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6,498 results for “Physicality”
The Physics of Stratum Corneum Lipid Membranes
<p>Topologies, force-fields and final configurations for the SC lipid systems for which results have been included in the paper "The physics of stratum corneum lipid membranes", by Chinmay Das and Peter D. Olmsted, to be published in Philosophical Transactions A, 2016. (Preprint available at http://arxiv.org/abs/1510.08939 )</p> <p> </p>
Physical Activity is Associated with Reduced Implicit Learning but Enhanced Relational Memory and Executive Functioning in Young Adults
<p>This file contains all data reported in the main analyses of our paper, including age, gender, BMI, Stroop effect, implicit learning sessions 1 and 2, relational memory, and all physical activity variables</p>
Synthesis and physical properties of (Zr1-x,Tix)3AlC2 MAX phases
<p>XRD raw data for the synthesis of (Zr<sub>1-x</sub>,Ti<sub>x</sub>)<sub>3</sub>AlC<sub>2</sub> MAX phases</p>
Physical-Layer Fingerprinting of LoRa devices using Supervised and Zero-Shot Learning
<p>This dataset contains all raw signals (complex float I/Q samples) used in the LoRa fingerprinting experiments of the paper entitled "Physical-Layer Fingerprinting of LoRa devices using Supervised and Zero-Shot Learning". There are 4 databases included: lora1msps, lora2msps, lora5msps, and lora10msps. Each document in the databases is a symbol extracted from a 4-byte random payload LoRa frame, transmitted by a RN2483 radio and received by a USRP B210 sampling at a rate corresponding to the database name. A total of 22 different transmitters were used. For more information, please consult the paper. The document structure is as follows:</p> <ul> <li>_id: Unique MongoDB document ID</li> <li>chirp: Base 64 encoded binary float complex I/Q data</li> <li>field: Symbol location inside a LoRa frame</li> <li>tag: Name of the device that sent the frame</li> <li>date: Time and date of reception</li> <li>fn: Frame number</li> <li>rand: Random number for sorting</li> </ul> <p><strong>How to import</strong></p> <p>Extract the tar archive. Inside the directory, run the following command to import the lora2msps database:</p> <p><em>mongorestore --gzip -d lora2msps ./lora2msps</em></p> <p>This process can be repeated for each dataset. Alternatively, all datasets can be imported automatically by executing:</p> <p><em>mongorestore --gzip . </em></p> <p><strong>How to use</strong></p> <p>After the data has been imported, an experiment can be run by simply providing the corresponding config file to tf_train (see https://github.com/rpp0/lora-phy-fingerprinting), e.g.:</p> <p><em>./tf_train.py train conf/experiment_lora2msps_mlp.conf</em></p>
Inconsistency Situations in Engineering of Cyber-Physical Systems
<p>This dataset provided describes inconsistency situation descriptions in the Engineering of Cyber-Physical Systems found in industry environments. It includes 19 situations from 17 industry participants. The participants are mostly from automotive engineering, but also special machine construction and production automation are represented as industries. The 9 involved companies equaly represent Original Equipment Manufacturers (OEM) and Tier-1 suppliers. This dataset will be extended within our future work.</p>
Kappa matrices presented in "An EFT approach to baryon number violation: lower limits on the new physics scale and correlations between nucleon decay modes" arXiv:2312.13361
<p>In this archive we provide the kappa matrices introduced in Sec 2.4 of our paper <em>An EFT approach to baryon number violation: lower limits on the new physics scale and correlations between nucleon decay modes</em> <a href="https://arxiv.org/abs/2312.13361">2312.13361</a>, also <a href="https://link.springer.com/article/10.1007/JHEP07(2024)004">published in JHEP</a>. These are the numerical values that are presented as matrix plots in Appendix C. Here they are packaged into CSV files, whose first row is the row/column label.</p> <p>Please consult the README for further information on how to use these data.</p> <p><em>Version 3: Fixed error common to d=7 matrices.</em></p>
WACCM-X simulated data for Wu et al. (2023) "Investigation of the physical mechanisms of the formation and evolution of equatorial plasma bubbles during a moderate storm on September 17, 2021"
<p>This dataset contains all the data related to WACCM-X simulated result figures in article "Investigation of the physical mechanisms of the formation and evolution of equatorial plasma bubbles during a moderate storm on September 17, 2021". The data includes simulated hmF2 data over the equatorial region for September 17th, 2021, during 18-23UT, from WACCM-X simulations; RTI data at 250-400km altitude for September 16th and 17th, 2021, obtained from WACCM-X simulated results during 18-23UT; Individual integrated components data of the RTI calculation at 350km altitude for September 16th and 17th, 2021, during 18-23UT, derived from WACCM-X simulations; Total zonal electric fields, PPEF zonal electric fields, Total vertical plasma drifts, and PPEF vertical plasma drifts data for September 16th to 17th, 2021 at 0 longitude between 40°S and 40°N latitude, spanning 0-24UT, from WACCM-X simulations.</p>
STEMMUS-SCOPE for PLUMBER2: A Physically Consistent Dataset Across the Soil-Plant-Atmosphere Continuum
<p>High-quality and long-term measurements of water, energy, and carbon fluxes between the land and atmosphere are critical for climate monitoring and land surface model (LSM) benchmarking. This dataset presents high-quality and long-term fluxes, and the corresponding above and below-ground hydrological, physiological, photosynthetic and radiative data derived from the STEMMUS-SCOPE model simulations for the PLUMBER2 project at 170 FLUXNET sites. The generated datasets by STEMMUS-SCOPE are in good agreement with quality in-situ measurements. Therefore, we recommend future applications of the datasets, for such as the detection and attribution of historical changes of fluxes and SM and associated extreme events, providing the initial and boundary conditions for atmospheric models, benchmarking various types of models, and monitoring drought risks. The published dataset can contribute to the development of earth system models in better representing land surface processes and land-atmosphere exchanges in forms of energy, water, and carbon.</p>
Quantifying the Impact of Vertical Resolution on the Representation of Marine Boundary Layer Physics for Global-Scale Models
<p>Data supporting the findings of DOI: 10.1175/MWR-D-23-0078.1, a 2023 Monthly Weather Review publication with the same title as this dataset.</p>
PhiPiPi Dataset for our paper "Event Generation and Consistence Test for Physics with Sliced Wasserstein Distance"
<p>The PhiPiPi dataset is used to train and test our fast event simulation model for our paper "Event Generation and Consistence Test for Physics with Sliced Wasserstein Distance" in <a href="https://arxiv.org/abs/2310.17897">https://arxiv.org/abs/2310.17897</a>. The dataset is generated by BES III simulation framework to simulate phase-space Monte Carlo events, focusing on the production of psi(2S) in electron-positron annihilation. This intricate process entails the psi(2S) decay into a trio of particles: phi, pi+, and pi-, with the phi particle subsequently decaying into a K+ and K- pair.</p><p>We have meticulously partitioned the data into distinct sets for training, validation, and testing to facilitate a robust machine learning workflow. Each set is systematically saved in the convenient npy format for ease of access and integration.</p><p>The dataset contains the four-momentum components (px, py, pz, E) of the final-state particles: K+, K-, pi+, and pi-. This comprehensive inclusion ensures a detailed representation of the kinematic properties of the particles for accurate model training.</p><p>Researchers and practitioners are invited to use this dataset by incorporating it into our public code repository: <a href="https://github.com/caihao/SWD-EvtGen">https://github.com/caihao/SWD-EvtGen</a>. Doing so will enable the training of our fast event simulation model, enhancing the fidelity and efficiency of high energy physics simulations.</p>
Acoustic data and Loading Regime of Two Rock Physics Experiments carried out on INOVA-1000 test-complex, Borok, Russia
<p>Dataset linked to a manuscript under revision: <strong>"Source parameters of laboratory acoustic emission events estimated from the coda of waveforms"</strong>. Two experiments carried out on cilindrical samples (D30xH60mm) of Berea sandstone and granite of Voronezh crystal massif (Russia). Each experimental dataset contains: acoustic records from 16 sensors, the appearance of acoustic emission events during the experiment, velocities of P-waves changing in time, loading regime, i.e. confining pressure and axial loading curves, results of source characteristics analyses from coda-waves: corner frequencies, relative seismic moments and relative stress-drops. </p>
Dataset related to the publication E. Fasci et al., Sensors and Actuators: A. Physical 362 (2023) 114632 (https://doi.org/10.1016/j.sna.2023.114632)
<p>file <i>Allan analysis.xlsx</i>: Allan-Werle deviation analysis of the measured ring down times. From these data a minimum detectable absorption coefficient of 6.5x10^-12 cm^-1 can be inferred, being the ring-down time under vacuum conditions about 127.5 us.</p><p>file <i>Water mole fraction VS time.xlsx</i> : Time development of the CRDS measured water mole fraction with a N_2 flow rate of 2 l/min. The gas pressure was set to the constant value of 2666 Pa. Each data point was retrieved from the recording of a full absorption spectrum of the H_2O 3_(2,2)→2_(2,1) transition, belonging to nu_1 + nu_3 vibrational band.</p><p>This work was done within the project PROMETH2O (EMPIR 20IND06), which received funding from the EMPIR programme cofinanced by the Participating States and from the European Union's Horizon 2020 research and innovation programme. </p>
Exploring Localized Geomagnetic Disturbances in Global MHD: Physics and Numerics (Model Data)
<p>Model Data to reproduce plots from article "Exploring Localized Geomagnetic Disturbances in Global MHD: Physics and Numerics". README contains information on where to access model and visualization tools.</p>
Reception of a physical activity intervention program in German older adults. Data from a feedback analysis of PROMOTE II.
<p>As part of the<strong> AEQUIPA </strong>prevention research network, the aim of the <strong>PROMOTE II</strong> study was to gain insights into primary prevention for healthy aging. One focus was on the development and dissemination of ready-to-use tools and work aids to promote physical activity.</p><p>As part of a nine-month randomized trial with a cross-over design among adults aged 60 and above, eligible participants from 14 districts in Bremen in proximity to the two study centers (one in the North and one in the East of the city of Bremen, Germany) were randomly assigned to either a) a print-based intervention (PRINT) or b) a web-based intervention (WEB). Randomly selected thirty percent of the web-based intervention group received an activity tracker in addition (WEB+).</p><p>Usage of program components, attendance of group sessions and acceptance of the intervention were assessed via self-administered paper-based questionnaires three and nine months after baseline as well as feedback interviews and class recordings. Participant feedback was analyzed using quantitative methods on a descriptive basis, as well as using qualitative content analysis of open-ended questions, group-interviews and protocols based on the socio-ecological model as coding framework.</p><p>This publication provides the coding matrix, including the participant feedback data.</p>
Dataset for the publication titlted "A computational mechanics model for producing molecular assembly using molecularly woven pantographs" in the journal Cell Reports Physical Science, authored by Byeonghwa Goh and Joonmyung Choi.
<p>Dataset for the publication titlted "A computational mechanics model for producing molecular assembly using molecularly woven pantographs" in the journal Cell Reports Physical Science, authored by Byeonghwa Goh and Joonmyung Choi.</p>
Native herbivore browsing alters plant physical and chemical traits in a eucalypt forest understory
<p>Macropods exhibit selective herbivory on plant traits within and between species and hence can alter plant trait variation. In this study we asked, what are the effects of macropod herbivory on intraspecific variation in plant traits of forest understorey species? We tested the effects of herbivory by macropods on eight plant traits, in nine understorey species using a herbivore exclusion experiment. Generalised linear mixed models were used to test for differences between herbivory treatments in trait means as well as variation within species and at the community level. Macropod herbivory resulted in differences in either the mean trait value or trait variance within a species for seven of the eight tested plant traits. Macropod exclusion resulted in larger dimensions of size for most species, as well as changes in specific leaf area, moisture content, and carbon content of leaves. Further, community-weighted means of specific leaf area, moisture content, and leaf nitrogen were lower in the presence of macropods. Plant trait variance was altered for three of the seven community weighted traits. This study demonstrates a mechanism through which macropods can drive changes in the traits of understorey plant species. Plant traits have been linked to various larger scale ecological processes including ecosystem flammability, nutrient cycling, response to global change and habitat suitability for other organisms. Therefore, herbivore-induced changes in plant trait variation and community composition could have important flow on effects for other environmental processes and hence should be considered in management decisions regarding fire-prone ecosystems.</p>
1/8˚ resolution MOM6-COBALT physical and biogeochemical diagnostics for the Gulf of Mexico, monthly means between 2008-2018
<p>The files in this dataset contain monthly mean chlorophyll (µg/kg), pH, nitrate (mol/kg), dissolved oxygen (mol/kg), potential temperature (˚C) and salinity model outputs for 2008-2018 for the region between 18-31˚N, 98-80˚W. Data was extracted from a global grid run with coupled ocean-ice model configured using the Modular Ocean Model 6 (MOM6, https://github.com/NOAA-GFDL/MOM6 ) and Sea Ice Simulator (SIS2) developed at the NOAA Geophysical Fluid Dynamics Laboratory (Adcroft et al., 2019). The horizontal resolution of the grid is 1/8˚, which is considered eddying and no eddy parameterization was included. Vertically, the model uses 75 hybrid vertical-sigma2 layer coordinates that is remapped onto 35 World Ocean Atlas/Coupled Model Intercomparison Project standard depth levels. The atmospheric forcing was derived from the Japanese 55-year Reanalysis version 1.5 (JRA55 1.5, https://jra.kishou.go.jp/JRA-55/index_en.html#jra-55). The model is driven by river freshwater runoff from a monthly climatology derived from Dai and Trenberth (2002) and Dai et al. (2009), which can be assessed at https://rda.ucar.edu/datasets/ds551.0/. A remapping scheme was used to add freshwater into the appropriate coastal grid cells near the river mouths. The biogeochemical model used was the Carbon, Ocean Biogeochemistry and Lower Trophics (COBALTv2, Stock et al., 2020), which uses 33 tracers for representation of coupled elemental cycles of carbon, nitrogen, phosphorus, iron, silicon, alkalinity, oxygen and lithogenic matter and associated plankton food web dynamics. More details about the model setup are described in Liu et al. (2019) and Liu et al. (2021).</p> <p><br> References:</p> <p><br> Adcroft, A., Anderson, W., Blanton, C., Bushuk, M., Dufour, C.O., Dunne, J.P., Griffies, S.M. et al. (2019). The GFDL Global Ocean and Sea Ice Model OM4.0: Model description and simulation features. Journal of Advances in Modeling Earth System, doi: 10.1029/2019MS001726</p> <p><br> Dai, A., T. Qian, K. E. Trenberth, and J. D Milliman, 2009: Changes in continental freshwater discharge from 1948-2004. J. Climate, 22, 2773-2791</p> <p><br> Dai, A., and K. E. Trenberth, 2002: Estimates of freshwater discharge from continents: Latitudinal and seasonal variations. J. Hydrometeorol., 3, 660-687</p> <p><br> Liu, X., Dunne, J.P., Stock, C. A., Harrison, M.J., Adcroft, A., Resplandy, L. (2019). Simulating Water Residence Time in the Coastal Ocean: A Global Perspective. Geophysical Research Letters, 46, 22, 13910-13919. Doi:10.1029/2019GL085097</p> <p><br> Liu, X., Stock, C.A., Dunne, J.P., Lee, M., Shevliakova, E., Malyshev, S., Milly, P.C.D (2021). Simulated Global Coastal Ecosystem Responses to a Half-Century Increase in River Nitrogen Loads.</p> <p><br> Stock, C. A., Dunne, J. P., Fan, S., Ginoux, P., John, J., Krasting, J. P., et al. (2020). Ocean biogeochemistry in GFDL's Earth System Model 4.1 and its response to increasing atmospheric CO2. Journal of Advances in Modeling Earth Systems, 12, e2019MS002043. https://doi.org/10.1029/2019MS002043</p> <p> </p>
Database of topsoil chemical and physical properties in Croatia
<h3>Sources</h3><p>Data for database is collected from four main sources: </p><ul><li>Data published in book "Martinović, J. and Vranković, A. (Editors), 1997. Baza podataka o hrvatskim tlima, I. Državna uprava za zaštitu prirode i okoliša, Zagreb" labeled as "martinovic_1997" in the database.<ul><li>This source consists of 2199 pedological profiles sampled from 1963 to 1996, most of which include depth to bedrock information.</li></ul></li><li>Data from project: "Spatial variability of trace and toxic metals in agricultural soils of Croatia", Ministry of Science and Education and Croatian Waters. Project leader: prof.dr.sc. Marija Romić from Faculty of Agriculture, Zagreb, labeled as "agricultural_2013".<ul><li>Data are sampled from "database of properties and quality of agricultural soils of Croatia" on 8x8 km grid and consists only from top soil samples (0-30 cm). There are 811 samples in this database.</li></ul></li><li>Data from the the project: "Change in soil carbon stocks and calculation of trends in total nitrogen and organic carbon in soil and C: N ratio", from Ministry of Environmental Protection and Energy, carried on by Croatian Geological Institute (HGI), the Croatian Forestry Institute (HŠI) and the Agricultural Land Agency (APZ).<ul><li>This dataset consists of two subsets:<ul><li>"azo_2013" - 2519 samples of topsoil (0-25 cm), from 1994 to 2004 for making of Geochemistry Atlas of Croatia</li><li>"azo_2016" - 742 locations were revisited during 2015-2016 and new samples are taken and analyzed in horizons 0-10 cm, 10-20 cm, 20-30 cm.</li></ul></li></ul></li><li>Network of piezometers</li></ul><h3>Description of sources </h3><h4>Martinović, J. and Vranković, A. (Editors), 1997. Baza podataka o hrvatskim tlima (Database of Croatian Soils) </h4><p>The database contains data on soil profiles and covers the total area of the Republic of Croatia. Only data accepted by external control are entered in the Database, as well as those profiles for which there is a minimum data. External control of data reliability was performed by comparing the genetical-morphological characteristics of the soil determined by field research and the data of laboratory soil analyses. The profiles for which the field and laboratory analyses are found to differ are rejected. In addition to data on soil properties, basic data on pedogenetic factors are given. The soil profiles surveyed in the period 1963-1996 are entered in the database. The majority of data come from the Basic Pedological Map of Croatia (Osnovna pedološka karta Hrvatske - OPKH) project. The following are entered in the Database: 1347 profiles in volume I and 851 profiles in volume II, a total of 2198 pedological profiles</p><h4>Spatial variability of trace and toxic metals in agricultural soils of Croatia, Project Leader: Marija Romić </h4><p>The problem of exposure of agricultural soils to different anthropogenic inputs of toxic metals, but also of other potentially toxic substances, has acquired global dimensions in the last decades. Besides atmospheric deposition, environmental dispersion of chemicals used in agriculture is an important factor directly affecting the natural soil functions, or indirectly endangering the biosphere by bioaccumulation and inclusion into the food chain. Metal concentrations in soil can be generally predicted starting with the element abundance in the parent material. The extent to which pedogenesis affects heavy metals distribution varies according to the prevailing factors affecting soil processes. Because of the toxicity to plants and animals, it is important to determine their content, forms and distribution. Such hypotheses may be tested by total metal content determination, as well as other elements relevant for geochemical valorization of the agricultural soils of Croatia. Thus, the spatial variability and baseline of elements in soils will be determined by means of relevant statistical and geostatistical methods. The maps of toxic metal distribution will be produced and the suitability of soils for agriculture will be assessed. GIS is increasingly used in environmental assessment studies because of its ability to superimpose different spatial information and to combine them with the results of statistical analysis, enabling thus the detection of complex spatial relationships among different parameters. Geostatistics and multivariate statistics has been widely used in geochemical studies to identify pollution sources and to apportion natural vs. anthropogenic contribution, establishing a geochemical background as well. The main objectives of the investigation are: (i) to provide a geochemical database relevant to the agricultural soils in Croatia; (ii) to provide a detailed information about the natural variability of the geochemical background which is pertinent to administrative and legal issues as well as to safety food production and environmental protection; (iii) presenting the influence of human and other environmental activities on the soil quality mainly regarding the toxic and trace metal contents, and (iv) we are going to observe the influence of natural conditions on regional differences which have been widely neglected so far, and have not been taken into account while national regulations and guidelines on soil toxic metal contents have been established.</p><h4>Change in soil carbon stocks and calculation of trends in total nitrogen and organic carbon in soil and C: N ratio </h4><p>The project is funded by the Fund for Environmental Protection and Energy Efficiency within the Program "Upgrading and Development of the Environmental Information System and Improving the Monitoring and Reporting System on the State of the Environment in the Republic of Croatia", Component 2: Improving the Monitoring and Reporting System on the State of the Environment Croatia; improving the system of data collection and exchange and developing methodologies for their processing in accordance with the guidelines of the UNFCCC and the Kyoto Protocol defined by the IPCC (Intergovernmental Panel on Climate Change). </p><p>The project holder is the Ministry of Environmental Protection and Energy, and the executors are the Croatian Geological Institute, the Croatian Forestry Institute and the Agricultural Land Agency.</p><p>In the period 2014-2017, field and laboratory research of soil conditions was conducted at 725 representative locations. General data on the location of sampling were collected, which contain administrative, locational, geographical and other data (relief, climatic and meteorological data, detailed data on land use and vegetation cover, description of surface soil properties).</p><p>Field soil sampling for each LULUCF land use category was performed according to a modified methodology described in the EU DG JRC (Joint Research Center) "Protocol for soil sampling to confirm changes in organic carbon stocks in the EU" by Stolbovoy et al. 2007 (Soil sampling protocol to certify the changes of organic carbon stock in mineral soil of the European Union - EU JRC). The protocol modifications aimed to ensure reporting under the UNFCCC and Kyoto protocols, i.e., to ensure compliance with the IPCC methodology. Soil sampling on forest land (FL) according to the JRC protocol is planned at two depths of 0-10 cm and 10 - 20 cm and an organic layer (list), but due to reporting requirements under the UNFCCC and Kyoto protocol, sampling was carried out at a depth of 20 - 30 cm. Land under crops (CL) was sampled at two depths (0-20 cm and 20-30 cm) and grasslands (GL), wetlands (WL), settlements (SL) and other land (OL) were sampled at three depths 0- 10, 10-20 and 20-30 cm. Geochemical analyzes were performed at depths of 0–10 and 20–30 cm for forest soils (FL) and for meadows and pastures (GL) while for soils under crops (CL) composite samples of 0–30 cm and 0–20 cm were analyzed.</p><h4>Network of piezometers</h4><p>To get a more accurate depth to bedrock parameter, positions of 812 piezometers are considered as they have at least 4 meters of depth to bedrock.</p><h3>Description of database</h3><p>Column names and descriptions:</p><p>Metadata columns:</p><p><strong>site_key </strong>- unique identifier that identifies sample in source database <br><strong>source_db</strong> - label of source database <br><strong>source_sampled</strong> - label of organization/team who sampled and analyzed data <br><strong>site_obsdate</strong> - year of taking sample <br><strong>longitude_decimal_degrees</strong> - longitude in degrees in WGS84 geographical projection <br><strong>latitude_decimal_degrees</strong> - latitude in degrees in WGS84 geographical projection <br><strong>pedon_completeness_index</strong> - quality factor (0-100) <br><strong>taxgrtgroup</strong> - classification of sample according to WBR 2014/2016 classification </p><p>Soil properties columns:</p><p>column name - property - measurement units - description<br><strong>oc</strong> - Carbon, Organic - % wt - CMS analyte. Organic carbon is a measure of all organic forms of carbon in the soil, including organic carbon within minerals. <br><strong>n_tot_ncs</strong> - Nitrogen, Total NCS - % wt - Total nitrogen is a measure of all organic and inorganic nitrogen, including that found in nitrogen minerals.<br><strong>ca_mehlich3</strong> - Calcium, Mehlich3 Extractable - mg/kg - The calcium extracted by the Mehlich III solution. <br><strong>k_mehlich3</strong> - Potassium, Mehlich3 Extractable - mg/kg - The potassium extracted by the Mehlich III solution. <br><strong>mg_mehlich3</strong> - Magnesium, Mehlich3 Extractable - mg/kg - The magnesium extracted by the Mehlich III solution. <br><strong>p_mehlich3</strong> - Phosphorus, Mehlich3 Extractable - mg/kg - The phosphorus extracted by the Mehlich III solution. <br><strong>cec_sum</strong> - Cation Exchange Capacity, Summary cmol(+)/kg - The effective cation exchange capacity is calculated by BASE_SUM+AL_KCL. It is not calculated if soluble salts are present. It is reported as meq per 100 grams on a <2 mm base. CMS derived value default <br><strong>ec_satp</strong> - Electrical Conductivity , Saturation Extract - dS/m - The electrical conductivity of the saturation extract is used to estimate the concentration of salts in a sample, and provides inferences on cation concentration in solution and osmotic pressure. It is reported as mmhos per centimeter. <br><strong>caco3</strong> - Carbonates - % wt - Carbonate in the < 2mm fraction is measured by CO2 evolution after acid treatment. It is reported as gravimetric percent CaCO3 on a <2 mm base, even though carbonates of Mg, Na, K, and Fe may be present and react with the acid<br><strong>ph_h2o</strong> - pH, 1:1 Soil-Water Suspension - (NA) - The pH, 1:1 soil-water suspension is the pH of a sample measured in distilled water at a 1:1 soil:solution ratio. If wider ratios increase the pH, salts are indicated. <br><strong>ph_kcl</strong> - The pH, 1:1 soil-KCl suspension - (NA) - The pH, 1:1 soil-KCl suspension is the pH of a sample measured in 1.0N KCl at a 1:1 soil:solution ratio. If the pH in KCl < pH in water, Al+++ is indicated. <br><strong>total_clay</strong> - Clay, Total - % wt - Total clay is the soil separate with <0.002 mm particle diameter. Clay size carbonate is included. Total clay is reported as a weight percent of the <2 mm fraction. <br><strong>total_silt</strong> - Silt, Total - % wt - Total silt is the soil separate with 0.002 to 0.05 mm particle size. It is reported as a gravimetric percent on a <2 mm base. <br><strong>total_sand</strong> - Sand, Total - % wt - Total sand is the soil separate with 0.05 to 2.0 mm particle diameter. It is reported as a gravimetric percent on a <2 mm base. <br><strong>wpg2</strong> - Coarse fragments - % wt - The weight fraction of particles with >2 mm diameter is reported as a gravimetric percent on a whole soil base. <br><strong>db_od</strong> Bulk Density, <2mm Fraction, Ovendry - g/cc - Bulk density, oven dry (105 C) is the weight per unit volume of the <2 mm fraction, with volume measured on oven dry (105 C) natural fabric (clods). It is reported as grams per cubic centimeter on a <2 mm base. <br><strong>dbr</strong> - Depth to bedrock - cm - Depth to the R horizon or similar</p>
Physical and biogeochemical properties of California Current upwelled source waters
<p>Coastal upwelling variability in the California Current region, one of the four main eastern boundary current upwelling systems, is controlled by processes acting over a wide range of spatial and temporal scales. While the ensuing ecosystem response depends strongly on upwelled water properties, determining their exact physical and biogeochemical characteristics is notoriously difficult as it requires tracking water masses backward in space and time from the moment they upwell near the coast to their subsurface origin. Adjoint model simulations have been used successfully to track water masses in coastal upwelling systems and the work presented here extends these applications to determining the co-variability of physical and biogeochemical properties of source waters at spatial scales that resolve the known alongshore variability of coastal upwelling dynamics in the region. Notably, the results identify that the modulation of coastal upwelling efficiency by onshore/offshore geostrophic meanders is the dominant mechanism explaining alongshore variability in source depth and properties of upwelled waters. The simulations also reveal that source water properties vary seasonally in response to different balances between coastal upwelling intensity and biogeochemical processes. During spring, interannual variability of physical and biogeochemical properties is directly tied to the intensity of upwelling-favorable alongshore winds, whereas, during summer, biogeochemical properties respond more strongly to biological activity and subsequent organic matter remineralization at depth. Overall, the present work provides important insight into the mechanisms responsible for the alongshore mosaic and seasonal variation upwelled source water properties in the central California Current region.</p>
Extended data for behavioural change for Parkinson's disease: A randomised controlled feasibility study to promote physical activity and exercise adherence among people with Parkinson's, study protocol
<p><strong>Background: </strong>Parkinson's is a common progressive neurological condition characterized by motor and non-motor deficits. Physical activity and exercise can improve health, but many people with Parkinson's have trouble reaching the recommended dosage. Our recent literature review found improvements in exercise adherence with behavioural change interventions, but it remains unclear which are most effective. Further qualitative research and patient and public involvement has informed a novel behavioural change support intervention to be tested alongside an existing exercise program.<strong> </strong></p> <p><strong>Objective: </strong>To examine the feasibility of behavioural change support techniques delivered alongside an exercise programme to improve physical activity, function, and self-efficacy in PwP (and study procedures) to inform a future pilot RCT trial.<strong> </strong></p> <p><strong>Methods: </strong>A parallel-arm single blinded randomised feasibility study. Twenty participants with Parkinson's (Hoehn and Yahr stage 1-3) will be recruited from a physiotherapy primary-care waiting list. Following written consent, and baseline assessment, the participants will be randomly allocated to the intervention (n=10) or the control group (n=10). Both groups will receive usual care, which includes a weekly program of a multidisciplinary education, a supervised exercise class and a prescribed home exercise program. The intervention group will receive additional behavioural change techniques, targeting behaviour regulation, belief about capabilities and social influences. Class and home exercise adherence, behavioural component uptake and adherence, and negative events will be recorded. Outcomes will include enrolment and maintenance rates, physical function, falls, physical activity, and exercise self-efficacy measured pre- and post- the 12- week program (in-person). Surveys will be used to compare experiences and satisfaction between groups. Exit interviews will be completed with the intervention group only, exploring their experience of the behavioural change techniques. </p> <p><strong>Discussion: </strong>The results will help inform a future pilot RCT, based on the intervention acceptability, consent rate, maintenance, and protocol integrity.</p>
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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.