cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.31032610.v1
title: Trans-Glasso: A Transfer Learning Approach to Precision Matrix Estimation

description: Precision matrix estimation is essential in various fields, yet it is challenging when samples for the target study are limited. Transfer learning can enhance estimation accuracy by leveraging data from related source studies. We propose Trans-Glasso, a two-step transfer learning method for precision matrix estimation. First, we obtain initial estimators using a multi-task learning objective that captures both shared and unique features across studies. Then, we refine these estimators through differential network estimation to adjust for structural differences between the target and source precision matrices. Under the assumption that most entries of the target precision matrix are shared with those of the source matrices, we derive non-asymptotic error bounds and show that Trans-Glasso achieves minimax optimality under certain conditions. Extensive simulations demonstrate Trans-Glasso’s superior performance compared to baseline methods, particularly in small-sample settings. We further validate Trans-Glasso in applications to gene networks across brain tissues and protein networks for various cancer subtypes, showcasing its effectiveness in biological contexts. Additionally, we derive the minimax optimal rate for differential network estimation, representing the first such guarantee in this area.
DOI: 10.57967/hf/7470
title: BaboonLand
DOI: 10.15468/dl.7wcc98
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-101.14089 20.48038,-100.97248 20.48038,-100.97248 20.57779,-101.14089 20.57779,-101.14089 20.48038))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (CR, EN)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000002-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.92ueby
title: Occurrence Download

description: A dataset containing 0 records in GBIF matching the query:
SELECT scientificName, countryCode, decimalLatitude, decimalLongitude, eventDate, basisOfRecord FROM occurrence WHERE scientificName = 'Lagopus muta' AND countryCode = 'AT' AND basisOfRecord = 'HUMAN_OBSERVATION' AND decimalLatitude IS NOT NULL AND decimalLongitude IS NOT NULL

 The dataset's 0 records were derived from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000000-260108223611665/datasets/export for details.
DOI: 10.34740/kaggle/dsv/14438996
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.8u6cnx
title: Occurrence Download

description: A dataset containing 4820 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bothrops jararaca"
 ]
}

 The dataset includes 4820 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000003-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7303/syn69694463.2
title: ASSESS ALL ALS Dataset
DOI: 10.6085/aa/ianmxx_xxxit73xmsr01_20241105.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Andrew Molera, California (IANMXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Andrew Molera, California by MARINe/PISCO. Measurements were collected using Electric Blue EnvLogger T7.3 29mm (Electric Blue. NVL-T7-3-29-ZIP) beginning 2024-11-20. Site temperature loggers are bolted down in a wire cage at various locations within each site. Mussel growth temperature loggers are bolted down in a wire cage at high, mid, or low positions within a mussel bed. Temperature is recorded at 10 or 15 minute intervals.
DOI: 10.6085/aa/ianmxx_xxxit73xmsr01_20241105.40.1
title: (:unkn)
DOI: 10.15468/dl.a8p93b
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyanocorax heilprini hafferi"
 ]
}

 The dataset includes 21 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000004-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6085/aa/ibohxx_xxxit73xmsr01_20241205.40.1
title: (:unkn)
DOI: 10.6085/aa/ibohxx_xxxit73xmsr01_20241205.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Boat House, California (IBOHXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Boat House, California by MARINe/PISCO. Measurements were collected using Electric Blue EnvLogger T7.3 29mm (Electric Blue. NVL-T7-3-29-ZIP) beginning 2024-12-13. Site temperature loggers are bolted down in a wire cage at various locations within each site. Mussel growth temperature loggers are bolted down in a wire cage at high, mid, or low positions within a mussel bed. Temperature is recorded at 10 or 15 minute intervals.
DOI: 10.6085/aa/icayxx_xxxit73xmsr01_20241105.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Cayucos, California (ICAYXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Cayucos, California by MARINe/PISCO. Measurements were collected using Electric Blue EnvLogger T7.3 29mm (Electric Blue. NVL-T7-3-29-ZIP) beginning 2024-11-17. Site temperature loggers are bolted down in a wire cage at various locations within each site. Mussel growth temperature loggers are bolted down in a wire cage at high, mid, or low positions within a mussel bed. Temperature is recorded at 10 or 15 minute intervals.
DOI: 10.6085/aa/icayxx_xxxit73xmsr01_20241105.40.1
title: (:unkn)
DOI: 10.6085/aa/ihopxx_xxxit73xmsr01_20241205.40.1
title: (:unkn)
DOI: 10.6085/aa/ihopxx_xxxit73xmsr01_20241205.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Hopkins, California (IHOPXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Hopkins, California by MARINe/PISCO. Measurements were collected using Electric Blue EnvLogger T7.3 29mm (Electric Blue. NVL-T7-3-29-ZIP) beginning 2024-12-13. Site temperature loggers are bolted down in a wire cage at various locations within each site. Mussel growth temperature loggers are bolted down in a wire cage at high, mid, or low positions within a mussel bed. Temperature is recorded at 10 or 15 minute intervals.
DOI: 10.6085/aa/ipsnxx_xxxit73xmsr01_20241105.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Point Sierra Nevada, California (IPSNXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Point Sierra Nevada, California by MARINe/PISCO. Measurements were collected using Electric Blue EnvLogger T7.3 29mm (Electric Blue. NVL-T7-3-29-ZIP) beginning 2024-11-17. Site temperature loggers are bolted down in a wire cage at various locations within each site. Mussel growth temperature loggers are bolted down in a wire cage at high, mid, or low positions within a mussel bed. Temperature is recorded at 10 or 15 minute intervals.
DOI: 10.6085/aa/ipsnxx_xxxit73xmsr01_20241105.40.1
title: (:unkn)
DOI: 10.6085/aa/iptlxx_xxxit73xmsr01_20241105.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Point Lobos, California (IPTLXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Point Lobos, California by MARINe/PISCO. Measurements were collected using Electric Blue EnvLogger T7.3 29mm (Electric Blue. NVL-T7-3-29-ZIP) beginning 2024-11-15. Site temperature loggers are bolted down in a wire cage at various locations within each site. Mussel growth temperature loggers are bolted down in a wire cage at high, mid, or low positions within a mussel bed. Temperature is recorded at 10 or 15 minute intervals.
DOI: 10.6085/aa/iptlxx_xxxit73xmsr01_20241105.40.1
title: (:unkn)
DOI: 10.60555/e8mt-aj63
title: Cold Atom Lab - Microgravity Dynamics of Bubble-Geometry Bose-Einstein Condensates
title: CAL-BEC Bubble Dynamics

description: Microgravity Dynamics of Bubble-geometry Bose-Einstein Condensates (Cold Atom Lab - BEC Bubble Dynamics) aims to study Bose-Einstein Condensates (BECs) and degenerate Fermi gases (DFGs) confined to a the surface of an experimentally-controlled topologically-connected ''bubble.'' The limitations of gravitational sag have prevented terrestrial exploration of a quantum gas confined to such as surface. This investigation aims to test fundamental ideas in quantum mechanics, statistical mechanics, and strongly-correlated many-body physics in condensed matter. Studying the behavior of quantum gas bubbles could provide insights for next-generation quantum sensors and simulators.
DOI: 10.6085/aa/isckxx_xxxit73xmsr01_20241107.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Scott Creek, California (ISCKXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Scott Creek, California by MARINe/PISCO. Measurements were collected using Electric Blue EnvLogger T7.3 29mm (Electric Blue. NVL-T7-3-29-ZIP) beginning 2024-11-14. Site temperature loggers are bolted down in a wire cage at various locations within each site. Mussel growth temperature loggers are bolted down in a wire cage at high, mid, or low positions within a mussel bed. Temperature is recorded at 10 or 15 minute intervals.
DOI: 10.15468/dl.9e2kx5
title: Occurrence Download

description: A dataset containing 174 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "OccurrenceStatus is Present",
 "TaxonKey is Papio kindae"
 ]
}

 The dataset includes 174 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000005-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6085/aa/isckxx_xxxit73xmsr01_20241107.40.1
title: (:unkn)
DOI: 10.15468/dl.8dkr28
title: Occurrence Download

description: A dataset containing 0 records in GBIF matching the query:
SELECT scientificName, countryCode, decimalLatitude, decimalLongitude, eventDate, basisOfRecord FROM occurrence WHERE scientificName = 'Lagopus muta' AND countryCode = 'AT' AND eventDate &gt;= '2020-01-01' AND basisOfRecord = 'HUMAN_OBSERVATION' AND decimalLatitude IS NOT NULL AND decimalLongitude IS NOT NULL

 The dataset's 0 records were derived from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000001-260108223611665/datasets/export for details.
DOI: 10.6085/aa/ivdmxx_xxxit73xmsr01_20241105.40.1
title: (:unkn)
DOI: 10.6085/aa/ivdmxx_xxxit73xmsr01_20241105.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Vista del Mar, California (IVDMXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Vista del Mar, California by MARINe/PISCO. Measurements were collected using Electric Blue EnvLogger T7.3 29mm (Electric Blue. NVL-T7-3-29-ZIP) beginning 2024-11-18. Site temperature loggers are bolted down in a wire cage at various locations within each site. Mussel growth temperature loggers are bolted down in a wire cage at high, mid, or low positions within a mussel bed. Temperature is recorded at 10 or 15 minute intervals.
DOI: 10.60707/5n93-9147
title: OREX-803208-101 STEM image
DOI: 10.7303/syn69694674.2
title: PREVENT ALL ALS Dataset
DOI: 10.15468/dl.x6tv74
title: Occurrence Download

description: A dataset containing 3728 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Profundulidae"
 ]
}

 The dataset includes 3728 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000007-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v6mexu
title: Occurrence Download

description: A dataset containing 209816 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Occurrence evidence, Human Observation, Specimen, Observation)",
 "Country is Israel",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "LastInterpreted is greater than or equal to 2025-01-01",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (96d7ceab-ce9f-4c8a-8d3a-448a5637094a, 503569ca-ecec-4583-a126-cfc6118ee8ea, c8d737e0-2ff8-42e8-b8fc-6b805d26fc5f, fee3882f-5360-4f01-a1ca-767c48fa629c)",
 "Year is greater than or equal to 1850"
 ]
}

 The dataset includes 209816 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000006-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jfwxd3
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((73.270939 23.607065, 73.194303 23.601488, 73.119573 23.584896, 73.048607 23.557702, 72.983164 23.52058, 72.924865 23.474454, 72.875148 23.420468, 72.835234 23.359958, 72.806096 23.294423, 72.78843999999999 23.225483, 72.78268199999999 23.154839, 72.788945 23.08423, 72.807058 23.015396, 72.836557 22.950025, 72.876704 22.889723, 72.926501 22.835966, 72.98472 22.79007, 73.04993 22.753156, 73.120535 22.726126, 73.19480900000001 22.70964, 73.270939 22.704099, 73.347069 22.70964, 73.42134299999999 22.726126, 73.49194799999999 22.753156, 73.557158 22.79007, 73.615377 22.835966, 73.66517399999999 22.889723, 73.705321 22.950025, 73.73482 23.015396, 73.752933 23.08423, 73.759196 23.154839, 73.753438 23.225483, 73.735782 23.294423, 73.706644 23.359958, 73.66673 23.420468, 73.617013 23.474454, 73.55871399999999 23.52058, 73.49327099999999 23.557702, 73.42230499999999 23.584896, 73.34757500000001 23.601488, 73.270939 23.607065))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 30 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000008-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8j7ncs
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((73.318844 23.553729, 73.242239 23.548152, 73.16754 23.53156, 73.09660100000001 23.504366, 73.03118499999999 23.467245, 72.972909 23.421118, 72.92321099999999 23.367132, 72.883313 23.306622, 72.854186 23.241087, 72.836536 23.172146, 72.83078 23.101501, 72.83704 23.030893, 72.85514499999999 22.962057, 72.884632 22.896687, 72.924763 22.836384, 72.97454 22.782626, 73.032736 22.736729, 73.097921 22.699815, 73.168498 22.672784, 73.242743 22.656298, 73.318844 22.650757, 73.39494500000001 22.656298, 73.46919 22.672784, 73.539767 22.699815, 73.604952 22.736729, 73.66314800000001 22.782626, 73.712925 22.836384, 73.753056 22.896687, 73.782543 22.962057, 73.800648 23.030893, 73.80690800000001 23.101501, 73.801152 23.172146, 73.783502 23.241087, 73.754375 23.306622, 73.714477 23.367132, 73.664779 23.421118, 73.606503 23.467245, 73.541087 23.504366, 73.47014799999999 23.53156, 73.395449 23.548152, 73.318844 23.553729))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 13 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000010-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18190363
title: Daily Financial Time Series Data for International Assets (2006–2026): Closing Prices, Volumes, etc.

description: This dataset contains daily time series of closing prices, trading volumes, and other financial indicators for 106 international assets, including stock indices, currencies, commodities, ETFs, and individual equities. The data were collected via the Yahoo Finance API and processed for use in econometric analysis and market microstructure studies.

The dataset is structured as individual files in Apache Parquet format (ticket.parquet), with one file per assets, enabling efficient processing in data analytics environments.

The data are publicly available and intended to support scientific reproducibility and further research in financial economics, econometrics, and statistical physics applied to emerging markets.
DOI: 10.5281/zenodo.18190364
title: Daily Financial Time Series Data for International Assets (2006–2026): Closing Prices, Volumes, etc.

description: This dataset contains daily time series of closing prices, trading volumes, and other financial indicators for 106 international assets, including stock indices, currencies, commodities, ETFs, and individual equities. The data were collected via the Yahoo Finance API and processed for use in econometric analysis and market microstructure studies.

The dataset is structured as individual files in Apache Parquet format (ticket.parquet), with one file per assets, enabling efficient processing in data analytics environments.

The data are publicly available and intended to support scientific reproducibility and further research in financial economics, econometrics, and statistical physics applied to emerging markets.
DOI: 10.15468/dl.p7vj4c
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((73.29021299999999 23.725063, 73.213508 23.719486, 73.138712 23.702894, 73.067682 23.6757, 73.00218099999999 23.638578, 72.94383000000001 23.592452, 72.894069 23.538466, 72.85412100000001 23.477957, 72.82495900000001 23.412422, 72.807288 23.343483, 72.80152699999999 23.272839, 72.80779699999999 23.202232, 72.82592699999999 23.133399, 72.855453 23.06803, 72.895636 23.007729, 72.945477 22.953974, 73.003747 22.908079, 73.069014 22.871166, 73.13968 22.844137, 73.214017 22.827651, 73.29021299999999 22.822111, 73.366409 22.827651, 73.440746 22.844137, 73.51141200000001 22.871166, 73.576679 22.908079, 73.63494900000001 22.953974, 73.68479000000001 23.007729, 73.72497300000001 23.06803, 73.754499 23.133399, 73.77262899999999 23.202232, 73.778899 23.272839, 73.773138 23.343483, 73.755467 23.412422, 73.726305 23.477957, 73.686357 23.538466, 73.636596 23.592452, 73.578245 23.638578, 73.512744 23.6757, 73.441714 23.702894, 73.366918 23.719486, 73.29021299999999 23.725063))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 13 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000012-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60707/spbg-be54
title: OREX-803096-102 STEM data
DOI: 10.5281/zenodo.18190356
title: Unveiling the role of Ndrg1 gene  on the oxidative stress induction  behind the anticancer potential of  styrylquinazoline derivatives

description: This dataset contains raw data from the analyses published in the article entitled “Unveiling the role of Ndrg1 gene on the oxidative stress induction behind the anticancer potential of styrylquinazoline derivatives" (doi: 10.1038/s41598-025-99277-1) published in Scientific Reports.

The raw data were generated during cytotoxicity experiments, flow cytometry measurements (including cell cycle, apoptosis, and autophagy induction), studies on ROS and GSH generation, Lumit assays, and gene expression analysis. The data provided correspond to figures published in the main article and supporting material file.
DOI: 10.6084/m9.figshare.30505906
title: Change Point Detection in Pairwise Comparison Data with Covariates

description: This paper introduces the novel piecewise stationary covariate-assisted ranking estimation (PS-CARE) model for analyzing time-evolving pairwise comparison data, enhancing item ranking accuracy through the integration of covariate information. By partitioning the data into distinct, stationary segments, the PS-CARE model adeptly detects temporal shifts in item rankings, known as change points, whose number and positions are initially unknown. Leveraging the minimum description length (MDL) principle, this paper establishes a statistically consistent model selection criterion to estimate these unknowns. The practical optimization of this MDL criterion is done with the pruned exact linear time (PELT) algorithm. Empirical evaluations reveal the method’s promising performance in accurately locating change points across various simulated scenarios. An application to an NBA dataset yielded meaningful insights that aligned with significant historical events, highlighting the method’s practical utility and the MDL criterion’s effectiveness in capturing temporal ranking changes. To the best of the authors’ knowledge, this research pioneers change point detection in pairwise comparison data with covariate information, representing a significant leap forward in the field of dynamic ranking analysis. Supplementary materials for this article are available online.