cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.mk2brx
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crotalaria congoensis Baker f."
 ]
}

 The dataset includes 11 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011331-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t9z3hk
title: Occurrence Download

description: A dataset containing 1976718 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (South Africa, Lesotho, Eswatini)",
 "DatasetKey is iNaturalist Research-grade Observations",
 "OccurrenceStatus is Present",
 "Year 2000-2024"
 ]
}

 The dataset includes 1976718 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050070-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fqozto
title: Occurrence Download

description: A dataset containing 266 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bupleurum chinense DC."
 ]
}

 The dataset includes 266 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009260-171124123535762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k8nh7q
title: Occurrence Download

description: A dataset containing 112 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crateva falcata (Lour.) DC."
 ]
}

 The dataset includes 112 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011369-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eknfrw
title: Occurrence Download

description: A dataset containing 5187 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Porella navicularis (Lehm. & Lindenb.) Pfeiff."
 ]
}

 The dataset includes 5187 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041560-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.0c5wex
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Hyperolius brachiofasciatus Ahl, 1931",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009260-171219132708484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mzyb8e
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crotalaria craspedocarpa R.Vig."
 ]
}

 The dataset includes 46 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011351-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y9xpas
title: Occurrence Download

description: A dataset containing 1762 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lotus ornithopodioides L.",
 "HasCoordinate is true",
 "Continent is Europe",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000",
 "CoordinateUncertaintyInMeters is less than 10000"
 ]
}

 The dataset includes 1762 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023081-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ssx0gy
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Benthic foraminifera abundance of Hole 96-620"
 ]
}

 The dataset includes 14 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009261-160822134323880/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k9pmqe
title: Occurrence Download

description: A dataset containing 271 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Craterostigma wilmsii Engl."
 ]
}

 The dataset includes 271 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011354-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vy7b32
title: Occurrence Download

description: A dataset containing 59 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, India)",
 "TaxonKey is Cyrtomium anomophyllum (Zenker) Fraser-Jenk."
 ]
}

 The dataset includes 59 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023073-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qotmpt
title: Occurrence Download

description: A dataset containing 59 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alces alces (Linnaeus, 1758)",
 "Country is Canada",
 "Geometry POLYGON((-80.507812 62.754725,-80.507812 41.640078,-50.625 41.640078,-50.625 62.754725,-80.507812 62.754725))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 59 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009261-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z4wpp7
title: Occurrence Download

description: A dataset containing 15115 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ageratina adenophora (Spreng.) R.M.King & H.Rob."
 ]
}

 The dataset includes 15115 records from 232 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011357-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.47zf5k
title: Occurrence Download

description: A dataset containing 577392 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((1.8796086666666671 32.097476, 35.924964333333335 32.097476, 35.924964333333335 49.184106666666665, 1.8796086666666671 49.184106666666665, 1.8796086666666671 32.097476))",
 "EventDate is 2018-09-01,2018-09-30"
 ]
}

 The dataset includes 577392 records from 722 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023107-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ur7tko
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Podarcis muralis (Laurenti, 1768)",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 77 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009262-150615163101818/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vqj3zp
title: Occurrence Download

description: A dataset containing 968 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cryptocarya densiflora Blume"
 ]
}

 The dataset includes 968 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011360-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vm5bhb
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Fistulobalanus pallidus"
 ]
}

 The dataset includes 27 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005638-250920141307145/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.26093737
title: The obesity-associated proteins obtained from the DisGeNet database.

description: Lists of obesity-related proteins obtained from the DisGeNET
DOI: 10.6084/m9.figshare.26093737.v2
title: The obesity-associated proteins obtained from the DisGeNet database.

description: Lists of obesity-related proteins obtained from the DisGeNET
DOI: 10.6084/m9.figshare.26093737.v1
title: Supplementary table S4.obesity-related proteins.DisGeNET.xlsx

description: Lists of obesity-related proteins obtained from the DisGeNET
DOI: 10.5066/p146jegi
title: Electromagnetic, Seismic, Water Specific Conductance, and Water Depth Data from the Dolores River and Vicinity, Paradox Valley, Colorado, December 2023

description: This data release contains frequency domain electromagnetic (FDEM) and passive seismic horizontal to vertical spectral ratio (HVSR) geophysical data collected over and in the vicinity of the Dolores River in Paradox Valley, Colorado. The data collection area is comprised of an approximate 7-kilometer reach of the river and surrounding 100-meter buffer zone on both banks. Water depth and specific conductance data from a boat-based survey are also included, as well as a limited set of active seismic surveys collected and processed using the multichannel analysis of surface waves method (MASW). Raw data, processed inversions (FDEM electrical conductivity versus depth; HVSR resonant frequencies), and rasters of the estimated top of brine and base of alluvial aquifer (top of bedrock) are contained in the attached files. Additionally, a file with locations of likely enhanced brine discharge to the river is included. These data are supported by Terry and others (2025).
DOI: 10.15468/dl.8ytzxj
title: Occurrence Download

description: A dataset containing 964 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "GadmGid is MEX.13_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Lecanoromycetes"
 ]
}

 The dataset includes 964 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005640-250920141307145/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.30179059
title: Nonlinear Shrinkage Estimation of Higher-Order Moments for Portfolio Optimization under Uncertainty in Complex Financial Systems

description: <b>Abstract</b><b>：</b>This paper proposes a nonlinear shrinkage estimation method for higher-order moment matrices within a multifactor model framework. The approach extends the nonlinear shrinkage methodology from covariance to higher-order moments, thereby mitigating the “curse of dimensionality” and alleviating estimation uncertainty in high-dimensional settings. Monte Carlo simulations demonstrate that, compared with linear shrinkage estimation, the proposed method substantially reduces mean squared errors (MSE) and achieves greater Percentage Relative Improvement in Average Loss (PRIAL) for covariance and cokurtosis estimates; relative to sample estimation, it delivers significant gains in mitigating uncertainty for covariance, coskewness, and cokurtosis. An empirical portfolio analysis incorporating higher-order moments shows that, when the asset universe is large, portfolios based on the nonlinear shrinkage estimator outperform those constructed using linear shrinkage and sample estimators, achieving higher annualized return and Sharpe ratio with lower kurtosis and maximum drawdown, thus providing stronger resilience against uncertainty in complex financial systems. In smaller asset universes, nonlinear shrinkage portfolios perform on par with their linear shrinkage counterparts. These findings highlight the potential of nonlinear shrinkage techniques to reduce uncertainty in higher-order moment estimation and to improve portfolio performance across diverse and complex investment environments.
DOI: 10.6084/m9.figshare.30179059.v1
title: Nonlinear Shrinkage Estimation of Higher-Order Moments for Portfolio Optimization under Uncertainty in Complex Financial Systems

description: <b>Abstract</b><b>：</b>This paper proposes a nonlinear shrinkage estimation method for higher-order moment matrices within a multifactor model framework. The approach extends the nonlinear shrinkage methodology from covariance to higher-order moments, thereby mitigating the “curse of dimensionality” and alleviating estimation uncertainty in high-dimensional settings. Monte Carlo simulations demonstrate that, compared with linear shrinkage estimation, the proposed method substantially reduces mean squared errors (MSE) and achieves greater Percentage Relative Improvement in Average Loss (PRIAL) for covariance and cokurtosis estimates; relative to sample estimation, it delivers significant gains in mitigating uncertainty for covariance, coskewness, and cokurtosis. An empirical portfolio analysis incorporating higher-order moments shows that, when the asset universe is large, portfolios based on the nonlinear shrinkage estimator outperform those constructed using linear shrinkage and sample estimators, achieving higher annualized return and Sharpe ratio with lower kurtosis and maximum drawdown, thus providing stronger resilience against uncertainty in complex financial systems. In smaller asset universes, nonlinear shrinkage portfolios perform on par with their linear shrinkage counterparts. These findings highlight the potential of nonlinear shrinkage techniques to reduce uncertainty in higher-order moment estimation and to improve portfolio performance across diverse and complex investment environments.
DOI: 10.15468/dl.exp5f2
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Happywhale - Polar bear in North Atlantic Ocean"
 ]
}

 The dataset includes 12 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005641-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10529177
title: Biosynthetic gene clusters from deadwood-inhabiting microorganisms (long-read shotgun metagenome)

description: Biosynthetic gene clusters identified in shotgun metagenome from Fagus sylvatica deadwood. The deadwood microbiome was shotgun sequenced with PacBio Sequel II and assembled with Hifiasm-meta. Biosynthetic gene clusters were predicted with antiSMASH 6.1.1.
DOI: 10.5281/zenodo.10529179
title: Biosynthetic gene clusters from deadwood-inhabiting microorganisms (long-read shotgun metagenome)

description: Biosynthetic gene clusters identified in shotgun metagenome from Fagus sylvatica deadwood. The deadwood microbiome was shotgun sequenced with PacBio Sequel II and assembled with Hifiasm-meta. Biosynthetic gene clusters were predicted with antiSMASH 6.1.1.
DOI: 10.15468/dl.8d9qtc
title: Occurrence Download

description: A dataset containing 2973 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Atlapetes fuscoolivaceus"
 ]
}

 The dataset includes 2973 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005643-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b2gwqt
title: Occurrence Download

description: A dataset containing 473 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Veratrum album",
 "Country is Norway",
 "HasCoordinate is true"
 ]
}

 The dataset includes 473 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005645-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yg7xpv
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Veratrum album",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 57 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005646-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/djtzbv
title: microbes in coastal sea

description: microbial biogeography
DOI: 10.15468/dl.dq482p
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Veratrum album",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005644-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5m8ut4
title: Occurrence Download

description: A dataset listing the 3 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Colombia",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "StateProvince is Huila",
 "TaxonKey is Didelphis marsupialis"
 ]
}

 The dataset's 3 records were derived from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005613-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18712/nsd-nsd3002-v2
title: Civil Servants 1970-1974

description: The civil servant archive contains information about civil servants in the central administration in the period 1814-1965 and 1970-1974. The archive consists of six individual archives which include the period divisions 1814-1845, 1845-1884, 1885-1914, 1915-1939, 1945-1965 and 1970-1974. The information that is registered varies somewhat between the periods, but contains e.g. place of birth, father's occupation, education, position before and after ministry service, sector affiliation before and after ministry service, ministry positions, final year figures in ministries, salary steps, career within ministry, type of ministry, year of accession and leave. 

- Basic material: 
Data were originally prepared by Per Lægreid and Johan P. Olsen, UiB, Department of Sociology. 
For more detailed information, see: 
- «Officials in Norwegian ministries. An empirical analysis of departures from ministries in the period 1970-1974 ». Master's thesis Sociological Department, UiB, autumn 1975. Working paper no. 40, The Power Inquiry. 

Variables in the dataset:
- Name
- Person's serial number
- Year of birth
- Gender
- Place of birth - municipality number
- Higher education
- Sector employed in previously recruited to the ministry
- Position before employee in the ministries
- Year employed in the ministry
- Special employment conditions
- Sector employed in after completing service in the ministry
- Position after completing service in the ministries
- Year ended in ministry
- Last position in the ministry
- Agency code for the last position in the ministry
- Year took up the last position in the ministry
- Salary class for the last position
- Second last position in the ministry
- Agency code for the penultimate position in the ministry
- Year took up the penultimate position in the ministry
- Third last position in the ministry
- Agency code for third last position in ministry
- Årstall took up the third last position in the ministry
- Fourth last position in the ministry
- Agency code for the fourth last position in the ministry
- Årstall took up the fourth last position in the ministry
- Fifth last position in the ministry
- Agency code for the fifth last position in the ministry
- Årstall took up the fifth last position in the ministry
- Father Profession
- Employed year in the ministry second last registered time
- Year of resignation in the ministry penultimate registered time
- Sector employed in before recruited to the ministry for the penultimate time
- Position before employment in a ministry for the penultimate time
- Sector employed after completing service in the ministry for the penultimate time
- Position after completing service in the ministry, penultimate time
- Year granted last leave
- Year ended last leave
- Sector employed during the last leave
- Position during last leave
DOI: 10.18712/nsd-nsd3008-v2
title: Philologists

description: The material has been collected within the framework of the Academic Project at the Department of Social Research (ISF). For a more detailed description of this project, publication list M.M. Displayed to the collectors on biographical data archives in Norway, which was prepared by the committee for social science computing in 1969.

- The material includes biographical data for philologists with civil society and magistrates in social studies and philological subjects from the period 1820 to 1963. The main responsible for the collection was Tore Lindbekk.
Otherwise, see original PDF documentation

- Data was originally collected and registered on punch cards in the ICT's childhood. Therefore, there are some problems that must be attributed to the process of moving data between different technology generations. Throughout, Nordic alphabetic grades have, Ø and being difficult to handle, also in the difference between upper and lower case.

- Early statistics packages, DDPP and SPSS, could not handle alphabetical variables in a good way. For these data, there has been some problems in allowing registered names to convert data files. In the restored versions this is therefore directed as far as possible.

- Restored version, facilitated in Nesstar 2019