Working Excel spreadsheet compilation of recently published GMarc normalized datasets mapped onto granular segments of canonical Luke and related statistical findings. There are now over 56400 word tokens mapped.

Working Excel spreadsheet compilation of recently published GMarc normalized datasets mapped onto granular segments of canonical Luke and related statistical findings. There are approximately 25000 total word tokens mapped so far.

Foraminiferal samples were collected from Chincoteague Bay, Newport Bay, and Tom’s Cove as well as the marshes on the back-barrier side of Assateague Island and the Delmarva (Delaware-Maryland-Virginia) mainland by U.S. Geological Survey (USGS) researchers from the St. Petersburg Coastal and Marine Science Center in March, April (14CTB01), and October (14CTB02) 2014. Samples were also collected by the Woods Hole Coastal and Marine Science Center (WHCMSC) in July 2014 and shipped to the St. Petersburg office for processing. The dataset includes raw foraminiferal and normalized counts for the estuarine grab samples (G), terrestrial surface samples (S), and inner shelf grab samples (G). For further information regarding data collection and sample site coordinates, processing methods, or related datasets, please refer to USGS Data Series 1060 (https://doi.org/10.3133/ds1060), USGS Open-File Report 2015–1219 (https://doi.org/10.3133/ofr20151219), and USGS Open-File Report 2015-1169 (https://doi.org/10.3133/ofr20151169). Downloadable data are available as Excel spreadsheets, comma-separated values text files, and formal Federal Geographic Data Committee metadata.

This dataset contains Normalized Difference Vegetation Index (NDVI), Leaf Area Index (LAI) and Phytomass data collected at the Ivotuk field site during the growing season of 1999. The worksheets within this Excel file contain Mean NDVI and LAI data, raw NDVI and LAI data, seasonal mean phytomass, peak phytomass data and raw phytomass data separated by sampling period.

The following data entry sheets are designed to quantify salinity normalized seawater total alkalinity anomalies (∆nTA) from inputs of offshore and coral reef total alkalinity (TA) and salinity (S) data while taking into account the various sources of uncertainty associated with these data normalizations and calculations to estimate the CDP for each reef observation (for details see Courtney et al., 2021). Only cells blocked in white should be modified on the "Data Entry" sheet and all cells blocked in gray are locked to protect the formulas from being modfied. Data for at least one offshore TA and S sample and one coral reef TA and S sample must be entered to display the ∆nTA and CDP for the given reef system. The equations herein will average all offshore TA and S data to calculate the ∆nTA to leverage all possible data. Additionally, the spreadsheets allow for the reference S to be set to the mean offshore or mean coral reef S and are calculated for a range of freshwater TA endmembers, including the option for a user defined value. ∆nTA is calculated as per the following equations from Courtney et al (2021). The CDP summary page also provides a number of summary graphs to visualize (1) whether there are apparent relationships between coral reef TA and S, (2) how the ∆nTA of the inputted data compares to global coral reef ∆TA data from Cyronak et al. (2018), (3) how the ∆nTA data varies spatially across the reef locations, and (4) how well the ∆nTA data covers a complete diel cycle. For further details on the uncertainties associated with the salinity normalization of coral reef data and relevant equations, please see the following publication: Courtney TA, Cyronak T, Griffin AJ, Andersson AJ (2021) Implications of salinity normalization of seawater total alkalinity in coral reef metabolism studies. PLOS One 16(12): e0261210. https://doi.org/10.1371/journal.pone.0261210 Please cite as: Courtney TA & Andersson AJ (2022) Calcification Dissolution Potential Tool for Excel: Version 1. https://doi.org/10.5281/zenodo.7051628

This dataset contains Normalized Difference Vegetation Index (NDVI) images of the 1999 growing season of the Toolik Lake Field station to document differences in on study site in control and treatment plots. For more information, please see the readme file. NOTE: This dataset contains the data in EXCEL format.

A post-processed Excel file (xlsx-files) that contains stride-normalized data. This data includes saggital plane ankle angle, knee angle, hip angle, and non-dimentional ankle power, knee power, and hip power, as well as EMG of the Gastrocnemius (GAS), Rectus femoris (RF), vastus lateralis (VL), biceps femoris (BF), semitendinosis (ST) and erector spinae (ERS). At last, this xlsx file contains ground reaction force in the anterior-posterior (ap), medio-lateral (ml) and vertical (vert) direction. This data is similar to the MAT-files.

ERS annually calculates "normalized prices," which smooth out the effects of shortrun seasonal or cyclical variation, for key agricultural inputs and outputs. They are used to evaluate the benefits of projects affecting agriculture.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: Web page with links to Excel files For complete information, please visit https://data.gov.

Additional table:The compositional variation of the Formula Diet fed to the experimental mice (Table 1), Differentially expressed genes by effect of RS, DJ, and DJ526 (Table 2), The most highly significant up-regulated and down-regulated pathways in the livers of mice on RS, DJ and DJ526 towards those on Ctrl groups (Table 3)Excel file: Globally normalized data (Fold change raw data), Z transformed data (Z-ratio raw data), and GSEA results

Business licenses issued by the Department of Business Affairs and Consumer Protection in the City of Chicago from 2006 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.

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, 2006 to present. Frequency: Data is updated daily.

This dataset contains changes in Normalized Difference Vegetation Index (NDVI) data from International Tundra Experiment (ITEX) 1999. This dataset is in Excel Format. For more information, please see the readme file.

This dataset from the VIRTA Publication Information Service consists of the metadata of 241,575 publications of Finnish universities (publication years 2016–2021) merged from yearly datasets downloaded from https://wiki.eduuni.fi/display/cscvirtajtp/Vuositasoiset+Excel-tiedostot.

The dataset contains following information:

• Organisation: name of the university
• Publication year: the year of publication
• Subfield: one of 66 fields of science based on Statistics Finland field of science classification (in Finnish), see the classification in English: https://www2.stat.fi/en/luokitukset/tieteenala/
• Peer-reviewed: 1=peer-reviewed publications, 0=not peer-reviewed publications
• Science communication: 1=publications aimed at professional and general audiences, 0=peer-reviewed and not peer-reviewed publications aimed at academic audience.
• Bibliodiversity: 1=peer-reviewed book publications (chapters, monographs and edited volumes) and conference articles, 0=peer-reviewed journal articles.
• Multilingualism: share of peer-reviewed publications in languages other than English (Finnish, Swedish and other languages).
• Domestic publishing: 1=peer-reviewed publications in journals and books published in Finland, 0=peer-reviewed publications in journals and books published outside Finland.
• Domestic collaboration: 1=peer-reviewed publications with co-authors from more than one Finnish university, 0=peer-reviewed publications without co-authors from more than one Finnish university.
• International collaboration: 1=share of peer-reviewed publications with co-authors affiliated with foreign institutions, 0=share of peer-reviewed publications without co-authors affiliated with foreign institutions.
• Research performance: 1=peer-reviewed outputs in JUFO levels 2 (“leading”) and 3 (“top”) publication channels, 0=peer-reviewed outputs in JUFO levels 1 (“basic”) and 0 (“other”) publication channels.
• Open access: 1=peer-reviewed open access publications, including gold, hybrid and green OA, 0=peer-reviewed closed publications.

A Data. Full data set, organized by transfected plate number. Shown is the average of duplicate wells in each transfection, normalized as F/R/Ba (see S10B File). Samples used in the figures are highlighted in bold, red font. B Example. Illustration of the data processing. Raw firefly counts (F counts) are normalized to the renilla control (R counts) for each well to give “F/R”. The two Ba710 control samples in each plate are averaged to give “Ba”. Each F/R value is then normalized to the Ba value to give “F/R/Ba”. The duplicate F/R/Ba values are averaged to give the activity of each sample for that transfection. This number is used in further analysis as an “n” of 1. (XLSX)

This USGS data release represents the input data used to identify trends in New Jersey streams, water years 1971-2011 and the results of Weighted Regression on Time, Discharge, and Season (WRTDS) models and seasonal rank-sum tests. The data set consists of CSV tables and Excel workbooks of: • trends_InputData_NJ_1971_2011: Reviewed water-quality values and qualifiers at selected stream stations in New Jersey over water years 1971-2011 • trends_WRTDS_AnnualValues_NJ_1971_2011: Annual concentrations and fluxes for each water-quality characteristic at each station from WRTDS models • trends_WRTDS_Changes_NJ_1971_2011: Changes and trends in flow-normalized concentrations and fluxes determined from WRTDS models • trends_SeasonalRankSum_results_NJ_1971_2011: Results of seasonal rank-sum tests to identify step trends between concentrations in the 1970s, 1980s, 1990s, and 2000s at selected stations on streams in New Jersey. These data support the following publication: Hickman, R.E. ...

Expression (normalized read count) for breast cancer specific 79 fusion-protein and 419 3′-truncated protein transcripts. Expression is the normalized RNA-Seq read counts as estimated using RSEM and followed by upper quartile normalization. File contains expression data for breast cancer specific fusion-protein and 3′-truncated protein transcripts only. The first sheet in the excel file contains the data columns and a key describing the data is on the second excel sheet. (XLSX 33 kb)