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Profiling of Expert Bouldering Routesetters
No full textData Profiling of Expert Bouldering Routesetter
Replication Data for: Did Private Election Administration Funding Advantage Democrats in 2020?
No full textThis archive contains the data and code necessary to replicate "Did Private Election Administration Funding Advantage Democrats in 2020?" The readme file described the process for replicating the analyses in the paper
List of Business PPP SBA Loan Receipents
No full textAn aggregated dataset of PPP (Paycheck Protection Program) SBA (Small Business Administration) loans involving 3 million businesses would be a comprehensive collection of financial information, aimed at analyzing the distribution and impact of these loans. This dataset would include key details such as the names of the businesses, loan amounts, loan disbursement dates, and the terms of the loans.
Additionally, the dataset would contain information on board members of these businesses, providing insights into the governance structures and potential networks influencing the flow of SBA funds. This aspect of the dataset can be crucial for understanding the distribution patterns of PPP loans, identifying trends in funding allocation among different types of businesses, and examining any correlations between board composition and loan receipt.
Such a dataset would be valuable for various analyses, including:
Financial Analysis: Assessing the financial health and stability of businesses that received PPP loans, and understanding how these loans have impacted their operations during challenging economic times.
Governance Analysis: Evaluating the role of board members in acquiring PPP loans, and whether certain types of governance structures were more successful in securing funds.
Economic Impact Assessment: Measuring the broader economic impact of the PPP loans, such as job retention, business survival rates, and sector-wise distribution of funds.
Network Analysis: Mapping the connections between different businesses and their board members to identify any potential networks or clusters that may have influenced the flow of funds.
Policy Evaluation: Providing data-driven insights to policymakers for assessing the effectiveness of the PPP program and for planning future economic relief measures
Replication Data for: The Socio-Economic Impact of the Covid-19 Pandemic on Syrian Refugees in Turkey
No full textOur purpose is to examine the socio-economic impact of the Covid-19 pandemic on Syrian refugees in Turkey by analyzing its implications on employment, livelihood opportunities, and social cohesion. In order to make pre- and post-pandemic comparisons, the demographic data and data to estimate variables such as income level, legal status, working confitions, social economic asssitance etc. were collected
Replication Data for: Linear model and extensions
No full textR code and data for the book "Linear model and extensions
Replication data for: Attrition and the Gender Patenting Gap
No full textReview of Economics and Statistics: Forthcoming
ICAO database updated all merged with boardEx with macro variables
No full textThis database includes information on 372 airlines operating during 1990 - 2016 with different corporate governance measures and macroeconomics variables
Daily census tract-level wildfire fine particulate matter concentrations for California, 2006-2020
No full textThis dataset contains aggregated measurements of daily wildfire-specific fine particulate matter (PM2.5) concentrations at the census tract level in California from 2006 to 2020. Similar data at the zip code level was first described in a study by Aguilera et al. (2023): "A novel ensemble-based statistical approach to estimate daily wildfire-specific PM2.5 in California (2006-2020)," published in Environment International. We used monitoring data and statistical techniques to estimate daily wildfire PM2.5 concentrations at each census tract population-weighted centroid across California. Input data included monitored PM2.5 concentrations and a wide range of predictors for PM2.5, such as aerosol optical depth, land cover, and meteorological conditions, to estimate daily concentrations of PM2.5. We also used the National Oceanic and Atmospheric Administration Hazard Mapping System and fire perimeter data from CalFIRE to isolate daily wildfire smoke PM2.5 from total PM2.5
02_8_page_book_3_panel_cut_template_from_1_sheet
No full text02_8_page_book_3_panel_cut_template_from_1_shee
Replication Data for: The effect of six-weeks advanced oral care on oral microbiome and mycobiome composition in people with dementia living in aged-care facilities
No full textMicrobiome data for study: The effect of six-weeks advanced oral care on oral microbiome and mycobiome composition in people with dementia living in aged-care facilities.
Description. The oral cavities of two sets of participants (elderly, mild dementia, average age 84, in aged care facilities) - control (n=10) and experimental (n=27) - were sampled (swabs of cheeks, gums and tongue). The control group practiced normal oral care. The experimental group had more active oral care implemented (increased tooth brushing and denture cleaning). The active oral care period was maintained for 6 weeks. Samples were taken before the oral care program was instigated and immediately following its cessation.
Metadata:
Gender of participants
Sampling point (pre-intervention, post-intervention)
Oral site sampled - cheeks, gums, tongue
Cohort - control, experimental
Treatment group - control, experimental x pre-intervention, post-intervention
Client ID
Origin of Data: 16S and 18S rRNA amplicon metabarcode sequence data deposited in NCBI Sequence Read Archive under bioprject PRJNA107328. Amplicon survey for bacterial 16S rRNA genes (V3-V4 region, 300 bp pair-end joined) and fungal 18S rRNA genes (V9 region, un-joined since the forward and reverse sequences fully overlap) performed via Illumina MiSeq (total reads 20.5 million and 1.3 million, respectively following data filtration and chimera removal).
Datafiles contain: 1) OTU table of raw read counts following trimming, joining, filtration and chimera removal. Includes relevant metadata for the study. 2) data converted to centered log ratios for downstream beta analysis (PCA, PERMANOVA, CAP etc.)