cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e120073
title: Data and code for: Retail Prices in a City

description: This study examines grocery price differentials across neighborhoods in a large metropolitan area (the city of Jerusalem, Israel). Important variation in access to affordable grocery shopping is documented using CPI data on prices, and neighborhood-level credit card expenditure data. Residents of peripheral, non-affluent neighborhoods are charged some of the highest prices in the city, and yet display a low tendency to shop outside their neighborhood. In contrast, residents of affluent, centrally-located neighborhoods often benefit from lower grocery prices charged in their own neighborhood, while also displaying a high propensity to shop at the hard-discount grocers located in the city's commercial districts. The role of spatial frictions in shaping these patterns is studied within a structural model where households determine their shopping destination and retailers choose prices. The estimated model implies strong spatial segmentation in households' demand. Counterfactual analyses reveal that alleviating spatial frictions results in considerable benefits to the average resident of the peripheral neighborhoods. At the same time, it barely affects the equilibrium prices charged across the city, and so it does little to benefit households with limited mobility (e.g., the elderly).<br>
description: No weights
description: Response Rates: Not relevant
description: Presence of Common Scales: No scaling
description: Prices sampled following CPI methodology
description: sample of grocery stores and supermarkets in Jerusalem, Israel in 2007 and 2008.. Smallest Geographic Unit: neighborhood
description: coded on-site observation; other;
DOI: 10.3886/e120073v1
title: Data and code for: Retail Prices in a City

description: This study examines grocery price differentials across neighborhoods in a large metropolitan area (the city of Jerusalem, Israel). Important variation in access to affordable grocery shopping is documented using CPI data on prices, and neighborhood-level credit card expenditure data. Residents of peripheral, non-affluent neighborhoods are charged some of the highest prices in the city, and yet display a low tendency to shop outside their neighborhood. In contrast, residents of affluent, centrally-located neighborhoods often benefit from lower grocery prices charged in their own neighborhood, while also displaying a high propensity to shop at the hard-discount grocers located in the city's commercial districts. The role of spatial frictions in shaping these patterns is studied within a structural model where households determine their shopping destination and retailers choose prices. The estimated model implies strong spatial segmentation in households' demand. Counterfactual analyses reveal that alleviating spatial frictions results in considerable benefits to the average resident of the peripheral neighborhoods. At the same time, it barely affects the equilibrium prices charged across the city, and so it does little to benefit households with limited mobility (e.g., the elderly).<br>
description: No weights
description: Response Rates: Not relevant
description: Presence of Common Scales: No scaling
description: Prices sampled following CPI methodology
description: sample of grocery stores and supermarkets in Jerusalem, Israel in 2007 and 2008.. Smallest Geographic Unit: neighborhood
description: coded on-site observation; other;
DOI: 10.6084/m9.figshare.12863843
title: A multiproxy database of western North American Holocene paleoclimate records

description: Holocene climate reconstructions are useful for understanding the diverse features and spatial heterogeneity of past and future climate change. Here we present a database of western North American Holocene paleoclimate records. The database gathers paleoclimate time series from 209 terrestrial and marine sites, including 382 individual proxy records. The records span at least 4,000 of the last 12,000 years (median duration = 10,603 years), and have been screened for resolution, chronologic control, and climate sensitivity. Of the records in this compilation, 42% were previously included in version 1 of the Temperature 12k database (Kaufman et al., 2020). This database adds another 39 temperature-sensitive records, plus 179 records that reflect hydroclimate and circulation changes. The database is shared in the machine readable Linked Paleo Data (LiPD) format and includes geochronologic data for generating site-level time-uncertain ensembles. This publicly accessible and curated collection of proxy paleoclimate records will have wide research applications, including, for example, investigations of the primary features of ocean-atmospheric circulation along the eastern margin of the North Pacific and the latitudinal response of climate to orbital changes. This database is described by a manuscript in review in Earth System Science Data: manuscript ID essd-2020-2015. Upon publication, the database will be hosted by the World Data Service for Paleoclimatology (www.ncdc.noaa.gov/paleo/study/30535), and further updates will be available there.
DOI: 10.6084/m9.figshare.12863843.v2
title: A multiproxy database of western North American Holocene paleoclimate records

description: Holocene climate reconstructions are useful for understanding the diverse features and spatial heterogeneity of past and future climate change. Here we present a database of western North American Holocene paleoclimate records. The database gathers paleoclimate time series from 209 terrestrial and marine sites, including 382 individual proxy records. The records span at least 4,000 of the last 12,000 years (median duration = 10,603 years), and have been screened for resolution, chronologic control, and climate sensitivity. Of the records in this compilation, 42% were previously included in version 1 of the Temperature 12k database (Kaufman et al., 2020). This database adds another 39 temperature-sensitive records, plus 179 records that reflect hydroclimate and circulation changes. The database is shared in the machine readable Linked Paleo Data (LiPD) format and includes geochronologic data for generating site-level time-uncertain ensembles. This publicly accessible and curated collection of proxy paleoclimate records will have wide research applications, including, for example, investigations of the primary features of ocean-atmospheric circulation along the eastern margin of the North Pacific and the latitudinal response of climate to orbital changes. This database is described by a manuscript in review in Earth System Science Data: manuscript ID essd-2020-2015. Upon publication, the database will be hosted by the World Data Service for Paleoclimatology (www.ncdc.noaa.gov/paleo/study/30535), and further updates will be available there.
DOI: 10.3886/e119001
title: Data and code for: Racial Divisions and Criminal Justice: Evidence from Southern State Courts

description: The US criminal justice system is exceptionally punitive. We test whether racial heterogeneity is one cause, exploiting cross-jurisdiction variation in punishment severity in four Southern states. We estimate the causal effect of jurisdiction on arrest outcome using a fixed effects model that incorporates extensive charge and defendant controls. We validate our estimates using defendants charged in multiple jurisdictions. Consistent with a model of ingroup bias in electorate preferences, the relationship between local severity and black population share follows an inverted U-shape. Within states, defendants are 27%-54% more likely to be incarcerated in `peak' heterogeneous jurisdictions than in homogeneous jurisdictions. We estimate that confinement rates and race-based confinement rate gaps would fall by 15% if all jurisdictions adopted the severity of homogeneous jurisdictions within their state.<br><br>
DOI: 10.3886/e119001v1
title: Data and code for: Racial Divisions and Criminal Justice: Evidence from Southern State Courts

description: The US criminal justice system is exceptionally punitive. We test whether racial heterogeneity is one cause, exploiting cross-jurisdiction variation in punishment severity in four Southern states. We estimate the causal effect of jurisdiction on arrest outcome using a fixed effects model that incorporates extensive charge and defendant controls. We validate our estimates using defendants charged in multiple jurisdictions. Consistent with a model of ingroup bias in electorate preferences, the relationship between local severity and black population share follows an inverted U-shape. Within states, defendants are 27%-54% more likely to be incarcerated in `peak' heterogeneous jurisdictions than in homogeneous jurisdictions. We estimate that confinement rates and race-based confinement rate gaps would fall by 15% if all jurisdictions adopted the severity of homogeneous jurisdictions within their state.<br><br>
DOI: 10.5066/p9x7eo1k
title: Data and model archive for multiple linear regression models for prediction of weighted cyanotoxin mixture concentrations and microcystin concentrations at three recurring bloom sites in Kabetogama Lake in Minnesota

description: Multiple linear regression models were developed using data collected in 2016 and 2017 from three recurring bloom sites in Kabetogama Lake in northern Minnesota. These models were developed to predict concentrations of cyanotoxins (anatoxin-a, microcystin, and saxitoxin) that occur within the blooms. Virtual Beach software (version 3.0.6) was used to develop four models: two cyanotoxin mixture (MIX) models and two microcystin (MC) models. Models include those using readily available environmental variables (for example, wind speed and specific conductance) and those using additional comprehensive variables (based on laboratory analyses). Many of the independent variables were averages over a certain time period prior to a sample date, whereas other independent variables were lagged between 4 and 8 days. Funding for this work was provided by the U.S Geological Survey ? National Park Service Partnership and the U.S. Geological Survey Environmental Health Program (Toxic Substance Hydrology and Contaminant Biology). The resulting model equations and final datasets are included in this data release while an associated child item model archive includes all the files needed to run and develop these VB models.
DOI: 10.5281/zenodo.4317170
title: Convolutional neural networks for segmentation of FIB-SEM nanotomography data from porous polymer films for controlled drug release

description: Dataset and code used in F Skärberg, et al, "Convolutional neural networks for segmentation of FIB-SEM nanotomography data from porous polymer films for controlled drug release", published in Journal of Microscopy. In this work, we develop a segmentation method based on convolutional neural networks (CNNs) for focused ion beam scanning electron microscopy (FIB-SEM) data, acquired from porous polymer films made from ethyl cellulose and hydroxypropyl cellulose (EC/HPC) polymer blends. Herein, all codes in Python/Tensorflow and Matlab necessary to reproduce the results of the paper are supplied, together with the raw data, manual segmentations, trained models, and final segmentation results.
DOI: 10.5281/zenodo.4317169
title: Convolutional neural networks for segmentation of FIB-SEM nanotomography data from porous polymer films for controlled drug release

description: Dataset and code used in F Skärberg, et al, "Convolutional neural networks for segmentation of FIB-SEM nanotomography data from porous polymer films for controlled drug release", published in Journal of Microscopy. In this work, we develop a segmentation method based on convolutional neural networks (CNNs) for focused ion beam scanning electron microscopy (FIB-SEM) data, acquired from porous polymer films made from ethyl cellulose and hydroxypropyl cellulose (EC/HPC) polymer blends. Herein, all codes in Python/Tensorflow and Matlab necessary to reproduce the results of the paper are supplied, together with the raw data, manual segmentations, trained models, and final segmentation results.
DOI: 10.3886/e117661v1
title: Data and Code for: Heterogeneous Workers and Federal Income Taxes in a Spatial Equilibrium

description: We study the geographic incidence and efficiency of an income tax by estimating a spatial equilibrium model with heterogeneous workers. The US income tax shifts households out of high-productivity cities, leading to locational inefficiency of 0.28% of output. Removing spatial tax distortions increases inequality because more educated households are more mobile and own larger shares of land. Flattening the tax schedule, or introducing cost-of-living adjustments or local wage adjustments leads to efficiency gains but causes substantial increases in inequality. Differences in mobility and land ownership across skill groups create an equity-efficiency trade-off that is unique to spatial settings.
description: All persons living in the United States.
DOI: 10.3886/e119513v1
title: Data and Code for: Emissions, Transmission, and the Environmental Value of Renewable Energy

description: We examine how transmission congestion alters the environmental benefits provided by renewable generation. Using hourly data from the Texas and Mid-Continent electricity markets, we find that relaxing transmission constraints between the wind-rich areas and the demand centers of the respective markets conservatively increases the non-market value of wind by 30% for Texas and 17% for Mid-Continent markets. Much of this increase in the non-market value arises from a redistribution in where air quality improvements occur - when transmission is not constrained, wind offsets much more pollution from fossil fuel units located near highly populated demand centers.<br>
DOI: 10.5517/ccdc.csd.cc2521p0
title: CCDC 1997971: Experimental Crystal Structure Determination

description: Related Article: Guangrui Si, Xiangjing Kong, Tao He, Wei Wu, Linhua Xie, Jianrong Li|2021|Chin.Chem.Lett.|32|918|doi:10.1016/j.cclet.2020.07.023
description: Related Article: Guang-Rui Si|2020|CSD Communication|||
DOI: 10.3886/e119157
title: Code for: Do People Respond to the Mortgage Interest Deduction? Quasi-Experimental Evidence from Denmark

description: Using a major reform which scaled back the mortgage interest deduction for middle- and high-income households in Denmark, we study how tax subsidies affect housing decisions. We present four main findings. First, the mortgage deduction has a precisely estimated zero effect on homeownership for high- and middle-income households. Second, the mortgage deduc- tion has a clear effect on housing demand at the intensive margin, inducing homeowners to buy larger and more expensive houses. Third, the deduction has sizeable effects on household financial decisions, inducing them to increase indebtedness. Finally, the reduction of the tax subsidy lowered equilibrium house prices.
description: The population of Denmark, age 20-80. .
DOI: 10.7302/g30s-fe40
title: Martian neutral winds and ion drifts
DOI: 10.5281/zenodo.4670450
title: Top 500 movies from Filmaffinity and comparison with IMDb

description: This dataset contains information about the top 500 movies listed in Filmaffinity. It also contains the IMDb rating for each of them. It therefore allows us to compare the ratings from each platform and perform descriptive and predictive analysis according to the different dataset fields.
description: Dataset generated for the 1st practice in the subject Tipología y ciclo de vida de los datos (UOC, 2021)
DOI: 10.5281/zenodo.4670449
title: Top 500 movies from Filmaffinity and comparison with IMDb

description: This dataset contains information about the top 500 movies listed in Filmaffinity. It also contains the IMDb rating for each of them. It therefore allows us to compare the ratings from each platform and perform descriptive and predictive analysis according to the different dataset fields.
description: Dataset generated for the 1st practice in the subject Tipología y ciclo de vida de los datos (UOC, 2021)
DOI: 10.3886/e119684
title: Data and Code for: Do School Spending Cuts Matter? Evidence from The Great Recession

description: During the Great Recession, national public school per-pupil spending fell by roughly seven percent, and persisted beyond the recovery. The impact of such large and sustained education funding cuts is not well understood. To examine this, first, we document that the recessionary drop in spending coincided with the end of decades-long national growth in both test scores and college-going. Next, we show that this stalled educational progress was particularly pronounced in states that experienced larger recessionary budget cuts for plausibly exogenous reasons. To isolate budget cuts that were unrelated to (a) other ill-effects of the recession or (b) endogenous state policies, we use states’ historical reliance on state-appropriated funds (which are more sensitive to the business cycle) to fund public schools interacted with the timing of the recession as instruments for reductions in school spending. Cohorts exposed to these spending cuts had lower test scores and lower college-going rates. The spending cuts led to larger test score gaps by income and race.
description: Smallest Geographic Unit: state
DOI: 10.3886/e119684v1
title: Data and Code for: Do School Spending Cuts Matter? Evidence from The Great Recession

description: During the Great Recession, national public school per-pupil spending fell by roughly seven percent, and persisted beyond the recovery. The impact of such large and sustained education funding cuts is not well understood. To examine this, first, we document that the recessionary drop in spending coincided with the end of decades-long national growth in both test scores and college-going. Next, we show that this stalled educational progress was particularly pronounced in states that experienced larger recessionary budget cuts for plausibly exogenous reasons. To isolate budget cuts that were unrelated to (a) other ill-effects of the recession or (b) endogenous state policies, we use states’ historical reliance on state-appropriated funds (which are more sensitive to the business cycle) to fund public schools interacted with the timing of the recession as instruments for reductions in school spending. Cohorts exposed to these spending cuts had lower test scores and lower college-going rates. The spending cuts led to larger test score gaps by income and race.
description: Smallest Geographic Unit: state
DOI: 10.5519/qd.ykjro9xo
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (88 records)
DOI: 10.5519/qd.2lpruktt
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (9 records)
DOI: 10.5519/qd.gjrrv73r
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (8 records)
DOI: 10.5281/zenodo.4644374
title: Molecular dynamics simulations of polycrystalline methane hydrates under shear loading: Positions at maximum stress

description: Lammps data files from approximately (closest in time of available dumps) the point in simulations with the largest stress. A later version of this dataset will contain more information about the data, and also contain input scripts and thermodynamics outputs from the simulations. The simulations of this dataset are similar to the ones from; Wu, J., Ning, F., Trinh, T. T., Kjelstrup, S., Vlugt, T. J., He, J., ... & Zhang, Z. (2015). Mechanical instability of monocrystalline and polycrystalline methane hydrates. <em>Nature communications</em>, <em>6</em>, 8743, except that in the present dataset, the hydrate polycrystals were subjected to shear loading rather than tensile and compressional loading.
DOI: 10.5519/qd.ihrpwdmw
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (81 records)
DOI: 10.5519/qd.r0yac50t
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (365 records)
DOI: 10.5519/qd.05vxi8kc
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (296 records)
DOI: 10.3886/e118906
title: Data and Code for: Long-term Contextual Effects in Education: Schools and Neighborhoods

description: This paper estimates the long-term impact of growing up in better neighborhoods and attending better schools on educational attainment. First, I use a spatial regression-discontinuity design to estimate school effects. Second, I study students who move across neighborhoods in Montreal during childhood to estimate the causal effect of growing up in a better area (total exposure effects). I find large effects for both dimensions. Combining both research designs in a decomposition framework, and under key assumptions, I estimate that 50%-70% of the benefits of moving to a better area on educational attainment are due to access to better schools.
DOI: 10.3886/e118906v1
title: Data and Code for: Long-term Contextual Effects in Education: Schools and Neighborhoods

description: This paper estimates the long-term impact of growing up in better neighborhoods and attending better schools on educational attainment. First, I use a spatial regression-discontinuity design to estimate school effects. Second, I study students who move across neighborhoods in Montreal during childhood to estimate the causal effect of growing up in a better area (total exposure effects). I find large effects for both dimensions. Combining both research designs in a decomposition framework, and under key assumptions, I estimate that 50%-70% of the benefits of moving to a better area on educational attainment are due to access to better schools.
DOI: 10.5519/qd.199dsbau
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (37 records)