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5,828 results for “Traits”
Bird species trait data in Kilimanjaro
<p>This dataset was compiled by Stefan Ferger based on own observations and a literature survey. The dataset lists all bird species that have been observed by Stefan Ferger at Mount Kilimanjaro and/or of which published records are available. It further lists some of the species' traits that have also been extracted from the literature. The literature survey (and therefore the species list) is, however, incomplete, as several publication have not been screened yet.</p> <p>The KiLi project (2010-2018) is a German Science Foundation (DFG) funded research unit (DFG research unit FOR1246) that focuses on biodiversity and ecosystem processes along altitudinal and disturbance gradients on Mt. Kilimanjaro (Tanzania, Africa), capitalizing on its world-wide unique range of climatic and vegetation zones. The research unit comprises 2 central projects and 7 subprojects from various disciplines. On a total of 60 study sites in both natural and human-disturbed ecosystems biodiversity (e.g. plants, soil arthropods, ants, bees, frogs, lizards, bats, birds), related ecosystem processes (decomposition, seed dispersal, pollination, herbivory, predation), and biogeochemical processes and properties of ecosystems (climate, soil properties and nutrient status, regulation of water and carbon fluxes, trace gas emissions, primary productivity, functional diversity) are analyzed.</p>
Ecological and Forest Inventory of Catalonia: Complete Plant Trait Dataset for Imputation Assessment
<p>Plant trait and forest data were retrieved from the Ecological and Forest Inventory of Catalonia (IEFC), carried out between 1988 and 1998 (Gracia et al. 2000‒2004). The subset of the IEFC was limited to 13 study species. Forest structure, lithology and sampling information for each plot were retrieved from the IEFC database. Climate data were obtained from the Climatic Digital Atlas of Catalonia, with a spatial resolution of 180 m (Ninyerola et al. 2000).</p> <p>We selected five plant traits (leaf mass per area, LMA, mg cm<sup>-2</sup>; leaf nitrogen per unit mass, <em>N</em><sub><em>mass</em></sub>, %mass; maximum tree height, <em>H</em><sub><em>max</em></sub><em>,</em><sub><em> </em></sub>m; wood density, WD, gm cm<sup>-3</sup>; leaf biomass to sapwood area ratio, <em>B</em><sub><em>L</em></sub><em>:A</em><sub><em>S</em></sub>, t m<sup>-2</sup>) that are used to describe major plant functional strategies. The auxiliary variables we considered were species identity, a set of climatic variables (mean annual temperature, annual thermal amplitude, both in °C), a set of forest structure variables (total aboveground biomass [T ha<sup>-1</sup>] and stem density [stems ha<sup>-1</sup>]), a set of topographical variables (county, elevation [m.a.s.l.], slope [°] and aspect), lithology (calcareous, non-calcareous or undetermined) and sampling month.</p>
Genome-wide association meta-analysis of 30,000 samples identifies seven novel loci for quantitative ECG traits
<p><strong>Introduction</strong></p> <p>These are the <em>Summary Level-data</em> as presented in:</p> <p>"Genome-wide association meta-analysis of 30,000 samples identifies seven novel loci for quantitative ECG traits". Eur J Hum Genet. 2019 Jan 24. doi: 10.1038/s41431-018-0295-z.<em> [Epub ahead of print]</em></p> <p>If you use these data please cite the corresponding manuscript, which can be downloaded here: <a href="http://em.rdcu.be/wf/click?upn=lMZy1lernSJ7apc5DgYM8eFz0euOx0-2B13Abimi4Sb0A-3D_2NNavOiAD9A7CPFnsa04dGla3sU002fLfkDtL-2FhGlad0GuoM-2B3OlDb0C5GiEhwIvtH7ba4KKF45ipTOFodx6CqvVvoP2GQ992sPGoV9ZPWIe04tUd8-2BGWey0In0TXPII5zK-2Bfp8Wk9TpEqEcSd-2BEmywqZc8o5TW4xGPXZqmchfUH8chy3P4SEtpzHXMG1LwsIYrKfwegqTXG85RAJPr-2B21Tk9SobtpvFs0frMkJ4ekKsl33ryoZfFPk1byjQunJYn4-2BB0iqMgGs6cXv0AOgAxg-3D-3D">https://rdcu.be/bh8mu</a>. When you have any questions or comments regarding this study or these files, please contact me via:</p> <p>Jessica van Setten, PhD | <em>Department of Cardiology, University Medical Center Utrecht, Utrecht University</em> | j.vansetten [at] umcutrecht [dot] nl</p> <p> </p> <p><strong>Files and description</strong></p> <p>There are four files available:</p> <ol> <li>RR_summary_Sept2018.txt.gz - gzipped file containing all the (unfiltered) meta-analysis results for RR interval</li> <li>PR_summary_Sept2018.txt.gz - gzipped file containing all the (unfiltered) meta-analysis results for PR interval</li> <li>QT_summary_Sept2018.txt.gz - gzipped file containing all the (unfiltered) meta-analysis results for QT interval</li> <li>QRS_summary_Sept2018.txt.gz - gzipped file containing all the (unfiltered) meta-analysis results for QRS duration</li> </ol> <p>All these files have the same lay-out and are gzipped. The reference used for meta-analysis of GWAS was Genome of the Netherlands v4. </p> <ul> <li><em>SNP</em> - variantID (rsID), please note that few hundred variants do not have an rsID, but are NA instead. These can still be identified by chromosome and position.</li> <li><em>CHR</em> - chromosome numbers [1-22 and X].</li> <li><em>POS</em> - base pair position, hg19 / build37.</li> <li><em>CODED_ALLELE</em> - coded allele, <em>i.e.</em> the effect allele, as represented (and harmonized) across cohorts. Note that this is not necessarily the minor allele.</li> <li><em>NON_CODED_ALLELE</em> - the other allele, <em>i.e.</em> the non-effect allele.</li> <li><em>CODED_ALLELE_FREQ</em> - coded allele frequency, <em>i.e.</em> the effect allele frequency. Note that this is not necessarily the minor allele frequency.</li> <li><em>BETA</em> - beta from the fixed-effects model.</li> <li><em>SE </em>- standard error from the fixed-effects model.</li> <li><em>P </em>- P-value from the fixed-effects model.</li> <li><em>NEAREST_GENE</em> - the gene closest to the respective variant.</li> </ul> <p> </p>
Interspecific competition affects the expression of personality-traits in natural populations
<p>Interspecific competition can cause niche partitioning among species in a community and shape an individual’s phenotype, including its behaviour. However, little is known about how interspecific competition affects the expression of animal personality. We investigated whether the occurrence of competing alien grey squirrels (<em>Sciurus carolinensis</em>) altered personality traits in native Eurasian red squirrels (<em>Sciurus vulgaris</em>). We compared personality traits of red squirrels in red-only (no interspecific competition) and red-grey (with interspecific competition) sites, using arena tests. Open Field Test returned repeatable estimates of activity and shyness, Mirror Image Stimulation test of sociability and avoidance of a conspecific. Red squirrels competing with the alien species had higher sociability and slightly lower avoidance than in red-only sites. Moreover, an individual’s probability to survive was not affected by any of the personality traits, but more active females were more likely to wean a litter than shy ones. This relationship was not affected by the presence or absence of the alien competitor. Our findings suggest that the occurrence of certain personality traits in red squirrels was affected by interspecific competition not as a consequence of short-term selection, but more likely as a result of context-related advantages of sociability or avoidance.</p>
Summary statistics - Imputed gene associations identify replicable trans-acting genes enriched in transcription pathways and complex traits
<p>Summary statistics for all trans-acting/target gene pairs tested in our manuscript.</p> <p>Preprint available: <a href="https://doi.org/10.1101/471748">https://doi.org/10.1101/471748</a></p>
Inflorescence and fruit traits of 88 Asteraceae species
<p>This data set includes information on inflorescence and fruit tratis on 88 different Asteraceae species. This information was collected after studying material from two herbaria: the Asteraceae collection of the Swedish Natural History Museum Herbarium (S), and the Herbarium of the University of Coimbra (COI). We collected for each species its sexual system, head diameter (dcap), receptacle area (area), number of flowers per head (nflw), density of flowers per head (densflw), size of outermost fruits (mean.size.outer), size of innermost fruits (mean.size.inner) and the fruit size difference between both (FSD) measured as the magnitude of the difference among the size of the outer and inner fruits.</p> <p>This data set is the main data set used in article published in bioRxiv.org: (bioRxiv 356147; doi: DOI: 10.1101/356147, which has been peer-reviewed and recommended by:<em> Peer Community in Evolutionary Biology</em> (DOI: 10.24072/pci.ecology.1000069):</p> <p>Torices R, Afonso A, Anderberg AA, Gómez JM, and Méndez M. (2019). Architectural traits constrain the evolution of unisexual flowers and sexual segregation within inflorescences: an interspecific approach. bioRxiv 236646, ver 3 peer-reviewed and recommended by PCI Evol Biol. DOI: 10.1101/356147.</p>
Response of wild bee diversity, abundance and functional traits to vineyard inter-row management intensity and landscape diversity across Europe
<p>Data set used for analyses in the publication "Response of wild bee diversity, abundance and functional traits to vineyard inter-row management intensity and landscape diversity across Europe".</p> <p>First sheet in the Excel-file gives a detailed description of the abbreviations, terms etc. used in the following tables. Please also check the method section in the publication for the detailed description on how data were collected.</p> <p>If you have any questions feel free to contact Sophie Kratschmer via e-mail</p>
Supporting data for: A method of sexing the human os coxae based on logistic regressions and Bruzek's nonmetric traits
<p>The three following datasets are related to the article <em>A method of sexing the human os coxae based on logistic regressions and Bruzek's nonmetric traits</em> (Santos, Guyomarc'h, Rmoutilova, & Bruzek, 2019):</p> <ul> <li><strong>data_refPELVIS_Santos2019AJPA.csv</strong>: is described as the "reference sample" of 592 ossa coxae in the article. This is the learning dataset available in the <a href="https://gitlab.com/f.santos/pelvis">PELVIS R package</a></li> <li><strong>data_518RightBones_Santos2019AJPA.csv</strong>: the dataset of 518 right ossa coxae used to discuss asymmetry and the impact of lateralization on the sex estimates produced by PELVIS</li> <li><strong>data_3D_Santos2019AJPA.csv</strong>: the virtual coxal data acquired through 99 CT-scan images</li> </ul>
Sugarcane Culturable microbiome prospection for plant growth promotion traits in Cynodon dactylon
<p>Data set of running experiments for the prospection of traits for plant growth promotion of bacterial communities from sugarcane tissues: rhizospheric soil, roots, stalks, and leaves. For this experiment, we are using a model plant: Cynodon dactylon known as Bermuda grass.</p>
Community-weighted mean traits in old-growth and selectively logged forest
<p><strong>Description: </strong></p> <p>Community-weighted mean traits from tree species that make up more than 80% basal area in plots in selectively logged forest at SAFE and in old-growth forest in Danum Valley and Maliau Basin. Sampled during the BALI project traits campaign</p> <p><strong>Project: </strong>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/55"><strong>Biodiversity and land-use impacts on tropical ecosystem function (BALI): Quantifying functional trait distributions across the disturbance gradient</strong></a></p> <p><strong>Funding: </strong>These data were collected as part of research funded by:</p> <ul> <li>NERC (Standard grant, NE/K016253/1)</li> </ul> <p>This dataset is released under the CC-BY 4.0 licence, requiring that you cite the dataset in any outputs, but has the additional condition that you acknowledge the contribution of these funders in any outputs.</p> <p> </p> <p><strong>Permits: </strong>These data were collected under permit from the following authorities:</p> <ul> <li>Sabah Biodiversity Centre (Research licence JKM/MBS.1000-2.2(385))</li> </ul> <p> </p> <p><strong>XML metadata: </strong>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=3247602">here</a></p> <p><strong>Files: </strong>This dataset consists of 3 files: Both_CWM_traits.xlsx, CSP_protocol_Chlorophyll_and_Carotenoids.pdf, CSP_protocol_Phenols_Tannins_Analysis.pdf</p> <p><strong>Both_CWM_traits.xlsx</strong></p> <p>This file contains dataset metadata and 1 data tables:</p> <ol> <li> <p><strong>CMW_traits</strong> (described in worksheet CMW_traits)</p> <p>Description: Community-weighted mean traits of tree in plots in SAFE , Danum Valley and Maliau Basin sampled during the BALI project traits campaign</p> <p>Number of fields: 36</p> <p>Number of data rows: 8</p> <p>Fields:</p> <ul> <li><strong>location</strong>: Location (Field type: Categorical)</li> <li><strong>forest_type</strong>: Forest type (Field type: Categorical)</li> <li><strong>forestplots_name</strong>: Plot name coherent with forestplots database (Field type: ID)</li> <li><strong>plot_name_trait_campaign</strong>: Plot name used during the BALI trait campaign (Field type: ID)</li> <li><strong>CWM_total_K_mg.g_log</strong>: CWM foliar potassium concentration in mg per g dry weight, log transformed data (Field type: Numeric)</li> <li><strong>CWM_total_Ca_mg.g_log</strong>: CWM foliar calcium concentration in mg per g dry weight, log transformed data (Field type: Numeric)</li> <li><strong>CWM_total_Mg_mg.g_log</strong>: CWM foliar magnesium concentration in mg per g dry weight, log transformed data (Field type: Numeric)</li> <li><strong>CWM_total_P_mg.g_log</strong>: CWM foliar phosporus concentration in mg per g dry weight, log transformed data (Field type: Numeric)</li> <li><strong>CWM_N_perc</strong>: CWM foliar nitrogen concentration (Field type: Numeric)</li> <li><strong>CWM_15N_per_mil</strong>: CWM foliar 15N isotope concentration (Field type: Numeric)</li> <li><strong>CWM_C_perc</strong>: CWM foliar carbon concentration (Field type: Numeric)</li> <li><strong>CWM_13C_per_mil</strong>: CWM foliar 13C isotope concentration, expressed relative to Vienna Pee Dee Belemnite (VPDB) as δ13C in units of per mil [‰] (Field type: Numeric)</li> <li><strong>CWM_DR</strong>: CWM dark respiration measured on leaf attached to a branch that is cut under water and remains in water (Field type: Numeric)</li> <li><strong>CWM_Asat</strong>: CWM light-saturated net photosynthesis measured on leaf attached to a branch that is cut under water and remains in water. (Field type: Numeric)</li> <li><strong>CWM_Amax</strong>: CWM maximum photosynthetic capacity measured on leaf attached to a branch that is cut under water and remains in water. (Field type: Numeric)</li> <li><strong>CWM_leaf_thickness_mm_log</strong>: CWM thickness of leaf, log transformed data (Field type: Numeric)</li> <li><strong>CWM_dry_weight_mg_log</strong>: CWM leaf oven-dried weight, log transformed data (Field type: Numeric)</li> <li><strong>CWM_LA_mm2_log</strong>: CWM leaf area (LA) calculated from fresh leaves collected from branches, scanned immediately, log transformed data (Field type: Numeric)</li> <li><strong>CWM_SLA_mm2_mg</strong>: CWM specific leaf area (SLA) determined as the one-sided area of a fresh leaf, divided by its oven-dry mass. (Field type: Numeric)</li> <li><strong>CWM_LDMC_mg.g</strong>: CWM leaf dry-matter content (LDMC) is the oven-dry mass (mg) of a leaf, divided by its water-saturated fresh mass (g) mg g–1 (Field type: Numeric)</li> <li><strong>CWM_chla_mg.g</strong>: CWM foliar chlorophyll a content (Field type: Numeric)</li> <li><strong>CWM_chlb_mg.g</strong>: CWM foliar chlorophyll b content (Field type: Numeric)</li> <li><strong>CWM_carot_mg.g</strong>: CWM foliar carotenoids content (Field type: Numeric)</li> <li><strong>CWM_Fp_N_mm_log</strong>: CWM force to punch leaf, dividing the observed force (N) required to puncture the leaf lamina by the circumference of the instrument's rod, log transformed data (Field type: Numeric)</li> <li><strong>CWM_specific_Fp_log</strong>: CWM specific force to punch (Fp divided by lamina thickness), log transformed data (Field type: Numeric)</li> <li><strong>CWM_WD_B</strong>: CWM branch wood density from branch segment with bark (Field type: Numeric)</li> <li><strong>CWM_hemicellulose_perc</strong>: CWM foliar hemicellulose concentration (Field type: Numeric)</li> <li><strong>CWM_cellulose_perc</strong>: CWM foliar cellulose concentration (Field type: Numeric)</li> <li><strong>CWM_lignin_recalcitrants_perc</strong>: CWM foliar lignin and recalcitrants concentration (Field type: Numeric)</li> <li><strong>CWM_total_tannin_mg.g</strong>: CWM foliar tannin concentration (Field type: Numeric)</li> <li><strong>CWM_total_phenol_mg.g</strong>: CWM total foliar phenol concentration (Field type: Numeric)</li> <li><strong>CWM_chla_mg.mm2</strong>: CWM foliar chlorophyll a content expressed on leaf area basis (Field type: Numeric)</li> <li><strong>CWM_chlb_mg.mm2</strong>: CWM foliar chlorophyll b content expressed on leaf area basis (Field type: Numeric)</li> <li><strong>CWM_carot_mg.mm2</strong>: CWM foliar carotenoids content expressed on leaf area basis (Field type: Numeric)</li> <li><strong>CWM_N_mg.mm2</strong>: CWM foliar nitrogen concentration expressed on leaf area basis (Field type: Numeric)</li> <li><strong>CWM_total_P_mg.mm2.l</strong>: CWM foliar phosporus concentration expressed on leaf area basis, log transformed data (Field type: Numeric)</li> </ul> </li> </ol> <p><strong>CSP_protocol_Chlorophyll_and_Carotenoids.pdf</strong></p> <p>Description: Methodology of chlorophyll and carotenoids analysis, Carnegie Spectranomics protocol: https://drive.google.com/file/d/0B58dyv8L3FpMdGw0QWtiZElHQzQ/view</p> <p><strong>CSP_protocol_Phenols_Tannins_Analysis.pdf</strong></p> <p>Description: Methodology of phenols and tannins analysis, Carnegie Spectranomics protocol: https://drive.google.com/file/d/0B58dyv8L3FpMcTBHblQwRHdyRE0/view</p> <p><strong>Date range: </strong>2014-05-01 to 2018-09-01</p> <p><strong>Latitudinal extent: </strong>4.5000 to 5.0700</p> <p><strong>Longitudinal extent: </strong>116.7500 to 117.8200</p>
Functional traits of tree species in old-growth and selectively logged forest
<b>Description: </b><p>Traits matrix for tree species in selectively logged forest at SAFE and in old-growth forest in Danum Valley and Maliau Basin. Sampled during the BALI project traits campaign</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/55"><b>Biodiversity and land-use impacts on tropical ecosystem function (BALI): Quantifying functional trait distributions across the disturbance gradient</b></a></p><p><b>Funding: </b>These data were collected as part of research funded by: </p><ul><li>NERC (Standard grant, NE/K016253/1)</li></ul><p>This dataset is released under the CC-BY 4.0 licence, requiring that you cite the dataset in any outputs, but has the additional condition that you acknowledge the contribution of these funders in any outputs.</p><p></p><p><b>Permits: </b>These data were collected under permit from the following authorities:</p><ul><li>Sabah Biodiversity Centre (Research licence JKM/MBS.1000-2.2(385))</li></ul><p></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=3247631">here</a></p><p><b>Files: </b>This dataset consists of 3 files: Both_tree_functional_traits.xlsx, CSP_protocol_Chlorophyll_and_Carotenoids.pdf, CSP_protocol_Phenols_Tannins_Analysis.pdf</p><p><b>Both_tree_functional_traits.xlsx</b></p><p>This file contains dataset metadata and 1 data tables:</p><ol><li><p><b>Tree_functional_traits</b> (described in worksheet Tree_functional_traits)</p><p>Description: Traits matrix for tree species at SAFE and in Danum Valley, Maliau Basin sampled during the BALI project traits campaign</p><p>Number of fields: 84</p><p>Number of data rows: 717</p><p>Fields: </p><ul><li><b>location</b>: Location (Field type: Categorical)</li><li><b>forest_type</b>: Forest type: OG: old-growth plots, Maliau and Danum; SL: selectively logged plots at SAFE (Field type: Categorical)</li><li><b>forestplots_name</b>: Plot name coherent with forestplots database (Field type: ID)</li><li><b>plot_name_trait_campaign</b>: Plot name used during the BALI trait campaign (Field type: ID)</li><li><b>sample_code</b>: Sample code referencing: plot-'T'(ree) ID-branch type (Field type: ID)</li><li><b>branch_type</b>: Binary classification of branch sampled depending on their position in the tree crown. BS: sun branch; BSH: shade branch (Field type: ID)</li><li><b>sampling_date</b>: Date of sampling (Field type: Date)</li><li><b>tree_id</b>: Reference for tree tag label (Field type: ID)</li><li><b>species</b>: Tree species (Field type: Taxa)</li><li><b>height.m</b>: Height of tree individual (Field type: Numeric trait)</li><li><b>total_K_mg.g</b>: Foliar potassium content in mg per g dry weight (Field type: Numeric trait)</li><li><b>total_Ca_mg.g</b>: Foliar calcium content in mg per g dry weight (Field type: Numeric trait)</li><li><b>total_Mg_mg.g</b>: Foliar magnesium content in mg per g dry weight (Field type: Numeric trait)</li><li><b>total_P_mg.g</b>: Foliar phosporus content in mg per g dry weight (Field type: Numeric trait)</li><li><b>N_perc</b>: Foliar nitrogen concentration (Field type: Numeric trait)</li><li><b>15N_per_mil</b>: Foliar 15N isotope concentration (Field type: Numeric trait)</li><li><b>C_perc</b>: Foliar carbon concentration (Field type: Numeric trait)</li><li><b>13C_per_mil</b>: Foliar 13C isotope concentration, expressed relative to Vienna Pee Dee Belemnite (VPDB) as δ13C in units of per mil [‰] (Field type: Numeric trait)</li><li><b>CN</b>: Foliar carbon nitrogen ratio (Field type: Numeric trait)</li><li><b>DR_mean</b>: Mean dark respiration measured on leaf of a branch that is cut under water and remains in water, calculated from replicated leaves per branch (Field type: Numeric trait)</li><li><b>DR_sd</b>: Standard deviation of dark respiration measured on leaf of a branch that is cut under water and remains in water, calculated from replicated leaves per branch (Field type: Numeric)</li><li><b>DR_n</b>: Number of replicates, i.e. leaves per branch used for mean trait (Field type: Replicate)</li><li><b>Asat_cons_mean</b>: Mean light-saturated net photosynthesis measured on leaf of a branch that is cut under water and remains in water, calculated from replicated leaves per branch. Data cleaning very conservative: subset of values only with conductance higher 0.04, Ci between 150 - 300, and PS higher than 1, leading to fewer data points. (Field type: Numeric trait)</li><li><b>Asat_cons_sd</b>: Standard deviation of light-saturated net photosynthesis measured on leaf of a branch that is cut under water and remains in water, calculated from replicated leaves per branch (Field type: Numeric)</li><li><b>Asat_cons_n</b>: Number of replicates, i.e. leaves per branch used for mean trait (Field type: Replicate)</li><li><b>Amax_cons_mean</b>: Mean maximum photosynthetic capacity measured on leaf of a branch that is cut under water and remains in water, calculated from replicated leaves per branch. Data cleaning very conservative: subset of values only with conductance higher 0.04, Ci between 150 - 300, and PS higher than 1, leading to fewer data points. (Field type: Numeric trait)</li><li><b>Amax_cons_sd</b>: Standard deviation of maximum photosynthetic capacity measured on leaf of a branch that is cut under water and remains in water, calculated from replicated leaves per branch (Field type: Numeric)</li><li><b>Amax_cons_n</b>: Number of replicates, i.e. leaves per branch used for mean trait (Field type: Replicate)</li><li><b>Asat_mean</b>: Mean light-saturated net photosynthesis measured on leaf of a branch that is cut under water and remains in water, calculated from replicated leaves per branch (Field type: Numeric trait)</li><li><b>Asat_sd</b>: Standard deviation of light-saturated net photosynthesis measured on leaf of a branch that is cut under water and remains in water, calculated from replicated leaves per branch (Field type: Numeric)</li><li><b>Asat_n</b>: Number of replicates, i.e. leaves per branch used for mean trait (Field type: Replicate)</li><li><b>Amax_mean</b>: Mean maximum photosynthetic capacity measured on leaf of a branch that is cut under water and remains in water, calculated from replicated leaves per branch (Field type: Numeric trait)</li><li><b>Amax_sd</b>: Standard deviation of maximum photosynthetic capacity measured on leaf of a branch that is cut under water and remains in water, calculated from replicated leaves per branch (Field type: Numeric)</li><li><b>Amax_n</b>: Number of replicates, i.e. leaves per branch used for mean trait (Field type: Replicate)</li><li><b>LA_cm2_mean</b>: Mean leaf area (LA) calculated from fresh leaves collected from branches, scanned immediately. (Field type: Numeric trait)</li><li><b>LA_cm2_sd</b>: Standard deviation of leaf area (Field type: Numeric)</li><li><b>LA_cm2_n</b>: Number of replicates, i.e. leaves per branch used for mean trait (Field type: Replicate)</li><li><b>leaf_thickness_mm_mean</b>: Mean thickness of leaf (Field type: Numeric trait)</li><li><b>fresh_weight_g_mean</b>: Mean leaf fresh weight (Field type: Numeric trait)</li><li><b>dry_weight_g_mean</b>: Mean leaf oven-dried weight (Field type: Numeric trait)</li><li><b>dry_weight_mg_mean</b>: Mean leaf oven-dried weight (Field type: Numeric trait)</li><li><b>LDMC_mg.g_mean</b>: Leaf dry-matter content (LDMC) is the oven-dry mass (mg) of a leaf, divided by its water-saturated fresh mass (g) mg g–1 (Field type: Numeric trait)</li><li><b>leaf_thickness_mm_sd</b>: Standard deviation of leaf thickness (Field type: Numeric)</li><li><b>fresh_weight_g_sd</b>: Standard deviation of fresh leaf weight (Field type: Numeric)</li><li><b>dry_weight_g_sd</b>: Standard deviation of dry leaf weight (Field type: Numeric)</li><li><b>dry_weight_mg_sd</b>: Standard deviation of dry leaf weight (Field type: Numeric)</li><li><b>LDMC_mg.g_sd</b>: Standard deviation of leaf dry matter content (Field type: Numeric)</li><li><b>leaf_thickness_mm_n</b>: Number of replicates, i.e. leaves per branch used for mean trait (Field type: Replicate)</li><li><b>fresh_weight_g_n</b>: Number of replicates, i.e. leaves per branch used for mean trait (Field type: Replicate)</li><li><b>dry_weight_g_n</b>: Number of replicates, i.e. leaves per branch used for mean trait (Field type: Replicate)</li><li><b>dry_weight_mg_n</b>: Number of replicates, i.e. leaves per branch used for mean trait (Field type: Replicate)</li><li><b>LDMC_mg.g_n</b>: Number of replicates, i.e. leaves per branch used for mean trait (Field type: Replicate)</li><li><b>branch_height_m</b>: Height from where branch sample was taken (Field type: Numeric trait)</li><li><b>chla_mg.g</b>: Foliar chlorophyll a content (Field type: Numeric trait)</li><li><b>chlb_mg.g</b>: Foliar chlorophyll b content (Field type: Numeric trait)</li><li><b>carot_mg.g</b>: Foliar carotenoids content (Field type: Numeric trait)</li><li><b>Fp_N_mm_mean</b>: Mean force to punch leaf, dividing the observed force (N) required to puncture the leaf lamina by the circumference of the instrument's rod (Field type: Numeric trait)</li><li><b>Fp_N_mm_sd</b>: Standard deviation for force to punch (Field type: Numeric trait)</li><li><b>Fp_N_mm_n</b>: Number of replicates, i.e. leaves per branch used for mean trait (Field type: Numeric trait)</li><li><b>specific_Fp_mean</b>: Mean specific force to punch (Fp divided by lamina thickness) (Field type: Numeric trait)</li><li><b>specific_Fp_sd</b>: Standard deviation for force to punch (Field type: Numeric trait)</li><li><b>specific_Fp_n</b>: Number of replicates, i.e. leaves per branch used for mean trait (Field type: Numeric trait)</li><li><b>WD_B</b>: Branch wood density from branch segment with bark (Field type: Numeric trait)</li><li><b>WD_NB</b>: Branch wood density from branch segment without bark (bark removed prior measurement) (Field type: Numeric trait)</li><li><b>hemicellulose_perc</b>: Foliar hemicellulose concentration (Field type: Numeric trait)</li><li><b>cellulose_perc</b>: Foliar cellulose concentration (Field type: Numeric trait)</li><li><b>lignin_recalcitrants_perc</b>: Foliar lignin and recalcitrants concentration (Field type: Numeric trait)</li><li><b>Total_tannin_mg.g</b>: Total foliar tannin concentration (Field type: Numeric trait)</li><li><b>Total_phenol_mg.g</b>: Total foliar phenol concentration (Field type: Numeric trait)</li><li><b>SLA_mm2.mg_mean</b>: Specific leaf area (SLA) determined as the one-sided area of a fresh leaf, divided by its oven-dry mass. (Field type: Numeric trait)</li><li><b>total_K_mg.mm2</b>: Foliar potassium content expressed on leaf area basis (Field type: Numeric trait)</li><li><b>total_Ca_mg.mm2</b>: Foliar calcium content expressed on leaf area basis (Field type: Numeric trait)</li><li><b>total_Mg_mg.mm2</b>: Foliar magnesium content expressed on leaf area basis (Field type: Numeric trait)</li><li><b>total_P_mg.mm2</b>: Foliar phosporus content expressed on leaf area basis (Field type: Numeric trait)</li><li><b>chla_mg.mm2</b>: Foliar chlorophyll a content expressed on leaf area basis (Field type: Numeric trait)</li><li><b>chlb_mg.mm2</b>: Foliar chlorophyll b content expressed on leaf area basis (Field type: Numeric trait)</li><li><b>carot_mg.mm2</b>: Foliar carotenoids content expressed on leaf area basis (Field type: Numeric trait)</li><li><b>tannin_mg.mm2</b>: Foliar tannin content expressed on leaf area basis (Field type: Numeric trait)</li><li><b>phenol_mg_mm2</b>: Foliar phenol content expressed on leaf area basis (Field type: Numeric trait)</li><li><b>N_mg.mm2</b>: Foliar nitrogen content expressed on leaf area basis (Field type: Numeric trait)</li><li><b>C_mg.mm2</b>: Foliar carbon content expressed on leaf area basis (Field type: Numeric trait)</li><li><b>hemicellulose_mg.mm2</b>: Foliar hemicellulose content expressed on leaf area basis (Field type: Numeric trait)</li><li><b>cellulose_mg.mm2</b>: Foliar cellulose content expressed on leaf area basis (Field type: Numeric trait)</li><li><b>lignin_recalcitrants_mg.mm2</b>: Foliar lignin and recalcitrants content expressed on leaf area basis (Field type: Numeric trait)</li></ul></li></ol><p><b>CSP_protocol_Chlorophyll_and_Carotenoids.pdf</b></p><p>Description: Methodology of chlorophyll and carotenoids analysis, Carnegie Spectranomics protocol: https://drive.google.com/file/d/0B58dyv8L3FpMdGw0QWtiZElHQzQ/view</p><p><b>CSP_protocol_Phenols_Tannins_Analysis.pdf</b></p><p>Description: Methodology of phenols and tannins analysis, Carnegie Spectranomics protocol: https://drive.google.com/file/d/0B58dyv8L3FpMcTBHblQwRHdyRE0/view</p><p><b>Date range: </b>2014-05-01 to 2018-09-01</p><p><b>Latitudinal extent: </b>4.5000 to 5.0700</p><p><b>Longitudinal extent: </b>116.7500 to 117.8200</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div>Plantae<br> - Tracheophyta<br> -  - Liliopsida<br> -  -  - Poales<br> -  -  -  - Poaceae<br> -  -  -  -  - <i>Dinochloa</i><br> -  -  -  -  -  - <i>Dinochloa trichogona</i><br> -  -  -  -  - <i>Imperata</i><br> -  -  -  -  -  - <i>Imperata cylindrica</i><br> -  -  -  -  - <i>Paspalum</i><br> -  -  -  -  -  - <i>Paspalum virgatum</i><br> -  -  - Zingiberales<br> -  -  -  - Marantaceae<br> -  -  -  -  - <i>Phrynium</i><br> -  -  -  -  -  - <i>Phrynium pubinerve</i><br> -  -  -  - Zingiberaceae<br> -  -  -  -  - <i>Etlingera</i><br> -  - Magnoliopsida<br> -  -  - Asterales<br> -  -  -  - Asteraceae<br> -  -  -  -  - <i>Mikania</i><br> -  -  -  -  -  - <i>Mikania micrantha</i><br> -  -  - Celastrales<br> -  -  -  - Celastraceae<br> -  -  -  -  - <i>Lophopetalum</i><br> -  -  -  -  -  - <i>Lophopetalum beccarianum</i><br> -  -  -  -  -  - <i>Lophopetalum glabrum</i><br> -  -  -  -  -  - <i>Lophopetalum javanicum</i><br> -  -  - Cornales<br> -  -  -  - Cornaceae<br> -  -  -  -  - <i>Alangium</i><br> -  -  -  -  -  - <i>Alangium javanicum</i><br> -  -  -  - Nyssaceae<br> -  -  -  -  - <i>Mastixia</i><br> -  -  -  -  -  - <i>Mastixia trichotoma</i><br> -  -  - Ericales<br> -  -  -  - Ebenaceae<br> -  -  -  -  - <i>Diospyros</i><br> -  -  -  -  -  - <i>Diospyros andamanica</i><br> -  -  -  -  -  - <i>Diospyros curranii</i><br> -  -  -  -  -  - <i>Diospyros daemona</i><br> -  -  -  -  -  - <i>Diospyros dictyoneura</i><br> -  -  -  -  -  - <i>Diospyros macrophylla</i><br> -  -  -  -  -  - <i>Diospyros muricata</i><br> -  -  -  -  -  - <i>Diospyros pilosanthera</i><br> -  -  -  -  -  - <i>Diospyros toposia</i><br> -  -  -  -  -  - <i>Diospyros tuberculata</i><br> -  -  -  - Lecythidaceae<br> -  -  -  -  - <i>Barringtonia</i><br> -  -  -  -  -  - <i>Barringtonia lanceolata</i><br> -  -  -  -  -  - <i>Barringtonia macrostachya</i><br> -  -  -  -  -  - <i>Barringtonia sarcostachys</i><br> -  -  -  -  - <i>Planchonia</i><br> -  -  -  -  -  - <i>Planchonia brevistipitata</i><br> -  -  -  - Pentaphylacaceae<br> -  -  -  -  - <i>Adinandra</i><br> -  -  -  -  -  - <i>Adinandra dumosa</i><br> -  -  -  - Primulaceae<br> -  -  -  -  - <i>Ardisia</i><br> -  -  -  -  -  - <i>Ardisia macrophylla</i><br> -  -  -  -  - <i>Maesa</i><br> -  -  -  -  -  - <i>Maesa macrothyrsa</i><br> -  -  -  - Sapotaceae<br> -  -  -  -  - <i>Madhuca</i><br> -  -  -  -  -  - <i>Madhuca dubardii</i><br> -  -  -  -  -  - <i>Madhuca korthalsii</i><br> -  -  -  -  - <i>Palaquium</i><br> -  -  -  -  -  - <i>Palaquium dasyphyllum</i><br> -  -  -  -  -  - <i>Palaquium obovatum</i><br> -  -  -  -  -  - <i>Palaquium sericeum</i><br> -  -  -  -  - <i>Payena</i><br> -  -  -  -  -  - <i>Payena acuminata</i><br> -  -  -  - Symplocaceae<br> -  -  -  -  - <i>Symplocos</i><br> -  -  -  -  -  - <i>Symplocos fasciculata</i><br> -  -  -  - Theaceae<br> -  -  -  -  - <i>Pyrenaria</i><br> -  -  -  -  -  - <i>Pyrenaria tawauensis</i><br> -  -  - Fabales<br> -  -  -  - Fabaceae<br> -  -  -  -  - <i>Archidendron</i><br> -  -  -  -  -  - <i>Archidendron clypearia</i><br> -  -  -  -  - <i>Crudia</i><br> -  -  -  -  -  - <i>Crudia reticulata</i><br> -  -  -  -  -  - <i>Crudia tenuipes</i><br> -  -  -  -  - <i>Cynometra</i><br> -  -  -  -  -  - <i>Cynometra mirabilis</i><br> -  -  -  -  - <i>Dialium</i><br> -  -  -  -  -  - <i>Dialium indum</i><br> -  -  -  -  -  - <i>Dialium kunstleri</i><br> -  -  -  -  - <i>Fordia</i><br> -  -  -  -  -  - <i>Fordia brachybotrys</i><br> -  -  -  -  -  - <i>Fordia splendidissima</i><br> -  -  -  -  - <i>Sindora</i><br> -  -  -  -  - <i>Spatholobus</i><br> -  -  -  -  -  - <i>Spatholobus macropterus</i><br> -  -  -  - Polygalaceae<br> -  -  -  -  - <i>Xanthophyllum</i><br> -  -  -  -  -  - <i>Xanthophyllum flavescens</i><br> -  -  - Fagales<br> -  -  -  - Fagaceae<br> -  -  -  -  - <i>Castanopsis</i><br> -  -  -  -  -  - <i>Castanopsis hypophoenicea</i><br> -  -  -  -  - <i>Lithocarpus</i><br> -  -  -  -  -  - <i>Lithocarpus blumeanus</i><br> -  -  -  -  -  - <i>Lithocarpus conocarpus</i><br> -  -  -  -  -  - <i>Lithocarpus echinifer</i><br> -  -  -  -  -  - <i>Lithocarpus gracilis</i><br> -  -  -  -  -  - <i>Lithocarpus leptogyne</i><br> -  -  -  -  -  - <i>Lithocarpus sundaicus</i><br> -  -  -  -  - <i>Quercus</i><br> -  -  -  -  -  - <i>Quercus argentata</i><br> -  -  -  -  -  - <i>Quercus lowii</i><br> -  -  -  -  -  - <i>Quercus merrillii</i><br> -  -  -  -  - <i>Trigonobalanus</i><br> -  -  -  -  -  - <i>Trigonobalanus verticillata</i><br> -  -  - Gentianales<br> -  -  -  - Apocynaceae<br> -  -  -  -  - <i>Alstonia</i><br> -  -  -  -  -  - <i>Alstonia angustiloba</i><br> -  -  -  - Rubiaceae<br> -  -  -  -  - <i>Ludekia</i><br> -  -  -  -  -  - <i>Ludekia borneensis</i><br> -  -  -  -  - <i>Nauclea</i><br> -  -  -  -  -  - <i>Nauclea officinalis</i><br> -  -  -  -  -  - <i>Nauclea subdita</i><br> -  -  -  -  - <i>Neolamarckia</i><br> -  -  -  -  -  - <i>Neolamarckia cadamba</i><br> -  -  -  -  - <i>Neonauclea</i><br> -  -  -  -  -  - <i>Neonauclea gigantea</i><br> -  -  -  -  - <i>Psydrax</i><br> -  -  -  -  -  - <i>Psydrax dicoccos</i><br> -  -  -  -  - <i>Uncaria</i><br> -  -  -  -  -  - <i>Uncaria cordata</i><br> -  -  -  -  - <i>Urophyllum</i><br> -  -  -  -  -  - <i>Urophyllum polyneurum</i><br> -  -  - Lamiales<br> -  -  -  - Lamiaceae<br> -  -  -  -  - <i>Callicarpa</i><br> -  -  -  -  -  - <i>Callicarpa pentandra</i><br> -  -  -  - Oleaceae<br> -  -  -  -  - <i>Chionanthus</i><br> -  -  -  -  -  - <i>Chionanthus macrocarpus</i><br> -  -  -  -  -  - <i>Chionanthus pluriflorus</i><br> -  -  - Laurales<br> -  -  -  - Lauraceae<br> -  -  -  -  - <i>Actinodaphne</i><br> -  -  -  -  - <i>Beilschmiedia</i><br> -  -  -  -  -  - <i>Beilschmiedia micrantha</i><br> -  -  -  -  - <i>Caryodaphnopsis</i><br> -  -  -  -  -  - <i>Caryodaphnopsis tonkinensis</i><br> -  -  -  -  - <i>Cryptocarya</i><br> -  -  -  -  -  - <i>Cryptocarya nigra</i><br> -  -  -  -  -  - <i>Cryptocarya nitens</i><br> -  -  -  -  - <i>Dehaasia</i><br> -  -  -  -  -  - <i>Dehaasia caesia</i><br> -  -  -  -  -  - <i>Dehaasia incrassata</i><br> -  -  -  -  - <i>Eusideroxylon</i><br> -  -  -  -  -  - <i>Eusideroxylon zwageri</i><br> -  -  -  -  - <i>Lindera</i><br> -  -  -  -  -  - <i>Lindera lucida</i><br> -  -  -  -  - <i>Litsea</i><br> -  -  -  -  -  - <i>Litsea accedens</i><br> -  -  -  -  -  - <i>Litsea angulata</i><br> -  -  -  -  -  - <i>Litsea caulocarpa</i><br> -  -  -  -  -  - <i>Litsea cordata</i><br> -  -  -  -  -  - <i>Litsea garciae</i><br> -  -  -  -  -  - <i>Litsea grandis</i><br> -  -  -  -  -  - <i>Litsea rubiginosa</i><br> -  -  -  -  - <i>Nothaphoebe</i><br> -  -  -  -  -  - <i>Nothaphoebe umbelliflora</i><br> -  -  -  -  - <i>Phoebe</i><br> -  -  -  -  -  - <i>Phoebe grandis</i><br> -  -  - Magnoliales<br> -  -  -  - Annonaceae<br> -  -  -  -  - <i>Cyathocalyx</i><br> -  -  -  -  - <i>Maasia</i><br> -  -  -  -  -  - <i>Maasia sumatrana</i><br> -  -  -  -  - <i>Miliusa</i><br> -  -  -  -  -  - <i>Miliusa macropoda</i><br> -  -  -  -  - <i>Monoon</i><br> -  -  -  -  - <i>Neo-uvaria</i><br> -  -  -  -  -  - <i>Neo-uvaria acuminatissima</i><br> -  -  -  -  - <i>Orophea</i><br> -  -  -  -  -  - <i>Orophea myriantha</i><br> -  -  -  -  - <i>Phaeanthus</i><br> -  -  -  -  -  - <i>Phaeanthus splendens</i><br> -  -  -  -  - <i>Polyalthia</i><br> -  -  -  -  -  - <i>Polyalthia obliqua</i><br> -  -  -  -  - <i>Pseuduvaria</i><br> -  -  -  -  -  - <i>Pseuduvaria borneensis</i><br> -  -  -  -  - <i>Sageraea</i><br> -  -  -  -  -  - <i>Sageraea elliptica</i><br> -  -  -  -  - <i>Stelechocarpus</i><br> -  -  -  -  -  - <i>Stelechocarpus cauliflorus</i><br> -  -  -  -  - <i>Xylopia</i><br> -  -  -  -  -  - <i>Xylopia ferruginea</i><br> -  -  -  -  -  - <i>Xylopia stenopetala</i><br> -  -  -  - Magnoliaceae<br> -  -  -  -  - <i>Magnolia</i><br> -  -  -  -  -  - <i>Magnolia borneensis</i><br> -  -  -  -  -  - <i>Magnolia liliifera</i><br> -  -  -  -  -  - <i>Magnolia tsiampacca</i><br> -  -  -  - Myristicaceae<br> -  -  -  -  - <i>Horsfieldia</i><br> -  -  -  -  -  - <i>Horsfieldia crassifolia</i><br> -  -  -  -  - <i>Knema</i><br> -  -  -  -  -  - <i>Knema glauca</i><br> -  -  -  -  -  - <i>Knema latifolia</i><br> -  -  -  -  -  - <i>Knema laurina</i><br> -  -  -  -  -  - <i>Knema oblongata</i><br> -  -  -  -  - <i>Myristica</i><br> -  -  -  -  -  - <i>Myristica smythiesii</i><br> -  -  - Malpighiales<br> -  -  -  - Achariaceae<br> -  -  -  -  - <i>Hydnocarpus</i><br> -  -  -  -  -  - <i>Hydnocarpus woodii</i><br> -  -  -  -  - <i>Ryparosa</i><br> -  -  -  -  -  - <i>Ryparosa acuminata</i><br> -  -  -  - Calophyllaceae<br> -  -  -  -  - <i>Calophyllum</i><br> -  -  -  -  -  - <i>Calophyllum soulattri</i><br> -  -  -  -  -  - <i>Calophyllum woodii</i><br> -  -  -  -  - <i>Mesua</i><br> -  -  -  -  -  - <i>Mesua borneensis</i><br> -  -  -  -  -  - <i>Mesua macrantha</i><br> -  -  -  -  -  - <i>Mesua oblongifolia</i><br> -  -  -  - Centroplacaceae<br> -  -  -  -  - <i>Bhesa</i><br> -  -  -  -  -  - <i>Bhesa indica</i><br> -  -  -  - Chrysobalanaceae<br> -  -  -  -  - <i>Atuna</i><br> -  -  -  -  -  - <i>Atuna racemosa</i><br> -  -  -  -  - <i>Licania</i><br> -  -  -  -  -  - <i>Licania splendens</i><br> -  -  -  - Clusiaceae<br> -  -  -  -  - <i>Garcinia</i><br> -  -  -  -  -  - <i>Garcinia benthamiana</i><br> -  -  -  -  -  - <i>Garcinia forbesii</i><br> -  -  -  -  -  - <i>Garcinia nervosa</i><br> -  -  -  -  -  - <i>Garcinia parvifolia</i><br> -  -  -  - Euphorbiaceae<br> -  -  -  -  - <i>Blumeodendron</i><br> -  -  -  -  -  - <i>Blumeodendron kurzii</i><br> -  -  -  -  -  - <i>Blumeodendron tokbrai</i><br> -  -  -  -  - <i>Hancea</i><br> -  -  -  -  -  - <i>Hancea penangensis</i><br> -  -  -  -  - <i>Macaranga</i><br> -  -  -  -  -  - <i>Macaranga conifera</i><br> -  -  -  -  -  - <i>Macaranga gigantea</i><br> -  -  -  -  -  - <i>Macaranga hypoleuca</i><br> -  -  -  -  -  - <i>Macaranga pearsonii</i><br> -  -  -  -  -  - <i>Macaranga winkleri</i><br> -  -  -  -  - <i>Mallotus</i><br> -  -  -  -  -  - <i>Mallotus leucodermis</i><br> -  -  -  -  -  - <i>Mallotus miquelianus</i><br> -  -  -  -  -  - <i>Mallotus mollissimus</i><br> -  -  -  -  -  - <i>Mallotus wrayi</i><br> -  -  -  -  - <i>Neoscortechinia</i><br> -  -  -  -  -  - <i>Neoscortechinia kingii</i><br> -  -  -  -  -  - <i>Neoscortechinia philippinensis</i><br> -  -  -  -  - <i>Ptychopyxis</i><br> -  -  -  -  -  - <i>Ptychopyxis arborea</i><br> -  -  -  -  - <i>Spathiostemon</i><br> -  -  -  - Hypericaceae<br> -  -  -  -  - <i>Cratoxylum</i><br> -  -  -  - Irvingiaceae<br> -  -  -  -  - <i>Irvingia</i><br> -  -  -  -  -  - <i>Irvingia malayana</i><br> -  -  -  - Phyllanthaceae<br> -  -  -  -  - <i>Antidesma</i><br> -  -  -  -  - <i>Aporosa</i><br> -  -  -  -  -  - <i>Aporosa confusa</i><br> -  -  -  -  -  - <i>Aporosa falcifera</i><br> -  -  -  -  - <i>Baccaurea</i><br> -  -  -  -  -  - <i>Baccaurea lanceolata</i><br> -  -  -  -  -  - <i>Baccaurea macrocarpa</i><br> -  -  -  -  -  - <i>Baccaurea pubera</i><br> -  -  -  -  -  - <i>Baccaurea tetrandra</i><br> -  -  -  -  - <i>Cleistanthus</i><br> -  -  -  -  -  - <i>Cleistanthus hirsutulus</i><br> -  -  -  -  -  - <i>Cleistanthus hylandii</i><br> -  -  -  -  -  - <i>Cleistanthus oblongifolius</i><br> -  -  -  -  -  - <i>Cleistanthus paxii</i><br> -  -  -  -  -  - <i>Cleistanthus pubens</i><br> -  -  -  -  - <i>Glochidion</i><br> -  -  -  -  -  - <i>Glochidion borneensis</i><br> -  -  -  -  - <i>Phyllanthus</i><br> -  -  -  -  -  - <i>Phyllanthus lutescens</i><br> -  -  -  -  -  - <i>Phyllanthus ruber</i><br> -  -  -  - Putranjivaceae<br> -  -  -  -  - <i>Drypetes</i><br> -  -  -  -  -  - <i>Drypetes longifolia</i><br> -  -  -  - Salicaceae<br> -  -  -  -  - <i>Flacourtia</i><br> -  -  -  -  -  - <i>Flacourtia rukam</i><br> -  -  -  -  - <i>Homalium</i><br> -  -  -  -  -  - <i>Homalium foetidum</i><br> -  -  - Malvales<br> -  -  -  - Dipterocarpaceae<br> -  -  -  -  - <i>Dipterocarpus</i><br> -  -  -  -  -  - <i>Dipterocarpus caudiferus</i><br> -  -  -  -  - <i>Dryobalanops</i><br> -  -  -  -  -  - <i>Dryobalanops lanceolata</i><br> -  -  -  -  - <i>Hopea</i><br> -  -  -  -  -  - <i>Hopea plagata</i><br> -  -  -  -  -  - <i>Hopea sangal</i><br> -  -  -  -  - <i>Parashorea</i><br> -  -  -  -  -  - <i>Parashorea malaanonan</i><br> -  -  -  -  -  - <i>Parashorea smythiesii</i><br> -  -  -  -  -  - <i>Parashorea warburgii</i><br> -  -  -  -  - <i>Shorea</i><br> -  -  -  -  -  - <i>Shorea almon</i><br> -  -  -  -  -  - <i>Shorea angustifolia</i><br> -  -  -  -  -  - <i>Shorea argentifolia</i><br> -  -  -  -  -  - <i>Shorea beccariana</i><br> -  -  -  -  -  - <i>Shorea faguetiana</i><br> -  -  -  -  -  - <i>Shorea falciferoides</i><br> -  -  -  -  -  - <i>Shorea fallax</i><br> -  -  -  -  -  - <i>Shorea gibbosa</i><br> -  -  -  -  -  - <i>Shorea guiso</i><br> -  -  -  -  -  - <i>Shorea johorensis</i><br> -  -  -  -  -  - <i>Shorea laevis</i><br> -  -  -  -  -  - <i>Shorea leprosula</i><br> -  -  -  -  -  - <i>Shorea leptoderma</i><br> -  -  -  -  -  - <i>Shorea macrophylla</i><br> -  -  -  -  -  - <i>Shorea macroptera</i><br> -  -  -  -  -  - <i>Shorea ovalis</i><br> -  -  -  -  -  - <i>Shorea ovata</i><br> -  -  -  -  -  - <i>Shorea parvifolia</i><br> -  -  -  -  -  - <i>Shorea parvistipulata</i><br> -  -  -  -  -  - <i>Shorea pauciflora</i><br> -  -  -  -  -  - <i>Shorea pinanga</i><br> -  -  -  -  -  - <i>Shorea superba</i><br> -  -  -  -  -  - <i>Shorea symingtonii</i><br> -  -  -  -  -  - <i>Shorea xanthophylla</i><br> -  -  -  -  - <i>Vatica</i><br> -  -  -  -  -  - <i>Vatica dulitensis</i><br> -  -  -  -  -  - <i>Vatica odorata</i><br> -  -  -  - Malvaceae<br> -  -  -  -  - <i>Boschia</i><br> -  -  -  -  -  - <i>Boschia grandiflora</i><br> -  -  -  -  - <i>Durio</i><br> -  -  -  -  -  - <i>Durio graveolens</i><br> -  -  -  -  - <i>Heritiera</i><br> -  -  -  -  -  - <i>Heritiera elata</i><br> -  -  -  -  - <i>Microcos</i><br> -  -  -  -  -  - <i>Microcos crassifolia</i><br> -  -  -  -  - <i>Pentace</i><br> -  -  -  -  -  - <i>Pentace borneensis</i><br> -  -  -  -  - <i>Pterygota</i><br> -  -  -  -  -  - <i>Pterygota alata</i><br> -  -  -  -  - <i>Scaphium</i><br> -  -  -  -  -  - <i>Scaphium macropodum</i><br> -  -  -  -  - <i>Sterculia</i><br> -  -  -  -  -  - <i>Sterculia rubiginosa</i><br> -  -  -  -  -  - <i>Sterculia stipulata</i><br> -  -  -  - Thymelaeaceae<br> -  -  -  -  - <i>Aquilaria</i><br> -  -  -  -  -  - <i>Aquilaria beccariana</i><br> -  -  - Myrtales<br> -  -  -  - Combretaceae<br> -  -  -  -  - <i>Terminalia</i><br> -  -  -  -  -  - <i>Terminalia citrina</i><br> -  -  -  -  -  - <i>Terminalia foetidissima</i><br> -  -  -  - Lythraceae<br> -  -  -  -  - <i>Duabanga</i><br> -  -  -  -  -  - <i>Duabanga moluccana</i><br> -  -  -  - Melastomataceae<br> -  -  -  -  - <i>Clidemia</i><br> -  -  -  -  -  - <i>Clidemia hirta</i><br> -  -  -  -  - <i>Melastoma</i><br> -  -  -  -  -  - <i>Melastoma malabathricum</i><br> -  -  -  -  - <i>Memecylon</i><br> -  -  -  -  -  - <i>Memecylon oleifolium</i><br> -  -  -  - Myrtaceae<br> -  -  -  -  - <i>Syzygium</i><br> -  -  -  -  -  - <i>Syzygium caudatilimbum</i><br> -  -  -  -  -  - <i>Syzygium chloranthum</i><br> -  -  -  -  -  - <i>Syzygium elopurae</i><br> -  -  -  -  -  - <i>Syzygium grande</i><br> -  -  -  -  -  - <i>Syzygium griffithii</i><br> -  -  -  -  -  - <i>Syzygium kunstleri</i><br> -  -  -  -  -  - <i>Syzygium lineatum</i><br> -  -  -  -  -  - <i>Syzygium pancheri</i><br> -  -  -  -  -  - <i>Syzygium panzeri</i><br> -  -  -  -  -  - <i>Syzygium pustulatum</i><br> -  -  -  -  -  - <i>Syzygium racemosum</i><br> -  -  -  -  -  - <i>Syzygium rheophyticum</i><br> -  -  -  -  - <i>Tristaniopsis</i><br> -  -  -  -  -  - <i>Tristaniopsis whiteana</i><br> -  -  - Oxalidales<br> -  -  -  - Elaeocarpaceae<br> -  -  -  -  - <i>Elaeocarpus</i><br> -  -  -  -  -  - <i>Elaeocarpus floribundus</i><br> -  -  -  -  -  - <i>Elaeocarpus pedunculatus</i><br> -  -  -  -  -  - <i>Elaeocarpus stipularis</i><br> -  -  -  -  - <i>Sloanea</i><br> -  -  -  -  -  - <i>Sloanea javanica</i><br> -  -  - Rosales<br> -  -  -  - Cannabaceae<br> -  -  -  -  - <i>Gironniera</i><br> -  -  -  -  -  - <i>Gironniera nervosa</i><br> -  -  -  -  - <i>Trema</i><br> -  -  -  -  -  - <i>Trema orientalis</i><br> -  -  -  - Moraceae<br> -  -  -  -  - <i>Antiaris</i><br> -  -  -  -  -  - <i>Antiaris toxicaria</i><br> -  -  -  -  - <i>Artocarpus</i><br> -  -  -  -  -  - <i>Artocarpus anisophyllus</i><br> -  -  -  -  -  - <i>Artocarpus glaucus</i><br> -  -  -  -  -  - <i>Artocarpus integer</i><br> -  -  -  -  -  - <i>Artocarpus odoratissimus</i><br> -  -  -  -  -  - <i>Artocarpus tamaran</i><br> -  -  -  -  - <i>Ficus</i><br> -  -  -  -  -  - <i>Ficus hispida</i><br> -  -  -  -  -  - <i>Ficus septica</i><br> -  -  -  -  -  - <i>Ficus uncinata</i><br> -  -  -  -  -  - <i>Ficus variegata</i><br> -  -  -  - Rosaceae<br> -  -  -  -  - <i>Prunus</i><br> -  -  -  -  -  - <i>Prunus javanica</i><br> -  -  -  -  - <i>Pygeum</i><br> -  -  -  -  -  - <i>Pygeum beccarii</i><br> -  -  -  - Urticaceae<br> -  -  -  -  - <i>Dendrocnide</i><br> -  -  -  -  -  - <i>Dendrocnide elliptica</i><br> -  -  - Santalales<br> -  -  -  - Coulaceae<br> -  -  -  -  - <i>Ochanostachys</i><br> -  -  -  -  -  - <i>Ochanostachys amentacea</i><br> -  -  -  - Strombosiaceae<br> -  -  -  -  - <i>Scorodocarpus</i><br> -  -  -  -  -  - <i>Scorodocarpus borneensis</i><br> -  -  - Sapindales<br> -  -  -  - Anacardiaceae<br> -  -  -  -  - <i>Gluta</i><br> -  -  -  -  -  - <i>Gluta aptera</i><br> -  -  -  -  -  - <i>Gluta wallichii</i><br> -  -  -  -  - <i>Mangifera</i><br> -  -  -  -  -  - <i>Mangifera odorata</i><br> -  -  -  -  - <i>Melanochyla</i><br> -  -  -  -  -  - <i>Melanochyla bullata</i><br> -  -  -  -  -  - <i>Melanochyla tomentosa</i><br> -  -  -  -  - <i>Parishia</i><br> -  -  -  -  -  - <i>Parishia insignis</i><br> -  -  -  - Burseraceae<br> -  -  -  -  - <i>Canarium</i><br> -  -  -  -  -  - <i>Canarium decumanum</i><br> -  -  -  -  -  - <i>Canarium denticulatum</i><br> -  -  -  -  -  - <i>Canarium odontophyllum</i><br> -  -  -  -  -  - <i>Canarium pilosum</i><br> -  -  -  -  - <i>Dacryodes</i><br> -  -  -  -  -  - <i>Dacryodes rostrata</i><br> -  -  -  -  -  - <i>Dacryodes rugosa</i><br> -  -  -  -  - <i>Santiria</i><br> -  -  -  -  -  - <i>Santiria laevigata</i><br> -  -  -  - Meliaceae<br> -  -  -  -  - <i>Aglaia</i><br> -  -  -  -  -  - <i>Aglaia crassinervia</i><br> -  -  -  -  -  - <i>Aglaia leptantha</i><br> -  -  -  -  -  - <i>Aglaia macrocarpa</i><br> -  -  -  -  -  - <i>Aglaia odoratissima</i><br> -  -  -  -  -  - <i>Aglaia oligophylla</i><br> -  -  -  -  -  - <i>Aglaia silvestris</i><br> -  -  -  -  -  - <i>Aglaia tomentosa</i><br> -  -  -  -  - <i>Aphanamixis</i><br> -  -  -  -  -  - <i>Aphanamixis polystachya</i><br> -  -  -  -  - <i>Chisocheton</i><br> -  -  -  -  -  - <i>Chisocheton ceramicus</i><br> -  -  -  -  -  - <i>Chisocheton macranthus</i><br> -  -  -  -  -  - <i>Chisocheton patens</i><br> -  -  -  -  - <i>Dysoxylum</i><br> -  -  -  -  -  - <i>Dysoxylum cyrtobotryum</i><br> -  -  -  -  -  - <i>Dysoxylum densiflorum</i><br> -  -  -  -  - <i>Lansium</i><br> -  -  -  -  -  - <i>Lansium domesticum</i><br> -  -  -  -  - <i>Reinwardtiodendron</i><br> -  -  -  -  -  - <i>Reinwardtiodendron humile</i><br> -  -  -  -  - <i>Walsura</i><br> -  -  -  -  -  - <i>Walsura pinnata</i><br> -  -  -  - Rutaceae<br> -  -  -  -  - <i>Melicope</i><br> -  -  -  -  -  - <i>Melicope confusa</i><br> -  -  -  - Sapindaceae<br> -  -  -  -  - <i>Dimocarpus</i><br> -  -  -  -  -  - <i>Dimocarpus longan</i><br> -  -  -  -  - <i>Nephelium</i><br> -  -  -  -  -  - <i>Nephelium cuspidatum</i><br> -  -  -  -  - <i>Paranephelium</i><br> -  -  -  -  -  - <i>Paranephelium macrophyllum</i><br> -  -  -  -  -  - <i>Paranephelium xestophyllum</i><br> -  -  -  -  - <i>Pometia</i><br> -  -  -  -  -  - <i>Pometia pinnata</i><br> -  -  -  -  - <i>Tristiropsis</i><br> -  -  -  -  -  - <i>Tristiropsis acutangula</i><br> -  -  - Solanales<br> -  -  -  - Convolvulaceae<br> -  -  -  -  - <i>Decalobanthus</i><br> -  -  -  -  -  - <i>Decalobanthus borneensis</i><br> -  -  -  -  - <i>Jacquemontia</i><br> -  -  -  -  -  - <i>Jacquemontia tomentella</i><br> -  - Polypodiopsida<br> -  -  - Gleicheniales<br> -  -  -  - Gleicheniaceae<br> -  -  -  -  - <i>Dicranopteris</i><br> -  -  -  -  -  - <i>Dicranopteris pubigera</i><br> -  -  - Polypodiales<br> -  -  -  - Lomariopsidaceae<br> -  -  -  -  - <i>Nephrolepis</i><br> -  -  -  -  -  - <i>Nephrolepis biserrata</i><br></div><p></p>
Quantitative Trait Loci of Solanaceae species
<p>This archive contains experimental data on Quantitative Trait Loci (QTLs) mapped in <em>Solanacea</em> species (tomato and potato). QTLs were extracted from scientific literature using the QTLTableMiner++ tool. The resulting data are distributed in:</p> <ul> <li><a href="https://sqlite.org/">SQLite</a> database files (.db)</li> <li>CSV files (.csv)</li> <li><a href="https://www.w3.org/TR/turtle/">RDF/</a><a href="https://www.w3.org/TR/turtle/">Turle</a> files (gzip-ed .ttl)</li> </ul>
Description of the HealthyMinorCereals oat (Avena sativa L.) diversity panel and best linear unbiased estimators (BLUEs) of agro-morphological traits
<p>Best linear unbiased estimators (BLUEs) of various agro-morphological traits of oat (Avena sativa) germplasm evaluated in Estonia and the Czech Republic between 2014 and 2019 (9 environments in total) within the FP7 HealthyMinorCereals project.</p>
Fig. 1 in The invasive white ginger lily (Hedichium coronarium) simplifies the trait composition of an insect assemblage in the littoral zone of a Savanna reservoir
Fig. 1. Location and characterization of plant composition banks of Fazzari reservoir in the Brazilian Savanna (Cerrado Biome, Brazil).
Fig. 3 in The invasive white ginger lily (Hedichium coronarium) simplifies the trait composition of an insect assemblage in the littoral zone of a Savanna reservoir
Fig. 3. The average values of CWM-trait values of aquatic insect assemblages in invaded and non-invaded banks by white ginger lily of a reservoir in Brazilian Savanna (Cerrado Biome). A – CWM-FFG, B – CWM-feed, C – CWM-habit, D – CWM body length. CWM, Community level Weight-Mean.
Figure 2 in Soil BON Earthworm - A global initiative on earthworm distribution, traits, and spatiotemporal diversity patterns
Figure 2. Information on studies that will be resampled globally by the Soil BON Earthworm consortium. (A) Global distribution of studies, with the distribution of sites along longitude and latitude, (B) distribution of ecosystem types among studies, (C) localization of sites among terrestrial biomes defined by Mean Annual Temperature (MAT, °C) and Mean Annual Precipitation (MAP, mm), with the distribution of MAT and MAP values, (D) distribution of time span with blue and green colors representing the variable distribution before and after resampling, respectively, (E) Temporal coverage of individual studies.
Figure 3 in Soil BON Earthworm - A global initiative on earthworm distribution, traits, and spatiotemporal diversity patterns
Figure 3. Global distribution of Oligochaeta observations on iNaturalist (assessed on the 16th of November 2023) and longitudinal and latitudinal distribution.
Figure 1 in Life history traits in Bufotes variabilis (Pallas, 1769) from 2 different altitudes in Turkey
Figure 1. Cross-sections at the diaphysis level of a phalanx of a male (A) and a female (B) of Bufotes variabilis individuals (m.c. = marrow cavity, e.b. = endosteal bone). The LAGs are indicated by black arrows.
Fig. 3 in Morphological traits, allometric relationship and competition of two seed-feeding species of beetles in infested pods
Fig. 3. Negative allometry depicted by the slopes and their confidence intervals for the pronotum and elytron allometry (pronotum length and elytron length in relation to body weight) between infestation categories for both bruchine species. G1, low infestation (0–0.30% of attacked seeds); G2, medium infestation (0.31–0.60% of attacked seeds); G3, high infestation (0.61–0.90% of attacked seeds).
Fig. 1 in Morphological traits, allometric relationship and competition of two seed-feeding species of beetles in infested pods
Fig. 1. Variations in body weight, pronotum and elytron length between Merobruchus terani and Stator maculatopygus and for males and females. The analyses used a linear mixed model with a log-normal distribution and Tukey's pairwise comparison. MF, M. terani females; MM, M. terani males; SF, S.maculatopygus females; SM, S. maculatopygus males.
ScienceDex guides
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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.