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.
9,882
datasets available to search
ShareScore release 0.9.0
Dataset results
9,882 results for “Scale”
FIGURE 8 in Towards the identification of the scale insects (Hemiptera: Coccomorpha) of continental Africa: 1. Identification of the families
FIGURE 8. Pseudococcidae adult female morphology, from Williams (2004: 18, Fig. 2), © The Trustees of the Natural History Museum, London. Note dorsal ostiole (A); trochanter with 2 (rarely 3) campaniform sensilla on each surface (B); claw without a basal denticle, with or without plantar denticle (C); cerarii (numbered C1 - C18), and trilocular pores.
FIGURE 15 in Towards the identification of the scale insects (Hemiptera: Coccomorpha) of continental Africa: 1. Identification of the families
FIGURE 15. Asterolecaniidae adult female morphology, modified from Gill (1993: 10, Fig. 7), © California Department of Food & Agriculture, Sacramento, California, U.S.A. Note tubular duct with inner end only slightly cupped and, inner filament not narrow; posterior spiracular furrow not divided; arched anal plate poorly developed or absent; 8-shaped pores present somewhere on body; cribriform plates absent.
FIGURE 3 in Towards the identification of the scale insects (Hemiptera: Coccomorpha) of continental Africa: 1. Identification of the families
FIGURE 3. Monophlebidae adult female morphology, from Williams & Watson (1990: 24, Fig. 5), © CABI, Wallingford, U.K. Note well-spaced antennae with basal segments only moderately enlarged, and each antenna with 8‒11 segments; ovisac band composed of pores; anal opening often distinctly dorsal, simple, not sclerotised; and well-developed mouthparts.
FIGURE 12 in Towards the identification of the scale insects (Hemiptera: Coccomorpha) of continental Africa: 1. Identification of the families
FIGURE 12. Coccidae adult female morphology, from Gill (1993: 7, Fig. 4), © California Department of Food & Agriculture, Sacramento, California, U.S.A. Note well-developed anal cleft, paired triangular anal plates with inner margins usually contiguous, and tubular ducts with cup-shaped inner ends.
FIGURE 11 in Towards the identification of the scale insects (Hemiptera: Coccomorpha) of continental Africa: 1. Identification of the families
FIGURE 11. Stictococcidae adult female morphology, from Williams et al. (2010: 25, Fig. 10), © Magnolia Press, www. mapress.com/j/zt, reproduced with permission. Note anal complex situated at centre of dorsum, with anal opening between anterior and posterior anal plates.
FIGURE 7 in Towards the identification of the scale insects (Hemiptera: Coccomorpha) of continental Africa: 1. Identification of the families
FIGURE 7. Putoidae adult female morphology, from Danzig & Gavrilov-Zimin (2014: 160, Fig. 2.1.1-8). Note dorsal ostiole (A); trochanter with 3 or 4 campaniform sensilla on each surface (B), and claw with plantar denticle (C). Note also that Putoidae often have a pair of denticles on the claw base, and have 9-segmented antennae; 18 pairs of cerarii-like marginal groups of setae; and have trilocular pores, a circulus and ostioles.
FIGURE 14 in Towards the identification of the scale insects (Hemiptera: Coccomorpha) of continental Africa: 1. Identification of the families
FIGURE 14. Aclerdidae adult female morphology, from Gill (1993: 8, Fig. 5), © California Department of Food & Agriculture, Sacramento, California, U.S.A. Note posterior margin with furrows and ridges; legs usually absent; short anal cleft usually present, with a single triangular or oval anal plate situated at anterior end; anal opening leading to an eversible anal tube, inner end with an anal ring bearing 10 or more setae. Mostly found on grasses.
FIGURE. RAxML tree based on a combined dataset of partial LSU and ITS sequence analyses. Bootstrap support values for ML equal to or greater than 60 %, Bayesian posterior probabilities (BYPP) equal to or greater than 0.95 are shown as ML/ BYPP above the nodes. New isolates are in red bold. The tree is rooted to Conioscypha lignicola and Conioschypha minutispora (FMR11245) and Conioscyphascus varius. The scale bar represents the expected number of nucleotide substitutions per site. in Yunnan-Guizhou Plateau: a mycological hotspot
FIGURE. RAxML tree based on a combined dataset of partial LSU and ITS sequence analyses. Bootstrap support values for ML equal to or greater than 60 %, Bayesian posterior probabilities (BYPP) equal to or greater than 0.95 are shown as ML/ BYPP above the nodes. New isolates are in red bold. The tree is rooted to Conioscypha lignicola and Conioschypha minutispora (FMR11245) and Conioscyphascus varius. The scale bar represents the expected number of nucleotide substitutions per site.
FIGURE. Tolypocladium cucullae (HKAS 55588, holotype). a, b. Material of Tolypocladium cucullae. c. Ascostromata. d. Fertile head of ascostroma. e. Vertical section of stroma. f. Peridium. g–j. Asci. k. Apical cap of asci. l–o. Secondary ascospores. Scale Bars: d = 5 mm, e = 100 µm, f = 50 µm, g–j = 200 µm, k, l–o = 20 µm. in Yunnan-Guizhou Plateau: a mycological hotspot
FIGURE. Tolypocladium cucullae (HKAS 55588, holotype). a, b. Material of Tolypocladium cucullae. c. Ascostromata. d. Fertile head of ascostroma. e. Vertical section of stroma. f. Peridium. g–j. Asci. k. Apical cap of asci. l–o. Secondary ascospores. Scale Bars: d = 5 mm, e = 100 µm, f = 50 µm, g–j = 200 µm, k, l–o = 20 µm.
FIGURE. Roussoella pseudohysterioides (GMB0009). a–d. Ascostromata developing on bamboo culm. e, f. Vertical sections of ascostromata. g–j. Asci containing eight ascospores. k. Fragment of ascostromata in KOH without stromatal pigments. l–m. Ascus apex in Melzer's reagent. n–r. Dark brown ascospores. Scale bars: j–r = 10 μm. in Yunnan-Guizhou Plateau: a mycological hotspot
FIGURE. Roussoella pseudohysterioides (GMB0009). a–d. Ascostromata developing on bamboo culm. e, f. Vertical sections of ascostromata. g–j. Asci containing eight ascospores. k. Fragment of ascostromata in KOH without stromatal pigments. l–m. Ascus apex in Melzer's reagent. n–r. Dark brown ascospores. Scale bars: j–r = 10 μm.
FIGURE. Metarhizium guizhouense (GMB0010) (new host record). a, b. Fungus on stick insects (Phasmatodea) c, d. Green mycelium and sporulating conidiophores covered on the surface of inscect. e, f, g. Conidiophores h, i. Conidia on insect host. Scale bars: a, b = 5 mm, c = 2 mm, d = 500 μm, j–r = 10 μm, e–i = 5μm in Yunnan-Guizhou Plateau: a mycological hotspot
FIGURE. Metarhizium guizhouense (GMB0010) (new host record). a, b. Fungus on stick insects (Phasmatodea) c, d. Green mycelium and sporulating conidiophores covered on the surface of inscect. e, f, g. Conidiophores h, i. Conidia on insect host. Scale bars: a, b = 5 mm, c = 2 mm, d = 500 μm, j–r = 10 μm, e–i = 5μm
FIGURE. Helminthosporium velutinum (HKAS 107064, new host record and a new record from Guizhou Province) a–c. Colony on the substrate. d. Conidiophores. e–g. Conidiophore and conidia. h–l. Conidia. m. Germinating conidium. n, o. Culture on PDA from. n. above o. below after 4 weeks. Scale bars: d = 100 μm, e–g =50 μm, h–m = 20 μm. in Yunnan-Guizhou Plateau: a mycological hotspot
FIGURE. Helminthosporium velutinum (HKAS 107064, new host record and a new record from Guizhou Province) a–c. Colony on the substrate. d. Conidiophores. e–g. Conidiophore and conidia. h–l. Conidia. m. Germinating conidium. n, o. Culture on PDA from. n. above o. below after 4 weeks. Scale bars: d = 100 μm, e–g =50 μm, h–m = 20 μm.
FIGURE. Immersidiscosia eucalypti (IFRD 500-20) a. Host leaves. b. Specimen with conidiomata. c. Conidiomata. d. Section of conidiomata. e. Peridium of conidiomata. f–j. Conidia. Scale bars: b = 300 µm, c, e = 100 µm, d = 200 µm, f–j = 10 µm. in Yunnan-Guizhou Plateau: a mycological hotspot
FIGURE. Immersidiscosia eucalypti (IFRD 500-20) a. Host leaves. b. Specimen with conidiomata. c. Conidiomata. d. Section of conidiomata. e. Peridium of conidiomata. f–j. Conidia. Scale bars: b = 300 µm, c, e = 100 µm, d = 200 µm, f–j = 10 µm.
FIGURE. Myrmecridium schulzeri (IFRD500–012) a, b. Colonies on natural substrate. c–e. Conidiophores with conidia. f, g. Conidiogenous cells with conidia. h–l. Conidia. m Germinating conidia on PDA. n, o. Culture on PDA, n. from front, o. from reverse. Scale bars: c–e, h = 20 μm, m = 10 μm, f, g = 5 μm, i–l = 2 μm. in Yunnan-Guizhou Plateau: a mycological hotspot
FIGURE. Myrmecridium schulzeri (IFRD500–012) a, b. Colonies on natural substrate. c–e. Conidiophores with conidia. f, g. Conidiogenous cells with conidia. h–l. Conidia. m Germinating conidia on PDA. n, o. Culture on PDA, n. from front, o. from reverse. Scale bars: c–e, h = 20 μm, m = 10 μm, f, g = 5 μm, i–l = 2 μm.
Data from: Living, dead, and absent trees - How do moth outbreaks shape small-scale patterns of soil organic matter stocks and dynamics at the Subarctic mountain birch treeline?
<p>Mountain birch forests (<i>B. pubescens</i> Ehrh. ssp. <i>czerepanovii</i>) at the subarctic treeline not only benefit from global warming, but are also increasingly affected by caterpillar outbreaks from foliage-feeding geometrid moths. Both of these factors have unknown consequences on soil organic carbon (SOC) stocks and biogeochemical cycles. We measured SOC stocks down to the bedrock under living trees and under two stages of dead trees (12 and 55 years since moth outbreak) and treeless tundra in northern Finland. We also measured in-situ soil respiration, potential SOC decomposability, biological (enzyme activities, microbial biomass), and chemical (N, mineral N, pH) soil properties. SOC stocks were significantly higher under living trees (4.1±2.1 kg m²) than in the treeless tundra (2.4±0.6 kg m²), and remained at an elevated level even 12 (3.7±1.7 kg m²) and 55 years (4.9±3.0 kg m²) after tree death. Effects of tree status on SOC stocks decreased with increasing distance from the tree and with increasing depth, i.e. a significant effect of tree status was found in the organic layer, but not in mineral soil. Soil under living trees was characterized by higher mineral N contents, microbial biomass, microbial activity, and soil respiration compared with the treeless tundra; soils under dead trees were intermediate between these two. The results suggest accelerated organic matter turnover under living trees but a positive net effect on SOC stocks. Slowed organic matter turnover and continuous supply of deadwood may explain why SOC stocks remained elevated under dead trees, despite the heavy decrease in aboveground C stocks. We conclude that the increased occurrence of moth damage with climate change would have minor effects on SOC stocks, but ultimately decrease ecosystem C stocks (49% within 55 years in this area), if the mountain birch forests will not be able to recover from the outbreaks.</p>
Raw data for "Multi-Length Scale Structure of 2D/3D Dion–Jacobson Hybrid Perovskites Based on an Aromatic Diammonium Spacer"
<p>Raw solid-state NMR data (Bruker format), and optical and XRD data (Microsoft Excel format).</p>
Data from: Fine-scale spatial associations between functional traits and tree growth
<p>This data set relates to a 40x60 m2 stem-mapped plot that was established in a temperate rainforest of southern Chile. It contains data for each individual stem located within the plot. Each individual is characterized by a species code, diameter at breast height (dbh, 1.35 m), diameter at coring height (dch, ca. 30 cm), x and y coordinates, basal area index of the last 10 years (bai, cm2), and growth efficiency (ge, cm2/cm2).</p>
Data for Laboratory Observations of Electron Heating and non-Maxwellian Distributions at the Kinetic Scale During Electron-Only Magnetic Reconnection
<p>Simulation data as appearing in the Supplementary of the paper titled "Laboratory Observations of Electron Heating and non-Maxwellian Distributions at the Kinetic1Scale During Electron-Only Magnetic Reconnection".</p>
Data-Error Scaling Laws in Machine Learning on Combinatorial Mutation-prone Sets: Proteins and Small Molecules
<div> </div> <h3>Data</h3> <p> This folder contains the raw data used during this work. `out_seq_total.txt` contains information on the sequences used (mutations, number of mutations, etc.). `output_energies_total.txt` contains the response variables, which include: a) unrelaxed EvoEF energies (peptides); b) relaxed EvoEF energies (peptides, `*_repaired.txt`); and c) solvation energies (molecules). 3D structures are provided in `.xyz` format in the subfolder `XYZ` (molecules).</p> <div> <div><strong>GB1 dataset</strong></div> <br> <div>The GB1 dataset was <strong>not</strong> generated by us (https://doi.org/10.48550/arXiv.2405.05167). If you use the GB1 dataset, please cite the original paper:</div> <br> <div>Wu, N. C., Dai, L., Olson, C. A., Lloyd-Smith, J. O., & Sun, R. (2016). <em>Adaptation in protein fitness landscapes is facilitated by indirect paths. </em><strong>eLife</strong>, 5:e16965. doi:10.7554/eLife.16965</div> </div> <h3>Results</h3> <p>This folder contains the results (outputs) of the ML models trained using the provided scripts (see github repository). Such results are incuded in the form of `.npy` files. To load the files please include the option `allow_pickle=True`.</p> <p> Each `.npy` file contains the following keys:<br> * `initial_parameters`: script inputs.<br> * `d_encoder`: encoder used (not always included).<br> * `ns_train`: number of training points used for the LCs (rounded, integers).<br> * `ns_train_float`: number of training points used for the LCs (not rounded, float).<br> * `ns_train_norm`: number of training points used for the LCs (normalized, float).<br> * `res`: test MAEs.<br> * `res_tot`: (train,validation,test) MAEs.<br> * `res_tot_mut`: (train,validation,test) MAEs sorted by mutation number.<br> * `l_opt`: optimal kernel length used during the test.<br> * `ls`: kernel lengths used for grid search.<br> * `idx_seeds`: indices used to reshuffle the data. If one want to rebild the initial order use `np.argsort(idx_seeds)`.<br> * `alpha_opt`: optimal regression parameters used to calculate the test error. To sort the data use `alpha_opt[i][ii][np.argsort(idx_seeds[ii,0:arg_train_max].astype(int)[:ns_train[i]]`. Where `i` is the replicate number (0-99) and ii is the idex in the LC.<br> * `valid_errs`: validation error (MAE) calculated for each point in the hyperparameter (kernel scale) optimisation.<br> * `test_errs`: test error (MAE) calculated for each point in the hyperparameter (kernel scale) optimisation.</p>
35 Block--63k or 50k scale Maps of South Asia
<p>90 maps of the Survey of India and/or the Survey of Pakistan covering block 35.</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.