cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1405816.10fu
title: SH1405816.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.6084/m9.figshare.12635717
title: Sugarcane breeding population dataset from the Sugarcane Genetic Breeding Program (PMGCA) of the Universidade Federal de Viçosa (UFV).

description: This file contains the datasets of genomic, NIR spectra and BLUPs of two sugarcane traits (fiber and sucrose content) used to run the analyses performed in the article entitled "Near-infrared spectroscopy outperforms genomics for predicting sugarcane feedstock quality traits". In this study we aimed to evaluate the prediction performance of genomic and near-infrared spectroscopy (NIR) data and whether the integration of genomic and NIR predictor variables can increase the prediction accuracy of two feedstock quality traits (fiber and sucrose content) in a sugarcane population (Saccharum spp.).
DOI: 10.6084/m9.figshare.12635717.v1
title: Sugarcane breeding population dataset from the Sugarcane Genetic Breeding Program (PMGCA) of the Universidade Federal de Viçosa (UFV).

description: This file contains the datasets of genomic, NIR spectra and BLUPs of two sugarcane traits (fiber and sucrose content) used to run the analyses performed in the article entitled "Near-infrared spectroscopy outperforms genomics for predicting sugarcane feedstock quality traits". In this study we aimed to evaluate the prediction performance of genomic and near-infrared spectroscopy (NIR) data and whether the integration of genomic and NIR predictor variables can increase the prediction accuracy of two feedstock quality traits (fiber and sucrose content) in a sugarcane population (Saccharum spp.).
DOI: 10.6084/m9.figshare.12635717.v2
title: Sugarcane breeding population dataset from the Sugarcane Genetic Breeding Program (PMGCA) of the Universidade Federal de Viçosa (UFV).

description: This file contains the datasets of genomic, NIR spectra and BLUPs of two sugarcane traits (fiber and sucrose content) used to run the analyses performed in the article entitled "Near-infrared spectroscopy outperforms genomics for predicting sugarcane feedstock quality traits". In this study we aimed to evaluate the prediction performance of genomic and near-infrared spectroscopy (NIR) data and whether the integration of genomic and NIR predictor variables can increase the prediction accuracy of two feedstock quality traits (fiber and sucrose content) in a sugarcane population (Saccharum spp.).
DOI: 10.5281/zenodo.18670202
title: Ciona_GABA/Glutamate in Threat response
DOI: 10.5281/zenodo.18670203
title: Ciona_GABA/Glutamate in Threat response
DOI: 10.15468/dl.n4ycrv
title: Occurrence Download

description: A dataset containing 739 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "TaxonKey is Pagrus major"
 ]
}

 The dataset includes 739 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008170-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9n4edq
title: Occurrence Download

description: A dataset containing 95 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Allocapnia illinoensis"
 ]
}

 The dataset includes 95 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008171-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g9k3du
title: Occurrence Download

description: A dataset containing 23287 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE",
 "Geometry POLYGON((-100.551 36.917,-71.79 36.917,-71.79 49.612,-100.551 49.612,-100.551 36.917))",
 "Year is greater than or equal to 2024",
 "RecordedBy is one of (carolyarnell, Carolyn Brown, Carrie Seltzer, carriestaples, Carter Dorscht, Carya Cornell, Casey Bonds, Casey Harless, Cass Stabler, cass_evs, Cassidy Martin, Cassie Rangel, castin_cous, castlewood-plants, Cat Chang, cathykerr492, caylaburch, Cecil Smith, cecilglenwood, Cedar Schwab, ceph, cfm, Chace Scholten, Chad Greenlee, Charles Fisher, charlesgodbout, Charlotte Brennan, Chase Mathey, Chase Wilson, Chase Zobl, cheatmt, Chelsea Gottfried, chemist-1, Cherie Cornmesser, cherz13, Chia⚡aka Cory Chiappone, chl622, cholzapfel, Chris Chimaera, Chris Habeck, Chris Martine, Chris S., Chris Stahl, chris00, chris_syrett, Chrissy Gallo, Christa Wise, ChristianKustra, christiansenea, christine-lee)",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 23287 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008172-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/1n787c
title: Rutgers University, Chrysler Herbarium

description: The Chrysler Herbarium (CHRB) at Rutgers University is the last internationally recognized herbarium still in existence in the state of New Jersey (USA). Over 150,000 vascular plant and algal collections, about 7,000 moss and liverwort specimens, and 2,600 lichen specimens form our collection and are arranged and catalogued systematically. The collection is worldwide in scope, with an emphasis on New Jersey and the Mid-Atlantic area, and contains specimens back to the early 1800s. The Rutgers Mycological Herbarium (RUTPP), which is housed together with CHRB, has been estimated to contain more than 40,000 fungal collections, and has a strong focus on microfungi and plant pathogens. Dr. James White is the curator of the mycological collections, and Dr. Lena Struwe is the Director of the Chrysler Herbarium.
DOI: 10.17909/2ebx-1j66
title: Data from Cluster-based Star Formation History of The Late-Stage Merger NGC 34

description: The luminous infrared galaxy NGC 34 is a late-stage merger in the process of transitioning into an elliptical galaxy. Observations of NGC 34 taken with the Hubble Space Telescope in six filters – covering the near-ultraviolet, optical, and narrow-band Hα – reveal a few hundred star clusters throughout the system. We fit this multiband photometry with cluster evolution models to estimate the
age, reddening, and mass of each star cluster. We use their age and mass distributions to reconstruct the recent (<3 Gyr) star formation history (SFH) of NGC 34, which varies significantly across the galaxy. A global starburst began ≈400 Myr ago and halted abruptly ≈80 Myr ago, with an average star formation rate (SFR) of 23.8 ± 12.6 M⊙ yr−1. Following this global burst, star formation halted in all but the central 1 kpc. For the past 10 Myr, this nuclear region has experienced a more intense burst of star formation, with literature estimates on the order of ∼100 M⊙ yr−1. We suggest that the burst at 80 Myr coincides with the last close pericenter passage of the progenitors, while the current nuclear burst is the result of final coalescence. Comparing the details of NGC 34’s SFH to other transitioning galaxies indicates that there are a variety of pathways leading to the global cessation of star formation in major mergers. The global moderate burst, dip, intense central burst evolution of NGC 34’s star formation is strikingly similar to both more evolved systems, including the classical post-starburst galaxy S12 (∼100 Myr past final coalescence), and predictions from galaxy mergers in hydrodynamic26
simulations.
DOI: 10.15468/dl.msmkz5
title: Occurrence Download

description: A dataset listing the 564 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "Geometry POLYGON((-77.19475 45.23675,-77.16229 45.23675,-77.16229 45.24973,-77.19475 45.24973,-77.19475 45.23675))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 564 records were derived from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008144-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sbzpr9
title: Occurrence Download

description: A dataset containing 604 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "Country is one of (United States of America, United States Minor Outlying Islands, American Samoa, Micronesia (Federated States of), Guam, Marshall Islands, Northern Mariana Islands, Puerto Rico, Palau, Virgin Islands (U.S.))",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Eptesicus fuscus [GBIF Backbone Taxonomy])",
 "GadmGid is one of (USA.36_1)"
 ]
 }
 ]
}

 The dataset includes 604 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008177-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5vp4vr
title: Occurrence Download

description: A dataset containing 477 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "TaxonKey is Petrus rupestris"
 ]
}

 The dataset includes 477 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008178-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.raqpqp
title: Occurrence Download

description: A dataset containing 388 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Platypalpus major"
 ]
}

 The dataset includes 388 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008176-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wj38bk
title: Occurrence Download

description: A dataset containing 27391 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE",
 "Geometry POLYGON((-100.551 36.917,-71.79 36.917,-71.79 49.612,-100.551 49.612,-100.551 36.917))",
 "Year is greater than or equal to 2024",
 "RecordedBy is one of (Christophe Turcotte-van de Rydt, Christopher David Benda, Christopher Evans, christopher-g-harris, Chuck Cantley, Chuck Meyer, Chuck Williams, cigazze, cimiles, Cindy Clark, City of Bonner Springs, Kansas, Parks and Recreation Department, citystreamwatch, Claire Ciafré, claireayer, clairefern, clairefetterman, Claude ૐ, Claudie Bouffard, clearbrookmlb, Cliff Hirst, cmanias, cmeinhold, cmenker, cmidden, cmorien, codymitchell56, coffeenebula, Cole Guyton, Cole Tiemann, ColinDJones, Colleen, Collin Gross, Colton Johnstone, Connie, Connie McRill, Connor Bruemmer, Connor Gordon, Connor Nussbaum, Connor Ross, Constanza Ehrenhaus, Conway Hawn, coonnk192, courtneylaw1, cozzzzz, cpaillard, cperkin, crypbit, crystal, cs1651, csavvage)",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 27391 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008179-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qvvwcc
title: Occurrence Download

description: A dataset containing 1564 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Balaenoptera bonaerensis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1564 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008174-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wzbm23
title: Occurrence Download

description: A dataset containing 19571 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Balaenoptera borealis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 19571 records from 179 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008175-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.scakfx
title: Occurrence Download

description: A dataset containing 3194 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Phibalura flavirostris)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3194 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008180-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mymdeb
title: Occurrence Download

description: A dataset containing 2030 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "TaxonKey is Pterogymnus laniarius"
 ]
}

 The dataset includes 2030 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008181-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cqrepr
title: Occurrence Download

description: A dataset containing 24879 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE",
 "Geometry POLYGON((-100.551 36.917,-71.79 36.917,-71.79 49.612,-100.551 49.612,-100.551 36.917))",
 "Year is greater than or equal to 2024",
 "RecordedBy is one of (cshelham, csk27, Cynthia Bonnes, cynthia nocton, D Gordon E Robertson, d0ugh0ck, d1d2h1, Dale Kristensen, Dale Poulter, Dan Buckley, Dan Horowitz, Dan MacNeal, Dan Stevenson, Dan Stiver, dandd, dandelionmilker, Danick Poirier, Daniel Atha, Daniel Hinnebusch, Daniel Morton, Daniel Newell, Daniel Pohl, Daniel Spada, danielfnysparks, danikramer, danpatrick, darcy2020, dariamattis, Darien Fiorino, Darrell Parsons, darrellhance, Darryn-Claire, Daryl Coulson, daston445, Daughter Dad, Dave Eib, dave_bowne, davedawe, David DuBois, David H. Cox, David Jeffrey Ringer, David LaMagna, David M Robinson, David Matevosian, David P. Williams, David R Carnie, David Thomas Glover, David Weber, David Yeager, davidpickett)",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 24879 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008182-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vzbfxy
title: Occurrence Download

description: A dataset containing 1429 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "TaxonKey is Rhabdosargus globiceps"
 ]
}

 The dataset includes 1429 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008183-260221153910048/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/14951140
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.6bay75
title: Occurrence Download

description: A dataset containing 16976 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE",
 "Geometry POLYGON((-100.551 36.917,-71.79 36.917,-71.79 49.612,-100.551 49.612,-100.551 36.917))",
 "Year is greater than or equal to 2024",
 "RecordedBy is one of (Dawn Hughes, Dawn Sherman, dawson899, dbeach_hitwm, dbeadle, ddseyezoutalwayz, debbfinn, Debbie Urbanski, Deborah E Barber, Deborah Mosher, debra naha, deedee20tw, deeviousjay, demianl64, dendrol, Dennis W. Nyberg, Derek, Derek Dunnett, Derek Duplessis, Derek Shea, Derek Ziomber, dessito, Devin Floyd, Dexter Wright, dfoxmi, Diana Fitzgerald, Diana Handy, Dillon Freiburger, djtpoli42, dmarymac, dmlane, dnedbals, doldro796, Dominic DiGregorio, Dominic Gerardi, dominicentomology, dominiquegervais, Don LeBaige, Don Sutherland, Donald Meier, donnakurk, Doug Gilbert, Doug McWhirter, Doug Peterson, dougblaine-gmail-com, downgoesigby, Dr. Brigette Zacharczenko, drake172, drdonhaas, drj823)",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 16976 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008184-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9fg4xg
title: Occurrence Download

description: A dataset containing 962 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "TaxonKey is Lithognathus lithognathus"
 ]
}

 The dataset includes 962 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008185-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aasanq
title: Occurrence Download

description: A dataset containing 1109242 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Belgium, Germany, Netherlands)",
 "TaxonKey is one of (Ondatra zibethicus, Myocastor coypus)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1109242 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008124-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18613986
title: InQMAD: Incremental Quantum Measurement Anomaly Detection Dataset

description: This dataset contains all the necessary files for testing the InQMAD: Incremental Quantum Measurement Anomaly Detection in github https://github.com/Joaggi/INQMAD-Incremental-Anomaly-Detection-using-Quantum-Measurements

 

Abstract Paper: 

Streaming anomaly detection refers to the problem of detecting anomalous data samples in streams of data. This problem poses challenges that classical and deep anomaly detection methods are not designed to cope with, such as conceptual drift and continuous learning. State-of-the-art flow anomaly detection methods rely on fixed memory using hash functions or nearest neighbors that may not be able to constrain high frequency values or remove seamless outliers and cannot be trained in an end-to-end deep learning architecture. We present a new incremental anomaly detection method that performs continuous density estimation based on random Fourier features and the mechanism of quantum measurements and density matrices. The method continuously updates the estimation of the density of normal samples, giving more importance to new samples and decreasing the importance of older samples. It can process potentially endless data and its update complexity is constant O(1). A systematic evaluation against 12 state-of-the-art streaming anomaly detection algorithms and using 12 streaming datasets is presented.
DOI: 10.5281/zenodo.18613985
title: InQMAD: Incremental Quantum Measurement Anomaly Detection Dataset

description: This dataset contains all the necessary files for testing the InQMAD: Incremental Quantum Measurement Anomaly Detection in github https://github.com/Joaggi/INQMAD-Incremental-Anomaly-Detection-using-Quantum-Measurements

 

Abstract Paper: 

Streaming anomaly detection refers to the problem of detecting anomalous data samples in streams of data. This problem poses challenges that classical and deep anomaly detection methods are not designed to cope with, such as conceptual drift and continuous learning. State-of-the-art flow anomaly detection methods rely on fixed memory using hash functions or nearest neighbors that may not be able to constrain high frequency values or remove seamless outliers and cannot be trained in an end-to-end deep learning architecture. We present a new incremental anomaly detection method that performs continuous density estimation based on random Fourier features and the mechanism of quantum measurements and density matrices. The method continuously updates the estimation of the density of normal samples, giving more importance to new samples and decreasing the importance of older samples. It can process potentially endless data and its update complexity is constant O(1). A systematic evaluation against 12 state-of-the-art streaming anomaly detection algorithms and using 12 streaming datasets is presented.