cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.65pf4m
title: Occurrence Download

description: A dataset containing 395 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aeschynanthus tricolor"
 ]
}

 The dataset includes 395 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018040-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kbrt2c
title: Occurrence Download

description: A dataset containing 41696 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lonicera japonica",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 41696 records from 164 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018039-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bnnjbx
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euglandina rosea",
 "Country is Mauritius",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018044-250717081556266/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/12525911
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.c88vw2
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018043-250717081556266/datasets/export for details.
DOI: 10.15468/dl.scvmxs
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:AEH7580"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018042-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4gar6n
title: Occurrence Download

description: A dataset containing 4404 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cervus elaphus",
 "Country is Estonia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4404 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018045-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m5yt6h
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018046-250717081556266/datasets/export for details.
DOI: 10.15468/dl.ykdt2f
title: Occurrence Download

description: A dataset containing 3736 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Desmodium"
 ]
}

 The dataset includes 3736 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018047-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ydrt35
title: Occurrence Download

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

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018048-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d4nujm
title: Occurrence Download

description: A dataset containing 494 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aeschynomene denticulata"
 ]
}

 The dataset includes 494 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018049-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2h6fbe
title: Occurrence Download

description: A dataset containing 5845404 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Motacilla alba"
 ]
}

 The dataset includes 5845404 records from 5655 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017961-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ns7kh9
title: Occurrence Download

description: A dataset containing 16316 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gentianopsis ciliata, Gentiana ciliata, Gentiana ciliata, Gentiana ciliata, Gentiana ciliata, Gentianella ciliata)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 16316 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015226-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18500608
title: Curated_mamadroid_dataset

description: To replicate dataset on MaMaDroid feature, we follow MaMaDroid paper titled: "MaMaDroid: Detecting Android Malware by Building Markov Chains of Behavioral Models". To reproduce dataset using MaMaDroid feature, we utilize one the github repository (link: https://github.com/Sp1keeeee/MaMadroid.git).

APK collection: We collection APKs from AndroZoo using API key provided by AndroZoo. We utilize LAMDA APK hashes to create the curated MaMaDroid dataset where they work on Drebin feature and provided sha256 for each of the APKs.
DOI: 10.5281/zenodo.18500609
title: Curated_mamadroid_dataset

description: To replicate dataset on MaMaDroid feature, we follow MaMaDroid paper titled: "MaMaDroid: Detecting Android Malware by Building Markov Chains of Behavioral Models". To reproduce dataset using MaMaDroid feature, we utilize one the github repository (link: https://github.com/Sp1keeeee/MaMadroid.git).

APK collection: We collection APKs from AndroZoo using API key provided by AndroZoo. We utilize LAMDA APK hashes to create the curated MaMaDroid dataset where they work on Drebin feature and provided sha256 for each of the APKs.
DOI: 10.15468/dl.wc3xqp
title: Occurrence Download

description: A dataset containing 1553648 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cettia cetti"
 ]
}

 The dataset includes 1553648 records from 1784 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015099-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qdyedm
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-74.308 4.277,-74.029 4.277,-74.029 4.549,-74.308 4.549,-74.308 4.277))",
 "HasCoordinate is true",
 "TaxonKey is Patagioenas fasciata (Say, 1822)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 69 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010191-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zqhqut
title: Occurrence Download

description: A dataset containing 17752 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Morus alba L."
 ]
}

 The dataset includes 17752 records from 473 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0309000-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.99mg4b
title: Occurrence Download

description: A dataset containing 170 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-93.40034 15.53961,-92.40477 15.53961,-92.40477 15.93738,-93.40034 15.93738,-93.40034 15.53961))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ptychohyla euthysanota (Kellogg, 1928)"
 ]
}

 The dataset includes 170 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037926-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.93qdvv
title: Occurrence Download

description: A dataset containing 718459 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-104.72168 6.32813,-84.77051 20.21484,-92.50488 29.00391,-119.4873 33.75,-104.72168 6.32813))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 718459 records from 346 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0262192-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.1pdmdw
title: Occurrence Download

description: A dataset containing 465 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eptesicus brasiliensis (Desmarest, 1819)",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 465 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010191-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yk8hcb
title: Occurrence Download

description: A dataset containing 4205 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calyceraceae"
 ]
}

 The dataset includes 4205 records from 146 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082136-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7spakf
title: Occurrence Download

description: A dataset containing 915856 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Morocco"
 ]
}

 The dataset includes 915856 records from 1006 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0273183-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21978/p80g8n
title: ISEE-3 Solar Wind Plasma Weimer Propagated 60 s Resolution in GSE Coordinates
title: ISEE-3 FPE data

description: ISEE-3 Weimer propagated solar wind data and linearly interpolated to have the measurements on the minute at 60 s resolution solar wind plasma data in GSE coordinates. This data set consists of propagated solar wind data that has first been propagated to a position just outside of the nominal bow shock (about 17, 0, 0 Re) and then linearly interpolated to 1 min resolution using the interp1.m function in MATLAB. The input data for this data set is a 1 min resolution processed solar wind data constructed by Dr. J.M. Weygand. The method of propagation is similar to the minimum variance technique and is outlined in Dan Weimer et al. [2003; 2004]. The basic method is to find the minimum variance direction of the magnetic field in the plane orthogonal to the mean magnetic field direction. This minimum variance direction is then dotted with the difference between final position vector minus the original position vector and the quantity is divided by the minimum variance dotted with the solar wind velocity vector, which gives the propagation time. This method does not work well for shocks and minimum variance directions with tilts greater than 70 degrees of the sun-earth line. This data set was originally constructed by Dr. J.M. Weygand for Prof. R.L. McPherron, who was the principle investigator of two National Science Foundation studies: GEM Grant ATM 02-1798 and a Space Weather Grant ATM 02-08501. These data were primarily used in superposed epoch studies References: Weimer, D. R. (2004), Correction to ‘‘Predicting interplanetary magnetic field (IMF) propagation delay times using the minimum variance technique,’’ J. Geophys. Res., 109, A12104, doi:10.1029/2004JA010691. Weimer, D.R., D.M. Ober, N.C. Maynard, M.R. Collier, D.J. McComas, N.F. Ness, C. W. Smith, and J. Watermann (2003), Predicting interplanetary magnetic field (IMF) propagation delay times using the minimum variance technique, J. Geophys. Res., 108, 1026, doi:10.1029/2002JA009405.
DOI: 10.21978/p8r03r
title: ISEE-3 Solar Wind Weimer Propagation Details at 1 min Resolution

description: ISEE-3 Weimer propagated solar wind data and linearly interpolated time delay, cosine angle, and goodness information of propagated data at 1 min Resolution. This data set consists of propagated solar wind data that has first been propagated to a position just outside of the nominal bow shock (about 17, 0, 0 Re) and then linearly interpolated to 1 min resolution using the interp1.m function in MATLAB. The input data for this data set is a 1 min resolution processed solar wind data constructed by Dr. J.M. Weygand. The method of propagation is similar to the minimum variance technique and is outlined in Dan Weimer et al. [2003; 2004]. The basic method is to find the minimum variance direction of the magnetic field in the plane orthogonal to the mean magnetic field direction. This minimum variance direction is then dotted with the difference between final position vector minus the original position vector and the quantity is divided by the minimum variance dotted with the solar wind velocity vector, which gives the propagation time. This method does not work well for shocks and minimum variance directions with tilts greater than 70 degrees of the sun-earth line. This data set was originally constructed by Dr. J.M. Weygand for Prof. R.L. McPherron, who was the principle investigator of two National Science Foundation studies: GEM Grant ATM 02-1798 and a Space Weather Grant ATM 02-08501. These data were primarily used in superposed epoch studies References: Weimer, D. R. (2004), Correction to ‘‘Predicting interplanetary magnetic field (IMF) propagation delay times using the minimum variance technique,’’ J. Geophys. Res., 109, A12104, doi:10.1029/2004JA010691. Weimer, D.R., D.M. Ober, N.C. Maynard, M.R. Collier, D.J. McComas, N.F. Ness, C. W. Smith, and J. Watermann (2003), Predicting interplanetary magnetic field (IMF) propagation delay times using the minimum variance technique, J. Geophys. Res., 108, 1026, doi:10.1029/2002JA009405.
DOI: 10.21978/p8vs74
title: ISEE-3 Solar Wind Plasma Weimer Propagated 60 s Resolution in GSM Coordinates
title: ISEE-3 FPE data

description: ISEE-3 Weimer propagated solar wind data and linearly interpolated to have the measurements on the minute at 60 s resolution solar wind plasma data in GSM coordinates. This data set consists of propagated solar wind data that has first been propagated to a position just outside of the nominal bow shock (about 17, 0, 0 Re) and then linearly interpolated to 1 min resolution using the interp1.m function in MATLAB. The input data for this data set is a 1 min resolution processed solar wind data constructed by Dr. J.M. Weygand. The method of propagation is similar to the minimum variance technique and is outlined in Dan Weimer et al. [2003; 2004]. The basic method is to find the minimum variance direction of the magnetic field in the plane orthogonal to the mean magnetic field direction. This minimum variance direction is then dotted with the difference between final position vector minus the original position vector and the quantity is divided by the minimum variance dotted with the solar wind velocity vector, which gives the propagation time. This method does not work well for shocks and minimum variance directions with tilts greater than 70 degrees of the sun-earth line. This data set was originally constructed by Dr. J.M. Weygand for Prof. R.L. McPherron, who was the principle investigator of two National Science Foundation studies: GEM Grant ATM 02-1798 and a Space Weather Grant ATM 02-08501. These data were primarily used in superposed epoch studies References: Weimer, D. R. (2004), Correction to ‘‘Predicting interplanetary magnetic field (IMF) propagation delay times using the minimum variance technique,’’ J. Geophys. Res., 109, A12104, doi:10.1029/2004JA010691. Weimer, D.R., D.M. Ober, N.C. Maynard, M.R. Collier, D.J. McComas, N.F. Ness, C. W. Smith, and J. Watermann (2003), Predicting interplanetary magnetic field (IMF) propagation delay times using the minimum variance technique, J. Geophys. Res., 108, 1026, doi:10.1029/2002JA009405.
DOI: 10.21978/p8791f
title: Wind 3DP Linearly Interpolated 60 s Resolution data in GSE Coordinates
title: Wind 3DP data

description: Wind linearly interpolated to have the measurements on the minute at 60 s resolution 3DP data in GSE coordinates. This data set consists of processed solar wind data that has been linearly interpolated to 1 min resolution at the position of the spacecraft using the interp1.m function in MATLAB. This data set was originally constructed by Dr. J.M. Weygand for Prof. R.L. McPherron, who was the principle investigator of two National Science Foundation studies: GEM Grant ATM 02-1798 and a Space Weather Grant ATM 02-08501. These data were primarily used in superposed epoch studies and cross correlation studies on solar wind.
DOI: 10.21978/p83k90
title: Wind 3DP Linearly Interpolated 60 s Resolution data in GSM Coordinates
title: Wind 3DP data

description: Wind linearly interpolated to have the measurements on the minute at 60 s resolution 3DP data in GSM coordinates. This data set consists of processed solar wind data that has been linearly interpolated to 1 min resolution at the position of the spacecraft using the interp1.m function in MATLAB. This data set was originally constructed by Dr. J.M. Weygand for Prof. R.L. McPherron, who was the principle investigator of two National Science Foundation studies: GEM Grant ATM 02-1798 and a Space Weather Grant ATM 02-08501. These data were primarily used in superposed epoch studies and cross correlation studies on solar wind.
DOI: 10.21978/p8zs72
title: Wind 3DP Weimer Propagated 60 s Resolution in GSE Coordinates
title: Wind 3DP data

description: Wind 3DP propagated solar wind data and linearly interpolated to have the measurements on the minute at 60 s resolution data in GSE coordinates. This data set consists of propagated solar wind data that has first been propagated to a position just outside of the nominal bow shock (about 17, 0, 0 Re) and then linearly interpolated to 1 min resolution using the interp1.m function in MATLAB. The input data for this data set is a 1 min resolution processed solar wind data constructed by Dr. J.M. Weygand. The method of propagation is similar to the minimum variance technique and is outlined in Dan Weimer et al. [2003; 2004]. The basic method is to find the minimum variance direction of the magnetic field in the plane orthogonal to the mean magnetic field direction. This minimum variance direction is then dotted with the difference between final position vector minus the original position vector and the quantity is divided by the minimum variance dotted with the solar wind velocity vector, which gives the propagation time. This method does not work well for shocks and minimum variance directions with tilts greater than 70 degrees of the sun-earth line. This data set was originally constructed by Dr. J.M. Weygand for Prof. R.L. McPherron, who was the principle investigator of two National Science Foundation studies: GEM Grant ATM 02-1798 and a Space Weather Grant ATM 02-08501. These data were primarily used in superposed epoch studies References: Weimer, D. R. (2004), Correction to ‘‘Predicting interplanetary magnetic field (IMF) propagation delay times using the minimum variance technique,’’ J. Geophys. Res., 109, A12104, doi:10.1029/2004JA010691. Weimer, D.R., D.M. Ober, N.C. Maynard, M.R. Collier, D.J. McComas, N.F. Ness, C. W. Smith, and J. Watermann (2003), Predicting interplanetary magnetic field (IMF) propagation delay times using the minimum variance technique, J. Geophys. Res., 108, 1026, doi:10.1029/2002JA009405. There are now two version of this data set. An off set has been found in the Wind MFI Bz component that is present after November 2004. Version 2 has this offset removed. Prof. R.L. McPherron determined the correction to be Bz = Bz - (-0.000000130406219.*odoy.*odoy + 0.000576303146.*odoy + 0.679940509 + 0.3215*cos(2*pi*(doy-171)/366)) where doy is the day of the year in units of days and odoy is the days sinces Jan 1, 1999 00:00:00 UT in units of days.