cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0069979.10fu
title: SH0069979.10FU

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: 10.13145/bacdive1636.20241212.9.2
title: Bartonella birtlesii Bermond et al. 2000

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0069980.10fu
title: SH0069980.10FU

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: 10.13145/bacdive1636.20251217.10
title: Bartonella birtlesii Bermond et al. 2000

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive1637.20250331.9.3
title: Bartonella bovis Bermond et al. 2002

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0069981.10fu
title: SH0069981.10FU

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: 10.13145/bacdive1637.20251217.10
title: Bartonella bovis Bermond et al. 2002

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0069982.10fu
title: SH0069982.10FU

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: 10.13145/bacdive1638.20250331.9.3
title: Bartonella capreoli Bermond et al. 2002

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive1638.20251217.10
title: Bartonella capreoli Bermond et al. 2002

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0069983.10fu
title: SH0069983.10FU

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: 10.6084/m9.figshare.30946473
title: A pseudovirus system for SARS-CoV-2 for screening antiviral agents and phytochemical extracts

description: The development of BSL-2-safe antiviral screening platforms is essential for addressing emerging viral outbreaks such as SARS-CoV-2. This study aimed to construct SARS-CoV-2 spike pseudoviruses (PSV) and assess their infectivity and applicability for antiviral screening across multiple human cell lines. PSVs were generated using a human immunodeficiency virus (HIV)-based vector system. PSV production was confirmed through viral gene expression, green fluorescent protein expression, and transmission electron microscopy. Cell susceptibility against PSV infection was assessed via fluorescent readouts and cell viability assays. Antiviral screening was performed using remdesivir, chloroquine, and previously characterized plant extracts. Viral entry gene expression was evaluated using reverse transcription-polymerase chain reaction (RT-PCR). The developed PSV system produced infectious titers comparable to those reported in previously established systems. Cellular susceptibility to PSV infection was likely associated with variations in the expression levels of viral entry receptor genes. These findings also demonstrate that antiviral response was cell-type dependent and suggest <i>Clinacanthus nutans</i> stem ethyl acetate extract (CNSEA) as a promising candidate for therapeutic investigation. This PSV system is safe, practical, and well-suited for antiviral screening. The findings contribute to emerging evidence that cancer cell susceptibility to SARS-CoV-2 is influenced by distinct viral entry receptor profiles.
DOI: 10.6084/m9.figshare.30946473.v1
title: A pseudovirus system for SARS-CoV-2 for screening antiviral agents and phytochemical extracts

description: The development of BSL-2-safe antiviral screening platforms is essential for addressing emerging viral outbreaks such as SARS-CoV-2. This study aimed to construct SARS-CoV-2 spike pseudoviruses (PSV) and assess their infectivity and applicability for antiviral screening across multiple human cell lines. PSVs were generated using a human immunodeficiency virus (HIV)-based vector system. PSV production was confirmed through viral gene expression, green fluorescent protein expression, and transmission electron microscopy. Cell susceptibility against PSV infection was assessed via fluorescent readouts and cell viability assays. Antiviral screening was performed using remdesivir, chloroquine, and previously characterized plant extracts. Viral entry gene expression was evaluated using reverse transcription-polymerase chain reaction (RT-PCR). The developed PSV system produced infectious titers comparable to those reported in previously established systems. Cellular susceptibility to PSV infection was likely associated with variations in the expression levels of viral entry receptor genes. These findings also demonstrate that antiviral response was cell-type dependent and suggest <i>Clinacanthus nutans</i> stem ethyl acetate extract (CNSEA) as a promising candidate for therapeutic investigation. This PSV system is safe, practical, and well-suited for antiviral screening. The findings contribute to emerging evidence that cancer cell susceptibility to SARS-CoV-2 is influenced by distinct viral entry receptor profiles.
DOI: 10.13145/bacdive1639.20250331.9.3
title: Bartonella chomelii Maillard 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/bacdive1639.20251217.10
title: Bartonella chomelii Maillard et al. 2004

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0069984.10fu
title: SH0069984.10FU

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: 10.6084/m9.figshare.30970561
title: Neurological complications and pathophysiological pathways of the novel coronavirus SARS-CoV-2: a systematic review

description: Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), the virus responsible for Coronavirus Disease 2019 (COVID-19), has been increasingly recognized for its neurological disorders. This systematic review aimed to synthesize current evidence on the spectrum of neurological complications associated with SARS-CoV-2 infection and the pathophysiological mechanisms. A search of scientific literature was performed across databases including Web of Science, PubMed, and Scopus from 2019 to 2025. The quality of included studies was assessed using AMSTAR 2 for systematic reviews, JBI Checklist for case reports, and NOS for cohort and case-control studies. The findings demonstrated that SARS-CoV-2 caused neurological symptoms in the Central Nervous System (CNS) and Peripheral Nervous System (PNS). The involvement of CNS included encephalitis, stroke, encephalopathy, myelitis, neuroinflammation, and demyelinating disorders. The PNS disorders such as Guillain–Barré syndrome (GBS), peripheral neuropathy, anosmia, and ageusia, were also frequently observed. Autonomic dysfunction and musculoskeletal complications like myositis were reported. The pathophysiological mechanisms included direct viral neuroinvasion, disruption of the blood–brain barrier, immune-mediated responses, and systemic inflammation. SARS-CoV-2 revealed neurotropic potential and can impact the nervous system through multifaceted mechanisms. Neurological involvement is both common and clinically significant, often correlating with disease severity and poorer outcomes. COVID-19, the disease caused by the SARS-CoV-2 virus, can affect not just the lungs but also the brain and nerves. Many people with COVID-19 experience problems with their nervous system, which includes the brain (central nervous system) and the nerves throughout the body (peripheral nervous system). These problems range from mild symptoms like headaches, loss of smell or taste, and muscle pain, to more serious conditions such as strokes, seizures, and inflammation of the brain. About one in three people with COVID-19 May have some type of neurological symptom. The virus may reach the brain in several ways. It can directly enter the brain, possibly by crossing the protective barrier known as the blood–brain barrier. It may also cause damage indirectly by triggering widespread inflammation or by causing the immune system to attack the body’s own nerve tissues. The studies of brain scans, spinal fluid, and tissue from autopsies have found signs of the virus in the brain and evidence of inflammation and immune system involvement. Testing spinal fluid for the virus using standard methods like PCR often comes back negative, which means other signs such as increased inflammatory markers might be more useful for diagnosis. Some of the long-term brain-related symptoms people report after recovering from COVID-19, like tiredness, memory issues, and trouble sleeping, may be linked to hormonal changes caused by the virus.
DOI: 10.6084/m9.figshare.30970561.v1
title: Neurological complications and pathophysiological pathways of the novel coronavirus SARS-CoV-2: a systematic review

description: Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), the virus responsible for Coronavirus Disease 2019 (COVID-19), has been increasingly recognized for its neurological disorders. This systematic review aimed to synthesize current evidence on the spectrum of neurological complications associated with SARS-CoV-2 infection and the pathophysiological mechanisms. A search of scientific literature was performed across databases including Web of Science, PubMed, and Scopus from 2019 to 2025. The quality of included studies was assessed using AMSTAR 2 for systematic reviews, JBI Checklist for case reports, and NOS for cohort and case-control studies. The findings demonstrated that SARS-CoV-2 caused neurological symptoms in the Central Nervous System (CNS) and Peripheral Nervous System (PNS). The involvement of CNS included encephalitis, stroke, encephalopathy, myelitis, neuroinflammation, and demyelinating disorders. The PNS disorders such as Guillain–Barré syndrome (GBS), peripheral neuropathy, anosmia, and ageusia, were also frequently observed. Autonomic dysfunction and musculoskeletal complications like myositis were reported. The pathophysiological mechanisms included direct viral neuroinvasion, disruption of the blood–brain barrier, immune-mediated responses, and systemic inflammation. SARS-CoV-2 revealed neurotropic potential and can impact the nervous system through multifaceted mechanisms. Neurological involvement is both common and clinically significant, often correlating with disease severity and poorer outcomes. COVID-19, the disease caused by the SARS-CoV-2 virus, can affect not just the lungs but also the brain and nerves. Many people with COVID-19 experience problems with their nervous system, which includes the brain (central nervous system) and the nerves throughout the body (peripheral nervous system). These problems range from mild symptoms like headaches, loss of smell or taste, and muscle pain, to more serious conditions such as strokes, seizures, and inflammation of the brain. About one in three people with COVID-19 May have some type of neurological symptom. The virus may reach the brain in several ways. It can directly enter the brain, possibly by crossing the protective barrier known as the blood–brain barrier. It may also cause damage indirectly by triggering widespread inflammation or by causing the immune system to attack the body’s own nerve tissues. The studies of brain scans, spinal fluid, and tissue from autopsies have found signs of the virus in the brain and evidence of inflammation and immune system involvement. Testing spinal fluid for the virus using standard methods like PCR often comes back negative, which means other signs such as increased inflammatory markers might be more useful for diagnosis. Some of the long-term brain-related symptoms people report after recovering from COVID-19, like tiredness, memory issues, and trouble sleeping, may be linked to hormonal changes caused by the virus.
DOI: 10.13145/bacdive1640.20241212.9.2
title: Bartonella coopersplainsensis Gundi et al. 2009

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0069985.10fu
title: SH0069985.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.j9pj4k
title: Occurrence Download

description: A dataset containing 45914 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Oenothera glazioviana Micheli)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 45914 records from 597 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011461-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111153893
title: Obv. Col. I: list (persons); col. II: record (royal servicemen grouped by trade or profession); rev.: content uncertain, KTU 4.151

description: [Text or Publication Number Note:] KTU 4.151, KTU2 4.151, KTU3 4.151, CTU 4.151, CAT 4.151 ❧ [Excavation Description:] Found during excavations at Ras Shamra. ❧ [Medium:] Clay ❧ [Script Note:] Alphabetic Cuneiform ❧
DOI: 10.15468/dl.t8we3t
title: Occurrence Download

description: A dataset containing 118 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Orobanche pycnostachya Hance"
 ]
}

 The dataset includes 118 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103936-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111154632
title: Content uncertain, KTU 4.197

description: [Text or Publication Number Note:] KTU 4.197, KTU2 4.197, KTU3 4.197, CTU 4.197, CAT 4.197 ❧ [Excavation Description:] Found during excavations at Ras Shamra. ❧ [Medium:] Clay ❧ [Script Note:] Alphabetic Cuneiform ❧
DOI: 10.15468/dl.p3taju
title: Occurrence Download

description: A dataset containing 20958 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Polytrichum strictum Menzies ex Brid., Pogonatum urnigerum (Hedw.) P.Beauv., Atrichum tenellum (Röhl.) Bruch & Schimp.)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 20958 records from 177 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0155356-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111154767
title: Record of trade?, KTU 4.199

description: [Text or Publication Number Note:] KTU 4.199, KTU2 4.199, KTU3 4.199, CTU 4.199, CAT 4.199 ❧ [Excavation Description:] Found during excavations at Ras Shamra. ❧ [Medium:] Clay ❧ [Script Note:] Alphabetic Cuneiform ❧
DOI: 10.25549/inscriptifact-ouc111154769
title: Content uncertain, KTU 4.197

description: [Text or Publication Number Note:] KTU 4.197, KTU2 4.197, KTU3 4.197, CTU 4.197, CAT 4.197 ❧ [Excavation Description:] Found during excavations at Ras Shamra. ❧ [Medium:] Clay ❧ [Script Note:] Alphabetic Cuneiform ❧