cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.mfusy2
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-93.2675476000000003 37.1963112999999979, -93.2675476000000003 37.1977963599999981, -93.2675476000000003 37.1992220200000006, -93.2675476000000003 37.2002318600000024, -93.2675476000000003 37.2011229000000014, -93.2675476000000003 37.2023703500000025, -93.2675476000000003 37.2036178000000035, -93.2665354399999984 37.2036178000000035, -93.2652851200000015 37.2036178000000035, -93.2636775600000050 37.2036178000000035, -93.2624272500000018 37.2036178000000035, -93.2615937000000059 37.2036178000000035, -93.2615937000000059 37.2023109499999975, -93.2615937000000059 37.2017169200000026, -93.2615937000000059 37.2007070800000008, -93.2615937000000059 37.1992220200000006, -93.2615937000000059 37.1986279999999994, -93.2615937000000059 37.1977369600000003, -93.2615937000000059 37.1963112999999979, -93.2627249399999982 37.1963112999999979, -93.2641538799999950 37.1963112999999979, -93.2652851200000015 37.1963112999999979, -93.2665354399999984 37.1963112999999979, -93.2675476000000003 37.1963112999999979))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077343-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kebdj9
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Serjania inflata Poepp. & Endl."
 ]
}

 The dataset includes 68 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0125835-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bhjy6g
title: Occurrence Download

description: A dataset containing 3096 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-93.2953561000000064 37.1968590999999975, -93.2953561000000064 37.1989127499999981, -93.2953561000000064 37.2017365100000035, -93.2953561000000064 37.2034050999999977, -93.2953561000000064 37.2053304000000011, -93.2953561000000064 37.2069989900000024, -93.2953561000000064 37.2096943999999965, -93.2921506699999981 37.2096943999999965, -93.2898428700000011 37.2096943999999965, -93.2874068499999964 37.2096943999999965, -93.2845862000000068 37.2096943999999965, -93.2821501899999959 37.2096943999999965, -93.2806116499999973 37.2096943999999965, -93.2780474199999929 37.2096943999999965, -93.2763806699999947 37.2096943999999965, -93.2740728699999977 37.2096943999999965, -93.2704829500000017 37.2096943999999965, -93.2668930300000056 37.2096943999999965, -93.2649698599999937 37.2096943999999965, -93.2613798000000003 37.2096943999999965, -93.2613798000000003 37.2072556899999967, -93.2613798000000003 37.2055871000000025, -93.2613798000000003 37.2028916900000013, -93.2613798000000003 37.2010947500000029, -93.2613798000000003 37.1990411000000023, -93.2613798000000003 37.1968590999999975, -93.2636877500000026 37.1968590999999975, -93.2661237599999993 37.1968590999999975, -93.2698418899999950 37.1968590999999975, -93.2731753900000058 37.1968590999999975, -93.2765088799999944 37.1968590999999975, -93.2790731099999988 37.1968590999999975, -93.2817655500000029 37.1968590999999975, -93.2834323000000012 37.1968590999999975, -93.2862529500000051 37.1968590999999975, -93.2885607599999958 37.1968590999999975, -93.2924071000000055 37.1968590999999975, -93.2953561000000064 37.1968590999999975))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 3096 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077352-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2zxgce
title: Occurrence Download

description: A dataset containing 434 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Philodendron hylaeae G.S.Bunting"
 ]
}

 The dataset includes 434 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073974-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rbhd4v
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Turbonilla abrupta K.J.Bush"
 ]
}

 The dataset includes 66 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0100757-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r3z4j8
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Peanut stunt virus"
 ]
}

 The dataset's 1 records were derived from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008626-240425142415019/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vjfwu5
title: Occurrence Download

description: A dataset containing 1177 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Philodendron inaequilaterum Liebm."
 ]
}

 The dataset includes 1177 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073985-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j6yd3v
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cubatyphlops biminiensis (Richmond, 1955))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 12 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042502-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wzf7jr
title: Occurrence Download

description: A dataset containing 1680 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Uma paraphygas Williams, Chrapliwy & Smith, 1959)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1680 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042477-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5whrvc
title: Occurrence Download

description: A dataset containing 22930 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Halcyon albiventris",
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Year 2011-2021",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen, Material citation, Material sample)"
 ]
 }
 }
 ]
}

 The dataset includes 22930 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073016-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rhnbx9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Opisthotropis tamdaoensis Ziegler, David & Vu, 2008)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042524-230224095556074/datasets/export for details.
DOI: 10.15468/dl.2d6hst
title: Occurrence Download

description: A dataset containing 11136 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pultenaea daphnoides J.C.Wendl.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11136 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042462-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3ryjk7
title: Occurrence Download

description: A dataset containing 149 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Nephrurus sheai Couper, 1994, Nephrurus sheai Couper In Couper & Gregson, 1994)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 149 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042487-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xx6jdw
title: Occurrence Download

description: A dataset containing 1320 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "OccurrenceStatus is Present",
 "TaxonKey is Erythrophleum africanum (Benth.) Harms"
 ]
}

 The dataset includes 1320 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008633-240425142415019/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10458421
title: Seamless integration of conducting hydrogels in daily life: from preparation to wearable application

description: The dataset contains the recent advances in the development of CHs for smart wearable devices. We summarize the synthesis of conducting polymers and the various approaches used to prepare CHs. We also analyze their properties and discuss the fabrication of specific geometries to improve the performance of the final CH-based wearable devices.. The studies presented herein contribute to the growing field of wearable devices by highlighting the potential of CHs as versatile and functional material platforms. The development and integration of CHs present challenges and opportunities that highlight the need for novel fabrication techniques and advanced materials.
DOI: 10.5281/zenodo.10458422
title: Seamless integration of conducting hydrogels in daily life: from preparation to wearable application

description: The dataset contains the recent advances in the development of CHs for smart wearable devices. We summarize the synthesis of conducting polymers and the various approaches used to prepare CHs. We also analyze their properties and discuss the fabrication of specific geometries to improve the performance of the final CH-based wearable devices.. The studies presented herein contribute to the growing field of wearable devices by highlighting the potential of CHs as versatile and functional material platforms. The development and integration of CHs present challenges and opportunities that highlight the need for novel fabrication techniques and advanced materials.
DOI: 10.5281/zenodo.7142638
title: Sars-escape network for escape prediction of SARS-COV-2

description: This dataset belongs to a paper Sars-escape network for escape prediction of SARS-COV-2 Prem Singh Bist, Hilal Tayara, Kil To Chong <em>Briefings in Bioinformatics</em>, Volume 24, Issue 3, May 2023, bbad140, https://doi.org/10.1093/bib/bbad140 Abstract <strong>Motivation: </strong>Viruses have coevolved with their hosts for over millions of years and learned to escape the host's immune system. Although not all genetic changes in viruses are deleterious, some significant mutations lead to the escape of neutralizing antibodies and weaken the immune system, which increases infectivity and transmissibility, thereby impeding the development of antiviral drugs or vaccines. Accurate and reliable identification of viral escape mutational sequences could be a good indicator for therapeutic design. We developed a computational model that recognizes significant mutational sequences based on escape feature identification using natural language processing along with prior knowledge of experimentally validated escape mutants. <strong>Results: </strong>Our machine learning-based computational approach can recognize the significant spike protein sequences of severe acute respiratory syndrome coronavirus 2 using sequence data alone. This modelling approach can be applied to other viruses, such as influenza, monkeypox and HIV using knowledge of escape mutants and relevant protein sequence datasets. <strong>Availability: </strong>Complete source code and pre-trained models for escape prediction of severe acute respiratory syndrome coronavirus 2 protein sequences are available on Github at https://github.com/PremSinghBist/Sars-CoV-2-Escape-Model.git. <strong>Contact: </strong>premsing212@jbnu.ac.kr. <strong>Keywords: </strong>SARS-CoV-2; mutation; sequence analysis; viral escape prediction.
description: Dataset for machine learning-based computational approach to recognize the significant spike protein sequences of severe acute respiratory syndrome coronavirus 2 using sequence data alone.
DOI: 10.5281/zenodo.10628225
title: Dataset For Generative Adversarial Network expands SARS-CoV-2 Spike Protein Diversity and Escape Prediction Potential

description: This dataset encompasses and describes the following features:



Mutations in viruses like SARS-CoV-2 can make them escape vaccines and treatments.

Accurately predicting these mutations is crucial for developing effective countermeasures.

The study uses a type of AI called a Generative Adversarial Network (GAN) to analyze the virus's spike protein, which plays a key role in infection.

The GAN generates protein sequences similar to natural ones, but which are also likely to evade immune responses.

By analyzing these generated sequences, the researchers improve their AI model's ability to predict real-world escape mutations.

This improved prediction could help design better vaccines and treatments, and prepare for future viral threats.
DOI: 10.5281/zenodo.10628224
title: Generative AI in the Advancement of Viral Therapeutics for Predicting and Targeting Immune-Evasive SARS-CoV-2 Mutations

description: This dataset encompasses and describes the following features:



Mutations in viruses like SARS-CoV-2 can make them escape vaccines and treatments.

Accurately predicting these mutations is crucial for developing effective countermeasures.

The study uses a type of AI called a Generative Adversarial Network (GAN) to analyze the virus's spike protein, which plays a key role in infection.

The GAN generates protein sequences similar to natural ones, but which are also likely to evade immune responses.

By analyzing these generated sequences, the researchers improve their AI model's ability to predict real-world escape mutations.

This improved prediction could help design better vaccines and treatments, and prepare for future viral threats.
DOI: 10.5281/zenodo.10628743
title: Generative AI in the Advancement of Viral Therapeutics for Predicting and Targeting Immune-Evasive SARS-CoV-2 Mutations

description: This dataset encompasses and describes the following features:



Mutations in viruses like SARS-CoV-2 can make them escape vaccines and treatments.

Accurately predicting these mutations is crucial for developing effective countermeasures.

The study uses a type of AI called a Generative Adversarial Network (GAN) to analyze the virus's spike protein, which plays a key role in infection.

The GAN generates protein sequences similar to natural ones, but which are also likely to evade immune responses.

By analyzing these generated sequences, the researchers improve their AI model's ability to predict real-world escape mutations.

This improved prediction could help design better vaccines and treatments, and prepare for future viral threats.
DOI: 10.6084/m9.figshare.25711005.v1
title: Primers for dsRNA related topic.docx

description: Here are some primer sequences in Penaeus japonicus. This is supplementary data to the article (Double-strand RNA induces antiviral transcriptional response through the Dicer-2/AMPK/FoxO axis in an arthropod).
DOI: 10.15468/dl.v2xx8k
title: Occurrence Download

description: A dataset listing the 3479638 species recorded in GBIF matching the query:
{
 "OccurrenceStatus" : [
 "is Present"
 ]
}

 The dataset's 3479638 records were derived from 51209 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0100722-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.utnyk6
title: Occurrence Download

description: A dataset containing 1162 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sporobolus cryptandrus (Torr.) A.Gray",
 "Geometry POLYGON((-111 36, -99 36, -99 45, -111 45, -111 36))"
 ]
}

 The dataset includes 1162 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017593-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mpm8zn
title: Occurrence Download

description: A dataset containing 24596 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((7.57471 7.44365,85.42529 7.44365,85.42529 38.55635,7.57471 38.55635,7.57471 7.44365))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Turdoides squamiceps (Cretzschmar, 1827)"
 ]
}

 The dataset includes 24596 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017592-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yjmwvx
title: Occurrence Download

description: A dataset listing the 815 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is South Africa",
 "DatasetKey is Southern African Bird Atlas Project 2",
 "Geometry POLYGON((-21.79103 -40.59188,73.79103 -40.59188,73.79103 -2.40812,-21.79103 -2.40812,-21.79103 -40.59188))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (CR, EN, VU, NT, LC, DD, NE)",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2012-2025"
 ]
}

 The dataset's 815 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017584-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ewwmxs
title: Occurrence Download

description: A dataset containing 20891 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is one of (Brazil, Paraguay, Argentina)",
 "TaxonKey is Tolmomyias flaviventris (Wied-Neuwied, 1831)"
 ]
}

 The dataset includes 20891 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017594-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive16562.20241212.9.2
title: Nonomuraea candida le Roes and Meyers 2009 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/bacdive16564.20241212.9.2
title: Nonomuraea coxensis Ara et al. 2007

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive16568.20241212.9.2
title: Nonomuraea endophytica Li 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/bacdive16569.20241212.9.2
title: Nonomuraea wenchangensis Wang 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/bacdive16571.20241212.9.2
title: Nonomuraea jiangxiensis Li et al. 2012 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/bacdive16572.20241212.9.2
title: Nonomuraea soli Cao et al. 2012

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive16573.20241212.9.2
title: Nonomuraea jabiensis Camas 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/bacdive16574.20241212.9.2
title: Planobispora longispora Thiemann and Beretta 1968

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive16575.20241212.9.2
title: Planobispora rosea Thiemann 1970

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive16576.20241212.9.2
title: Planomonospora parontospora subsp. parontospora (Thiemann et al. 1967) Thiemann et al. 1968

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive16577.20241212.9.2
title: Planomonospora venezuelensis Thiemann 1970

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive16578.20241212.9.2
title: Planomonospora parontospora subsp. antibiotica Thiemann et al. 1968

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive16580.20241212.9.2
title: Planomonospora sphaerica Mertz 1994 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/bacdive16581.20241212.9.2
title: Planotetraspora mira Runmao et al. 1993

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