cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25345/c56t0h79b
title: MassIVE MSV000097109 - Epichaperomics files associated with manuscript
title: The proteome can be dramatically reshaped under disease conditions without relying on genetic mutations or altered gene expression. A striking example of this is the transformation of molecular chaperones into epichaperomes, a process driven by cellular stress and disease environments. Unlike traditional chaperones, which assist in protein folding, epichaperomes assemble into scaffolding platforms that reorganize protein networks, enabling maladaptive cellular behaviors. Our work reveals that the shift from chaperones to epichaperomes profoundly alters cellular organization and function, extending to impact protein localization and organelle dynamics.
DOI: 10.15468/dl.uscytc
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Craugastor uno (Savage, 1985)"
 ]
}

 The dataset includes 24 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000446-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.afjy8b
title: Occurrence Download

description: A dataset containing 371 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Craugastor vocalis (Taylor, 1940)"
 ]
}

 The dataset includes 371 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000447-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14062900
title: Dataset for the paper "Anomaly Detection in Large-Scale Cloud Systems: An Industry Case and Dataset"

description: We present a large-scale anomaly detection dataset collected from IBM Cloud's Console over approximately 4.5 months. This high-dimensional dataset captures telemetry data from multiple data centers, specifically designed to aid researchers in developing and benchmarking anomaly detection methods in large-scale cloud environments. It contains 39,365 entries, each representing a 5-minute interval, with 117,448 features/attributes, as interval_start is used as the index. The dataset includes detailed information on request counts, HTTP response codes, and various aggregated statistics. The dataset also includes labeled anomaly events identified through IBM's internal monitoring tools, providing a comprehensive resource for real-world anomaly detection research and evaluation.

File Descriptions



location_downtime.csv - Details planned and unplanned downtimes for IBM Cloud data centers, including start and end times in ISO 8601 format.

unpivoted_data.parquet - Contains raw telemetry data with 413 million+ rows, covering details like location, HTTP status codes, request types, and aggregated statistics (min, max, median response times).

anomaly_windows.csv - Ground truth for anomalies, listing start and end times of recorded anomalies, categorized by source (Issue Tracker, Instant Messenger, Test Log).

pivoted_data_all.parquet - Pivoted version of the telemetry dataset with 39,365 rows and 117,449 columns, including aggregated statistics across multiple metrics and intervals.

demo/demo.[ipynb|html]: This demo file provides examples of how to access data in the Parquet files, available in Jupyter Notebook (.ipynb) and HTML (.html) formats, respectively.


Further details of the dataset can be found in Appendix B: Dataset Characteristics of the paper titled "Anomaly Detection in Large-Scale Cloud Systems: An Industry Case and Dataset." Sample code for training anomaly detectors using this data is provided in this package.

 

When using the dataset, please cite it as follows:

@misc{islam2024anomaly,      title={Anomaly Detection in Large-Scale Cloud Systems: An Industry Case and Dataset},       author={Mohammad Saiful Islam and Mohamed Sami Rakha and William Pourmajidi and Janakan Sivaloganathan and John Steinbacher and Andriy Miranskyy},      year={2024},      eprint={2411.09047},      archivePrefix={arXiv},      url={https://arxiv.org/abs/2411.09047}}
DOI: 10.5281/zenodo.14062899
title: Dataset for the paper "Anomaly Detection in Large-Scale Cloud Systems: An Industry Case and Dataset"

description: We present a large-scale anomaly detection dataset collected from IBM Cloud's Console over approximately 4.5 months. This high-dimensional dataset captures telemetry data from multiple data centers, specifically designed to aid researchers in developing and benchmarking anomaly detection methods in large-scale cloud environments. It contains 39,365 entries, each representing a 5-minute interval, with 117,448 features/attributes, as interval_start is used as the index. The dataset includes detailed information on request counts, HTTP response codes, and various aggregated statistics. The dataset also includes labeled anomaly events identified through IBM's internal monitoring tools, providing a comprehensive resource for real-world anomaly detection research and evaluation.

File Descriptions



location_downtime.csv - Details planned and unplanned downtimes for IBM Cloud data centers, including start and end times in ISO 8601 format.

unpivoted_data.parquet - Contains raw telemetry data with 413 million+ rows, covering details like location, HTTP status codes, request types, and aggregated statistics (min, max, median response times).

anomaly_windows.csv - Ground truth for anomalies, listing start and end times of recorded anomalies, categorized by source (Issue Tracker, Instant Messenger, Test Log).

pivoted_data_all.parquet - Pivoted version of the telemetry dataset with 39,365 rows and 117,449 columns, including aggregated statistics across multiple metrics and intervals.

demo/demo.[ipynb|html]: This demo file provides examples of how to access data in the Parquet files, available in Jupyter Notebook (.ipynb) and HTML (.html) formats, respectively.


Further details of the dataset can be found in Appendix B: Dataset Characteristics of the paper titled "Anomaly Detection in Large-Scale Cloud Systems: An Industry Case and Dataset." Sample code for training anomaly detectors using this data is provided in this package.

 

When using the dataset, please cite it as follows:

@misc{islam2024anomaly,      title={Anomaly Detection in Large-Scale Cloud Systems: An Industry Case and Dataset},       author={Mohammad Saiful Islam and Mohamed Sami Rakha and William Pourmajidi and Janakan Sivaloganathan and John Steinbacher and Andriy Miranskyy},      year={2024},      eprint={2411.09047},      archivePrefix={arXiv},      url={https://arxiv.org/abs/2411.09047}}
DOI: 10.6073/pasta/07094a01fa33c90e989da5f35d7114fa
title: DEPRECATED: Monthly measurement summaries from Lake Hoare Meteorological Station (HOEM), McMurdo Dry Valleys, Antarctica

description: **DEPRECATED: Use knb-lter-mcm.7011.20 (or later) instead. Monthly summaries for this station have been discontinued, but high-frequency measurements, as well as hourly and daily summary data, are available in the referenced data package.**

 As part of the McMurdo Dry Valleys Long Term Ecological Research program, meteorological data are collected from various locations throughout the McMurdo Dry Valleys of Antarctica. This data package contains monthly measurement summaries derived from 15-minute data generated by the Lake Hoare Meteorological Station (HOEM), located in Taylor Valley.
DOI: 10.15468/dl.y6n9eu
title: Occurrence Download

description: A dataset containing 153 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.32_1",
 "TaxonKey is Vanessa annabella (Field, 1971)"
 ]
}

 The dataset includes 153 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000449-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p5e4be
title: Occurrence Download

description: A dataset containing 192 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Craugastor vulcani (Shannon & Werler, 1955)"
 ]
}

 The dataset includes 192 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000450-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b6awvu
title: Occurrence Download

description: A dataset containing 231 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Craugastor yucatanensis (Lynch, 1965)"
 ]
}

 The dataset includes 231 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000454-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/7e190c3ba91b5fe828c06afd7474d1f8
title: DEPRECATED: Daily measurement summaries from Miers Valley Meteorological Station (MISM), McMurdo Dry Valleys, Antarctica

description: **DEPRECATED: Use knb-lter-mcm.7020.13 (or later) instead. Daily summaries for this station are now part of a consolidated data package that also includes high-frequency measurements and hourly summary data.**

 As part of the McMurdo Dry Valleys Long Term Ecological Research program, meteorological data are collected from various locations throughout the McMurdo Dry Valleys of Antarctica. This data package contains daily measurement summaries derived from 15-minute data generated by the Miers Valley Meteorological Station (MISM), located in Miers Valley.
DOI: 10.15468/dl.ayew2g
title: Occurrence Download

description: A dataset containing 2976 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ursus arctos horribilis Ord, 1815",
 "Year 1901-2025"
 ]
}

 The dataset includes 2976 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000455-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vqjkrs
title: Occurrence Download

description: A dataset containing 14917 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lespedeza cuneata (Dum.Cours.) G.Don, Anthyllis cuneata Dum.Cours., Hedysarum sericeum Murray, Anila chinensis Kuntze, Lespedeza juncea var. subsericea Miq., Lespedeza juncea var. sericea (Thunb.) Lace & Hauech, Lespedeza argyrea Siebold & Zucc., Lespedeza juncea subsp. sericea (Thunb.) Lace & Hauech, Aspalathus cuneata (Dum.Cours.) D.Don)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 14917 records from 155 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000456-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eusx77
title: Occurrence Download

description: A dataset listing the 20094 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "DatasetKey is iNaturalist Research-grade Observations",
 "Year 2024-2025"
 ]
}

 The dataset's 20094 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000452-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/eaa99553882700e56b5bc5bc5afd21a1
title: DEPRECATED: Monthly measurement summaries from Miers Valley Meteorological Station (MISM), McMurdo Dry Valleys, Antarctica

description: **DEPRECATED: Use knb-lter-mcm.7020.13 (or later) instead. Monthly summaries for this station have been discontinued, but high-frequency measurements, as well as hourly and daily summary data, are available in the referenced data package.**

 As part of the McMurdo Dry Valleys Long Term Ecological Research program, meteorological data are collected from various locations throughout the McMurdo Dry Valleys of Antarctica. This data package contains monthly measurement summaries derived from 15-minute data generated by the Miers Valley Meteorological Station (MISM), located in Miers Valley.
DOI: 10.15468/dl.2e9qt7
title: Occurrence Download

description: A dataset containing 4906 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "TaxonKey is Trachemys scripta scripta"
 ]
}

 The dataset includes 4906 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000458-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s9sh3v
title: Occurrence Download

description: A dataset containing 857119 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is iNaturalist Research-grade Observations",
 "OccurrenceStatus is Present",
 "Year 2016-2016"
 ]
}

 The dataset includes 857119 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000451-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3bu7k4
title: Occurrence Download

description: A dataset containing 250 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Mexico, United States of America, Canada)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Danaus plexippus (Linnaeus, 1758)",
 "Year 2025-2025"
 ]
}

 The dataset includes 250 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000459-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mgf5sr
title: Occurrence Download

description: A dataset containing 319351 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2024-12-18",
 "EventDate is less than or equal to 2025-01-17",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 }
 ]
}

 The dataset includes 319351 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000453-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.24x52w
title: Occurrence Download

description: A dataset containing 52301 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "TaxonKey is Emys orbicularis (Linnaeus, 1758)"
 ]
}

 The dataset includes 52301 records from 815 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000460-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.