<p>The purpose of this study was to evaluate the micro- and nano-structural changes in femoral cortical bone in mice impacted by chronic kidney disease (CKD) and undergoing in vivo treatment with synthetic salmon calcitonin.&nbsp;Protocols were approved by the Indiana University Indianapolis School of Science Institutional Animal Use and Care Committee. (<span style="caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0); font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 16px; font-style: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px; text-decoration: none; display: inline !important; float: none;">Indiana University-Indianapolis School of Science Protocol #SC335R.)</span></p><p>This data set supports the publication:&nbsp;Montagnino, E., Bush, W., Bustamante, J., Bandara, W., Jalaie, P., Allen, M.R., Wallace, J.M., Siegmund, T., Surowiec, R.K. and Howarter, J.A., 2025. Nanostructural changes in bone quality in a mouse model of chronic kidney disease and treatment with calcitonin. <i>Bone Reports</i>, p.101880.</p><p>Analysis of the microstructure was conducted using microCT, yielding values for total area, cortical area, cortical thickness, bone area, and cortical porosity. The nanostructure was evaluated with SAXS and WAXS, whose outcomes report mineral thickness, mineral length, D-periodicity, and collagen lateral spacing. The composition of the bone was analyzed with TgA, reporting values for mineral, collagen, and bound water wt.%. Biochemistries are reported as BUN level and PTH level. For data processing methods, please see the following manuscript in Bone Reports from Montagnino et al., &quot;Nanostructural Changes in Bone Quality in a Mouse Model of Chronic Kidney Disease and Treatment with Calcitonin&quot;.</p><p>SAXS and WAXS nexus file names do not refer to any particular sample group but are overall a description of the project, and each file contains data for multiple samples, where the name is embedded in the nexus file for each sample. There are three nexus files for each round of data collection, as three spots for each sample were collected to be averaged together. SAXS and WAXS data were processed using the Python script located in&nbsp;<span style="font-size:11pt"><span new="" roman="" style="font-family:" times="">Bush, W. D.; Montagnino, E. S.; Siegmund, T. H.; Howarter, J. A. (2025), &quot;<a href="https://purr.purdue.edu/publications/4894/1" style="color:blue; text-decoration:underline">Code for Processing Laboratory SAXS/WAXS Data in NEXUS File Format</a>.&quot; Purdue University Research Repository (DOI: <a href="https://doi.org/10.4231/A21M-D344" style="color:blue; text-decoration:underline" target="_blank">10.4231/A21M-D344</a>).</span></span></p><p>Along with the raw NEXUS files from the instrument, the processed 1D curves are available in .csv files. The .csv files were used in SASview for fitting the third-order periodicity peak and the Lorentz curves; the corresponding .pdf for each fit is included.</p><p><strong>** Due to not being able to relabel the sample names embedded in the nexus files, sample #23 was mislabeled as a CKD CAL sample when it is a CKD sample. This mislabeling should be taken into account, and CKD_23 should be included in the CKD untreated values.**&nbsp;</strong></p><p>All Analysis Compiled.xlsx : Meta data file includes sample key (For control groups, the samples were labeled as &quot;CON&quot; or &quot;WT_Untreated&quot;. The groups for CKD begin with &quot;CKD&quot; or &quot;CKD_Untreated&quot; and any group treated with calcitonin is denoted with a &quot;CAL&quot;), processed values for MicroCT (total area, cortical area, cortical thickness, bone area, and cortical porosity), biochemistries (BUN level and PTH level), TGA (mineral, collagen, and water wt.% for each sample), SAXS and WAXS (mineral thickness, mineral length, D-periodicity, and collagen lateral spacing).</p><p>TgA Raw Data Compiled.xlsx : Raw TGA data for each sample curve, including temperature vs. weight %. OriginPro was used to take the derivative of each sample&#39;s curve.&nbsp;</p><p>uCT Data Summary.xlsx : Raw MicroCT derived data.&nbsp;</p><p>SWAXS: Directory contains SAXS and WAXS data</p><p>SAXS RAW: Raw data for SAXS in NEXUS file format</p><p>WAXS RAW: Raw data for WAXS in NEXUS file format</p><p>Control Groups_45deg integration: 1D reduced data (intensity vs q) for 45deg integration of SAXS data for Controls (treated and untreated) specimens. csv file format</p><p>Control Groups_360deg integration: 1D reduced data (intensity vs q) for 360deg integration of SAXS data for Controls (treated and untreated) specimens. csv file format</p><p>CKD Groups_45deg integration: 1D reduced data (intensity vs q) for 45deg integration of SAXS data for CKD (treated and untreated) specimens. csv file format</p><p>CKD Groups_360deg integration: 1D reduced data (intensity vs q) for 360deg integration of SAXS data for CKD (treated and untreated) specimens. csv file format</p><p>Lorentzian Fit Files: SASView analysis, file names refer to sample key, pdf format</p><p>Third Order Peak Fit Files: SASView analysis, file names refer to sample key, pdf format</p><p>WAXS (002) peak fits: SASView analysis, Gaussian fits to raw data, file names refer to sample key, txt format</p><p>WAXS 1D integration:1D reduced WAXS data (intensity vs q), file names refer to sample key, csv format</p><p>&nbsp;</p><p>&nbsp;&nbsp;&nbsp;&nbsp;</p><p>&nbsp;</p><p>&nbsp;</p><p>&nbsp;</p><p>&nbsp;</p>

Supplementary material for "Strain Rates along the Alpine-Himalayan Belt from a Comprehensive GNSS Velocity Field"Journal of Geophysical Research: Solid EarthN. Castro-Perdomo et al., (2025)Corresponding author: N. Castro-Perdomo, [email protected] The results and figures presented in our manuscript are fully reproducible. To replicate our analyses, run the Jupyter notebook JGR_Alpides_Supplements.ipynb included with this repository.Instructions:1. Set up a Conda environment (optional but recommended)To manage dependencies and ensure reproducibility, we recommend creating a Conda environment using the provided environment.yml file. This step is optional if all required packages are already installed on your system.To create and activate the Conda environment, run:conda env create -f environment.ymlconda activate alpides2. Launch the Jupyter notebookStart the Jupyter notebook to reproduce the manuscript's results:jupyter notebook JGR_Alpides_Supplements.ipynbIf alpides does not appear in the Jupyter notebook's kernel list, you can manually register it:python -m ipykernel install --user --name alpides --display-name "Python (alpides)"After registering the kernel, restart Jupyter Notebook to ensure the new kernel appears in the kernel list.Directory structureThe diagram below outlines the contents and organization of the supplementary material provided with this repository.📦Alpides_Strain_Rates_Supplements ┣ 📜JGR_Alpides_Supplements.ipynb ┣ 📂combined_velocity_field ┃ ┣ 📜combined_vel_aege_clean_scaled.csv ┃ ┣ 📜combined_vel_amur_clean_scaled.csv ┃ ┣ 📜combined_vel_anat_clean_scaled.csv ┃ ┣ 📜combined_vel_arab_clean_scaled.csv ┃ ┣ 📜combined_vel_eura_clean_scaled.csv ┃ ┣ 📜combined_vel_igb14_clean_scaled.csv ┃ ┣ 📜combined_vel_indi_clean_scaled.csv ┃ ┣ 📜combined_vel_myan_clean_scaled.csv ┃ ┣ 📜combined_vel_nubi_clean_scaled.csv ┃ ┣ 📜combined_vel_sina_clean_scaled.csv ┃ ┣ 📜combined_vel_tbet_clean_scaled.csv ┃ ┣ 📜combined_vel_yang_clean_scaled.csv ┃ ┗ 📜combined_vertical_velocity_field.vel ┣ 📂strain_rate_data ┃ ┣ 📜strain_rates_ALPIDES.csv ┃ ┣ 📜strain_rates_EMED_creep.csv ┃ ┣ 📜strain_rates_EMED_nocreep.csv ┃ ┣ 📜strain_rates_India_Asia.csv ┣ 📂input_data ┃ ┣ 📂cpts ┃ ┣ 📂datasets ┃ ┣ 📂modules ┣ 📂output_data ┃ ┣ 📂figures ┣ 📜LICENSE ┣ 📜README.md ┣ 📜environment.yml ┣ 📜requirements.txt ┣ 📜reproducible_research.html ┗ 📜runtime.txtCombined GNSS velocities rotated into different reference frames are provided in the combined_velocity_field folderMean posterior strain rates and uncertainties are provided in the strain_rate_data folderAncillary files including fault traces, SKS data, and other supporting files can be found in the input_data folderPython modules required for plotting strain rates, harmonizing GNSS velocity uncertainties and performing Metropolis MCMC inversions of GNSS velocities for fault kinematic parameters are included in the input_data/modules folder

The study for which these data were generated is summarized as follows: A common developmental response to resource competition is an inducible offense, which involves the facultative predation of competitors. At its extreme, this response involves the development of alternative phenotypic morphs, or polyphenism. However, how polyphenism evolves to meet ecological challenges, such as competitor species, is unknown. Using replicated experimental evolution, during which starved nematodes could consume heterospecific competitors, we investigated whether induction of a predatory morph could evolve and how generalizable the genetic basis of this change is. Fifty generations of evolution across multiple populations resulted in parallel changes in higher morph induction and parallel genomic responses, including repeated selection for a specific transcription-factor binding-site variant. In tandem, we artificially selected directly for tooth morphology and drove the predatory morph near fixation. That trait-specific selection promoted greater changes in predatory morph induction than experimental evolution indicates that polyphenism evolution is balanced by selection for whole-organism performance. Our results thus describe the predictability by which a resource polyphenism evolves amid scarce resources. These data include phenotypic and intermediate genome-wide data for analyzing shifts in phenotype production over generations between environments, effects of mutation on phenotype production, and divergence in allele frequencies among populations.

The Iterative Bleaching Extends Multiplexity (IBEX) imaging method is an iterative immunolabeling and chemical bleaching method that enables highly multiplexed imaging of diverse tissues. Development of the IBEX method and related software was led by Dr. Andrea Radtke and Dr. Ziv Yaniv. IBEX and related methods, Ce3D, Ce3D-IBEX, Opal-plex, were originally developed in the laboratory of Dr. Ronald N. Germain, US National Institutes of Health.The IBEX Imaging Community is an international group of scientists committed to sharing knowledge related to multiplexed imaging in a transparent and collaborative manner. This open, global repository is a central resource for reagents, protocols, panels, publications, software, and datasets. In addition to IBEX, we support standard, single cycle multiplexed imaging (Multiplexed 2D imaging), volume imaging of cleared tissues with clearing enhanced 3D (Ce3D), highly multiplexed 3D imaging (Ce3D-IBEX), and extension of the IBEX dye inactivation protocol to the Leica Cell DIVE (Cell DIVE-IBEX). This dataset contains the current state of knowledge with respect to the IBEX microscopy imaging protocol.How to use the Knowledge-Base:Save a copy to your computer.To find a reagent: Open the reagent_resources.csv file found in the data directory. Use a spreadsheet application to filter the columns based on target name, target species, vendor, etc.To view a complete list of fluorescent probes tested by the IBEX imaging community: Open the fluorescent_probes.csv file. This file reports the spectral properties and inactivation conditions of each fluorescent probe.To import publications cited in the Knowledge-Base, import the publications.bib file found in the data directory to your reference manager.To view a local copy of the website: Open the index.md file found in the docs directory using a markdown editor such as the free Visual Studio Code.To view supporting information for a reagent (images, publications, notes): Open a specific target-conjugate-orcid combination under the docs-supporting_material directory structure using a markdown editor. This can also be visualized from the Reagent Resources page and filtered using a catalog number or other unique identifier in your web browser.Join the online IBEX Imaging community and contribute your knowledge. For more details on how to contribute, see these instructions.This research was supported by:The Intramural Research Program of the NIH, National Institute of Allergy and Infectious Diseases and National Cancer Institute, under grants 1ZIAAI001290-02, 1ZIAAI000545-33, 1ZIAAI000758-24, 1ZIAAI000974-16, 1ZIAAI001034-14. The Wellcome Trust, under grant 224586/Z/21/Z. The National Institute of Allergy and Infectious Diseases, NIH, under grant 1ZIAAI001343-01.

Regional Ecosystem Soil Hydraulics (ReESH) Project:US-VT1: Vermillion Tributary Paired Cropland – Site 1 (Corn/Soy; No Cover Crops)The ReESH Database includes soil characteristics of soil samples and corresponding soil water retention curves, which enable the conversion of soil water content to soil water potential.Database Files: 1) Soil Characteristics:"Site" -- Site Name (AmeriFlux Site Code)"Sample_ID" -- Unique Sample Identifier "Sampling_Date" -- Date of Sample Collection (YYYY-MM-DD)"Latitude" -- Site Latitude"Longitude" -- Site Longitude"Veg" -- International Geosphere-Biosphere Program (IGBP) "Depth_cm" -- Sample Collection Depth (cm)"Depth" -- Sample Collection Depth (cm)"CLAY" -- Percent Clay (%)"SILT" -- Percent Silt (%)"SAND" -- Percent Sand (%)"RootBiomass_g" -- Fine Root biomass (g per 250mL soil)"Pct_OM" -- Percent Organic Matter (%)"Bulk_Den_g_m3" -- Sample Bulk Density (g m^-3)"Med_KsSoil_m_s" -- Median Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"Min_KsSoil_m_s" -- Minimum Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"Max_KsSoil_m_s" -- Maximum Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"SD_KsSoil_m_s" -- Standard Deviation in Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"KS_Soil_Flag" -- QAQC flags for Saturated Hydraulic Conductivity measurements (0==good; 1==suspect and use with caution)2) Soil Water Retention Curves:"Site" -- Site Name (AmeriFlux Site Code)"Sample_ID" -- Unique Sample Identifier "Plot" -- Site Personnel Defined Pit Identifier "Depth_cm" -- Sample Collection Depth (cm)"MPa_Abs" -- Sample Water Potential (-MPa)"Vol_Water" -- Sample Water Content (%)"Hypropfilter" -- Instrument Code (1==WP4C; 2==HyProp)"Sampling_Date" -- Date of Sample Collection (YYYY-MM-DD)"Bulk_Den_g_m3" -- Sample Bulk Density (g m^-3)

Regional Ecosystem Soil Hydraulics (ReESH) Project:US-VT2: Vermillion Tributary Paired Cropland – Site 2 (Corn/Soy; Cover Crops)The ReESH Database includes soil characteristics of soil samples and corresponding soil water retention curves, which enable the conversion of soil water content to soil water potential.Database Files: 1) Soil Characteristics:"Site" -- Site Name (AmeriFlux Site Code)"Sample_ID" -- Unique Sample Identifier "Sampling_Date" -- Date of Sample Collection (YYYY-MM-DD)"Latitude" -- Site Latitude"Longitude" -- Site Longitude"Veg" -- International Geosphere-Biosphere Program (IGBP) "Depth_cm" -- Sample Collection Depth (cm)"Depth" -- Sample Collection Depth (cm)"CLAY" -- Percent Clay (%)"SILT" -- Percent Silt (%)"SAND" -- Percent Sand (%)"RootBiomass_g" -- Fine Root biomass (g per 250mL soil)"Pct_OM" -- Percent Organic Matter (%)"Bulk_Den_g_m3" -- Sample Bulk Density (g m^-3)"Med_KsSoil_m_s" -- Median Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"Min_KsSoil_m_s" -- Minimum Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"Max_KsSoil_m_s" -- Maximum Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"SD_KsSoil_m_s" -- Standard Deviation in Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"KS_Soil_Flag" -- QAQC flags for Saturated Hydraulic Conductivity measurements (0==good; 1==suspect and use with caution)2) Soil Water Retention Curves:"Site" -- Site Name (AmeriFlux Site Code)"Sample_ID" -- Unique Sample Identifier "Plot" -- Site Personnel Defined Pit Identifier "Depth_cm" -- Sample Collection Depth (cm)"MPa_Abs" -- Sample Water Potential (-MPa)"Vol_Water" -- Sample Water Content (%)"Hypropfilter" -- Instrument Code (1==WP4C; 2==HyProp)"Sampling_Date" -- Date of Sample Collection (YYYY-MM-DD)"Bulk_Den_g_m3" -- Sample Bulk Density (g m^-3)

Regional Ecosystem Soil Hydraulics (ReESH) Project:US-VT1: Vermillion Tributary Paired Cropland – Site 1 (Corn/Soy; No Cover Crops)The ReESH Database includes soil characteristics of soil samples and corresponding soil water retention curves, which enable the conversion of soil water content to soil water potential.Database Files: 1) Soil Characteristics:"Site" -- Site Name (AmeriFlux Site Code)"Sample_ID" -- Unique Sample Identifier "Sampling_Date" -- Date of Sample Collection (YYYY-MM-DD)"Latitude" -- Site Latitude"Longitude" -- Site Longitude"Veg" -- International Geosphere-Biosphere Program (IGBP) "Depth_cm" -- Sample Collection Depth (cm)"Depth" -- Sample Collection Depth (cm)"CLAY" -- Percent Clay (%)"SILT" -- Percent Silt (%)"SAND" -- Percent Sand (%)"RootBiomass_g" -- Fine Root biomass (g per 250mL soil)"Pct_OM" -- Percent Organic Matter (%)"Bulk_Den_g_m3" -- Sample Bulk Density (g m^-3)"Med_KsSoil_m_s" -- Median Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"Min_KsSoil_m_s" -- Minimum Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"Max_KsSoil_m_s" -- Maximum Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"SD_KsSoil_m_s" -- Standard Deviation in Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"KS_Soil_Flag" -- QAQC flags for Saturated Hydraulic Conductivity measurements (0==good; 1==suspect and use with caution)2) Soil Water Retention Curves:"Site" -- Site Name (AmeriFlux Site Code)"Sample_ID" -- Unique Sample Identifier "Plot" -- Site Personnel Defined Pit Identifier "Depth_cm" -- Sample Collection Depth (cm)"MPa_Abs" -- Sample Water Potential (-MPa)"Vol_Water" -- Sample Water Content (%)"Hypropfilter" -- Instrument Code (1==WP4C; 2==HyProp)"Sampling_Date" -- Date of Sample Collection (YYYY-MM-DD)"Bulk_Den_g_m3" -- Sample Bulk Density (g m^-3)

Regional Ecosystem Soil Hydraulics (ReESH) Project:US-VT2: Vermillion Tributary Paired Cropland – Site 2 (Corn/Soy; Cover Crops)The ReESH Database includes soil characteristics of soil samples and corresponding soil water retention curves, which enable the conversion of soil water content to soil water potential.Database Files: 1) Soil Characteristics:"Site" -- Site Name (AmeriFlux Site Code)"Sample_ID" -- Unique Sample Identifier "Sampling_Date" -- Date of Sample Collection (YYYY-MM-DD)"Latitude" -- Site Latitude"Longitude" -- Site Longitude"Veg" -- International Geosphere-Biosphere Program (IGBP) "Depth_cm" -- Sample Collection Depth (cm)"Depth" -- Sample Collection Depth (cm)"CLAY" -- Percent Clay (%)"SILT" -- Percent Silt (%)"SAND" -- Percent Sand (%)"RootBiomass_g" -- Fine Root biomass (g per 250mL soil)"Pct_OM" -- Percent Organic Matter (%)"Bulk_Den_g_m3" -- Sample Bulk Density (g m^-3)"Med_KsSoil_m_s" -- Median Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"Min_KsSoil_m_s" -- Minimum Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"Max_KsSoil_m_s" -- Maximum Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"SD_KsSoil_m_s" -- Standard Deviation in Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"KS_Soil_Flag" -- QAQC flags for Saturated Hydraulic Conductivity measurements (0==good; 1==suspect and use with caution)2) Soil Water Retention Curves:"Site" -- Site Name (AmeriFlux Site Code)"Sample_ID" -- Unique Sample Identifier "Plot" -- Site Personnel Defined Pit Identifier "Depth_cm" -- Sample Collection Depth (cm)"MPa_Abs" -- Sample Water Potential (-MPa)"Vol_Water" -- Sample Water Content (%)"Hypropfilter" -- Instrument Code (1==WP4C; 2==HyProp)"Sampling_Date" -- Date of Sample Collection (YYYY-MM-DD)"Bulk_Den_g_m3" -- Sample Bulk Density (g m^-3)

The Iterative Bleaching Extends Multiplexity (IBEX) imaging method is an iterative immunolabeling and chemical bleaching method that enables highly multiplexed imaging of diverse tissues. Development of the IBEX method and related software was led by Dr. Andrea Radtke and Dr. Ziv Yaniv. IBEX and related methods, Ce3D, Ce3D-IBEX, Opal-plex, were originally developed in the laboratory of Dr. Ronald N. Germain, US National Institutes of Health.The IBEX Imaging Community is an international group of scientists committed to sharing knowledge related to multiplexed imaging in a transparent and collaborative manner. This open, global repository is a central resource for reagents, protocols, panels, publications, software, and datasets. In addition to IBEX, we support standard, single cycle multiplexed imaging (Multiplexed 2D imaging), volume imaging of cleared tissues with clearing enhanced 3D (Ce3D), highly multiplexed 3D imaging (Ce3D-IBEX), and extension of the IBEX dye inactivation protocol to the Leica Cell DIVE (Cell DIVE-IBEX). This dataset contains the current state of knowledge with respect to the IBEX microscopy imaging protocol.How to use the Knowledge-Base:Save a copy to your computer.To find a reagent: Open the reagent_resources.csv file found in the data directory. Use a spreadsheet application to filter the columns based on target name, target species, vendor, etc.To view a complete list of fluorescent probes tested by the IBEX imaging community: Open the fluorescent_probes.csv file. This file reports the spectral properties and inactivation conditions of each fluorescent probe.To import publications cited in the Knowledge-Base, import the publications.bib file found in the data directory to your reference manager.To view a local copy of the website: Open the index.md file found in the docs directory using a markdown editor such as the free Visual Studio Code.To view supporting information for a reagent (images, publications, notes): Open a specific target-conjugate-orcid combination under the docs-supporting_material directory structure using a markdown editor. This can also be visualized from the Reagent Resources page and filtered using a catalog number or other unique identifier in your web browser.Join the online IBEX Imaging community and contribute your knowledge. For more details on how to contribute, see these instructions.This research was supported by:The Intramural Research Program of the NIH, National Institute of Allergy and Infectious Diseases and National Cancer Institute, under grants 1ZIAAI001290-02, 1ZIAAI000545-33, 1ZIAAI000758-24, 1ZIAAI000974-16, 1ZIAAI001034-14. The Wellcome Trust, under grant 224586/Z/21/Z. The National Institute of Allergy and Infectious Diseases, NIH, under grant 1ZIAAI001343-01.

Regional Ecosystem Soil Hydraulics (ReESH) Project:US-Cwt: CoweetaThe ReESH Database includes soil characteristics of soil samples and corresponding soil water retention curves, which enable the conversion of soil water content to soil water potential.Database Files: 1) Soil Characteristics:***** No Saturated Hydraulic Conductivity data for "Extra" plot samples. US-Cwt_TDR2_000 and US-CWT_Extra_000 have no soil texture data due to high OM content "Site" -- Site Name (AmeriFlux Site Code)"Sample_ID" -- Unique Sample Identifier "Sampling_Date" -- Date of Sample Collection (YYYY-MM-DD)"Latitude" -- Site Latitude"Longitude" -- Site Longitude"Veg" -- International Geosphere-Biosphere Program (IGBP) "Depth_cm" -- Sample Collection Depth (cm)"Depth" -- Sample Collection Depth (cm)"CLAY" -- Percent Clay (%)"SILT" -- Percent Silt (%)"SAND" -- Percent Sand (%)"RootBiomass_g" -- Fine Root biomass (g per 250mL soil)"Pct_OM" -- Percent Organic Matter (%)"Bulk_Den_g_m3" -- Sample Bulk Density (g m^-3)"Med_KsSoil_m_s" -- Median Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"Min_KsSoil_m_s" -- Minimum Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"Max_KsSoil_m_s" -- Maximum Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"SD_KsSoil_m_s" -- Standard Deviation in Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"KS_Soil_Flag" -- QAQC flags for Saturated Hydraulic Conductivity measurements (0==good; 1==suspect and use with caution)2) Soil Water Retention Curves:* No Soil Water Retention Curve data for: US-Cwt_Extra_010, US-Cwt_Extra_050, US-Cwt_TDR2_000, US-Cwt_TDR4_010 *********"Site" -- Site Name (AmeriFlux Site Code)"Sample_ID" -- Unique Sample Identifier "Plot" -- Site Personnel Defined Pit Identifier "Depth_cm" -- Sample Collection Depth (cm)"MPa_Abs" -- Sample Water Potential (-MPa)"Vol_Water" -- Sample Water Content (%)"Hypropfilter" -- Instrument Code (1==WP4C; 2==HyProp)"Sampling_Date" -- Date of Sample Collection (YYYY-MM-DD)"Bulk_Den_g_m3" -- Sample Bulk Density (g m^-3)