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

description: A dataset containing 7578 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Phoenicopterus ruber)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 7578 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074995-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/a3kp-kp41
title: "LLMMedical consultaton"

description: "Utilizing a comprehensive dataset consisting of 488 rows and 4 columns encompassing disease symptoms and treatment information, this research aims to merge four datasets into a single entity while eliminating duplicate values. Moreover, it proposes a robust framework for the secure implementation of artificial intelligence in healthcare. This method entails querying a curated medical dataset to as certain suitable treatments based on user input regarding symptoms or diseases. It also emphasizes the need for professional medical consultation in emergency situations while providing concise and actionable recommendations."
DOI: 10.25625/maq7nx/cazove
title: camera_image_0351.png

description: :unav
DOI: 10.3535/c4f-436-sax
title: Stelis ophioglossoides (Jacq.) Sw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/tmc-yec-67q
title: Dichaea morrisii Fawc. & Rendle

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.25625/maq7nx/ks0fos
title: camera_image_0347.png

description: :unav
DOI: 10.3535/c6q-nbj-d7r
title: Minaria cordata (Turcz.) T. U. P. Konno & Rapini

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/m7k-635-b42
title: Juncus rechingeri Snogerup

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.25625/maq7nx/cvcbcd
title: camera_image_0353.png

description: :unav
DOI: 10.3535/k73-tld-k2l
title: Minaria cordata (Turcz.) T. U. P. Konno & Rapini

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.25625/maq7nx/arqhhq
title: camera_image_0348.png

description: :unav
DOI: 10.3535/5mx-s91-kmh
title: Potamogeton pusillus L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/b33-4vk-q02
title: Conchocarpus ruber (A. St.-Hil.) Bruniera & Groppo

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.25625/maq7nx/btrxlk
title: camera_image_0350.png

description: :unav
DOI: 10.3535/3mv-w5y-fk6
title: Lepechiniella microcarpa (Boiss.) Riedl

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/f5v-ta4-3ma
title: Lomariopsis Fée

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.25625/maq7nx/l3xdtt
title: camera_image_0006.png

description: :unav
DOI: 10.3535/pzf-gw1-2tn
title: Epidendrum anceps Jacq.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.25625/maq7nx/ejxkhf
title: camera_image_0007.png

description: :unav
DOI: 10.3535/24r-7e6-8jg
title: Peplonia adnata (E. Fourn.) U. C. S. Silva & Rapini

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/lqs-nk5-vej
title: Anathallis sertularioides (Sw.) Pridgeon & M.W.Chase

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.25625/maq7nx/a3j6c9
title: camera_image_0009.png

description: :unav
DOI: 10.3535/2x3-yzl-b75
title: Guettarda uruguensis Cham. & Schltdl.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/gvz-8pq-jhv
title: Homalopetalum vomeriforme (Sw.) Fawc. & Rendle

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.25625/maq7nx/nztege
title: camera_image_0008.png

description: :unav
DOI: 10.3535/5vt-m18-7em
title: Govenia utriculata (Sw.) Lindl.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/mk5-cwk-bqe
title: Dianthus L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.25625/maq7nx/klcz2q
title: camera_image_0030.png

description: :unav
DOI: 10.3535/kyy-nz4-6jl
title: Dinema polybulbon (Sw.) Lindl.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/lap-mfv-pp7
title: Melampyrum barbatum subsp. carstiense Ronniger

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.25625/maq7nx/9ucah4
title: camera_image_0028.png

description: :unav
DOI: 10.3535/1vk-4yl-s8g
title: Specklinia lanceola (Sw.) Lindl.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/2zj-ddk-439
title: Metastelma burchellii (Hook. & Arn.) Rapini

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.25625/maq7nx/tj4unt
title: camera_image_0031.png

description: :unav
DOI: 10.3535/e8t-d3l-p9p
title: Dichaea pendula (Aubl.) Cogn.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ptg-jzk-ha3
title: Cestrum parviflorum Dunal

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.25625/maq7nx/um7kbd
title: camera_image_0029.png

description: :unav
DOI: 10.3535/25z-lfx-f64
title: Tolumnia triquetra (Sw.) Nir

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/pn0-dj3-r5x
title: Philibertia peduncularis (Benth.) Goyder

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15156/bio/sh1400173.10fu
title: SH1400173.10FU

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/sh1400174.10fu
title: SH1400174.10FU

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/sh1400180.10fu
title: SH1400180.10FU

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/sh1400181.10fu
title: SH1400181.10FU

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/sh1400182.10fu
title: SH1400182.10FU

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/sh1400185.10fu
title: SH1400185.10FU

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/sh1400191.10fu
title: SH1400191.10FU

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/sh1400194.10fu
title: SH1400194.10FU

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/sh1400198.10fu
title: SH1400198.10FU

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: 10.22008/fk2/iw73uu/fmsdhl
title: UWN_hour.nc

description: Uploaded with pyDataverse 2024-04-11 15:26
DOI: 10.22008/fk2/iw73uu/tcxny0
title: UWN_day.nc

description: Uploaded with pyDataverse 2024-04-11 15:26
DOI: 10.22008/fk2/iw73uu/34iluq
title: UWN_month.nc

description: Uploaded with pyDataverse 2024-04-11 15:26
DOI: 10.22008/fk2/iw73uu/a7sor9
title: WEG_B_day.csv

description: Uploaded with pyDataverse 2024-04-11 15:26
DOI: 10.22008/fk2/iw73uu/fcxyha
title: WEG_B_hour.csv

description: Uploaded with pyDataverse 2024-04-11 15:26
DOI: 10.22008/fk2/iw73uu/ql1oml
title: WEG_B_month.csv

description: Uploaded with pyDataverse 2024-04-11 15:26
DOI: 10.22008/fk2/iw73uu/5exki7
title: WEG_B_hour.nc

description: Uploaded with pyDataverse 2024-04-11 15:27
DOI: 10.22008/fk2/iw73uu/0hcydq
title: WEG_B_day.nc

description: Uploaded with pyDataverse 2024-04-11 15:27
DOI: 10.15468/dl.fu7btb
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepidoblepharis miyatai"
 ]
}

 The dataset includes 68 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024996-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22008/fk2/iw73uu/jgkot4
title: ZAK_Uv3_day.csv

description: Uploaded with pyDataverse 2024-04-11 15:27
DOI: 10.22008/fk2/iw73uu/tbee2j
title: WEG_B_month.nc

description: Uploaded with pyDataverse 2024-04-11 15:27
DOI: 10.15468/dl.t63kxh
title: Occurrence Download

description: A dataset containing 395 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hipposideros cineraceus"
 ]
}

 The dataset includes 395 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025001-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22008/fk2/iw73uu/aw17ut
title: ZAK_Uv3_hour.csv

description: Uploaded with pyDataverse 2024-04-11 15:27
DOI: 10.22008/fk2/iw73uu/a0conm
title: ZAK_Uv3_month.csv

description: Uploaded with pyDataverse 2024-04-11 15:28
DOI: 10.22008/fk2/iw73uu/pvqtyy
title: ZAK_Uv3_hour.nc

description: Uploaded with pyDataverse 2024-04-11 15:28
DOI: 10.22008/fk2/iw73uu/zwtqhs
title: ZAK_Uv3_day.nc

description: Uploaded with pyDataverse 2024-04-11 15:28
DOI: 10.15468/dl.9ngaes
title: Occurrence Download

description: A dataset containing 6550882 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ericaceae, Empetraceae, Pyrolaceae, Monotropaceae)",
 "Country is one of (Albania, Andorra, Austria, Bosnia and Herzegovina, Belgium, Bulgaria, Belarus, Switzerland, Cyprus, Czechia, Germany, Denmark, Estonia, Spain, Finland, France, United Kingdom of Great Britain and Northern Ireland, Greece, Croatia, Hungary, Ireland, Iceland, Italy, Liechtenstein, Lithuania, Luxembourg, Latvia, Monaco, Moldova, Republic of, Montenegro, North Macedonia, Malta, Netherlands, Norway, Poland, Portugal, Romania, Serbia, Russian Federation, Sweden, Slovenia, Slovakia, San Marino, Türkiye, Ukraine, Holy See, Kosovo)"
 ]
}

 The dataset includes 6550882 records from 3061 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024957-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9hvlep
title: Occurrence Download

description: A dataset containing 871534304 species occurrences available in GBIF matching the query:
{ }

 The dataset includes 871534304 records from 18082 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035094-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nhc2k8
title: Occurrence Download

description: A dataset containing 5265 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Caesalpinia coriaria",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5265 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004738-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e246210v1
title: Faculty of Nursing Sciences, Shanahan University, Onitsha, Anambra.2026/2027 Admission Form/Application Form Is Out Call the Registrar (09024168245)09024168245(09024168245) For More Details On How To Apply And Register Online.

description: Faculty of Nursing Sciences, Shanahan University, Onitsha, Anambra.2026/2027 Admission Form/Application Form Is Out Call the Registrar (09024168245)09024168245(09024168245) For More Details On How To Apply And Register Online. The Management Of The School Hereby Inform The general Public On The Sales Of The General Nursing Admission Form Into The School Of Nursing, And Also The Sales Of Two (2) Years Post Basic Nursing Program. Contact The Educational Board Admin On (09024168245) For More Details On How To Purchase The Form And Register Online. REQUIREMENT FOR THE THREE YEARS GENERAL NURSING PROGRAMMES1. GENERAL NURSING PROGRAMME Admission Requirements Candidates For Admission Into The General Nursing Program Of The Nursing And Midwifery Council Of Nigeria Must Posses The …
DOI: 10.3886/e246211v1
title: College of Nursing Sciences, ATBUTH, Bauchi, Bauchi State.2026/2027 Admission Form/Application Form Is Out Call the Registrar (09024168245)09024168245(09024168245) For More Details On How To Apply And Register Online.

description: College of Nursing Sciences, ATBUTH, Bauchi, Bauchi State.2026/2027 Admission Form/Application Form Is Out Call the Registrar (09024168245)09024168245(09024168245) For More Details On How To Apply And Register Online. The Management Of The School Hereby Inform The general Public On The Sales Of The General Nursing Admission Form Into The School Of Nursing, And Also The Sales Of Two (2) Years Post Basic Nursing Program. Contact The Educational Board Admin On (09024168245) For More Details On How To Purchase The Form And Register Online. REQUIREMENT FOR THE THREE YEARS GENERAL NURSING PROGRAMMES1. GENERAL NURSING PROGRAMME Admission Requirements Candidates For Admission Into The General Nursing Program Of The Nursing And Midwifery Council Of Nigeria Must Posses The …