogenic Xanthomonas citri pv. fuscans and its type 3 secretion system-defective mutant hrcV.
GEO Series GSE271236. Phaseolus vulgaris. 36 samples. Type: Expression profiling by high throughput sequencing.
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.