cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17299285
title: Dataset for Efficient Optimization of COHERENT Detector Design Parameters With the Rare Event Surrogate Model

description: This dataset contains the training and validation data for the ML4PS @ NeurIPS 2025 conference paper: Efficient optimization of COHERENT detector design parameters with the Rare Event Surrogate Model

Coherent elastic neutrino-nucleus scattering (CENS) is a weak neutral-current process in which a neutrino scatters off of a nucleus as a whole. Following an initial observation by the COHERENT collaboration in 2017, the next-generation COH-Ar-750 detector is being developed to measure CENS with percent-level precision and probe for physics beyond the Standard Model. A primary design challenge is mitigating neutron backgrounds from the Spallation Neutron Source (SNS) at Oak Ridge National Laboratory (ORNL), as neutron-induced nuclear recoils produce signals that are nearly indistinguishable from CENS. The detector's veto system combines passive shielding using lead and water blocks with active shielding using plastic scintillator panels. Because neutrons have a low probability of depositing energy in the active liquid argon volume, extensive Monte Carlo event simulations are required to optimize the arrangement of these shielding materials. In this work, we addressed this challenge with a Rare Event Surrogate Model (RESuM) to optimize the shielding design for COH-Ar-750. RESuM integrates a Conditional Neural Process (CNP) with a Multi-Fidelity Gaussian Process (MFGP) to reduce the need for expensive simulations. Our experimental results suggested thicker water shielding and thinner veto panels increase neutron rejection efficiency, with RESuM achieving a correlation coefficient of r=0.880 and well-calibrated uncertainties. This work demonstrates that RESuM has the potential to accelerate the design optimization of a broad range of rare event search experiments.
DOI: 10.5281/zenodo.17299286
title: Dataset for Efficient Optimization of COHERENT Detector Design Parameters With the Rare Event Surrogate Model

description: This dataset contains the training and validation data for the ML4PS @ NeurIPS 2025 conference paper: Efficient optimization of COHERENT detector design parameters with the Rare Event Surrogate Model

Coherent elastic neutrino-nucleus scattering (CENS) is a weak neutral-current process in which a neutrino scatters off of a nucleus as a whole. Following an initial observation by the COHERENT collaboration in 2017, the next-generation COH-Ar-750 detector is being developed to measure CENS with percent-level precision and probe for physics beyond the Standard Model. A primary design challenge is mitigating neutron backgrounds from the Spallation Neutron Source (SNS) at Oak Ridge National Laboratory (ORNL), as neutron-induced nuclear recoils produce signals that are nearly indistinguishable from CENS. The detector's veto system combines passive shielding using lead and water blocks with active shielding using plastic scintillator panels. Because neutrons have a low probability of depositing energy in the active liquid argon volume, extensive Monte Carlo event simulations are required to optimize the arrangement of these shielding materials. In this work, we addressed this challenge with a Rare Event Surrogate Model (RESuM) to optimize the shielding design for COH-Ar-750. RESuM integrates a Conditional Neural Process (CNP) with a Multi-Fidelity Gaussian Process (MFGP) to reduce the need for expensive simulations. Our experimental results suggested thicker water shielding and thinner veto panels increase neutron rejection efficiency, with RESuM achieving a correlation coefficient of r=0.880 and well-calibrated uncertainties. This work demonstrates that RESuM has the potential to accelerate the design optimization of a broad range of rare event search experiments.
DOI: 10.15468/dl.sewhy2
title: Occurrence Download

description: A dataset containing 1357 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Poecilia formosa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1357 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064267-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48579/pro/0wks9z
title: Dental Microwear Textures of Modern Pigs from the Geophagy Hypothesis Experimentation

description: Read me - Dental Microwear Textures of Modern Pigs from the Geophagy Hypothesis Experimentation Margot LOUAIL and Gildas MERCERON This dataset contains dental microwear surfaces on crushing (f9, f10, f12, f13) and shearing (f1, f3, f4) facets on upper decidual premolars either right (dex) or left (sen) of controlled fed pigs at the GenESI Station at the Lusignan-Rouillé INRAe station, Nouvelle Aquitaine, France. Details are given in Louail et al. (2025). Here are provided three different files for each specimen: • Plu files: these files are the raw data extracted from the Leica DCM8 “Trident” stored at the PALEVOPRIM lab. Plµx files are also provided. • Mnt files: these files include all pre-treatments ran on the Plu files. We batch-applied with a template on the Plu files. In a few cases, we adjusted the settings manually. All changes were saved in the mnt. • Sur files: these files are the final studiables issued the mnt files. This is the data on which we can extract texture parameters. A template is provided: • Zinv200+ 100: this template is applied on the plux files obtained from dental molds, meaning the plux reproduces an inversed relief of the dental texture. A Z inverse operator is included in the template. 200 makes reference to the extraction of a 200x200 µm area and 100 to a 100x100 µm area on which analysis are run. PDF version of the template is provided so one could generate the very same procedures using open free software. Each facet was scanned using “TRIDENT”, a Leica DCM8 (Leica Microsystem) white light confocal profilometer housed at the PALEVOPRIM lab (CNRS and University of Poitiers; numerical aperture: 0.90; working distance: 0.9 mm; Leica Microsystems). Scanned surfaces were pre-treated under LeicaMap v. 8.0 (Leica Microsystems, Mountain technology; see Merceron et al., 2016 including SI for more details). A 200 × 200 μm (1551 × 1551 pixels) leveled area was generated from each surface and used for Dental Microwear Texture Analysis. Louail, M., Souron, A., Ferchaud, S., Merceron, G., 2025. Controlled and natural geophagy: how mineral particle consumption impacts dental microwear textures in pigs. Journal of Archeological Method and Theory Merceron, G., Ramdarshan, A., Blondel, C., Boisserie, J. R., Brunetiere, N., Francisco, A., ... & Pret, D. (2016). Untangling the environmental from the dietary: dust does not matter. Proceedings of the Royal Society B: Biological Sciences, 283(1838), 20161032. https://royalsocietypublishing.org/doi/pdf/10.1098/rspb.2016.1032
DOI: 10.15468/dl.8f5gva
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dalbergia obcordata"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064270-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vrxxpd
title: Occurrence Download

description: A dataset containing 345 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pourthiaea lucida)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 345 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064268-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vnkuwj
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Magnolia campbellii",
 "Country is Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064269-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qacypd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ciconiiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((90 -90,120 -90,120 -60,90 -60,90 -90))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064271-250920141307145/datasets/export for details.
DOI: 10.15468/dl.kkrk35
title: Occurrence Download

description: A dataset containing 251296 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Polynoidae"
 ]
}

 The dataset includes 251296 records from 802 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064190-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cmfs24
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ciconiiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((60 -90,90 -90,90 -60,60 -60,60 -90))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064272-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8k9f69
title: Occurrence Download

description: A dataset containing 36549 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Suliformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-30 0,0 0,0 30,-30 30,-30 0))"
 ]
}

 The dataset includes 36549 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064273-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21979/n9/uj3uce
title: Related Data for: Spatiotemporal Trends of Compound Weather and Climate Extremes and Their Impacts in Southeast Asia from 1983 to 2022

description: This dataset contains the identified compound extreme days across Southeast Asia (10S-30N, 90-130E) for the period 1983-2022. It includes concurrent precipitation and wind extremes (CPWEs), concurrent dry spell and heat extremes (DSHEs), and humid heatwave extremes (HHWEs). These events were identified using three reanalysis datasets (ERA5, JRA-55, and MERRA-2) and a combination of fixed-value and percentile-based thresholds (see README.txt for details). All files are in NetCDF (Network Common Data Form) format.
DOI: 10.15468/dl.8s5wnn
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "OccurrenceStatus is Present",
 "TaxonKey is Rubroboletus dupainii",
 "Year 1985-1995"
 ]
}

 The dataset includes 28 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064274-250920141307145/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/13308469
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.6n2z9r
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Magnolia delavayi",
 "Country is Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064275-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17300924
title: MM-OPERA

description: This dataset is hosted on Hugging Face at: https://huggingface.co/datasets/titic/MM-OPERA.
DOI: 10.5281/zenodo.17300923
title: MM-OPERA

description: This dataset is hosted on Hugging Face at: https://huggingface.co/datasets/titic/MM-OPERA.
DOI: 10.15468/dl.fa9uxc
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ciconiiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((30 -90,60 -90,60 -60,30 -60,30 -90))"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064276-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jd8cxx
title: Occurrence Download

description: A dataset containing 868 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Photinia prunifolia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 868 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064277-250920141307145/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.30315688
title: Kinetochore protein HyPhy tests in the Jamesozyma genus

description: json files for the aBSREL tests for each kinetochore protein in the Jamesozyma genus, with additional contrast-FEL test for CBF1.
DOI: 10.6084/m9.figshare.30315688.v1
title: Kinetochore protein HyPhy tests in the Jamesozyma genus

description: json files for the aBSREL tests for each kinetochore protein in the Jamesozyma genus, with additional contrast-FEL test for CBF1.
DOI: 10.5281/zenodo.17299063
title: Disney Hotstar Reviews (Play Store)
DOI: 10.5281/zenodo.15137316
title: Tabla III. - Listado de especies que han sido citadas para León sin presentar datos concretos, ni de localidad, ni de fecha, en los trabajos de PÉREZ DE-GREGORIO et al. (2001), REDONDO et al. (2009) y VEGA-ESCANDÓN (1983). Dentro de cada familia las diferentes especies han sido ordenadas alfabéticamente. in Catálogo actualizado y nuevos datos de los macroheteróceros de la provincia de León (NO España), VIII (Insecta: Lepidoptera)

description: Tabla III.- Listado de especies que han sido citadas para León sin presentar datos concretos, ni de localidad, ni de fecha, en los trabajos de PÉREZ DE-GREGORIO et al. (2001), REDONDO et al. (2009) y VEGA-ESCANDÓN (1983). Dentro de cada familia las diferentes especies han sido ordenadas alfabéticamente.
HEPIALIDAEEREBIDAEPharmacis pyrenaicus (Donzel, 1838)Eublemma scitula Rambur, 1833Lygephila pastinum (Treitschke, 1826)COSSIDAENudaria mundana (Linnaeus, 1758)Parahypopta caestrum (Hübner, 1808)Odice arcuinna (Hübner, 1793)Odice jucunda (Hübner, 1813)SESIIDAEOdice suava (Hübner, 1813)Synanthedon tipuliformis (Clerck, 1759)Orgya dubia (Tauscher, 1806)Orgyia trigotephras Boisduval, 1828THYRIDIDAEThyris fenestrella (Scopoli, 1763)NOCTUIDAEAgrotis vestigialis (Hufnagel, 1766)LASIOCAMPIDAEAlvaradoia disjecta (Rothschild, 1920)Pachypasa limosa (Serres, 1826)Amephana aurita (Fabricius, 1787)Amphipoea oculea (Linnaeus, 1761)GEOMETRIDAECerapteryx graminis (Linnaeus, 1758)Campaea honoraria (Denis & Schiffermüller, 1775)Chersotis ocellina ([Denis & Schiffermüller], 1775)Cyclophora pendularia (Clerck, 1759)Cosmia pyralina (Denis & Schiffermüller, 1775)Eupithecia absinthiata (Clerck, 1759)Cucullia lactucae ([Denis & Schiffermüller], 1775)Eupithecia plumbeolata (Haworth, 1809)Diachrysis chryson (Esper, 1789)Ligdia adustata (Denis & Schiffermüller, 1775)Epipsilia latens (Hübner, 1809)Lomographa bimaculata (Fabricius, 1775)Euxoa hastifera (Donzel, 1847)Parectropis similaria (Hufnagel, 1767)Gortyna xanthenes (Germar, 1842)Scopula floslactata (Haworth, 1809)Ochropleura flammatra (Denis & Schiffermüller, 1775)Thetidia plusiaria (Boisduval, 1840)Periphanes delphinii (Linnaeus, 1758)Zernyia granataria (Staudinger, 1871)Sesamia nonagrioides (Lefebvre, 1827)NOTODONTIDAENeoharpya verbasci (Fabricius, 1798)
description: Published as part of Manceñido-González, David César, 2024, Catálogo actualizado y nuevos datos de los macroheteróceros de la provincia de León (NO España), VIII (Insecta: Lepidoptera), pp. 23 in Arquivos Entomolóxicos 28 on page 23, DOI: 10.5281/zenodo.11372884
DOI: 10.15468/dl.kzhcvn
title: Occurrence Download

description: A dataset containing 114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tinospora bakis (A.Rich.) Miers",
 "Continent is Africa"
 ]
}

 The dataset includes 114 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005789-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tf5429
title: Occurrence Download

description: A dataset containing 1007 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cricetulus longicaudatus (Milne-Edwards, 1867)"
 ]
}

 The dataset includes 1007 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005790-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.epdbt4
title: Occurrence Download

description: A dataset containing 206 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Austromuellera trinervia",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 206 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011712-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18483063
title: updated disdrometer and GPM data for "Observed universal continuum morphology of raindrops"

description: updated disdrometer and GPM data for "Observed universal continuum morphology of raindrops"
DOI: 10.5281/zenodo.18483062
title: updated disdrometer and GPM data for "Observed universal continuum morphology of raindrops"

description: updated disdrometer and GPM data for "Observed universal continuum morphology of raindrops"
DOI: 10.15468/dl.gx98ss
title: Occurrence Download

description: A dataset containing 6823 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fragaria chiloensis",
 "BasisOfRecord is one of (Specimen, Human Observation, Occurrence evidence, Material sample)",
 "HasCoordinate is true",
 "Country is one of (Canada, United States of America, Mexico)"
 ]
}

 The dataset includes 6823 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011715-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mfkkch
title: Occurrence Download

description: A dataset containing 34903 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carpobrotus edulis"
 ]
}

 The dataset includes 34903 records from 372 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011714-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18482447
title: SuperDARN data in netCDF format (2012-Jul)

description: 2012-Jul SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6520025
title: SuperDARN data in netCDF format (2012-Jul)

description: 2012-Jul SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'