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831 results for “partitioning”

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edi56/100

Partitioning the Components of Soil Respiration in a Trenching Experiment at Harvard Forest 2009-2010

Total soil respiration (Rt) is a combination of autotrophic (Ra) and heterotrophic respiration (Rh). Several methods have been developed to tease out the components of Rt, such as isotopic analyses, and removing Ra input through tree girdling and root exclusion experiments. Trenching involves severing the rooting system surrounding a plot to remove the Ra component within the plot. This method has some potential limitations. Reduced water uptake in trenched plots could change soil water content, which is one of the environmental controllers of Rt in many ecosystems. Eliminating root inputs could reduce heterotrophic decomposition of SOM via lack of priming. On the other hand, the severed dead roots may temporarily increase available carbon substrate for Rh. We utilized the trenching method to partition the autotrophic and heterotrophic components of soil respiration in an oak dominated forest with the footprint of the LPH tower.

openCC0Dec 2023View details →

edi56/100

Partitioning the Components of Soil Respiration in a Trenching Experiment at Harvard Forest 2011

Total soil respiration (Rt) is a combination of autotrophic (Ra) and heterotrophic respiration (Rh). We used a trenching method to sever the rooting system surrounding a plot to remove the Ra component within the plot. We used a custom-made automated chamber system to measure soil respiration within the trenched plot and the control in an oak dominated forest with the footprint of the LPH tower. This method has some potential limitations. Reduced water uptake in trenched plots could change soil water content, which is one of the environmental controllers of Rt in many ecosystems. Eliminating root inputs could reduce heterotrophic decomposition of SOM via lack of priming.

openCC0Dec 2023View details →

edi56/100

Gap Partitioning Among Maples at Harvard Forest 1986-1989

We measured shoot architecture, photosynthesis, survival and growth by seedlings of three shade-tolerant species of maple (Acer pensylvanicum, A. rubrum, A. saccharum) in an experimental test of the gap partitioning hypothesis. Trees were felled to create a total of six cleared, elliptical canopy gaps of two sizes (8m x 12m, 75m2; 16m x 24m, 300m2). Naturally-established, undamaged, unbranched seedlings (15-30 cm tall, 10-20+ years old) of the three study species (2160 total, 720 per species) were transplanted into five plot locations (center and NW, NE, SW, and SE gap edges) within all six gaps and matching understory sites one year before gap creation. All plots were weeded regularly and spaded annually along the edges to remove above and below-ground competition. Measurements of microclimates and non-competitive seedling responses were made over one year before and two years following gap release. Architectural variation increased greatly over the two-year period. Striped maple (A. pensylvanicum) and red maple (A. rubrum) increased branch numbers, leaf numbers, and total leaf areas in gaps, especially large gaps, while sugar maple (A. saccharum) showed much smaller changes. Red maple tended to increase the number of leaves while leaf size decreased; striped maple increased leaf number but held leaf size constant. Diurnal patterns of photosynthesis differed within and between gap and understory sites. Red maple showed higher photosynthetic rates per unit leaf area than striped and sugar maple in all site/plot combinations except the large gap south plots, where striped maple exceeded red maple. Estimated diurnal shoot-level assimilation differentiated species more than unit area assimilation rates, and also altered the rank order of performance, with striped maple above red maple above sugar maple in all microsites except the large gap north. Population-level assimilation versus irradiance response curves exhibited a similar pattern, with red maple dominating unit

openCC0Dec 2023View details →

zenodo52/100

Supplement to: Electron energy partition across interplanetary shocks

Quick Summary: The three files herein comprise supplemental information and standalone datasets for a three-part study of Electron energy partition across interplanetary shocks that describe the modeling of solar wind electron velocity distribution functions (VDFs) near interplanetary shocks observed by the Wind spacecraft.  Part I of the study (published in the The Astrophysical Journal Supplement Series on July 3, 2019 doi:10.3847/1538-4365/ab22bd) describes the methodology and how the two ASCII files (i.e., those stored here) were created and their contents.  Part I also explains the nuances of the analysis, the limitations of the dataset, and how to use the data within the two ASCII files.  Parts II and III (in preparation) present the statistical results and the detailed analysis of these results in the context of the dependence on relevant interplanetary shock parameters.  Below are the descriptions of each data product starting with the PDF supplemental file to the three-part study and then the associated ASCII files.  First we provide some background/definitions of jargon and terms used in each. Solar Wind Electrons: The solar wind electron VDF below ~1 keV is comprised of cold, dense core (subscript c or ec) population with thermal energies typically in the ~5-15 eV range, a hot, tenuous halo (subscript h or eh) population with thermal energies typically >20-30 eV, and an anti-sunward, field-aligned beam called the strahl or beam/strahl (subscript b or eb) population with thermal energies typically ~few 10s of eV.  Most previous work modeled the core as a bi-Maxwellian and the halo and beam/strahl as bi-kappa VDFs.  The work described in Part I (and the PDF supplement stored here) show that the core is more accurately described by a self-similar model VDF, which reduces to a bi-Maxwellian under appropriate conditions/limits and deviation from Maxwellian quantifies inelasticity in the plasma collisions.  That is, if the plasma were controlled by elastic Coulomb particle-particle collisions (e.g., in the low corona or chromosphere or photosphere), the VDF would relax to a Maxwellian in the absence of other forces.  When the plasma particles undergo inelastic collisions, the VDF profile changes from a Gaussian to something more like a "flattop" or box-like shape. Wind Spacecraft: The Wind spacecraft (<a href="http://wind.nasa.gov">https://wind.nasa.gov</a>) was launched on November 1, 1994 and currently orbits the first Lagrange point between the Earth and sun.  It holds a suite of instruments from gamma ray detectors to quasi-static magnetic field instruments, Bo.  The instruments used in this study and these datasets are the fluxgate magnetometer (MFI), the radio receivers (WAVES), ion Faraday cups (SWE), and the electron and ion electrostatic analyzers (3DP).  The MFI measures 3-vector Bo at ~11 samples per second (sps); the SWE measures reduced VDFs of the thermal proton and alpha-particle populations from which velocity moments are derived and used herein; WAVES observes electromagnetic radiation from ~4 kHz to >12 MHz which provides an observation of the upper hybrid line (also called the plasma line) used to define the total electron density; and 3DP observes full 4π steradian VDFs of electrons and ions from a few eV to ~30 keV which provide both ion velocity moments and the electron VDFs modeled herein. PDF Supplement Description: The PDF document contains descriptions and definitions of relevant interplanetary shock parameters and shock analysis techniques used by the Harvard Smithsonian Center for Astrophysics' Wind shock database at <a href="https://www.cfa.harvard.edu/shocks/wi_data/">https://www.cfa.harvard.edu/shocks/wi_data/</a>.  It describes the details of the symbols/parameters used on the database website and their translation to plasma parameters or shock parameters.  The PDF also defines the shock normal finding techniques listed as two-four character inputs on the database website.  The PDF file lists the shocks analyzed and their relevant parameters in two tables, with the second listing the relevant critical Mach numbers.  Next the PDF provides some extra statistics of the analysis performed in the three-part study on Electron energy partition across interplanetary shocks in the form of histograms comparing differences for different selection criteria (e.g., low versus high Mach number shocks).  Finally, there are detailed descriptions and definitions of the model functions used to fit to the solar wind electron VDFs. Both ASCII files have detailed headers outlining and defining the parameters contained therein.  They also provide column headings where the labels/names of each are defined and/or described in the header.  The headers also provide links to the analysis software used to perform the model fits to the VDFs.  We will first describe the contents of the file labeled Wind_ip_shock_3dp_fit_constraints_electrons.txt (FCONSTS for brevity) and then the file labeled Wind_ip_shock_3dp_fit_results_electrons.txt (FRESULTS for brevity).  Below use the following definitions: <ul> <li>\(N_{s}\) = number density of species s [cm-3] (s = ec for core, eh for halo, eb for beam/strahl, p for proton, etc.)</li> <li>\(B_{o, j}\)= jth component (GSE coordinate basis) of quasi-static magnetic field vector [nT]</li> <li>\(V_{Ts, j}\) = jth component (relative to Bo) of thermal speed of species s [km/s] <ul> <li>\(V_{Ts,j} = \sqrt{{2 k_{B} T_{s,j} \over m_{s}}}\), where \(T_{s, j}\) is the jth component (relative to Bo) of the temperature of species s [eV]</li> </ul> </li> <li>\(V_{os, j}\) = jth component (relative to Bo) of drift speed of species s [km/s] in ion rest frame</li> <li>\(V_{s, j}\) = jth component (GSE coordinate basis) bulk velocity of species s [km/s] in spacecraft frame</li> <li>\(T_{s, tot} = {1 \over 3} (T_{s, \parallel} + 2 \ T_{s, \perp})\), where \(\parallel(\perp)\) is the parallel(perpendicular) component relative to Bo</li> <li>\(s_{es}\) = exponent for the symmetric self-similar model VDF of species s</li> <li>\(\kappa_{es}\) = kappa value for the bi-kappa VDF of species s</li> <li>\(p_{es}(q_{es})\) = parallel(perpendicular) exponent for the asymmetric self-similar model VDF of species s</li> <li>\(\chi_{s}^{2}\) = least chi-squared of fit to species s</li> <li>\(\phi_{sc}\) = spacecraft electric potential [eV]</li> <li>\(\delta R = \lvert 1 - Median(f^{data}/f^{model}) \rvert\) = excess median deviation of fit [%]</li> </ul> FCONSTS File Description: The FCONSTS file contains all the pertinent information used during the fit process for all VDFs that were analyzed including the fit results.  The columns are organized by electron component from core to halo to beam/strahl, in that order, sorted by the time stamp (UTC) of the observed VDF (very first column).  The first column in each set of electron component groups is a numerical indicator of the fit status for that component of the ith VDF.  This is followed by 30 columns consisting of 5 sets of 6 numbers.  Each model function has six fit parameters:  \(N_{s}\) [0], \(V_{Ts, \parallel}\) [1],  \(V_{Ts, \perp}\) [2],  \(V_{os, \parallel}\) [3],  \(V_{os, \perp}\) [4] (or \(p_{es}\) for asymmetric self-similar model VDF), and exponent of fit (i.e., \(s_{es}\), \(\kappa_{es}\), or \(q_{es}\)).  Thus, there are six columns for each of the following for each of the three components (i.e., 18 columns for each of the following in total):  initial guess values, returned fit values, lower limit constraints, upper limit constraints, and a logical value indicating whether the ith fit value sits on the lower (-1) or upper (+1) limit or neither (0).  These columns are followed by four more containing the number of iterations necessary to find the fit values, the least chi-squared value of the fit, the degrees of freedom in the fit process, and a two-letter designator of the model fit function used (defined in the ASCII file header). FRESULTS File Description: The FRESULTS file contains the fit results used in the three-part study.  Again, the first column starts each row with the time stamp (UTC) of the observed VDF.  In the following, all parameters listed with subscript j will correspond to three columns (one for each component) except the drift velocities which only have two for \(\parallel(\perp)\).  That is followed by:  \(N_{p}\) (SWE), \(N_{\alpha}\) (SWE), \(N_{i}\) (3DP), \(T_{p, j}\) (SWE), \(T_{\alpha, j}\) (SWE), \(T_{i, j}\) (3DP), \(B_{o, j}\) (MFI), \(V_{p, j}\) (SWE), \(V_{\alpha, j}\) (SWE), \(V_{i, j}\) (3DP), \(\phi_{sc}\) (multiple instruments), \(\delta R\) (3DP),  \(N_{ec}\) (fit), \(T_{ec, j}\) (fit), \(V_{oec, j}\) (fit), \(\kappa_{ec}\) (fit), \(s_{es}\) (fit), \(p_{es}\) (fit), \(q_{es}\) (fit), reduced \(\chi_{ec}^{2}\) (fit), core fit status, and repeats for the halo and beam/strahl fits.  The last four columns contain, in the following order, the total reduced chi-squared of the model fit of all components combined and fit flags (0 = worst, 10 = best) for each electron component.  Note that all possible exponents are provided for each component but only the one that is not set as a fill value corresponds to the functional form used to model that electron component (e.g., if \(s_{ec}\) is the only non-fill exponent for the core, then the core was modeled as a symmetric self-similar VDF).

opencc-by-4.0May 2019View details →

zenodo48/100

Toluene/Water Partition Coefficient Database

In recent years the use of partition systems other than the widely used biphasic n-octanol/water has received increased attention to gain insight into the molecular features that dictate the lipophilicity of compounds. Thus, the difference between n-octanol/water and toluene/water partition coefficients has proven to be a valuable descriptor to study the propensity of molecules to form intramolecular hydrogen bonds and exhibit chameleon-like properties that modulate solubility and permeability. In this context, a dataset of 252 unique molecules with experimentally determined toluene/water partition coefficient is deposited here.

opencc-by-4.0Apr 2023View details →

edi48/100

Biomass totals and root biomass (partitioned by percent of total leaf area) for species, tissue type, and functional group for the Arctic LTER experimental 1981 mesic acidic tussock tundra (MAT81) for the 2000 and 2015 harvests, Toolik Field Station, Alaska.

Whole plant biomass totals and root biomass (partitioned by percent of total leaf area) for species, tissue type, and functional group for the Arctic LTER experimental 1981 mesic acidic tussock tundra (MAT81) for the 2000 and 2015 harvests. Because most of the root biomass could not be identified to species in either 2000 or 2015, the calculation of root biomass and element content for roots not identified to species was estimated by the proportion of those species’ contributions to total leaf area. Specific Leaf Area (SLA = leaf area per gram leaf, centimeter squared per gram) values were available from several previous harvests of this experiment; in the present study, we used measurements from the 1995 harvest (Shaver et al. 2001).

openCC (other)Sep 2025View details →

zenodo44/100

Dataset for the paper "Typology of partitives", Linguistics

This is the raw dataset for the paper "Typology of partitives", accepted for publication in Linguistics

opencc-by-4.0Nov 2020View details →

zenodo44/100

Dataset for "Partitioned fault movement and aftershock triggering: evidence for fault interactions during the 2017 Mw 5.4 Pohang earthquake, South Korea"

This repository contains the seismograms of the Korea Institute of Geoscience and Mineral Resources (KIGAM) and the Korea Institute of Nuclear Safety (KINS) used in Son et al. (2020). The uploaded waveforms were filtered according to the Supporting Information of Son et al. (2020). Continuous waveforms are available via the Korea Meteorological Administration (KMA; http://necis.kma.go.kr). Suggested citation: Son, M., Cho, C. S., Lee, H. K., Han, M., Shin, J. S., Kim, K., Kim, S. (2020). Partitioned fault movement and aftershock triggering: evidence for fault interactions during the 2017 Mw 5.4 Pohang earthquake, South Korea. Journal of Geophysical Research: Solid Earth, e2020JB020005. <a href="https://doi.org/10.1029/2020JB020005">https://doi.org/10.1029/2020JB020005</a>

opencc-by-4.0Nov 2020View details →

zenodo44/100

Supplemental data and code for "Global patterns in water flux partitioning: Irrigated and rainfed agriculture drives asymmetrical flux to vegetation over runoff"

This dataset provides all data compiled and generated for the manuscript entitled "Global patterns in water flux partitioning: Irrigated and rainfed agriculture drives asymmetrical flux to vegetation over runoff" (https://doi.org/10.1016/j.oneear.2023.08.002). This includes the boundaries for 3614 hydrological catchments, the curated data used for analysis and modelling, the developed machine learning model, shapley values and area of applicability results, and data for global extrapolation It also contains a markdown file ('code.html') which shows how to access and use the data, and generic sample codes used to generate these results.

opencc-by-4.0May 2022View details →

zenodo44/100

Identification of Thalweg and Ridge Networks as Landmarks for Terrain Partitioning

Grid digital elevation models having resolution of 1 m or less are increasingly available to scientists and engineers interested in describing current state and evolution of Earth and space topography. Significant information loss is, however, clearly observed when existing terrain analysis methods are used in geophysical modeling, especially when coarse meshes are needed for computational efficiency. The present study shows how thalweg and ridge networks can be extracted automatically from any high-resolution grid digital elevation model without the need to alter the observed topographic data, and how these networks can be used as landmarks for terrain partitioning. The slopeline network extracted in grid digital elevation models is used to determine ridge points, related average rejunction lengths of slopelines extending from ridge points on opposite slopes, exorheic and endorheic basins. Exorheic and endorheic basins are connected through the spilling saddles from endorheic basins to form the thalweg network, and the related ridge network is identified. The obtained thalweg and ridge networks are characterized by using the known concept of drainage area and the new concept of spread area to provide physically meaningful landmarks for terrain partitioning at the desired level of detail. Although the developed methods are inspired by the observation of gravity-driven processes, they support any investigation in Earth and space science where thalweg and ridge networks are relevant topographic features. Potential impacts are exemplified by quantifications of preserved depressions over a mountain area and benefits from physically meaningful unstructured terrain partitioning in surface flow propagation over a complex floodplain.

opencc-by-4.0Aug 2022View details →

zenodo44/100

Ideal gas thermodynamic functions for NO from the total partition sum and its moments

to be published in the Journal of Physical and Chemical Reference Data             The total internal partition sum, Qint(T), and the translational partition sum, Qtrans(T), were computed for six isotopologues of NO: 14N16O, 15N16O, 14N18O, 14N17O, 15N18O, 15N17O.  These were used to determine the total partition sum, Q (T), and its first and second moments, Q'(T), and Q"(T) .  The total internal partition sum was computed using term values determined using the term values of Qu et al. [MNRAS, 504, 5768-5777, (2021)] for 14N16O and Wong et al. [MNRAS, 470, 882-897, (2017)] for the other isotopologues.  These term values are the best available and hence provide the most accurate total internal partition sums and its first and second moments.  The uncertainties in Qint(T), its moments, and the resulting thermodynamic functions were determined in terms of the uncertainty in the term values and the uncertainty due to the convergence of the partition sum and its moments.  From these quantities the isobaric heat capacity, the Helmholtz energy, the entropy, the enthalpy, the Gibbs function, and the JANAF [Chase et al., J. Phys. Chem. Ref. Data, 14, 1-856, 1985] functions: hef, and gef and their uncertainties were computed on a 1 K grid from 1 to 9000 K.  The data are compared with the literature values.  The resulting thermodynamic quantities are the most accurate determined from direct summation of Q(T), Q'(T), and Q"(T).

opencc-by-4.0Jul 2024View details →

zenodo44/100

Data for: Klein et al., Viscosity of aqueous ammonium nitrate--organic particles: Equilibrium partitioning may be a reasonable assumption for most tropospheric conditions, egusphere-2024-1459

Experimental data This folder contains the experimental and modelled data to the figures shown in the main manuscript and Appendix. Figure 3B AIOMFAC-VISC (AIOMFAC-VISC modelling of sucrose) Figure 3B Experimental (Viscosity measurements of sucrose) Figure 4 (Viscosity measurements of ammonium nitrate - sucrose - water mixtures) Figure 5 A and C (Viscosity estimations of ammonium nitrate - sucrose - water mixtures using mixing rules) Figure 5 B and D (Viscosity estimations of ammonium nitrate - sucrose - water mixtures using AIOMFAC-VISC) Figure 6 (Viscosity estimations of inorganic - sucrose - water mixtures using mixing rules) Figure 7 (Mixing times for ammonium nitrate - sucrose - water and Toluene SOA - sucrose - water aerosol particles for varies cities)  Figure A2 (Viscosity estimations of ammonium nitrate - sucrose - water mixtures using a mass fraction based mixing rules)

opencc-by-4.0May 2024View details →

zenodo44/100

Influence of the cochlear partition's flexibility on the macro mechanisms in the inner ear

This repository contains the research data for the article Kersten, S., Taschke, H., & Vorländer, M. (2024). Influence of the cochlear partition’s flexibility on the macro mechanisms in the inner ear. Hearing Research, 109127. <a href="https://doi.org/10.1016/j.heares.2024.109127">https://doi.org/10.1016/j.heares.2024.109127</a>. It includes a finite element model of the inner ear, simulation results, and a Python script with code used for the analysis. <div> <h2>Abstract</h2> <div> <div>Recent studies have highlighted the anatomy of the cochlear partition (CP), revealing insights into the flexible nature of the osseous spiral lamina (OSL) and the existence of a flexible cochlear partition bridge (CPB) between the OSL and the basilar membrane (BM). However, most existing inner ear models treat the OSL as a rigid structure and ignore the CPB, neglecting their potential impact on intracochlear sound pressure and motion of the BM. In this paper, we investigate the effect of the CP’s flexibility by including the OSL and CPB as either rigid or flexible structures in a numerical anatomical model of the human inner ear. Our findings demonstrate that the flexibility of the OSL and the presence of the CPB significantly affect cochlear macro mechanisms, including differential intracochlear sound pressure, resistive behavior in cochlear impedances, CP stiffness, and BM velocity. These results emphasize the importance of considering the flexibility of the entire CP to enhance our understanding of cochlear function and to accurately interpret experimental data on inner ear mechanics.</div> </div> </div>

opencc-by-4.0Oct 2024View details →

zenodo44/100

Partitioned linkage disequilibrium scores for active regulatory elements in ROADMAP datasets

Partitioned linkage disequilibrium scores for active regulatory elements in ROADMAP epigenomics datasets, to accompany paper Lynall et al 2021 Accompanying code available at https://github.com/maryellenlynall/psychimmgen2021 Active regulatory elements annotations are a union of the following IDEAS annotations, representing enhancers and active promoters (see http://bx.psu.edu/~yuzhang/Roadmap_ideas/trackDb_test.txt for IDEAS track hubs):  4_Enh 6_EnhG 8_TssAFlnk 10_TssA 14_TssWk 17_EnhGA tissues.txt provides the list of ROADMAP tissues  The partitioned_LD_scores folder contains partitioned LD scores in a format suitable for stratified LDSC analysis for European participants

opencc-by-4.0Aug 2021View details →

zenodo44/100

Structural constraints in current stomatal conductance models preclude accurate estimation of evapotranspiration and its partitions

This archive includes the scripts and related input data to produce results for the paper entitled - "Structural constraints in current stomatal conductance models preclude accurate estimation of evapotranspiration and its partitions". Following is the description of files/folders: 1. Input_Data: This folder contains all the required input data including FluxNet data, soil properties, quality controlled training-validation data, and metadata & other supporting information of the sites.  2.  Model_EMP: This folder contains all the scripts for empirical model of stomatal conductance. (Note: Scripts have been written in MATLAB"). No need to change anything except the MATLAB executive path in two files "run_all_tasks_to_optimize_params.sh" and "prediction.sh". Read "ReadMe.txt" file in the folder "Model_EMP" for more instructions on running the model.  3. Model_ML: This folder contains all the scripts for pure machine learning model of stomatal conductance. It contains four sub-folders: 1. Model_Config_1 (Model with configuration-1); 2. Model_Config_2_TEA (Model with Configuration-2 & TEA-based T estimates); 3. Model_Config_2_uWUE (Model with Configuration-2 & uWUE-based T estimates); 4. Model_Config_2_Yu22 (Model with Configuration-2 & Yu22-based T estimates). Further instructions have been given in each jupyter notebooks. Briefly, in folder "Model_Config_1", the notebook "train_ML_config_1.ipynb" trains the model parameters and notebook "Predictions_ML_config_1" is used to do predictions. Similar instructions apply for other subfolders. (Note: Scripts have been written in Python Language"). All the scripts are fully functional as long as all the required modules are installed. 4. Model_PH_exp: This folder contains all the scripts for plant hydraulics model with explicit representation. All the scripts are self explanatory and further instructions are provided in the scripts as needed. (Note: Scripts have been written in Python Language"). All the scripts are fully functional as long as all the required modules are installed. 5. Model_PN_imp: This folder contains all the scripts for plant hydraulics model with implicit representation. Instructions given for "Model_ML" are applicable here. (Note: Scripts have been written in Python Language"). All the scripts are fully functional as long as all the required modules are installed.   Versions: Tensorflow 2.11.0, MATLAB_R2022a, Python 3.10.9

opencc-by-4.0Mar 2023View details →

edi44/100

An Isotopic Approach to Partition Evapotranspiration in a Mixed Deciduous Forest at the University of Michigan Biological Station, Pellston, MI (2017)

Transpiration (T) is perhaps the largest fluxes of water from the land surface to the atmosphere and is susceptible to changes in climate, land use and vegetation structure. However, predictions of future transpiration fluxes vary widely and are poorly constrained. Stable water isotopes can help expand our understanding of land–atmosphere water fluxes but are limited by a lack of observations and a poor understanding of how the isotopic composition of transpired vapour (δT) varies. Here, we present isotopic data of water vapour, terrestrial water and plant water from a deciduous forest to understand how vegetation affects water budgets and land–atmosphere water fluxes. We measured subdiurnal variations of δ18OT from three tree species and used water isotopes to partition T from evapotranspiration (ET) to quantify the role of vegetation in the local water cycle. We find that δ18OT deviated from isotopic steady‐state during the day but find no species‐specific patterns. The ratio of T to ET varied from 53% to 61% and was generally invariant during the day, indicating that diurnal evaporation and transpiration fluxes respond to similar atmospheric and micrometeorological conditions at this site. Finally, we compared the isotope‐inferred ratio of T to ET with results from another ET partitioning approach that uses eddy covariance and sap flux data. We find broad midday agreement between these two partitioning techniques, in particular, the absence of a diurnal cycle, which should encourage future ecohydrological isotope studies. Isotope‐inferred estimates of transpiration can inform land surface models and improve our understanding of land–atmosphere water fluxes.

openCC (other)Sep 2025View details →

edi44/100

Respiration, isotope composition, and carbon source partitioning from incubations of soil amended with litter and isotope-labeled lignin

We incubated 10 forest soils (collected from sites across North America, including the Luquillo LTER/CZO) in the laboratory for over two years to quantify the decomposition of carbon derived from added litter and lignin, as well as from extant soil organic matter. Each soil was subjected to two substrate addition treatments: a) litter derived from a C4 grass precipitated with 13C-enriched lignin, or the same C4 grass litter was precipitated with natural-abundance lignin. The concentrations and delta13C composition of carbon dioxide produced from each soil were measured periodically over time and partitioned into sources (soil organic matter, litter, and added lignin) using isotope mixing models. The methods and results are described in detail by a manuscript in Ecology (Hall et al., 2020).

openCC (other)May 2020View details →

zenodo40/100

Fig. 2 in Intraspecific food resource partitioning in Brazilian silverside Atherinella brasiliensis (Atheriniformes: Atherinopsidae) in a tropical estuary, Brazil

Fig. 2. Box-plot of spatial and temporal variation of number of individuals (CPUE average ±SE) and Biomass (±SE) of A. brasiliensis collected Mamanguape river estuary in Brazil. Bold lines indicate medians, hinges indicate the 25th and 75th percentiles, whiskers indicate the largest and smallest observation within a distance of 1.5 the box size. White bar= Wet season and Dark Gray bar= Dry season.

opencc-by-4.0Jul 2019View details →

zenodo40/100

Fig. 5 in Intraspecific food resource partitioning in Brazilian silverside Atherinella brasiliensis (Atheriniformes: Atherinopsidae) in a tropical estuary, Brazil

Fig. 5. Principal coordinate analysis ordination (PCO) coded by habitat (a) and size classes (b) for Atherinella brasiliensis in the Mamanguape River estuary, Brazil. Symbols Habitat: Mud flat (Full Black Triangle); Tidal Creek 1 (Gray Square); Tidal Creek 2 (Black Circle); Symbols size classes: Small juveniles (Open Black Square); Juveniles (Light Gray Circle) and Adults (Dark Gray Circle).

opencc-by-4.0Jul 2019View details →

zenodo40/100

Fig. 7 in Intraspecific food resource partitioning in Brazilian silverside Atherinella brasiliensis (Atheriniformes: Atherinopsidae) in a tropical estuary, Brazil

Fig. 7. Feeding strategy for Atherinella brasiliensis in Mamanguape river estuary: A= Mudflat; B= Tidal Creek 1 and C= Tidal Creek 2. Food items: Cyc, Cyclopoida; Cal, Calanoida; Dec, Decapoda; Decl, Decapoda larvae; Hym, Hymnoptera; Egf, Fish eggs; Cer, Ceratopogonidae larvae; Ost, Ostracoda; Gas, Gastropoda; Pol, Polychaeta; Esc, Scale. (TL1= small juveniles; TL2= juveniles and TL3= adult).

opencc-by-4.0Jul 2019View details →

ScienceDex guides

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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.

allen-brain-atlas

neuroscienceopenDocumentation, web resources, and API references are available online.

Last verified 2026-04-30Open record

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.

abode-home-cage

behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.

Last verified 2026-04-30Open record

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.

dandi-nwb

electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.

Last verified 2026-04-30Open record

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.

ibl

behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.

Last verified 2026-04-29Open record

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.

openneuro

neuroscienceopenPublished datasets are available on demand over the internet.

Last verified 2026-04-29Open record