cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1061566.10fu
title: SH1061566.10FU

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/sh1061567.10fu
title: SH1061567.10FU

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/sh1061570.10fu
title: SH1061570.10FU

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/sh1061571.10fu
title: SH1061571.10FU

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/sh1061572.10fu
title: SH1061572.10FU

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/sh1061574.10fu
title: SH1061574.10FU

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.28508882
title: AFM data roughness; AFM data Modulus; Microindentation data; Uniaxial tension test data

description: Data acquired in the study of a considerable number of SMILE-derived lenticules from patients of different ages and with different severity of myopia, using atomic force microscopy, microindentation and tensile testing.
DOI: 10.13135/ela-312
title: Treaty with Mytilene
DOI: 10.15468/dl.7yk6ga
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lithocarpus leiostachyus A.Camus"
 ]
}

 The dataset includes 18 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000475-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28359561
title: Table S3 from Proximal Partners of the Organellar N-terminal Acetyltransferase NAA60: Insights into Golgi Structure and Transmembrane Protein Topology

description: Differential 1D annotation Enrichment for the comparative NAA60, SLC35A1, and SLC35C2 BioID setups
DOI: 10.6084/m9.figshare.28359561.v4
title: Table S4 from Proximal Partners of the Organellar N-terminal Acetyltransferase NAA60: Insights into Golgi Structure and Transmembrane Protein Topology

description: Differential 1D annotation Enrichment for the comparative NAA60, SLC35A1, and SLC35C2 BioID setups
DOI: 10.6084/m9.figshare.28359561.v5
title: Table S3 from Proximal Partners of the Organellar N-terminal Acetyltransferase NAA60: Insights into Golgi Structure and Transmembrane Protein Topology

description: Differential 1D annotation Enrichment for the comparative NAA60, SLC35A1, and SLC35C2 BioID setups
DOI: 10.6084/m9.figshare.28359558
title: Table S5 from Proximal Partners of the Organellar N-terminal Acetyltransferase NAA60: Insights into Golgi Structure and Transmembrane Protein Topology

description: Table_S5.xlsx
DOI: 10.6084/m9.figshare.28359558.v5
title: Table S5 from Proximal Partners of the Organellar N-terminal Acetyltransferase NAA60: Insights into Golgi Structure and Transmembrane Protein Topology

description: Table_S5.xlsx
DOI: 10.6084/m9.figshare.28359558.v4
title: Supplementary Material from Proximal Partners of the Organellar N-terminal Acetyltransferase NAA60: Insights into Golgi Structure and Transmembrane Protein Topology

description: Table_S5.xlsx
DOI: 10.6084/m9.figshare.28359555
title: Table S1 from Proximal Partners of the Organellar N-terminal Acetyltransferase NAA60: Insights into Golgi Structure and Transmembrane Protein Topology

description: BioID Interaction Profiling: Comparing the Proxeomes of Golgi-Localized NAA60, SLC35A1, and SLC35C2
DOI: 10.6084/m9.figshare.28359555.v4
title: Table S2 from Proximal Partners of the Organellar N-terminal Acetyltransferase NAA60: Insights into Golgi Structure and Transmembrane Protein Topology

description: BioID Interaction Profiling: Comparing the Proxeomes of Golgi-Localized NAA60, SLC35A1, and SLC35C2
DOI: 10.60507/fk2/gihyzy
title: Virtual tour of the crypt of San Marco in Venice

description: The video shows a virtual tour of the crypt of San Marco in Venice. The basic 3D model was generated using image-based 3D techniques and terrestrial laser scanning. The rendering was done in Unreal Engine 4.
description: Unreal Engine, 4
description: Da Vinci Resolve, 18.6
DOI: 10.60507/fk2/gihyzy/0ar9fm
title: SanMarco_VirtualTour.mp4
DOI: 10.60507/fk2/gihyzy/398av3
title: LANG_SanMarco_readme.txt
DOI: 10.15468/dl.eb6wfh
title: Occurrence Download

description: A dataset containing 2170 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Bactrocera dorsalis (Hendel, 1912)"
 ]
}

 The dataset includes 2170 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000474-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28510313.v1
title: Global low vegetation aboveground biomass change dataset in 2000-2020

description: This dataset describes the annual variation of low-vegetation aboveground biomass worldwide from 2000 to 2020. We used the Forest Cover and Forest Loss datasets to define vegetation areas with canopy cover of &lt;30% and exclude land surface water disturbances as low vegetation areas. We collected more than 4000 measured sampling points around the world, and used Landsat series satellite datasets to construct the model, with a coefficient of determination of 0.58 and a root mean square error of 163.41 g/m². The annual change in biomass is calculated based on the difference between the estimated aboveground biomass of low vegetation. The Spatial resolution of this dataset is 1000m.
DOI: 10.15468/dl.bkjf8p
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lithocarpus lemeeanus A.Camus"
 ]
}

 The dataset includes 27 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000475-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8xx7ur
title: Occurrence Download

description: A dataset containing 238491 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Delphinium L."
 ]
}

 The dataset includes 238491 records from 1393 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000469-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.25721167
title: Anemia and testosterone deficiency risk: insights from NHANES data analysis and a Mendelian randomization analysis

description: Previous research has shown that testosterone deficiency (TD) increases the risk of anemia, but it is unclear whether anemia affects testosterone levels. This study investigated the influence of anemia on testosterone levels. Utilizing data from six NHANES cycles, including demographic, testosterone levels, and hemoglobin concentrations, we employed multivariable-adjusted logistic regression to investigate the relationship between anemia and testosterone levels. Moreover, a two-sample Mendelian randomization (MR) study employing genome-wide association study (GWAS) data examined the causal relationship. Kaplan–Meier survival estimation was used to compared the overall survival (OS) of anemic and nonanemic patients with low testosterone and normal testosterone levels. The inclusion of 21,786 participants (2318 with anemia and19,468 without anemia) revealed that nonanemic patients exhibited higher testosterone levels than did anemic patients (<i>β</i> = 22.616, 95% CI: 3.873–41.359, <i>p</i> = 0.01807). MR analysis confirmed anemia as a cause of TD (OR = 1.045, 95% CI: 1.020–1.071, <i>p</i> &lt; 0.001). Anemic males with low testosterone had reduced OS compared to those with normal levels (<i>p</i> &lt; 0.001). Anemia emerged as a potential risk factor for TD, highlighting a bidirectional relationship between these conditions. Additional prospective investigations are essential for the validation and reinforcement of our findings.
DOI: 10.6084/m9.figshare.25721167.v1
title: Anemia and testosterone deficiency risk: insights from NHANES data analysis and a Mendelian randomization analysis

description: Previous research has shown that testosterone deficiency (TD) increases the risk of anemia, but it is unclear whether anemia affects testosterone levels. This study investigated the influence of anemia on testosterone levels. Utilizing data from six NHANES cycles, including demographic, testosterone levels, and hemoglobin concentrations, we employed multivariable-adjusted logistic regression to investigate the relationship between anemia and testosterone levels. Moreover, a two-sample Mendelian randomization (MR) study employing genome-wide association study (GWAS) data examined the causal relationship. Kaplan–Meier survival estimation was used to compared the overall survival (OS) of anemic and nonanemic patients with low testosterone and normal testosterone levels. The inclusion of 21,786 participants (2318 with anemia and19,468 without anemia) revealed that nonanemic patients exhibited higher testosterone levels than did anemic patients (<i>β</i> = 22.616, 95% CI: 3.873–41.359, <i>p</i> = 0.01807). MR analysis confirmed anemia as a cause of TD (OR = 1.045, 95% CI: 1.020–1.071, <i>p</i> &lt; 0.001). Anemic males with low testosterone had reduced OS compared to those with normal levels (<i>p</i> &lt; 0.001). Anemia emerged as a potential risk factor for TD, highlighting a bidirectional relationship between these conditions. Additional prospective investigations are essential for the validation and reinforcement of our findings.
DOI: 10.6084/m9.figshare.25757700
title: Evolving horizons in renal angiomyolipoma: two decades of management strategies and clinical perspectives in a single institutional study

description: To assess various management options for renal angiomyolipoma (AML) to guide clinical practice. A single center retrospectively reviewed an AML series from 2002 to 2022. The image reports and chart reviews of patients who received two abdominal scans at least 6 months between the first and last scans were assessed. A total of 203 patients with 209 tumors were identified and followed up for a median of 42.6 months. Active surveillance (AS) was the most frequently selected option (70.9% of cases). Interventions were required for 59 AMLs, of which 20 were treated with embolization, 29 with partial nephrectomy, 9 with radical nephrectomy, and 1 with radiofrequency (RF) ablation. The median size of the lesions at intervention was 5 cm. The average growth rate of the lesions was 0.12 cm/year, and there was a significant difference in the average growth rate of lesions ≤4 cm and those &gt;4 cm (0.11 <i>vs.</i> 0.24 cm/year; <i>p</i> = 0.0046). This series on AMLs confirms that lesions &gt;4 cm do not require early intervention based on size alone. Appropriately selected cases of renal AML can be managed by AS. KEYWORDS: Angiomyolipoma; active surveillance; embolization; nephrectomy; nephron-sparing surgery
DOI: 10.6084/m9.figshare.25757700.v1
title: Evolving horizons in renal angiomyolipoma: two decades of management strategies and clinical perspectives in a single institutional study

description: To assess various management options for renal angiomyolipoma (AML) to guide clinical practice. A single center retrospectively reviewed an AML series from 2002 to 2022. The image reports and chart reviews of patients who received two abdominal scans at least 6 months between the first and last scans were assessed. A total of 203 patients with 209 tumors were identified and followed up for a median of 42.6 months. Active surveillance (AS) was the most frequently selected option (70.9% of cases). Interventions were required for 59 AMLs, of which 20 were treated with embolization, 29 with partial nephrectomy, 9 with radical nephrectomy, and 1 with radiofrequency (RF) ablation. The median size of the lesions at intervention was 5 cm. The average growth rate of the lesions was 0.12 cm/year, and there was a significant difference in the average growth rate of lesions ≤4 cm and those &gt;4 cm (0.11 <i>vs.</i> 0.24 cm/year; <i>p</i> = 0.0046). This series on AMLs confirms that lesions &gt;4 cm do not require early intervention based on size alone. Appropriately selected cases of renal AML can be managed by AS. KEYWORDS: Angiomyolipoma; active surveillance; embolization; nephrectomy; nephron-sparing surgery
DOI: 10.6084/m9.figshare.26661394
title: Prostate-specific antigen, androgen, progesterone and oestrogen receptors in Benign prostatic hyperplasia: human tissues and animal model study

description: Direct evidence for the relationship between a large prostate (≥80 ml) and androgen receptor/PSA signal remains lacking in benign prostatic hyperplasia (BPH). Our aim is to identify whether the cause of a large prostate is related to progesterone receptor (PGR) androgen receptor (AR), oestrogen receptor α, β (ERα,β) and prostate-specific antigen (PSA). Surgical specimens of BPH in plasmakinetic resection of the prostate (PKRP) with three groups of different prostate-sizes with mean volumes of 25.97 ml, 63.80 ml, and 122.37 ml were collected for immunohistochemical analysis of the tissue microarray with PGR, AR, PSA and ERs. Rats were castrated and treated with testosterone replacement to explore androgen and PGR, AR and ERs expression levels in the prostate. Quantitative real-time reverse transcription polymerase chain reaction (Rt-PCR) for mRNA detection of above genes was conducted. Immunoblotting, Rt-PCR and immunohistochemistry assays showed that PGR, PSA, AR, ERα expression levels were positively correlated with prostate size and that ERβ expression levels were negatively correlated with prostate volume. Animal experiments have shown that prostate volume is decreased in castrated rats with decreased PGR, AR, ERα and increased ERβ expression levels. PGR, AR, ERs signals can be regarded as important factors for large-sized prostates in BPH patients (≥100 ml).
DOI: 10.6084/m9.figshare.26661394.v1
title: Prostate-specific antigen, androgen, progesterone and oestrogen receptors in Benign prostatic hyperplasia: human tissues and animal model study

description: Direct evidence for the relationship between a large prostate (≥80 ml) and androgen receptor/PSA signal remains lacking in benign prostatic hyperplasia (BPH). Our aim is to identify whether the cause of a large prostate is related to progesterone receptor (PGR) androgen receptor (AR), oestrogen receptor α, β (ERα,β) and prostate-specific antigen (PSA). Surgical specimens of BPH in plasmakinetic resection of the prostate (PKRP) with three groups of different prostate-sizes with mean volumes of 25.97 ml, 63.80 ml, and 122.37 ml were collected for immunohistochemical analysis of the tissue microarray with PGR, AR, PSA and ERs. Rats were castrated and treated with testosterone replacement to explore androgen and PGR, AR and ERs expression levels in the prostate. Quantitative real-time reverse transcription polymerase chain reaction (Rt-PCR) for mRNA detection of above genes was conducted. Immunoblotting, Rt-PCR and immunohistochemistry assays showed that PGR, PSA, AR, ERα expression levels were positively correlated with prostate size and that ERβ expression levels were negatively correlated with prostate volume. Animal experiments have shown that prostate volume is decreased in castrated rats with decreased PGR, AR, ERα and increased ERβ expression levels. PGR, AR, ERs signals can be regarded as important factors for large-sized prostates in BPH patients (≥100 ml).
DOI: 10.48597/26d3-fftb
title: Measurement of HCH (hexachlorocyclohexanes) and heavy metals at Ulborg

description: Measurement of HCH (hexachlorocyclohexanes) and heavy metals at Ulborg
DOI: 10.48597/2hz6-naqw
title: Measurement of Heavy metals at Ulborg

description: Measurement of Heavy metals at Ulborg
DOI: 10.48597/3atu-zpfc
title: Measurement of Heavy metals at Ulborg

description: Measurement of Heavy metals at Ulborg
DOI: 10.48597/3yr9-r529
title: Measurement of Heavy metals and inorganics in precipitation at Ulborg

description: Measurement of Heavy metals and inorganics in precipitation at Ulborg
DOI: 10.48597/5j8y-gvj6
title: Measurement of Heavy metals and inorganics in precipitation at Ulborg

description: Measurement of Heavy metals and inorganics in precipitation at Ulborg
DOI: 10.48597/5spj-qnfg
title: Measurement of Heavy metals at Ulborg

description: Measurement of Heavy metals at Ulborg
DOI: 10.48597/6k44-4d5a
title: Measurement of HCH (hexachlorocyclohexanes), heavy metals and inorganics in precipitation at Ulborg

description: Measurement of HCH (hexachlorocyclohexanes), heavy metals and inorganics in precipitation at Ulborg
DOI: 10.48597/7vaz-taxb
title: Measurement of Heavy metals at Ulborg

description: Measurement of Heavy metals at Ulborg
DOI: 10.15468/dl.ffywwm
title: Occurrence Download

description: A dataset containing 83095 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Pycnonotus luteolus (Lesson, 1841)",
 "Year 2010-2020"
 ]
}

 The dataset includes 83095 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011664-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/cpbz-38eg
title: HCH (hexachlorocyclohexanes), heavy metals and inorganics in precipitation at Ulborg

description: Measurement of HCH (hexachlorocyclohexanes), heavy metals and inorganics in precipitation at Ulborg
DOI: 10.48597/3xmz-29fc
title: Measurement of HCH (hexachlorocyclohexanes), heavy metals and inorganics in precipitation at Ulborg

description: Measurement of HCH (hexachlorocyclohexanes), heavy metals and inorganics in precipitation at Ulborg