cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15005107
title: LSST light curves for constant and variable sources, and for point-like and extended objects microlensing

description: This repository contains the dataset that accompanies the paper Anomaly Detection to Identify Transients in LSST Time Series Data, which should be consulted for further details, along with the artefacts of the trained machine learning models. The dataset was generated using simulated LSST light curves for the Vera C. Rubin Observatory cadence and observational conditions via rubin-sim. It comprises approximately 600 000 light curves designed to detect various transient events, including microlensing signals and variable stars, as well as non-variable signal-less sources used to train the anomaly detection model.

The dataset includes six distinct classes: Constant (non-variable signal-less sources), RR Lyrae variables, Point-like Microlensing (ML), Binary Microlensing (Binary ML), Boson Stars (BS), and NFW Subhalos (NFW). The total number of simulated light curves for each class is as follows:





BS: 320 494




Binary ML: 84 022




ML: 53 565




RR Lyrae: 49 573




NFW: 47 837




Constant: 41 522



The light curves incorporate rubin-sim noise simulation and the LSST 10-year baseline cadence strategy (v2.0). Light curves for Constant, variable, and point-like microlensing events were simulated using MicroLIA, while binary microlensing events were generated using pyLIMA. Light curves for the BS and NFW objects were simulated using the code from this work.

The dataset contains 182 columns covering simulation and generation parameters, observable time series features, the time series itself, and the predictions from the machine learning models used in the paper. The columns are organised by type using prefixes and suffixes:





'timestamps', 'mag', 'magerr': Light curve data.




'gen': Generation parameters (metadata).




'sim': Simulation parameters (metadata).




'feature_' prefix: Features extracted from the light curve and its derivative, marked with the suffix 'deriv'.




'iforest_output': iForest anomaly score.




'pred_': Probabilities and class prediction for the multiclass classifier.



The dataset is provided in 'parquet' format, accessible in Python via 'pandas' by installing the 'parquet' optional dependency (i.e., pip install pandas[parquet]).

The artefacts were generated in Python 3.9.21 using scikit-learn 1.4.1. The imputer_train.pkl file is required to impute missing values before predicting with the iForest model (final_isolation_forest_model.pkl), as it does not handle missing or nan values. The multiclass classifier (classifier.pck) handles missing and nan values directly and was trained without imputed data.Please cite the paper alongisde the zenodo entry if you use this dataset:



@article{CrispimRomao:2025pyl,    author = "Crispim Romao, Miguel and Croon, Djuna and Godines, Daniel",    title = "{Anomaly Detection to identify Transients in LSST Time Series Data}",    eprint = "2503.09699",    archivePrefix = "arXiv",    primaryClass = "astro-ph.SR",    reportNumber = "IPPP/25/15",    month = "3",    year = "2025"}
DOI: 10.5281/zenodo.15005108
title: LSST light curves for constant and variable sources, and for point-like and extended objects microlensing

description: This repository contains the dataset that accompanies the paper Anomaly Detection to Identify Transients in LSST Time Series Data, which should be consulted for further details, along with the artefacts of the trained machine learning models. The dataset was generated using simulated LSST light curves for the Vera C. Rubin Observatory cadence and observational conditions via rubin-sim. It comprises approximately 600 000 light curves designed to detect various transient events, including microlensing signals and variable stars, as well as non-variable signal-less sources used to train the anomaly detection model.

The dataset includes six distinct classes: Constant (non-variable signal-less sources), RR Lyrae variables, Point-like Microlensing (ML), Binary Microlensing (Binary ML), Boson Stars (BS), and NFW Subhalos (NFW). The total number of simulated light curves for each class is as follows:





BS: 320 494




Binary ML: 84 022




ML: 53 565




RR Lyrae: 49 573




NFW: 47 837




Constant: 41 522



The light curves incorporate rubin-sim noise simulation and the LSST 10-year baseline cadence strategy (v2.0). Light curves for Constant, variable, and point-like microlensing events were simulated using MicroLIA, while binary microlensing events were generated using pyLIMA. Light curves for the BS and NFW objects were simulated using the code from this work.

The dataset contains 182 columns covering simulation and generation parameters, observable time series features, the time series itself, and the predictions from the machine learning models used in the paper. The columns are organised by type using prefixes and suffixes:





'timestamps', 'mag', 'magerr': Light curve data.




'gen': Generation parameters (metadata).




'sim': Simulation parameters (metadata).




'feature_' prefix: Features extracted from the light curve and its derivative, marked with the suffix 'deriv'.




'iforest_output': iForest anomaly score.




'pred_': Probabilities and class prediction for the multiclass classifier.



The dataset is provided in 'parquet' format, accessible in Python via 'pandas' by installing the 'parquet' optional dependency (i.e., pip install pandas[parquet]).

The artefacts were generated in Python 3.9.21 using scikit-learn 1.4.1. The imputer_train.pkl file is required to impute missing values before predicting with the iForest model (final_isolation_forest_model.pkl), as it does not handle missing or nan values. The multiclass classifier (classifier.pck) handles missing and nan values directly and was trained without imputed data.Please cite the paper alongisde the zenodo entry if you use this dataset:



@article{CrispimRomao:2025pyl,    author = "Crispim Romao, Miguel and Croon, Djuna and Godines, Daniel",    title = "{Anomaly Detection to identify Transients in LSST Time Series Data}",    eprint = "2503.09699",    archivePrefix = "arXiv",    primaryClass = "astro-ph.SR",    reportNumber = "IPPP/25/15",    month = "3",    year = "2025"}
DOI: 10.15468/dl.9a5e5t
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Alpinia officinarum Hance",
 "Year 1975-2025"
 ]
}

 The dataset includes 33 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008364-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5523/bris.1gr9arko2apr126bsty2e3b41a
title: glycosylated_spike

description: Equilibrium and D-NEMD simulations of glycosylated spike protein from SARS-CoV-2 ancestral variant from DOI:10.7554/eLife.97313.1
DOI: 10.6084/m9.figshare.25582767
title: Sanger sequences of CO_O, CO_R, SVP_O, and SVP_R amplicons of<i> C. bursa-pastoris</i> mutant plants to check on-target and off-target results

description: Sanger sequencing results of the <i>C. bursa-pastoris</i> plants: wild type (WT), and CO_O, CO_R, SVP_O, and SVP_R mutants obtained using CRISPR/Cas9-mediated gene editing
DOI: 10.15468/dl.6ytwyz
title: Occurrence Download

description: A dataset containing 12855 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Physalia physalis (Linnaeus, 1758)"
 ]
}

 The dataset includes 12855 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008366-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15161/oar.it/212632
title: Dataset related to article "Facial emotion recognition in individuals with mild cognitive impairment: An exploratory study"

description: -
DOI: 10.15161/oar.it/212633
title: Dataset related to article "Facial emotion recognition in individuals with mild cognitive impairment: An exploratory study"

description: -
DOI: 10.15468/dl.725tnk
title: Occurrence Download

description: A dataset containing 193 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arytainilla spartiophila (Foerster, 1848)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 193 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008367-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a6uhbx
title: Occurrence Download

description: A dataset containing 570756 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cairina moschata (Linnaeus, 1758))",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 570756 records from 288 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008352-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17631/rd-2025-0007-ddat
title: Interviews with survivors of conflict in Northern Ireland

description: This dataset contains de-identified transcripts of semi structured interviews that took place between August 2016 and June 2017. These interviews were conducted as part of a project entitled 'Transitional justice, wellbeing and intergroup relations'. There are 14 transcripts from interviews with survivors of conflict in Northern Ireland together with documentation, including the interview schedule and informed consent procedures.
DOI: 10.15468/dl.wnp3ae
title: Occurrence Download

description: A dataset containing 2841 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Material sample, Material citation, Fossil, Specimen, Living Specimen, Occurrence evidence, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tylas eduardi Hartlaub, 1862"
 ]
}

 The dataset includes 2841 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008368-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dckvuc
title: Occurrence Download

description: A dataset listing the 10 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-1.6 52.4,-1.5 52.4,-1.5 52.5,-1.6 52.5,-1.6 52.4))",
 "HasCoordinate is true",
 "TaxonKey is one of (Rhinolophus hipposideros (Bechstein, 1800), Myotis mystacinus (Kuhl, 1817), Cervus elaphus Linnaeus, 1758, Asio otus (Linnaeus, 1758), Triturus cristatus (Laurenti, 1768), Bufo bufo (Linnaeus, 1758), Pipistrellus pipistrellus (Schreber, 1774), Meles meles (Linnaeus, 1758), Lutra lutra (Linnaeus, 1758), Araneus diadematus Clerck, 1757, Erinaceus europaeus Linnaeus, 1758, Apodemus sylvaticus (Linnaeus, 1758), Cornu aspersum (O.F.Müller, 1774), Lampyris noctiluca (Linnaeus, 1758), Strix aluco Linnaeus, 1758)"
 ]
}

 The dataset's 10 records were derived from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008365-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60817/yx20-a165
title: Silent lip reading MEG data
DOI: 10.6084/m9.figshare.28595852
title: <b>Data associated with Auguin et al. "The role of Social Transmission..."</b>

description: Data associated with Auguin et al. "<b>The role of social transmission in the use of a new behaviour by killer whales in response to fisheries</b>"
DOI: 10.5285/7f196661-8ab0-4c36-b065-cb519b3fe09d
title: Seismic node data from the Askja Caldera, Iceland, July/August 2023 and July/August 2024

description: This dataset comprises seismic node data from the Askja Caldera, Iceland, which consists of one month of continuous recording in each of  July/August 2023 and July/August 2024. A total of 12 nodes were deployed within the ~8km diameter caldera; each unit consists of a 3-component Smartsolo sensor (IGU-16HR 3C) recording at 250sps. The units were buried such that their tops were ~10cm below the surface. The nodes were distributed irregularly in the caldera due to access issues; namely, only portions of the caldera are walkable. 
The dataset provided is in standard miniseed format, and has an accompanying dataless file in xml format. The  miniseed data is archived in day files under the directories "2023" and "2024", while the xml file is located in the directory "dataless".
The data is of good quality, with both local earthquakes and teleseisms easily detected. The data were collected for the purposes of tracking microseismic activity associated with the recent reinflation event at Aska, and to help facilitate seismic imaging beneath the caldera using both body and surface wave tomography. The data may be of use to other scientists with an interest in earthquake seismology, imaging, and characterisation of geothermal areas near active volcanoes.
The data were collected by the University of Iceland and University of Cambridge, both of who are responsible for interpretation of the data. The archive is complete as it currently stands.
DOI: 10.15468/dl.rxkcdm
title: Occurrence Download

description: A dataset containing 89066 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Polistes dominula (Christ, 1791)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 89066 records from 400 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008335-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sutwne
title: Occurrence Download

description: A dataset containing 704 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Ischnochiton striolatus (Gray, 1828)"
 ]
}

 The dataset includes 704 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008374-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h9t7pu
title: Occurrence Download

description: A dataset containing 671 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chrysolina quadrigemina (Suffrian, 1851)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 671 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008373-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3s5r4p
title: Occurrence Download

description: A dataset containing 704 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Ischnochiton striolatus (Gray, 1828)"
 ]
}

 The dataset includes 704 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008375-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5285/f51a1a39-4a1e-4980-8279-369cbb41af1a
title: Broadband seismic data from the Askja Caldera, Iceland, August 2023-August 2024

description: This dataset comprises broadband seismic data from the Askja Caldera, Iceland, which consists of ~12 months of continuous recording from August 2023-August 2024. A total of 23 Guralp 6TD and Certimus seismometers were deployed in and around  the ~8km diameter caldera, with sampling rates set to 100sps. Each seismometer was buried ~30cm below the surface, and attached to a power supply consisting of 3 100Amp-hour batteries and 100 W solar panels mounted on a wooden frame. The batteries were placed in a box that sat on the supports of the solar panel frame to act as ballast, and wrapped in a plastic sheet. A GPS unit was mounted on the solar panel frame. Access to most stations is by foot, and installation was undertaken either by carrying the equipment on foot or by helicopter.
The dataset provided is in standard miniseed format, and has an accompanying dataless file for each instrument type in xml format. The  miniseed data is archived in day files under the directories "2023" and "2024", while the xml files are located in the directory "dataless".
The data is of good quality, with both local earthquakes and teleseisms easily detected. The data were collected for the purposes of tracking microseismic activity associated with the recent reinflation event at Aska, and to help facilitate seismic imaging beneath the caldera using both body and surface wave tomography. The data may be of use to other scientists with an interest in earthquake seismology, imaging, and characterisation of geothermal areas near active volcanoes.
The data were collected by the University of Iceland and University of Cambridge, both of who are responsible for interpretation of the data. The archive is complete as it currently stands.
The data were converted into miniseed using a standard format that is consistent with archives stored at the IRIS DMC.
DOI: 10.24382/bcbb-vc12
title: DUPLICATE XBeach-G model simulation of 2.5-m sea-level rise on sand and gravel coral reef island
DOI: 10.15468/dl.ade64k
title: Occurrence Download

description: A dataset listing the 14 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((1.4 52.6,1.5 52.6,1.5 52.7,1.4 52.7,1.4 52.6))",
 "HasCoordinate is true",
 "TaxonKey is one of (Rhinolophus hipposideros (Bechstein, 1800), Myotis mystacinus (Kuhl, 1817), Cervus elaphus Linnaeus, 1758, Asio otus (Linnaeus, 1758), Triturus cristatus (Laurenti, 1768), Bufo bufo (Linnaeus, 1758), Pipistrellus pipistrellus (Schreber, 1774), Meles meles (Linnaeus, 1758), Lutra lutra (Linnaeus, 1758), Araneus diadematus Clerck, 1757, Erinaceus europaeus Linnaeus, 1758, Apodemus sylvaticus (Linnaeus, 1758), Cornu aspersum (O.F.Müller, 1774), Lampyris noctiluca (Linnaeus, 1758), Strix aluco Linnaeus, 1758)"
 ]
}

 The dataset's 14 records were derived from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008371-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5z892t0z
title: MassIVE MSV000097321 - Label-free quantitative proteomics (LFQ) of Giardia lamblia/intestinalis treated with Dasatinib
title: This study employed quantitative label-free proteomics to investigate the molecular effects of dasatinib, a repurposed drug, on Giardia lamblia, a protozoan parasite causing giardiasis. G. lamblia trophozoites were treated with 12.5 micromolar dasatinib, and protein expression changes were analyzed at 24, 30, 36, and 42 hours post-treatment.
DOI: 10.15468/dl.es8mdb
title: Occurrence Download

description: A dataset containing 444 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Saxifraga petraea L."
 ]
}

 The dataset includes 444 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008376-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bzr9tf
title: Occurrence Download

description: A dataset containing 368 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Saxifraga paradoxa Sternb."
 ]
}

 The dataset includes 368 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008377-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/11028915
title: World Weather Repository ( Daily Updating )
DOI: 10.15468/dl.hwjdvc
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Macrosiphoniella antennata Holman & Szelegiewicz, 1978",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008379-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.24382/pr8p-g562
title: Phil Trans R Soc A dataset
DOI: 10.34810/data46/1
title: Liver_expressions.tab

description: :unav
DOI: 10.34810/data46/2
title: High-protein_group(HP).xls

description: :unav
DOI: 10.34810/data46/3
title: High-lipid_group (HF).xls

description: :unav
DOI: 10.34810/data46/4
title: Plasma_values.tab

description: :unav
DOI: 10.34810/data46/5
title: Control_and_cafeteria_groups.xls

description: :unav
DOI: 10.34810/data46/6
title: Readme.txt

description: :unav
DOI: 10.15468/dl.3xpq9a
title: Occurrence Download

description: A dataset containing 144 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((6.95725 46.2961,6.95519 46.2955,6.94977 46.29151,6.95767 46.28639,6.96308 46.28837,6.95725 46.2961))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 144 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008380-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rcmpnu
title: Occurrence Download

description: A dataset containing 377 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Acorus tatarinowii Schott"
 ]
}

 The dataset includes 377 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008384-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q4fa5f
title: Occurrence Download

description: A dataset containing 5446 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Grus japonensis (Statius Muller, 1776)"
 ]
}

 The dataset includes 5446 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008383-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4xwvjb
title: Occurrence Download

description: A dataset containing 76465 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lonchura atricapilla (Vieillot, 1807))",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 76465 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008370-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.