This data set contains hourly resolution surface meteorological data from the Mesonet Arizona Meteorological Network (AZMET). There are 28 stations covered by this data set, located across the state of Arizona. This data set covers the period from 1 January 2004 to 31 December 2004. These data are in comma delimited ASCII format. NCAR/EOL has not done any processing or quality control on these data.

Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited. This data set combines data for several parameters measured as part of the Soil Moisture Experiment 2004 (SMEX04) in the regional study area of Arizona, USA.

Twitter is a social news website. It can be viewed as a hybrid of email, instant messaging and sms messaging all rolled into one neat and simple package. It s a new and easy way to discover the latest news related to subjects you care about. |Attribute|Value| |-|-| |Number of Nodes: |11316811| |Number of Edges: |85331846| |Missing Values? |no| |Source:| N/A| ##Data Set Information: 1. nodes.csv — it s the file of all the users. This file works as a dictionary of all the users in this data set. It s useful for fast reference. It contains all the node ids used in the dataset 2. edges.csv — this is the friendship/followership network among the users. The friends/followers are represented using edges. Edges are directed. Here is an example. 1,2 This means user with id "1" is followering user with id "2". ##Attribute Information: Twitter is a social news website. It can be viewed as a hybrid of email, instant messaging and sms messaging all rolled into one ne

Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited.The SMEX04 Soil Characteristics data set contains data for Arizona, USA as part of the 2004 Soil Moisture Experiment (SMEX04). The original data were extracted from a multi-layer soil characteristics database for the conterminous United States and generated using Environmental Systems Research Institute (ESRI) ArcMap software for the regional study area.

Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited. The data set SMEX04 Surface Roughness Data is comprised of data collected over the regional study areas of Arizona, USA and Sonora, Mexico as part of the 2004 Soil Moisture Experiment (SMEX04).

These are terrestrial laser scanner datasets collected in forested areas west of Flagstaff, Arizona in 2015 and 2016. For each of the two scanners, six treatment areas were scanned, with four of them overlapping one another (Figure 1). These data are composed of individual scans referenced to one another using reflective targets, and geolocated using differentially corrected GPS and RTK locations of scan locations (Figure 3). There were overall large differences in point density among the two scanners (Figure 2).

This page provides data for the 3rd Grade Reading Level Proficiency performance measure.The dataset includes the student performance results on the English/Language Arts section of the AzMERIT from the Fall 2017 and Spring 2018. Data is representive of students in third grade in public elementary schools in Tempe. This includes schools from both Tempe Elementary and Kyrene districts. Results are by school and provide the total number of students tested, total percentage passing and percentage of students scoring at each of the four levels of proficiency. The performance measure dashboard is available at 3.07 3rd Grade Reading Level Proficiency.Additional InformationSource: Arizona Department of EducationContact: Ann Lynn DiDomenicoContact E-Mail: Ann_DiDomenico@tempe.govData Source Type: Excel/ CSVPreparation Method: Filters on original dataset: within "Schools" Tab School District [select Tempe School District and Kyrene School District]; School Name [deselect Kyrene SD not in Tempe city limits]; Content Area [select English Language Arts]; Test Level [select Grade 3]; Subgroup/Ethnicity [select All Students] Remove irrelevant fields; Add Fiscal YearPublish Frequency: Annually as data becomes availablePublish Method: ManualData Dictionary

Parent directory for the Arizona Experiment Station https://aes.cals.arizona.edu/

Dataset available only to University of Arizona affiliates. To obtain access, you must log in to ReDATA with your NetID. Data is for research use by each individual downloader only. Sharing and/or redistribution of any portion of this dataset is prohibited.The ReferenceUSA datasets from Data Axle (formerly Infogroup) contain establishment-level data about US businesses in annual snapshots from 1997-2021 and can help users create marketing plans and conduct competitive analyses. Each year has 53-94 indicators, with documentation for layouts found in Documentation.zip. Codebooks for 2015, 2017, and 2019 are missing, but all file layouts for 2014-2021 are identical.The University of Arizona University Libraries also subscribe to Data Axle Reference Solutions which provides this data in a searchable, online database with historical data available going back to 2003.NOTE: The uncompressed datasets are very large.Detailed file descriptions and MD5 hash values for each file can be found in the README.txt file.For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu

The map indexes consist predominantly of maps published by the U.S. Geological Survey, AZ state agencies and Universities, and professional societies. This resource is available as a downloadable pdf, for more information see links provided.

U.S. Census Bureau QuickFacts statistics for Arizona. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

This dataset provides globally continuous, daily snow and ice cover information at a high spatial resolution (0.1° latitude/longitude grid) for the period from January 1, 1980, to June 30, 1987. It extends the Global Automated Snow and Ice Mapping System (GMASI) dataset, which begins in July 1987. For access to GMASI snow and ice cover data starting in 1987, users can visit: https://www.star.nesdis.noaa.gov/pub/smcd/emb/snow/gmasi_reprocessing/dailymaps/data/.The extended dataset was developed using advanced machine learning techniques, specifically a Random Forest algorithm, applied to ERA5 reanalysis data. This dataset is designed to support diverse applications, including climate studies, hydrological modeling, and long-term precipitation analyses.For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu

Graph and download economic data for Unemployed Persons in Arizona (LASST040000000000004) from Jan 1976 to May 2025 about AZ, household survey, unemployment, persons, and USA.

Digital version of Richard, S.M., Reynolds, S.J., Spencer, J.E., and Pearthree, P.A., comps., 2000, Geologic Map of Arizona: Arizona Geological Survey Map M-35, 1 sheet, scale 1:1,000,000. This dataset is available through a number of different distributions. An ESRI service and Web map service was created as a contribution to OneGeology. The same data is available in a format closer to the NCGMP09 database format as an ESRI Service, a Web map and Web feature service. Finally, an online viewing application was created.

Graph and download economic data for Employed Persons in Arizona (LASST040000000000005) from Jan 1976 to Apr 2025 about AZ, household survey, employment, persons, and USA.

Graph and download economic data for All Employees: Government in Arizona (AZGOVT) from Jan 1990 to May 2025 about AZ, government, employment, and USA.

One hundred tree ring chronologies were provided by the University of Arizona. The individual chronology lengths vary widely, with the longest one extending from year 1 to 1972. Chronologies generally end in the late 1960s or early 1970s.

Graph and download economic data for All Employees: Trade, Transportation, and Utilities in Tucson, AZ (MSA) (TUCS004TRAD) from Jan 1990 to May 2025 about Tucson, utilities, AZ, trade, transportation, employment, and USA.

R code and data for a landscape scan of data services at academic libraries. Original data is licensed CC By 4.0, data obtained from other sources is licensed according to the original licensing terms. R scripts are licensed under the BSD 3-clause license. Summary This work generally focuses on four questions:

Which research data services does an academic library provide? For a subset of those services, what form does the support come in? i.e. consulting, instruction, or web resources? Are there differences in support between three categories of services: data management, geospatial, and data science? How does library resourcing (i.e. salaries) affect the number of research data services?

Approach Using direct survey of web resources, we investigated the services offered at 25 Research 1 universities in the United States of America. Please refer to the included README.md files for more information.

For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu

This data set contains precipitation data from the ALERT weater station overseen by the Arizona Department of Water Resources. There is 1 station included in the data set. The data are collected on an event basis. The station is located in Cochise County in Arizona. This data set covers the period from 1 June to 30 September 2004. The data are in columnar ASCII format. The data are provided as is in their original format.