cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.a8xg35
title: Occurrence Download

description: A dataset containing 4476 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Epipremnum aureum (Linden & André) G.S.Bunting"
 ]
}

 The dataset includes 4476 records from 87 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010647-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y8k2mr
title: Occurrence Download

description: A dataset containing 172 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "GadmGid is IDN.31_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Sapindaceae"
 ]
}

 The dataset includes 172 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010648-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zamy8c
title: Occurrence Download

description: A dataset containing 251 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Guatemala, Honduras, El Salvador, Belize, Panama, Costa Rica, Nicaragua)",
 "TaxonKey is Momotus momota (Linnaeus, 1766)"
 ]
}

 The dataset includes 251 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010649-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rcjyme
title: Occurrence Download

description: A dataset containing 478 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes aegypti (Linnaeus, 1762)",
 "Country is India",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 478 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010650-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48488/cpj7-wn62
title: River variables - water quality and quantity of the Savijoki River during the years 2016-2022

description: High frequency, hourly monitoring of the Savijoki River turbidity and  water temperature in three monitoring site along the river was conducted using online YSI EXO2 sondes. The sensors were calibrated in a laboratory twice a year. All sensors were cleaned automatically by a brush before every measurement. The EXO sondes monitored both the position and the power consumption of the brush enabling the detection of malfunctions of the cleaning system. Manual inspection of the data flow and quality was check in a daily routine. EXO sondes were used from 2016-02-19 to 2022-05-09. There were no online EXO sondes in the Savijoki in the summers of 2019 and 2020.

The three turbidity monitoring sites are denoted in the data columns of the water_quality_EXO.cvs file with letters c,u,l. The letters refer to the following monitoring stations in the Savijoki River with identification, name and location (Latitude, Longitude):
c = control site, Savijoki mittapato
u = upper site, Savijoki Yliskulma
l = lower site, Savijoki Bränikkälä Parmaharju, 60.526726, 22.537906


Water level (W, cm) was measured at the Savijoki mittapato site only. Hourly water level by a calibrated V-notch weir is transformed into discharge by a rating curve. Discharge has been converted into runoff (R, l/s/km2) by dividing the discharge by the contributing catchment area. Size of the contributing catchment at the Savijoki mittapato site is 15 km2. The hydrological station was managed by the Southwest Finland Centre for Economic Growth, Transport and the Environment  the data was checked at the Finnish Environment Institute.

Content of the water_quality_EXO.csv datafile:

Datetime: date and time (local time)
T_c, T_u, T_l: Preliminary turbidity (FNU) data where clearly deviating values have been removed. Sites: c,u,l

Turb_c, Turb_u, Turb_l: Turbidity (FNU) part of the data lacking in the column T_c has been interpolated. Sites: c,u,l

FLAG_c, FLAG_u, FLAG_l :Potential outliers in turbidity data marked with x based on visual inspection and comparison of timeseries monitored in the river. Sites: c,u,l

t_c, t_u, t_l: Preliminary water temperature (°C) data where clearly deviating values have been removed. Sites: c,u,l
Temp_c, Temp_u, Temp_l: Water temperature (°C). Contains interpolated data. Sites: c,u,l

Content of the hydrological_data.xlsx
Datetime: Date and time (local time)
W: water level (cm)
R:runoff (l/s/km2)
WST: water temperature (°C)
DOI: 10.15468/dl.c6mhcv
title: Occurrence Download

description: A dataset containing 4741 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aeschynomene sensitiva Sw."
 ]
}

 The dataset includes 4741 records from 257 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010651-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dcet98
title: Occurrence Download

description: A dataset listing the 871 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Nigeria",
 "DatasetKey is Nigerian Bird Atlas Project (Adhoc Records)"
 ]
}

 The dataset's 871 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010638-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57928/ax0r-r331
title: Coptic Scriptorium Data Release V4.4.0
DOI: 10.15468/dl.stwc2a
title: Occurrence Download

description: A dataset containing 133 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Widdringtonia whytei Rendle"
 ]
}

 The dataset includes 133 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010653-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7wwpam
title: Occurrence Download

description: A dataset containing 885 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes aegypti (Linnaeus, 1762)",
 "Country is Thailand",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 885 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010654-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17909/kjg5-8t66
title: JWST and HST data of V1298 Tau b

description: A metal-poor atmosphere with a hot interior for a young sub-Neptune progenitor:
JWST/NIRSpec transmission spectrum of V1298 Tau b
DOI: 10.15468/dl.2w66v2
title: Occurrence Download

description: A dataset containing 261 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Alburnoides kubanicus Bănărescu, 1964"
 ]
}

 The dataset includes 261 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010656-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8n7yx2
title: Occurrence Download

description: A dataset containing 2071 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is HBRG Badger Dataset"
 ]
}

 The dataset includes 2071 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010657-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27074832
title: On Optimality of Mallows Model Averaging

description: In the past decades, model averaging (MA) has attracted much attention as it has emerged as an alternative tool to the model selection (MS) statistical approach. <i>Hansen</i> introduced a Mallows model averaging (MMA) method with model weights selected by minimizing a Mallows’ Cp criterion. The main theoretical justification for MMA is an asymptotic optimality (AOP), which states that the risk/loss of the resulting MA estimator is asymptotically equivalent to that of the best but infeasible averaged model. MMA’s AOP is proved in the literature by either constraining weights in a special discrete weight set or limiting the number of candidate models. In this work, it is first shown that under these restrictions, however, the optimal risk of MA becomes an unreachable target, and MMA may converge more slowly than MS. In this background, a foundational issue that has not been addressed is: When a suitably large set of candidate models is considered, and the model weights are not harmfully constrained, can the MMA estimator perform asymptotically as well as the optimal convex combination of the candidate models? We answer this question in both nested and non-nested settings. In the nested setting, we provide finite sample inequalities for the risk of MMA and show that without unnatural restrictions on the candidate models, MMA’s AOP holds in a general continuous weight set under certain mild conditions. In the non-nested setting, a sufficient condition and a negative result are established for the achievability of the optimal MA risk. Implications on minimax adaptivity are given as well. The results from simulations and real data analysis back up our theoretical findings. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.5281/zenodo.14100612
title: Steam Top Sellers

description: Dataset that take the latest 4000 games, considered as 'top sellers' in the Steam page
DOI: 10.5281/zenodo.14100613
title: Steam Top Sellers

description: Dataset that take the latest 4000 games, considered as 'top sellers' in the Steam page
DOI: 10.6084/m9.figshare.27074832.v1
title: On Optimality of Mallows Model Averaging*†

description: In the past decades, model averaging (MA) has attracted much attention as it has emerged as an alternative tool to the model selection (MS) statistical approach. Hansen (2007) introduced a Mallows model averaging (MMA) method with model weights selected by minimizing a Mallows’ Cp criterion. The main theoretical justification for MMA is an asymptotic optimality (AOP), which states that the risk/loss of the resulting MA estimator is asymptotically equivalent to that of the best but infeasible averaged model. MMA’s AOP is proved in the literature by either constraining weights in a special discrete weight set or limiting the number of candidate models. In this work, it is first shown that under these restrictions, however, the optimal risk of MA becomes an unreachable target, and MMA may converge more slowly than MS. In this background, a foundational issue that has not been addressed is: When a suitably large set of candidate models is considered, and the model weights are not harmfully constrained, can the MMA estimator perform asymptotically as well as the optimal convex combination of the candidate models? We answer this question in both nested and non-nested settings. In the nested setting, we provide finite sample inequalities for the risk of MMA and show that without unnatural restrictions on the candidate models, MMA’s AOP holds in a general continuous weight set under certain mild conditions. In the non-nested setting, a sufficient condition and a negative result are established for the achievability of the optimal MA risk. Implications on minimax adaptivity are given as well. The results from simulations and real data analysis back up our theoretical findings.
DOI: 10.15468/dl.zvyxc4
title: Occurrence Download

description: A dataset containing 252 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes aegypti (Linnaeus, 1762)",
 "Country is Puerto Rico",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 252 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010658-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10573190
title: Data from: Diversity and molecular evolution of non-visual opsin genes across environmental, developmental, and morphological adaptations in frogs

description: Dataset for the article Diversity and molecular evolution of non-visual opsin genes across environmental, developmental, and morphological adaptations in frogs. Includes non-visual opsin coding sequences from frogs, sequence alingments, phylogenetics trees, and raw PAML results files.
DOI: 10.5281/zenodo.10573191
title: Data from: Diversity and molecular evolution of non-visual opsin genes across environmental, developmental, and morphological adaptations in frogs

description: Dataset for the article Diversity and molecular evolution of non-visual opsin genes across environmental, developmental, and morphological adaptations in frogs. Includes non-visual opsin coding sequences from frogs, sequence alingments, phylogenetics trees, and raw PAML results files.
DOI: 10.15468/dl.v97te3
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.48_1",
 "TaxonKey is Icaricia icarioides blackmorei (Barnes & McDunnough, 1919)"
 ]
}

 The dataset includes 14 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010659-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.28u4t7
title: Occurrence Download

description: A dataset containing 9004 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Casearia decandra Jacq., Samyda lancifolia Sessé & Moc., Casearia adamantium Cambess., Casearia nitida (L.) Jacq., Casearia adstringens Mart. ex Eichler, Guidonia adstringens (Mast.) Baill., Guidonia parvifolia (Willd.) M.Gómez, Casearia floribunda Briq., Casearia albicaulis Rusby, Casearia pavoniana Sleumer, Chaetocrater reflexum Ruiz & Pav. ex López, Casearia reflexa Sleumer)"
 ]
}

 The dataset includes 9004 records from 328 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010655-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fr49vd
title: Occurrence Download

description: A dataset containing 2920 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Neptunia plena (L.) Benth."
 ]
}

 The dataset includes 2920 records from 216 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010660-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fqtzes
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "GadmGid is one of (IDN.31_1, IDN.30_1, IDN.32_1)",
 "TaxonKey is Rafflesiaceae"
 ]
}

 The dataset includes 21 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010662-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gxrjm8
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is one of (China, Hong Kong, Macao, Chinese Taipei)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lymantria dispar Linnaeus, 1758"
 ]
}

 The dataset includes 34 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010661-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gmxksy
title: Occurrence Download

description: A dataset containing 217 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-48.8021 -1.61103,-48.61132 -1.71782,-48.44094 -1.66862,-48.15897 -1.54864,-48.11218 -1.03749,-48.45294 -1.0135,-48.60652 -1.20787,-48.7949 -1.51024,-48.8021 -1.61103))",
 "OccurrenceStatus is Present",
 "TaxonKey is Monasa morphoeus (Hahn & Küster, 1823)"
 ]
}

 The dataset includes 217 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010663-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gwvmfe
title: Occurrence Download

description: A dataset containing 778472 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Cetacea",
 "Year is greater than or equal to 1980",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation, Living Specimen, Occurrence evidence)",
 "Geometry POLYGON((-85 -50,-85 85, 22 85,22 -50,-85 -50))"
 ]
}

 The dataset includes 778472 records from 588 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010643-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18201095
title: Dataset questionnaire for "The Impact of Risk, Self-Efficacy, and Social Factors on  the Adoption and Use of Healthy Lifestyle Applications"
DOI: 10.5281/zenodo.18201096
title: Dataset questionnaire for "The Impact of Risk, Self-Efficacy, and Social Factors on  the Adoption and Use of Healthy Lifestyle Applications"
DOI: 10.15156/bio/sh0182503.10fu
title: SH0182503.10FU

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/sh0182504.10fu
title: SH0182504.10FU

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/sh0182505.10fu
title: SH0182505.10FU

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/sh0182506.10fu
title: SH0182506.10FU

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/sh0182507.10fu
title: SH0182507.10FU

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.