cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25814/kpmm-wr37
title: ABARES Fishery Status Reports map data: Southern and Eastern Scalefish and Shark Fishery (SESSF), Commonwealth Trawl Sector, Trawl Sub-Sector (SCTR): fishing intensity and maximum area fished, annual map data for 2010 to 2022

description: This dataset presents maps of fishing intensity and maximum area fished of ocean waters within the Southern and Eastern Scalefish and Shark Fishery (SESSF), Commonwealth Trawl Sector (CTS), trawl sub-sector (SCTR). 

The data were prepared as part of the annual ABARES Fishery Status Reports series, which provides an independent evaluation of the biological and economic status of fish stocks managed solely or jointly by the Australian Government. The data were produced by ABARES from data supplied by the Australian Fisheries Management Authority (AFMA).

The data are presented annually, by fishing season which runs from 1 May to 30 April for this fishery. For example, for this fishery, the 2022 season runs from 1 May 2022 to 30 April 2023. 

The data are polygon vector format, stored in an ESRI file geodatabase, prepared using ArcGIS Desktop ArcMap version 10.8. 

Fishing intensity is defined as the total fishing effort within a given fishing season, divided by the total area fished in square kilometres. The unit of effort in the CTS trawl sub-sector is measured as the number of hours of trawling. The data attributes include the class, the range of values in the class and the unit of measure. The classification used may vary from year to year, depending on a range of environmental and economic factors. 

Maximum area fished is defined as the maximum area within which fishing occurred during a given fishing season as polygon cells of one degree of longitude by one degree of latitude (approximately 111 kilometres x 111 kilometres). A cell is included if any fishing activity occurred anywhere within that one degree by one degree cell. Note that cells included in this dataset may also partially cover land.

The data supplied by AFMA were filtered to remove activity by fewer than five boats within the area of analysis in order to conform with AFMA’s Information Disclosure Policy (https://www.afma.gov.au/about/fisheries-management-policies/information-disclosure-fisheries-management-paper).
DOI: 10.18112/openneuro.ds005040.v1.1.1
title: Political Moralization (PMM)
DOI: 10.5281/zenodo.10851006
title: Don Tritonel de España - AmadissigloXX

description: AmadissigloXX. Base de datos de las reescrituras modernas de los libros de caballerías y del Don Quijote (dir. Elisabetta Sarmati)

Ficha de: Ángel María Pascual, "Don Tritonel de España", 1944.

Se ofrecen dos ficheros:



formato JSON: contiene los metadatos asociados a la obra (autor, fuente, año de publicación, idioma, sinopsis del argumento, anotaciones, fuentes caballerescas, bibliografía crítica, enlaces externos)

formato XML: contiene la base de datos completa con indicación de la versión.
DOI: 10.5281/zenodo.10851007
title: Don Tritonel de España - AmadissigloXX

description: AmadissigloXX. Base de datos de las reescrituras modernas de los libros de caballerías y del Don Quijote (dir. Elisabetta Sarmati)

Ficha de: Ángel María Pascual, "Don Tritonel de España", 1944.

Se ofrecen dos ficheros:



formato JSON: contiene los metadatos asociados a la obra (autor, fuente, año de publicación, idioma, sinopsis del argumento, anotaciones, fuentes caballerescas, bibliografía crítica, enlaces externos)

formato XML: contiene la base de datos completa con indicación de la versión.
DOI: 10.17632/gyhk7sd38w.2
title: G-quadruplexes associated with R-loops promote CTCF binding. Wulfridge et al.

description: CTCF is a critical regulator of genome architecture and gene expression that binds thousands of sites on chromatin. CTCF genomic localization is controlled by recognition of a DNA sequence motif and regulated by DNA modifications. However, CTCF does not bind to all its potential sites in all cell types, raising the question of whether underlying chromatin structure can regulate CTCF occupancy. Here we report that R-loops facilitate CTCF binding through formation of associated G-quadruplex (G4) structures. R-loops and G4s co-localize with CTCF at many genomic regions in mouse embryonic stem cells and promote CTCF binding to its cognate DNA motif in vitro. R-loop attenuation reduces CTCF binding in vivo. Deletion of a specific G4-forming motif in a gene reduces CTCF binding and alters gene expression. Conversely, chemical stabilization of G4s results in CTCF gains and accompanying alterations in chromatin organization, suggesting a pivotal role for G4 structures in reinforcing long-range genome interactions through CTCF.
DOI: 10.17632/gyhk7sd38w.1
title: G-quadruplexes associated with R-loops promote CTCF binding. Wulfridge et al.

description: CTCF is a critical regulator of genome architecture and gene expression that binds to thousands of sites on chromatin. CTCF genomic localization is controlled by its interaction to a DNA sequence motif and regulated by DNA modifications. However, CTCF does not bind to all its potential sites in all cell types, raising the question of whether the underlying chromatin structure can regulate CTCF binding. Here we report that R-loops, three-stranded chromatin structures that contain DNA:RNA hybrids, facilitate CTCF binding through formation of the associated G-quadruplex (G4) secondary DNA structure. R-loops and G4 structures are co-localized with CTCF at many genomic regions in vivo and promote CTCF binding to its cognate DNA motif in vitro. Removal of R-loops and local deletion of a G4 forming motif reduce CTCF binding, which in turn can alter gene expression. Conversely, chemical stabilization of G4s in undifferentiated stem cells results in CTCF gains and accompanying alterations in chromatin organization. Finally, G4 induction upon neurodifferentiation is associated with CTCF increase at bivalent genes. Our results suggest that formation of G4 structures by R-loops plays a pivotal role in reinforcing long range chromatin interactions through CTCF.
DOI: 10.17632/4fwbcswj8d.1
title: Inherited PD-L1 deficiency: single-cell RNA sequencing (scRNASeq) of cryopreserved PBMCs

description: Cryopreserved PBMCs from the PD-L1-deficient siblings, their heterozygous mother, one age-matched healthy control, and two adult healthy controls were subjected to single-cell RNA sequencing (scRNASeq) analysis as previously described (Ogishi et al., JEM., 2022). In addition, PBMCs from two APDS patients and one STAT3 GOF patient were analyzed as disease controls. Previously obtained data for healthy and diseased controls, including the PD-1-deficient child and his healthy brother (Ogishi et al., Nat. Med., 2021) and one RNaseL-deficient MIS-C patient (Lee et al., Science., 2023), were also integrated into the analysis. Gene regulatory network (GRN) analysis was conducted with the SCENIC pipeline (Aibar et al., Nat. Method., 2017).
DOI: 10.25814/9b66-xa81
title: ABARES Fishery Status Reports map data: Southern and Eastern Scalefish and Shark Fishery (SESSF), Commonwealth Trawl Sector, Squid Catch (SCSQ): fishing intensity and maximum area fished, annual map data for 2010 to 2022

description: This dataset presents maps of fishing intensity and maximum area fished of ocean waters by the Southern and Eastern Scalefish and Shark Fishery (SESSF), Commonwealth Trawl Sector, where the catch was squid (SCSQ). 

The data were prepared as part of the annual ABARES Fishery Status Reports series, which provides an independent evaluation of the biological and economic status of fish stocks managed solely or jointly by the Australian Government. The data were produced by ABARES from data supplied by the Australian Fisheries Management Authority (AFMA).

The data are presented annually by calendar year (1 January to 31 December) to coincide with the Southern Squid Fishery fishing season.

The data are polygon vector format, stored in an ESRI file geodatabase, prepared using ArcGIS Desktop ArcMap version 10.8. 

Fishing intensity is defined as the total catch of squid (only), in kilograms, within a given Southern Squid Jig Fishery fishing season (calendar year), divided by the total area fished in square kilometres. Fishing intensity is presented as classified data in low, medium and high intensity classes. The data attributes include the class, the range of values in the class and the unit of measure. The classification used may vary from year to year, depending on a range of environmental and economic factors. 

Maximum area fished is defined as the maximum area within which fishing occurred during a given fishing season as polygon cells of one degree of longitude by one degree of latitude (approximately 111 kilometres x 111 kilometres). A cell is included if any fishing activity occurred anywhere within that one degree by one degree cell. Note that cells included in this dataset may also partially cover land.

The data supplied by AFMA were filtered to remove activity by fewer than five boats within the area of analysis in order to conform with AFMA’s Information Disclosure Policy (https://www.afma.gov.au/about/fisheries-management-policies/information-disclosure-fisheries-management-paper).
DOI: 10.6084/m9.figshare.25457977
title: Supplementary Material for: First In Vivo Experiment with PulmValve Endobronchial Valve: Feasibility, Efficiency, and Safety

description: Introduction: Endoscopic Lung Volume Reduction (ELVR) with endobronchial valves has been widely recognized for treating hyperinflation in advanced COPD and emphysema patients. The main challenges include the technical complexity of upper lobe implantation and the number of endobronchial valves required. These issues might be addressed by placing larger-diameter valves in the lobar bronchus. This study evaluated the feasibility, efficiency, and safety of the new valve PulmValve (model PV-13) in porcine models.
Methods: Six PV-13 valves were bronchoscopically implanted into the caudal lobe bronchus of six healthy pigs. The procedure time, valve deployment, and removability were recorded. Follow-up examinations included blood tests, chest CT scans, and bronchoscopy at 30 minutes, 14 days, 28 days, and 84 days post-procedure, with necropsy and pathological evaluations after the final follow-up examination.
Results: The successful in vivo deployment and removal of PV-13 valves was established, with a median procedure time of 6.5 minutes. The distal lung volume reduction was evident at 30 minutes post-operation and was persistently monitored on day 84. No migration or malfunction of any PV-13 valves was detected, but a mild angle deviation was found in three cases. Coughing was observed in four pigs within the first seven days, and localized granulation tissue was observed in all pigs. No cases of pneumothorax, diffuse pneumonia, or hemoptysis were detected.
Conclusions: In this study, we report the successful implantation and removal of a new valve PulmValve in a short operation time. Complete lobar atelectasis was induced without device migration, malfunction, or severe complications. Further studies are warranted to evaluate the long-term, sustained effects, and potential benefits in human patients.
DOI: 10.25814/d03f-mh11
title: ABARES Fishery Status Reports map data: Southern and Eastern Scalefish and Shark Fishery (SESSF), Commonwealth Trawl Sector, Danish-seine Sub-Sector (SCDS): fishing intensity and maximum area fished, annual map data for 2010 to 2022

description: This dataset presents maps of fishing intensity and maximum area fished of ocean waters within the Southern and Eastern Scalefish and Shark Fishery (SESSF), Commonwealth Trawl Sector (CTS), Danish-seine sub-sector (SCDS). 

The data were prepared as part of the annual ABARES Fishery Status Reports series, which provides an independent evaluation of the biological and economic status of fish stocks managed solely or jointly by the Australian Government. The data were produced by ABARES from data supplied by the Australian Fisheries Management Authority (AFMA).

The data are presented annually, by fishing season which runs from 1 May to 30 April for this fishery. For example, for this fishery, the 2022 season runs from 1 May 2022 to 30 April 2023. 

The data are polygon vector format, stored in an ESRI file geodatabase, prepared using ArcGIS Desktop ArcMap version 10.8. 

Fishing intensity is defined as the total fishing effort within a given fishing season, divided by the total area fished in square kilometres. The unit of effort in the CTS Danish-seine sub-sector is measured as the number of shots, Fishing intensity is presented as classified data in low, medium and high intensity classes. The data attributes include the class, the range of values in the class and the unit of measure. The classification used may vary from year to year, depending on a range of environmental and economic factors. 

Maximum area fished is defined as the maximum area within which fishing occurred during a given fishing season as polygon cells of one degree of longitude by one degree of latitude (approximately 111 kilometres x 111 kilometres). A cell is included if any fishing activity occurred anywhere within that one degree by one degree cell. Note that cells included in this dataset may also partially cover land.

The data supplied by AFMA were filtered to remove activity by fewer than five boats within the area of analysis in order to conform with AFMA’s Information Disclosure Policy (https://www.afma.gov.au/about/fisheries-management-policies/information-disclosure-fisheries-management-paper).
DOI: 10.25814/8xrk-zt26
title: ABARES Fishery Status Reports map data: Southern Bluefin Tuna Fishery (SBTF): fishing intensity and maximum area fished, annual map data for 2010 to 2022

description: This dataset presents maps of fishing intensity and maximum area fished of ocean waters within the Southern Bluefin Tuna Fishery (SBTF). 

The data were prepared as part of the annual ABARES Fishery Status Reports series, which provides an independent evaluation of the biological and economic status of fish stocks managed solely or jointly by the Australian Government. The data were produced by ABARES from data supplied by the Australian Fisheries Management Authority (AFMA).

The data are presented annually, by fishing season which runs from 1 December to 30 November for this fishery. For example, for this fishery, the 2021-22 year runs from 1 December 2021 to 30 November 2022. 

The data are polygon vector format, stored in an ESRI file geodatabase, prepared using ArcGIS Desktop ArcMap version 10.8. 

There are two sectors in this fishery: purse-seining in the waters off eastern South Australia and longlining off the southern end of the east coast of Australia. These sectors are referred to, respectively, as purse-seine and longline.
 
Fishing intensity in this fishery is defined differently in the two sectors of the fishery. Fishing intensity in the purse-seine sector is defined as the total fishing effort, measured as the number of operations, divided by the total area fished in square kilometres. Fishing intensity in the longline sector is defined as the total catch, measured in kilograms, divided by the total area fished in square kilometres. In both cases, effort and catch are measured over the period of the fishing season. Fishing intensity is presented as classified data in low, medium and high intensity classes. The data attributes include the class, the range of values in the class and the unit of measure. The classification used may vary from year to year, depending on a range of environmental and economic factors. 

Maximum area fished is defined as the maximum area within which fishing occurred during a given fishing season as polygon cells of one degree of longitude by one degree of latitude (approximately 111 kilometres x 111 kilometres). A cell is included if any fishing activity occurred anywhere within that one degree by one degree cell. Note that cells included in this dataset may also partially cover land.

The data supplied by AFMA were filtered to remove activity by fewer than five boats within the area of analysis in order to conform with AFMA’s Information Disclosure Policy (https://www.afma.gov.au/about/fisheries-management-policies/information-disclosure-fisheries-management-paper).
DOI: 10.5281/zenodo.10851014
title: Observation Database for Exploring the footprint representation of microwave radiance observations in an Arctic limited-area data assimilation system

description: Basic matplotlib visualization for observational databases.Archive files, readme, and visualisation script are attached.

The python script visualizes the statistics related to observation minus background departures for AMSU-A and MHS sensors usingthe default and footprint observation operators in the AROME-Arctic data assimilation system.

The corresponding preprint:gmd-2023-195 | Submitted 02 Oct 2023 | Development and technical paperExploring the footprint representation of microwave radiance observations in an Arctic limited-area data assimilation systemMáté Mile, Stephanie Guedj, and Roger Randriamampianina
DOI: 10.5281/zenodo.10851015
title: Observation Database for Exploring the footprint representation of microwave radiance observations in an Arctic limited-area data assimilation system

description: Basic matplotlib visualization for observational databases.Archive files, readme, and visualisation script are attached.

The python script visualizes the statistics related to observation minus background departures for AMSU-A and MHS sensors usingthe default and footprint observation operators in the AROME-Arctic data assimilation system.

The corresponding preprint:gmd-2023-195 | Submitted 02 Oct 2023 | Development and technical paperExploring the footprint representation of microwave radiance observations in an Arctic limited-area data assimilation systemMáté Mile, Stephanie Guedj, and Roger Randriamampianina
DOI: 10.25814/yevy-yx59
title: ABARES Fishery Status Reports map data: North West Slope Trawl Fishery (NWSTF): fishing intensity and maximum area fished, annual map data for 2010 to 2022

description: This dataset presents maps of fishing intensity and maximum area fished of ocean waters within the North West Slope Trawl Fishery (NWSTF). 

The data were prepared as part of the annual ABARES Fishery Status Reports series, which provides an independent evaluation of the biological and economic status of fish stocks managed solely or jointly by the Australian Government. The data were produced by ABARES from data supplied by the Australian Fisheries Management Authority (AFMA).

The data are presented annually, by fishing season which runs from 1 July to 30 June for this fishery. For example, for this fishery, the 2021-22 season runs from 1 July 2021 to 30 June 2022. 

The data are polygon vector format, stored in an ESRI file geodatabase, prepared using ArcGIS Desktop ArcMap version 10.8. 

Fishing intensity is defined as the total fishing effort within a given fishing season, divided by the total area fished in square kilometres. The unit of effort in the North West Slope Trawl Fishery is measured as the number of hours trawled. Fishing intensity is presented as classified data in low, medium and high intensity classes. The data attributes include the class, the range of values in the class and the unit of measure. The classification used may vary from year to year, depending on a range of environmental and economic factors. 

Maximum area fished is defined as the maximum area within which fishing occurred during a given fishing season as polygon cells of one degree of longitude by one degree of latitude (approximately 111 kilometres x 111 kilometres). A cell is included if any fishing activity occurred anywhere within that one degree by one degree cell. Note that cells included in this dataset may also partially cover land.

The data supplied by AFMA were filtered to remove activity by fewer than five boats within the area of analysis in order to conform with AFMA’s Information Disclosure Policy (https://www.afma.gov.au/about/fisheries-management-policies/information-disclosure-fisheries-management-paper).
DOI: 10.25814/pvc1-8e02
title: ABARES Fishery Status Reports map data: Northern Prawn Fishery (NPF): fishing intensity and maximum area fished, annual map data for 2010 to 2022

description: This dataset presents maps of fishing intensity and maximum area fished of ocean waters within the Northern Prawn Fishery (NPF). 

The data were prepared as part of the annual ABARES Fishery Status Reports series, which provides an independent evaluation of the biological and economic status of fish stocks managed solely or jointly by the Australian Government. The data were produced by ABARES from data supplied by the Australian Fisheries Management Authority (AFMA).

The data are presented annually, by fishing season, which runs from 1 January to 31 December for this fishery. 

The data are polygon vector format, stored in an ESRI file geodatabase, prepared using ArcGIS Desktop ArcMap version 10.8. 

Fishing intensity is defined as the total fishing effort within a given fishing season, divided by the total area fished in square kilometres. The unit of effort in the Northern Prawn Fishery is measured as the number of days fishing. Fishing intensity is presented as classified data in low, medium and high intensity classes. The data attributes include the class, the range of values in the class and the unit of measure. The classification used may vary from year to year, depending on a range of environmental and economic factors. 

Maximum area fished is defined as the maximum area within which fishing occurred during a given fishing season as polygon cells of one degree of longitude by one degree of latitude (approximately 111 kilometres x 111 kilometres). A cell is included if any fishing activity occurred anywhere within that one degree by one degree cell. Note that cells included in this dataset may also partially cover land.

The data supplied by AFMA were filtered to remove activity by fewer than five boats within the area of analysis in order to conform with AFMA’s Information Disclosure Policy (https://www.afma.gov.au/about/fisheries-management-policies/information-disclosure-fisheries-management-paper).