CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
The LDMI experiment (Low-Disturbance Manure Incorporation) was designed to evaluate nutrient losses with conventional and improved liquid dairy manure management practices in a corn silage (Zea mays) / rye cover-crop (Secale cereale) system. The improved manure management treatments were designed to incorporate manure while maintaining crop residue for erosion control. Field observations included greenhouse gas (GHG) fluxes from soil, soil nutrient concentrations, crop growth and harvest biomass and nutrient content, as well as monitoring of soil physical and chemical properties. Observations from LDMI have been used for parameterization and validation of computer simulation models of GHG emissions from dairy farms (Gaillard et al., submitted). The LDMI experiment was performed as part of the Dairy CAP, described below. The experiment included ten different treatments: (1) broadcast manure with disk-harrow incorporation, (2) broadcast manure with no tillage incorporation, (3) manure application with “strip-tillage” which was sweep injection ridged with paired disks, (4) aerator band manure application, (5) low-disturbance sweep injection of manure, (6) Coulter injection of manure with sweep tillage, (7) no manure with urea to supply 60 lb N/acre (67 kg N/ha), (8) no manure with urea to supply 120 lb N/acre (135 kg N/ha), (9) no manure with urea to supply 180 lb N/acre (202 kg N/ha), (10) no manure / no fertilizer control. Manure was applied in the fall; fertilizer was applied in the spring. These ten treatments were replicated four times in a randomized complete block design. The LDMI experiment was conducted at the Marshfield Research Station of the University of Wisconsin and the USDA Agricultural Research Service (ARS) in Stratford, WI (Marathon County, Latitude 44.7627, Longitude -90.0938). Soils at the research station are from the Withee soil series, fine-loamy, mixed, superactive, frigid Aquic Glossudalf. Each experimental plot was approximately 70 square meters. A weather station was located at the south edge of field site. A secondary weather station (MARS South), for snow and snow water equivalence data and for backup of the main weather station, was located at Latitude 44.641445 and Longitude -90.133526 (16,093 meters southwest of the field site). The experiment was initiated on November 28, 2011 with fall tillage and manure application in each plot according to its treatment type. Each spring, corn silage was planted in rows at a rate of 87500 plants per hectare. The cultivar was Pioneer P8906HR. The LDMI experiment ended on November 30, 2015. The manure applied in this experiment was from the dairy herd at the Marshfield Research Station. Cows were fed a diet of 48% dry matter, 17.45% protein, and 72.8% total digestible nutrients. Liquid slurry manure, including feces, urine, and rain, was collected and stored in a lagoon on the site. Manure was withdrawn from the lagoon, spread on the plots and sampled for analysis all on the same day, once per year. Manure samples were analyzed at the University of Wisconsin Soil and Forage Lab in Marshfield (NH4-N, total P and total K) and at the Marshfield ARS (pH, dry matter, volatile solids, total N and total C). GHG fluxes from soil (CO2, CH4, N2O) were measured using static chambers as described in Parkin and Venterea (2010). Measurements were made with the chambers placed across the rows of corn. I Additional soil chemical and physical characteristics were measured as noted in the data dictionary and other metadata of the LDMI data set, included here. This experiment was part of “Climate Change Mitigation and Adaptation in Dairy Production Systems of the Great Lakes Region,” also known as the Dairy Coordinated Agricultural Project (Dairy CAP), funded by the United States Department of Agriculture - National Institute of Food and Agriculture (award number 2013-68002-20525). The main goal of the Dairy CAP was to improve understanding of the magnitudes and controlling factors over GHG emissions from dairy production in the Great Lakes region. Using this knowledge, the Dairy CAP has improved life cycle analysis (LCA) of GHG production by Great Lakes dairy farms, developing farm management tools, and conducting extension, education and outreach activities. Resources in this dataset:Resource Title: Data_dictionary_DairyCAP_LDMI. File Name: Data_dictionary_DairyCAP_LDMI.xlsxResource Description: This is the data dictionary for the Low-Disturbance Manure Incorporation (LDMI) experiment, conducted at the USDA-ARS research station in Marshfield, WI. (Separate spreadsheet tabs)Resource Software Recommended: Microsoft Excel 2016,url: https://products.office.com/en-us/excel Resource Title: DairyCAP_LDMI. File Name: DairyCAP_LDMI.xlsxResource Description: This is the data from the Low-Disturbance Manure Incorporation (LDMI) experiment, conducted at the USDA-ARS research station in Marshfield, WI.Resource Software Recommended: Microsoft Excel 2016,url: https://products.office.com/en-us/excel Resource Title: Data Dictionary DairyCAP LDMI. File Name: Data_dictionary_DairyCAP_LDMI.csvResource Description: This is the data dictionary for the Low-Disturbance Manure Incorporation (LDMI) experiment, conducted at the USDA-ARS research station in Marshfield, WI.
Resource Title: Biomass Data. File Name: LDMI_Biomass.csvResource Title: Experimental Set-up Data. File Name: LDMI_Exp_setup.csvResource Title: Gas Flux Data. File Name: LDMI_Gas_Fluxes.csvResource Title: Management History Data. File Name: LDMI_Management_History.csvResource Title: Manure Analysis Data. File Name: LDMI_Manure_Analysis.csvResource Title: Soil Chemical Data. File Name: LDMI_Soil_Chem.csvResource Title: Soil Physical Data. File Name: LDMI_Soil_Phys.csvResource Title: Weather Data. File Name: LDMI_Weather.csv
The Florida Flood Hub for Applied Research and Innovation and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 242 National Oceanic and Atmospheric Administration (NOAA) Atlas 14 stations in Florida. The change factors were computed as the ratio of projected future to historical extreme-precipitation depths fitted to extreme-precipitation data from downscaled climate datasets using a constrained maximum likelihood (CML) approach as described in https://doi.org/10.3133/sir20225093. The change factors correspond to the periods 2020-59 (centered in the year 2040) and 2050-89 (centered in the year 2070) as compared to the 1966-2005 historical period.
An R script (create_boxplot.R) is provided which generates boxplots of change factors by NOAA Atlas 14 station, or for all NOAA Atlas 14 stations in a Florida HUC-8 basin or county. In addition, the R script basin_boxplot.R is provided as an example on how to create a wrapper function that will automate the generation of boxplots of change factors for all Florida HUC-8 basins. This Microsoft Word file (Documentation_R_script_create_boxplot.docx) serves as documentation on the code usage and available options for running the scripts. As described in the documentation, the R scripts rely on some of the Microsoft Excel spreadsheets published as part of this data release.
The script uses basins defined in the "Florida Hydrologic Unit Code (HUC) Basins (areas)" from the Florida Department of Environmental Protection (FDEP; https://geodata.dep.state.fl.us/datasets/FDEP::florida-hydrologic-unit-code-huc-basins-areas/explore) and their names are listed in the file basins_list.txt provided with the script. County names are listed in the file counties_list.txt provided with the script. NOAA Atlas 14 stations located in each Florida HUC-8 basin or county are defined in the Microsoft Excel spreadsheet Datasets_station_information.xlsx which is part of this data release. Instructions are provided in code documentation (see highlighted text on page 7 of Documentation_R_script_create_boxplot.docx) so that users can modify the script to generate boxplots for basins different from the FDEP "Florida Hydrologic Unit Code (HUC) Basins (areas)."
This dataset contains all current and active business licenses issued by the Department of Business Affairs and Consumer Protection. This dataset contains a large number of records /rows of data and may not be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Notepad or Wordpad, to view and search.
Data fields requiring description are detailed below.
APPLICATION TYPE: 'ISSUE' is the record associated with the initial license application. 'RENEW' is a subsequent renewal record. All renewal records are created with a term start date and term expiration date. 'C_LOC' is a change of location record. It means the business moved. 'C_CAPA' is a change of capacity record. Only a few license types my file this type of application. 'C_EXPA' only applies to businesses that have liquor licenses. It means the business location expanded.
LICENSE STATUS: 'AAI' means the license was issued.
Business license owners may be accessed at: http://data.cityofchicago.org/Community-Economic-Development/Business-Owners/ezma-pppn To identify the owner of a business, you will need the account number or legal name.
Data Owner: Business Affairs and Consumer Protection
Time Period: Current
Frequency: Data is updated daily
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Rank and count of the top names for baby girls, changes in rank since the previous year and breakdown by country, region, mother's age and month of birth.
The Agricultural Research Service of the US Department of Agriculture (USDA) in collaboration with other government agencies has a program to track changes in the sodium content of commercially processed and restaurant foods. This monitoring program includes these activities: Tracking sodium levels of ~125 popular foods, called "Sentinel Foods," by periodically sampling them at stores and restaurants around the country, followed by laboratory analyses. Tracking levels of "related" nutrients that could change when manufacturers reformulate their foods to reduce sodium; these related nutrients are potassium, total and saturated fat, total dietary fiber, and total sugar. Sharing the results of these monitoring activities to the public periodically in the Sodium Monitoring Dataset and USDA National Nutrient Database for Standard Reference and once every two years in the Food and Nutrient Database for Dietary Studies. The Sodium Monitoring Dataset is downloadable in Excel spreadsheet format. Resources in this dataset:Resource Title: Data Dictionary. File Name: SodiumMonitoringDataset_datadictionary.csvResource Description: Defines variables, descriptions, data types, character length, etc. for each of the spreadsheets in this Excel data file: Sentinel Foods - Baseline; Priority-2 Foods - Baseline; Sentinel Foods - Monitoring; Priority-2 Foods - Monitoring.Resource Title: Sodium Monitoring Dataset (MS Excel download). File Name: SodiumMonitoringDatasetUpdatedJuly2616.xlsxResource Description: Microsoft Excel : Sentinel Foods - Baseline; Priority-2 Foods - Baseline; Sentinel Foods - Monitoring; Priority Foods - Monitoring.
This dataset contains all current and active business licenses issued by the Department of Business Affairs and Consumer Protection. This dataset contains a large number of records /rows of data and may not be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Notepad or Wordpad, to view and search.
Data fields requiring description are detailed below.
APPLICATION TYPE: 'ISSUE' is the record associated with the initial license application. 'RENEW' is a subsequent renewal record. All renewal records are created with a term start date and term expiration date. 'C_LOC' is a change of location record. It means the business moved. 'C_CAPA' is a change of capacity record. Only a few license types my file this type of application. 'C_EXPA' only applies to businesses that have liquor licenses. It means the business location expanded.
LICENSE STATUS: 'AAI' means the license was issued.
Business license owners may be accessed at: http://data.cityofchicago.org/Community-Economic-Development/Business-Owners/ezma-pppn To identify the owner of a business, you will need the account number or legal name.
Data Owner: Business Affairs and Consumer Protection
Time Period: Current
Frequency: Data is updated daily
Business licenses issued by the Department of Business Affairs and Consumer Protection in the City of Chicago from 2002 to the present. This dataset contains a large number of records/rows of data and may not be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Notepad or Wordpad, to view and search.
Data fields requiring description are detailed below.
APPLICATION TYPE: ‘ISSUE’ is the record associated with the initial license application. ‘RENEW’ is a subsequent renewal record. All renewal records are created with a term start date and term expiration date. ‘C_LOC’ is a change of location record. It means the business moved. ‘C_CAPA’ is a change of capacity record. Only a few license types may file this type of application. ‘C_EXPA’ only applies to businesses that have liquor licenses. It means the business location expanded. 'C_SBA' is a change of business activity record. It means that a new business activity was added or an existing business activity was marked as expired.
LICENSE STATUS: ‘AAI’ means the license was issued. ‘AAC’ means the license was cancelled during its term. ‘REV’ means the license was revoked. 'REA' means the license revocation has been appealed.
LICENSE STATUS CHANGE DATE: This date corresponds to the date a license was cancelled (AAC), revoked (REV) or appealed (REA).
Business License Owner information may be accessed at: https://data.cityofchicago.org/dataset/Business-Owners/ezma-pppn. To identify the owner of a business, you will need the account number or legal name, which may be obtained from this Business Licenses dataset.
Data Owner: Business Affairs and Consumer Protection. Time Period: January 1, 2002 to present. Frequency: Data is updated daily.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
In the framework of Articles 23 and 33 of Regulation (EC) No 178/2002 EFSA has received from the European Commission a mandate (M-2010-0374) to collect all available data on the occurrence of chemical contaminants in food and feed. These data are used in EFSA’s scientific opinions and reports on contaminants in food and feed.
This data providers package provides the data collection configuration and supporting materials for reporting Chemical Contaminants in SSD1. These are to be used for the official data reporting phase.
The package includes:
The Standard Sample Description Version 2 XSD schema definition for CONTAMINANTS reporting.
The general and CONTAMINANTS SSD1 specific business rules applied for the automatic validation of the submitted datasets.
Excel Mapping tool to convert excel files after mapping into XML document.
Please follow the instructions below for the correct use of the mapping tool to avoid compromising its functionalities:
Download and save the MS Excel® Standard Sample Description file to your computer (do not open the file before saving and do not change the file name)
Download and save the file MS Excel® Simplified Reporting Format (do not open the file before saving)
Keep both Excel files in the same folder
Open both Excel files and enable the macros
Keep both files open in the same Excel instance when filling in the data
Guidance on how to run the validation report after submitting data to the DCF.
This dataset contains all current and active business licenses issued by the Department of Business Affairs and Consumer Protection. This dataset contains a large number of records /rows of data and may not be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Notepad or Wordpad, to view and search.
Data fields requiring description are detailed below.
APPLICATION TYPE: 'ISSUE' is the record associated with the initial license application. 'RENEW' is a subsequent renewal record. All renewal records are created with a term start date and term expiration date. 'C_LOC' is a change of location record. It means the business moved. 'C_CAPA' is a change of capacity record. Only a few license types my file this type of application. 'C_EXPA' only applies to businesses that have liquor licenses. It means the business location expanded.
LICENSE STATUS: 'AAI' means the license was issued.
Business license owners may be accessed at: http://data.cityofchicago.org/Community-Economic-Development/Business-Owners/ezma-pppn To identify the owner of a business, you will need the account number or legal name.
Data Owner: Business Affairs and Consumer Protection
Time Period: Current
Frequency: Data is updated daily
This is the raw particulate matter data. Each sheet (tab) is formatted to be exported as a .csv for use with the R-code (AQ-June20.R). In order for this code to work properly, it is important that this file remain intact. Do not change the column names or codes for data, for example. And to be safe, don’t even sort. One simple change in the excel file could make the code full of bugs.
This is the carbon monoxide data. Each sheet (tab) is formatted to be exported as a .csv for use with the R-code (AQ-June20.R). In order for this code to work properly, it is important that this file remain intact. Do not change the column names or codes for data, for example. And to be safe, don’t even sort. Just in case. One simple change in the excel file could make the code full of bugs.
Methane concentration of biogas. Each sheet (tab) is formatted to be exported as a .csv for use with the R-code (AQ-June20.R). In order for this code to work properly, it is important that this file remain intact. Do not change the column names or codes for data, for example. And to be safe, don’t even sort. Just in case. One simple change in the excel file could make the code full of bugs.
NOTE, 2/21/2025 - We have added three geographic columns to this dataset.
Business licenses issued by the Department of Business Affairs and Consumer Protection in the City of Chicago from 2002 to the present. This dataset contains a large number of records/rows of data and may not be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Notepad or Wordpad, to view and search.
Data fields requiring description are detailed below.
APPLICATION TYPE: ‘ISSUE’ is the record associated with the initial license application. ‘RENEW’ is a subsequent renewal record. All renewal records are created with a term start date and term expiration date. ‘C_LOC’ is a change of location record. It means the business moved. ‘C_CAPA’ is a change of capacity record. Only a few license types may file this type of application. ‘C_EXPA’ only applies to businesses that have liquor licenses. It means the business location expanded. 'C_SBA' is a change of business activity record. It means that a new business activity was added or an existing business activity was marked as expired.
LICENSE STATUS: ‘AAI’ means the license was issued. ‘AAC’ means the license was cancelled during its term. ‘REV’ means the license was revoked. 'REA' means the license revocation has been appealed.
LICENSE STATUS CHANGE DATE: This date corresponds to the date a license was cancelled (AAC), revoked (REV) or appealed (REA).
Business License Owner information may be accessed at: https://data.cityofchicago.org/dataset/Business-Owners/ezma-pppn. To identify the owner of a business, you will need the account number or legal name, which may be obtained from this Business Licenses dataset.
Data Owner: Business Affairs and Consumer Protection. Time Period: January 1, 2002 to present. Frequency: Data is updated daily.
This dataset contains all current and active business licenses issued by the Department of Business Affairs and Consumer Protection. This dataset contains a large number of records /rows of data and may not be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Notepad or Wordpad, to view and search.
Data fields requiring description are detailed below.
APPLICATION TYPE: 'ISSUE' is the record associated with the initial license application. 'RENEW' is a subsequent renewal record. All renewal records are created with a term start date and term expiration date. 'C_LOC' is a change of location record. It means the business moved. 'C_CAPA' is a change of capacity record. Only a few license types my file this type of application. 'C_EXPA' only applies to businesses that have liquor licenses. It means the business location expanded.
LICENSE STATUS: 'AAI' means the license was issued.
Business license owners may be accessed at: http://data.cityofchicago.org/Community-Economic-Development/Business-Owners/ezma-pppn To identify the owner of a business, you will need the account number or legal name.
Data Owner: Business Affairs and Consumer Protection
Time Period: Current
Frequency: Data is updated daily
This dataset contains all current and active business licenses issued by the Department of Business Affairs and Consumer Protection. This dataset contains a large number of records /rows of data and may not be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Notepad or Wordpad, to view and search.
Data fields requiring description are detailed below.
APPLICATION TYPE: 'ISSUE' is the record associated with the initial license application. 'RENEW' is a subsequent renewal record. All renewal records are created with a term start date and term expiration date. 'C_LOC' is a change of location record. It means the business moved. 'C_CAPA' is a change of capacity record. Only a few license types my file this type of application. 'C_EXPA' only applies to businesses that have liquor licenses. It means the business location expanded.
LICENSE STATUS: 'AAI' means the license was issued.
Business license owners may be accessed at: http://data.cityofchicago.org/Community-Economic-Development/Business-Owners/ezma-pppn To identify the owner of a business, you will need the account number or legal name.
Data Owner: Business Affairs and Consumer Protection
Time Period: Current
Frequency: Data is updated daily
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CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
The LDMI experiment (Low-Disturbance Manure Incorporation) was designed to evaluate nutrient losses with conventional and improved liquid dairy manure management practices in a corn silage (Zea mays) / rye cover-crop (Secale cereale) system. The improved manure management treatments were designed to incorporate manure while maintaining crop residue for erosion control. Field observations included greenhouse gas (GHG) fluxes from soil, soil nutrient concentrations, crop growth and harvest biomass and nutrient content, as well as monitoring of soil physical and chemical properties. Observations from LDMI have been used for parameterization and validation of computer simulation models of GHG emissions from dairy farms (Gaillard et al., submitted). The LDMI experiment was performed as part of the Dairy CAP, described below. The experiment included ten different treatments: (1) broadcast manure with disk-harrow incorporation, (2) broadcast manure with no tillage incorporation, (3) manure application with “strip-tillage” which was sweep injection ridged with paired disks, (4) aerator band manure application, (5) low-disturbance sweep injection of manure, (6) Coulter injection of manure with sweep tillage, (7) no manure with urea to supply 60 lb N/acre (67 kg N/ha), (8) no manure with urea to supply 120 lb N/acre (135 kg N/ha), (9) no manure with urea to supply 180 lb N/acre (202 kg N/ha), (10) no manure / no fertilizer control. Manure was applied in the fall; fertilizer was applied in the spring. These ten treatments were replicated four times in a randomized complete block design. The LDMI experiment was conducted at the Marshfield Research Station of the University of Wisconsin and the USDA Agricultural Research Service (ARS) in Stratford, WI (Marathon County, Latitude 44.7627, Longitude -90.0938). Soils at the research station are from the Withee soil series, fine-loamy, mixed, superactive, frigid Aquic Glossudalf. Each experimental plot was approximately 70 square meters. A weather station was located at the south edge of field site. A secondary weather station (MARS South), for snow and snow water equivalence data and for backup of the main weather station, was located at Latitude 44.641445 and Longitude -90.133526 (16,093 meters southwest of the field site). The experiment was initiated on November 28, 2011 with fall tillage and manure application in each plot according to its treatment type. Each spring, corn silage was planted in rows at a rate of 87500 plants per hectare. The cultivar was Pioneer P8906HR. The LDMI experiment ended on November 30, 2015. The manure applied in this experiment was from the dairy herd at the Marshfield Research Station. Cows were fed a diet of 48% dry matter, 17.45% protein, and 72.8% total digestible nutrients. Liquid slurry manure, including feces, urine, and rain, was collected and stored in a lagoon on the site. Manure was withdrawn from the lagoon, spread on the plots and sampled for analysis all on the same day, once per year. Manure samples were analyzed at the University of Wisconsin Soil and Forage Lab in Marshfield (NH4-N, total P and total K) and at the Marshfield ARS (pH, dry matter, volatile solids, total N and total C). GHG fluxes from soil (CO2, CH4, N2O) were measured using static chambers as described in Parkin and Venterea (2010). Measurements were made with the chambers placed across the rows of corn. I Additional soil chemical and physical characteristics were measured as noted in the data dictionary and other metadata of the LDMI data set, included here. This experiment was part of “Climate Change Mitigation and Adaptation in Dairy Production Systems of the Great Lakes Region,” also known as the Dairy Coordinated Agricultural Project (Dairy CAP), funded by the United States Department of Agriculture - National Institute of Food and Agriculture (award number 2013-68002-20525). The main goal of the Dairy CAP was to improve understanding of the magnitudes and controlling factors over GHG emissions from dairy production in the Great Lakes region. Using this knowledge, the Dairy CAP has improved life cycle analysis (LCA) of GHG production by Great Lakes dairy farms, developing farm management tools, and conducting extension, education and outreach activities. Resources in this dataset:Resource Title: Data_dictionary_DairyCAP_LDMI. File Name: Data_dictionary_DairyCAP_LDMI.xlsxResource Description: This is the data dictionary for the Low-Disturbance Manure Incorporation (LDMI) experiment, conducted at the USDA-ARS research station in Marshfield, WI. (Separate spreadsheet tabs)Resource Software Recommended: Microsoft Excel 2016,url: https://products.office.com/en-us/excel Resource Title: DairyCAP_LDMI. File Name: DairyCAP_LDMI.xlsxResource Description: This is the data from the Low-Disturbance Manure Incorporation (LDMI) experiment, conducted at the USDA-ARS research station in Marshfield, WI.Resource Software Recommended: Microsoft Excel 2016,url: https://products.office.com/en-us/excel Resource Title: Data Dictionary DairyCAP LDMI. File Name: Data_dictionary_DairyCAP_LDMI.csvResource Description: This is the data dictionary for the Low-Disturbance Manure Incorporation (LDMI) experiment, conducted at the USDA-ARS research station in Marshfield, WI.
Resource Title: Biomass Data. File Name: LDMI_Biomass.csvResource Title: Experimental Set-up Data. File Name: LDMI_Exp_setup.csvResource Title: Gas Flux Data. File Name: LDMI_Gas_Fluxes.csvResource Title: Management History Data. File Name: LDMI_Management_History.csvResource Title: Manure Analysis Data. File Name: LDMI_Manure_Analysis.csvResource Title: Soil Chemical Data. File Name: LDMI_Soil_Chem.csvResource Title: Soil Physical Data. File Name: LDMI_Soil_Phys.csvResource Title: Weather Data. File Name: LDMI_Weather.csv