cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1492080.08fu
title: SH1492080.08FU

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/sh1492081.08fu
title: SH1492081.08FU

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/sh1955545.08fu
title: SH1955545.08FU

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/sh1955546.08fu
title: SH1955546.08FU

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/sh1955547.08fu
title: SH1955547.08FU

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/sh1492082.08fu
title: SH1492082.08FU

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/sh1492083.08fu
title: SH1492083.08FU

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: 10.15468/dl.rb6tj5
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leucadendron immoderatum Rourke"
 ]
}

 The dataset includes 24 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044416-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qp375z
title: Occurrence Download

description: A dataset containing 154 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lophiolepis tenoreana (Petr.) Del Guacchio, Bures, Iamonico & P.Caputo"
 ]
}

 The dataset includes 154 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044417-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ghzme6
title: Occurrence Download

description: A dataset containing 271 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Limonium axillare (Forssk.) Kuntze"
 ]
}

 The dataset includes 271 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044418-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pjx3w6
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Litsea leiantha (Kurz) Hook.fil."
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044419-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m4yshv
title: Occurrence Download

description: A dataset containing 112 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepisorus hachijoensis Sa.Kurata"
 ]
}

 The dataset includes 112 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044420-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.98eg7y
title: Occurrence Download

description: A dataset containing 697 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leucadendron lanigerum H.Buek ex Meisn."
 ]
}

 The dataset includes 697 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044421-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z8zvfj
title: Occurrence Download

description: A dataset containing 1215 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lophira alata Banks ex C.F.Gaertn."
 ]
}

 The dataset includes 1215 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044422-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r9zg56
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Limonium balearicum (Pignatti) Brullo"
 ]
}

 The dataset includes 60 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044424-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t2pxgd
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Litsea leytensis Merr."
 ]
}

 The dataset includes 9 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044423-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mgxp6p
title: Occurrence Download

description: A dataset containing 139 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepisorus henryi (Hieron. ex C.Chr.) Li Wang"
 ]
}

 The dataset includes 139 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044425-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tx5sea
title: Occurrence Download

description: A dataset containing 2464 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leucadendron laureolum (Lam.) Fourc."
 ]
}

 The dataset includes 2464 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044426-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tr6dsq
title: Occurrence Download

description: A dataset containing 322 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Litsea ligustrina (Nees) Fern.-Vill."
 ]
}

 The dataset includes 322 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044427-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c55rtu
title: Occurrence Download

description: A dataset containing 8750076 records in GBIF matching the query:
SELECT PRINTF('%04d-%02d', "year", "month") AS yearMonth, GBIF_EEARGCode( 1000, decimalLatitude, decimalLongitude, COALESCE(coordinateUncertaintyInMeters, 1000) ) AS eeaCellCode, familyKey, family, speciesKey, species, COALESCE(sex, 'NOT_SUPPLIED') AS sex, COALESCE(occurrence.lifestage.concept, 'NOT_SUPPLIED') AS lifestage, COUNT(*) AS occurrences, MIN(COALESCE(coordinateUncertaintyInMeters, 1000)) AS minCoordinateUncertaintyInMeters, MIN(GBIF_TemporalUncertainty(eventDate)) AS minTemporalUncertainty, IF(ISNULL(familyKey), NULL, SUM(COUNT(*)) OVER (PARTITION BY familyKey)) AS familyCount FROM occurrence WHERE occurrenceStatus = 'PRESENT' AND continent = 'EUROPE' AND "year" &gt;= 1100 AND kingdomKey = 1 AND classKey = 359 AND hasCoordinate = TRUE AND speciesKey IS NOT NULL AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE') AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE') AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID') AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH') AND "month" IS NOT NULL GROUP BY yearMonth, eeaCellCode, familyKey, family, speciesKey, species, sex, lifestage ORDER BY yearMonth DESC, eeaCellCode ASC, speciesKey ASC

 The dataset's 8750076 records were derived from 9228 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044370-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e116428v1
title: Replication data for: Home Equity Lending and Retail Spending: Evidence from a Natural Experiment in Texas

description: We estimate how spending in Texas responded to a 1997 constitutional amendment that relaxed severe restrictions on home equity lending. We use this event as a natural experiment to estimate the importance of credit constraints. If households are credit-constrained, such an increase in credit availability will increase their spending. We find that Texas retail sales at the county and state levels increased significantly after the amendment, lending support to the credit-constraint hypothesis. We confirm these findings and refine our interpretation of the estimated aggregate-level responses using household-level data on home equity loans. (JEL D14, E21, G21, G28)
DOI: 10.17632/68xr4wmb4c.8
title: Data for: The impact of chronic renal disease on bariatric perioperative outcome: a MBSAQIP matched analysis

description: 2015-2016 MBSAQIP PUF
DOI: 10.3886/e116429
title: Replication data for: The Wrong Shape of Insurance? What Cross-Sectional Distributions Tell Us about Models of Consumption Smoothing

description: This paper shows how two standard models of consumption risk-sharing—self-insurance through borrowing and saving and limited commitment to insurance contracts—replicate similarly well the standard, second-moment measures of insurance observed in US micro data. A nonparametric analysis, however, reveals strongly contrasting and counterfactual joint distributions of consumption, income and wealth. Method of moments estimation shows how measurement error in consumption eliminates excessive skewness and smoothness of consumption growth. Moreover, counterfactual nonlinearities disappear at high-estimated risk aversion under selfinsurance, but are a robust feature of limited commitment. Its "shape of insurance" thus argues in favor of the self-insurance model.
DOI: 10.3886/e116429v1
title: Replication data for: The Wrong Shape of Insurance? What Cross-Sectional Distributions Tell Us about Models of Consumption Smoothing

description: This paper shows how two standard models of consumption risk-sharing—self-insurance through borrowing and saving and limited commitment to insurance contracts—replicate similarly well the standard, second-moment measures of insurance observed in US micro data. A nonparametric analysis, however, reveals strongly contrasting and counterfactual joint distributions of consumption, income and wealth. Method of moments estimation shows how measurement error in consumption eliminates excessive skewness and smoothness of consumption growth. Moreover, counterfactual nonlinearities disappear at high-estimated risk aversion under selfinsurance, but are a robust feature of limited commitment. Its "shape of insurance" thus argues in favor of the self-insurance model.
DOI: 10.3886/e116430
title: Replication data for: Safety Traps

description: Fear of risk provides a rationale for protracted economic downturns. We develop a real business cycle model where investors with decreasing relative risk aversion choose between a risky and a safe technology that exhibit decreasing returns. Because of a feedback effect from the interest rate to risk aversion, two equilibria can emerge: a standard equilibrium and a "safe" one in which investors invest in safer assets. We refer to the dynamics of this second equilibrium as a safety trap because it is self-reinforcing as investors accumulate more wealth and show it to be consistent with Japan's lost decade.
DOI: 10.3886/e116430v1
title: Replication data for: Safety Traps

description: Fear of risk provides a rationale for protracted economic downturns. We develop a real business cycle model where investors with decreasing relative risk aversion choose between a risky and a safe technology that exhibit decreasing returns. Because of a feedback effect from the interest rate to risk aversion, two equilibria can emerge: a standard equilibrium and a "safe" one in which investors invest in safer assets. We refer to the dynamics of this second equilibrium as a safety trap because it is self-reinforcing as investors accumulate more wealth and show it to be consistent with Japan's lost decade.
DOI: 10.3886/e116431
title: Replication data for: "Fisher Dynamics" in US Household Debt, 1929-2011

description: The evolution of debt-income ratios over time depends on income growth, inflation, and interest rates, independent of any changes in borrowing. We examine the effect of these "Fisher dynamics" on household debt-income ratios in the United States over the period 1929–2011. Adapting a standard decomposition of public debt to household sector debt, we show that these factors explain, in accounting terms, a large fraction of the changes in household debt-income ratios observed historically. More recently, debt defaults have also been important. Changes in household debt-income ratios over time cannot be straightforwardly interpreted as reflecting shifts in the supply and demand of household credit.
DOI: 10.3886/e116431v1
title: Replication data for: "Fisher Dynamics" in US Household Debt, 1929-2011

description: The evolution of debt-income ratios over time depends on income growth, inflation, and interest rates, independent of any changes in borrowing. We examine the effect of these "Fisher dynamics" on household debt-income ratios in the United States over the period 1929–2011. Adapting a standard decomposition of public debt to household sector debt, we show that these factors explain, in accounting terms, a large fraction of the changes in household debt-income ratios observed historically. More recently, debt defaults have also been important. Changes in household debt-income ratios over time cannot be straightforwardly interpreted as reflecting shifts in the supply and demand of household credit.
DOI: 10.3886/e116432
title: Replication data for: Fiscal Policy and MPC Heterogeneity

description: We use responses to survey questions in the 2010 Italian Survey of Household Income and Wealth that ask consumers how much of an unexpected transitory income change they would consume. The marginal propensity to consume (MPC) is 48 percent on average. We also find substantial heterogeneity in the distribution, as households with low cash-on-hand exhibit a much higher MPC than affluent households, which is in agreement with models with precautionary savings, where income risk plays an important role. The results have important implications for predicting household responses to tax reforms and redistributive policies.
DOI: 10.3886/e116432v1
title: Replication data for: Fiscal Policy and MPC Heterogeneity

description: We use responses to survey questions in the 2010 Italian Survey of Household Income and Wealth that ask consumers how much of an unexpected transitory income change they would consume. The marginal propensity to consume (MPC) is 48 percent on average. We also find substantial heterogeneity in the distribution, as households with low cash-on-hand exhibit a much higher MPC than affluent households, which is in agreement with models with precautionary savings, where income risk plays an important role. The results have important implications for predicting household responses to tax reforms and redistributive policies.
DOI: 10.3886/e116433
title: Replication data for: Referrals: Peer Screening and Enforcement in a Consumer Credit Field Experiment

description: Empirical evidence on peer intermediation lags behind both theory and practice in which lenders use peers to mitigate adverse selection and moral hazard. Using a referral incentive under individual liability, we develop a two-stage field experiment that permits separate identification of peer screening and enforcement. Our key contribution is to allow for borrower heterogeneity in both ex ante repayment type and ex post susceptibility to social pressure. Our method allows identification of selection on repayment likelihood, selection on susceptibility to social pressure, and loan enforcement. Implementing our method in South Africa we find no evidence of screening but large enforcement effects. (JEL D14, D82, G21, O12, O16)