cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48322/j3tm-5649
title: A list of CMEs and flows detected by CACTus in qkl data

description: The catalog of autonomously detected Flows (Flows are suspicious detections) in image sequences from LASCO (Large Angle Spectrometric Coronagraph). The crux of the software is the detection of CMEs as bright ridges in (time, height) maps using the Hough transform. The next step employs clustering and morphological closing operations to mark out different CMEs. The output is a list of events, similar to the classic catalogs, with starting time, principle angle, angular width and velocity estimation for each CME. In contrast to catalogs assembled by human operators, these CME detections can be done without any human interference on real-time data 24 h per day (see http://sidc.oma.be/cactus for the real-time output with data covering the last 4 days). Therefore the detection is not only more immediate, but, more importantly, also more objective. Experimental results on real-time data show that the developed technique can achieve excellent results in measuring starting time and principal angle and good results for the angular width and velocity measurement compared to the CMEs listed in the catalog. Its overall success rate is presently about 94%.
DOI: 10.48322/annt-cr37
title: A list of CMEs detected by CACTus in qkl data

description: The catalog of autonomously detected CMEs in image sequences from LASCO (Large Angle Spectrometric Coronagraph). The crux of the software is the detection of CMEs as bright ridges in (time, height) maps using the Hough transform. The next step employs clustering and morphological closing operations to mark out different CMEs. The output is a list of events, similar to the classic catalogs, with starting time, principle angle, angular width and velocity estimation for each CME. In contrast to catalogs assembled by human operators, these CME detections can be done without any human interference on real-time data 24 h per day (see http://sidc.oma.be/cactus for the real-time output with data covering the last 4 days). Therefore the detection is not only more immediate, but, more importantly, also more objective. Experimental results on real-time data show that the developed technique can achieve excellent results in measuring starting time and principal angle and good results for the angular width and velocity measurement compared to the CMEs listed in the catalog. Its overall success rate is presently about 94%.
DOI: 10.25346/s6/7lo4t2/ayxt7n
title: msXV_128r_47_33.tif
DOI: 10.48322/px7k-xg93
title: A list of CMEs detected by CACTus in lz data

description: The catalog of autonomously detected CMEs in image sequences from LASCO (Large Angle Spectrometric Coronagraph). The crux of the software is the detection of CMEs as bright ridges in (time, height) maps using the Hough transform. The next step employs clustering and morphological closing operations to mark out different CMEs. The output is a list of events, similar to the classic catalogs, with starting time, principle angle, angular width and velocity estimation for each CME. In contrast to catalogs assembled by human operators, these CME detections can be done without any human interference on real-time data 24 h per day (see http://sidc.oma.be/cactus for the real-time output with data covering the last 4 days). Therefore the detection is not only more immediate, but, more importantly, also more objective. Experimental results on real-time data show that the developed technique can achieve excellent results in measuring starting time and principal angle and good results for the angular width and velocity measurement compared to the CMEs listed in the catalog. Its overall success rate is presently about 94%.
DOI: 10.25346/s6/7lo4t2/di1rmy
title: msXV_128r_47_32.tif
DOI: 10.48322/p3dh-zt17
title: CACTus LASCO level zero CME catalog

description: The catalog of autonomously detected CMEs in image sequences from LASCO (Large Angle Spectrometric Coronagraph). The crux of the software is the detection of CMEs as bright ridges in (time, height) maps using the Hough transform. The next step employs clustering and morphological closing operations to mark out different CMEs. The output is a list of events, similar to the classic catalogs, with starting time, principle angle, angular width and velocity estimation for each CME. In contrast to catalogs assembled by human operators, these CME detections can be done without any human interference on real-time data 24 h per day (see http://sidc.oma.be/cactus for the real-time output with data covering the last 4 days). Therefore the detection is not only more immediate, but, more importantly, also more objective. Experimental results on real-time data show that the developed technique can achieve excellent results in measuring starting time and principal angle and good results for the angular width and velocity measurement compared to the CMEs listed in the catalog. Its overall success rate is presently about 94%.
DOI: 10.48322/x6vk-4a70
title: A list of CMEs and flows detected by CACTus in qkl data

description: The catalog of autonomously detected Flows (Flows are suspicious detections) in image sequences from LASCO (Large Angle Spectrometric Coronagraph). The crux of the software is the detection of CMEs as bright ridges in (time, height) maps using the Hough transform. The next step employs clustering and morphological closing operations to mark out different CMEs. The output is a list of events, similar to the classic catalogs, with starting time, principle angle, angular width and velocity estimation for each CME. In contrast to catalogs assembled by human operators, these CME detections can be done without any human interference on real-time data 24 h per day (see http://sidc.oma.be/cactus for the real-time output with data covering the last 4 days). Therefore the detection is not only more immediate, but, more importantly, also more objective. Experimental results on real-time data show that the developed technique can achieve excellent results in measuring starting time and principal angle and good results for the angular width and velocity measurement compared to the CMEs listed in the catalog. Its overall success rate is presently about 94%.
DOI: 10.25346/s6/7lo4t2/ezyeuy
title: msXV_128r_47_31.tif
DOI: 10.48322/bx8g-5m46
title: A list of CMEs and flows detected by CACTus in lz data

description: The catalog of autonomously detected Flows (Flows are suspicious detections) in image sequences from LASCO (Large Angle Spectrometric Coronagraph). The crux of the software is the detection of CMEs as bright ridges in (time, height) maps using the Hough transform. The next step employs clustering and morphological closing operations to mark out different CMEs. The output is a list of events, similar to the classic catalogs, with starting time, principle angle, angular width and velocity estimation for each CME. In contrast to catalogs assembled by human operators, these CME detections can be done without any human interference on real-time data 24 h per day (see http://sidc.oma.be/cactus for the real-time output with data covering the last 4 days). Therefore the detection is not only more immediate, but, more importantly, also more objective. Experimental results on real-time data show that the developed technique can achieve excellent results in measuring starting time and principal angle and good results for the angular width and velocity measurement compared to the CMEs listed in the catalog. Its overall success rate is presently about 94%.
DOI: 10.15468/dl.zy7j5r
title: Occurrence Download

description: A dataset containing 2134 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phedimus kamtschaticus"
 ]
}

 The dataset includes 2134 records from 147 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035225-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48322/jc0f-fa67
title: CACTus LASCO quicklook CME catalog

description: The catalog of autonomously detected CMEs in image sequences from LASCO (Large Angle Spectrometric Coronagraph). The crux of the software is the detection of CMEs as bright ridges in (time, height) maps using the Hough transform. The next step employs clustering and morphological closing operations to mark out different CMEs. The output is a list of events, similar to the classic catalogs, with starting time, principle angle, angular width and velocity estimation for each CME. In contrast to catalogs assembled by human operators, these CME detections can be done without any human interference on real-time data 24 h per day (see http://sidc.oma.be/cactus for the real-time output with data covering the last 4 days). Therefore the detection is not only more immediate, but, more importantly, also more objective. Experimental results on real-time data show that the developed technique can achieve excellent results in measuring starting time and principal angle and good results for the angular width and velocity measurement compared to the CMEs listed in the catalog. Its overall success rate is presently about 94%.
DOI: 10.25346/s6/7lo4t2/iednsy
title: msXV_128r_47_30.tif
DOI: 10.21978/p8pp8x
title: Spherical Elementary Current (SEC) Amplitudes derived using the Spherical Elementary Currents Systems (SECS) technique at 10 sec Resolution in Geographic Coordinates

description: The Spherical Elementary Current (SEC) Amplitudes data set contains spherical elementary current amplitude data (J) derived using the SECS technique [Amm and Viljanen, Earth Planets Space, v. 51 pp. 431-440, 1999]. The location of these currents is in geographic coordinates at 10s resolution. The distribution of these currents is not the same as the equivalent ionospheric currents. The UT and date are obtained from the file name. For more information see Weygand et al. J. Geophys. Res. 116, A03305, doi:10.1029/2010JA016177, 2011.
DOI: 10.25346/s6/7lo4t2/cnpyla
title: msXV_128r_47_29.tif
DOI: 10.21978/p8d62b
title: Equivalent Ionospheric Currents (EICs) derived using the Spherical Elementary Currents Systems (SECS) technique at 10 sec Resolution in Geographic Coordinates

description: The Equivalent Ionospheric Currents (EICs) data set contains horizontal ionospheric current data (Jx and Jy) derived using the SECS technique [Amm and Viljanen, Earth Planets Space, v. 51 pp. 431-440, 1999]. Positive Jx points to the geographic north pole. Positive Jy points to geographic east. The location of these currents is in geographic coordinates at 10s resolution. The distribution of these currents is not the same as the spherical elementary current amplitudes. The UT and date are obtained from the file name. For more information see Weygand et al. J. Geophys. Res. 116, A03305, doi:10.1029/2010JA016177, 2011.
DOI: 10.25346/s6/7lo4t2/sfjbfy
title: msXV_128r_47_28.tif
DOI: 10.6084/m9.figshare.28746110
title: Different Brands of Strong-Flavor Baijiu Identified Using Gas Chromatography-Mass Spectrometry and Near-Infrared Spectroscopy

description: Chinese strong-flavor baijiu brands are categorized into Sichuan, Jianghuai, and Beifang styles based on their regional origins. However, no systematic method exists to identify the different styles. Here, we identified different substances based on trace components and determined the similarities and differences among the different styles. We used multi-solvent liquid–liquid extraction combined with gas chromatography-mass spectrometry to detect trace components in strong-flavor baijiu. Near-infrared spectroscopy combined with three algorithms (extreme learning machine, partial least squares-discriminant analysis, and support vector machine) was used to classify the three styles of strong-flavor baijiu. Twenty-eight substances that may contribute to the individuality and generality of the three baijiu styles were identified. The prediction accuracy of the three models was more than 80%. Near-infrared spectroscopy data combined with chemometrics has great application value for rapidly identifying different baijiu brands. This method also shows potential for use in the authentication of different baijiu styles.
DOI: 10.6084/m9.figshare.28746110.v1
title: Different Brands of Strong-Flavor Baijiu Identified Using Gas Chromatography-Mass Spectrometry and Near-Infrared Spectroscopy

description: Chinese strong-flavor baijiu brands are categorized into Sichuan, Jianghuai, and Beifang styles based on their regional origins. However, no systematic method exists to identify the different styles. Here, we identified different substances based on trace components and determined the similarities and differences among the different styles. We used multi-solvent liquid–liquid extraction combined with gas chromatography-mass spectrometry to detect trace components in strong-flavor baijiu. Near-infrared spectroscopy combined with three algorithms (extreme learning machine, partial least squares-discriminant analysis, and support vector machine) was used to classify the three styles of strong-flavor baijiu. Twenty-eight substances that may contribute to the individuality and generality of the three baijiu styles were identified. The prediction accuracy of the three models was more than 80%. Near-infrared spectroscopy data combined with chemometrics has great application value for rapidly identifying different baijiu brands. This method also shows potential for use in the authentication of different baijiu styles.
DOI: 10.25346/s6/7lo4t2/o8wjqy
title: msXV_128r_47_27.tif
DOI: 10.25346/s6/7lo4t2/i8ghaj
title: msXV_128r_47_26.tif
DOI: 10.15468/dl.xef6bt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oeceoclades maculata",
 "Country is Belize",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035228-250717081556266/datasets/export for details.
DOI: 10.25346/s6/7lo4t2/maqlhc
title: msXV_128r_47_25.tif
DOI: 10.25346/s6/7lo4t2/iwir0m
title: msXV_128r_31_24.tif
DOI: 10.15468/dl.uytz74
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lathyrus latifolius",
 "Country is Argentina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 51 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035229-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6/7lo4t2/hzykig
title: msXV_128r_31_23.tif
DOI: 10.48322/zqzr-rd66
title: Ionospheric Connection Explorer (ICON) Thermosphere Ionosphere Electrodynamics General Circulation Model (TIEGCM) Congeophy Model Product

description: Thermosphere Ionosphere Electrodynamics General Circulation Model (TIEGCM) L4-3 with Hough Mode Extension (HME) forcing.  The TIEGCM-CONGEOPHY output has constant geophysical drivers and the HME tides at the lower boundary. Specifically F10.7=F10.7a=71 sfu,  solar wind velocity  is 400 km/s, IMF By is 0 nT, IMF Bz is 1 nT and hemispheric power HP = 12 GW. The same auroral and ion convection  models are used as for the other TIEGCM simulations. The only difference is the constant geophysical forcing to the simulation with  tidal HME at the lower boundary. These metadata include both the model input data and model output data.
DOI: 10.25346/s6/7lo4t2/k9ytkz
title: msXV_128r_31_22.tif
DOI: 10.25346/s6/7lo4t2/ujytdb
title: msXV_128r_31_21.tif
DOI: 10.25346/s6/7lo4t2/td5jud
title: msXV_128r_31_20.tif
DOI: 10.25346/s6/7lo4t2/j8uzuc
title: msXV_128r_31_19.tif
DOI: 10.25346/s6/7lo4t2/gyu9wx
title: msXV_128r_31_18.tif
DOI: 10.25346/s6/7lo4t2/qedaxv
title: msXV_128r_31_17.tif
DOI: 10.25346/s6/7lo4t2/o8gktz
title: msXV_128r_31_16.tif
DOI: 10.25346/s6/7lo4t2/foyum4
title: msXV_128r_31_15.tif
DOI: 10.25346/s6/7lo4t2/haqoa5
title: msXV_128r_31_14.tif
DOI: 10.25346/s6/7lo4t2/dh20u2
title: msXV_128r_31_13.tif
DOI: 10.15468/dl.7tm7rx
title: Occurrence Download

description: A dataset containing 106487 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is Lythrum salicaria",
 "Continent is Europe",
 "Year is 1985,2020",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than 1000",
 {
 "not" : {
 "CoordinateUncertaintyInMeters" : [
 "is 301"
 ]
 }
 },
 {
 "not" : {
 "CoordinateUncertaintyInMeters" : [
 "is 999"
 ]
 }
 }
 ]
}

 The dataset includes 106487 records from 359 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035211-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fp0hqc
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070329-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9yaz87
title: Occurrence Download

description: A dataset containing 140787 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Milium L."
 ]
}

 The dataset includes 140787 records from 600 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009330-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ejxh35
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is one of (Colombia, Ecuador, Peru)",
 "TaxonKey is Cycnoches haagii Barb.Rodr."
 ]
}

 The dataset includes 20 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071755-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vgfo6v
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012758-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r0qpeh
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005566-160509122628363/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uzuj63
title: Occurrence Download

description: A dataset containing 62738 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Corynephorus P.Beauv."
 ]
}

 The dataset includes 62738 records from 350 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009338-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w6xbxa
title: Occurrence Download

description: A dataset containing 1256830839 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2013-2023"
 ]
}

 The dataset includes 1256830839 records from 13736 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0300641-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/pbk-mad-41f
title: Ceterach officinarum Willd.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/4g2-3zn-v0x
title: Ceterach officinarum Willd.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/9q0-km6-5ec
title: Cryptogramma crispa (L.) R. Br. ex Hook.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/jqq-1ch-el8
title: Botrychium lunaria (L.) Sw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/mz9-wph-jhv
title: Botrychium virginianum (L.) Sw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15156/bio/sh0173014.10fu
title: SH0173014.10FU

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: 10.15156/bio/sh0173015.10fu
title: SH0173015.10FU

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.