See Claunch et al., Body size impacts critical thermal maximum measurements in lizards 2020 Journal of Experimental Zoology for details.
NOTE: See also http://bodysize.nescent.org. ABSTRACT: The maximum size of organisms has increased enormously since the initial appearance of life >3.5 billion years ago (Gya), but the pattern and timing of this size increase is poorly known. Consequently, controls underlying the size spectrum of the global biota have been difficult to evaluate. Our period-level compilation of the largest known fossil organisms demonstrates that maximum size increased by 16 orders of magnitude since life first appeared in the fossil record. The great majority of the increase is accounted for by 2 discrete steps of approximately equal magnitude: the first in the middle of the Paleoproterozoic Era (≈1.9 Gya) and the second during the late Neoproterozoic and early Paleozoic eras (0.6–0.45 Gya). Each size step required a major innovation in organismal complexity—first the eukaryotic cell and later eukaryotic multicellularity. These size steps coincide with, or slightly postdate, increases in the concentra...
https://doi.org/10.5061/dryad.kprr4xhb7
These data were collected either from the literature or field/museum specimens. There are two sheets - one recording the maximum length shown by any species at a specific modern site, the second recording the maximum length of the largest recorded species of either a terebratulide or rhynchonellide brachiopod from fossil sites.
The data are arranged in two worksheets. Supplementary Information 1 refers to the data for extant taxa. The data for the two orders of brachiopods (terebratulides and rhynchonellides) are separate. For each record, we give the name of the taxon (NB: we did not revise the taxonomy of these), the maximum length of an individual (in mm), geographic locality, source of the record, latitude (to the nearest half degree) and water depth (in m). Supplementary Information 2 refers to ...
Patch size and isolationPatch size and patch isolation data for the 84 sampling sites.
id: sample point identification patch: patch size (m2) for_dist: distance to the next forest patch (m) nfor_dist: distance to the next non-forest patch (m)frag_isol.txtHabitat amountHabitat amount data for the 84 sampling sites. ID: sampling point identification Buffer: 20, 40, 80, 160 or 320m radius A_for: forest area within the buffer (m2) A_scr: scrub area within the buffer (m2) A_mea: meadow area within the buffer (m2) Habitat: habitat type: FOR (forest), SCR (scrub) or MEA (meadow) S_t: number of macro-moth species S_for: number of forest macro-moth species S_nfor: number of non-forest macro-moth speciesbuffers.txtSAR modelsSAR models data
Area: total area (m2) A_for: forest area (m2) A_nfor: non-forest area (m2) S_for: number of forest macro-moth species S_nfor: number of non-forest macro-moth species S_t: number of macro-moth speciesspec_area.txt
EnergyDensityDatebaseDryadDatabase of intraspecific variation in proximate composition and energy density data for 55 species of fish. Variables: Species; Ref (original reference for data); Median.Latitude (approximate median latitude of sample collection); Median.Longitude (approximate median longitude of sample collection) Capture.Year (year of sample collection); Julian.Median (median julian day (1-365) of sample collection); Julian.Range (length in days of the period over which samples were collected;) N.sample (number of fish per sample, if N > 1 data are composite sample); Length.mm.TL (Fish Total Length (mm); p.Water (% water); p.Protein (% protein); p.Lipid (% lipid); p.Ash (% ash); EnergyDensity.kJ/g (Energy density of fish [kJ per g wet weight]); L_calc (0 if fish length taken from paper, 1 if calculated from weight using weight length relationship); EDtype ("paper" = energy density taken from paper, "ProLip" = calculated from proximate composi...
Bison body size and climate change datasetLocality information: name, geologic age, latitude, longitude, specimen numbers, specimen voucher list, locality summary statistics, GISP2 temperature, linear osteometrics, species, elevation, etc.Bison_fullDB for MS.xlsx
HAEntity-2014HIT staffing data from 2014 from HIMSS Analytics Database consisting of four fields: EMRAM Score, Hospital Type, Number of Staffed Beds, and Total IT FTE
Since our work is related to the cloud fog environment, we have uploaded the relevant coding for the readers reference. The code is basically written in JAVA based ifog simulator.
1) Whether tropical trees acclimate to long-term drought stress remains unclear. This uncertainty is amplified if drought stress is accompanied by changes in other drivers such as the increases in canopy light exposure that might be induced by tree mortality or other disturbances.
2) Photosynthetic capacity, leaf respiration, non-structural carbohydrate (NSC) storage and stomatal conductance were measured on 162 trees at the world’s longest running (15 yr) tropical forest drought experiment. We test whether surviving trees have altered strategies for carbon storage and carbon use in the drier and elevated light conditions present following drought-related tree mortality.
3) Relative to control trees, the surviving trees experiencing the drought treatment showed functional responses including: i) moderately reduced photosynthetic capacity; ii) increased total leaf NSC; and iii) a switch from starch to soluble sugars as the main store of branch NSC. This contrasts with earlier findings ...
Note: AUE stands for “Activity in an Unfamiliar Environment”
Maximum photosynthetic capacity (Vcmax and Jmax), leaf dark adapted respiration, leaf mass per area, leaf thickness and leaf N & P concentrations from 66 small understory trees for the Control and TFE plot at the Caxiuana National Reserve Brazil. Data was collected in August - September 2017.
A domesticus bite forceThese data describe the effects of two rounds of combat and their outcomes on bite forces of A. domesticus males, as well as a control group that did not experience combat.
Birer_et_al_cutants_samplesThis file contains geographic coordinates and other characteristics for each sampleBirer_et_al_cutants_fasta_uniq.tarThis tar.gz file contains 1 zipped fasta file of preprocessed sequencing data (i.e. assembled reads assigned to their original sample), corresponding each to cuticular bacteria amplicons.Birer_et_al_cutants_data_filteredThis txt file contains filtered sequencing data (i.e. after sequence clustering and spurious OTUs removal) corresponding to cuticular bacterial communities associated to Atta cephalotes and Pseudomyrmex penetrator (Formicidae).
We used occurrence data of 183 oak species (Quercus spp.) in North and South America to test how niche breadth and niche position affect the amount of suitable habitat area, and how colonization ability and post-glacial migration lags affect range filling. This dataset includes the data and R files related to the analyses.
data_files
MAX MIN and abundanceMaximum potential body size, minimum reproductive threshold size and abundance counts for old-field species
LeCraw_Ecography_LeafMass_BromSizeDecomposition rate experiment; Figure 1 Raw leaf mass data from leaf packs in all three experimental sites.
Table headings: Site – Experimental Site M0_g – Starting dry leaf mass Mt_g – Final dry leaf mass T_days – length of experiment in days Brom_capacity_mL – Maximum water holding capacity of bromeliad K – Exponential decay constant calculated as (ln(start)-ln(final))/daysLeCraw_Ecography_LeafSp_DecompLeaf litter species comparisons; Figure 2 Raw leaf mass data from leaf species experiment in Brazil.
Table headings: Brom_capacity_ml – Maximum water holding capacity of bromeliad Leaf_Sp – Leaf Species identified by genus Mesh – Mesh size of leaf packs M0_g – Starting dry leaf mass Mt_g – Final dry leaf mass (experiment duration 30 days)
Gagne_etal_EvoApps_SeaOtter_GenotypesGenotype data for all sea otters included in the study.Gagne_etal_EvoApps_SeaOtter_DateOfBirthGenotype data with associated estimated birth year of individuals.Gagne_etal_EvoApps_SeaOtter_wGPSGenotype data with major region and GPS location of sample collection.
McClainetal(2011)Data for bivalves from the Northeast Pacific and Northwest Atlantic were collected through an extensive search of the primary literature and online databases resulting in complete information for 1,578 species from 75 families. Substantial information came from Desbruyeres et al. (2006), Malacolog v. 4.1.1 (Rosenberg 2009), and Coal et al. (2000). The data collected include: taxonomic information from the subclass to species; synonymies; maximum and minimum water depth in meters; maximum and minimum latitude; maximum reported shell length, width, and height in millimeters; habitat type; and ocean basin. Habitat type was broken into fine grain, coarse grain, sediment generalist, hard substrate, hydrothermal vent, methane seep, seamount, wood fall, whale fall, reducing generalist (a generalist on vents, seeps, wood falls, or whale falls) and other, which were primarily made up of commensal bivalves. | Data for gastropods of the Northwest Atlantic were derived from Malacol...
Description of Data and R code FilesThis file contains meta information of the four data files and one file with R scripts used for data analysis and making Figures.Data File 1. Diaspore traitsFor each of the study's tree species, mass, area, and descent rate for 15 individual diaspores.Data File 2. Measured dispersal distancesFor each of the study's tree species, the number of seeds found at each distance, measured in transects from the parent trunk (all transects combined).Data File 3. Parent tree informationFor each of the study's tree species, information of location, DBH, maximum height, median height, crown area, crop size, and seed shadow area of the tree.Data File 4. Transect dataFor each of the study's tree species, the number of seeds found in each quadrat at each distance in each of six (eight) directions from the parent trunk. Area of quadrat is provided.File 5. R scriptsR scripts 1) to make Figures 2 and 5; 2) to fit alternative models to explain variation among diaspores...
See Claunch et al., Body size impacts critical thermal maximum measurements in lizards 2020 Journal of Experimental Zoology for details.