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.
47
datasets available to search
ShareScore release 0.9.0
Dataset results
47 results for “Plant parameters”
Data for :Nitrogen availability in digestates from full-scale biogas plants following soil application as affected by operation parameters and input feedstocks
<p>This archive contains data for the paper "Nitrogen availability in digestates from full-scale biogas plants following soil application as affected by operation parameters and input feedstocks". Obtained from a soil incubation experiment for 80 days.</p><p> </p>
New woody plant functional types and parameters for the SAVANNA ecosystem model
<p>New woody plant functional types (PFTs) are defined and parameterised for use in the SAVANNA ecosystem model (Coughenour, 1992, 1993). Supplementary material used in creating the PFTs and parameters are included. Details of the methods are available from the authors on request. The new woody PFTS are defined in terms of growth form, leaf size and defences in relation to large mammal herbivores.</p> <p>1. shrub types are <4 m (Zizka et al., 2014),</p> <p>2. fine-leaf types have bipinnate leaves with leptophyllous- or nanophyllous-sized leaflets (<225 mm2) according to Raunkaier’s leaf size classes (Fuller and Bakke, 1918) given that leaflets of compound leaves are separate morphological units analogous to simple leaves (Milla, 2012; Mo et al., 2022),</p> <p>3. high chemical defence investment (CDI) types have either nitrogen:acid detergent fibre (N:ADF) <0.10 (Wallis et al., 2012) or condensed tannin (CT) >5% (Cooper and Owen-Smith, 1985) when expressed in sorghum tannin or leucocyanidin equivalents as determined by the acid-butanol assay,</p> <p>4. all types, except fine_highcdi and fine_lowcdi, have the square-root of Charles-Dominique et al.'s (2017) "investment in structural defence" (ISD) < 13.</p>
The role of the intraspecific variability of hydraulic traits for modelling the plant water use in different European forest ecosystems: scripts, model output, and parameter files
<p>This repository contains the model outputs and R scripts used to process the data to analyze the impact of the plant hydraulic parameterization of the manuscript: "The role of the intraspecific variability of hydraulic traits for modelling the plant water use in different European forest ecosystems". The following is a detailed description of the content of this repository:</p> <p>model_output.zip: This compressed file contains the results of all the individual numerical experiments per experimental site as produced by the Comunity Land Model version 5. The files are stored in NETCDF format per year. The folder is arranged with subfolders containing the individual results from each experimental site as follows:</p> <ul> <li>rc: model output with the results of the resistant configuration of experiment 1 (RC)</li> <li>vc: model output with the results of the vulnerable configuration of experiment 1 (VC)</li> <li>k_dc: model output with the results of the default configuration used for experiments 1 and 2 (DC or DC<em>k</em><sub>max</sub>)</li> <li>k_rc: model output with the results of the low plant hydraulic conductance (L<em>k</em><sub>max</sub>) for experiment 2</li> <li>k_irc: model output with the results of the intermediate low plant hydraulic conductance (IL<em>k</em><sub>max</sub>) for experiment 2</li> <li>k_vc: model output with the results of the high plant hydraulic conductance (H<em>k</em><sub>max</sub>) for experiment 2</li> <li>k_ivc: model output with the results of the intermediate high plant hydraulic conductance (IH<em>k</em><sub>max</sub>) for experiment 2</li> <li>k_iirc: model output with the results of the additional intermediate low plant hydraulic conductance (IIL<em>k</em><sub>max</sub>) for experiment 2</li> <li>ko_dc: model output with the results of the best <em>k</em><sub>max</sub> and the default configuration of the PVC used in experiment 3</li> <li>ko_rc: model output with the results of the best <em>k</em><sub>max</sub> and the resistant configuration of the PVC used in experiment 3</li> <li>ko_vc: model output with the results of the best <em>k</em><sub>max</sub> and the vulnerable configuration of the PVC used in experiment 3</li> </ul> <p>The scripts were written for use in RStudio, and each contains a detailed description of the data requirements and outputs. Each script was developed to read directly the netcdf files of the model output and the csv files containing the transpiration estimates calculated from the SAPFLUXNET per experimental site (script 1).</p>
Figure 2 in Assessing predation parameters of the predatory mite Typhlodromus bagdasarjani (Acari: Phytoseiidae) on different host plants
Figure 2. Age-stage-specific predation rate (cxj) of predatory mite Typhlodromus bagdasarjani fed on immature stages of Tetranychus urticae on different host plants.
Figure 1 in Assessing predation parameters of the predatory mite Typhlodromus bagdasarjani (Acari: Phytoseiidae) on different host plants
Figure 1. The age-specific survival rate (lx), age-specific predation rate (kx), age-specific net predation rate (qx) of predatory mite Typhlodromus bagdasarjani fed on immature stages of Tetranychus urticae reared on different host plants.
R_JAGS code for estimation and analysis of species-area-relationship (SAR) parameters from NEON (National Ecological Observatory Network) data on plant surveys
<p><span>Invasive species science is heavily geared toward the invasive agent. </span>However, management to protect native species also requires a proactive approach focused on understanding the features affecting community vulnerability to invasion impacts<span>. </span><span>Vulnerability </span><span>is likely the result of </span><span>factors acting across spatial scales, from </span><span>local to regional, and it is the combined effects of these factors that will determine the magnitude of vulnerability.</span><span> We introduce an analytical framework that quantifies the scale-dependent impact of biological invasions from the shape of the native species-area-relationship (SAR). We leverage newly available, biogeographically extensive vegetation data from the US National Ecological Observatory Network to assess plant community vulnerability to invasion impact as a function of factors acting across scales. We analyzed more than 1000 SARs widely distributed across the USA along environmental gradients and under different levels of invasion. </span>Results show that a decrease in native richness is consistently associated with invasive species cover<span>, but it is only at relatively high levels of invasion that native richness is compromised. After accounting for variation in baseline ecosystem diversity, net primary productivity, and human modification, ecoregions that are colder and wetter seem to be most vulnerable to losses of native plant species at the local level, while warmer and wetter areas seem most susceptible at the landscape level. We also document how the combined effects of cross-scale factors result in a heterogenous spatial pattern of vulnerability. </span><span>This pattern </span><span>cannot be predicted by analyses at any single scale, underscoring the importance of accounting for factors acting across scales. Simultaneously assessing differences in vulnerability between distinct plant communities at local, landscape and regional scales provided outputs that can be used to inform policy and management aimed at reducing vulnerability to the impact of plant invasions.</span></p>
Supporting data sets for "Estimating Carbon Fixation of Plant Organs for Afforestation Monitoring using a Process-based Ecosystem Model and Ecophysiological Parameter Optimization". (the survey of tree breast diameter and tree height in 11-year old Eucommia ulmoides plantation, values of simulation results used in figures and tables.)
<p>Supporting data sets for Miyauchi et al., Ecology and Evolution, 2019 (accepted).</p> <p>The files store: </p> <p>(1) The survey of tree breast diameter and tree height in <em>Eucommia ulmoides</em> plantation<em>.</em> The ring and stem analysis and dry weight of seven harvested sample trees in the plantation.</p> <p>(2) Values of optimization result used fig.7.</p> <p>(3) Values of prediction result used fig.8. and table 4.</p> <p>(4) Values of optimized parameters by optimization methods, parameter range and constrain.</p>
Figure 3 in Morphology of immature stages, biological parameters and life table of Microtechnites bractatus (Hemiptera: Miridae) on different host plants
Figure 3 Average survival of Microtechnites bractatus nymphs fed with alfalfa, white clover, potato, wheat, and beans under laboratory conditions (25 ± 2°C, photoperiod 12L:12D). *Lines followed by different letters differ from each other by the paired Mentex-Cox test (Log Rank) (df=1, p<0.05).
Figure 2 in Morphology of immature stages, biological parameters and life table of Microtechnites bractatus (Hemiptera: Miridae) on different host plants
Figure 2 Five nymphal instars of Microtechnites bractatus: (A) first instar; (B) second instar; (C) third instar; (D) fourth instar; (E) fifth instar reduced wing pads for adult brachypterous (female); (F) elongated fifth-instar wing pads for adult macropterous (male).
Figure 1 in Morphology of immature stages, biological parameters and life table of Microtechnites bractatus (Hemiptera: Miridae) on different host plants
Figure 1 Eggs of Microtechnites bractatus oviposited on bean plants,Phaseolus vulgaris L. (A) egg recently oviposited and removed from the plant; (B) seven-day-old egg removed from the plant; (C) newly oviposited eggs; (D) eggs after seven days of oviposition.
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).
Fig. 1 in Impact of host plant resistance on emergence, body parameters, and supercooling point of Cylas formicarius elegantulus (Coleoptera: Brentidae)
Fig. 1. Daily (Mean ± SE) sweetpotato weevil emergence 30 d afer oviposition from individual storage roots of sweetpotato cultivars 'Beauregard,' 'Evangeline,' and 'Murasaki.'
Fig. 7 in A study of Cactoblastis cactorum (Lepidoptera: Pyralidae) in its native range: further insights into life cycle, larval identification, developmental parameters, natural enemies, and damage to the host plant Opuntia ficus-indica (Caryophyllales: Cactaceae)
Fig. 7. Comparison of 3 characteristic forms of damage: (a) hole and feces coming from inside the pad, useful to distinguish pads with Cactoblastis cactorum; (b) typical damage observed in plants that were attacked by C. cactorum; (c) circular black spot fungal damage; (d) map black spot fungal damage.
Fig. 6 in A study of Cactoblastis cactorum (Lepidoptera: Pyralidae) in its native range: further insights into life cycle, larval identification, developmental parameters, natural enemies, and damage to the host plant Opuntia ficus-indica (Caryophyllales: Cactaceae)
Fig. 6. Proportion of Cactoblastis cactorum infected cladodes parasitized by Apanteles opuntiarum and proportion per cladode of C. cactorum larvae parasitized by A. opuntiarum throughout the yr for sites from Santiago del Estero, Córdoba, and Tucumán provinces. The average and standard deviation of the number of pupae of A. opuntiarum per C. cactorum larvae also is shown.
Fig. 2 in A study of Cactoblastis cactorum (Lepidoptera: Pyralidae) in its native range: further insights into life cycle, larval identification, developmental parameters, natural enemies, and damage to the host plant Opuntia ficus-indica (Caryophyllales: Cactaceae)
Fig. 2. Description of spots and setae from larval I to VI, shown in the pro- and meso-thoracic segment, and the seventh and anal abdominal segments: D1–2: dorsal setae; SD1–2: subdorsal setae; XD1–2: prothoracic setae; L1–3: lateral setae; SV1–2: subventral setae; PP1: posterior setae; spot "k" in prothorax, "h" in mesothorax, "a" and "c" in the seventh abdominal segment, and anal shield in the tenth and last abdominal segment.
Fig. 5 in A study of Cactoblastis cactorum (Lepidoptera: Pyralidae) in its native range: further insights into life cycle, larval identification, developmental parameters, natural enemies, and damage to the host plant Opuntia ficus-indica (Caryophyllales: Cactaceae)
Fig. 5. Number of larvae of Cactoblastis cactorum per mo from all sites of Tucumán and the proportion of those that were parasitized by Apanteles.
Fig. 1 in A study of Cactoblastis cactorum (Lepidoptera: Pyralidae) in its native range: further insights into life cycle, larval identification, developmental parameters, natural enemies, and damage to the host plant Opuntia ficus-indica (Caryophyllales: Cactaceae)
Fig. 1. (a) An eggstick oviposited on a pad of Opuntia ficus indica; (b) Anterior part of the larva exhibiting the cephalic capsule and prothorax starting to sclerotize; (c) Larva II has a dark shield on the prothorax and small macula at the base of each setae in the abdomen; (d) Larva III with bigger maculae with alternating color intensity on successive segments; (e) Larva IV with a white line between the head capsule and prothorax shield; (f) Larva V characterized by almost continuous black rings on the abdomen on an orange-brownish back- ground; (g) Typical bright orange larval VI with the prothorax shield fractured in 2 and apparently continuous black rings; (h) pupa within silk cocoon and naked pupa; Cactoblastis cactorum females (lef) and males (right); females have longer palps (i) than males (j). Both genders are characterized by a transverse line in the distal part of the wings (k, l).
Fig. 3 in A study of Cactoblastis cactorum (Lepidoptera: Pyralidae) in its native range: further insights into life cycle, larval identification, developmental parameters, natural enemies, and damage to the host plant Opuntia ficus-indica (Caryophyllales: Cactaceae)
Fig. 3. Proportion of individuals of different developmental stages of Cactoblastis cactorum in Tucumán throughout the year. Inside the bars: E = eggsticks, L = larvae, P = pupae.
Figure 3 in Development, reproduction and life table parameters of Tetranychus turkestani (Acari: Tetranychidae) on three different host plants
Figure 3 Age-stage-specific life expectancy (exj) of Tetranychus turkestani on: a. cowpea, b. white bean, c. red bean.
Figure 2 in Development, reproduction and life table parameters of Tetranychus turkestani (Acari: Tetranychidae) on three different host plants
Figure 2 Age-specific survival rate (lx), fecundity (mx) and maternity l (x mx) of Tetranychus turkestani on: a. cowpea, b. white bean, c. red bean.
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.