cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/annis-ouc1sto1652228
title: Miscellaneous Churches

description: Churches of Mexico City, Distrito Federal, Mexico, 1933
DOI: 10.25549/annis-ouc1sto1658640
title: Mexico photographs

description: The Verle and Elizabeth Annis papers contain photographs, pamphlets, postcards, correspondence, architectural designs, and other material created by Verle and Elizabeth Annis. Verle Lincoln Annis (1897-1983) was a scholar and professor of architecture at the University of Southern California until 1962. Verle Annis wrote The Architecture of Antigua Guatemala 1543-1773, published in 1968 by the University of San Carlos de Guatemala. Elizabeth Naomi Annis (née Reed) (1905-2000) was a writer, traveler, and supporter of libraries, having served as a founding member of the Friends of the Library organization at the University of California, Irvine. The physical collection consists of photographs, pamphlets, and postcards from the Annis' travels in Latin America, Spain, and Portugal; a photo index of Latin American architecture on file cards; a few architectural designs; correspondence; travel journals; Verle Annis' course materials; an unpublished manuscript by Elizabeth Annis; and other material dating from approximately 1910 to 1978.
DOI: 10.25549/annis-ouc1sto1657212
title: Peru. Pucará, 1935

description: Pucará, a town with an archaeological site of the same name to the west, Pucará, Lampa, Peru, 1935 July 15.
DOI: 10.25549/annis-ouc1sto1657213
title: Peru. Pucará, 1935

description: Pucará, a town with an archaeological site of the same name to the west, Pucará, Lampa, Peru, 1935 July 15.
DOI: 10.25549/annis-ouc1sto1651909
title: Mexico. State of Puebla, 1933-1938

description: The State of Puebla, in the highlands of south-central Mexico, Puebla, Mexico, 1933-1938.
DOI: 10.25549/annis-ouc1sto1656872
title: Mexico. Yucatán. Uxmal, 1938

description: The archaeological site of Uxmal in Yucatán, Mexico, 1938 February 22.
DOI: 10.25549/annis-ouc1sto1658290
title: Tepoztlán and Tepozteco, Tepoztlan, Mexico, 1936

description: The municipality of Tepoztlán and the archeological site of Tepozteco, Tepoztlán, Morelos, Mexico, 1936 July 10.
DOI: 10.25549/annis-ouc1sto1658298
title: Tepoztlán and Tepozteco, Tepoztlan, Mexico, 1936

description: The municipality of Tepoztlán and the archeological site of Tepozteco, Tepoztlán, Morelos, Mexico, 1936 July 10.
DOI: 10.15468/dl.bbrq52
title: Occurrence Download

description: A dataset containing 236816 records in GBIF matching the query:

SELECT DISTINCT speciesKey, species
FROM occurrence
WHERE continent = 'AFRICA'
 AND hasCoordinate = TRUE
 AND occurrenceStatus = 'PRESENT'
 AND speciesKey IS NOT NULL


 The dataset's 236816 records were derived from 5287 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001769-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/xd7-q6a-e1e
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yts-lr7-11c
title: †Pseudorbitoides trechmanni Douvillé, 1922

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/mvm-ddp-vec
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pa5-g7v-41x
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/cjw-51z-8fa
title: Foraminifera d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yv1-t8j-r1j
title: †Tarbellastraea ellisiana (Defrance, 1826)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lm3-xbs-kqp
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/m4b-08e-2s9
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/57t-20v-7n1
title: Calymene

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/j12-nmb-b6g
title: †Henryhowella asperrima (Reuss, 1850) Bold, 1960

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/cqe-19s-29k
title: Amphibia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yq3-k99-9f1
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fh4-97p-ybr
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/a7y-3tp-xyq
title: Chondrichthyes

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/s5b-dmq-8jj
title: Soricomorpha Gregory, 1910

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4he-p2h-6wd
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ah1-ylw-vl5
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/53w-1je-bbg
title: †Protocardia Beyrich, 1845

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vqj-egt-3z8
title: Aegocrioceras

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.6084/m9.figshare.29930949
title: AI-based non-destructive testing framework for predicting dielectric properties of wood without direct microwave measurement

description: Electrical properties of materials are critical to signal transmission and device performance. These properties are described by complex permittivity (<i>ε</i>*), comprising real (ε′) and imaginary (ε′) components, with loss tangent (ε′′/ε′) indicating energy dissipation as heat. Conventional methods for determining these parameters require precise sample dimensions, specialised instrumentation and stable environmentalconditions, making them costly and time-consuming. This study proposes a Deep Neural Network (DNN) framework as a non-destructive testing (NDT) method to predict dielectric properties of natural hardwood and softwood commonly used in Turkey”s wood industry. Data were obtained with waveguides, coaxial cables and a vector network analyser (VNA) using the microwave scattering technique. DNN predicts dielectric parameters based on frequency, density and wood type. Model performance was first evaluated using train, validation and test data, achieving mean absolute error (MAE), mean squared error (MSE) and root mean squared error (RMSE) values of 0.72, 1.82 and 1.08 respectively on prediction ε*. Validation on 2<sup>nd</sup> round of samples which contained new densities from different samples yielded errors of 1.76, 4.71 and 1.88. Results show strong alignment between predicted and measured values, confirming the DNN”s effectiveness for rapid, cost-efficient material characterization and qualty control in the wood-based products industry.
DOI: 10.6084/m9.figshare.29930949.v1
title: AI-based non-destructive testing framework for predicting dielectric properties of wood without direct microwave measurement

description: Electrical properties of materials are critical to signal transmission and device performance. These properties are described by complex permittivity (<i>ε</i>*), comprising real (ε′) and imaginary (ε′) components, with loss tangent (ε′′/ε′) indicating energy dissipation as heat. Conventional methods for determining these parameters require precise sample dimensions, specialised instrumentation and stable environmentalconditions, making them costly and time-consuming. This study proposes a Deep Neural Network (DNN) framework as a non-destructive testing (NDT) method to predict dielectric properties of natural hardwood and softwood commonly used in Turkey”s wood industry. Data were obtained with waveguides, coaxial cables and a vector network analyser (VNA) using the microwave scattering technique. DNN predicts dielectric parameters based on frequency, density and wood type. Model performance was first evaluated using train, validation and test data, achieving mean absolute error (MAE), mean squared error (MSE) and root mean squared error (RMSE) values of 0.72, 1.82 and 1.08 respectively on prediction ε*. Validation on 2<sup>nd</sup> round of samples which contained new densities from different samples yielded errors of 1.76, 4.71 and 1.88. Results show strong alignment between predicted and measured values, confirming the DNN”s effectiveness for rapid, cost-efficient material characterization and qualty control in the wood-based products industry.
DOI: 10.3535/538-9lg-z38
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/0a3-0yf-f7v
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5ks-ejj-35m
title: †Lunulites conica (Defrance, 1823)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/63v-kh4-zw1
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/p7d-3s9-kp9
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gc0-5dw-2fa
title: Bos taurus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/tnh-wa2-2hr
title: Sus scrofa Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/b0x-hdk-rwb
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lme-sj9-l2f
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/001-xhj-vea
title: Sagmatocythere variolata (Brady, 1878) Whatley & Maybury in Margerel, Whatley & Maybury, 1989

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ems-8yq-7g9
title: Xestoleberis (Xestoleberis) Sars, 1866

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/k65-2zp-stn
title: †Pseudorbitoides trechmanni Douvillé, 1922

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hcd-q6e-8md
title: Cervus elaphus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hj9-96k-4hv
title: Amphibia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3dq-nva-aeq
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6fy-xyv-5v1
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ts6-a04-dhe
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1p1-e6r-7et
title: Acrioceras

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wft-t2r-jkc
title: Squalus

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gzw-7xp-tm6
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6qg-gje-jyh
title: †Miogypsina Sacco, 1893

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vkz-y10-0hw
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1tz-8b8-7f5
title: Scrupocellaria van Beneden, 1845

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2zj-apk-bfa
title: †Steginoporella elegans (Milne-Edwards, 1836)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3qr-7fc-pc3
title: Gen. indet. sp. indet.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3yq-4y1-q35
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/sjs-sx2-m9y
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vv0-b00-se2
title: †Stamenocella Canu & Bassler, 1917

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yye-drz-bq8
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/23z-plt-27d
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/c4l-gzw-swg
title: Aetea Lamouroux, 1812

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/mxr-rcf-9za
title: †Miogypsina Sacco, 1893

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/tqp-ge3-6tc
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/m19-bs0-x61
title: Arca Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8hr-yf2-ne7
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/j2t-rct-1fx
title: †Miogypsina Sacco, 1893

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/tq9-tv3-gkb
title: Cupuladria canariensis (Busk, 1859)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vzx-3th-r99
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ccv-1fj-65q
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.5sk8a2
title: Occurrence Download

description: A dataset containing 426 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation)",
 "GadmGid is USA.25_1",
 "Month is one of (May, June, July, August, September)",
 "TaxonKey is Meleagris gallopavo",
 "Year 2023-2025"
 ]
}

 The dataset includes 426 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024779-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rs3f3f
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DecimalLongitude is greater than or equal to -51.5991642648804",
 "DecimalLongitude is less than or equal to -45.6196078831689",
 "DecimalLatitude is greater than or equal to -24.0207697637231",
 "DecimalLatitude is less than or equal to -20.4940683055207",
 "TaxonKey is Paxillosida",
 "HasCoordinate is true"
 ]
}

 The dataset includes 16 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024780-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1393217.10fu
title: SH1393217.10FU

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/sh1393219.10fu
title: SH1393219.10FU

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/sh1393221.10fu
title: SH1393221.10FU

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/sh1393223.10fu
title: SH1393223.10FU

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/sh1393224.10fu
title: SH1393224.10FU

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/sh1393229.10fu
title: SH1393229.10FU

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.