cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/vg7-w0w-hb7
title: Graptolithina Bronn, 1849

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/672-kwt-8nh
title: Animalia

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ths-xpt-cgv
title: Graptolithina Bronn, 1849

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/wgj-89e-lyx
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/wkv-374-whc
title: Animalia

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

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Tetrameles nudiflora R.Br."
 ]
}

 The dataset includes 33 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010125-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/f60-5d0-2jb
title: limestone

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/lzd-99k-lqh
title: Animalia

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/8bs-17b-ea6
title: Dalmanites

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.5281/zenodo.11400864
title: PhytoNode Upgraded: Energy-Efficient Long-Term Environmental Monitoring Using Phytosensing

description: The urban population continues to grow despite health risks associated with densely populated cities, such as traffic congestion and air pollution. At the same time cities are also further heating up due to climate change. Environmental monitoring is increasingly critical to react quickly to temporarily increased concentrations of, for example, carbon monoxide, nitrogen oxides, ozone, and particulate matter. We introduce a significantly improved version of our PhytoNode, an energy-efficient sensor node designed for phytosensing, that is, using of plants as environmental sensors. We aim for a scalable and sustainable real-time monitoring solution following our vision of an `intelligent plant' as an inexpensive and accurate sensor node. We measure electrical potentials and leaf temperatures of plants to assess their well-being and, in turn, environmental conditions. The PhytoNode achieves long-term energy autonomy by harvesting energy via solar cells and shares data via Bluetooth Low Energy (BLE) communication. We process the gathered time series plant data onboard in real-time using methods of Machine Learning (ML) to analyze the plant's activity and to detect dangerous concentrations of gases. In a few showcasing experiments, we demonstrate the feasibility of both our hardware and software approach for continuous, long-term environmental monitoring based on phytosensing. By embedding engineered devices in living plants as a `plant wearable' that listens to plant responses, we hope to help pushing towards smarter future cities and healthier urban environments. 

 

Data repository for our paper "PhytoNode Upgraded: Energy-Efficient Long-Term Environmental Monitoring Using Phytosensing", submitted to the 8th Future of Information and Communication Conference 2025 (FICC 2025). Please refer to the paper for more information.
DOI: 10.5281/zenodo.11400865
title: PhytoNode Upgraded: Energy-Efficient Long-Term Environmental Monitoring Using Phytosensing

description: The urban population continues to grow despite health risks associated with densely populated cities, such as traffic congestion and air pollution. At the same time cities are also further heating up due to climate change. Environmental monitoring is increasingly critical to react quickly to temporarily increased concentrations of, for example, carbon monoxide, nitrogen oxides, ozone, and particulate matter. We introduce a significantly improved version of our PhytoNode, an energy-efficient sensor node designed for phytosensing, that is, using of plants as environmental sensors. We aim for a scalable and sustainable real-time monitoring solution following our vision of an `intelligent plant' as an inexpensive and accurate sensor node. We measure electrical potentials and leaf temperatures of plants to assess their well-being and, in turn, environmental conditions. The PhytoNode achieves long-term energy autonomy by harvesting energy via solar cells and shares data via Bluetooth Low Energy (BLE) communication. We process the gathered time series plant data onboard in real-time using methods of Machine Learning (ML) to analyze the plant's activity and to detect dangerous concentrations of gases. In a few showcasing experiments, we demonstrate the feasibility of both our hardware and software approach for continuous, long-term environmental monitoring based on phytosensing. By embedding engineered devices in living plants as a `plant wearable' that listens to plant responses, we hope to help pushing towards smarter future cities and healthier urban environments. 

 

Data repository for our paper "PhytoNode Upgraded: Energy-Efficient Long-Term Environmental Monitoring Using Phytosensing", submitted to the 8th Future of Information and Communication Conference 2025 (FICC 2025). Please refer to the paper for more information.
DOI: 10.3535/f6r-klh-z1w
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/lcz-83m-zjd
title: Dalmanites

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.15468/dl.383hy5
title: Occurrence Download

description: A dataset containing 342 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((3.24837 43.2413,3.51752 43.2703,4.00649 43.5072,4.176 43.48149,4.37256 43.53602,4.44888 43.96703,3.77546 44.09915,3.46216 43.94806,3.34285 43.82816,3.27038 43.69454,3.24837 43.2413))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Juncus bufonius L.",
 "Year 2015-2025"
 ]
}

 The dataset includes 342 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010120-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/56f-5wj-lfa
title: limestone

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/5d1-2cp-na2
title: Animalia

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/asm-eey-rhg
title: †Proetida

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/rzd-bzh-ze8
title: limestone

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/0bv-ay9-wsz
title: Graptolithina Bronn, 1849

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.15468/dl.ad3vs7
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cymatia apparens (Distant, 1910)"
 ]
}

 The dataset includes 16 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010124-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/488-6rn-m7n
title: Graptolithina Bronn, 1849

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/j13-p7k-rec
title: †Proetida

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/gwl-v6j-myr
title: Animalia

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/bpr-ezm-70s
title: Niobe sp.

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/br8-ahk-h2g
title: †Holopea J. Hall, 1847

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/pqb-7bq-lyn
title: Dalmanites

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/e0l-ycw-77c
title: †Trilobita

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/geh-abc-y0l
title: Calymenina

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/hdl-vte-3bg
title: Graptolithina Bronn, 1849

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.15468/dl.53dtyn
title: Occurrence Download

description: A dataset containing 4721 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Callocephalon fimbriatum (J.Grant, 1803)"
 ]
}

 The dataset includes 4721 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010126-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/ew2-ts7-2fh
title: †Proetida

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/v62-3r5-lqr
title: †Trilobita

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/8rn-78k-el3
title: †Trilobita

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/x3m-shn-h05
title: Animalia

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/zap-w1r-dpt
title: Animalia

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/0ks-e79-zt3
title: Animalia

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/q7k-0at-10r
title: Graptolithina Bronn, 1849

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/j0n-q4x-c0f
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/jp6-qh3-7vq
title: Calymenina

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/9vh-kg6-x94
title: Graptolithina Bronn, 1849

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/h03-6gz-ygy
title: Calymene

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/mnw-7dv-76m
title: Animalia

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/pzn-z3q-dm4
title: Dolostone

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/s65-4de-yw8
title: †Asaphidae

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/2p0-hsx-7kw
title: Animalia

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ksa-d0c-4za
title: †Trilobita

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/sl1-63w-0ph
title: †Trilobita

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/yvf-psw-2hx
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/bfz-p9w-lfb
title: Illaenina

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/tdc-jx1-2rl
title: Stenopareia

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/4va-3mb-x99
title: Graptolithina Bronn, 1849

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/94k-eb7-w0m
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/gnn-szh-gve
title: Encrinurus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/jwh-4qm-v98
title: Kenophyllum sp.

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/zsn-nvg-gvq
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/qcc-ple-xd5
title: Specimen from Tallinn University of Technology

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/wrd-cn9-t9s
title: †Encrinurus punctatus (Wahlenberg, 1821)

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/09b-6j0-fqf
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/q3g-pgb-z53
title: Rhabdinopora sp.

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/13m-nsy-rbk
title: Calymene

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/1wm-jyh-7qm
title: †Encrinurus punctatus (Wahlenberg, 1821)

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/1le-m27-pvs
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ynl-b6j-lh1
title: †Trilobita

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/hyj-ewz-d5z
title: †Trilobita

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/y6w-bbl-fze
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/hpn-gdh-0l6
title: †Trilobita

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/wp9-whr-nd3
title: †Trilobita

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.13145/bacdive103080.20251217.10
title: Cellulomonas sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive103081.20230509.8.1
title: Cellulomonas sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0095128.10fu
title: SH0095128.10FU

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: 10.13145/bacdive103081.20251217.10
title: Cellulomonas sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive103082.20230509.8.1
title: Cellulomonas sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0095129.10fu
title: SH0095129.10FU

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: 10.13145/bacdive103082.20251217.10
title: Cellulomonas sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0095130.10fu
title: SH0095130.10FU

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: 10.13145/bacdive103083.20230509.8.1
title: Cellulomonas sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive103083.20251217.10
title: Cellulomonas sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0095131.10fu
title: SH0095131.10FU

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: 10.13145/bacdive103084.20230509.8.1
title: Cellulomonas sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive103084.20251217.10
title: Cellulomonas sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0095132.10fu
title: SH0095132.10FU

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: 10.13145/bacdive103085.20230509.8.1
title: Cellulomonas sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive103085.20251217.10
title: Cellulomonas sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.