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.
373
datasets available to search
ShareScore release 0.9.0
Dataset results
373 results for “herbaceous”
MODIS-derived Aggregate, Woody and Herbaceous Leaf Area Index for Africa, 2002-2022
This dataset provides leaf area index (LAI) estimates for Sub-Saharan Africa for woody, herbaceous, and aggregate vegetation types. The estimates were derived from Moderate Resolution Imaging Spectroradiometer (MODIS) Level 4 and the native MODIS LAI product (MCD15A2H Version 6.1), which provides LAI measurements every 8 days at 500-m pixel size. Data from the MCD15A2H product were processed further to generate three layers including: a smoothed and gap filled LAI layer referred to as aggregate leaf area index and two additional layers processed to separate woody LAI (tree and shrubs) and herbaceous LAI (grass and forbs). The data include 31 MODIS 10-degree tiles and cover 2002 to 2022. The data are provided in NetCDF format.
Identification of genes associated with biosynthesis of unsaturated fatty acid and oil accumulation in herbaceous peony 'Hangshao' (Paeonia lactiflora 'Hangshao') seeds based on transcriptome analysis
GEO Series GSE151746. Paeonia lactiflora. 9 samples. Type: Expression profiling by high throughput sequencing.
A new global hybrid map of annual herbaceous cropland at a 500 m resolution for the year 2019: Accompanying file.
<p>The zip file contains the map accompanying the publication "A new global hybrid map of annual herbaceous cropland at a 500 m resolution for the year 2019" (in submission).<br><br>The hybrid map of global cropland extent has a 500 m resolution and was created by fusing two of the latest high resolution remotely sensed cropland products: the European Space Agency’s WorldCereal and the cropland layer from the University of Maryland.<br><br>The data set used for the validation of this map is <a href="../doi/10.5281/zenodo.11517295" target="_blank" rel="noopener">available here</a>.<br><br></p>
Figure 5 from: Sukhorukov AP, Kushunina M (2016) Taxonomic revision and distribution of herbaceous Paramollugo (Molluginaceae) in the Eastern Hemisphere. PhytoKeys 73: 93-116. https://doi.org/10.3897/phytokeys.73.10365
Figure 5 - Distribution of Paramollugo simulans (triangles) and Paramollugo elliotii (dots).
Figure 1 from: Sukhorukov AP, Kushunina M (2016) Taxonomic revision and distribution of herbaceous Paramollugo (Molluginaceae) in the Eastern Hemisphere. PhytoKeys 73: 93-116. https://doi.org/10.3897/phytokeys.73.10365
Figure 1 - Distribution of Paramollugo nudicaulis in the Eastern Hemisphere.
Figure 4 from: Sukhorukov AP, Kushunina M (2016) Taxonomic revision and distribution of herbaceous Paramollugo (Molluginaceae) in the Eastern Hemisphere. PhytoKeys 73: 93-116. https://doi.org/10.3897/phytokeys.73.10365
Figure 4 - Holotype of Paramollugo simulans sp. nov. (K!).
Figure 6 from: Sukhorukov AP, Kushunina M (2016) Taxonomic revision and distribution of herbaceous Paramollugo (Molluginaceae) in the Eastern Hemisphere. PhytoKeys 73: 93-116. https://doi.org/10.3897/phytokeys.73.10365
Figure 6 - Holotype of Paramollugo elliotii sp. nov. (P04582888!).
Figure 2 from: Sarkinen T, Knapp S (2016) Two new non-spiny Solanum (Solanaceae) from the Gran Chaco Americano and a key for the herbaceous glandular-pubescent solanums from the region. PhytoKeys 74: 19-33. https://doi.org/10.3897/phytokeys.74.10159
Figure 2 - Distribution map of Solanum michaelis.
Figure 4 from: Sarkinen T, Knapp S (2016) Two new non-spiny Solanum (Solanaceae) from the Gran Chaco Americano and a key for the herbaceous glandular-pubescent solanums from the region. PhytoKeys 74: 19-33. https://doi.org/10.3897/phytokeys.74.10159
Figure 4 - Distribution map of Solanum woodii.
Beneath the mistletoe: parasitized trees host a more diverse herbaceous vegetation and are more visited by rabbits
<p>Data from "Beneath the mistletoe: parasitized trees host a more diverse herbaceous vegetation and are more visited by rabbits" publication.</p>
Dataset and Analyses for manuscript: "Counteracting effects of soil biota on emergence and growth of herbaceous plants"
<p>Dataset and analyses for manuscript: "Counteracting effects of soil biota on emergence and growth of herbaceous plants"</p>
Fig. 5 in Characterization of phytochemicals in the roots of wild herbaceous peonies from China and screening for medicinal resources
Fig. 5. Variations in the five metabolite categories between the four groups (mean ± SD). Different letters above error bars indicate significant differences (p <0.05).
Data from: How arbuscular mycorrhizal fungi drives herbaceous plants' C: N: P stoichiometry?
<p>Plant element stoichiometry is fundamental for preserving growth-related terrestrial ecosystem structures and functions. However, effects of arbuscular mycorrhizal fungi (AMF) on herbaceous plant element stoichiometry (carbon (C), nitrogen (N), and phosphorus (P)) remain unclear. In this study, we aimed at evaluating the potential effects of AMF on herbaceous plant C, N and P concentration and their C:N:P stoichiometry worldwide through a quantitative meta-analysis. We observed that AMF reduced C:P and N:P ratios in the shoot of plants by 35.83% and 54.23%, respectively, and in plant root organs by 36.24% and 46.35%, respectively. Conversely, C:N ratios increased in roots by 6.61%. The negative effect of AMF on N:P and C:P ratios in plant shoots and root organs is mainly attributed to the plant benefits in P and N concentrations. AMF impact on plant C:N:P stoichiometry depends on fungal and plant functional group identities and soil nutrient availability. Our results suggest that plant functional group identity affects plant nutrient concentration, which, in turn, controls herbaceous plant C:N:P stoichiometry. Also, we emphasize the importance of abiotic and biotic environmental factors in changing AMF effects on plant element stoichiometry. Therefore, clarifying the relationship between AMF and herbaceous plant C:N:P stoichiometry will improve our understanding of herbaceous plant stoichiometric variations in terrestrial ecosystems.</p>
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.