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.
16
datasets available to search
ShareScore release 0.9.0
Dataset results
16 results for “seed weight”
Chickpea flowering, carbon isotope, seed weight in a factorial of 20 genotypes and 8 environments
<p>Chickpea was phenotyped for time to flowering, carbon isotope composition at peak biomass, and seed weight at maturity in a factorial combining 20 genotypes, 2 sowing dates, 2 sowing regimes over two seasons. </p>
Chickpea flowering, carbon isotope, seed weight in a factorial of 20 genotypes and 8 environments
Open the record for dataset details and reuse information.
Data to form periodic lossless ternary seeds of maximum weight (Part 1)
<p>Data to form periodic lossless ternary seeds of maximum weight.<br> <br> Detailed information can be found in the GitHub project (https://github.com/vtman/perlotSeeds). Codes to generate periodic blocks (binary and ternary) can also be found there.<br> <br> Binary seeds can have only two symbols (0 = "do not care" = "_" or 1 = "match" = "#"). The length of a seed is the number of its elements, weight of a seed is the number of its 1-elements. The goal is to find seeds of maximum weight, so they can be used when there are two strings with a given number of mismatches. It is observed that in many cases these seeds of maximum weight have a periodic structure: the same block is repeated multiple times + its remainder. Blocks for binary seeds can be found with the help of the PerFSeeB project (https://github.com/vtman/PerFSeeB). These blocks have the maximum possible weight. <br> <br> In genetics, we have four symbols in sequences (A, C, G, T). However, the chance of having a pointwise mutation is not the same for any pairs. A <strong>transition</strong> mutation (A ↔ G or C ↔ T) is often twice higher than a <strong>transversion</strong> mutation (A ↔ C, A ↔ T, G ↔ C, G ↔ T). Transition-constrained seeds use ternary alphabet {<strong>#</strong>, <strong>@</strong>, <strong>_</strong>} where <strong>@</strong> is for a match or a transition mismatch. To generate ternary seeds, we first need to generate ternary blocks. These ternary blocks can be found when we use binary blocks. However, sometimes, we need to use binary blocks for less than the maximum weight.<br> <br> BinaryDataLevel.zip contains binary blocks (mostly of maximum weight, but 1/5 are for smaller weights (less than one and a couple of blocks than two)). <br> <br> Files T1V1.zip, T1V2.zip,..., and T8V1.zip contain ternary blocks in binary format. T4V2.zip and T7V2.zip are in the other dataset.<br> <br> File bestTernary.zip contains ternary seeds of maximum weight (calculated as the number of # symbols + half of @ symbols)</p>
Seed weight of Erodium cicutarium in its native and two invaded ranges
<p>This dataset provides seed weights of the plant <em>Erodium cicutarium </em>in its native range in Germany as well as two invaded ranges, California (US) and Chile. The dataset is related to the following publication:</p> <p>Heger, T., Nikles, G., & Jacobs, B. S. (2018). Differentiation in native as well as introduced ranges: Germination reflects mean and variance in cover of surrounding vegetation. Aob Plants, ply009-ply009. https://doi.org/10.1093/aobpla/ply009</p>
Enterolobium cyclocarpum database of abortions and seed weight in five populations of Mexico and Costa Rica
Open the record for dataset details and reuse information.
Seed weight : Traits: Competition and Resource Reduction for Five Grass Species Grown in Monoculture and Competition in Soils with Different Nitrogen Availabilities
This experiment was designed to determine the relationships between plant traits, successional status, and resource reduction for five grass species that were grown for three years in monoculture in replicated field plots on soils prepared to have different availabilities of nitrogen. It also determines the results of competition experiments among various combinations of these species as well as the differing feedback effects of each species on soil nitrogen mineralization rates. All of this work has motivated the desire to more fully understand the mechanisms of interactions among plants and their resources, in the belief that this might eventually allow predictions of the dynamics, diversity, and composition of plant communities.
Seed weight : BioCON : Biodiversity, Elevated CO2, and N Enrichment
BioCON (Biodiversity, CO2, and Nitrogen) is an ecological experiment started in 1997 at the University of Minnesota's Cedar Creek Ecosystem Science Reserve. BioCON's goal is to explore the ways in which plant communities will respond to three environmental changes that are known to be occurring on a global scale: increasing nitrogen deposition, increasing atmospheric CO2, and decreasing biodiversity. Why Biodiversity, CO2, and Nitrogen? While there are many uncertainties in global change biology, there are also some well documented facts. Some of these are: 1. The amount of carbon dioxide (CO2) in the atmosphere is rising. Since the industrial revolution, the CO2 concentration in the atmosphere has increased from approximately 275 parts per million (ppm) to about 378 ppm today. This has been largely the result of fossil fuel burning. It is expected that CO2 levels will continue to rise, and that by the year 2050 these levels will be approximately 550 ppm. CO2 is the raw material for photosynthesis and is known to affect plant growth and development. 2. The amount of nitrogen moving through terrestrial ecosystems has increased in the recent past. While natural "background" levels of nitrogen fixation have remained constant, human additions to the system through fertilizer production and fossil fuel use have increased dramatically. Nitrogen is a key nutrient for plant growth and plays a critical role in plant community structure and composition in many environments. 3. Biodiversity levels are falling. While the research and data are not as complete as they are for CO2 and nitrogen, data indicate that the number of species globally, is being reduced. Perhaps more important for ecosystem function, diversity levels on local to regional scales have fallen due to land use change, biotic invasion and many other drivers. While much is known about how each of these factors affects ecosystem functioning, many questions remain. There is also little data on how these issues affe
Lophuromys medicaudatus, L. woosnami, and L. luteogaster are in subgenus Kivumys and woosnami species group. Monotypic. Distribution. Endemic to the Albertine Rift, occurring around Lake Kivu in E DR Congo and Rwanda and SW Uganda (Bwindi). Descriptive notes. Head—body 92-112 mm, tail 73-95 mm, ear 15-19 mm, hindfoot 18-23 mm; weight 29-43 g. Similar to other species in subgenus Kivumys, the Western Rift Brush-furred Rat has unspeckled pelage, and tail ¢.85% of head-body length. Dorsum is uniform dark brown-olive, and venter is orange. Females have three pairs of mammae. Habitat. Mountain swamps and mountain forests at elevations of 1850-2500 m. Food and Feeding. The Western Rift Brush-furred Rat is omnivorous; diets contain 30-100% arthropods, mollusks, seeds, and fruits. Breeding. Female Western Rift Brush-furred Rats can have 1-2 embryos. Pregnant females were observed in February, April, and July. Activity patterns. The Western Rift Brush-furred Rat is terrestrial. Movements, Home range and Social organization. No information. Status and Conservation. Classified as Vulnerable on The IUCN Red List. The Western Rift Brush-furred Rat has never been found in modified secondary environment and is quite rare. Bibliography. Dieterlen (1976b, 1987 2013g), Kasangaki et al. (2003), Verheyen et al. (1996). in Muridae
Lophuromys medicaudatus, L. woosnami, and L. luteogaster are in subgenus Kivumys and woosnami species group. Monotypic. Distribution. Endemic to the Albertine Rift, occurring around Lake Kivu in E DR Congo and Rwanda and SW Uganda (Bwindi). Descriptive notes. Head—body 92-112 mm, tail 73-95 mm, ear 15-19 mm, hindfoot 18-23 mm; weight 29-43 g. Similar to other species in subgenus Kivumys, the Western Rift Brush-furred Rat has unspeckled pelage, and tail ¢.85% of head-body length. Dorsum is uniform dark brown-olive, and venter is orange. Females have three pairs of mammae. Habitat. Mountain swamps and mountain forests at elevations of 1850-2500 m. Food and Feeding. The Western Rift Brush-furred Rat is omnivorous; diets contain 30-100% arthropods, mollusks, seeds, and fruits. Breeding. Female Western Rift Brush-furred Rats can have 1-2 embryos. Pregnant females were observed in February, April, and July. Activity patterns. The Western Rift Brush-furred Rat is terrestrial. Movements, Home range and Social organization. No information. Status and Conservation. Classified as Vulnerable on The IUCN Red List. The Western Rift Brush-furred Rat has never been found in modified secondary environment and is quite rare. Bibliography. Dieterlen (1976b, 1987 2013g), Kasangaki et al. (2003), Verheyen et al. (1996).
Data from: Heritability of seed weight in Maritime pine, a relevant trait in the transmission of environmental maternal effects
Open the record for dataset details and reuse information.
Data to form periodic lossless ternary seeds of maximum weight (Part 2)
<p>Data to form periodic lossless ternary seeds of maximum weight.<br> <br> Detailed information can be found in the GitHub project (https://github.com/vtman/perlotSeeds). Codes to generate periodic blocks (binary and ternary) can also be found there.<br> <br> Binary seeds can have only two symbols (0 = "do not care" = "_" or 1 = "match" = "#"). The length of a seed is the number of its elements, weight of a seed is the number of its 1-elements. The goal is to find seeds of maximum weight, so they can be used when there are two strings with a given number of mismatches. It is observed that in many cases, these seeds of maximum weight have a periodic structure: the same block is repeated multiple times + its remainder. Blocks for binary seeds can be found with the help of the PerFSeeB project (https://github.com/vtman/PerFSeeB). These blocks have the maximum possible weight. <br> <br> In genetics, we have four symbols in sequences (A, C, G, T). However, the chance of having a pointwise mutation is not the same. for any pairs. A <strong>transition</strong> mutation (A ↔ G or C ↔ T) is often twice higher than a <strong>transversion</strong> mutation (A ↔ C, A ↔ T, G ↔ C, G ↔ T). Transition-constrained seeds use ternary alphabet {<strong>#</strong>, <strong>@</strong>, <strong>_</strong>} where <strong>@</strong> is for a match or a transition mismatch. To generate ternary seeds, we first need to generate ternary blocks. These ternary blocks can be found when we use binary blocks. However, we sometimes need to use binary blocks for less than the maximum weight.<br> <br> T4V2.zip and T7V2.zip are in this dataset.</p>
Effect of Weight Loss Diet and Pumpkin Seed Flour Consumption on Obese Women
ClinicalTrials.gov study NCT02086396. IPD Sharing: Not stated. Countries: 1. Publications: 0.
The Effects of Psyllium Seed on Body Weight and Metabolic Syndrome Indicators in Patients with Schizophrenia
ClinicalTrials.gov study NCT06789471. IPD Sharing: NO. Countries: 1. Publications: 0.
Transcriptome analysis of the seed weight plasticity in Brassica napus
GEO Series GSE169511. Brassica napus. 48 samples. Type: Expression profiling by high throughput sequencing.
Characterizing seed weight related genes through transcriptome analyses of wild and cultivated soybeans
GEO Series GSE94366. Glycine max; Glycine soja. 13 samples. Type: Expression profiling by high throughput sequencing.
Effect of Bitter Melon Seed Oil on Body Weight
ClinicalTrials.gov study NCT03785821. IPD Sharing: NO. Countries: 0. Publications: 0.
Paternal imprinting of dosage-effect defective1 contributes to seed weight xenia in maize
GEO Series GSE183304. Zea mays. 9 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy 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.