Find research datasets worth reusing

Fig. 4 in Physiological Responses Of Rare Coastal Salt Marsh Plant Triglochin Maritima L. To Soil Chemical Heterogeneity

Fig. 4. Time-course of Peformance Index (A) and chlorophyll concentration (B) in leaves of T. maritima plants grown in different substrates.

Fig. 7 in Physiological Responses Of Rare Coastal Salt Marsh Plant Triglochin Maritima L. To Soil Chemical Heterogeneity

Fig. 7. Correlation between summary Na + K concentration and extract EC in leaves (A) and roots (B) of T. maritima plants.

Fig. 1 in Physiological Responses Of Rare Coastal Salt Marsh Plant Triglochin Maritima L. To Soil Chemical Heterogeneity

Fig. 1. Effect of treatment type on soil electrical conductivity (A) and pH (B) after 8 weeks of cultivation.

Fig. 5 in Physiological Responses Of Rare Coastal Salt Marsh Plant Triglochin Maritima L. To Soil Chemical Heterogeneity

Fig. 5. Time-course of Na+ (A), K+ (B) and Ca2+ concentration in leaves of T. maritima plants grown in different substrates.

Fig. 6 in Physiological Responses Of Rare Coastal Salt Marsh Plant Triglochin Maritima L. To Soil Chemical Heterogeneity

Fig. 6. Effect of treatment type on Na+ (A) and K+ (B) concentration in roots of T. maritima plants after 8 weeks of cultivation.

opencc-by-4.0Jul 2024View details →

Uranium-series disequilibria in MORB, revisited: A systematic numerical approach to partial melting of a heterogeneous mantle

This directory includes all of the gridded run results for each melting scenario for this paper, organized into approx. 50 supplementary figures with a series of activity ratio diagrams.

Figure 4 in Dung beetle conservation in a heterogeneous landscape of the Maputaland Centre of Endemism

Figure 4. Contribution of each spatial component (habitat and patch size) to total species numbers sampled in the entire reserve (gamma diversity, n = 61 species); alpha (α) = diversity contributed by study sites; beta (β1) = diversity between study sites; beta (β2) = diversity between habitats. Proportions contributed by alpha and beta diversity are shown by the divisions within the bars whereas numbers of species are shown inside the bars (see methods). DF = dune forest; SF-L, SF-M, SF-S = large, medium and small sand forest patches; G = grassland.

Figure S1 in Dung beetle conservation in a heterogeneous landscape of the Maputaland Centre of Endemism

Figure S1. Rarity index values for each species ranked from highest to lowest. Dotted lines show rare species found at up to two sites and indicate the high proportion of the total species (~60%) found at eight sites or less (key to blocks of species numbers in Table S1; species in bold biased to grassland occurrence).

Figure 3 in Dung beetle conservation in a heterogeneous landscape of the Maputaland Centre of Endemism

Figure 3. Box plots comparing number of species (A) and abundance (B) in each habitat type (DF = dune forest, SF-L, SF-M, SF-S = large, medium and small sand forest patches, G = grassland). Within each box, the mid-line represents the median whereas the lower and upper extents of the box represent the interquartile range Q1 = 25th percentile and Q3 = 75th percentile, respectively. Whiskers are minimum and maximum values. Black points represent outliers. Different letters indicate statistical differences at P <0.05.

Figure 2 in Dung beetle conservation in a heterogeneous landscape of the Maputaland Centre of Endemism

Figure 2. Frequency distribution for proportions of species recorded at 32 study sites in MSR (n = 4 in dune forest; n = 7 in grassland and each of three patch sizes of sand forest). Dotted lines delineate the relative incidence of rar- er species at study sites. Note that a high percentage of the total species are found only in 25% of the sampled sites. See Figure S1 for values of the species rarity index.

Figure 1. A in Dung beetle conservation in a heterogeneous landscape of the Maputaland Centre of Endemism

Figure 1. A, map outlining the study area and showing the position of Maputo Special Reserve (MSR) in relation to land usage in the surrounding area of southeast Mozambique and northeast KwaZulu-Natal, South Africa (nature and game reserves are marked by green and yellow, darker grey outlines the Lubombo Conservancy, unprotected areas are pale grey, Indian Ocean, inlets and lagoons are blue) (redrawn from Peace Parks Foundation 2020); B, position of sampling localities in MSR plotted onto Google Earth; L1–L7 = study sites at each locality in large, medium and small sand forest patches plus grassland; L8, DF1–DF4 = dune forest study sites. Position of most forest sites was measured at the point of entry as the GPS could not detect satellites under the canopy.

opencc-by-4.0Jan 2020View details →

Fig. 1 in Data storage and data re-use in taxonomy-the need for improved storage and accessibility of heterogeneous data

Fig. 1 (a) Sp_ci_s d_scriptions p_r d_cad_ in s_l_ct_d major groups of organisms (bas_d on data _xtract_d from th_ Int_rnational Plant Nam_s Ind_x (https://www.ipni.org/) for plants, MycoBank (http://www. mycobank.org/) for fungi, Ind_x of Organism Nam_s (http://www. organismnam_s.com/) for ins_cts, and compil_d from various databas_s for v_rt_brat_s: Eschm_y_r Catalog for fish_s (https://www.calacad_my. org/sci_ntists/proj_cts/_schm_y_rs-catalog-of-fish_s), th_ Amphibian Sp_ci_s of th_ World for amphibians (http://r_s_arch.amnh.org/vz/ h_rp_tology/amphibia/), R_ptil_ Databas_ for r_ptil_s (http://www. r_ptil_-databas_.org/), Howard and Moor_ Databas_ (https://www. howardandmoor_.org/) for birds, and ASM Mammal Div_rsity Databas_ (https://mammaldiv_rsity.org/) for mammals, all acc_ss_d in April 2019. Not_ that data for fungi and v_rt_brat_s r_f_r to curr_ntly acc_pt_d sp_ci_s nam_s only wh_r_as ins_ct data also includ_ synonyms and subsp_ci_s, and contain data gaps for s_v_ral d_cad_s in th_ nin_t__nth c_ntury; for all taxa, th_ low valu_s obtain_d for th_ last

Fig. 4 in Spatial heterogeneity in macroinvertebrate density from Lake Hövsgöl, Mongolia

Fig. 4. Mean (±1 SE) density of individual macroinvertebrate taxa from bays in Lake Hövsgöl. Bars with different letters are significantly different (PṤ0.05).

Fig. 3 in Spatial heterogeneity in macroinvertebrate density from Lake Hövsgöl, Mongolia

Fig. 3. Mean (±1 SE) density of total macroinvertebrates from bays in Lake Hövsgöl. Bars with different letters are significantly different (PṤ0.05).

Fig. 2 in Spatial heterogeneity in macroinvertebrate density from Lake Hövsgöl, Mongolia

Fig. 2. Double dendrogram of major macorinvertebrate taxa and study bays in Lake Hövsgöl based on hierarchical cluster analysis.

Fig. 1 in Spatial heterogeneity in macroinvertebrate density from Lake Hövsgöl, Mongolia

Fig. 1. Map of Lake Hövsgöl, Mongolia. Letters denote bay sites listed in Table 1. A (Har Us). B (UBWS). C (Borsog). D (Baavgai Tolgoi). E (Heegster). F (UBES).

opencc-by-4.0Oct 2021View details →

Fig. 3 Canonical correspondence analysis. Only axes 1 and 2 are shown. Type 2 in Evaluating the correlation between area, environmental heterogeneity, and species richness using terrestrial isopods (Oniscidea) from the Pontine Islands (West Mediterranean)

Fig. 3 Canonical correspondence analysis. Only axes 1 and 2 are shown. Type 2 scaling is shown. A right-angled projection of a point representing a response variable (ecological categories of species) onto an arrow representing an explanatory variable (biotope type)

opencc-by-4.0Oct 2021View details →

Fig. 2 in Evaluating the correlation between area, environmental heterogeneity, and species richness using terrestrial isopods (Oniscidea) from the Pontine Islands (West Mediterranean)

Fig. 2 Path analysis model. In this model, species richness (S) is the dependent variable. Area (A) and environmental heterogeneity (H) can have a direct effect on S, whereas A can also have an effect on H. The indicators used for A and S are the log-transformed area in square kilometres (LogA) and the number of species (LogS). Different indicators were used for environmental heterogeneity (B, LogB, Shannon, and 1-D, see main text). The symbols bAS, bAH, and bHS indicate the partial standardised regression coefficients

opencc-by-4.0Feb 2018View details →

Research data supporting "Raman spectroscopic imaging for quantification of depth-dependent and local heterogeneities in native and engineered cartilage"

Research data supporting the publication: Albro M. et al., 2018, npj Regenerative Medicine, DOI: https://doi.org/10.1038/s41536-018-0042-7.