cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e119742v1
title: Data and Code for National Fiscal Policies to Fight Recessions in US States

description: Countercyclical fiscal policy generally focuses on national economic downturns. But U.S. states experience significantly different patterns of unemployment, and demand shocks appear to drive much of that variation. State budget rules limit the ability of states to mount their own countercyclical policies. Federal taxes and spending programs have countercyclical effects within states, but the magnitude of those effects depends on policies that were designed based on other considerations (just as the extent of national automatic stabilizers is the result of policies based on other considerations). Enacting countercyclical fiscal policy calibrated to state unemployment rates would reduce the cost of recessions. <br>
description: U.S. States<br>.
DOI: 10.3886/e119742
title: Data and Code for National Fiscal Policies to Fight Recessions in US States

description: Countercyclical fiscal policy generally focuses on national economic downturns. But U.S. states experience significantly different patterns of unemployment, and demand shocks appear to drive much of that variation. State budget rules limit the ability of states to mount their own countercyclical policies. Federal taxes and spending programs have countercyclical effects within states, but the magnitude of those effects depends on policies that were designed based on other considerations (just as the extent of national automatic stabilizers is the result of policies based on other considerations). Enacting countercyclical fiscal policy calibrated to state unemployment rates would reduce the cost of recessions. <br>
description: U.S. States<br>.
DOI: 10.3886/e119502v1
title: Data and Code for: “The Financial Center Leverage Cycle: Does it Spread around the World?”

description: With a novel database, we examine the evolution of capital flows since the collapse of the Bretton Woods System in the early 1970s. We decompose capital flows into global, regional, and idiosyncratic factors. In contrast to previous findings, which mostly use data from the 2000s, we find that booms and busts in capital flows are mainly explained by regional factors and not the global factor. We link leverage in the financial center to regional capital flows and the cost of borrowing in international capital markets to examine the drivers of capital flow bonanzas and busts.<br>
DOI: 10.3886/e119502
title: Data and Code for: “The Financial Center Leverage Cycle: Does it Spread around the World?”

description: With a novel database, we examine the evolution of capital flows since the collapse of the Bretton Woods System in the early 1970s. We decompose capital flows into global, regional, and idiosyncratic factors. In contrast to previous findings, which mostly use data from the 2000s, we find that booms and busts in capital flows are mainly explained by regional factors and not the global factor. We link leverage in the financial center to regional capital flows and the cost of borrowing in international capital markets to examine the drivers of capital flow bonanzas and busts.<br>
DOI: 10.3886/e118621v1
title: Data and Code for: Research Transparency Is on the Rise in Economics

description: Has there been meaningful movement toward open science practices within economics in recent years? Discussions about changes in practices such as posting data and pre-registering analyses have been marked by controversy---including controversy over the extent to which change has taken place. This paper, based on the State of Social Science (3S) Survey, provides the first comprehensive assessment of awareness of, attitudes towards, perceived norms regarding, and adoption of open science practices within a broadly representative sample of scholars from economics . We observe a steep increase in adoption: as of 2017, over 90\% of scholars had used at least one such practice, rising from one quarter a decade earlier. This, however, masks substantial heterogeneity in the extent and pace of adoption by field and methodology. We also find that economists are generally aware of open science practices, and they are favorably inclined toward them, while underestimating the extent of support among their peers. Patterns are consistent with most scholars underestimating the trend toward open science in their discipline
DOI: 10.3886/e118621
title: Data and Code for: Research Transparency Is on the Rise in Economics

description: Has there been meaningful movement toward open science practices within economics in recent years? Discussions about changes in practices such as posting data and pre-registering analyses have been marked by controversy---including controversy over the extent to which change has taken place. This paper, based on the State of Social Science (3S) Survey, provides the first comprehensive assessment of awareness of, attitudes towards, perceived norms regarding, and adoption of open science practices within a broadly representative sample of scholars from economics . We observe a steep increase in adoption: as of 2017, over 90\% of scholars had used at least one such practice, rising from one quarter a decade earlier. This, however, masks substantial heterogeneity in the extent and pace of adoption by field and methodology. We also find that economists are generally aware of open science practices, and they are favorably inclined toward them, while underestimating the extent of support among their peers. Patterns are consistent with most scholars underestimating the trend toward open science in their discipline
DOI: 10.3886/e120448
title: Percentage of Inpatient Beds Occupied by COVID-19 Patients – Change in 14 Day Period

description: The average daily change in percentage of inpatient beds occupied by COVID-19 patients in a state was estimated using statistical regression methods. The percentage of inpatient beds occupied by COVID-19 patients on a given date was based on a 3-day moving average, to minimize random fluctuations in bed counts.<br><br>State estimates of change in percentage, with 95% confidence intervals that reflect sampling errors, were based on data submitted by acute care hospitals to the NHSN COVID-19 Module.<br><br>Estimates obtained from regression models were adjusted for hospital size, facility type, and the percentage of facilities participating daily in NHSN COVID-19 Module.
description: Smallest Geographic Unit: State
DOI: 10.3886/e120448v1
title: Percentage of Inpatient Beds Occupied by COVID-19 Patients – Change in 14 Day Period

description: The average daily change in percentage of inpatient beds occupied by COVID-19 patients in a state was estimated using statistical regression methods. The percentage of inpatient beds occupied by COVID-19 patients on a given date was based on a 3-day moving average, to minimize random fluctuations in bed counts.<br><br>State estimates of change in percentage, with 95% confidence intervals that reflect sampling errors, were based on data submitted by acute care hospitals to the NHSN COVID-19 Module.<br><br>Estimates obtained from regression models were adjusted for hospital size, facility type, and the percentage of facilities participating daily in NHSN COVID-19 Module.
description: Smallest Geographic Unit: State
DOI: 10.3886/e120450
title: COVID-19 Data Dashboard – Current Hospital Capacity Estimates – Snapshot

description: Estimates of hospital capacity were available at the national and state levels. These estimates used data that hospitals submitted to the NHSN COVID-19 Module and statistical methods that included weighting (to account for non-response) and multiple imputation (to account for missing data). The estimates (number and percentage) are shown along with 95% confidence intervals that reflect random error.<br><br>Statistical methods: Statistical methods were used to generate estimates of patient impact and hospital capacity measures that are representative at the national level. The estimates are based on data submitted by acute care hospitals to the NHSN COVID-19 Module. The statistical methods include weighting (to account for non-response) and multiple imputation (to account for missing data). The estimates (number and percentage) are shown along with 95% confidence intervals that reflect the statistical error that is primarily due to non-response.
description: Smallest Geographic Unit: State
DOI: 10.3886/e120450v1
title: COVID-19 Data Dashboard – Current Hospital Capacity Estimates – Snapshot

description: Estimates of hospital capacity were available at the national and state levels. These estimates used data that hospitals submitted to the NHSN COVID-19 Module and statistical methods that included weighting (to account for non-response) and multiple imputation (to account for missing data). The estimates (number and percentage) are shown along with 95% confidence intervals that reflect random error.<br><br>Statistical methods: Statistical methods were used to generate estimates of patient impact and hospital capacity measures that are representative at the national level. The estimates are based on data submitted by acute care hospitals to the NHSN COVID-19 Module. The statistical methods include weighting (to account for non-response) and multiple imputation (to account for missing data). The estimates (number and percentage) are shown along with 95% confidence intervals that reflect the statistical error that is primarily due to non-response.
description: Smallest Geographic Unit: State
DOI: 10.3886/e120449v1
title: Data for: Intergenerational Altruism and Retirement Transfers: Evidence from the Social Security Notch

description: <br>This kit provides information to replicate the paper "Intergenerational Altruism and Retirement Transfers: Evidence from the Social Security Notch" by Anita Mukherjee.<br><br>
DOI: 10.3886/e119149
title: Data and Code for: Spatial Disparities and Place-Based Policies in Europe

description: Spatial disparities in income levels and worklessness across the metropolitan areas of the European Union are profound and persistent. We analyze disparities across metropolitan regions in Europe and discuss a rich set of theories and empirical evidence that help us understand the factors driving these disparities. Europe has a long-standing tradition of using place-based policies to reduce economic disparities. We review the evidence and discuss the effects of different types of policies.
DOI: 10.3886/e119149v1
title: Data and Code for: Spatial Disparities and Place-Based Policies in Europe

description: Spatial disparities in income levels and worklessness across the metropolitan areas of the European Union are profound and persistent. We analyze disparities across metropolitan regions in Europe and discuss a rich set of theories and empirical evidence that help us understand the factors driving these disparities. Europe has a long-standing tradition of using place-based policies to reduce economic disparities. We review the evidence and discuss the effects of different types of policies.
DOI: 10.3886/e120449
title: Data and Code for: Intergenerational Altruism and Retirement Transfers: Evidence from the Social Security Notch

description: <br>This kit provides information to replicate the paper "Intergenerational Altruism and Retirement Transfers: Evidence from the Social Security Notch" by Anita Mukherjee.<br><br>
DOI: 10.3886/e120449v2
title: Data and Code for: Intergenerational Altruism and Retirement Transfers: Evidence from the Social Security Notch

description: <br>This kit provides information to replicate the paper "Intergenerational Altruism and Retirement Transfers: Evidence from the Social Security Notch" by Anita Mukherjee.<br><br>
DOI: 10.3886/e119726v1-43409
title: Impacts of Private Prison Contracting on Inmate Time Served and Recidivism

description: This is the replication kit for "Impacts of Private Prison Contracting on Inmate Time Served and Recidivism."<br><br>
DOI: 10.15468/dl.zy5bg5
title: Occurrence Download

description: A dataset containing 316 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ottelia alismoides (L.) Pers.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is Japan"
 ]
}

 The dataset includes 316 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021209-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1461164.08fu
title: SH1461164.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1609777.08fu
title: SH1609777.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1609778.08fu
title: SH1609778.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1609779.08fu
title: SH1609779.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1461165.08fu
title: SH1461165.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1461166.08fu
title: SH1461166.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1609780.08fu
title: SH1609780.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1609781.08fu
title: SH1609781.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1461167.08fu
title: SH1461167.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1461168.08fu
title: SH1461168.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.