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.
83
datasets available to search
ShareScore release 0.9.0
Dataset results
83 results for “Green plants”
Plant species list for Niwot Ridge and Green Lakes Valley, 1970 - ongoing.
A plant species list was created for Niwot Ridge and Green Lakes Valley from species identified in those areas by NWT scientists, working primarily at the Saddle and Martinelli sites. Additions to this list included species identified by Komarkova (1979) in the Indian Peaks Wilderness area but not on Niwot Ridge or in the Green Lakes Valley because of the likelihood that those species might exist within the LTER research area. Additions to the list were also provided by Terry Theodose, Leeanne Lestak, Teresa Nettleton, Susan Sherrod, Laura Mujica-Crapanzano (2004), Hope Humphries (2006), and Jane G. Smith (2019-2025). The list was revised to remove duplicate entries, correct typos, and resolve synonymy problems. Species and non-species categories received USDA PLANTS database names and codes.
Grass exposure, mesquite height, and plant greenness at a Jornada Basin LTER sand-sheet site, July and September 2019
Two large wind storms in March and April, 2019 caused severe erosion and exposed the roots of many grass patches in the wind-erodible "sand sheet" of the Jornada LTER. These data are from these wind-affected areas. Field transect measurements of grass cover (line-point intercept, grass plants with exposed roots (1-m belt transect), grass plants with green shoots (1-m belt transect), mesquite (PRGL) height (maximum height of cord on transect for each individual) for 18 transects in the sandy loam "sand sheet" geomorphic surface of Jornada. Also included are histograms of UAV-based measurements of green chromatic coordinate (GCC) and grass patch size (cm2) for individual grass patches within each 1-m belt transect.
Data, Analytical Code, and Model Outputs From: "Green is the New Black: Outcomes of Post-Fire Tree Planting Across the Interior West, USA"
<p>This archive includes data (locations of tree plantings, one-year survival records, remotely sensed canopy cover change), statistical code, and model outputs from Rodman et al. (2024). For more information on specific information, processing methods, and data formats, see "README.md" or "README.html" files associated with this archive</p>
Alpine plant seed microbiomes, germination, and plant-soil feedbacks, Niwot Ridge and Green Lakes Valley, 2018.
Seed and soil microbiomes strongly affect plant performance, and these effects can scale-up to influence plant community structure. However, seed and soil microbial community composition are variable across landscapes, and different microbial communities can differentially influence multiple plant metrics (biomass, germination rate), and community stabilizing mechanisms. We measured how microbiomes inside seeds and in soils varied among alpine plant species and communities that differed in plant species richness and density. Across 10 common alpine plant species, we found a total of 318 bacterial and 128 fungal operational taxonomic units (OTUs) associated with seeds, with fungal richness affected by plant species identity more than sampling location. However, seed microbes had only marginally significant effects on plant germination success and timing. In contrast, soil microbes associated with two different plant species had significant effects on plant biomass, and their effect depended both on the plant species and the location the soils were sampled from.
Large contribution of woody plant expansion to recent vegetative greening of the Northern Great Plains
<p><strong>Aim:</strong> Extensive portions of high-latitude grasslands worldwide have recently experienced increased vegetative productivity (i.e., greening) and have undergone a rapid transition towards woody plant dominance via the process of woody plant expansion (WPE). This raises the underlying question: To what degree are WPE and greening spatiotemporally linked? Given that these vegetative changes are predicted to continue, we seek to understand how recent changes in vegetation extent and productivity have interacted under recent climate change and anthropogenic disturbance to provide insights surrounding the future trajectory of temperate grasslands broadly.</p> <p><strong>Location: </strong>Northern Great Plains (NGP), North America</p> <p><strong>Taxon:</strong> Woody plants</p> <p><strong>Methods:</strong> Greening was measured as the significant increase in three metrics between 2000 and 2019: leaf area index (LAI), annual maximum normalized difference vegetative index (NDVI), and annual mean NDVI. WPE was measured as the significant proportional increase in percent tree cover change between 2000 and 2019 in grasslands. We then examine these variables across a host of 26 potential driving variables.</p> <p><strong>Results:</strong> We show that average proportional greening increased by 0.2-1.3% yr <sup>-1</sup> (depending on metric), and proportional WPE increased by 6.9% yr <sup>-1</sup> since 2000 across the NGP. Both changes are largely driven by the absence of wildfire and changing climate. Furthermore, WPE was spatially coherent and positively associated with a large component of recent greening, as revealed by their coupling across 34.1-40.6% of grassland area and as evidenced by the 9.7-19.7% of the variability in greening explained by WPE.</p> <p><strong>Main conclusions: </strong>WPE and greening are spatiotemporally coupled across large portions of the NGP. Under continued climate change and wildfire suppression, WPE and greening are likely to continue across large swathes of grasslands globally. Furthermore, our results show that using a single greening metric may be insufficient to capture the large-scale vegetative changes such as the expansion of woody vegetation.</p>
Figure 6 in Depth distribution of plant-parasitic nematodes on bentgrass golf greens in Missouri and Indiana
Figure 6: PCR results using Meloidogyne-specific and M. naasi and M. marylandi-specific primers. DL: DNA Ladder; 1: Meloidogyne spp. (DNA ID:9); 2: M. naasi (DNA ID:9); 3: Meloidogyne spp. (DNA ID:4); 4: M. marylandi (DNA ID:4); and 5: Meloidogyne spp.(DNA ID:4).
Figure 3 in Depth distribution of plant-parasitic nematodes on bentgrass golf greens in Missouri and Indiana
Figure 3: PCR results using Hoplolaimus-specific and H. stephanus, H. columbus and H. galeatus-specific primers. DL: DNA Ladder; 1: Hoplolaimus spp. (DNA ID:10); 2: H. stephanus (DNA ID:10); 3: H. columbus (DNA ID:10); 4 H. galeatus (DNA ID:10); 5: Hoplolaimus spp. (DNA ID:3); 6: H. stephanus (DNA ID:3); 7: H. columbus (DNA ID:3); 8 H. galeatus (DNA ID:3); 9: Hoplolaimus spp. (DNA ID:4); 10: H. stephanus (DNA ID:4); 11: H. columbus (DNA ID:4); and 12 H. galeatus (DNA ID:4).
Figure 2 in Depth distribution of plant-parasitic nematodes on bentgrass golf greens in Missouri and Indiana
Figure 2: Phylogeny of the rDNA ITS region of Hoplolaimus spp. isolated from golf putting greens. Phylogenetic trees were constructed with the neighbor-joining algorithm using the Kimura two-parameter model with Litylenchus spp. (LC383724) as the outgroup. Bootstrap values are based on 1000 resamplings of the data set. DNAID codes correlate to Table 2.
Figure 1 in Depth distribution of plant-parasitic nematodes on bentgrass golf greens in Missouri and Indiana
Figure 1: Distribution of plant-parasitic nematode species sampled from creeping bentgrass putting greens in Missouri and eastern Kansas in 2021 and Indiana in 2022 in two independent pie charts. Samples were collected during the months of April, June, August and October of 2021 and 2022, respectively. "n" indicates total PPNs represented within each chart.
Figure 4 in Depth distribution of plant-parasitic nematodes on bentgrass golf greens in Missouri and Indiana
Figure 4: Scanning-electron micrographs of a lance nematode specimen collected form Site 5. A) four lip annules; B) the presence of an epiptygma; C) 25 longitudinal striae on the basal lip annule; and D) four lateral incisures.
Figure 5 in Depth distribution of plant-parasitic nematodes on bentgrass golf greens in Missouri and Indiana
Figure 5: Phylogeny of molecularly characterized Meloidogyne spp. isolated from golf coursed based on D2/D3 28S genes. phylogenetic trees were constructed with the neighborjoining algorithm using the Kimura two-parameter model with Litylenchus spp. (LC383724) as the outgroup. Bootstrap values are based on 1000 resamplings of the data set and displayed near branch nodes. DNAID codes correlate to Table 2.
Text-fig. 3. Green alga of genus Botryococcus – curve occurrence (quantity %) and findings of quillwort microspores in Prášilské Lake (Analysed by E. Břízová). in Quillwort (Isoëtes), A Mysterious Plant From The Czech Republic
Text-fig. 3. Green alga of genus Botryococcus – curve occurrence (quantity %) and findings of quillwort microspores in Prášilské Lake (Analysed by E. Břízová).
Figure 3 in The determination some biological parameters of Phenacoccus madeirensis Green (Hemiptera: Pseudococcidae) on vegetable plants
Figure 3. Survival ratio and life table parameters of Phenacoccus madeirensis on Eggplant (Adana Topağı).
Linked collectors and determiners for: Royal Ontario Museum Green Plant Herbarium (TRT).
Natural history specimen data linked to collectors and determiners held within, "Royal Ontario Museum Green Plant Herbarium (TRT)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/d9522343-146c-4d6b-b312-543d4d8ca0e8">https://bionomia.net/dataset/d9522343-146c-4d6b-b312-543d4d8ca0e8</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/d9522343-146c-4d6b-b312-543d4d8ca0e8">https://gbif.org/dataset/d9522343-146c-4d6b-b312-543d4d8ca0e8</a>. Formatted as a Frictionless Data package.
Data from: One thousand plant transcriptomes and the phylogenomics of green plants
Open the record for dataset details and reuse information.
Data from: Plant community-specific greening patterns predict population size increases in a temperate herbivore
Open the record for dataset details and reuse information.
Large contribution of woody plant expansion to recent vegetative greening of the Northern Great Plains
Open the record for dataset details and reuse information.
Bulk concentration and isotopic information of plant C and N in green leaves and tissues collected from Imnavait watershed during 2003-2005
Changes in total C and N, d13C and d15N, C:N ratio in green leaves and parts of mosses (for sphagnum, both red and green tips were included) over time since 15NH4 addition in Imnavait watershed.
Data from: Norway and Sweden Green Roof (GF) plant data
<p>Standard succulent vegetation mixes developed mostly in temperate climates are being increasingly used on green roofs in different climate zones with uncertain outcome regarding vegetation survival and cover. We investigated vegetation on green roofs at nine temperate, cold and/or wet locations in Norway and Sweden covering wide ranges of latitude, mean annual temperature, annual precipitation, frequencies of freeze-thaw cycles and longest annual dry period. The vegetation on the roofs were surveyed in two consecutive years, and weather data were compiled from meteorological databases. At all sites we detected a significant decline in species compared to originally intended (planted/sown) species. Both the survival rate and cover of the intended vegetation were positively related to the mean annual temperature. Contrary to a hypothesis, we found that intended vegetation cover was negatively rather than positively related to mean annual precipitation. Conversely, the unintended (spontaneous) vegetation was favoured by high mean annual precipitation, and low mean annual temperature, possibly by enabling it to colonise bare patches and outcompete the intended vegetation. When there is high mortality and variation in cover of the intended vegetation, predicting the strength of ecosystem services the vegetation provides on green roofs is difficult. The results highlight the needs for further investigation on species traits and the local factors driving extinction and colonisations in order to improve survivability and ensure a dense vegetation throughout the successional stages of a green roof.</p>
Data from: Shading enhances plant species richness and diversity on an extensive green roof
<p>Green roofs can promote biodiversity in urban areas. The extent to which green roofs stimulate plant diversity can depend on roof characteristics such as roof age, substrate depth and shading. We exploratively studied the vegetation on a Dutch green roof in 50 permanent plots (1 m<sup>2</sup>) over eight years (2012–2019) following roof construction. Plots were situated either on low substrate depth (6 cm light-weight extensive substrate) or high substrate depth (6 cm light-weight extensive substrate topped with 14 cm native soil) and differed in the amount of shading received from a higher building floor. Increased substrate depth and shading additively increased plant species richness and plant diversity, with high shaded plots supporting on average 6.4 more plant species than low unshaded plots. Shading likely acts via reducing drought stress, whereas increasing substrate depth with native soil may also enhance plant diversity via addition of nutrients and native seeds. The vegetation composition on the roof was dynamic and changed over the years. Sedum acre was initially dominant but disappeared within the first years, whereas Sedum kamtschaticum increased and became dominant in the last years. Trifolium arvense was the most abundant forb species and was especially dominant three years after roof construction. We conclude that increased substrate depth and shading can promote plant species richness and diversity and recommend that both aspects are considered when green roofs are designed. Shading can be achieved by a stepped building architecture and by placing structures on the roof itself, such as solar panels on standards.</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.