Supplementary file 2: Base data, plotted data (graphical and maps), and analysis data. Plotted data and analysis data are derived from the base data, using formulae in Excel. These data and corresponding Excel formulae are presented in the following worksheets.

Distribution of doses of a volatile organic compound from inhalation of one consumer product, other near -field sources, far-field sources, and aggregate (total) exposure. In this instance, far-field scenarios account for several orders of magnitude of less of the predicted dose compared to near-field scenarios. This dataset is associated with the following publication: Vallero, D. Air Pollution Monitoring Changes to Accompany the Transition from a Control to a Systems Focus. Sustainability. MDPI AG, Basel, SWITZERLAND, 8(12): 1216, (2016).

Abstract

The dataset was derived by the Bioregional Assessment Programme from stream gauge data provided by the Department of Environment, Land, Water and Planning. The parent dataset is identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement

This spreadsheet shows the intermediate processing steps to produce the Gippsland Flow Distribution graphs from the raw stream gauge data.

Dataset History

This excel spreadsheet was created by CSIRO for the Bioregional Assessment Programme. It includes the original data and all analysis undertaken to derive the flow distribution graphs presented in the Gippsland Bioregional Assessment Context Statement.

Dataset Citation

Bioregional Assessment Programme (2015) Gippsland 1.1 flow distribution calculation spreadsheet. Bioregional Assessment Derived Dataset. Viewed 29 September 2017, http://data.bioregionalassessments.gov.au/dataset/b0dc7bde-5b59-464b-a7a1-c53b45c0f425.

Dataset Ancestors

• Derived From Stream gauge data for GIP 1.1 flow distribution graphs

This dataset tabulates sorted simulation results for amounts of copper in metric tons. The data are output from the EMINERS computer program (Duval, J.S., 2012, Version 3.0 of EMINERS—Economic Mineral Resource Simulator: U.S. Geological Survey Open-File Report 2004–1344, http://pubs.usgs.gov/of/2004/1344) that were copied into a worksheet. The program was run with the input tabulated in the related worksheet Permissive tracts and input data

The "Summary of Test Conditions" worksheet provides details for Table 2 (Test Conditions), including the downstream control water levels for the regulating gate and the diversion gates. The "Normal Operation Data" worksheet includes data for normal operation, detailing flow velocities and water surface elevations from the box culvert to downstream of the regulating and diversion gates.The "Maintenance Condition Data" worksheet provides similar data for maintenance conditions.

This resource is a metadata compilation for Michigan geothermal related data in data exchange models submitted to the AASG National Geothermal Data System project to fulfill Year 3 data deliverables by the Michigan Geological Survey, Western Michigan University. Descriptions, links, and contact information for the ESRI Map Services created with Michigan data are also available here, including borehole temperature data, drill stem test data, lithology interval data, heat pump installations, physical samples, and well header data for the state of Michigan. The data and associated services were provided by the Michigan Geological Survey, Western Michigan University. The compilation is published as an Excel workbook containing header features including title, description, author, citation, originator, distributor, and resource URL links to scanned maps for download. The Excel workbook contains 6 worksheets, including information about the template, notes related to revisions of the template, resource provider information, the metadata, a field list (data mapping view) and vocabularies (data valid terms) used to populate the data worksheet. This metadata compilation was provided by the Michigan Geological Survey at Western Michigan University and made available for distribution through the National Geothermal Data System.

ResourcesMapTeacher guide Student worksheetVocabulary and puzzlesSelf-check questionsGet startedOpen the map.Use the teacher guide to explore the map with your class or have students work through it on their own with the worksheet.New to GeoInquiriesTM? See Getting to Know GeoInquiries.AP skills & objectives (CED)Skill 3.B: Describe spatial patterns presented in maps and in quantitative and geospatial data.PSO-2.A: Identify the factors that influence the distribution of human populations at different scales.SPS-2A: Explain the intent and effects of various population and immigration policies on population size and composition.Learning outcomesStudents will be able to visualize and analyze variations in the time-space compression.

Abstract Spreadsheet software is a practical and powerful computing and graphical tool. This study presents a simple way to build a physics simulation in spreadsheet software. The simulation aims to visualise spatial light intensity distribution on an optical fibre core. The simulation can visualise various modes. The mathematical equation in optical fibre is quite complicated. The visualisation may help students in interpreting the mathematical equation and making a connection between theoretical modelling and experiment.

Description: MRes Tropical Forest Ecology field course dataset examining distribution and phenology of Clidemia hirta Project: This dataset was collected as part of the following SAFE research project: MRes Tropical Forest Ecology Field Course XML metadata: GEMINI compliant metadata for this dataset is available here Files: This consists of 1 file: Clidemia_data_revisedCL2.xlsx Clidemia_data_revisedCL2.xlsx This file contains dataset metadata and 3 data tables:

Site_information (described in worksheet Site_information) Description: Information about the sites that were sampled Number of fields: 14 Number of data rows: 21 Fields:

Plot_Name: SAFE Project plot code (Field type: location) Subplot_Name: Subplot within vegetation plot. A = NW, B = NE, C = SW, D = SE (Field type: replicate) Lattitude: Latitude of plot (Field type: numeric) Longitude: Longitude of plot (Field type: numeric) GPS_Accuracy: Accuracy of GPS measurements (Field type: numeric) sampled.area: Proportion of plot that was surveyed. "Subplot" level refers to a 12.5 x 12.5 m2 surveyed within the 25 x 25 m2 vegetation plot. "25m2subset" refers to a 5 x 5 m2 subsetted survey area. "10m2subset" refers to a further subsetted survey area of 2 x 5 m2. "7/8plot" refers to a survey area of 7/8 of the 25 x 25 m2 vegetation plot. (Field type: categorical) Survey.area: The area surveyed (Field type: numeric) No.Individuals_sampled: Number of individuals observed in the sample plot (Field type: abundance) No.Individuals_per_ha: Number of individuals observed per hectare (Field type: abundance) Date: Date of survey (Field type: date) Time: Time of day (Field type: time) Collector_name: Names of data collectors (Field type: id) Comments: Additional description of the surveyed area and/or any adjustments on survey area (Field type: comments) Plot_photo: Link to photo of the plot; images are held on five.epicollect.net (Field type: id)

Plant_information (described in worksheet Plant_information) Description: Plot data on Clidemia hirta, including abundance and phenology Number of fields: 11 Number of data rows: 832 Fields:

Plot_name: SAFE Project plot code (Field type: location) Plant_Number: Numbered replicates of plants within surveyed area (Field type: replicate) Height: Height of the plant (Field type: numeric trait) Diameter1: Diameter of the plant (Field type: numeric trait) Diameter2: Diameter of the plant measured at right angles to Diameter1 (Field type: numeric trait) Total_No.Fruit: Number of fruits (Field type: numeric trait) No.Mature_Fruit: Number of mature fruits. Mature fruit defined by the purple coloration of the fruit (Field type: numeric trait) No.Immature_Fruit: Number of immature fruit (Field type: numeric trait) No.Flowers: Number of flowers (Field type: numeric trait) IndividualorClump: Whether the plants were examined individually or as a clump (Field type: categorical) No.Individuals: Number of stems assessed for phenology. In some cases we could not distinguish individual plants so reproductive output was assessed collectively for a group of individuals. Those rows therefore contains information combined from all these poorly distinguished individuals. (Field type: numeric trait)

Sugar_information (described in worksheet Sugar_information) Description: Sugar content of fruits collected from plots Number of fields: 12 Number of data rows: 15 Fields:

Site: SAFE Project plot code (Field type: location) WithbowlWetWeight: Wet weight of the samples (Field type: numeric) WithorWithoutBowlWet: Does WetWeight include weight of the bowl? (Field type: categorical) WithbowlDryWeight: Dry weight of the samples (Field type: numeric) WithorWithoutBowlDry: Does DryWeight include weight of the bowl? (Field type: categorical) Bowlweight: Weight of the bowl (Field type: numeric) BerryNumber: Number of individual fruits being weighed (Field type: numeric) EndWetWeight: Wet weight of fruits after removing weight of bowl (Field type: numeric) WaterCalculated: Volume of water needed to dilute the berry juice-water mixture into a ratio of juice:water = 2:3. (Field type: numeric) Wateractual: Actual volume of water added for dilution (Field type: numeric) Percentsugar: Sugar content of fruit (Field type: numeric trait) sugarpergramoffruit: Sugar density per weight of fruit (Field type: numeric trait) Date range: 2020-02-04 to 2020-02-11 Latitudinal extent: 4.6908 to 4.7300 Longitudinal extent: 117.5746 to 117.6515 Taxonomic coverage: All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.  -  Plantae  -  -  Tracheophyta  -  -  -  Magnoliopsida  -  -  -  -  Myrtales  -  -  -  -  -  Melastomataceae  -  -  -  -  -  -  Clidemia  -  -  -  -  -  -  -  Clidemia hirta

Description: Postdoctoral project Project: This dataset was collected as part of the following SAFE research project: The effects of habitat modification on the distribution and feeding ecology of Orthoptera Funding: These data were collected as part of research funded by:

Australian Research Council (ARC Discovery Project, DP140101541) This dataset is released under the CC-BY 4.0 licence, requiring that you cite the dataset in any outputs, but has the additional condition that you acknowledge the contribution of these funders in any outputs.

XML metadata: GEMINI compliant metadata for this dataset is available here Files: This consists of 1 file: Hardwick_Orthoptera_220811.xlsx Hardwick_Orthoptera_220811.xlsx This file contains dataset metadata and 1 data tables:

Orthoptera assemblage composition data 2015 (described in worksheet OrthopteraAssem) Description: Orthoptera assemblage composition data collected at the SAFE Project in 2015. Worksheet contains a site by morphospecies abundance matrix. Orthoptera were collected by sweep netting along a 100m transect at each location. Orthoptera were identified to family and seperated into morphospecies using identification guides. Number of fields: 95 Number of data rows: 48 Fields:

Date1: Date of the first collection (Field type: date) Date2: Date of the second collection (Field type: date) Location: SAFE Project location (2nd order) (Field type: location) Type: Disturbance gradient (Field type: ordered categorical) Collector: First initial and last name of person who collected the sample (Field type: categorical) ACRI01_count: Number collected along a 100m transect, twice sampled (Field type: abundance) ACRI02_count: Number collected along a 100m transect, twice sampled (Field type: abundance) ACRI03_count: Number collected along a 100m transect, twice sampled (Field type: abundance) ACRI04_count: Number collected along a 100m transect, twice sampled (Field type: abundance) ACRI05_count: Number collected along a 100m transect, twice sampled (Field type: abundance) ACRI06_count: Number collected along a 100m transect, twice sampled (Field type: abundance) ACRI07_count: Number collected along a 100m transect, twice sampled (Field type: abundance) ACRI08_count: Number collected along a 100m transect, twice sampled (Field type: abundance) ACRI09_count: Number collected along a 100m transect, twice sampled (Field type: abundance) ACRI10_count: Number collected along a 100m transect, twice sampled (Field type: abundance) ACRI11_count: Number collected along a 100m transect, twice sampled (Field type: abundance) ACRI12_count: Number collected along a 100m transect, twice sampled (Field type: abundance) ACRI13_count: Number collected along a 100m transect, twice sampled (Field type: abundance) ACRI14_count: Number collected along a 100m transect, twice sampled (Field type: abundance) ACRI15_count: Number collected along a 100m transect, twice sampled (Field type: abundance) ACRI16_count: Number collected along a 100m transect, twice sampled (Field type: abundance) ACRI17_count: Number collected along a 100m transect, twice sampled (Field type: abundance) ACRI18_count: Number collected along a 100m transect, twice sampled (Field type: abundance) ACRI19_count: Number collected along a 100m transect, twice sampled (Field type: abundance) ACRI20_count: Number collected along a 100m transect, twice sampled (Field type: abundance) TETR01_count: Number collected along a 100m transect, twice sampled (Field type: abundance) TETR02_count: Number collected along a 100m transect, twice sampled (Field type: abundance) TETR03_count: Number collected along a 100m transect, twice sampled (Field type: abundance) TETR04_count: Number collected along a 100m transect, twice sampled (Field type: abundance) TETR05_count: Number collected along a 100m transect, twice sampled (Field type: abundance) TETR06_count: Number collected along a 100m transect, twice sampled (Field type: abundance) TETR07_count: Number collected along a 100m transect, twice sampled (Field type: abundance) TETR08_count: Number collected along a 100m transect, twice sampled (Field type: abundance) TETR09_count: Number collected along a 100m transect, twice sampled (Field type: abundance) TETR10_count: Number collected along a 100m transect, twice sampled (Field type: abundance) TETR11_count: Number collected along a 100m transect, twice sampled (Field type: abundance) TETR12_count: Number collected along a 100m transect, twice sampled (Field type: abundance) TETR13_count: Number collected along a 100m transect, twice sampled (Field type: abundance) TETR14_count: Number collected along a 100m transect, twice sampled (Field type: abundance) TETR15_count: Number collected along a 100m transect, twice sampled (Field type: abundance) TETR16_count: Number collected along a 100m transect, twice sampled (Field type: abundance) TETR17_count: Number collected along a 100m transect, twice sampled (Field type: abundance) TETR18_count: Number collected along a 100m transect, twice sampled (Field type: abundance) TETR19_count: Number collected along a 100m transect, twice sampled (Field type: abundance) TETR20_count: Number collected along a 100m transect, twice sampled (Field type: abundance) TETR21_count: Number collected along a 100m transect, twice sampled (Field type: abundance) GRYL01_count: Number collected along a 100m transect, twice sampled (Field type: abundance) GRYL02_count: Number collected along a 100m transect, twice sampled (Field type: abundance) GRYL03_count: Number collected along a 100m transect, twice sampled (Field type: abundance) GRYL04_count: Number collected along a 100m transect, twice sampled (Field type: abundance) GRYL05_count: Number collected along a 100m transect, twice sampled (Field type: abundance) GRYL06_count: Number collected along a 100m transect, twice sampled (Field type: abundance) GRYL07_count: Number collected along a 100m transect, twice sampled (Field type: abundance) GRYL08_count: Number collected along a 100m transect, twice sampled (Field type: abundance) GRYL09_count: Number collected along a 100m transect, twice sampled (Field type: abundance) GRYL10_count: Number collected along a 100m transect, twice sampled (Field type: abundance) GRYL11_count: Number collected along a 100m transect, twice sampled (Field type: abundance) GRYL12_count: Number collected along a 100m transect, twice sampled (Field type: abundance) GRYL13_count: Number collected along a 100m transect, twice sampled (Field type: abundance) GRYL14_count: Number collected along a 100m transect, twice sampled (Field type: abundance) GRYL15_count: Number collected along a 100m transect, twice sampled (Field type: abundance) GRYL16_count: Number collected along a 100m transect, twice sampled (Field type: abundance) GRYL17_count: Number collected along a 100m transect, twice sampled (Field type: abundance) GRYL18_count: Number collected along a 100m transect, twice sampled (Field type: abundance) GRYL19_count: Number collected along a 100m transect, twice sampled (Field type: abundance) GRYL20_count: Number collected along a 100m transect, twice sampled (Field type: abundance) GRYL21_count: Number collected along a 100m transect, twice sampled (Field type: abundance) MOGO01_count: Number collected along a 100m transect, twice sampled (Field type: abundance) MOGO02_count: Number collected along a 100m transect, twice sampled (Field type: abundance) TRID01_count: Number collected along a 100m transect, twice sampled (Field type: abundance) TRID02_count: Number collected along a 100m transect, twice sampled (Field type: abundance) TRIG01_count: Number collected along a 100m transect, twice sampled (Field type: abundance) TRIG02_count: Number collected along a 100m transect, twice sampled (Field type: abundance) TRIG03_count: Number collected along a 100m transect, twice sampled (Field type: abundance) TRIG04_count: Number collected along a 100m transect, twice sampled (Field type: abundance) TRIG05_count: Number collected along a 100m transect, twice sampled (Field type: abundance) TRIG06_count: Number collected along a 100m transect, twice sampled (Field type: abundance) UNID01_count: Number collected along a 100m transect, twice sampled (Field type: abundance) UNID02_count: Number collected along a 100m transect, twice sampled (Field type: abundance) UNID03_count: Number collected along a 100m transect, twice sampled (Field type: abundance) UNID04_count: Number collected along a 100m transect, twice sampled (Field type: abundance) UNID05_count: Number collected along a 100m transect, twice sampled (Field type: abundance) UNID06_count: Number collected along a 100m transect, twice sampled (Field type: abundance) UNID07_count: Number collected along a 100m transect, twice sampled (Field type: abundance) UNID08_count: Number collected along a 100m transect, twice sampled (Field type: abundance) UNID09_count: Number collected along a 100m transect, twice sampled (Field type: abundance) UNID10_count: Number collected along a 100m transect, twice sampled (Field type: abundance) UNID12_count: Number collected along a 100m transect, twice sampled (Field type: abundance) UNID13_count: Number collected along a 100m transect, twice sampled (Field type: abundance) UNID14_count: Number collected along a 100m transect, twice sampled (Field type: abundance) UNID15_count: Number collected along a 100m transect, twice sampled (Field type: abundance) UNID16_count: Number collected along a 100m transect, twice sampled (Field type: abundance) UNID17_count: Number collected along a 100m transect, twice sampled (Field type: abundance) UNID18_count: Number collected along a 100m transect, twice sampled (Field type: abundance) UNID19_count: Number collected along a 100m transect, twice sampled (Field type: abundance) Date range: 2015-06-03 to 2015-08-14 Latitudinal extent: 4.6359 to 4.7509 Longitudinal extent: 116.9549 to

The files contains data for reproducing all the results in the article "Benchmarking density functional methods for harmonic vibrational frequencies" (IN REVIEW). The file frequency_data_for_statistical_analysis.xlsx is an excel file containing 11 differently named worksheets. Each worksheet contains the name of the XC functionals used. All the quantities are calculated using the standard mathematical formula of EXCEL. The distribution_of_signed_error_plot.pdf is a pdf file containing the distribution of signed error obtained for each molecule using 17 different XC functionals. The distribution plots are obtained using the distribution formula given in the upcoming article. All the plots have been created using GNUPLOT software. The text files are tab delimited text files obtained from the excel worksheets.

The data includes measured data from Ecoregions 69 and 70 in West Virginia. Paired biological and chemical grab samples are included. These data were used to estimate SC extirpation concentration (XC95) for benthic invertebrate genera. Also included are cumulative frequency distribution plots, scatter plots fitted with generalized additive models, and biogeographical maps of observations of each genus. The metadata and full data set is available in Supplemental Appendices S4 and S5, respectively. The output of 176 XC95 values from Ecoregions 69 and 70 are provided in Supplemental Appendix S6. Supplemental Appendix S7 depicts the probability of observing a genus for discrete ranges of SC. Supplemental Appendix S8 depicts the proportion of occurrence of a genus for discrete ranges of SC. Supplemental Appendix S9 shows the biogeographic distributions of the genera included in the data set. We also discuss limitations of this method to help avoid misinterpretations and inferential errors. A data dictionary is provided in Cond_DataFileColumnMetada-20161221. This dataset is associated with the following publication: Cormier, S., L. Zheng, E. Leppo, and A. Hamilton. Step-by-Step Calculation and Spreadsheet Tools for Predicting Stressor Levels that Extirpate Genera and Species. Integrated Environmental Assessment and Management. Allen Press, Inc., Lawrence, KS, USA, 14(2): 174-180, (2018).

This resource is a metadata compilation of a Bibliography for California Geothermal Publications. It was compiled by the California Geological Survey and made available for distribution through the National Geothermal Data System. The compilation is published as an Excel workbook containing header features including title, description, author, citation, originator, distributor, and resource URL links to scanned maps for download. The Excel workbook contains 6 worksheets, including information about the template, notes related to revisions of the template, Resource provider information, the data, a field list, and vocabularies (data valid terms) used to populate the data worksheet. This resource was provided by the Arizona Geological Survey and made available for distribution through the National Geothermal Data System.

This resource is a compilation of individual Excel workbooks containing temperature-depth log data and graphic profiles for wells in Florida counties. The files are provided in zipped archival folders. Each file contains a Resource Provider worksheet with contact information for the data source, and additional worksheets for each temperature-depth dataset and profile by site ID. Each set of data and profile includes information related to the log date, site name, site ID, county, location (lat/long), and information source. In addition to the temp-depth profile data, a graph is provided. The data were provided by the Florida Geological Survey and are available in the following format: Excel workbooks for download. The data were provided by the Florida Geological Survey and made available for distribution through the National Geothermal Data System.

This resource is a compilation of drill stem test observations compiled by the Utah Geological Survey, published as a Web feature service for the AASG National Geothermal Data System. The data is available in the following formats: web feature service, web map service, ESRI service and an Excel workbook for download. The workbook contains 8 worksheets, including information about the template, notes related to revisions of the template, resource provider information, the data, a field list (data mapping view) and a worksheet with vocabularies for use in populating the data worksheet (data valid terms). This data was compiled by the Utah Geological Survey and made available for distribution through the AASG National Geothermal Data Systems project. Access current version for Utah Well Tests at http://repository.stategeothermaldata.org/repository/resource/50ec3aefb656b70647f32e38bc3fe368/

This resource is metadata for 97 documents and reports related to California geothermal energy and science. It was compiled by the Arizona Geological Survey and made available for distribution through the AASG Geothermal Data System and published as an Excel workbook containing header features including title, description, author, citation, originator, distributor, and resource URL links to scanned maps for download. The Excel workbook contains 6 worksheets, including information about the template, notes related to revisions of the template, Resource provider information, the data, a field list and vocabularies for use in populating the data worksheet (data valid terms).

This resource is a metadata compilation for 11 collared and 11 uncollared Aeromagnetic Quad maps. It was compiled by the Rhode Island Geological Survey and University of Rhode Island. The data is published as an Excel workbook containing header features including title, description, author, citation, originator, distributor, and resource URL links to documents for download. The Excel workbook contains 6 worksheets, including information about the template, notes related to revisions of the template, resource provider information, the data, a field list, and vocabularies (data valid terms) used to populate the data worksheet. This information was provided by the Rhode Island Geological Survey and University of Rhode Island and made available for distribution through the National Geothermal Data System. To view these maps go to the Rhode Island Aeromagnetic Map collection at : http://repository.stategeothermaldata.org/repository/collection/dc2950e94fd12022579c7307b6297964/

Use of NIRS data as boundary conditions for CFD simulations (PMID27376865)This Excel file contains the following 4 worksheets that allow researchers to confirm, extend and apply the findings from PMID 27376865: Worksheet 1 - Windkessel parameters from Table 1 of the paper; Worksheet 2 - A blood flow distribution calculator that uses NIRS data as input; Worksheet 3 - Ensemble-averaged (n=6) blood flow waveforms in the ascending aorta under resting blood flow conditions and three levels of exercise; Worksheet 4 - A waveform creator that automatically generates ascending aortic blood flow waveforms during rest and exercise using cardiac output and heart rate data from any patient.DryadRespository_PMID27376865.xls

This resource is a metadata compilation for Michigan geothermal related data in data exchange models submitted to the AASG National Geothermal Data System project to fulfill Year 1 and 2 data deliverables by the Michigan Geological Survey, Western Michigan University. Descriptions, links, and contact information for the ESRI Map Services created using Michigan data are also available here, including borehole temperature data, aqueous chemistry data, drill stem tests, lithology intervals data, well log data, plus, map metadata and bibliographic references data. The data and associated services were provided by the Michigan Geological Survey, Western Michigan University. The compilation is published as an Excel workbook containing header features including title, description, author, citation, originator, distributor, and resource URL links to scanned maps for download. The Excel workbook contains 6 worksheets, including information about the template, notes related to revisions of the template, resource provider information, the metadata, a field list (data mapping view) and vocabularies (data valid terms) used to populate the data worksheet. This metadata compilation was provided by the Michigan Geological Survey at Western Michigan University and made available for distribution through the National Geothermal Data System.

This resource is a compilation of Borehole Temperature observation data compiled by the Louisiana Geologic Survey. The data are available in the following formats: web feature service, web map service, ESRI service endpoint, and an Excel workbook for download. The workbook contains six worksheets, including information about the template, notes related to revisions of the template, resource provider information, the data, a field list (data mapping view), and vocabularies (data valid terms) used to populate the data worksheet. This resource was provided by the Louisiana Geologic Survey and made available for distribution through the National Geothermal Data System.