cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26021/canterburynz.29310392.v1
title: RF Probability (version 0.1): Mapping Wetlands with High Resolution Planet SuperDove Satellite Imagery

description: These datasets represent predictions and associated probabilities using four machine learning methods, associated with collection: Mapping Wetlands with High Resolution Planet SuperDove Satellite Imagery: An Assessment of Machine Learning Models Across the Diverse Waterscapes of New Zealand (10.26021/canterburynz.c.7848596).The following datasets are available:HGB predictionHGB probabilityMLPC predictionMLPC probabilityRandom forest predictionRandom forest probability [this dataset]XGBoost predictionXGBoost probabilityFor details of the models developed, please see the collection and associated paper. The following files are available in each dataset, each representing an area within New Zealand:<b>xxxxx_mmm_prediction.tif</b>: model prediction, encoded as 8-bit integers where 1 is predicted as wetland (&gt;50% probability), and NA (no data) is non-wetland.<b>xxxxx_mmm_probability.tif</b>: model wetland probability, encoded as 16-bit integers, with probability values from 0 to 1 rescaled from 0 to 10,000. Divide the values by 10,000 to obtain probabilities to four decimal places.In the tile filenames, <b>xxxxx</b> refers to the UUID of the grid area, which can be found in the file nzgrid_uuid.gpkg, and <b>mmm</b> is a code which refers to the model used:<b>hgb</b>: histogram gradient boost<b>mlpc</b>: multi-layer perceptron classification<b>rf</b>: random forest<b>xgb</b>: extreme gradient boostingIn addition to the tif images, two virtual raster tile files are included to enable mapping at the national scale:<b>_mmm_prediction.vrt</b><b>_mmm_probability.vrt</b>All tif images are saved using cloud optimised geotiff (COG), which makes them fast to display even at a national level, although increases the data size. Total size is around 700 MB for the prediction datasets, and ~75 GB for the probability datasets.Metadata for the Planet SuperDove imagery used for each pixel of the predictions is available here: https://doi.org/10.26021/canterburynz.29231837.v
DOI: 10.3535/jbl-54h-m0j
title: Calliandra foliolosa Benth.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.8dqjpe
title: Occurrence Download

description: A dataset containing 9601723 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-118.73098 27.75639,-111.83751 27.75639,-111.83751 32.92864,-118.73098 32.92864,-118.73098 27.75639))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 9601723 records from 1321 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063985-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/acw-wdd-wlh
title: Euphrasia stricta J. P. Wolff ex J. F. Lehm.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/mpv-7tn-8n7
title: Stipa pennata subsp. pennata

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/v93-p38-fcp
title: Plantago lanceolata L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/139-2kg-55p
title: Agrostis scabra Willd.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ren-eze-764
title: Onosma sericea Willd.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/4b2-8ap-mna
title: Stipa pennata subsp. pennata

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/xeg-vhx-cn2
title: Achillea arabica Kotschy

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ly5-myg-35z
title: Aegilops triuncialis L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/jd4-5rl-afv
title: Phlomis herba-venti subsp. pungens (Willd.) Maire ex DeFilipps

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/r99-n93-3sw
title: Achillea nobilis subsp. neilreichii (A. Kern.) Velen.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/70w-5k7-077
title: Gnidia L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/r5l-4kq-8bh
title: Kielmeyera rubriflora Cambess.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.jjbeu9
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Paracladopelma graminicolor, Paracladopelma rhoedesianum, Paradoxocladius, Parakiefferiella biloba, Parakiefferiella, Polypedilum ephippium, Paramerina nigromarmorata, Paramerina septemguttata, Paramerina vaillanti, Parametriocnemus, Paraphaenocladius dewulfi, Paraphaenocladius, Paratendipes crosskeyi, Paratendipes, Paratendipes reidi, Paratendipes seydeli, Cricotopus micans, Paratrichocladius pretorianus, Paratrissocladius, Polypedilum annulatipes, Polypedilum bifalcatum, , Polypedilum fuscum, Polypedilum griseoguttatum, Polypedilum kibatiense, Polypedilum laterale, Polypedilum lobiferum, Polypedilum melanophilum, Polypedilum quinqueguttatum, Polypedilum ramiferum, Polypedilum subovatum, Polypedilum tenuitarse, Polypedilum tridens, Polypedilum tropicum, Pseudorthocladius nigerrimus, Pseudorthocladius, Pseudorthocladius similis, Pseudosmittia capicola, Pseudosmittia, Pseudosmittia conigera, , Pseudosmittia hirtella, Pseudosmittia rectilobus, Pseudosmittia subnigra, Pseudosmittia subtrilobata, Rheocricotopus, Semiocladius crassipennis, Skusella, Smittia collifera, Stelechomyia, Stempellina truncata, Stenochironomus antennalis, Stenochironomus bipunctatus, Stenochironomus edwardsi, Stenochironomus harrisoni, Stenochironomus polychaetus, Stenochironomus spatuliger, Stictochironomus bisignatus, Stictochironomus caffrarius, Stictochironomus festivus, Stictochironomus natalensis, Synorthocladius, Synorthocladius lobiger, Thienemannia, Trissopelopia montivaga, Trissopelopia, Virgatanytarsus, Xenochironomus ugandae, Xenochironomus, Zavrelia, Zavreliella, Zavreliella marmorata)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.5395 -28.5786,20.509 -28.5786,20.509 -32.9007,25.5395 -32.9007,25.5395 -28.5786))"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064028-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/dq4-18m-m8d
title: Dalbergia inundata Spruce ex Benth.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/he9-3t9-whv
title: Byrsonima coccolobifolia Kunth

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/gqd-3jw-1yx
title: Perissocarpa steyermarkii (Maguire) Steyerm. & Maguire

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/tv4-f7g-1zc
title: Guatteria villosissima A. St.-Hil.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/65f-ggj-pne
title: Clusia melchiorii Gleason

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/y7l-crq-js2
title: Potentilla pusilla Host

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/8tk-xjh-57c
title: Bromus tectorum L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/fw0-6aa-beg
title: Stipa arabica Trin. & Rupr.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/h1t-phr-wxz
title: Stipa pennata subsp. pennata

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/b5q-dn8-r28
title: Stipa pennata subsp. pennata

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/wsk-29p-dbl
title: Willemetia stipitata (Jacq.) Dalla Torre

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.26021/canterburynz.29300050
title: MLPC Probability (version 0.1): Mapping Wetlands with High Resolution Planet SuperDove Satellite Imagery

description: These datasets represent predictions and associated probabilities using four machine learning methods, associated with collection: Mapping Wetlands with High Resolution Planet SuperDove Satellite Imagery: An Assessment of Machine Learning Models Across the Diverse Waterscapes of New Zealand (10.26021/canterburynz.c.7848596).The following datasets are available:HGB predictionHGB probabilityMLPC predictionMLPC probability [this dataset]Random forest predictionRandom forest probabilityXGBoost predictionXGBoost probabilityFor details of the models developed, please see the collection and associated paper. The following files are available in each dataset, each representing an area within New Zealand:<b>xxxxx_mmm_prediction.tif</b>: model prediction, encoded as 8-bit integers where 1 is predicted as wetland (&gt;50% probability), and NA (no data) is non-wetland.<b>xxxxx_mmm_probability.tif</b>: model wetland probability, encoded as 16-bit integers, with probability values from 0 to 1 rescaled from 0 to 10,000. Divide the values by 10,000 to obtain probabilities to four decimal places.In the tile filenames, <b>xxxxx</b> refers to the UUID of the grid area, which can be found in the file nzgrid_uuid.gpkg, and <b>mmm</b> is a code which refers to the model used:<b>hgb</b>: histogram gradient boost<b>mlpc</b>: multi-layer perceptron classification<b>rf</b>: random forest<b>xgb</b>: extreme gradient boostingIn addition to the tif images, two virtual raster tile files are included to enable mapping at the national scale:<b>_mmm_prediction.vrt</b><b>_mmm_probability.vrt</b>All tif images are saved using cloud optimised geotiff (COG), which makes them fast to display even at a national level, although increases the data size. Total size is around 700 MB for the prediction datasets, and ~75 GB for the probability datasets.Metadata for the Planet SuperDove imagery used for each pixel of the predictions is available here: https://doi.org/10.26021/canterburynz.29231837.v
DOI: 10.26021/canterburynz.29300050.v1
title: MLPC Probability (version 0.1): Mapping Wetlands with High Resolution Planet SuperDove Satellite Imagery

description: These datasets represent predictions and associated probabilities using four machine learning methods, associated with collection: Mapping Wetlands with High Resolution Planet SuperDove Satellite Imagery: An Assessment of Machine Learning Models Across the Diverse Waterscapes of New Zealand (10.26021/canterburynz.c.7848596).The following datasets are available:HGB predictionHGB probabilityMLPC predictionMLPC probability [this dataset]Random forest predictionRandom forest probabilityXGBoost predictionXGBoost probabilityFor details of the models developed, please see the collection and associated paper. The following files are available in each dataset, each representing an area within New Zealand:<b>xxxxx_mmm_prediction.tif</b>: model prediction, encoded as 8-bit integers where 1 is predicted as wetland (&gt;50% probability), and NA (no data) is non-wetland.<b>xxxxx_mmm_probability.tif</b>: model wetland probability, encoded as 16-bit integers, with probability values from 0 to 1 rescaled from 0 to 10,000. Divide the values by 10,000 to obtain probabilities to four decimal places.In the tile filenames, <b>xxxxx</b> refers to the UUID of the grid area, which can be found in the file nzgrid_uuid.gpkg, and <b>mmm</b> is a code which refers to the model used:<b>hgb</b>: histogram gradient boost<b>mlpc</b>: multi-layer perceptron classification<b>rf</b>: random forest<b>xgb</b>: extreme gradient boostingIn addition to the tif images, two virtual raster tile files are included to enable mapping at the national scale:<b>_mmm_prediction.vrt</b><b>_mmm_probability.vrt</b>All tif images are saved using cloud optimised geotiff (COG), which makes them fast to display even at a national level, although increases the data size. Total size is around 700 MB for the prediction datasets, and ~75 GB for the probability datasets.Metadata for the Planet SuperDove imagery used for each pixel of the predictions is available here: https://doi.org/10.26021/canterburynz.29231837.v
DOI: 10.3535/m25-e7b-ehw
title: Encholirium spectabile Mart. ex Schult. & Schult.f.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/qv4-ya6-9cw
title: Stipa capillata L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/2c7-xma-x9c
title: Erysimum scoparium (Brouss. ex Willd.) Wettst.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/pkk-h9b-xtl
title: Achillea erba-rotta subsp. moschata (Wulfen) I. Richardson

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/8hg-jl7-z3a
title: Jatropha curcas L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/j8v-fwy-dd0
title: Festuca vaginata Waldst. & Kit. ex Willd.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/6qh-ls0-ddh
title: Festuca Tourn. ex L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ht1-n2f-lq7
title: Erysimum scoparium (Brouss. ex Willd.) Wettst.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/zml-v0x-bxf
title: Erysimum scoparium (Brouss. ex Willd.) Wettst.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/2rd-3c9-gsa
title: Alyssum argyrophyllum Schott & Kotschy

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/eak-nls-nak
title: Poa bulbosa L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/03q-kya-35f
title: Aphanocalyx ledermannii (Harms) Wieringa

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/930-kr7-a7z
title: Verbascum phoeniceum L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/l9x-pp5-gzb
title: Tanacetum aureum (Lam.) Greuter, M. V. Agab. & Wagenitz

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ml4-bzv-xqr
title: Potamogeton lucens L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/0q0-j9j-1dv
title: Cirsium vulgare (Savi) Ten.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/gvg-gcb-z0t
title: Scrophularia L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/vyk-lql-0ww
title: Angelica sylvestris L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/h3z-d83-lkv
title: Croton dichrous Müll.Arg.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/zg6-c6z-3kr
title: Trifolium campestre Schreb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.4ccvgg
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aphelinus flaviventris",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064031-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/fyy-dpl-0f7
title: Linum trigynum L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/gtx-7ed-nwg
title: Heracleum sphondylium L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/4gx-dgk-cqw
title: Silene conica L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/69c-sf8-71n
title: Cirsium echinus (M. Bieb.) Sch. Bip.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ckq-b51-61r
title: Coccocypselum capitatum (Graham) C.B.Costa & Mamede

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.26021/canterburynz.29287977
title: XGB Prediction (version 0.1): Mapping Wetlands with High Resolution Planet SuperDove Satellite Imagery

description: These datasets represent predictions and associated probabilities using four machine learning methods, associated with collection: Mapping Wetlands with High Resolution Planet SuperDove Satellite Imagery: An Assessment of Machine Learning Models Across the Diverse Waterscapes of New Zealand (10.26021/canterburynz.c.7848596).The following datasets are available:HGB predictionHGB probabilityMLPC predictionMLPC probabilityRandom forest prediction Random forest probabilityXGBoost prediction [this dataset]XGBoost probabilityFor details of the models developed, please see the collection and associated paper. The following files are available in each dataset, each representing an area within New Zealand:<b>xxxxx_mmm_prediction.tif</b>: model prediction, encoded as 8-bit integers where 1 is predicted as wetland (&gt;50% probability), and NA (no data) is non-wetland.<b>xxxxx_mmm_probability.tif</b>: model wetland probability, encoded as 16-bit integers, with probability values from 0 to 1 rescaled from 0 to 10,000. Divide the values by 10,000 to obtain probabilities to four decimal places.In the tile filenames, <b>xxxxx</b> refers to the UUID of the grid area, which can be found in the file nzgrid_uuid.gpkg, and <b>mmm</b> is a code which refers to the model used:<b>hgb</b>: histogram gradient boost<b>mlpc</b>: multi-layer perceptron classification<b>rf</b>: random forest<b>xgb</b>: extreme gradient boostingIn addition to the tif images, two virtual raster tile files are included to enable mapping at the national scale:<b>_mmm_prediction.vrt</b><b>_mmm_probability.vrt</b>All tif images are saved using cloud optimised geotiff (COG), which makes them fast to display even at a national level, although increases the data size. Total size is around 700 MB for the prediction datasets, and ~75 GB for the probability datasets.Metadata for the Planet SuperDove imagery used for each pixel of the predictions is available here: https://doi.org/10.26021/canterburynz.29231837.v1
DOI: 10.26021/canterburynz.29287977.v1
title: XGB Prediction (version 0.1): Mapping Wetlands with High Resolution Planet SuperDove Satellite Imagery

description: These datasets represent predictions and associated probabilities using four machine learning methods, associated with collection: Mapping Wetlands with High Resolution Planet SuperDove Satellite Imagery: An Assessment of Machine Learning Models Across the Diverse Waterscapes of New Zealand (10.26021/canterburynz.c.7848596).The following datasets are available:HGB predictionHGB probabilityMLPC predictionMLPC probabilityRandom forest prediction Random forest probabilityXGBoost prediction [this dataset]XGBoost probabilityFor details of the models developed, please see the collection and associated paper. The following files are available in each dataset, each representing an area within New Zealand:<b>xxxxx_mmm_prediction.tif</b>: model prediction, encoded as 8-bit integers where 1 is predicted as wetland (&gt;50% probability), and NA (no data) is non-wetland.<b>xxxxx_mmm_probability.tif</b>: model wetland probability, encoded as 16-bit integers, with probability values from 0 to 1 rescaled from 0 to 10,000. Divide the values by 10,000 to obtain probabilities to four decimal places.In the tile filenames, <b>xxxxx</b> refers to the UUID of the grid area, which can be found in the file nzgrid_uuid.gpkg, and <b>mmm</b> is a code which refers to the model used:<b>hgb</b>: histogram gradient boost<b>mlpc</b>: multi-layer perceptron classification<b>rf</b>: random forest<b>xgb</b>: extreme gradient boostingIn addition to the tif images, two virtual raster tile files are included to enable mapping at the national scale:<b>_mmm_prediction.vrt</b><b>_mmm_probability.vrt</b>All tif images are saved using cloud optimised geotiff (COG), which makes them fast to display even at a national level, although increases the data size. Total size is around 700 MB for the prediction datasets, and ~75 GB for the probability datasets.Metadata for the Planet SuperDove imagery used for each pixel of the predictions is available here: https://doi.org/10.26021/canterburynz.29231837.v1
DOI: 10.3535/hfh-ly2-wp2
title: Lepanthes melanocaulon Schltr.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/wcf-h7c-0ld
title: Jurinea Cass.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ltm-g8e-plx
title: Stipa pennata subsp. pennata

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/xrc-1mz-qzd
title: Scabiosa columbaria L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/1hf-1px-c2a
title: Alyssum hirsutum M. Bieb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.mqfh9p
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/0000975-160822134323880/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.djzm9z
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/0024166-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nuyn2t
title: Occurrence Download

description: A dataset containing 18632509 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations"
 ]
}

 The dataset includes 18632509 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038853-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.