cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.vfdk3y
title: Occurrence Download

description: A dataset containing 120174 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Colpodium pisidicum, Crocanthemum nutans, Leobordea magnifica, Pseudopodospermum violaceum, Laphamia sanchezii, Eriocoma nevadensis, Nardophyllum lanatum, Erica innovans, Trachyandra ciliata, Erica agglutinans, Laphamia gentryi, Trachyandra laxa, Erica zeyheriana, Acrodon subulatus, Pseudopodospermum troodeum, Cryptantha hispida, Crocus atrospermus, Archidasyphyllum diacanthoides, Allocasuarina trichodon, Ischnolepis natalensis, Physocarpus intermedius, Eremophila dielsiana, Crocus fibroannulatus, Odontarrhena giosnana, Asterolasia hexapetala, Ambrosia pumila, Microsteris gracilis, Eriogonum alexanderae, Verbascum gaetulum, Erysimum ibericum, Lepisanthes rubiginosa, Ambrosia platyspina, Gomphostigma incomptum, Gutierrezia ramulosa, Cynanchum gerrardi, Cynanchum insipidum, Lobostemon lucidus, Galphimia tuberculata, Polpoda stipulacea, Heteropterys laurifolia, Urelytrum agropyroides, Kalanchoe laciniata, Diplocyclos palmatus, Santolina insularis, Triodanis perfoliata, Luzula congesta, Vandellia subulata, Glycine tabacina, Bessera tenuiflora, Persicaria hispida, Acrotriche fasciculiflora, Schismus inermis, Erythranthe suksdorfii, Persicaria pseudolapathum, Lessertia herbacea, Vandellia eremophiloides, Urochloa texana, Hollermayera valdiviana, Craibia zimmermannii, Urochloa fusca, Aliciella latifolia, Erythranthe cardinalis, Erythranthe microphylla, Frankenia repens, Veronica velutina, Pentameris colorata, Ornithogalum hispidum, Ornithogalum neopatersonia, Drosera leucostigma, Lindernia dubia, Heterotheca bolanderi, Conanthera trimaculata, Drosera major, Orobanche beauverdii, Lathyrus plitmannii, Passiflora arida, Rytidosperma violaceum, Muhlenbergia shepherdii, Galium idubedae, Muhlenbergia jonesii, Ornithogalum rosulatum, Prosphytochloa prehensilis, Terminalia supranitifolia, Pentameris aspera, Mniodes schultzii, Chromolaena pulchella, Platysace linearifolia, Cyclopia glabra, Galium sinaicum, Balbisia peduncularis, Culcita macrocarpa, Glandora moroccana, Melolobium microphyllum, Adenandra uniflora, Isolepis striata, Cylindropuntia kleiniae, Lophiolepis ligularis, Ipomopsis thurberi, Samolus porosus, Cherleria doerfleri)",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 120174 records from 1100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018475-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48677/885e9b5f-e11e-4c92-806e-d205cbfbc9e4
title: Digitales Landschaftsmodell - Bauten Stichtag 29.09.2025

description: Der Objektbereich DLM - Bauten umfasst in Form von hochgenauer Vektorgrafik mit Attributen als Basis für Geographische Informationssysteme flächendeckend für Österreich die Elemente:
• Objekte (koordinative Bezugspunkte – POI) aus den Bereichen Kommunale Einrichtungen, Betriebseinrichtungen, Kultur, Freizeit und Sport, Schutzeinrichtungen
• Sonstige linienhafte Objekte (z.B. Bob-, Rodelbahn)
• Anlagen und Bauwerke für Versorgung (Stromleitungen und Strommasten)

Stichtag = Erstellungsdatum:
 Die Daten sind zu diesem Tag der aktuellste Datenbestand des BEV.
 Dies ist nicht ident mit dem Aufnahme- bzw. Vermessungsdatum.
DOI: 10.82159/f5e4-rk76
title: IT_LAGOONOFVENICE_PHYTOPLCLASSABB_2025_V20250806.xlsx
DOI: 10.3535/6te-9sc-df8
title: Galemys Kaup, 1829

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ajb-cc4-72p
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/7sy-6sc-l7m
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8qe-g5g-1sy
title: Bos taurus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/099-ap3-sr1
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rng-025-7ez
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/e8k-fnm-035
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/n5y-23f-05v
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/dpq-jz6-2rz
title: Parancyloceras

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xvs-v1v-4vd
title: Aegocrioceras

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/b5v-trx-wcl
title: Equus (Equus) caballus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1tn-d2c-ymn
title: Cytherella (Cytherella) Jones, 1849

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4sm-qe6-rnq
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/dpy-ggb-5wn
title: Bos taurus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ykh-bd4-4rl
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2fk-8s9-mjb
title: †Hornera striata Milne Edwards, 1838

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/kc4-18n-msr
title: Cytherella semitalis Brady, 1868

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bdw-rva-4e3
title: Krithe (Krithe) Brady, Crosskey & Robertson, 1874

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/g7q-ez7-sa8
title: †Chaetetes Fischer, 1830

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8x3-q6b-dml
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zc9-wes-by6
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1fy-was-2gr
title: Acrioceras

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/evm-86v-bbs
title: †Solenastrea turonensis (Michelin, 1847)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/r0p-vff-ebd
title: Bos taurus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5dg-ky8-pj4
title: Pegusa

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/tmz-b9t-nhb
title: Melchiorites

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.5281/zenodo.16892521
title: SO2 retrievals from TROPOMI BD2 and BD3 measurements

description: SO2 plume heights and column densities retrieved from TROPOMI Band 2 (BD2) and Band 3 (BD3) measurements. These data are provided in support of the study by Fabris et al., Atmospheric Measurement Techniques, 2025 (submitted).
DOI: 10.5281/zenodo.16892522
title: SO2 retrievals from TROPOMI BD2 and BD3 measurements

description: SO2 plume heights and column densities retrieved from TROPOMI Band 2 (BD2) and Band 3 (BD3) measurements. These data are provided in support of the study by Fabris et al., Atmospheric Measurement Techniques, 2025 (submitted).
DOI: 10.3535/8j6-c30-jsx
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zkn-gln-wa4
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/e5n-znz-3b6
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/7j7-0ym-m66
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lrr-f6v-bp9
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/cmc-ezn-vbs
title: †Pseudorbitoides trechmanni Douvillé, 1922

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bc0-ytd-pld
title: Equus (Equus) caballus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qbb-bjl-lt8
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/79p-9t3-700
title: †Cytheridea paracuminata Kollmann, 1960

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rnq-xln-vbl
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hcs-7dh-cp3
title: Crassatella Lamarck, 1799

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pb2-rcr-kvn
title: Bison C. H. Smith, 1827

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/9ny-sp6-qg4
title: Hoplocrioceras

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wb3-z5g-b0s
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/drq-r6z-st9
title: Simbirskites

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/d01-xtj-7rp
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/x7n-md7-2p5
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.nz5wp2
title: Occurrence Download

description: A dataset containing 276 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pericallis steetzii (Bolle) B.Nord."
 ]
}

 The dataset includes 276 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069926-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2xqtw3
title: Occurrence Download

description: A dataset containing 1841 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Paubrasilia echinata (Lam.) Gagnon, H.C.Lima & G.P.Lewis, Caesalpinia echinata Lam., Caesalpinia obliqua Vogel, Guilandina echinata (Lam.) Spreng.)"
 ]
}

 The dataset includes 1841 records from 159 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067670-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nug6vq
title: Occurrence Download

description: A dataset containing 81 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Launaea cabrae (De Wild.) N.Kilian"
 ]
}

 The dataset includes 81 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004840-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aakf8e
title: Occurrence Download

description: A dataset containing 31270499 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Acipenseriformes, Anguilliformes, Atheriniformes, Aulopiformes, Beloniformes, Beryciformes, Carcharhiniformes, Characiformes, Clupeiformes, Cyprinodontiformes, Elopiformes, Esociformes, Gadiformes, Gasterosteiformes, Lepisosteiformes, Lophiiformes, Mugiliformes, Myliobatiformes, Notacanthiformes, Osmeriformes, Osteoglossiformes, Perciformes, Petromyzontiformes, Pleuronectiformes, Polypteriformes, Salmoniformes, Scorpaeniformes, Siluriformes, Synbranchiformes, Syngnathiformes, Tetraodontiformes, Torpediniformes, Zeiformes, Cypriniformes, Ceratodontiformes, Gonorynchiformes, Siluriformes, Rhizostomeae)",
 "Year 1880-2010"
 ]
}

 The dataset includes 31270499 records from 2414 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004846-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1384011.10fu
title: SH1384011.10FU

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/sh1384012.10fu
title: SH1384012.10FU

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/sh1384019.10fu
title: SH1384019.10FU

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/sh1384020.10fu
title: SH1384020.10FU

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.29532763
title: Use of video to promote skill development in loading machine operators

description: Effective feedback is an essential part of the training of logging machine operators. However, effective feedback is difficult to achieve within the environment of a logging operation. Video-based feedback can help improve operator performance by offering specific, timely and content-rich instruction. This research proposed a feedback support system that used a framework of beneficial loading operation practices alongside a video-based motion analysis application that could support trainers to provide relevant, timely, frequent and clear feedback to trainees. Using a pilot video, 11 experienced operators were reflectively interviewed to identify the 27 beneficial work practices that fulfill five different processes that make up loading operations. A panel of three (a trainer and two operators) were then trained in the use of the framework and an off-the-shelf video-based motion analysis app to capture and share video and then reflect on captured work practices over a period of 4 weeks. An evaluation of their assessment concluded that the proposed system has the potential to support trainers and trainees to have more fruitful feedback discussions.
DOI: 10.6084/m9.figshare.29532763.v1
title: Use of video to promote skill development in loading machine operators

description: Effective feedback is an essential part of the training of logging machine operators. However, effective feedback is difficult to achieve within the environment of a logging operation. Video-based feedback can help improve operator performance by offering specific, timely and content-rich instruction. This research proposed a feedback support system that used a framework of beneficial loading operation practices alongside a video-based motion analysis application that could support trainers to provide relevant, timely, frequent and clear feedback to trainees. Using a pilot video, 11 experienced operators were reflectively interviewed to identify the 27 beneficial work practices that fulfill five different processes that make up loading operations. A panel of three (a trainer and two operators) were then trained in the use of the framework and an off-the-shelf video-based motion analysis app to capture and share video and then reflect on captured work practices over a period of 4 weeks. An evaluation of their assessment concluded that the proposed system has the potential to support trainers and trainees to have more fruitful feedback discussions.
DOI: 10.6084/m9.figshare.29596351
title: Predicting the occurrence of root rot in tree stumps based on harvester data

description: Root rot (<i>Heterobasidion spp</i>.) causes substantial losses for forest owners due to decreased wood quality in Norway spruce (<i>Picea abies</i>). Containing root rot spread in regeneration can be achieved by planting resistant species around infected stumps. However, detecting rotten trees remains challenging. In this study, ground truth data for root rot was collected by seven contractors by adding assortments for rotten pulpwood and cutoffs, with all energy wood assumed rotten. Root rot occurrence was estimated in two ways: (1) by developing Extreme Gradient Boosting (XGB) models from all data (XGB-only); and (2) trough binary classification for bucking patterns containing only rotten or healthy trees, followed by developing XGB models for remaining trees (combined). XGB models were developed nationwide and for two specific contractors. Classifications showed sensitivity of 83–87% (rot) and specificity of 95–99% (healthy). Whether nationwide, contractor-specific, XGB-only or combined classification was better varied by situation. Compared to prior studies, predictions from harvester data outperformed UAV images in classification but were surpassed by handheld camera images. Despite lower sensitivity compared to previous XGB applications, more rotten trees were detected than when using only energy wood as an indicator. As estimations are almost cost-free, the results may be acceptable.
DOI: 10.6084/m9.figshare.29596351.v1
title: Predicting the occurrence of root rot in tree stumps based on harvester data

description: Root rot (<i>Heterobasidion spp</i>.) causes substantial losses for forest owners due to decreased wood quality in Norway spruce (<i>Picea abies</i>). Containing root rot spread in regeneration can be achieved by planting resistant species around infected stumps. However, detecting rotten trees remains challenging. In this study, ground truth data for root rot was collected by seven contractors by adding assortments for rotten pulpwood and cutoffs, with all energy wood assumed rotten. Root rot occurrence was estimated in two ways: (1) by developing Extreme Gradient Boosting (XGB) models from all data (XGB-only); and (2) trough binary classification for bucking patterns containing only rotten or healthy trees, followed by developing XGB models for remaining trees (combined). XGB models were developed nationwide and for two specific contractors. Classifications showed sensitivity of 83–87% (rot) and specificity of 95–99% (healthy). Whether nationwide, contractor-specific, XGB-only or combined classification was better varied by situation. Compared to prior studies, predictions from harvester data outperformed UAV images in classification but were surpassed by handheld camera images. Despite lower sensitivity compared to previous XGB applications, more rotten trees were detected than when using only energy wood as an indicator. As estimations are almost cost-free, the results may be acceptable.