cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/ff4b43475c9641cca1dad2c8be8dadaf
title: ForestScan Project : Terrestrial Laser Scanning (TLS) of FBRMS-02: Station d’Etudes des Gorilles et Chimpanzés, Lopé National Park, Gabon 1ha plot OKO-02, June to July 2022

description: Terrestrial laser scanning (TLS) was conducted at three ForestScan 1ha (100m x 100m) Forest Biomass Reference Measurement Site (FBRMS) plots in Gabon from June to July 2022 by Cecilia Chavana-Bryant using a Riegl VZ-400i scanner. Data collection assistance was provided by Heddy O. Milamizokou Napo, Luna Soenens and Virginie Daelemans, data processing assistance was provided by Mr Peter Vines. This data collection was part of the European Space Agency (ESA) funded ForestScan project designed to improve the use of new Earth Observation (EO) estimates of above ground biomass (AGB) by providing TLS-, unmanned airborne vehicles (UAV-LS)- and airborne (ALS) LiDAR scanning-derived AGB and tree census data to compare to allometric and EO-derived estimates.

Scans were acquired using chain sampling at 121 locations along a 10m Cartesian grid to ensure sufficient data overlap to produce high-quality point clouds for all ForestScan 1ha FBRMS plots. Due to the scanner's 100° field of view, capturing a complete sample of the scene at each scan location required two scans -an upright scan and a tilt scan. Upright scans are odd-numbered while tilt scans are even-numbered. The first scan at each plot is collected at the southwest corner, i.e. scan position 0,0 (unless something impedes it, e.g. stream, large tree fall, etc. or if the plot is oriented differently). To facilitate scan registration, five retro-reflective targets were located between scan positions with all tilt scans along the first sampling line were oriented towards the same sampling position along the next sampling line and tilt scans at the ends of sampling lines (i.e. tilt scans along plot edges) were oriented towards the inside of the plot. This aids scan registration as it allows tilt scans to capture the previous scan location within its field of view. A total of 242 scans were collected at each plot.

The Riegl operating and processing software RiSCAN PRO version 2.14.1 was used to generate a plot-level point cloud, scans were coarse registered using the shared retro-reflective targets located between consecutive scan positions. Coarse registration was then fine-tuned using Multi Station Adjustment 2 (MSA2).

Data for each of the four FBRMS plots is found within plot directories: LPG-01, OKO-01, OKO-02 and OKO-03. Plot directories contain a main project directory (named using the starting date of data collection, e.g. 2022-06-10_OKO-02.PROJ) with nine data subdirectories and a tile_index.dat file as shown in the archived document /neodc/forestscan/data/gabon/lope/TLS_lope_2022/OKO-02/ForestScan_example_data_directory_structure.pdf which details the data structure shared by all FBRSM plot TLS datasets
DOI: 10.5285/45ae3437f82f4e4fb75f9a5c26a194ba
title: ForestScan Project : Terrestrial Laser Scanning (TLS) of FBRMS-02: Station d’Etudes des Gorilles et Chimpanzés, Lopé National Park, Gabon 1ha plot OKO-01, June to July 2022

description: Terrestrial laser scanning (TLS) was conducted at three ForestScan 1ha (100m x 100m) Forest Biomass Reference Measurement Site (FBRMS) plots in Gabon from June to July 2022 by Cecilia Chavana-Bryant using a Riegl VZ-400i scanner. Data collection assistance was provided by UCL postdoc Dr Phil Wilkes and a local team of field assistants, data processing assistance was provided by Mr Peter Vines. This data collection was part of the European Space Agency (ESA) funded ForestScan project designed to improve the use of new Earth Observation (EO) estimates of above ground biomass (AGB) by providing TLS-, unmanned airborne vehicles (UAV-LS)- and airborne (ALS) LiDAR scanning-derived AGB and tree census data to compare to allometric and EO-derived estimates.

Scans were acquired using chain sampling at 121 locations along a 10m Cartesian grid to ensure sufficient data overlap to produce high-quality point clouds for all ForestScan 1ha FBRMS plots. Due to the scanner's 100° field of view, capturing a complete sample of the scene at each scan location required two scans -an upright scan and a tilt scan. Upright scans are odd-numbered while tilt scans are even-numbered. The first scan at each plot is collected at the southwest corner, i.e. scan position 0,0 (unless something impedes it, e.g. stream, large tree fall, etc. or if the plot is oriented differently). To facilitate scan registration, five retro-reflective targets were located between scan positions with all tilt scans along the first sampling line were oriented towards the same sampling position along the next sampling line and tilt scans at the ends of sampling lines (i.e. tilt scans along plot edges) were oriented towards the inside of the plot. This aids scan registration as it allows tilt scans to capture the previous scan location within its field of view. A total of 242 scans were collected at each plot.

The Riegl operating and processing software RiSCAN PRO version 2.14.1 was used to generate a plot-level point cloud, scans were coarse registered using the shared retro-reflective targets located between consecutive scan positions. Coarse registration was then fine-tuned using Multi Station Adjustment 2 (MSA2).

Data for each of the four FBRMS plots is found within plot directories: LPG-01, OKO-01, OKO-02 and OKO-03. Plot directories contain a main project directory (named using the starting date of data collection, e.g. 2022-06-04_OKO-01.PROJ) with nine data subdirectories and a tile_index.dat file as shown in the archived document /neodc/forestscan/data/gabon/lope/TLS_lope_2022/OKO-01/ForestScan_example_data_directory_structure.pdf which details the data structure shared by all FBRSM plot TLS datasets.
DOI: 10.5285/8ea2c697ee53430a84825384bfdcf06a
title: ForestScan Project : Terrestrial Laser Scanning (TLS) of FBRMS-02: Station d’Etudes des Gorilles et Chimpanzés, Lopé National Park, Gabon 1ha plot LPG-01, June to July 2022

description: Terrestrial laser scanning (TLS) was conducted at three ForestScan 1ha (100m x 100m) Forest Biomass Reference Measurement Site (FBRMS) plots in Gabon from June to July 2022 by Cecilia Chavana-Bryant using a Riegl VZ-400i scanner. Data collection assistance was provided by Heddy O. Milamizokou Napo, Luna Soenens, Virginie Daelemans and Löic Makaga, data processing assistance was provided by Mr Peter Vines. This data collection was part of the European Space Agency (ESA) funded ForestScan project designed to improve the use of new Earth Observation (EO) estimates of above ground biomass (AGB) by providing TLS-, unmanned airborne vehicles (UAV-LS)- and airborne (ALS) LiDAR scanning-derived AGB and tree census data to compare to allometric and EO-derived estimates.

Scans were acquired using chain sampling at 121 locations along a 10m Cartesian grid to ensure sufficient data overlap to produce high-quality point clouds for all ForestScan 1ha FBRMS plots. Due to the scanner's 100° field of view, capturing a complete sample of the scene at each scan location required two scans -an upright scan and a tilt scan. Upright scans are odd-numbered while tilt scans are even-numbered. The first scan at each plot is collected at the southwest corner, i.e. scan position 0,0 (unless something impedes it, e.g. stream, large tree fall, etc. or if the plot is oriented differently). To facilitate scan registration, five retro-reflective targets were located between scan positions with all tilt scans along the first sampling line were oriented towards the same sampling position along the next sampling line and tilt scans at the ends of sampling lines (i.e. tilt scans along plot edges) were oriented towards the inside of the plot. This aids scan registration as it allows tilt scans to capture the previous scan location within its field of view. A total of 242 scans were collected at each plot.

The Riegl operating and processing software RiSCAN PRO version 2.14.1 was used to generate a plot-level point cloud, scans were coarse registered using the shared retro-reflective targets located between consecutive scan positions. Coarse registration was then fine-tuned using Multi Station Adjustment 2 (MSA2).

Data for each of the four FBRMS plots is found within plot directories: LPG-01, OKO-01, OKO-02 and OKO-03. Plot directories contain a main project directory (named using the starting date of data collection, e.g. 2022-06-24_LPG-01.PROJ) with nine data subdirectories and a tile_index.dat file as shown in the archived document /neodc/forestscan/data/gabon/lope/TLS_lope_2022/LPG-01/ForestScan_example_data_directory_structure.pdf which details the data structure shared by all FBRSM plot TLS datasets.
DOI: 10.6084/m9.figshare.28685303
title: Supplementary Material for: Heavily Pretreated Refractory Diffuse Large B-Cell Lymphoma (DLBCL) Successfully Treated With Epcoritamab: Case Report

description: Introduction: Relapsed or refractory diffuse large B-cell lymphoma (DLBCL) poses considerable treatment challenges, with disheartening odds of long-term survival. Numerous strategies exist, including non–cross-resistant combination chemoimmunotherapy regimens, autologous stem cell transplantation, and chimeric antigen receptor (CAR) T-cell therapy, but some patients are not appropriate candidates or cannot sustain response to treatment. Epcoritamab, a bispecific CD20-directed CD3 T-cell engager, has been given accelerated approval by the US Food and Drug Administration for relapsed or refractory DLBCL.
Case Presentation: We present the case of a 61-year-old male diagnosed with stage 4 “double-hit” DLBCL with MYC and BCL6 rearrangement, who initially received one cycle of rituximab HyperCVAD (initiated 7/23/2021). He then received dose-adjusted etoposide, prednisone, vincristine, cyclophosphamide, and doxorubicin (DA-EPOCH) followed by high-dose methotrexate and initially responded but relapsed several months later. As the patient was not a candidate for transplant, subsequent treatment rounds included rituximab, gemcitabine, dexamethasone, and cisplatin (R-GDP) and CD19 CAR T-cell therapy; tafasitamab-cxix and lenalidomide; and polatuzumab vedotin plus bendamustine and rituximab (pola-BR). Despite intermittent treatment response, his disease continued to progress. He began treatment with epcoritamab through the early-access program but showed early signs of continued progression; his status deteriorated until further treatment had to be withheld. Within approximately 1 month, he could resume treatment, achieving a Deauville score of 1 approximately 3 months after beginning epcoritamab, and continues follow-up nearly 2 years later.
Conclusion: T-cell engager therapies, such as epcoritamab, can play a role in managing patients with refractory DLBCL, including those refractory to CAR T-cell therapy.
DOI: 10.6084/m9.figshare.28685303.v1
title: Supplementary Material for: Heavily Pretreated Refractory Diffuse Large B-Cell Lymphoma (DLBCL) Successfully Treated With Epcoritamab: Case Report

description: Introduction: Relapsed or refractory diffuse large B-cell lymphoma (DLBCL) poses considerable treatment challenges, with disheartening odds of long-term survival. Numerous strategies exist, including non–cross-resistant combination chemoimmunotherapy regimens, autologous stem cell transplantation, and chimeric antigen receptor (CAR) T-cell therapy, but some patients are not appropriate candidates or cannot sustain response to treatment. Epcoritamab, a bispecific CD20-directed CD3 T-cell engager, has been given accelerated approval by the US Food and Drug Administration for relapsed or refractory DLBCL.
Case Presentation: We present the case of a 61-year-old male diagnosed with stage 4 “double-hit” DLBCL with MYC and BCL6 rearrangement, who initially received one cycle of rituximab HyperCVAD (initiated 7/23/2021). He then received dose-adjusted etoposide, prednisone, vincristine, cyclophosphamide, and doxorubicin (DA-EPOCH) followed by high-dose methotrexate and initially responded but relapsed several months later. As the patient was not a candidate for transplant, subsequent treatment rounds included rituximab, gemcitabine, dexamethasone, and cisplatin (R-GDP) and CD19 CAR T-cell therapy; tafasitamab-cxix and lenalidomide; and polatuzumab vedotin plus bendamustine and rituximab (pola-BR). Despite intermittent treatment response, his disease continued to progress. He began treatment with epcoritamab through the early-access program but showed early signs of continued progression; his status deteriorated until further treatment had to be withheld. Within approximately 1 month, he could resume treatment, achieving a Deauville score of 1 approximately 3 months after beginning epcoritamab, and continues follow-up nearly 2 years later.
Conclusion: T-cell engager therapies, such as epcoritamab, can play a role in managing patients with refractory DLBCL, including those refractory to CAR T-cell therapy.
DOI: 10.5285/40f0f38023ac40f6b40bbf96e4dc5258
title: ForestScan Project : Terrestrial Laser Scanning (TLS) of FBRMS-01: Paracou, French Guiana 1ha plot FG8c4, September to October 2022

description: Terrestrial laser scanning (TLS) was conducted at three ForestScan 1ha (100m x 100m) Forest Biomass Reference Measurement Site (FBRMS) plots in French Guiana from September to October 2022 by Cecilia Chavana-Bryant using a Riegl VZ-400i scanner. This data collection was part of the European Space Agency (ESA) funded ForestScan project designed to improve the use of new Earth Observation (EO) estimates of above ground biomass (AGB) by providing TLS-, unmanned airborne vehicles (UAV-LS)- and airborne (ALS) LiDAR scanning-derived AGB and tree census data to compare to allometric and EO-derived estimates.

Scans were acquired using chain sampling at 121 locations along a 10m Cartesian grid to ensure sufficient data overlap to produce high-quality point clouds for all ForestScan 1ha FBRMS plots. Due to the scanner's 100° field of view, capturing a complete sample of the scene at each scan location required two scans -an upright scan and a tilt scan. Upright scans are odd-numbered while tilt scans are even-numbered. The first scan at each plot is collected at the southwest corner, i.e. scan position 0,0 (unless something impedes it, e.g. stream, large tree fall, etc. or if the plot is oriented differently). To facilitate scan registration, five retro-reflective targets were located between scan positions with all tilt scans along the first sampling line were oriented towards the same sampling position along the next sampling line and tilt scans at the ends of sampling lines (i.e. tilt scans along plot edges) were oriented towards the inside of the plot. This aids scan registration as it allows tilt scans to capture the previous scan location within its field of view. A total of 242 scans were collected at each plot.

The Riegl operating and processing software RiSCAN PRO version 2.14.1 was used to generate a plot-level point cloud, scans were coarse registered using the shared retro-reflective targets located between consecutive scan positions. Coarse registration was then fine-tuned using Multi Station Adjustment 2 (MSA2).

Data for each of the three FBRMS plots is found within plot directories: FG5c1, FG6c2 and FG8c4. Plot directories contain a main project directory (named using the starting date of data collection, e.g. 2022-09-26_FG8c4.PROJ) with nine data subdirectories and a tile_index.dat file as shown in the archived document /neodc/forestscan/data/french_guiana/paracou/TLS_Plot_FG8c4/ForestScan_example_data_directory_structure.pdf which details the data structure shared by all FBRSM plot TLS datasets.
DOI: 10.6084/m9.figshare.28685306
title: Supplementary Material for: Congenital Malalignment of the Great Toenails with Secondary Retronychia: A Tale of Twin Toenails

description: Introduction: Congenital malalignment of the great toenail (CMGT) is characterized by deviation of the nail plate due to rotation of the nail matrix. CMGT may be complicated by secondary retronychia. Case presentation: We report a case of twin 14-year-old females who presented with CMGT with secondary retronychia with no clear inciting event. Physical examination demonstrated lateral deviation of the great toenails with yellowed, thickened, and layered nail plates, consistent with a diagnosis of CMGT with secondary retronychia. The patients were advised to make relevant lifestyle changes and treated with clobetasol proprionate 0.05% ointment to use on all toenails daily for three months, with one week off per month, under occlusion. Conclusion: We hypothesize that both genetic and environmental factors likely contributed to the development of CMGT with secondary retronychia in these twins. Increased awareness and recognition of this underdiagnosed condition, particularly in the pediatric population, is important for timely and effective management.
DOI: 10.5285/931973db09af41568853702efe135f29
title: ForestScan Project : Terrestrial Laser Scanning (TLS) of FBRMS-01: Paracou, French Guiana 1ha plot FG6c2, September to October 2022

description: Terrestrial laser scanning (TLS) was conducted at three ForestScan 1ha (100m x 100m) Forest Biomass Reference Measurement Site (FBRMS) plots in French Guiana from September to October 2022 by Cecilia Chavana-Bryant using a Riegl VZ-400i scanner. This data collection was part of the European Space Agency (ESA) funded ForestScan project designed to improve the use of new Earth Observation (EO) estimates of above ground biomass (AGB) by providing TLS-, unmanned airborne vehicles (UAV-LS)- and airborne (ALS) LiDAR scanning-derived AGB and tree census data to compare to allometric and EO-derived estimates.

Scans were acquired using chain sampling at 121 locations along a 10m Cartesian grid to ensure sufficient data overlap to produce high-quality point clouds for all ForestScan 1ha FBRMS plots. Due to the scanner's 100° field of view, capturing a complete sample of the scene at each scan location required two scans -an upright scan and a tilt scan. Upright scans are odd-numbered while tilt scans are even-numbered. The first scan at each plot is collected at the southwest corner, i.e. scan position 0,0 (unless something impedes it, e.g. stream, large tree fall, etc. or if the plot is oriented differently). To facilitate scan registration, five retro-reflective targets were located between scan positions with all tilt scans along the first sampling line were oriented towards the same sampling position along the next sampling line and tilt scans at the ends of sampling lines (i.e. tilt scans along plot edges) were oriented towards the inside of the plot. This aids scan registration as it allows tilt scans to capture the previous scan location within its field of view. A total of 242 scans were collected at each plot.

The Riegl operating and processing software RiSCAN PRO version 2.14.1 was used to generate a plot-level point cloud, scans were coarse registered using the shared retro-reflective targets located between consecutive scan positions. Coarse registration was then fine-tuned using Multi Station Adjustment 2 (MSA2).

Data for each of the three FBRMS plots is found within plot directories: FG5c1, FG6c2 and FG8c4. Plot directories contain a main project directory (named using the starting date of data collection, e.g. 2022-10-18_FG6c2.PROJ) with nine data subdirectories and a tile_index.dat file as shown in the archived document /neodc/forestscan/data/french_guiana/paracou/TLS_Plot_FG6c2/ForestScan_example_data_directory_structure.pdf which details the data structure shared by all FBRSM plot TLS datasets.
DOI: 10.5285/656ac8ee1d42443f9addcbce28c1b137
title: ForestScan Project : Terrestrial Laser Scanning (TLS) of FBRMS-01: Paracou, French Guiana 1ha plot FG5c1, September to October 2022

description: Terrestrial laser scanning (TLS) was conducted at three ForestScan 1ha (100m x 100m) Forest Biomass Reference Measurement Site (FBRMS) plots in French Guiana from September to October 2022 by Cecilia Chavana-Bryant using a Riegl VZ-400i scanner. Data collection assistance was provided by UCL PhD student Wanxin Yang and a local team of field assistants, data processing assistance was provided by Mr Peter Vines. This data collection was part of the European Space Agency (ESA) funded ForestScan project designed to improve the use of new Earth Observation (EO) estimates of above ground biomass (AGB) by providing terrestial (TLS), unpiloted airborne vehicles (UAV-LS)- and airborne (ALS) LiDAR scanning-derived AGB and tree census data to compare to allometric and EO-derived estimates.

Scans were acquired using chain sampling at 121 locations along a 10m Cartesian grid to ensure sufficient data overlap to produce high-quality point clouds for all ForestScan 1ha FBRMS plots. Due to the scanner's 100° field of view, capturing a complete sample of the scene at each scan location required two scans -an upright scan and a tilt scan. Upright scans are odd-numbered while tilt scans are even-numbered. The first scan at each plot is collected at the southwest corner, i.e. scan position 0,0 (unless something impedes it, e.g. stream, large tree fall, etc. or if the plot is oriented differently). To facilitate scan registration, five retro-reflective targets were located between scan positions with all tilt scans along the first sampling line were oriented towards the same sampling position along the next sampling line and tilt scans at the ends of sampling lines (i.e. tilt scans along plot edges) were oriented towards the inside of the plot. This aids scan registration as it allows tilt scans to capture the previous scan location within its field of view. A total of 242 scans were collected at each plot.

The Riegl operating and processing software RiSCAN PRO version 2.14.1 was used to generate a plot-level point cloud, scans were coarse registered using the shared retro-reflective targets located between consecutive scan positions. Coarse registration was then fine-tuned using Multi Station Adjustment 2 (MSA2).

Data for each of the three FBRMS plots is found within plot directories: FG5c1, FG6c2 and FG8c4. Plot directories contain a main project directory (named using the starting date of data collection, e.g. 2022-10-10_FG5c1.PROJ) with nine data subdirectories and a tile_index.dat file as shown in the archived document /neodc/forestscan/data/french_guiana/paracou/TLS_Plot_FG5c1/ForestScan_example_data_directory_structure.pdf which details the data structure shared by all FBRSM plot TLS datasets.
DOI: 10.6084/m9.figshare.28685315
title: Supplementary Material for: Polycystic Ovary Syndrome, Endometriosis and Venous Thromboembolism: A population-based study

description: Background: There is a paucity of studies on the association between polycystic ovary syndrome (PCOS) and endometriosis and the occurrence of venous thromboembolism (VTE).
Objective: Our study aimed to evaluate the association between PCOS, endometriosis, deep vein thrombosis (DVT) and pulmonary embolism (PE).
Methods: This was a retrospective study of prospectively collected data using the Healthcare Cost and Utilization Project database. We examined the association between PCOS and endometriosis with DVT and PE from a cohort of 12,814,970 female patients, aged 18 to 49 years, who were hospitalized between 2007 and 2014. 
Results: We observed increasing trends, with a relative increase of 140% (from 0.27% to 0.65%) for PCOS, 16% (from 0.43% to 0.50%) for DVT, and 39% (from 0.23% to 0.32%) for PE, whereas we observed a decline by 34% for endometriosis (from 0.85% to 0.56%). The unadjusted analysis showed an association between PCOS and VTE, which remained significant after adjustment for sociodemographic characteristics and comorbidities (OR=2.16; 95%CI 2.00-2.33 and 2.44; 95%CI 2.23-2.67 for DVT and PE, respectively). The association between endometriosis and VTE was age-dependent, with an increased risk of VTE among women 18-24 years whereas this risk was decreased among those 35 years and older. 
Conclusion: Our study indicates an association between PCOS and VTE, and an age-dependent association between endometriosis and VTE.