cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e120690
title: Replication Data for: Asymmetric Consumption Smoothing

description: Analyzing account-level data from an account aggregator, we find that households increase consumption when they receive (expected) tax refunds, as if they face liquidity constraints. However, these same households smooth consumption when making payments in other years, primarily by transferring funds among liquid accounts. Even households carrying credit card debt smooth consumption when making payments, and even highly-liquid households spend out of refunds. This behavior is inconsistent with pure liquidity constraints or hand-to-mouth behavior and most consistent with a mental accounting life-cycle model.
DOI: 10.3886/e120690v1
title: Replication Data for: Asymmetric Consumption Smoothing

description: Analyzing account-level data from an account aggregator, we find that households increase consumption when they receive (expected) tax refunds, as if they face liquidity constraints. However, these same households smooth consumption when making payments in other years, primarily by transferring funds among liquid accounts. Even households carrying credit card debt smooth consumption when making payments, and even highly-liquid households spend out of refunds. This behavior is inconsistent with pure liquidity constraints or hand-to-mouth behavior and most consistent with a mental accounting life-cycle model.
DOI: 10.3886/e119446v47
title: COVID-19 US State Policy Database

description: For questions or comments about the database please contact:<br>Rachel Scheckman <br>rscheckm@bu.edu <br>Database Manager 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/e119504
title: Data and Code for: Lack of Selection and Limits to Delegation: Firm Dynamics in Developing Countries

description: This project contains all the data and codes to replicate the analysis in "Lack of Selection and Limits to Delegation: Firm Dynamics in Developing Countries" by Ufuk Akcigit, Harun Alp and Michael Peters
DOI: 10.3886/e119504v2
title: Data and Code for: Lack of Selection and Limits to Delegation: Firm Dynamics in Developing Countries

description: This project contains all the data and codes to replicate the analysis in "Lack of Selection and Limits to Delegation: Firm Dynamics in Developing Countries" by Ufuk Akcigit, Harun Alp and Michael Peters
DOI: 10.3886/e120507
title: Data and Code for: Using Models to Persuade

description: We present a framework where “model persuaders” influence receivers’ beliefs by proposing models that organize past data to make predictions. Receivers are assumed to find models more compelling when they better explain the data, fixing receivers’ prior beliefs. Model persuaders face a tradeoff: better-fitting models induce less movement in receivers’ beliefs. Consequently, a receiver exposed to the true model can be most misled by persuasion when that model fits poorly, competition between persuaders tends to neutralize the data by pushing towards better-fitting models, and a persuader facing multiple receivers is more effective when he can send tailored, private messages.
DOI: 10.3886/e120507v1
title: Data and Code for: Using Models to Persuade

description: We present a framework where “model persuaders” influence receivers’ beliefs by proposing models that organize past data to make predictions. Receivers are assumed to find models more compelling when they better explain the data, fixing receivers’ prior beliefs. Model persuaders face a tradeoff: better-fitting models induce less movement in receivers’ beliefs. Consequently, a receiver exposed to the true model can be most misled by persuasion when that model fits poorly, competition between persuaders tends to neutralize the data by pushing towards better-fitting models, and a persuader facing multiple receivers is more effective when he can send tailored, private messages.
DOI: 10.3886/e120501
title: Data and Codes for: "Job Seekers' Perceptions and Employment Prospects: Heterogeneity, Duration Dependence and Bias"

description: This paper uses job seekers’ elicited beliefs about job finding to disentangle the sources of the decline in job-finding rates by duration of unemployment. We document that beliefs have strong predictive power for job finding, but are not revised downward when remaining unemployed and are subject to optimistic bias, especially for the long-term unemployed. Leveraging the predictive power of beliefs, we find substantial heterogeneity in job finding with the resulting dynamic selection explaining most of the observed negative duration dependence in job finding. Moreover, job seekers’ beliefs under-react to heterogeneity in job finding, distorting search behavior and increasing long-term unemployment.<br><br>
description: Krueger-Mueller Survey: Unemployment insurance recipients in New JerseySurvey of Consumer Expectations: Unemployed workers<br>.
DOI: 10.3886/e120501v1
title: Data and Codes for: "Job Seekers' Perceptions and Employment Prospects: Heterogeneity, Duration Dependence and Bias"

description: This paper uses job seekers’ elicited beliefs about job finding to disentangle the sources of the decline in job-finding rates by duration of unemployment. We document that beliefs have strong predictive power for job finding, but are not revised downward when remaining unemployed and are subject to optimistic bias, especially for the long-term unemployed. Leveraging the predictive power of beliefs, we find substantial heterogeneity in job finding with the resulting dynamic selection explaining most of the observed negative duration dependence in job finding. Moreover, job seekers’ beliefs under-react to heterogeneity in job finding, distorting search behavior and increasing long-term unemployment.<br><br>
description: Krueger-Mueller Survey: Unemployment insurance recipients in New JerseySurvey of Consumer Expectations: Unemployed workers<br>.
DOI: 10.3886/e119560v1
title: Data and Code For: Lumpy Investment, Business Cycles, and Stimulus Policy

description: Abstract: I study the aggregate implications of micro-level lumpy investment in a model consistent with the empirical dynamics of the real interest rate. The elasticity of aggregate investment with respect to shocks is procyclical because more firms are likely to make an extensive margin investment in expansions than in recessions. Matching the dynamics of the real interest rate is key to generating this result because it disciplines the interest-elasticity of investment and avoids counterfactual behavior of the model that would otherwise eliminate most of the procyclical responsiveness. Therefore, data on interest rates places important discipline in aggregating micro-level investment behavior.<br><br>
DOI: 10.3886/e129183
title: COVID19 Impacts and Vaccine Acceptance in sub-Saharan Africa

description: Results from a survey conducted by research firm GeoPoll in Côte D'Ivoire, the Democratic Republic of Congo, Kenya, Mozambique, Nigeria, and South Africa. The survey was conducted via SMS in November 2020, and contains data on the impact of COVID-19 on daily routines, finances, and consumer spending. Additional questions asked about vaccine safety and effectiveness and willingness to take a COVID-19 vaccine. Source: https://hubs.ly/H0CPynM0
description: other; self-enumerated questionnaire; Data was collected by GeoPoll using our own SMS survey platform and respondent database. Respondents were provided a small incentive in airtime credit upon completion.
description: Nationally representative sample per country by age, gender, location (ADM1) .
description: Simple random sample from GeoPoll's respondent database
DOI: 10.3886/e129183v1
title: COVID19 Impacts and Vaccine Acceptance in sub-Saharan Africa

description: Results from a survey conducted by research firm GeoPoll in Côte D'Ivoire, the Democratic Republic of Congo, Kenya, Mozambique, Nigeria, and South Africa. The survey was conducted via SMS in November 2020, and contains data on the impact of COVID-19 on daily routines, finances, and consumer spending. Additional questions asked about vaccine safety and effectiveness and willingness to take a COVID-19 vaccine. Source: https://hubs.ly/H0CPynM0
description: other; self-enumerated questionnaire; Data was collected by GeoPoll using our own SMS survey platform and respondent database. Respondents were provided a small incentive in airtime credit upon completion.
description: Nationally representative sample per country by age, gender, location (ADM1) .
description: Simple random sample from GeoPoll's respondent database
DOI: 10.3886/e121741v1-72480
title: National Neighborhood Data Archive (NaNDA): Eating and Drinking Places by ZIP Code Tabulation Area, United States, 2003-2017

description: This dataset contains measures of the number and density of eating and drinking places – including fast food restaurants, coffee shops, and bars – per ZIP code tabulation area (ZCTA) in the United States from 2003 through 2017.
description: A ZIP code to ZCTA crosswalk must be used to combine this dataset with ZIP code geocoded data. Such a crosswalk is available on the UDS Mapper website at https://www.udsmapper.org/zcta-crosswalk.cfm. Sample code for merging the UDS Mapper crosswalk with NaNDA datasets is available on the NaNDA repository at https://www.openicpsr.org/openicpsr/project/120088/.
description: Eating and drinking places in all ZIP code tabulation areas in the United States, including Puerto Rico and the US Virgin Islands. Smallest Geographic Unit: ZIP code tabulation area
DOI: 10.21258/1654874
title: Inventario forestale nazionale svizzero - Tabella n. 899297
DOI: 10.21258/1658388
title: Inventario forestale nazionale svizzero - Tabella n. 896969
DOI: 10.21258/1629415
title: Inventario forestale nazionale svizzero - Tabella n. 898859
DOI: 10.4225/08/578884aa56fa2
title: Mean monthly incoming atmospheric longwave radiation modelled using the 1" DEM-S - 3" mosaic

description: Mean monthly solar radiation was modelled across Australia using topography from the 1 arcsecond resolution SRTM-derived DEM-S and climatic and land surface data. The SRAD model (Wilson and Gallant, 2000) was used to derive: • Incoming short-wave radiation on a sloping surface • Short-wave radiation ratio (shortwave on sloping surface / shortwave on horizontal surface) • Incoming long-wave radiation • Outgoing long-wave radiation • Net long-wave radiation • Net radiation • Sky view factor All radiation values are in MJ/m2/day except for short-wave radiation ratio which has no units. The sky view factor is the fraction of the sky visible from a grid cell relative to a horizontal plane. The radiation values are determined for the middle day of each month (14th or 15th) using long-term average atmospheric conditions (such as cloudiness and atmospheric transmittance) and surface conditions (albedo and vegetation cover). They include the effect of terrain slope, aspect and shadowing (for sun positions at 5 minute intervals from sunrise to sunset), direct and diffuse radiation and sky view. The monthly data in this collection are available at 3 arcsecond resolution as single (mosaicked) grids for Australia in TIFF format. The 3 arcsecond resolution versions of these radiation surfaces have been produced from the 1 arcsecond resolution surfaces, by aggregating the cells in a 3x3 window and taking the mean value. The 1 arcsecond tiled data can be found here: https://data.csiro.au/dap/landingpage?pid=csiro:9632 . The 1 arcsecond mosaic data can be found here: https://data.csiro.au/dap/landingpage?pid=csiro:18491
DOI: 10.21258/1667293
title: Inventario forestale nazionale svizzero - Tabella n. 897989
DOI: 10.21258/1658321
title: Inventario forestale nazionale svizzero - Tabella n. 891953
DOI: 10.21258/1670998
title: Inventario forestale nazionale svizzero - Tabella n. 891871
DOI: 10.18112/openneuro.ds003438.v1.0.0
title: newbi4fmri2020 Variant1 Suboptimal Block Designs
DOI: 10.21258/1642135
title: Inventario forestale nazionale svizzero - Tabella n. 897387
DOI: 10.21258/1638011
title: Inventario forestale nazionale svizzero - Tabella n. 891951
DOI: 10.21258/1629237
title: Inventario forestale nazionale svizzero - Tabella n. 893060
DOI: 10.5281/zenodo.3961240
title: Cygnus X-1: Emerging view of a 21-solar mass black hole in the Milky Way

description: This repository contains computational material developed/utilized in Miller-Jones et al. 2020 to estimate the mass of the black hole in the X-ray binary Cygnus X-1.
DOI: 10.18112/openneuro.ds003439.v1.0.0
title: newbi4fmri2020 Variant2 Suboptimal Slow Event Related
DOI: 10.21258/1658017
title: Inventario forestale nazionale svizzero - Tabella n. 897588
DOI: 10.21258/1672970
title: Inventario forestale nazionale svizzero - Tabella n. 897276
DOI: 10.18112/openneuro.ds003440.v1.0.0
title: newbi4fmri2020 Variant3 Caffeine
DOI: 10.21258/1667940
title: Inventario forestale nazionale svizzero - Tabella n. 893430
DOI: 10.21258/1671753
title: Inventario forestale nazionale svizzero - Tabella n. 899304
DOI: 10.21258/1644923
title: Inventario forestale nazionale svizzero - Tabella n. 898574
DOI: 10.18112/openneuro.ds003441.v1.0.0
title: newbi4fmri2020 Variant4 Motion
DOI: 10.21258/1645346
title: Inventario forestale nazionale svizzero - Tabella n. 891661
DOI: 10.21258/1631103
title: Inventario forestale nazionale svizzero - Tabella n. 897205
DOI: 10.21258/1646169
title: Inventario forestale nazionale svizzero - Tabella n. 899518
DOI: 10.18112/openneuro.ds003442.v1.0.0
title: newbi4fmri2020 Variant5 Suboptimal Event Related
DOI: 10.21258/1660390
title: Inventario forestale nazionale svizzero - Tabella n. 897668
DOI: 10.21258/1671536
title: Inventario forestale nazionale svizzero - Tabella n. 891750
DOI: 10.4225/08/578d8d40ac0a2
title: Mean monthly net longwave radiation modelled using the 1" DEM-S - 3" mosaic

description: Mean monthly solar radiation was modelled across Australia using topography from the 1 arcsecond resolution SRTM-derived DEM-S and climatic and land surface data. The SRAD model (Wilson and Gallant, 2000) was used to derive: • Incoming short-wave radiation on a sloping surface • Short-wave radiation ratio (shortwave on sloping surface / shortwave on horizontal surface) • Incoming long-wave radiation • Outgoing long-wave radiation • Net long-wave radiation • Net radiation • Sky view factor All radiation values are in MJ/m2/day except for short-wave radiation ratio which has no units. The sky view factor is the fraction of the sky visible from a grid cell relative to a horizontal plane. The radiation values are determined for the middle day of each month (14th or 15th) using long-term average atmospheric conditions (such as cloudiness and atmospheric transmittance) and surface conditions (albedo and vegetation cover). They include the effect of terrain slope, aspect and shadowing (for sun positions at 5 minute intervals from sunrise to sunset), direct and diffuse radiation and sky view. The monthly data in this collection are available at 3 arcsecond resolution as single (mosaicked) grids for Australia in TIFF format. The 3 arcsecond resolution versions of these radiation surfaces have been produced from the 1 arcsecond resolution surfaces by aggregating the cells in a 3x3 window and taking the mean value. The 1 arcsecond tiled data can be found here: https://data.csiro.au/dap/landingpage?pid=csiro:9633 . The 1 arcsecond mosaic data can be found here: https://data.csiro.au/dap/landingpage?pid=csiro:18611
DOI: 10.18112/openneuro.ds003443.v1.0.0
title: newbi4fmri2020 Variant6 Adaptation
DOI: 10.18112/openneuro.ds003444.v1.0.0
title: newbi4fmri2020 Variant7 Prosopagnosia
DOI: 10.21258/1662675
title: Inventario forestale nazionale svizzero - Tabella n. 897761
DOI: 10.21258/1667475
title: Inventario forestale nazionale svizzero - Tabella n. 897889
DOI: 10.18112/openneuro.ds003445.v1.0.0
title: newbi4fmri2020 Variant8 Resting State
DOI: 10.21258/1629905
title: Inventario forestale nazionale svizzero - Tabella n. 898356
DOI: 10.21258/1631382
title: Inventario forestale nazionale svizzero - Tabella n. 898873
DOI: 10.21258/1652189
title: Inventario forestale nazionale svizzero - Tabella n. 898741
DOI: 10.21258/1665728
title: Inventario forestale nazionale svizzero - Tabella n. 898539
DOI: 10.21258/1632122
title: Inventario forestale nazionale svizzero - Tabella n. 897826
DOI: 10.21258/1668200
title: Inventario forestale nazionale svizzero - Tabella n. 891793
DOI: 10.21258/1650048
title: Inventario forestale nazionale svizzero - Tabella n. 899504
DOI: 10.21258/1667110
title: Inventario forestale nazionale svizzero - Tabella n. 891908
DOI: 10.18112/openneuro.ds003446.v1.0.0
title: newbi4fmri2020 Variant9 7T
DOI: 10.21258/1651469
title: Inventario forestale nazionale svizzero - Tabella n. 897934
DOI: 10.21258/1648321
title: Inventario forestale nazionale svizzero - Tabella n. 898783
DOI: 10.21258/1644286
title: Inventario forestale nazionale svizzero - Tabella n. 899052
DOI: 10.21258/1650477
title: Inventario forestale nazionale svizzero - Tabella n. 902119
DOI: 10.6073/pasta/ea461d53605e937582176e4d7ec0de4a
title: Long-term monitoring of streamwater chemistry in Sycamore Creek, Arizona, USA (2010-2014)

description: The primary objective of this project is to understand how long-term climate variability and change influence the structure and function of desert streams via effects on hydrologic disturbance regimes. Climate and hydrology are intimately linked in arid landscapes; for this reason, desert streams are particularly well suited for both observing and understanding the consequences of climate variability and directional change. Researchers try to (1) determine how climate variability and change over multiple years influence stream biogeomorphic structure (i.e., prevalence and persistence of wetland and gravel-bed ecosystem states) via their influence on factors that control vegetation biomass, and (2) compare interannual variability in within-year successional patterns in ecosystem processes and community structure of primary producers and consumers of two contrasting reach types (wetland and gravel-bed stream reaches). This specific dataset was collected to monitor long-term changes in dissolved nutrient concentrations (N, P, C) by sampling surface water within gravel and wetland dominated reaches during baseflow.
DOI: 10.21258/1637723
title: Inventario forestale nazionale svizzero - Tabella n. 893047
DOI: 10.21258/1658175
title: Inventario forestale nazionale svizzero - Tabella n. 898075
DOI: 10.21258/1651695
title: Inventario forestale nazionale svizzero - Tabella n. 898056
DOI: 10.21258/1663447
title: Inventario forestale nazionale svizzero - Tabella n. 899565
DOI: 10.21258/1657838
title: Inventario forestale nazionale svizzero - Tabella n. 899094
DOI: 10.21258/1658669
title: Inventario forestale nazionale svizzero - Tabella n. 898083
DOI: 10.21258/1663145
title: Inventario forestale nazionale svizzero - Tabella n. 891965
DOI: 10.21258/1628884
title: Inventario forestale nazionale svizzero - Tabella n. 899248
DOI: 10.21258/1668772
title: Inventario forestale nazionale svizzero - Tabella n. 902191
DOI: 10.21258/1658844
title: Inventario forestale nazionale svizzero - Tabella n. 902085
DOI: 10.21258/1670707
title: Inventario forestale nazionale svizzero - Tabella n. 897033
DOI: 10.21258/1627314
title: Inventario forestale nazionale svizzero - Tabella n. 897118
DOI: 10.21258/1646531
title: Inventario forestale nazionale svizzero - Tabella n. 902246
DOI: 10.21258/1640426
title: Inventario forestale nazionale svizzero - Tabella n. 899274
DOI: 10.21258/1659285
title: Inventario forestale nazionale svizzero - Tabella n. 891946
DOI: 10.21258/1661136
title: Inventario forestale nazionale svizzero - Tabella n. 899163
DOI: 10.21258/1629914
title: Inventario forestale nazionale svizzero - Tabella n. 902064
DOI: 10.21258/1634673
title: Inventario forestale nazionale svizzero - Tabella n. 898711
DOI: 10.21258/1662812
title: Inventario forestale nazionale svizzero - Tabella n. 891796
DOI: 10.21258/1663620
title: Inventario forestale nazionale svizzero - Tabella n. 897308
DOI: 10.21258/1642360
title: Inventario forestale nazionale svizzero - Tabella n. 897990
DOI: 10.21258/1665366
title: Inventario forestale nazionale svizzero - Tabella n. 899436
DOI: 10.21258/1647981
title: Inventario forestale nazionale svizzero - Tabella n. 892023
DOI: 10.21258/1662401
title: Inventario forestale nazionale svizzero - Tabella n. 898202
DOI: 10.21258/1652718
title: Inventario forestale nazionale svizzero - Tabella n. 902139
DOI: 10.21258/1646755
title: Inventario forestale nazionale svizzero - Tabella n. 899083
DOI: 10.21258/1651737
title: Inventario forestale nazionale svizzero - Tabella n. 899467
DOI: 10.21258/1657935
title: Inventario forestale nazionale svizzero - Tabella n. 892003
DOI: 10.21258/1629764
title: Inventario forestale nazionale svizzero - Tabella n. 899138
DOI: 10.21258/1657958
title: Inventario forestale nazionale svizzero - Tabella n. 899323
DOI: 10.21258/1653359
title: Inventario forestale nazionale svizzero - Tabella n. 891727
DOI: 10.21258/1639883
title: Inventario forestale nazionale svizzero - Tabella n. 898022
DOI: 10.21258/1661952
title: Inventario forestale nazionale svizzero - Tabella n. 897453
DOI: 10.21258/1638561
title: Inventario forestale nazionale svizzero - Tabella n. 897093
DOI: 10.21258/1654386
title: Inventario forestale nazionale svizzero - Tabella n. 899614
DOI: 10.5281/zenodo.4345058
title: Supporting Data Sets for "New Constraints on the Lunar Optical Space Weathering Rate"

description: Data Sets supporting "New Constraints on the Lunar Optical Space Weathering Rate" submitted to Geophysical Research Letter on 12/18/2020. See Supporting Information (link TBD).
description: {"references": ["Williams et al. (2018)", "Grier et al. (2001)", "Losiak et al. (2009)", "Salih et al. (2016)", "Morota et al. (2009)", "Mazrouei et al. (2019)", "Hiesinger et al. (2012)", "van der Bogert et al. (2010)", "Ashley et al. (2012)"]}
DOI: 10.21258/1672817
title: Inventario forestale nazionale svizzero - Tabella n. 899576
DOI: 10.5281/zenodo.4345057
title: Supporting Data Sets for "New Constraints on the Lunar Optical Space Weathering Rate"

description: Data Sets supporting "New Constraints on the Lunar Optical Space Weathering Rate" submitted to Geophysical Research Letter on 12/18/2020. See Supporting Information (link TBD).
description: {"references": ["Williams et al. (2018)", "Grier et al. (2001)", "Losiak et al. (2009)", "Salih et al. (2016)", "Morota et al. (2009)", "Mazrouei et al. (2019)", "Hiesinger et al. (2012)", "van der Bogert et al. (2010)", "Ashley et al. (2012)"]}
DOI: 10.21258/1663811
title: Inventario forestale nazionale svizzero - Tabella n. 899526