cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.fkgf4a
title: Occurrence Download

description: A dataset containing 12751 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Honduras",
 "OccurrenceStatus is Present",
 "TaxonKey is Poaceae"
 ]
}

 The dataset includes 12751 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002292-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bgcftr
title: Occurrence Download

description: A dataset containing 3812 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is one of (Brazil, Argentina, Paraguay)",
 "TaxonKey is Euphonia chalybea (Mikan, 1825)"
 ]
}

 The dataset includes 3812 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002296-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e197923
title: Data and Code for: Do Consumers Distinguish Fixed Cost from Variable Cost? “Schmeduling” in Two-Part Tariffs in Energy

description: A central assumption in economics is that consumers properly distinguish fixed cost from vari- able cost. This assumption is fundamental to various economic theories, including optimal taxation, redistribution, and price discrimination. Using a quasi-experiment in heating price reform in China, we find empirical evidence that is inconsistent with this conventional assump- tion, and more consistent with the “schmeduling” model in Liebman and Zeckhauser (2004). As we demonstrate its policy implications for two-part energy tariffs, this schmeduling behavior makes fixed costs directly relevant to the perceived relative prices of goods, and therefore alters the welfare implications of price, tax, and subsidy designs.
description: Households in Tianjin, China during 2008-2019.
DOI: 10.3886/e197923v1
title: Data and Code for: Do Consumers Distinguish Fixed Cost from Variable Cost? “Schmeduling” in Two-Part Tariffs in Energy

description: A central assumption in economics is that consumers properly distinguish fixed cost from vari- able cost. This assumption is fundamental to various economic theories, including optimal taxation, redistribution, and price discrimination. Using a quasi-experiment in heating price reform in China, we find empirical evidence that is inconsistent with this conventional assump- tion, and more consistent with the “schmeduling” model in Liebman and Zeckhauser (2004). As we demonstrate its policy implications for two-part energy tariffs, this schmeduling behavior makes fixed costs directly relevant to the perceived relative prices of goods, and therefore alters the welfare implications of price, tax, and subsidy designs.
description: Households in Tianjin, China during 2008-2019.
DOI: 10.25824/redu/gt2xqw
title: Entre corpos, textos e contextos: linguagens da arte em narrativas de mulheres professoras

description: Este projeto de pesquisa está alocado no Laboratório de Estudos sobre Arte, Corpo e Educação (Laborarte) da Faculdade de Educação da Universidade Estadual de Campinas (Unicamp) e situa-se na temática das “questões de gênero, raça e etnia” da Chamada “LinCAr 2022” da Fapesp. Trata-se de uma pesquisa narrativa que se apoiou numa concepção dialógica e sócio-histórica de linguagem e que teve como objetivo primordial compreender como vem se dando o processo de constituição de mulheres - negras, indígenas e brancas - como professoras da educação básica em redes públicas de ensino de diferentes regiões do Brasil, e como esse processo de constituição docente vem sendo atravessado por diferentes formas de linguagem, especialmente aquelas que se manifestam por meio da arte, do corpo, da gestualidade, da expressão corporal. Interessou-nos ouvir essas mulheres professoras e, para tal, as convidamos a tomar a palavra para produzir narrativas orais, escritas e visuais a respeito de suas histórias vividas na pluralidade de experiências entre sujeitos que interagem, que se relacionam e que se comunicam por meio de múltiplas linguagens, especialmente, das linguagens da arte. Nossa intenção foi, igualmente, colocar em circulação sentidos acerca das relações de gênero e étnico-raciais com vistas a entender como elas se interseccionam nos processos de constituição docente dessas mulheres professoras. A investigação foi conduzida por uma equipe interdisciplinar, com especialidades complementares e com diversificada experiência de pesquisa, composta majoritariamente por mulheres de diferentes instituições brasileiras (abrangendo as cinco regiões do país), além de uma universidade internacional. Entrevistamos 29 mulheres professoras, sendo 15 negras, 6 indígenas e 8 brancas. Além das entrevistas individuais, realizamos encontros coletivos entre as professoras participantes e a equipe de pesquisa, organizamos eventos na Faculdade de Educação da Unicamp (presencial e online) e publicamos um e-book da pesquisa, no qual constam 20 capítulos escritos de forma individual ou em coautoria envolvendo 16 professoras participantes e 11 pesquisadoras(es). No livro, podemos conhecer as narrativas plurais de mulheres professoras e pesquisadoras, com experiências marcadas por diferentes culturas, por diversos saberes e vivências que nos movimentam com suas insurgências dos afetos.
DOI: 10.15468/dl.b22e44
title: Occurrence Download

description: A dataset containing 821 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Latrodectus tredecimguttatus (Rossi, 1790)"
 ]
}

 The dataset includes 821 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002633-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/eccd196e1bf25c97fedb8bd48bfbb4a0
title: MCR LTER: Coral Reef: Gump Station Meteorological Data, ongoing since 2006

description: These data provide meteorological information measured at the GUMP research station on the north shore of Moorea island, French Polynesia. Data collection began in August 2006 and include air temperature, relative humidity, wind speed and direction, solar radiation, atmospheric pressure, and integrated rainfall. All sensors are sampled every 5 minutes. Post-processing of these data is limited to some unit conversion and exclusion of corrupted data records. Aggregate data are provided in daily, weekly, monthly, and yearly time bins.
 ClimDB data for station GUMPM were derived from the same data source.
 This material uses data collected by the U.S. National Science Foundation's (NSF) Moorea Coral Reef Long Term Ecological Research (MCR LTER) site under Grant No. OCE 2224354 (and earlier awards). Additional financial support to the MCR LTER site was provided through a generous gift from the Gordon and Betty Moore Foundation. Research was completed under permits issued by the French Polynesian Government (Délégation à la Recherche) and the Haut-commissariat de la République en Polynésie Francaise (DTRT) (Protocole d'Accueil 2005-2025).
 With respect to the spelling of Moorea, we followed the Raapoto transcription system that is adhered to by a large segment of the Tahitian community but also recognizes other community members follow the Te Fare Vāna’a transcription system where the island name is spelled with an ’eta (Mo’orea).
DOI: 10.3886/e202069
title: Data and Code for: Free Entry in a Cournot Market with Overlapping Ownership

description: The code supplements the analysis of the effects of overlapping ownership among existing firms deciding whether to enter a product market. It produces simulations of the theoretical model. Particularly, it contains code that: (i) generates simulation figures and (ii) derives numerical results with regard to the theoretical model.<br><br>
description: Smallest Geographic Unit: Country
DOI: 10.3886/e202069v1
title: Data and Code for: Free Entry in a Cournot Market with Overlapping Ownership

description: The code supplements the analysis of the effects of overlapping ownership among existing firms deciding whether to enter a product market. It produces simulations of the theoretical model. Particularly, it contains code that: (i) generates simulation figures and (ii) derives numerical results with regard to the theoretical model.<br><br>
description: Smallest Geographic Unit: Country
DOI: 10.15468/dl.zk4pfx
title: Occurrence Download

description: A dataset containing 10970 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lynx canadensis Kerr, 1792"
 ]
}

 The dataset includes 10970 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002635-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e207961
title: Data and Code for: Search Costs and Context Effects

description: Empirical search cost estimates are often large and increasing in the size of the transaction. We conduct an online search experiment in which we manipulate the price scale while keeping the physical search effort per price quote constant. Additionally, we obtain a direct measure of subjects’ opportunity costs of time. Using a standard search model, we confirm that search cost estimates are large and increasing in the price scale. We then modify the model to incorporate context effects with respect to prices. This results in search cost estimates that are scale-independent and correspond well to subjects’ opportunity costs of time.<br>
DOI: 10.3886/e207961v1
title: Data and Code for: Search Costs and Context Effects

description: Empirical search cost estimates are often large and increasing in the size of the transaction. We conduct an online search experiment in which we manipulate the price scale while keeping the physical search effort per price quote constant. Additionally, we obtain a direct measure of subjects’ opportunity costs of time. Using a standard search model, we confirm that search cost estimates are large and increasing in the price scale. We then modify the model to incorporate context effects with respect to prices. This results in search cost estimates that are scale-independent and correspond well to subjects’ opportunity costs of time.<br>
DOI: 10.15468/dl.5ta2mk
title: Occurrence Download

description: A dataset containing 545 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pristimantis merostictus (Lynch, 1984)"
 ]
}

 The dataset includes 545 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002648-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r52x4f
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Global Register of Introduced and Invasive Species - Canada"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002637-250325103851331/datasets/export for details.
DOI: 10.15468/dl.wzup4s
title: Occurrence Download

description: A dataset containing 1692 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Material citation)",
 "TaxonKey is Callipepla douglasii (Vigors, 1829)"
 ]
}

 The dataset includes 1692 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002650-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2fa33g
title: Occurrence Download

description: A dataset containing 7129 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-77.10239 38.83215,-76.96472 38.83215,-76.96472 38.94713,-77.10239 38.94713,-77.10239 38.83215))",
 "TaxonKey is Megaceryle alcyon (Linnaeus, 1758)"
 ]
}

 The dataset includes 7129 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002649-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d5s9zb
title: Occurrence Download

description: A dataset containing 52363 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Myriophyllum alterniflorum DC."
 ]
}

 The dataset includes 52363 records from 542 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002621-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.89gcx6
title: Occurrence Download

description: A dataset containing 866928 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Depth is greater than 200m",
 "BasisOfRecord is Machine Observation",
 "HasGeospatialIssue is FALSE",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 866928 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002632-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zb95zv
title: Occurrence Download

description: A dataset containing 1111273112 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (United States of America, United States Minor Outlying Islands, American Samoa, Micronesia (Federated States of), Guam, Marshall Islands, Northern Mariana Islands, Puerto Rico, Palau, Virgin Islands (U.S.))",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
}

 The dataset includes 1111273112 records from 5549 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002598-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1167366.10fu
title: SH1167366.10FU

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/sh1167368.10fu
title: SH1167368.10FU

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/sh1167371.10fu
title: SH1167371.10FU

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/sh1167375.10fu
title: SH1167375.10FU

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/sh1167379.10fu
title: SH1167379.10FU

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/sh1167383.10fu
title: SH1167383.10FU

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/sh1167385.10fu
title: SH1167385.10FU

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/sh1167387.10fu
title: SH1167387.10FU

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.