cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1653816.08fu
title: SH1653816.08FU

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/sh1653817.08fu
title: SH1653817.08FU

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/sh1653818.08fu
title: SH1653818.08FU

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/sh1653819.08fu
title: SH1653819.08FU

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/sh1653820.08fu
title: SH1653820.08FU

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/sh1653821.08fu
title: SH1653821.08FU

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/sh1653822.08fu
title: SH1653822.08FU

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/sh1653823.08fu
title: SH1653823.08FU

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/sh1653824.08fu
title: SH1653824.08FU

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/sh1653825.08fu
title: SH1653825.08FU

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: 10.6084/m9.figshare.23730881
title: Additional file 9 of Predicting disease severity in metachromatic leukodystrophy using protein activity and a patient phenotype matrix

description: Additional file 9: Table S8. Predicted individual genotype incidence rates in all populations. The expected incidence of an individual genotype was calculated as the product of the allele frequency of the two mutations comprising the genotype for each subpopulation reported in gnomAD. ARSA, arylsulfatase A, CDS, coding sequence
DOI: 10.6084/m9.figshare.23730881.v1
title: Additional file 9 of Predicting disease severity in metachromatic leukodystrophy using protein activity and a patient phenotype matrix

description: Additional file 9: Table S8. Predicted individual genotype incidence rates in all populations. The expected incidence of an individual genotype was calculated as the product of the allele frequency of the two mutations comprising the genotype for each subpopulation reported in gnomAD. ARSA, arylsulfatase A, CDS, coding sequence
DOI: 10.6084/m9.figshare.23730884.v1
title: Additional file 10 of Predicting disease severity in metachromatic leukodystrophy using protein activity and a patient phenotype matrix

description: Additional file 10: Table S9. Analytical analysis of disease burden. Burdens for each MLD subtype were predicted using allele frequencies from gnomAD and our phenotype matrix. Calculations were performed using patient-based severity, as defined by our variant-severity criteria, and repeated using activity-based severity determined by MS/MS. 95% percent confidence intervals were calculated using the analytical method, except for the “Unknown” and “Asymptomatic” incidence rates, which rely on 95% confidence intervals calculated through numeric simulation. gnomAD, Genome Aggregation Database; MS/MS, tandem mass spectrometry.
DOI: 10.6084/m9.figshare.23730884
title: Additional file 10 of Predicting disease severity in metachromatic leukodystrophy using protein activity and a patient phenotype matrix

description: Additional file 10: Table S9. Analytical analysis of disease burden. Burdens for each MLD subtype were predicted using allele frequencies from gnomAD and our phenotype matrix. Calculations were performed using patient-based severity, as defined by our variant-severity criteria, and repeated using activity-based severity determined by MS/MS. 95% percent confidence intervals were calculated using the analytical method, except for the “Unknown” and “Asymptomatic” incidence rates, which rely on 95% confidence intervals calculated through numeric simulation. gnomAD, Genome Aggregation Database; MS/MS, tandem mass spectrometry.
DOI: 10.6084/m9.figshare.23730890
title: Additional file 11 of Predicting disease severity in metachromatic leukodystrophy using protein activity and a patient phenotype matrix

description: Additional file 11: Table S10. Number of mutations with non-zero allele frequencies in each subpopulation in gnomAD. Number of patients screened before encountering a novel mutation are also shown by subpopulation. gnomAD, Genome Aggregation Database.
DOI: 10.6084/m9.figshare.23730890.v1
title: Additional file 11 of Predicting disease severity in metachromatic leukodystrophy using protein activity and a patient phenotype matrix

description: Additional file 11: Table S10. Number of mutations with non-zero allele frequencies in each subpopulation in gnomAD. Number of patients screened before encountering a novel mutation are also shown by subpopulation. gnomAD, Genome Aggregation Database.
DOI: 10.6084/m9.figshare.23730943
title: Additional file 1 of Effects of miglustat therapy on neurological disorder and survival in early-infantile Niemann-Pick disease type C: a national French retrospective study

description: Additional file 1. Table S1: Clinical characteristics of patients with EI-NP-C.
DOI: 10.6084/m9.figshare.23730943.v1
title: Additional file 1 of Effects of miglustat therapy on neurological disorder and survival in early-infantile Niemann-Pick disease type C: a national French retrospective study

description: Additional file 1. Table S1: Clinical characteristics of patients with EI-NP-C.
DOI: 10.6084/m9.figshare.23731010
title: Additional file 2 of On-site communication measures as a tool in outdoor recreation management: a systematic map

description: Additional file 2. Supplement A: Screening process. Supplement B: Eligibility criteria. Supplement C: Full text exclusion. Supplement D: Extracted data records.
DOI: 10.6084/m9.figshare.23731010.v1
title: Additional file 2 of On-site communication measures as a tool in outdoor recreation management: a systematic map

description: Additional file 2. Supplement A: Screening process. Supplement B: Eligibility criteria. Supplement C: Full text exclusion. Supplement D: Extracted data records.
DOI: 10.5281/zenodo.8152964
title: Datasets associated with Uruti Basin gas hydrate heat flow feature investigated as part of Roger Revelle voyage RR1508

description: Processed seismic reflection data and associated files from Roger Revelle voyage RR1508: 16 May - 18 June 2015. The research voyage aimed to characterise the thermal regime of the gas hydrate systems on the southern Hikurangi margin east of New Zealand. Data were processed using the Globe Claritas processing software. All SEG-Y files have the following binary header word definitions, required for loading data: Start time: 2-byte integer: Bytes 105-106 Trace Sample Count: 2-byte integer: Bytes 115-116 Sample Interval (microseconds): 2-byte integer: Byte 117-118 CDP Number: 4-byte integer: Bytes 5-8 CDP X location: 4-byte integer: Bytes 197-200 (Note: Coordinates are in metres of UTM Zone 60S, WGS84 Datum) CDP Y location: 4-byte integer: Bytes 201-204 (Note: Coordinates are in metres of UTM Zone 60S, WGS84 Datum)
DOI: 10.5281/zenodo.8152963
title: Datasets associated with Uruti Basin gas hydrate heat flow feature investigated as part of Roger Revelle voyage RR1508

description: Processed seismic reflection data and associated files from Roger Revelle voyage RR1508: 16 May - 18 June 2015. The research voyage aimed to characterise the thermal regime of the gas hydrate systems on the southern Hikurangi margin east of New Zealand. Data were processed using the Globe Claritas processing software. All SEG-Y files have the following binary header word definitions, required for loading data: Start time: 2-byte integer: Bytes 105-106 Trace Sample Count: 2-byte integer: Bytes 115-116 Sample Interval (microseconds): 2-byte integer: Byte 117-118 CDP Number: 4-byte integer: Bytes 5-8 CDP X location: 4-byte integer: Bytes 197-200 (Note: Coordinates are in metres of UTM Zone 60S, WGS84 Datum) CDP Y location: 4-byte integer: Bytes 201-204 (Note: Coordinates are in metres of UTM Zone 60S, WGS84 Datum)
DOI: 10.5281/zenodo.8149807
title: Geolocating and Measuring Offshore Infrastructure with Multimodal Satellite Data

description: <em>Please cite this when using the dataset and code.</em> The offshore infrastructure is rapidly spreading in the Scottish waters to satisfy the increasing energy demand. The up-to-date knowledge of their distribution and size is critical for the development and management of marine ecosystems. With the development of remote sensing techniques, satellite data have been widely used in offshore infrastructure detection on the vast ocean. However, the automatic and accurate identification on remote sensing data is still challenging that every kind of data have limitations. Here we combine the Sentinel-1 SAR data and Sentinel-2 Multi-Spectral Instrument (MSI) imagery to propose an automatic method for the location detection and size evaluation of offshore infrastructure in Scottish waters. Specifically, three strategies (transformed median composite, 2D-SSA filtering and threshold segmentation) were designed to first extract the contour range on Sentinel-1 data. Then morphological operations were applied on Sentinel-2 true color image to obtain the precise location and size of each offshore infrastructure. All the Sentinel-1 and Sentinel-2 data are downloaded from https://www.sentinel-hub.com/explore/eobrowser/ The file "loc_S1" is used for the contour range detection in Sentinel-1; The file "loc_S2" is for the specific location detection and size evaluation of each rig and semi-permanent; The file "diameter_wind_turbine" is for the diameter length estimate for wind turbines.
DOI: 10.6084/m9.figshare.23731089
title: Gender discrimination, Power structure, Marital quality

description: The statistical data for the moderating role of power structure in the link between Gender discrimination and Marital quality.
DOI: 10.6084/m9.figshare.23731089.v1
title: Gender discrimination, Power structure, Marital quality

description: The statistical data for the moderating role of power structure in the link between Gender discrimination and Marital quality.
DOI: 10.3886/e192874
title: Stock Market Liberalization, Agency Shock, and Dividend Policy

description: This study examines changes in firms’ dividend payouts following an agency shock to managers and investors in the Chinese context. The conceptual differences proposed by Kalay (2014) suggest that an agency (information) shock predicts a decrease (increase) in dividend payments. We test this prediction by analyzing the dividend payment behaviors of eligible firms under the Shanghai-Hong Kong Connect (SHK Connect) around the Chinese capital market liberalization. The event serves as a proxy for a general improvement of the agency cost environment in the economy. Using a Difference-in-differences model under Propensity score matching methodology (PSM-DID), we find that both the dividend levels and the number of dividend-payers decline after the event, and firms are less (more) likely to increase (decrease) dividends. Such changes occur around the agency shock. The downward patterns occur in firms with no pre-event foreign shareholdings and are more pronounced in stocks with the most active foreign trading. We further show that the declining trend only appears in firms that are more subject to agency problems. Our results confirm the essential monitoring role of foreign investors in shaping firms’ dividend policies.
DOI: 10.3886/e192874v1
title: Stock Market Liberalization, Agency Shock, and Dividend Policy

description: This study examines changes in firms’ dividend payouts following an agency shock to managers and investors in the Chinese context. The conceptual differences proposed by Kalay (2014) suggest that an agency (information) shock predicts a decrease (increase) in dividend payments. We test this prediction by analyzing the dividend payment behaviors of eligible firms under the Shanghai-Hong Kong Connect (SHK Connect) around the Chinese capital market liberalization. The event serves as a proxy for a general improvement of the agency cost environment in the economy. Using a Difference-in-differences model under Propensity score matching methodology (PSM-DID), we find that both the dividend levels and the number of dividend-payers decline after the event, and firms are less (more) likely to increase (decrease) dividends. Such changes occur around the agency shock. The downward patterns occur in firms with no pre-event foreign shareholdings and are more pronounced in stocks with the most active foreign trading. We further show that the declining trend only appears in firms that are more subject to agency problems. Our results confirm the essential monitoring role of foreign investors in shaping firms’ dividend policies.