cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.17135180.v1
title: Supplementary Material for: Cytokine Profiles and the Effect of Intravitreal Aflibercept Treatment on Experimental Choroidal Neovascularization

description: <b><i>Purpose:</i></b> The purpose of our study was to investigate the profiles of inflammatory cytokines and the macrophage polarization gene in a choroidal neovascularization (CNV) mouse model before and after intravitreal aflibercept treatment. <b><i>Methods:</i></b> The CNV mouse model was conducted by laser photocoagulation. A total of 58 cytokines were measured by the multiplex mouse cytokine antibody array. The macrophage polarization genes were tested by reverse transcription polymerase chain reaction. The relationship between the cytokines and the CNV lesion area was analyzed by correlation. <b><i>Results:</i></b> MIP-1a on day 3 after laser photocoagulation, MCP-5 and Fas-L on day 7, and IL-15 and IL-7 on day 14 were significantly upregulated (<i>p</i> &lt; 0.001, fold change &gt;10.0). After the intravitreal aflibercept treatment, GM-CSF and MCP-1 on day 3 and TIMP-1 on days 7 and 14 were the most significantly upregulated cytokines (<i>p</i> &lt; 0.001, fold change &gt;10.0). MIP-1 on day 3, IL-13 and Fas-L on day 7, and Fas-L on day 14 were the most significantly downregulated cytokines after intravitreal aflibercept treatment (<i>p</i> &lt; 0.001, fold change &gt;5.0). M2 polarization and VEGFA genes were significantly increased in the CNV formation, whereas aflibercept suppressed M2 polarization and VEGFA genes. IL-7 was negatively related to the CNV lesion area on day 14 after intravitreal aflibercept treatment (<i>r</i> = −0.938, <i>p</i> = 0.006). <b><i>Conclusion:</i></b> The inflammatory cytokines and the M1/M2 macrophage genes significantly changed in the CNV mouse model. This result suggests that inflammatory cytokines and macrophages play a critical role in the physiopathology of CNV.
DOI: 10.6084/m9.figshare.16843003
title: Supplementary Material for: Initial reintroduction of the aye-aye (Daubentonia madagascariensis) in Anjajavy Reserve, Northwestern Madagascar

description: Madagascar’s biodiversity is imperiled by habitat loss and degradation. Furthermore, species may be locally extirpated due to targeted hunting or disease. Translocating at-risk individuals to areas devoid of the species may be an effective conservation intervention. The aye-aye, Daubentonia madagascariensis, is uniquely susceptible to hunting pressure due to a cultural superstition. In June 2018, we reintroduced two aye-ayes in the Anjajavy Reserve, a dry deciduous forest in northwestern Madagascar. The translocated individuals, an adult female and juvenile offspring, were rescued from a neighboring forest that was subjected to pressure from fires and logging. We safely secured and transported the aye-ayes to Anjajavy and put them in a quarantine enclosure, where they were subjected to biomedical and behavioral monitoring. After release in the adjacent, protected forest, we conducted post-release monitoring of the adult female using radio-tracking and scan sampling to determine ranging and activity patterns. We conducted behavioral observations from October 2018 to February 2019 and collected sleeping site data from October 2018 to September 2019. The female aye-aye fed on local resources including Canarium sp. seeds. During the study period, the aye-aye used 31 nests, occupied a home range of approximately 85 ha and travelled, on average, at a pace of 320 meters per hour. Our findings are comparable with published data on wild aye-ayes in other regions of Madagascar, and provide support for future reintroductions of adult aye-ayes, and potentially other endemic species to the natural and protected habitats of Anjajavy.
DOI: 10.6084/m9.figshare.16843003.v1
title: Supplementary Material for: Initial reintroduction of the aye-aye (Daubentonia madagascariensis) in Anjajavy Reserve, Northwestern Madagascar

description: Madagascar’s biodiversity is imperiled by habitat loss and degradation. Furthermore, species may be locally extirpated due to targeted hunting or disease. Translocating at-risk individuals to areas devoid of the species may be an effective conservation intervention. The aye-aye, Daubentonia madagascariensis, is uniquely susceptible to hunting pressure due to a cultural superstition. In June 2018, we reintroduced two aye-ayes in the Anjajavy Reserve, a dry deciduous forest in northwestern Madagascar. The translocated individuals, an adult female and juvenile offspring, were rescued from a neighboring forest that was subjected to pressure from fires and logging. We safely secured and transported the aye-ayes to Anjajavy and put them in a quarantine enclosure, where they were subjected to biomedical and behavioral monitoring. After release in the adjacent, protected forest, we conducted post-release monitoring of the adult female using radio-tracking and scan sampling to determine ranging and activity patterns. We conducted behavioral observations from October 2018 to February 2019 and collected sleeping site data from October 2018 to September 2019. The female aye-aye fed on local resources including Canarium sp. seeds. During the study period, the aye-aye used 31 nests, occupied a home range of approximately 85 ha and travelled, on average, at a pace of 320 meters per hour. Our findings are comparable with published data on wild aye-ayes in other regions of Madagascar, and provide support for future reintroductions of adult aye-ayes, and potentially other endemic species to the natural and protected habitats of Anjajavy.
DOI: 10.6084/m9.figshare.17135213
title: Supplementary Material for: Effectiveness of a Videoconferencing-Delivered Psychological Intervention for Mental Health Problems during COVID-19: A Proof-of-Concept Randomized Clinical Trial

description: <b><i>Introduction:</i></b> Anxiety and depression have increased markedly during the COVID-19 pandemic. There is a lack of evidence-based strategies to address these mental health needs during the pandemic. <b><i>Objective:</i></b> We aim to conduct a proof-of-concept trial of the efficacy of a brief group-based psychological intervention delivered via videoconferencing for adults in Australia distressed by the pandemic. <b><i>Methods:</i></b> In this single-blind, parallel, randomised controlled trial, adults who screened positive for COVID-related psychological distress across Australia were randomly allocated to either a 6-session group-based program based on behavioural principles (<i>n</i> = 120) or enhanced usual care (EUC, <i>n</i> = 120). Primary outcome was total score on the Hospital Anxiety and Depression (HADS) anxiety and depression subscales assessed at baseline, 1 week posttreatment, 2 months (primary outcome time point), and 6 months after treatment, as well as secondary outcome measures of worry, sleep impairment, anhedonia, mood, and COVID-19-related stress. <b><i>Results:</i></b> Between May 20, 2020, and October 20, 2020, 240 patients were enrolled into the trial. Relative to EUC, at 2 months participants receiving intervention showed greater reduction on anxiety (mean difference, 1.4 [95% CI, 0.3 to 2.6], <i>p</i> = 0.01; effect size, 0.4 [95% CI, 0.1 to 0.7]) and depression (mean difference, 1.6 [95% CI, 0.4 to 2.8], p = 0.009; effect size, 0.4 [95% CI, 0.2 to 0.7]) scales. These effects were maintained at 6 months. There were also greater reductions of worry, anhedonia, COVID-19-related fears, and contamination fears. <b><i>Conclusions:</i></b> This trial provides initial evidence that brief group-based behavioural intervention delivered via videoconferencing results in moderate reductions in common psychological problems arising during the COVID-19 pandemic. This program may offer a viable and scalable means to mitigate the rising mental health problems during the pandemic.
DOI: 10.6084/m9.figshare.17135213.v1
title: Supplementary Material for: Effectiveness of a Videoconferencing-Delivered Psychological Intervention for Mental Health Problems during COVID-19: A Proof-of-Concept Randomized Clinical Trial

description: <b><i>Introduction:</i></b> Anxiety and depression have increased markedly during the COVID-19 pandemic. There is a lack of evidence-based strategies to address these mental health needs during the pandemic. <b><i>Objective:</i></b> We aim to conduct a proof-of-concept trial of the efficacy of a brief group-based psychological intervention delivered via videoconferencing for adults in Australia distressed by the pandemic. <b><i>Methods:</i></b> In this single-blind, parallel, randomised controlled trial, adults who screened positive for COVID-related psychological distress across Australia were randomly allocated to either a 6-session group-based program based on behavioural principles (<i>n</i> = 120) or enhanced usual care (EUC, <i>n</i> = 120). Primary outcome was total score on the Hospital Anxiety and Depression (HADS) anxiety and depression subscales assessed at baseline, 1 week posttreatment, 2 months (primary outcome time point), and 6 months after treatment, as well as secondary outcome measures of worry, sleep impairment, anhedonia, mood, and COVID-19-related stress. <b><i>Results:</i></b> Between May 20, 2020, and October 20, 2020, 240 patients were enrolled into the trial. Relative to EUC, at 2 months participants receiving intervention showed greater reduction on anxiety (mean difference, 1.4 [95% CI, 0.3 to 2.6], <i>p</i> = 0.01; effect size, 0.4 [95% CI, 0.1 to 0.7]) and depression (mean difference, 1.6 [95% CI, 0.4 to 2.8], p = 0.009; effect size, 0.4 [95% CI, 0.2 to 0.7]) scales. These effects were maintained at 6 months. There were also greater reductions of worry, anhedonia, COVID-19-related fears, and contamination fears. <b><i>Conclusions:</i></b> This trial provides initial evidence that brief group-based behavioural intervention delivered via videoconferencing results in moderate reductions in common psychological problems arising during the COVID-19 pandemic. This program may offer a viable and scalable means to mitigate the rising mental health problems during the pandemic.
DOI: 10.48370/ofd/59bkgm/wcq3lk
title: Betula pubescens var. pumila_pąki - ekstrakt substancji lotnych.pdf

description: :unav
DOI: 10.48370/ofd/59bkgm
title: Betula pubescens var. pumila_pąki - ekstrakt substancji lotnych

description: ekstrakt substancji lotnych
DOI: 10.5281/zenodo.5764031
title: PDAC_Badea

description: PDAC dataset curated by BHK Lab.
DOI: 10.5281/zenodo.5764034
title: PDAC_Balaguranath

description: PDAC dataset curated by BHK Lab.
DOI: 10.5281/zenodo.5764036
title: PDAC_Chen

description: PDAC dataset curated by BHK Lab.
DOI: 10.5281/zenodo.5764035
title: PDAC_Chen

description: PDAC dataset curated by BHK Lab.
DOI: 10.5281/zenodo.5764038
title: PDAC_Haider

description: PDAC dataset curated by BHK Lab.
DOI: 10.5281/zenodo.5764037
title: PDAC_Haider

description: PDAC dataset curated by BHK Lab.
DOI: 10.5281/zenodo.5764042
title: PDAC_Hamidi

description: PDAC dataset curated by BHK Lab.
DOI: 10.5281/zenodo.5764041
title: PDAC_Hamidi

description: PDAC dataset curated by BHK Lab.
DOI: 10.5281/zenodo.5764044
title: PDAC_Janky

description: PDAC dataset curated by BHK Lab.
DOI: 10.5281/zenodo.5764043
title: PDAC_Janky

description: PDAC dataset curated by BHK Lab.
DOI: 10.5281/zenodo.5764046
title: PDAC_Lunardi

description: PDAC dataset curated by BHK Lab.
DOI: 10.5281/zenodo.5764047
title: PDAC_Pei

description: PDAC dataset curated by BHK Lab.
DOI: 10.5281/zenodo.5764050
title: PDAC_UNC

description: PDAC dataset curated by BHK Lab.
DOI: 10.5281/zenodo.5764049
title: PDAC_UNC

description: PDAC dataset curated by BHK Lab.
DOI: 10.5281/zenodo.5764052
title: PDAC_Yang

description: PDAC dataset curated by BHK Lab.
DOI: 10.5281/zenodo.5764051
title: PDAC_Yang

description: PDAC dataset curated by BHK Lab.
DOI: 10.15156/bio/sh318510.07fu
title: SH318510.07FU

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/sh318511.07fu
title: SH318511.07FU

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/sh318512.07fu
title: SH318512.07FU

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/sh1682099.08fu
title: SH1682099.08FU

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/sh1682100.08fu
title: SH1682100.08FU

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/sh1682101.08fu
title: SH1682101.08FU

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/sh318513.07fu
title: SH318513.07FU

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/sh318514.07fu
title: SH318514.07FU

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/sh1682102.08fu
title: SH1682102.08FU

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/sh1682103.08fu
title: SH1682103.08FU

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.