31 to 40 of 4,694 Results
Mar 8, 2022
Carolina Tracker, 2022, "Sales and use tax", https://doi.org/10.15139/S3/AGYEER, UNF:6:3HmJue0plCeQ4QUBtR28aQ== [fileUNF]
The data records monthly taxable sales and gross sales and use tax collected for each county in North Carolina. The extract contains monthly sales and use tax for all counties in North Carolina from 2019 to the present. However, some anomalies in the data may occur because businesses were allowed to postpone their tax filing from the first half of...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Mar 8, 2022
Carolina Tracker, 2022, "Foreclosure filings", https://doi.org/10.15139/S3/EK1ZH6, UNF:6:TAKRLFvFqb9ZKJ7WwPc+eg== [fileUNF]
This extract lists all reported civil cases (including but not limited to foreclosure hearings) in the State of North Carolina for the previous 5 years. The most current update contains all records from January 2016-June 2020. As a result, this dataset is largely comprehensive, and represents the totality of foreclosure hearings and outcomes over t...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Mar 8, 2022
Carolina Tracker, 2022, "Eviction filings", https://doi.org/10.15139/S3/Z5LGNZ, UNF:6:X4EcStI6X0ng8a5nEj6l0A== [fileUNF]
This extract lists all reported civil cases (including but not limited to evictions) in the State of North Carolina for the prior 5 years. The most current update contains all cases from January 2016-June 2020. As a result, this dataset is largely comprehensive, and represents the totality of eviction filings and outcomes over that time period. How...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Mar 1, 2022
BenDor, Todd, 2022, "Replication Data for: Assessing the full costs of floodplain buyouts", https://doi.org/10.15139/S3/IARBJE, UNF:6:uu4+ekSe1PbCwzxxHijslg== [fileUNF]
Using a transaction cost framework, we analyze the costs of activities that comprise floodplain buyouts. Federal data do not distinguish transaction costs, but they do suggest that the cost of purchasing properties often accounts for 80% or less of total project costs. Through a systematic review (n = 1103 publications) and an analysis of governmen...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Feb 28, 2022
Lagodny, Julius; Jones, Rebekah; Koch, Julianna; Enns, Peter K., 2022, "Replication Data for: A Validation and Extension of State-Level Public Policy Mood: 1956 to 2020", https://doi.org/10.15139/S3/QW8QGA
Whether we consider policies or elections in the U.S., the states are particularly influential. To understand these political outcomes, we need valid over-time measures of state-level public opinion. In this article, we contribute to the growing research on measuring state public opinion in two ways. First, we respond to Berry, Fording, Hanson, and...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Feb 28, 2022
Payton, Alexis D; Perryman, Alexia N; Hoffman, Jessica R; Avula, Vennela; Wells, Heather; Robinette, Carole; Alexis, Neil E; Jaspers, Ilona; Rager, Julia E; Rebuli, Meghan E, 2022, "Dataset for Cytokine Signature Clusters as a Tool to Compare Changes associated with Tobacco Product Use in Upper and Lower Airway Samples", https://doi.org/10.15139/S3/LJH0G4, UNF:6:bGolfs0GmaG0RcwDLnT5Kg== [fileUNF]
Cytokine data were derived from nasal lavage fluid (NLF), nasal epithelial lining fluid (NELF), sputum, and circulating serum samples collected from 14 non-smokers, 13 cigarette smokers, and 17 e-cigarette users. Cytokine profiles were evaluated for correlation across compartments in paired samples. An unsupervised machine learning approach was uti...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Feb 23, 2022
MEASURE Evaluation; Makerere University; Kenya Medical Research Institute; Rwanda Military Hospital; National Institute for Medical Research, 2022, "The East Africa Cross-Border Integrated Health Study (2016-2017)", https://doi.org/10.15139/S3/ZK60QH, UNF:6:RM8NLsRaU/9/CoCe4sx9PQ== [fileUNF]
These data were collected for a cross-sectional study describing the health status and behaviors of mobile and vulnerable populations living in or traveling through 12 cross-border sites in the East African countries of Kenya, Rwanda, Tanzania, and Uganda. The Priorities for Local AIDS Control Efforts (PLACE) method was used to conduct interviews a...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Feb 21, 2022
Sykes, Cheyanne, 2022, "Study: Factors That Make Area 52 the Best Delta 8 Gummies For Anxiety", https://doi.org/10.15139/S3/0ZAOCP
There are many reasons to purchase Area 52 products. The first is that they use only pure, natural ingredients. They also offer premium quality, which means that their Delta-8 gummies are less expensive than the competition. The second reason is that their gummies are more effective than the competition's. This means that they are the best option f...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Feb 20, 2022
Hsu, Angel; Sachdeva, Sidd; French, Ian; Lim, Elwin, 2022, "Replication Data for: How are cities pledging net zero? A computational approach to analyzing subnational climate strategies", https://doi.org/10.15139/S3/6VB8BC, UNF:6:Oyc7WCNsKPU26Njmm1UYFw== [fileUNF]
Replication data for paper, "How are cities pledging net zero? A computational approach to analyzing subnational climate strategies."This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Feb 17, 2022
Muheki, Edridah, 2022, "Alternative Approaches to MDA Coverage Surveys in Uganda", https://doi.org/10.15139/S3/VEMBFM, UNF:6:8m/96seVBJKlXbNRBPBdaw== [fileUNF]
Coverage surveys are an important tool for programs to evaluate their reporting systems and to determine whether effective MDA coverage has been achieved. However, for various reasons coverage surveys are seldom implemented. Some key challenges are: perceived technical difficulty, lack of resources, and lack of standardized guidance on how to condu...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |