cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1164037.10fu
title: SH1164037.10FU

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/sh1164043.10fu
title: SH1164043.10FU

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/sh1164049.10fu
title: SH1164049.10FU

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/sh1164052.10fu
title: SH1164052.10FU

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/sh1164057.10fu
title: SH1164057.10FU

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: 10.15468/dl.3nw3dk
title: Occurrence Download

description: A dataset containing 765593 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Xeno-canto - Bird sounds from around the world"
 ]
}

 The dataset includes 765593 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001720-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yk6yaa
title: Occurrence Download

description: A dataset containing 7458 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trifolium nigrescens Viv.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7458 records from 264 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001735-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25442/hku.28530308
title: Supporting data for "Integration of Renewable Energy for Power Restoration - Real Time Digital Simulation Approach"

description: This research presents a platform specifically built for immediate simulation suited to DT and PHIL methods. It is designed to prototype, demonstrate, and assess GFMIs under various critical scenarios for power restoration. By incorporating the Perez Model into the DT model through simulation exchange, the accuracy in comparison with the PHIL model is enhanced. Thus, the entire restoration process can be thoroughly represented and analyzed. My work introduces a novel approach to integrating renewable energy resources using PHIL-based digital twins technology to enhance power restoration stability. The dataset Involves different testing under inverters for power hardware-in-the-loop testing with solar panels, giving frequency and voltage data for different simulations.
DOI: 10.25442/hku.28530308.v1
title: Supporting data for "Integration of Renewable Energy for Power Restoration - Real Time Digital Simulation Approach"

description: This research presents a platform specifically built for immediate simulation suited to DT and PHIL methods. It is designed to prototype, demonstrate, and assess GFMIs under various critical scenarios for power restoration. By incorporating the Perez Model into the DT model through simulation exchange, the accuracy in comparison with the PHIL model is enhanced. Thus, the entire restoration process can be thoroughly represented and analyzed. My work introduces a novel approach to integrating renewable energy resources using PHIL-based digital twins technology to enhance power restoration stability. The dataset Involves different testing under inverters for power hardware-in-the-loop testing with solar panels, giving frequency and voltage data for different simulations.
DOI: 10.25442/hku.28614893
title: Supporting data for "Using AI-based Deep Learning Algorithms for Nowcasting Cloud Evolution"

description: Under climate change, it seems that extreme rainfalls occur more frequently around the world, posing significant threats to the lives of people and the safety of properties. To this end, this study, ''Using AI-based Deep Learning Algorithms for Nowcasting Cloud Evolution'', focuses on using AI-based deep learning algorithms for accurate nowcasting of cloud evolution. A high-resolution radar echo map mosaic dataset collected by the Meteorological Bureau of Shenzhen Municipality, China, is adopted. This new image dataset includes all the rainfall events in Guangdong Province of China between 2010 and 2020 with a spatiotemporal resolution of 1 km and 6 minutes, providing abundant details for the training of deep learning algorithms. The raw outputs from the weather radars are the logarithmic radar reflectivity factors (expressed as the echo intensity hereafter in this study) measured with dBZ between 0 and 70. Such factors are linearly transformed to pixel values between 0 and 255 to generate grey scale radar echo maps for the extrapolation methods and deep learning algorithms. The pixel values are stored in the square matrix for the convenience of data manipulation. To capture the complete evolution of rainstorm clouds in rainfall events, mosaic images of different radars are generated with the Constant Altitude Plan Position Indicator(CAPPI) images. Notably, the radar echo intensity can be converted to rainfall intensity, and then we can nowcast rainfalls. Each radar echo map covers an area of 256 km×256 km with a spatial resolution of 0.01°×0.01° (each pixel represents about 1 km×1 km area), and each radar echo map sequence lasts at least 120 minutes with a 6-minute time interval. Therefore, each sampled sequence includes 20 (= 120/6) frames, 10-frame radar echo maps as input data to those nowcasting models and 10 frames as the ground truth for evaluating 1-hour (= 10×6) model nowcasting results.
DOI: 10.25442/hku.28614893.v1
title: Supporting data for "Using AI-based Deep Learning Algorithms for Nowcasting Cloud Evolution"

description: Under climate change, it seems that extreme rainfalls occur more frequently around the world, posing significant threats to the lives of people and the safety of properties. To this end, this study, ''Using AI-based Deep Learning Algorithms for Nowcasting Cloud Evolution'', focuses on using AI-based deep learning algorithms for accurate nowcasting of cloud evolution. A high-resolution radar echo map mosaic dataset collected by the Meteorological Bureau of Shenzhen Municipality, China, is adopted. This new image dataset includes all the rainfall events in Guangdong Province of China between 2010 and 2020 with a spatiotemporal resolution of 1 km and 6 minutes, providing abundant details for the training of deep learning algorithms. The raw outputs from the weather radars are the logarithmic radar reflectivity factors (expressed as the echo intensity hereafter in this study) measured with dBZ between 0 and 70. Such factors are linearly transformed to pixel values between 0 and 255 to generate grey scale radar echo maps for the extrapolation methods and deep learning algorithms. The pixel values are stored in the square matrix for the convenience of data manipulation. To capture the complete evolution of rainstorm clouds in rainfall events, mosaic images of different radars are generated with the Constant Altitude Plan Position Indicator(CAPPI) images. Notably, the radar echo intensity can be converted to rainfall intensity, and then we can nowcast rainfalls. Each radar echo map covers an area of 256 km×256 km with a spatial resolution of 0.01°×0.01° (each pixel represents about 1 km×1 km area), and each radar echo map sequence lasts at least 120 minutes with a 6-minute time interval. Therefore, each sampled sequence includes 20 (= 120/6) frames, 10-frame radar echo maps as input data to those nowcasting models and 10 frames as the ground truth for evaluating 1-hour (= 10×6) model nowcasting results.
DOI: 10.15468/dl.qwkju5
title: Occurrence Download

description: A dataset containing 150468 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Philippines, Thailand, Singapore, Viet Nam, Malaysia, Lao People’s Democratic Republic, Indonesia, Myanmar, Cambodia, Timor-Leste, Brunei Darussalam)",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia",
 "Year 2000-2024"
 ]
}

 The dataset includes 150468 records from 125 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001725-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tgtsf9
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-80.00322 27.79896,-63.69139 27.79896,-63.69139 46.96592,-80.00322 46.96592,-80.00322 27.79896))",
 "OccurrenceStatus is Present",
 "TaxonKey is Rhododendron carolinianum Rehder"
 ]
}

 The dataset includes 9 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001736-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fzvc8v
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trifolium nigrescens subsp. petrisavii (Clem.) Holmboe)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 49 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001737-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15087559
title: Tehran data file
DOI: 10.5281/zenodo.15087560
title: Tehran data file
DOI: 10.15468/dl.94jxt6
title: Occurrence Download

description: A dataset containing 5537 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phoxinus kumgangensis Kim, 1980"
 ]
}

 The dataset includes 5537 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001738-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6w3hub
title: Occurrence Download

description: A dataset containing 244452 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dorcus hopei (Saunders, 1854), Dorcus tityus Hope, 1842, Prosopocoilus inclinatus (Motschulsky, 1857), Neolucanus insulicola Kurosawa, 1976, Dorcus striatipennis (Motschulsky, 1861), Lucanus gamunus Sawada & Watanabe, 1960, Lucanus maculifemoratus Motschulsky, 1861, Dorcus rectus (Motschulsky, 1857), Dorcus metacostatus Kikuta, 1985, Lucanus Scopoli, 1763, Dorcus rubrofemoratus (Snellen van Vollenhoven, 1865), Ceruchus lignarius Lewis, 1883, Dorcus montivagus (Lewis, 1883), Figulus binodulus Waterhouse, 1872, Aegus laevicollis Saunders, 1854, Rhaetulus recticornis Kurosawa, 1964, Dorcus japonicus Nakane & Makino, 1985, Prosopocoilus pseudodissimilis Kurosawa, 1976, Figulus yujii Fujita, 1994, Nigidius lewisi Boileau, 1905, Prosopocoilus dissimilis Boileau, 1898, Prismognathus dauricus (Motschulsky, 1860), Aegus ogasawarensis Okajima & Kobayashi, 1975, Figulus punctatus Waterhouse, 1872, Neolucanus protogenetivus Kurosawa, 1976, Prismognathus angularis Waterhouse, 1874, Prosopocoilus hachijoensis Nomura, 1960, Platycerus albisomni Kubota, Kubota & Otobe, 2008, Aesalus asiaticus Lewis, 1883, Dorcus amamianus (Nomura, 1964), Dorcus consentaneus, Neolucanus insularis Miwa, 1929, Platycerus sugitai Okuda & Fujita, 1987, Nicagus japonicus Nagel, 1928, Platycerus delicatulus Lewis, 1883, Neolucanus okinawanus Sakaino, 1984, Figulus boninensis Nakane & Kurosawa, 1953, Figulus daitoensis Fujita & Ichikawa, 1986, Platycerus akitaorum Imura, 2007, Platycerus takakuwai Fujita, 1987)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 244452 records from 1849 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001731-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/53l-pfw-bxp
title: Neptis miah batara Moore, 1881

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.17026/dans-zvw-dmtp
title: PAN-00066046 - coin/coin-related, Septimius Severus (193-211), sestertius

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00066046&lt;/p&gt;
description: Modified: 2021-03-30T13:30:40+02:00
DOI: 10.3535/rc2-cew-raw
title: Acherontia atropos Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8gd-w1m-mcg
title: Ochropacha duplaris (Linnaeus, 1761)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/m5d-q4r-874
title: Lasiocampa quercus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.17026/dans-zvw-e2hr
title: PAN-00025204 - oval buckle with pins and offset integral bar

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00025204&lt;/p&gt;
description: Modified: 2023-05-17T12:24:32+02:00
DOI: 10.3535/hpc-ymt-l6r
title: Euphydryas Scudder, 1872

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/kln-3vp-x5w
title: Mellicta athalia (von Rottemburg, 1775)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hs1-2wg-p2r
title: Clossiana dia (Linnaeus, 1767)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jc6-2r9-87x
title: Sphinx pinastri Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.17026/dans-zvw-eb5z
title: Plangebied Disselkoen, gemeente Maasland
title: effectbepaling van gronddeformatie op archeologisch monument 37B-07/37B-08

description: &lt;p&gt;onderzoeksrapport&lt;/p&gt;
DOI: 10.3535/45q-930-z88
title: Neptis gracilis (Kirsch, 1885)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5as-sh2-b80
title: Apoda Haworth, 1809

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/9ln-y9t-vk7
title: Mimas tiliae Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bhf-3q8-fpa
title: Insecta

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.17026/dans-zvw-ebcc
title: PAN-00065279 - coin/coin-related, Jan III (1312-1355), esterlin

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00065279&lt;/p&gt;
description: Modified: 2020-12-08T11:33:22+01:00
DOI: 10.3535/pbf-frr-asm
title: Boloria graeca Staudinger, 1870

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ksm-5jc-64f
title: Limenitis leucophthalma (Latreille, 1811)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/mpv-m17-6s0
title: Limenitis leucophthalma (Latreille, 1811)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.17026/dans-zvw-ffy7
title: PAN-00085501 - military button, Napoleonic: fasces, Phrygian cap and République Française

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00085501&lt;/p&gt;
description: Modified: 2021-03-02T09:47:29+01:00
DOI: 10.3535/17t-69y-7sd
title: Mellicta athalia (von Rottemburg, 1775)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xdm-f01-wcg
title: Phyciodes tharos Drury, 1773

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/19t-j4m-yr5
title: Notodonta ziczac (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rf4-870-vsy
title: Habrosyne pyritoides (Hufnagel, 1766)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.17026/dans-zvw-fwvd
title: Archeologisch onderzoek bergbezinkbassin Marnixstraat te Alphen aan den Rijn
title: Bureauonderzoek en inventariserend veldonderzoek

description: &lt;p&gt;onderzoeksrapport&lt;/p&gt;
description: &lt;p&gt;GAR 514&lt;/p&gt;
description: &lt;p&gt;Bureauonderzoek en inventariserend veldonderzoek&lt;/p&gt;
DOI: 10.3535/bgp-25a-mmh
title: Euphydryas Scudder, 1872

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/604-xb1-aae
title: Clossiana selenis (Eversmann, 1837)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fz5-rsa-1yg
title: Catonephele numilia Cramer, 1779

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4sd-y3x-evl
title: Insecta

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rn9-vck-nmx
title: Parathyma selenophora leucophryne (Fruhstorfer, 1912)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2nj-8k6-9ba
title: Euphydryas Scudder, 1872

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/sbh-acf-lpj
title: Macroglossum stellatarum Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.17026/dans-zvw-g8vk
title: PAN-00045061 - decorative Roman horse gear fitting group B9

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00045061&lt;/p&gt;
description: Modified: 2019-10-11T16:48:27+02:00
DOI: 10.3535/ehm-dsx-3cn
title: Hypolimnas misippus Linnaeus, 1764

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/n6g-886-nh2
title: Sphinx ligustri Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/z8b-hyt-tvx
title: Furcula furcula (Clerck, 1759)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/06x-l6b-y1j
title: Melitaea diamina (Lang, 1789)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/d6n-p8n-p54
title: Argyronome laodice (Pallas, 1771)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.