cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e119446v50
title: COVID-19 US State Policy Database

description: For questions or comments about the database please contact:<br>Alexandra Skinner <br>skinnera@bu.edu <br>Research Fellow & Database Manager<br>Department of Health Law, Policy & Management <br>Boston University School of Public Health<br><br>Database of state policies on closures, shelter-in-place orders, housing protections, changes to Medicaid and SNAP, physical distancing closures, reopening, and more created by researchers at the Boston University School of Public Health. Policies included are state-wide directives or mandates, not guidance or recommendations. In order for a policy to be included, it must apply to the entire state. We are working quickly to go through state government websites to make the policy database as complete and accurate as possible in a rapidly changing policy context. If you use data on a given policy, we encourage you to triangulate based on additional sources of policy data and to review the source documentation to consider the coding decisions that are right for your work. Of course, please email us if you note a discrepancy so we can improve the database for everyone. State policy source documentation can be found at: tinyurl.com/statepolicysources.
description: other; Contributors: Megan Cole Brahim, Noa Krawczyk, Carolyn Hoffman, Claire Corkish, Elizabeth Ferrara, Elizabeth Long, Emily Baroni, Faith Contador, Hannah Simon, Morgan Simko, Rachel Scheckman, Sarah Brewer, Sue Kulkarni, Felicia Heykoop, Manish Patel, Aishwarya Vidyasagaran, Andrew Chiao, Cara Safon, Samantha Burkhart, Harry Jung, Victor Lee, Marina MacKinnon, Aarohi Rede, Marie Vearling, Sophie Li, Christina Wang, Tim Levengood, María Jordán P. Emma Chistolini
description: State policies. Smallest Geographic Unit: State
DOI: 10.3886/e120506v1-73560
title: Data and Code for: "Going Negative at the Zero Lower Bound: The Effects of Negative Nominal Interest Rates"

description: After the Great Recession several central banks started setting negative nominal interest rates in an expansionary attempt, but the effectiveness of this measure remains unclear. Negative rates can stimulate the economy by lowering the rates that commercial banks charge on loans, but they can also erode bank profitability by squeezing deposit spreads. This paper studies the effects of negative rates in a new DSGE model where banks intermediate the transmission of monetary policy. I use bank-level data to calibrate the model and find that monetary policy in negative territory is between 60% and 90% as effective as in positive territory.
description: The paper uses data of three types of banks: 1) Bank Holding Companies, 2) Retail & Consumer Banks, 3) Universal Commercial Banks, as collected by Fitch Solutions, in 19 countries: 1) Australia, 2) Canada, 3) Norway, 4) United States, 5) United Kingdom, 6) Switzerland, 7) Denmark, 8) Japan, 9) Sweden, 10) Austria, 11) Belgium, 12) Finland, 13) France. 14) Germany, 15) Italy, 16) Luxembourg, 17) Netherlands, 18) Portugal, 19) Spain, annually between 1990 and 2018.
DOI: 10.3886/e101880
title: Annual Survey of State Government Finances 1992-2018

description: Version 4 release notes:Changes release notes description, does not change data.Version 3 release notesAdds 2018 data.Renames some columns so all column names are &lt;= 32 characters to fix Stata limit.<br>Version 2 release notesAdds 2017 data. R and Stata files now available.<br><br>The .csv file includes data from the years 1992-2016. No data was changed. Only column names were changed to standardize it across years. Some columns (e.g. Population) that are not in all years are removed. Amounts are in thousands of dollars. <br>The zip file includes all raw (completely untouched) files for years 1992-2016. <br><br>From the Census, "The Annual Survey of State Government Finances provides a comprehensive summary of the annual survey findings for state governments, as well as data for individual states. The tables contain detail of revenue by source, expenditure by object and function, indebtedness by term, and assets by purpose." (link to this quote is below)<br><br>Information from the U.S. Census about the data is here. https://www.census.gov/programs-surveys/state/about.html<br>
description: Response Rates: All states have data for all years. In a few years, some values (e.g. expenditure liquor stores) are missing. Overall, almost compete data.<br>
description: State and national government<br>. Smallest Geographic Unit: State and national
DOI: 10.3886/e102000
title: United States Governors 1775-2020

description: Version 3 release notes:Changes release notes description, does not change data.Version 2 Release Notes:Adds 2019 and 2020 (current) governor data.Adds data as R and Stata formats.<br><br>This data contains the governor of every state or territory from 1775 to 2020. The governor's political party is included. Some governors were in multiple political parties during their lives so this variable may have multiple values for a single governor. <br>Parties prior to 1950 are completely unchanged. <br><br>For parties in years 1950-2018 I standardized spelling of some parties (e.g. "Democratic" to "Democrat") and if a governor was reported to be in multiple parties, set the party for a given year to the party that governor was in during that year. <br><br>All data comes from the National Governors Association website. https://www.nga.org/cms/home<br><br>
DOI: 10.3886/e105583
title: Apparent Per Capita Alcohol Consumption: National, State, and Regional Trends 1977-2018

description: Version 5 release notes:Changes release notes description, does not change data.Version 4 release notes: <br>Adds 2018 data.Please note that this file has some revisions on the pre-2018 data because the report changed those values, not due to any changes in my code. <br>Version 3 release notes: <br>Adds 2017 data.<br>Version 2 release notes: <br>Makes columns showing the number of beers, glasses of wine, shots of liquor, and total drinks consumed based on the amount of ethanol consumed for each category that was already included.<br><br>This data set contains the per capita (persons aged 14+) consumption of ethanol (in gallons) for each state, Washington D.C., and totals for census regions and the United States as a whole, for the years 1977-2018. This includes total ethanol consumed as well as consumption by three categories: beer, wine, and shots of liquor ("spirits"). The PDF includes a method to convert the ethanol variables into total drinks of each type. I used this method to create columns for how many beers, glasses of wine, shots of liquor, and total drinks were consumed.<br><br>The PDF doesn't say how many ounces of fluid is in each drink type (except for the number_of_drinks_total variable) so I used the information provided by the National Institute on Alcohol Abuse and Alcoholism here - https://www.niaaa.nih.gov/alcohol-health/overview-alcohol-consumption/what-standard-drink. Please note that the number_of_drinks_total variable is based on the conversion formula provided, not by adding the individual drink categories together and therefore will be slightly different than that way of measuring it. <br><br>This data comes from a report by Dr. Megan E. Slater and Dr. Hillel R. Alpert at the National Institute on Alcohol Abuse and Alcoholism (downloaded here https://pubs.niaaa.nih.gov/publications/surveillance115/CONS18.htm). That report is one of the files available to download and is included as it explains the methodology the two authors used for the data. I am not affiliated with the original report at all. If you do use this data please also cite the original report.<br><br>When using this data consider that it is rate per capita (persons aged 14+) based on the population in that state so states that experience lots of visitors (e.g. Nevada and Washington D.C.) may have incorrect numbers. <br><br>
description: Persons aged 14 and over living in the United States<br>. Smallest Geographic Unit: State, Region, Country
DOI: 10.17632/nrb7nfddk6.1
title: Data for: Tree species richness and diversity predicts the magnitude of urban heat island mitigation effects of greenspaces

description: The appendix reported the location, size and plots of 15 investigated greenspaces, also including the investigation result of tree biodiversity and the amount of each trees species in the greenspaces.
DOI: 10.3886/e108164
title: Jacob Kaplan's Concatenated Files: Uniform Crime Reporting (UCR) Program Data: County-Level Detailed Arrest and Offense Data

description: Version 5 release notes:Changes release notes description, does not change data.Version 4 release notes: I am retiring this dataset - please do not use it. The reason that I made this dataset is that I had seen a lot of recent articles using the NACJD version of the data and had several requests that I make a concatenated version myself. This data is heavily flawed as noted in the excellent Maltz & Targonski's (2002) paper (see PDF available to download here and important paragraph from that article below) and I was worried that people were using the data without considering these flaws. So the data available here had the warning below this section (originally at the top of these notes so it was the most prominent thing) and had the Maltz & Targonski PDF included in the zip file so people were aware of it. There are two reasons that I am retiring it. <br>First, I see papers and other non-peer reviewed reports still published using this data without addressing the main flaws noted by Maltz and Targonski. I don't want to have my work contribute to research that I think is fundamentally flawed. <br>Second, this data is actually more flawed that I originally understood. The imputation process to replace missing data is based off of a bad design, and Maltz and Targonski talk about this in detail so I won't discuss it too much. The additional problem is that the variable that determines whether an agency has missing data is fatally flawed. That variable is the "number_of_months_reported" variable which is actually just the last month reported. So if you only report in December it'll have 12 months reported instead of 1. So even a good imputation process will be based on such a flawed measure of missingness that it will be wrong. How big of an issue is this? At the moment I haven't looked into it in enough detail to be sure but it's enough of a problem that I no longer want to release this kind of data (within the UCR data there are variables that you can use to try to determine the actual number of months reported but that stopped being useful due to a change in the data in 2018 by the FBI. And even that measure is not always accurate for years before 2018.).
description: Smallest Geographic Unit: County
DOI: 10.3886/e108602
title: California Department of Corrections Data

description: Version 2 release notes:Changes release notes description, does not change data.This data is from the California Prisoners and Parolees reports 1993-2010 which include summary statistics about inmates in the California prison system. While these reports include various data, the only data available here is the number of people admitted to prison from each county for each year. This number is subdivided by those with a new felony and parole violators with a new term. <br><br>I added Census county and state FIPS codes for easier merging with other data.<br>The following variables are available in this data.CountyYearState-County FIPSState FIPSCounty FIPSTotal number of people admitted to prisonTotal admission percent (% that county contributed to total admissions)Total admissions rate per 100k people in that countyNumber of felons with new admissionsFelons with new admissions percent (% that county contributed to total admissions)Number of parole violators returned with a new termParole violators returned with a new term percent (% that county contributed to total admissions)
description: Smallest Geographic Unit: County in California
DOI: 10.17632/rzshwvb6s5.1
title: Data for: Why is inequality higher among the old? Evidence from China

description: We use panel data from the China Health and Nutrition Survey (CHNS) for the period 1991-2015. The CHNS is a collaborative project between the Carolina Population Center at the University of North Carolina at Chapel Hill and the National Institute for Nutrition and Health at the Chinese Center for Disease Control and Prevention. CHNS data are available from ten waves (1989, 1991, 1993, 1997, 2000, 2004, 2006, 2009, 2011, and 2015), in which surveyed households were revisited and new households were added to replace households no longer participating in the study. We exclude the first survey year 1989 from our sample because the questions asked in the 1989 survey are different from those in other waves, and it is therefore difficult to compare the 1989 data with other waves (see also, Zhong 2011; Baeten, Ourti, and Doorslaer 2013; Cao and Birchenall 2013). The CHNS uses a multistage, random cluster-sampling scheme to select the households from each sampled province. Counties in each province were selected using a weighted method. Villages and townships in each county and urban and suburban neighborhoods in each city were randomly selected. The survey collects detailed information on income, assets, and demographics for each household.
DOI: 10.3886/e117974
title: Jacob Kaplan's Concatenated Files: Uniform Crime Reporting (UCR) Program Data: Human Trafficking 2013-2019

description: Version 3 release notes:Changes release notes description, does not change data.Version 2 release notes:Adds 2019 data.This Human Trafficking data set is an FBI data set that is part of the annual Uniform Crime Reporting (UCR) Program data. This data contains information about human trafficking offenses reported in the United States. There are two crimes that are included in this data set: commercial sex acts and involuntary servitude. The information is the number of these crimes that are reported, to have actually occurred (based upon an investigation into the report), to not have occurred ("unfounded"), cleared by arrest of at least one person, and cleared by arrest where all offenders are under the age of 18.<br> The data sets here combine data from the years 2013-2018 (the only years available) into a single file for annual data and a single file for monthly data (data does not get more precise than monthly counts). I also added state, county, and place FIPS code from the LEAIC (crosswalk). <br><br>The raw (in fixed-width ASCII format) was downloaded on the FBI's website here: https://crime-data-explorer.fr.cloud.gov/downloads-and-docs<br><br>The following definitions are from the FBI's UCR manual which is included in each zip file available to download. Please see pages 55-58 of that manual for more information, including examples of each offense.<br>Human Trafficking - Commercial Sex Acts: Inducing a person by force, fraud, or coercion to participate in commercial sex acts, or in which the person induced to perform such act(s) has not attained 18 years of age.<br>Human Trafficking - Involuntary Servitude: The obtaining of a person(s) through recruitment, harboring, transportation, or provision, and subjecting such persons by force, fraud, or coercion into involuntary servitude, peonage, debt bondage, or slavery (not to include commercial sex acts).
description: Smallest Geographic Unit: Police agency
DOI: 10.21227/xxh4-k718
title: Scala tympani phantom 3D model with heat source

description: Magnetic guidance of cochlear implants is a promising technique to reduce the risk of physical trauma during surgery. In this approach, a magnet attached to the tip of the implant electrode array is guided within the scala tympani using a magnetic field. After surgery, the magnet must be detached from the implant electrode array via localized heating and removed from the scala tympani which may cause thermal trauma.Objectives: The objective of this work is to experimentally validate a three-dimensional (3D) heat transfer model of the scala tympani which will enable accurate predictions of the maximum safe input power to avoid localized hyperthermia when detaching the magnet from the implant electrode array.Methods: Experiments are designed using a rigorous scale analysis and performed by measuring transient temperatures in a 3D-printed scala tympani phantom subjected to a sudden change in its isothermal environment and localized heating via a small heat source.Results: The measured and predicted temperatures are in good agreement with an error less than 6% (p=0.84). For the most conservative case where all boundaries of the model except the insertion opening are adiabatic, the power required to release the magnet attached to the implant electrode array by 1 mm³ of paraffin is approximately half of the predicted maximum safe input power.Conclusions: A 3D heat transfer model of the scala tympani is successfully validated and enables predicting the maximum safe input power required to detach the magnet from the implant electrode array.Significance: This work will enable the design of a thermally safe magnetic cochlear implant surgery procedure.
DOI: 10.21227/fvfh-h006
title: Scala tympani phantom 3D model with heat source

description: Magnetic guidance of cochlear implants is a promising technique to reduce the risk of physical trauma during surgery. In this approach, a magnet attached to the tip of the implant electrode array is guided within the scala tympani using a magnetic field. After surgery, the magnet must be detached from the implant electrode array via localized heating and removed from the scala tympani which may cause thermal trauma.Objectives: The objective of this work is to experimentally validate a three-dimensional (3D) heat transfer model of the scala tympani which will enable accurate predictions of the maximum safe input power to avoid localized hyperthermia when detaching the magnet from the implant electrode array.Methods: Experiments are designed using a rigorous scale analysis and performed by measuring transient temperatures in a 3D-printed scala tympani phantom subjected to a sudden change in its isothermal environment and localized heating via a small heat source.Results: The measured and predicted temperatures are in good agreement with an error less than 6% (p=0.84). For the most conservative case where all boundaries of the model except the insertion opening are adiabatic, the power required to release the magnet attached to the implant electrode array by 1 mm³ of paraffin is approximately half of the predicted maximum safe input power.Conclusions: A 3D heat transfer model of the scala tympani is successfully validated and enables predicting the maximum safe input power required to detach the magnet from the implant electrode array.Significance: This work will enable the design of a thermally safe magnetic cochlear implant surgery procedure.
DOI: 10.21227/wfcp-hf59
title: Scala tympani phantom 3D model with heat source

description: Magnetic guidance of cochlear implants is a promising technique to reduce the risk of physical trauma during surgery. In this approach, a magnet attached to the tip of the implant electrode array is guided within the scala tympani using a magnetic field. After surgery, the magnet must be detached from the implant electrode array via localized heating and removed from the scala tympani which may cause thermal trauma.Objectives: The objective of this work is to experimentally validate a three-dimensional (3D) heat transfer model of the scala tympani which will enable accurate predictions of the maximum safe input power to avoid localized hyperthermia when detaching the magnet from the implant electrode array.Methods: Experiments are designed using a rigorous scale analysis and performed by measuring transient temperatures in a 3D-printed scala tympani phantom subjected to a sudden change in its isothermal environment and localized heating via a small heat source.Results: The measured and predicted temperatures are in good agreement with an error less than 6% (p=0.84). For the most conservative case where all boundaries of the model except the insertion opening are adiabatic, the power required to release the magnet attached to the implant electrode array by 1 mm³ of paraffin is approximately half of the predicted maximum safe input power.Conclusions: A 3D heat transfer model of the scala tympani is successfully validated and enables predicting the maximum safe input power required to detach the magnet from the implant electrode array.Significance: This work will enable the design of a thermally safe magnetic cochlear implant surgery procedure.
DOI: 10.21227/pjsx-1827
title: Scala tympani phantom 3D model with heat source

description: Magnetic guidance of cochlear implants is a promising technique to reduce the risk of physical trauma during surgery. In this approach, a magnet attached to the tip of the implant electrode array is guided within the scala tympani using a magnetic field. After surgery, the magnet must be detached from the implant electrode array via localized heating and removed from the scala tympani which may cause thermal trauma.Objectives: The objective of this work is to experimentally validate a three-dimensional (3D) heat transfer model of the scala tympani which will enable accurate predictions of the maximum safe input power to avoid localized hyperthermia when detaching the magnet from the implant electrode array.Methods: Experiments are designed using a rigorous scale analysis and performed by measuring transient temperatures in a 3D-printed scala tympani phantom subjected to a sudden change in its isothermal environment and localized heating via a small heat source.Results: The measured and predicted temperatures are in good agreement with an error less than 6% (p=0.84). For the most conservative case where all boundaries of the model except the insertion opening are adiabatic, the power required to release the magnet attached to the implant electrode array by 1 mm³ of paraffin is approximately half of the predicted maximum safe input power.Conclusions: A 3D heat transfer model of the scala tympani is successfully validated and enables predicting the maximum safe input power required to detach the magnet from the implant electrode array.Significance: This work will enable the design of a thermally safe magnetic cochlear implant surgery procedure.
DOI: 10.5517/ccdc.csd.cc22jr3h
title: CCDC 1922716: Experimental Crystal Structure Determination

description: Related Article: Pritam Ghosh, Natalia Fridman, Galia Maayan|2020|Chem.-Eur.J.|27|634|doi:10.1002/chem.202003612
DOI: 10.5517/ccdc.csd.cc22jr4j
title: CCDC 1922717: Experimental Crystal Structure Determination

description: Related Article: Pritam Ghosh, Natalia Fridman, Galia Maayan|2020|Chem.-Eur.J.|27|634|doi:10.1002/chem.202003612
DOI: 10.5517/ccdc.csd.cc22jr6l
title: CCDC 1922719: Experimental Crystal Structure Determination

description: Related Article: Pritam Ghosh, Natalia Fridman, Galia Maayan|2020|Chem.-Eur.J.|27|634|doi:10.1002/chem.202003612
DOI: 10.5517/ccdc.csd.cc25dcvt
title: CCDC 2007896: Experimental Crystal Structure Determination

description: Related Article: Azusa Kondoh, Masahiro Terada|2020|Chem.-Eur.J.|27|585|doi:10.1002/chem.202002943
DOI: 10.5517/ccdc.csd.cc25xkxl
title: CCDC 2023460: Experimental Crystal Structure Determination

description: Related Article:  Ben. J. Tickner, Fadi Ahwal, Adrian C. Whitwood, Simon B. Duckett|2020|ChemPhysChem|22|13|doi:10.1002/cphc.202000825
DOI: 10.5517/ccdc.csd.cc25xkym
title: CCDC 2023461: Experimental Crystal Structure Determination

description: Related Article:  Ben. J. Tickner, Fadi Ahwal, Adrian C. Whitwood, Simon B. Duckett|2020|ChemPhysChem|22|13|doi:10.1002/cphc.202000825
DOI: 10.5517/ccdc.csd.cc25xng7
title: CCDC 2023539: Experimental Crystal Structure Determination

description: Related Article: Boris Sheludko, Cristina F. Castro, Chaitanya A. Khalap, Thomas J. Emge, Alan S. Goldman, Fuat E. Celik|2020|ChemCatChem|13|407|doi:10.1002/cctc.202001399