cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.339yq6
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Living Specimen, Occurrence evidence)",
 "Continent is Europe",
 "Country is Portugal",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (February, March, April, May, June, July, August, September, October, November, December, January)",
 "OccurrenceStatus is Present",
 "TaxonKey is Amaranthus albus L.",
 "Year 2019-2024"
 ]
}

 The dataset includes 16 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028155-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.neczgf
title: Occurrence Download

description: A dataset containing 12951 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Roadkill"
 ]
}

 The dataset includes 12951 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028156-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14546262
title: Spatio-temporal reconstruction of annual glacier mass balance in the Central Asia (2000- 2020) using machine learning method

description: This dataset reconstructs the annual mass balance of glaciers larger than 0.1 km² in the Tien Shan and Pamir regions from 2000 to 2020. The dataset is derived using a nonlinear relationship between glacier mass balance and meteorological and topographical variables. The reconstruction method employs the XGBoost algorithm. Initially, XGBoost is trained on the complete training dataset, followed by incremental training for each sub-region to tailor models to specific regional characteristics. The final training results yield an average coefficient of determination (R²) of 0.87. The mass balance simulation for each glacier is listed in the MassBalance_2000_2020.csv file. The columns include: RGIId (glacier identifier from the Randolph Glacier Inventory), CenLon and CenLat (geographic coordinates of the glacier center), Area (glacier area), Zmed (median elevation), year (recorded year), and mb_pred (predicted mass balance)

 

All code used in this dataset is publicly available and organized into the following five sections:





Data Processing



Code for extracting monthly meteorological variables.

Combines meteorological and topographical variables for each glacier.





Model Training



Implements the two-step training process for all ensemble learning methods tested in this study.





Result Analysis



Pie charts of mass balance distribution for clustered glaciers.

Line graphs of annual mass balance for each sub-region.





Result Evaluation



Extracts glacier mass balance data from previous studies.

Compares these data with the results of this study.





SHAP Analysis



Provides scripts to generate SHAP (SHapley Additive exPlanations) value-related figures, highlighting the contribution of different variables to model predictions.
DOI: 10.5281/zenodo.15395538
title: Spatio-temporal reconstruction of annual glacier mass balance in the Central Asia (2000- 2020) using machine learning method

description: This dataset reconstructs the annual mass balance of glaciers larger than 0.1 km² in the Tien Shan and Pamir regions from 2000 to 2020. The dataset is derived using a nonlinear relationship between glacier mass balance and meteorological and topographical variables. The reconstruction method employs the XGBoost algorithm. Initially, XGBoost is trained on the complete training dataset, followed by incremental training for each sub-region to tailor models to specific regional characteristics. The final training results yield an average coefficient of determination (R²) of 0.87. The mass balance simulation for each glacier is listed in the MassBalance_2000_2020.csv file. The columns include: RGIId (glacier identifier from the Randolph Glacier Inventory), CenLon and CenLat (geographic coordinates of the glacier center), Area (glacier area), Zmed (median elevation), year (recorded year), and mb_pred (predicted mass balance)

 

All code used in this dataset is publicly available and organized into the following five sections:





Data Processing



Code for extracting monthly meteorological variables.

Combines meteorological and topographical variables for each glacier.





Model Training



Implements the two-step training process for all ensemble learning methods tested in this study.





Result Analysis



Pie charts of mass balance distribution for clustered glaciers.

Line graphs of annual mass balance for each sub-region.





Result Evaluation



Extracts glacier mass balance data from previous studies.

Compares these data with the results of this study.





SHAP Analysis



Provides scripts to generate SHAP (SHapley Additive exPlanations) value-related figures, highlighting the contribution of different variables to model predictions.
DOI: 10.5281/zenodo.15395625
title: momordica_cabrae_zanfona_1.fasta.gz
DOI: 10.5281/zenodo.15395626
title: momordica_cabrae_zanfona_1.fasta.gz
DOI: 10.15468/dl.kuszdu
title: Occurrence Download

description: A dataset containing 4327374 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 0.0-5090.0",
 "Geometry POLYGON((-108.85764 18.62696,-47.68303 18.62696,-47.68303 53.55775,-108.85764 53.55775,-108.85764 18.62696))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lepidoptera",
 "Year 2010-2025"
 ]
}

 The dataset includes 4327374 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028150-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2nq8y3
title: Occurrence Download

description: A dataset containing 92554 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Galapagos Subtidal Biodiversity"
 ]
}

 The dataset includes 92554 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028153-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/0goujv
title: U
DOI: 10.57745/1sti7x
title: level0Edge
DOI: 10.57745/652fzq
title: lowQualityTetFaces
DOI: 10.57745/6ljsex
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DOI: 10.57745/abdkel
title: k
DOI: 10.57745/albosm
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DOI: 10.57745/aq2qfe
title: cylinder_concaveFeaturePts.obj
DOI: 10.57745/aq7img
title: fullStressFunction
DOI: 10.57745/axclhi
title: IsoQ2_Z15_t106100.png

description: Iso surface Q=0.2 at t=1061.00
DOI: 10.57745/bcl3lv
title: addedCells
DOI: 10.57745/bjaulj
title: cylinder_internalEdges.obj
DOI: 10.57745/cfbs2n
title: snappyHexMeshDict
DOI: 10.57745/cpnbpa
title: cylinder_multipleEdges.obj
DOI: 10.57745/d1n4ff
title: pointZones
DOI: 10.57745/djmqte
title: faces
DOI: 10.57745/ea66qe
title: turbulenceProperties
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title: cylinder.extendedFeatureEdgeMesh
DOI: 10.57745/ekrssq
title: decomposeParDict
DOI: 10.57745/emirn8
title: cylinder_multipleEdges.obj
DOI: 10.57745/eri94g
title: cylinder.extendedFeatureEdgeMesh
DOI: 10.57745/fdhux2
title: cylinder_mixedFeaturePts.obj
DOI: 10.57745/flwaqk
title: surfaceFeatureExtractDict
DOI: 10.57745/g35rmm
title: owner
DOI: 10.57745/gnkv70
title: cylinder_flatEdges.obj
DOI: 10.57745/hbbyb4
title: cellLevel
DOI: 10.57745/hkktyb
title: cylinder_openEdges.obj
DOI: 10.57745/hllle0
title: 599.75.zip

description: openfoam data time directory t=599.75
DOI: 10.57745/i6rw8f
title: meshQualityDict
DOI: 10.57745/icvjy5
title: cylinder.eMesh
DOI: 10.57745/iindiy
title: cylinder.stl
DOI: 10.57745/jbywcq
title: p
DOI: 10.57745/km06er
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DOI: 10.57745/ktudid
title: cylinder_regionEdges.obj
DOI: 10.57745/lenzd3
title: README.htm

description: :unav
DOI: 10.57745/lmaq9g
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DOI: 10.57745/looneb
title: owner
DOI: 10.57745/lrwcgf
title: data_from_t=500_to_t=533.zip

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DOI: 10.57745/ma4gp8
title: cellZones
DOI: 10.57745/mi43n1
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DOI: 10.57745/n3v5sb
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DOI: 10.57745/ncld5l
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DOI: 10.57745/roxr8y
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title: p
DOI: 10.57745/s4lmnx
title: cylinder_convexFeaturePts.obj
DOI: 10.57745/sojr8e
title: cylinder_regionEdges.obj
DOI: 10.57745/tsslwt
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DOI: 10.57745/tt8fom
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DOI: 10.57745/tza77o
title: concaveFaces
DOI: 10.57745/utgrio
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DOI: 10.57745/uzloqf
title: cylinder_edgeDirections.obj
DOI: 10.57745/vdbcjz
title: cylinder_mixedFeaturePts.obj
DOI: 10.57745/vhdte2
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DOI: 10.57745/vozkdl
title: lowQualityTetFaces
DOI: 10.57745/vpcoai
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DOI: 10.57745/vrfvk8
title: addedCells
DOI: 10.57745/vxlhcq
title: 600.zip

description: openfoam data time directory t=600
DOI: 10.57745/vyvsac
title: fvSchemes
DOI: 10.57745/w8okh5
title: level0Edge
DOI: 10.57745/wkbsum
title: layerFaces
DOI: 10.57745/wydes0
title: transportProperties
DOI: 10.57745/wyka8d
title: cylinder_edgeMesh.obj
DOI: 10.57745/wylbzf
title: data_from_t=566.5_to_t=599.5.zip

description: openfoam data time directories from t=566.5 to t=599.5
DOI: 10.57745/wzlvwi
title: boundary
DOI: 10.57745/xd5msa
title: data_from_t=533.25_to_t=566.25.zip

description: openfoam data time directories from t=533.25 to t=566.25
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title: pointZones
DOI: 10.57745/yp1dod
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DOI: 10.57745/ytr42n
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DOI: 10.57745/zarslw
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DOI: 10.57745/bj6ybm
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DOI: 10.57745/bq3y40
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DOI: 10.57745/bvjweu
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DOI: 10.57745/cmsscf
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DOI: 10.57745/hmhhzp
title: cylinder_edgeMesh.obj
DOI: 10.57745/hsnmju
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title: cylinder_flatEdges.obj
DOI: 10.57745/ije6bs
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DOI: 10.57745/io4ahm
title: cylinder_externalEdges.obj
DOI: 10.57745/iuj4h2
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DOI: 10.57745/izmat5
title: cylinder_mixedFeaturePts.obj
DOI: 10.57745/k5yipb
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DOI: 10.57745/kn0mu1
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DOI: 10.57745/kqtmtb
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DOI: 10.57745/lflcsj
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DOI: 10.57745/ljnhg5
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DOI: 10.57745/m0bgqm
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DOI: 10.57745/mnxk6f
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DOI: 10.57745/mpbinq
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DOI: 10.57745/n2wqzm
title: concaveCells
DOI: 10.57745/n6n8ay
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DOI: 10.57745/oa4vms
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DOI: 10.57745/ocrlwh
title: cylinder_edgeDirections.obj
DOI: 10.57745/opdfsd
title: owner
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DOI: 10.57745/wtgu8k
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DOI: 10.57745/xjzy4x
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DOI: 10.57745/xmomgi
title: cylinder_mixedFeaturePtsStructure.obj
DOI: 10.57745/xtz3hb
title: cellZones
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DOI: 10.57745/ytbhev
title: EigenvaluesNormalized_U.npy
DOI: 10.57745/yvzqmq
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DOI: 10.57745/zjdrju
title: U
DOI: 10.57745/zox6dj
title: cellZones
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DOI: 10.57745/0eovmc
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DOI: 10.57745/16iivh
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DOI: 10.57745/lbkw77
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DOI: 10.57745/dturst
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DOI: 10.57745/hkovkg
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DOI: 10.57745/l3hycq
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DOI: 10.57745/l97fan
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DOI: 10.57745/lxfwr9
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DOI: 10.57745/pjybfv
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DOI: 10.57745/q4jxka
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DOI: 10.57745/rad4nl
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DOI: 10.57745/rwue0t
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DOI: 10.57745/skrnxv
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DOI: 10.57745/tgnzkj
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DOI: 10.57745/u2cgp1
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DOI: 10.57745/wpkpy7
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DOI: 10.57745/754ipj
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DOI: 10.57745/7rmjat
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DOI: 10.57745/lwdo5v
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DOI: 10.57745/lzsowc
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DOI: 10.57745/nbqlsf
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DOI: 10.57745/slrs6g
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DOI: 10.57745/spqbdc
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