cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.d5z2kn
title: Occurrence Download

description: A dataset containing 94757 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Terathopius ecaudatus)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 94757 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029012-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2wdvww
title: Occurrence Download

description: A dataset containing 2056 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anopheles stephensi"
 ]
}

 The dataset includes 2056 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029036-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14473/csda/sir246
title: Mínění občanů o aktuálních politických otázkách (porovnání věkových skupin A (15-29) a B (15+))

description: Kabinet pro výzkum veřejného mínění při FSÚ provedl v průběhu dubna roku 1977 výzkum s názvem Mínění občanů o aktuálních otázkách (porovnání věkových skupin A (15-29) a B (15+)). Sběr dat provádělo 352 tazatelů KVVM-FSÚ metodou standardizovaného rozhovoru (v češtině, slovenštině a maďarštině).
Výběrový soubor měl 1 552 dotázaných. Data byla získána ze dvou výběrových souborů - výběr z celé populace ČSSR starší 15ti let (1 719 osob) a výběrem z mladé generace do 29 let včetně (1 540 osob). Výběrový soubor z celé populace i z mladé generace 15-29 let byl sestaven podle předepsaných kvótních znaků (pohlaví věk a ekonomická aktivita), tak aby jeho složení odpovídalo (bylo reprezentativní) v prvním případě složení populace ČSSR starší 15ti let a v druhém případě populaci 15-29 let.
DOI: 10.15468/dl.bc2fq8
title: Occurrence Download

description: A dataset containing 179 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cerastium lanceolatum",
 "HasCoordinate is true",
 "Geometry POLYGON ((-17.66889 -35.11691, 51.34702 -35.11691, 51.34702 37.62, -17.66889 37.62, -17.66889 -35.11691))"
 ]
}

 The dataset includes 179 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029039-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/rn3gcyjfp4
title: CTLs treated with CQ

description: CTLs treated with CQ
DOI: 10.17632/rn3gcyjfp4.1
title: CTLs treated with CQ

description: CTLs treated with CQ
DOI: 10.15468/dl.b7p3vm
title: Occurrence Download

description: A dataset containing 41659 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cichorium intybus",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 41659 records from 181 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029038-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14473/csda/eqqhuf
title: Sociálně ekonomické postavení mladé generace před II. sjezdem SSM

description: Kabinet pro výzkum veřejného mínění při FSÚ provedl v období března roku 1977 výzkum s názvem Sociálně ekonomické postavení mladé generace před II. sjezdem SSM. Sběr dat provádělo 400 tazatelů KVVM-FSÚ metodou standardizovaného rozhovoru (v češtině, slovenštině a maďarštině).
Výběrový soubor měl 1 552 dotázaných. Data byla získána ze dvou výběrových souborů - výběr z celé populace ČSSR starší 15ti let (1 695 osob) a výběrem z mladé generace do 29 let včetně (1 024 osob). Výběrový soubor z celé populace byl sestaven podle předepsaných kvótních znaků (pohlaví věk a ekonomická aktivita), tak aby jeho složení odpovídalo (bylo reprezentativní) složení populace ČSSR starší 15ti let. Výběrový soubor z mladé generace 15-29 let byl sestaven pouze na základě kvótních znaků pohlaví a věk.
DOI: 10.17632/6w74w4xmf9
title: manuscript data

description: Soil organic arbon, nitrogen, and phosphorus data
DOI: 10.14473/csda/ibljgj
title: Sociálně ekonomické postavení mladé generace před II. sjezdem SSM

description: Kabinet pro výzkum veřejného mínění při FSÚ provedl v roce 1977 výzkum s názvem Sociálně ekonomické postavení mladé generace před II. sjezdem SSM. Sběr dat zajistilo během měsíce března 400 tazatelů KVVM FSÚ metodou standardizovaného rozhovoru. Tematicky se výzkum především zaměřil na postoje a postavení tehdejší mládeže, konkrétně na socioprofesionální charakteristiky, životní úroveň, zájmovou a hodnotovou orientaci lidí. Konečný soubor respondentů byl složen ze dvou výběrových souborů - kvótního výběru z celé populace ČSSR starší 15 let (1 695 osob) a výběru z mladé generace do 29 let včetně (1 024 osob).

Dotazník není k dispozici. Konkrétní otázky a informace uvedené k výzkumu jsou zkonstruovány na základě obsahu dostupných materiálů. Závěrečná zpráva obsahuje statistiky platné pro skupinu respondentů ve věku 15-29 let, proto se její závěry neshodují s výslednými statistikami vyplývajícími z primárního datového souboru.
DOI: 10.17632/6w74w4xmf9.1
title: manuscript data

description: Soil organic arbon, nitrogen, and phosphorus data
DOI: 10.5281/zenodo.16324660
title: Disdrometer Data UGent Melle

description: 1-minute temporal resolution OTT Parisvel² disdrometer data at the Melle (ILVO) recording station.
DOI: 10.5281/zenodo.16324661
title: Disdrometer Data UGent Melle

description: 1-minute temporal resolution OTT Parisvel² disdrometer data at the Melle (ILVO) recording station.
DOI: 10.17632/995db26b36
title: On the politics of pandemics: Theory and evidence (Supplementary Data and Code)

description: This guide will help you replicate the results in the original paper entitled On the politics of pandemics: Theory and evidence by P. Stankov. To replicate the approach in the paper, please open the README.txt first and follow the instructions.
DOI: 10.14473/csda/0orsgw
title: Způsob života a vzdělání

description: Kabinet pro výzkum veřejného mínění při FSÚ v rámci výzkumu Způsob života a vzdělání provedl v období března a dubna 1974 metodou standardizovaného dotazníku (v českém a slovenském jazyce) sběr dat. Výběrový soubor měl velikost 1 741 občanů ČSSR 15-60 let a byl vybrán podle 4 předepsaných kvótních znaků - pohlaví, věku, vzdělání a sociální skupiny.
DOI: 10.17632/995db26b36.3
title: On the politics of pandemics: Theory and evidence (Supplementary Data and Code)

description: This guide will help you replicate the results in the original paper entitled On the politics of pandemics: Theory and evidence by P. Stankov. To replicate the approach in the paper, please open the README.txt first and follow the instructions.
DOI: 10.15468/dl.285ycq
title: Occurrence Download

description: A dataset listing the 0 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "StateProvince is one of (Paipa)",
 "GadmGid is one of (COL.7.64_2)"
 ]
 }
 ]
}

 The dataset's 0 records were derived from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029028-250717081556266/datasets/export for details.
DOI: 10.17632/5r9th34cpm.4
title: Phosphorylation of Hemocyanin at S293 Activates p38 MAPK Signaling to Induce Antimicrobial Peptides in Penaeus vannamei

description: This data is raw data about "Phosphorylation of Hemocyanin at S293 Activates p38 MAPK Signaling to Induce Antimicrobial Peptides in Penaeus vannamei"
DOI: 10.14473/csda/blikhu
title: Cestování a rekreace

description: Kabinet pro výzkum veřejného mínění při FSÚ provedl v lednu až únoru roku 1974 výzkum s názvem Cestování a rekreace. Sběr dat provádělo 254 tazatelů KVVM metodou standardizovaného rozhovoru (v češtině a slovenštině). Výběrový soubor dotázaných byl vybrán podle tří předepsaných kvótních znaků (pohlaví, věk a sociální skupina) tak, aby jeho složení odpovídalo složení veškeré československé populace starší 15 let. Výběrový soubor měl velikost 2 000 občanů ČSSR starších 15ti let.
DOI: 10.15468/dl.942aar
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Registros de mamíferos en cámaras trampa Santa Rosa 2024 - Grupo HAME"
 ]
}

 The dataset includes 63 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029040-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/n73cyx89gs
title: Replication package for "Why Does Options Market Information Predict Stock Returns?" by Muravyev, Pearson, and Pollet

description: This replication package includes the necessary code and data to generate the Tables and Figures in the "Why Does Options Market Information Predict Stock Returns?" paper by Dmitriy Muravyev, Neil D. Pearson, and Joshua M. Pollet, forthcoming in the Journal of Financial Economics. 
Please read README.txt for details.
Abstract: Several influential studies show that transformations of implied volatilities calculated from options prices predict stock returns. This predictability is puzzling because market participants readily observe options prices. We find that this predictability is consistent with implied volatilities reflecting stock borrow fees that are known to predict stock returns. We derive a formula relating the option-implied volatility spread to the borrow fee. Motivated by this relation, we show that the return predictability from implied volatility spread and skew decreases by at least two-thirds if high-fee stocks are excluded. The patterns for other predictors computed from option implied volatilities are similar.
DOI: 10.17632/n73cyx89gs.2
title: Replication package for "Why Does Options Market Information Predict Stock Returns?" by Muravyev, Pearson, and Pollet

description: This replication package includes the necessary code and data to generate the Tables and Figures in the "Why Does Options Market Information Predict Stock Returns?" paper by Dmitriy Muravyev, Neil D. Pearson, and Joshua M. Pollet, forthcoming in the Journal of Financial Economics. 
Please read README.txt for details.
Abstract: Several influential studies show that transformations of implied volatilities calculated from options prices predict stock returns. This predictability is puzzling because market participants readily observe options prices. We find that this predictability is consistent with implied volatilities reflecting stock borrow fees that are known to predict stock returns. We derive a formula relating the option-implied volatility spread to the borrow fee. Motivated by this relation, we show that the return predictability from implied volatility spread and skew decreases by at least two-thirds if high-fee stocks are excluded. The patterns for other predictors computed from option implied volatilities are similar.
DOI: 10.17632/b8bmmsdy83
title: Scripts and data: Metabolic regulation of the maize rhizobiome by benzoxazinoids

description: Data set and scripts for :
Cotton, T.E.A., Pétriacq, P., Cameron, D.D. et al. Metabolic regulation of the maize rhizobiome by benzoxazinoids. ISME J 13, 1647–1658 (2019). https://doi.org/10.1038/s41396-019-0375-2
DOI: 10.17632/b8bmmsdy83.2
title: Scripts and data: Metabolic regulation of the maize rhizobiome by benzoxazinoids

description: Data set and scripts for :
Cotton, T.E.A., Pétriacq, P., Cameron, D.D. et al. Metabolic regulation of the maize rhizobiome by benzoxazinoids. ISME J 13, 1647–1658 (2019). https://doi.org/10.1038/s41396-019-0375-2
DOI: 10.15468/dl.bqyjmz
title: Occurrence Download

description: A dataset containing 741 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Laburnum alpinum",
 "Country is Norway",
 "HasCoordinate is true"
 ]
}

 The dataset includes 741 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029041-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0167446.10fu
title: SH0167446.10FU

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/sh0167447.10fu
title: SH0167447.10FU

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/sh0167448.10fu
title: SH0167448.10FU

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/sh0167449.10fu
title: SH0167449.10FU

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/sh0167450.10fu
title: SH0167450.10FU

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/sh0167451.10fu
title: SH0167451.10FU

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/sh0167452.10fu
title: SH0167452.10FU

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/sh0167453.10fu
title: SH0167453.10FU

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/sh0167454.10fu
title: SH0167454.10FU

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.