cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.9hjrdt
title: Occurrence Download

description: A dataset containing 236438 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "TaxonKey is one of (Aponogeton distachyos L.f., Arthurdendyus triangulatus (Dendy, 1895), Cabomba caroliniana A.Gray, Callosciurus finlaysonii (Horsfield, 1823), Cherax destructor Clark, 1936, Corvus splendens Vieillot, 1817, Crassula helmsii (Kirk) Cockayne, Elodea densa (Planch.) Casp., Eriocheir sinensis H.Milne Edwards, 1853, Erythranthe guttata (DC.) G.L.Nesom, Faxonius immunis (Hagen, 1870), Faxonius juvenilis (Hagen, 1870), Faxonius rusticus (Girard, 1852), Faxonius virilis (Hagen, 1870), Gambusia affinis (Baird & Girard, 1853), Heracleum mantegazzianum Sommier & Levier, Heracleum persicum Desf. ex Fisch., C.A.Mey. & Avé-Lall., Heracleum pubescens (Hoffm.) M.Bieb., Houttuynia cordata Thunb., Hydrocotyle ranunculoides L.f., Impatiens glandulifera Royle, Koenigia polystachya (Wall. ex Meisn.) T.M.Schust. & Reveal, Lagarosiphon major (Ridl.) Moss, Lepomis gibbosus (Linnaeus, 1758), Limnoperna fortunei (Dunker, 1857), Ludwigia grandiflora (Michx.) Greuter & Burdet, Ludwigia peploides (Kunth) P.H.Raven, Lysichiton americanus Hultén & H.St.John, Morone americana (Gmelin, 1789), Muntiacus reevesi (Ogilby, 1839), Myriophyllum aquaticum (Vell.) Verdc., Myriophyllum heterophyllum Michx., Pacifastacus leniusculus (Dana, 1852), Petasites japonicus (Siebold & Zucc.) Maxim., Pontederia cordata L., Procambarus acutus (Girard, 1852), Procambarus clarkii (Girard, 1852), Procambarus virginalis Lyko, 2017, Pseudorasbora parva (Temminck & Schlegel, 1846), Pycnonotus cafer (Linnaeus, 1766), Saururus cernuus L., Sciurus carolinensis Gmelin, 1788, Sciurus niger Linnaeus, 1758, Solenopsis invicta Buren, 1972, Solenopsis richteri Forel, 1909, Threskiornis aethiopicus (Latham, 1790), Vespa velutina Lepeletier, 1836, Zizania latifolia (Griseb.) Hance ex F.Muell.)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 236438 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005162-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive17057.20241212.9.2
title: Thermosipho atlanticus Urios et al. 2004

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive17058.20241212.9.2
title: Thermosipho globiformans Kuwabara et al. 2011

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive17059.20241212.9.2
title: Thermosipho affectus Podosokorskaya et al. 2011

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive17060.20241212.9.2
title: Thermotoga maritima Stetter and Huber 1986

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive17061.20241212.9.2
title: Thermotoga neapolitana Jannasch et al. 1989

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive17063.20241212.9.2
title: Pseudothermotoga thermarum (Windberger et al. 1992) Bhandari and Gupta 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive17065.20241212.9.2
title: Pseudothermotoga elfii (Ravot et al. 1995) Bhandari and Gupta 2014 emend. Belahbib et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive17067.20241212.9.2
title: Pseudothermotoga hypogea (Fardeau et al. 1997) Bhandari and Gupta 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive17068.20241212.9.2
title: Thermotoga petrophila Takahata et al. 2001

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive17069.20241212.9.2
title: Thermotoga naphthophila Takahata et al. 2001

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive17070.20241212.9.2
title: Pseudothermotoga lettingae (Balk et al. 2002) Bhandari and Gupta 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive17072.20241212.9.2
title: Kosmotoga arenicorallina Nunoura et al. 2011

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive17075.20241212.9.2
title: Mesotoga prima Nesbø et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive17078.20241212.9.2
title: Leucothrix mucor Oersted 1844

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive17079.20241212.9.2
title: Thiothrix nivea (Rabenhorst 1865) Winogradsky 1888 emend. Larkin and Shinabarger 1983

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive17081.20241212.9.2
title: Thiolinea disciformis (Aruga et al. 2002) Boden and Scott 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive17082.20241212.9.2
title: Thiofilum flexile (Aruga et al. 2002) Boden and Scott 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive17083.20241212.9.2
title: Thiothrix caldifontis Chernousova et al. 2009

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive17084.20241212.9.2
title: Thiothrix lacustris Chernousova et al. 2009

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive17085.20241212.9.2
title: Truepera radiovictrix Albuquerque et al. 2005

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive17087.20241212.9.2
title: Tsukamurella paurometabola (Steinhaus 1941) Collins et al. 1988 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive17093.20241212.9.2
title: Tsukamurella spumae Nam et al. 2003

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive17098.20241212.9.2
title: Tsukamurella inchonensis Yassin et al. 1995

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive17100.20241212.9.2
title: Tsukamurella pulmonis Yassin et al. 1996 emend. Teng et al. 2016

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.5281/zenodo.15044554
title: DuneFront deliverable D4.2 - Biological boundary conditions

description: The European project DuneFront (https://dunefront.eu, https://cordis.europa.eu/project/id/101135410) is working to improve coastal protection across Europe by using Nature-based Solutions (NbS), such as Dune-Dike hybrids (DD-hybrids), to defend coastlines from extreme weather and rising sea levels. Within this project, this “Biological boundary conditions” deliverable focuses on developing species distribution models at kilometric scale for key dune species.

The dataset is made of a number of multi-layer geopackage files (folder BART-maps) containing model predictions by species, as well as a series of csv files containing information about each model's performance (folder BART-maps). See the attached deliverable report (pdf - upcoming in version v1.0) for detailed information on each file, use notes, literature references, and links to the underlying code.
DOI: 10.13145/bacdive17101.20241212.9.2
title: Tsukamurella tyrosinosolvens Yassin et al. 1997 emend. Teng et al. 2016

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive17106.20241212.9.2
title: Tsukamurella pseudospumae Nam et al. 2004 emend. Teng et al. 2016

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive17108.20241212.9.2
title: Tsukamurella pseudospumae Nam et al. 2004 emend. Teng et al. 2016

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive17109.20241212.9.2
title: Tsukamurella tyrosinosolvens Yassin et al. 1997 emend. Teng et al. 2016

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13140/rg.2.2.16762.77767
title: Analysis Attachment for 'Convention cultivating stigma - (...)' (Bieńkowska, 2023)
DOI: 10.13140/rg.2.2.10261.60640
title: cat head
DOI: 10.15468/dl.2j7fjf
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "OccurrenceStatus is Present",
 "TaxonKey is Corvus hawaiiensis",
 "Year 2000-2025"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047373-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.36790.57928
title: Hổng "hỉu" luôn
DOI: 10.13140/rg.2.2.28768.97289
title: Coronavirus bulletin - 23-01-13
DOI: 10.13140/rg.2.2.32963.27680
title: Cygnus olor
DOI: 10.13140/rg.2.2.33487.56488
title: Lymantria dispar caterpillar
DOI: 10.13140/rg.2.2.34326.42561
title: Penjom Project Data
DOI: 10.13140/rg.2.2.14719.28329
title: Publication Certificate.pdf
DOI: 10.13140/rg.2.2.11573.55522
title: Characterization of physical properties of SnO2 by hydrothermal method
DOI: 10.13140/rg.2.2.20827.23840
title: UJIAN KOMPETENSI-4 PENGANTAR DIPLOMASI
DOI: 10.13140/rg.2.2.21508.81281
title: ConsoleApp_String: AZUBE.c
DOI: 10.13140/rg.2.2.10393.90722
title: FunktionWin: GAMMA.c
DOI: 10.13140/rg.2.2.17982.97607
title: FITNESS ASSIGNMENT SPS 201. COMBAT SPORT
DOI: 10.6084/m9.figshare.28031214
title: Structural damage identification and classification from time-frequency impact echo data using deep learning

description: Deep learning advancements have enabled non-destructive crack detection, yet it remains inadequate to quantitatively identify and evaluate the structural damage states leveraging deep learning with impact echo (IE). Therefore, the present study proposes a method to achieve this target on concrete structures, utilising Convolutional Neural Networks (CNNs) and IE. During the experiments, a reinforced concrete beam was loaded to simulate various damage levels. The IE test was conducted on the pure bending zone of the beam, and the obtained data were transformed into two-dimensional (2D) time-frequency data for a six-state damage dataset. Subsequently, several CNNs were used for training, testing, and analysing their performance. The findings revealed the networks’ proficiency in distinguishing various degrees of damage. Among them, GoogLeNet emerged as the most accurate classifier. Further analysis indicated that GoogLeNet, trained with datasets from at least two monitoring units, significantly outperformed those trained using datasets from a single unit, achieving a remarkable F1 score of no less than 0.778. Additionally, the study compared 1D and 2D GoogLeNet models trained on different data formats. The results showed that the model trained on 2D time-frequency data can achieve a higher accuracy of 0.984, surpassing the 1D model trained on time-series data.
DOI: 10.6084/m9.figshare.28031214.v1
title: Structural damage identification and classification from time-frequency impact echo data using deep learning

description: Deep learning advancements have enabled non-destructive crack detection, yet it remains inadequate to quantitatively identify and evaluate the structural damage states leveraging deep learning with impact echo (IE). Therefore, the present study proposes a method to achieve this target on concrete structures, utilising Convolutional Neural Networks (CNNs) and IE. During the experiments, a reinforced concrete beam was loaded to simulate various damage levels. The IE test was conducted on the pure bending zone of the beam, and the obtained data were transformed into two-dimensional (2D) time-frequency data for a six-state damage dataset. Subsequently, several CNNs were used for training, testing, and analysing their performance. The findings revealed the networks’ proficiency in distinguishing various degrees of damage. Among them, GoogLeNet emerged as the most accurate classifier. Further analysis indicated that GoogLeNet, trained with datasets from at least two monitoring units, significantly outperformed those trained using datasets from a single unit, achieving a remarkable F1 score of no less than 0.778. Additionally, the study compared 1D and 2D GoogLeNet models trained on different data formats. The results showed that the model trained on 2D time-frequency data can achieve a higher accuracy of 0.984, surpassing the 1D model trained on time-series data.
DOI: 10.15493/dea.mims.09312023
title: Long-term observations of hourly bottom temperatures at Sodwana Bay (September 2018 - February 2019)

description: Bottom temperatures
description: Here we present processed hourly subsurface temperatures from Underwater Temperature Records (UTRs) located at a depth of 18m off Sodwana Bay (27.41483°S 32.72667°E), along the east coast of South Africa, between 14 September 2018 and 20 February 2019. At selected sites around Southern Africa, UTRs have been used to obtain long-term records of bottom temperature in the nearshore environment, at depths ranging from 2m to 34m.
description: A subsurface-mounted UTR was deployed at a depth of 18m off Sodwana Bay (27.41483°S; 32.72667°E), along the east coast of South Africa. The instrument measured hourly temperature readings between 14 September 2018 14h00 and 20 February 2019 10h00.
DOI: 10.13140/rg.2.2.36149.55526
title: 3D movie of 2009-2016 seismicity preceding the 24th August Amatrice mainshock
DOI: 10.15493/dea.mims.11902023
title: Long-term observations of hourly bottom temperatures at Ystervarkpunt (November 2019 - August 2022)

description: Processed hourly subsurface temperatures from Underwater Temperature Recorders (UTRs) located at a depth of 3m off Ystervarkpunt (34.395°S; 21.7305°E), along the south coast of South Africa, between 21 November 2019 and 05 August 2022.
description: Here we present processed hourly subsurface temperatures from Underwater Temperature Recorders (UTRs) located at a depth of 3m off Ystervarkpunt (34.395°S; 21.7305°E), along the south coast of South Africa, between 21 November 2019 and 05 August 2022. At selected sites around Southern Africa, UTRs have been used to obtain long-term records of bottom temperatures in the nearshore environment, at depths ranging from 2m to 34m. Note that for some deployments, two UTRs were deployed to simultaneously record bottom temperatures.
description: Subsurface-mounted, Underwater Temperature Recorder(s) (UTR) were deployed at a depth of 3m off Ystervarkpunt (34.395°S; 21.7305°E), along the south coast of South Africa. The instrument measured hourly temperature readings between 21 November 2019 10h00 and 05 August 2022 10h00.
DOI: 10.13140/rg.2.2.22675.35367
title: Бахмал тумани ландшафтларини деҳқончилик мақсадида баҳолаш
DOI: 10.15468/dl.zht3cu
title: Occurrence Download

description: A dataset containing 17343 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "TaxonKey is Giraffa",
 "Year 1000-2025"
 ]
}

 The dataset includes 17343 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047374-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15493/dea.mims.11912023
title: Raw temperature data for long-term observations of bottom temperatures at Ystervarkpunt (November 2019 - August 2022)

description: Raw temperatures from Underwater Temperature Recorders (UTRs) located at a depth of 3m off Ystervarkpunt (34.395°S; 21.7305°E), along the south coast of South Africa, between 21 November 2019 and 05 August 2022.
description: Here we present raw temperatures from Underwater Temperature Recorders (UTRs) located at a depth of 3m off Ystervarkpunt (34.395°S; 21.7305°E), along the south coast of South Africa, between 21 November 2019 and 05 August 2022. At selected sites around Southern Africa, UTRs have been used to obtain long-term records of bottom temperature in the nearshore environment, at depths ranging from 2m to 34m. Note that for some deployments, two UTRs were deployed to simultaneously record bottom temperatures.
description: The raw data was collected using Underwater Temperature Recorder(s) (UTR) that was configured to sample every 60 minutes. The subsurface-mounted, Underwater Temperature Recorder(s) (UTR) was deployed at a depth of 3m off Ystervarkpunt (34.395°S; 21.7305°E), along the south coast of South Africa. The instrument(s) measured hourly temperature readings between 21 November 2019 and 05 August 2022.
DOI: 10.15493/dea.mims.09522023
title: Raw temperature data for long-term observations of bottom temperatures at Mangolds Pool, South Africa (August 2000 - March 2001)

description: Long-term monitoring of Nearshore Temperatures around Southern Africa
description: Here we present raw temperatures from Underwater Temperature Recorders (UTRs) located at a depth of 5m off Mangolds Pool, South Africa (34.0487°S; 25.5867°E), along the south coast of Southern Africa, between 2 August 2000 and 25 March 2001. Note that the data that falls outside of these dates is not from the deployment. At selected sites around Southern Africa, UTRs have been used to obtain long-term records of bottom temperature in the nearshore environment, at depths ranging from 2m to 34m. Note that for some deployments, two UTRs were deployed to simultaneously record bottom temperatures. 
description: The raw data was collected using Underwater Temperature Recorder(s) (UTR) that was configured to sample every 60 minutes. The subsurface-mounted UTR was deployed at a depth of 5m off Mangolds Pool, South Africa (-34.0487°S; 25.5867°E), along the south coast of Southern Africa. The instrument measured hourly temperature readings between 2 August 2000 and 25 March 2001.
DOI: 10.13140/rg.2.2.34524.26244
title: Screenshot 20230121-104516
DOI: 10.15493/dea.mims.09602023
title: Long-term observations of hourly bottom temperatures at Mangolds Pool, South Africa (January 1992 - May 1992)

description: Long-term monitoring of Nearshore Temperatures around Southern Africa
description: Here we present processed hourly subsurface temperatures from Underwater Temperature Recorders (UTRs) located at a depth of 5m off Mangolds Pool, South Africa (34.0487°S; 25.5867°E), along the south coast of Southern Africa, between 28 January 1992 and 11 May 1992. At selected sites around Southern Africa, UTRs have been used to obtain long-term records of bottom temperatures in the nearshore environment, at depths ranging from 2m to 34m. Note that for some deployments, two UTRs were deployed to simultaneously record bottom temperatures. 
description: Subsurface-mounted, Underwater Temperature Recorder(s) (UTR) were deployed at a depth of 5m off Mangolds Pool, South Africa (34.0487°S; 25.5867°E), along the south coast of Southern Africa. The instrument measured hourly temperature readings between 28 January 1992 17h00 and 11 May 1992 15h00.
DOI: 10.15493/dea.mims.09332023
title: Long-term observations of hourly bottom temperatures at Sodwana Bay (November 2019 - April 2021)

description: Bottom temperatures
description: Here we present processed hourly subsurface temperatures from Underwater Temperature Records (UTRs) located at a depth of 18m off Sodwana Bay (27.41483°S 32.72667°E), along the east coast of South Africa, between 05 November 2019 and 21 April 2021. At selected sites around Southern Africa, UTRs have been used to obtain long-term records of bottom temperature in the nearshore environment, at depths ranging from 2m to 34m.
description: A subsurface-mounted UTR was deployed at a depth of 18m off Sodwana Bay (27.41483°S; 32.72667°E), along the east coast of South Africa. The instrument measured hourly temperature readings between 05 November 2019 08h00 and 21 April 2021 06h00.
DOI: 10.15493/dea.mims.09482023
title: Raw temperature data for long-term observations of bottom temperatures at Mangolds Pool, South Africa (November 1995 - April 1996)

description: Long-term monitoring of Nearshore Temperatures around Southern Africa
description: Here we present raw temperatures from Underwater Temperature Recorders (UTRs) located at a depth of 5m off Mangolds Pool, South Africa (34.0487°S; 25.5867°E), along the south coast of Southern Africa, between 3 November 1995 and 29 April 1996. Note that the data that falls outside of these dates is not from the deployment. At selected sites around Southern Africa, UTRs have been used to obtain long-term records of bottom temperature in the nearshore environment, at depths ranging from 2m to 34m. Note that for some deployments, two UTRs were deployed to simultaneously record bottom temperatures. 
description: The raw data was collected using Underwater Temperature Recorder(s) (UTR) that was configured to sample every 60 minutes. The subsurface-mounted UTR was deployed at a depth of 5m off Mangolds Pool, South Africa (-34.0487°S; 25.5867°E), along the south coast of Southern Africa. The instrument measured hourly temperature readings between 3 November 1995 and 29 April 1996.