cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.31119092.v1
title: Three new species of <i>Buellia</i> s.l. from the Qinghai-Tibetan Plateau represent a new lineage, the <i>pruinocalcarea</i>-group

description: During scientific expeditions across the Qinghai-Tibetan Plateau, a group of <i>Buellia</i> species were frequently collected from alpine arid regions. These were characterized by having whitish chalky thalli, a surface covered with thick coarse pruina, a reddish-brown hypothecium, and the presence of xanthones. Detailed observations were made of specimen morphology and anatomy. Phylogenetic analysis was conducted based on four loci: the internal transcribed spacer of the rDNA (ITS), partial large subunit nuc rDNA region (28S), RNA polymerase II second largest subunit gene (<i>rpb2</i>), and β-tubulin gene (<i>tubb</i>). Three species, which formed a new distinct lineage within <i>Buellia</i> s.l. were confirmed as new to science: <i>Buellia plana, B. elevata</i>, and <i>B. tibetana</i>. This lineage is here referred to as the <i>pruinocalcarea</i>-group because of a species previously described that belongs to this group: <i>B. pruinocalcarea</i>. Species included in this group are closely related to <i>Tetramelas</i>; the group also has affinities to the <i>epigaea</i>-group and <i>subalbula</i>-group. Detailed descriptions, photographs of the new species, and a key to the species are provided.
DOI: 10.15468/dl.zsz8pg
title: Occurrence Download

description: A dataset containing 284 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudocerastes persicus"
 ]
}

 The dataset includes 284 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003261-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n3vcnn
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-115.83139 32.57711,-111.49429 27.75849,-107.46699 24.42045,-105.14354 19.68463,-101.27113 16.74231,-93.21651 15.10388,-91.97734 17.4825,-87.17555 20.84706,-95.38507 18.07248,-98.1732 25.54366,-115.83139 32.57711))",
 "HasGeospatialIssue is false",
 "TaxonKey is Selenicereus coniflorus"
 ]
}

 The dataset includes 61 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003262-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gmb9qd
title: Occurrence Download

description: A dataset containing 442 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is North America",
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Hasarius adansoni"
 ]
}

 The dataset includes 442 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003263-260120142942310/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.24559506.v2
title: Health impact and cost effectiveness of implementing gender-neutral HPV vaccination in Japan

description: To assess the public health impact and cost effectiveness of gender-neutral vaccination (GNV) versus female-only vaccination (FOV) with human papillomavirus (HPV) vaccination in Japan. We modeled the public health impact and cost effectiveness of GNV versus FOV to prevent HPV-associated diseases in Japan over the next 100 years. We used one-way sensitivity analyses to examine the impact of varying key model input parameters and conducted scenario analyses to explore the effects of varying the vaccination coverage rate (VCR) of each cohort. In the base-case analysis, GNV averted additional cancer cases (17,228 female/6,033 male) and deaths (1,892 female/1,849 male) compared to FOV. When all HPV-associated diseases were considered, GNV had an incremental cost-effectiveness ratio of ¥4,732,320 (US$35,987)/quality-adjusted life year gained compared to FOV. The model was most sensitive to the discount rate and the disutility associated with HPV-related diseases. GNV had greater relative public health benefits when the female VCR was lower and was cost effective at a female VCR of 30%. Immediate implementation of GNV would reduce the disease burden and mortality associated with HPV in Japan, and would be cost effective compared to FOV if the female VCR remains low (30%). Human papillomavirus (HPV) is a common sexually transmitted infection and, in Japan, the prevalence of HPV infection and the incidence of its associated diseases are high among both men and women. In the present manuscript we modeled the public health impact and cost effectiveness of gender-neutral vaccination versus female-only vaccination to prevent HPV-associated diseases in Japan over the next 100 years and found that immediate implementation of a gender-neutral vaccination strategy would reduce the burden and mortality associated with HPV in Japan.
DOI: 10.6084/m9.figshare.22081091
title: Solar Panels in Satellite Imagery: Object Labels

description: <br>The folders in <i>labels.zip</i> contain labels for solar panel objects as part of the Solar Panels in Satellite Imagery dataset. The labels are partitioned based on corresponding image type: 31 cm native and 15.5 cm HD resolution imagery. In total, there are 2,542 object labels for each image type, following the same naming convention as the corresponding image chips. The corresponding image chips may be accessed at:https://vantor.com/resources/samples-15-cm-hd-and-30-cm-native-imagery-or-solar-panel-dataset-or-germany/The naming convention for all labels includes the name of the dataset, image type, tile identification number, minimum x bound, minimum y bound, and window size. The minimum bounds correspond to the origin of the chip in the full tile.Labels are provided in <i>.txt</i> format compatible with the YOLTv4 architecture, where a single row in a label file contains the following information for one solar panel object: category, x-center, y-center, x-width, and y-width. Center and width values are normalized by chip sizes (416 by 416 pixels for native chips and 832 by 832 pixels for HD chips).The geocoordinates for each solar panel object may be determined using the native resolution labels (found in the <i>labels_native</i> directory). The center and width values for each object, along with the relative location information provided by the naming convention for each label, may be used to determine the pixel coordinates for each object in the full, corresponding native resolution tile. The pixel coordinates may be translated to geocoordinates using the EPSG:32633 coordinate system and the following geotransform for each tile:Tile 1: (307670.04, 0.31, 0.0, 5434427.100000001, 0.0, -0.31)Tile 2: (312749.07999999996, 0.31, 0.0, 5403952.860000001, 0.0, -0.31)Tile 3: (312749.07999999996, 0.31, 0.0, 5363320.540000001, 0.0, -0.31)
DOI: 10.6084/m9.figshare.22081091.v3
title: Solar Panels in Satellite Imagery: Object Labels

description: <br>The folders in <i>labels.zip</i> contain labels for solar panel objects as part of the Solar Panels in Satellite Imagery dataset. The labels are partitioned based on corresponding image type: 31 cm native and 15.5 cm HD resolution imagery. In total, there are 2,542 object labels for each image type, following the same naming convention as the corresponding image chips. The corresponding image chips may be accessed at:https://vantor.com/resources/samples-15-cm-hd-and-30-cm-native-imagery-or-solar-panel-dataset-or-germany/The naming convention for all labels includes the name of the dataset, image type, tile identification number, minimum x bound, minimum y bound, and window size. The minimum bounds correspond to the origin of the chip in the full tile.Labels are provided in <i>.txt</i> format compatible with the YOLTv4 architecture, where a single row in a label file contains the following information for one solar panel object: category, x-center, y-center, x-width, and y-width. Center and width values are normalized by chip sizes (416 by 416 pixels for native chips and 832 by 832 pixels for HD chips).The geocoordinates for each solar panel object may be determined using the native resolution labels (found in the <i>labels_native</i> directory). The center and width values for each object, along with the relative location information provided by the naming convention for each label, may be used to determine the pixel coordinates for each object in the full, corresponding native resolution tile. The pixel coordinates may be translated to geocoordinates using the EPSG:32633 coordinate system and the following geotransform for each tile:Tile 1: (307670.04, 0.31, 0.0, 5434427.100000001, 0.0, -0.31)Tile 2: (312749.07999999996, 0.31, 0.0, 5403952.860000001, 0.0, -0.31)Tile 3: (312749.07999999996, 0.31, 0.0, 5363320.540000001, 0.0, -0.31)
DOI: 10.6084/m9.figshare.22081091.v2
title: Solar Panels in Satellite Imagery: Object Labels

description:  
The folders in <em>labels.zip</em> contain labels for solar panel objects as part of the Solar Panels in Satellite Imagery dataset. The labels are partitioned based on corresponding image type: 31 cm native and 15.5 cm HD resolution imagery. In total, there are 2,542 object labels for each image type, following the same naming convention as the corresponding image chips. The corresponding image chips may be accessed at: 
https://resources.maxar.com/product-samples/15-cm-hd-and-30-cm-view-ready-solar-panels-germany
The naming convention for all labels includes the name of the dataset, image type, tile identification number, minimum x bound, minimum y bound, and window size. The minimum bounds correspond to the origin of the chip in the full tile.   
Labels are provided in <em>.txt</em> format compatible with the YOLTv4 architecture, where a single row in a label file contains the following information for one solar panel object: category, x-center, y-center, x-width, and y-width. Center and width values are normalized by chip sizes (416 by 416 pixels for native chips and 832 by 832 pixels for HD chips).
The geocoordinates for each solar panel object may be determined using the native resolution labels (found in the <em>labels_native</em> directory). The center and width values for each object, along with the relative location information provided by the naming convention for each label, may be used to determine the pixel coordinates for each object in the full, corresponding native resolution tile. The pixel coordinates may be translated to geocoordinates using the EPSG:32633 coordinate system and the following geotransform for each tile:

 Tile 1: (307670.04, 0.31, 0.0, 5434427.100000001, 0.0, -0.31)
 Tile 2: (312749.07999999996, 0.31, 0.0, 5403952.860000001, 0.0, -0.31)
 Tile 3: (312749.07999999996, 0.31, 0.0, 5363320.540000001, 0.0, -0.31)
DOI: 10.6084/m9.figshare.29040037
title: Optimizing scan times in clinical neuroimaging: the potential of synthetic MRI

description: Synthetic Magnetic Resonance Imaging (SI) generates images from parametric maps of tissue properties and derives contrast weightings from the same acquisition. We aimed to evaluate the potential for scan time reduction using SI in patients with neurological indications in a tertiary care cantonal hospital. We searched our hospital database for head imaging performed between March 2020 and August 2022. Sequences were categorized as either fully replaceable (Scenario A) or potentially replaceable (Scenario B) if replacement would lead to limitations, such as resolution or contrast. We calculated the time used and potentially saved if all replaceable sequences and their respective planning were replaced by a 3-dimensional (3D) SI sequence lasting 3 or 5 min. We identified 4,320 head examinations. Total examination time for replaceable sequence imaging in Scenario A was 656 h 54 min (minimum: 506 h 26 min; maximum: 982 h 53 min) and 778 h 38 min (minimum: 602 h 34 min; maximum: 1,223 h 34 min) for Scenario A & B. If 3D SI had been used, the estimated time required would have been 216 h for a 3-minute 3D SI and 360 h for a 5-minute 3D SI. The application of SI would have yielded an estimated reduction of 440 h 54 min (minimum: 290 h 26 min; maximum: 766 h 53 min) for Scenario A, and 562 h 38 min (minimum: 386 h 34 min; maximum: 907 h 34 min) for Scenario A & B. Reducing scan time with 3D SI is feasible and depends on the scan time of 3D SI, the type and frequency of performed protocols, and its ability to meet high-quality requirements. The effectiveness is most pronounced when 3D SI can replace traditional weighted images while maintaining diagnostic standards.
DOI: 10.6084/m9.figshare.29040037.v1
title: Optimizing scan times in clinical neuroimaging: the potential of synthetic MRI

description: Synthetic Magnetic Resonance Imaging (SI) generates images from parametric maps of tissue properties and derives contrast weightings from the same acquisition. We aimed to evaluate the potential for scan time reduction using SI in patients with neurological indications in a tertiary care cantonal hospital. We searched our hospital database for head imaging performed between March 2020 and August 2022. Sequences were categorized as either fully replaceable (Scenario A) or potentially replaceable (Scenario B) if replacement would lead to limitations, such as resolution or contrast. We calculated the time used and potentially saved if all replaceable sequences and their respective planning were replaced by a 3-dimensional (3D) SI sequence lasting 3 or 5 min. We identified 4,320 head examinations. Total examination time for replaceable sequence imaging in Scenario A was 656 h 54 min (minimum: 506 h 26 min; maximum: 982 h 53 min) and 778 h 38 min (minimum: 602 h 34 min; maximum: 1,223 h 34 min) for Scenario A & B. If 3D SI had been used, the estimated time required would have been 216 h for a 3-minute 3D SI and 360 h for a 5-minute 3D SI. The application of SI would have yielded an estimated reduction of 440 h 54 min (minimum: 290 h 26 min; maximum: 766 h 53 min) for Scenario A, and 562 h 38 min (minimum: 386 h 34 min; maximum: 907 h 34 min) for Scenario A & B. Reducing scan time with 3D SI is feasible and depends on the scan time of 3D SI, the type and frequency of performed protocols, and its ability to meet high-quality requirements. The effectiveness is most pronounced when 3D SI can replace traditional weighted images while maintaining diagnostic standards.
DOI: 10.6084/m9.figshare.28694913
title: Characterizing the clinical and economic burden of COVID-19 among individuals with immunocompromising conditions in Ontario, Canada – a matched, population-based observational study

description: COVID-19 continues to be associated with substantial burden among immunocompromised patients (IC). This study aimed to describe and compare outcomes during and following COVID-19 hospitalizations among IC and non-IC patients. Patients hospitalized with COVID-19 (January 2020–March 2023) were identified in Ontario health administrative claims databases. All eligible IC (≥1 of solid organ or stem cell transplant; hematological malignancy; rheumatoid arthritis; multiple sclerosis; or primary immunodeficiency) were matched (1:4) to eligible non-IC. Clinical, resource, and costburden were assessed during and post-hospitalization. Multivariate regression models were used to estimate relative risks (RRi), rates (RRa), and corresponding 95% confidence intervals (CIs), adjusting for neighborhood deprivation, long-term care residency, baseline comorbidities, and COVID-19 vaccination status. 9,283 IC hospitalized (mean age 68.7 years; 52.1% female) were matched to 37,127 non-IC. During index hospitalization, IC had greater risks of intensive care unit admission (RRi = 1.06 [1.01–1.12]), ventilation (RRi = 1.27 [1.19–1.36]), and all-cause mortality (RRi = 1.34 [1.27–1.41]) compared to non-IC. Within 30-days post-discharge, IC had greater rates of all-cause readmission (RRa = 1.33 [1.26–1.40]), emergency departments admission (RRa = 1.13 [1.08–1.18]), home oxygen use (RRi = 1.35 [1.15–1.58]), and COVID-19-related rehabilitation (RRa = 1.52 [1.22–1.89]), resulting in 21% (16%–25%) and 51% (45%–58%) greater costs in hospital and post-discharge, respectively. All-cause mortality remained approximately 5% higher for IC vs. non-IC at 30- and 60-days post-discharge (<i>p</i> &lt; .001). Resource use remained elevated among IC with 57% (50%–64%) greater costs within 180 days post-discharge. Unmeasured confounding remains; hospital prescription data were not available such that treatments for COVID-19 were not captured. Attribution of post-discharge resource use and costs to COVID-19 was subject to greater uncertainty further from the index hospitalization. IC experienced more severe COVID-19 hospitalization outcomes compared to non-IC. COVID-mitigating policies and prophylactic treatments are needed to protect immunocompromised populations.
DOI: 10.6084/m9.figshare.28694913.v1
title: Characterizing the clinical and economic burden of COVID-19 among individuals with immunocompromising conditions in Ontario, Canada – a matched, population-based observational study

description: COVID-19 continues to be associated with substantial burden among immunocompromised patients (IC). This study aimed to describe and compare outcomes during and following COVID-19 hospitalizations among IC and non-IC patients. Patients hospitalized with COVID-19 (January 2020–March 2023) were identified in Ontario health administrative claims databases. All eligible IC (≥1 of solid organ or stem cell transplant; hematological malignancy; rheumatoid arthritis; multiple sclerosis; or primary immunodeficiency) were matched (1:4) to eligible non-IC. Clinical, resource, and costburden were assessed during and post-hospitalization. Multivariate regression models were used to estimate relative risks (RRi), rates (RRa), and corresponding 95% confidence intervals (CIs), adjusting for neighborhood deprivation, long-term care residency, baseline comorbidities, and COVID-19 vaccination status. 9,283 IC hospitalized (mean age 68.7 years; 52.1% female) were matched to 37,127 non-IC. During index hospitalization, IC had greater risks of intensive care unit admission (RRi = 1.06 [1.01–1.12]), ventilation (RRi = 1.27 [1.19–1.36]), and all-cause mortality (RRi = 1.34 [1.27–1.41]) compared to non-IC. Within 30-days post-discharge, IC had greater rates of all-cause readmission (RRa = 1.33 [1.26–1.40]), emergency departments admission (RRa = 1.13 [1.08–1.18]), home oxygen use (RRi = 1.35 [1.15–1.58]), and COVID-19-related rehabilitation (RRa = 1.52 [1.22–1.89]), resulting in 21% (16%–25%) and 51% (45%–58%) greater costs in hospital and post-discharge, respectively. All-cause mortality remained approximately 5% higher for IC vs. non-IC at 30- and 60-days post-discharge (<i>p</i> &lt; .001). Resource use remained elevated among IC with 57% (50%–64%) greater costs within 180 days post-discharge. Unmeasured confounding remains; hospital prescription data were not available such that treatments for COVID-19 were not captured. Attribution of post-discharge resource use and costs to COVID-19 was subject to greater uncertainty further from the index hospitalization. IC experienced more severe COVID-19 hospitalization outcomes compared to non-IC. COVID-mitigating policies and prophylactic treatments are needed to protect immunocompromised populations.
DOI: 10.6084/m9.figshare.29092007
title: Cost-of-illness of heart failure with preserved and reduced ejection fraction in the Philippines

description: Heart Failure (HF) poses a significant clinical and economic burden globally. Due to its progressive and chronic nature, HF requires both continuous medical management and acute care related to hospitalization. This study aimed to estimate the economic burden of HF in the Philippines, covering both outpatient care and inpatient management. The study utilized a bottom-up micro-costing approach to determine the economic burden of heart failure with mildly reduced ejection fraction (HFmrEF)/heart failure with preserved ejection fraction (HFpEF) and heart failure with reduced ejection fraction (HFrEF) across all NYHA classifications using a societal perspective. Price data were gathered from clinical experts, public and private hospitals, while quantity and probability assumptions were derived from published literature, subsequently validated through clinical expert consensus. In 2022, an estimated 914,892 individuals were diagnosed with HF in the Philippines, based on a prevalence rate of 0.82%. This equates to a total economic burden of PHP 80.9B (USD 1.5B). Direct costs accounted for 90% of the total burden at PHP 72.8B (USD 1.3B). Hospital and medication expenses represented 61% of the total cost-of-illness, amounting to PHP 49.2B (USD 887.6 M). HF management poses a significant burden-of-disease for Filipinos. The annual societal costs of HF management potentially expose Filipinos to catastrophic health spending and impoverishment, especially in a system where a substantial portion of healthcare expenses are paid out-of-pocket. These findings highlight the urgent need to prioritize preventive public health interventions and enhance financial risk protection for HF patients.
DOI: 10.6084/m9.figshare.29092007.v1
title: Cost-of-illness of heart failure with preserved and reduced ejection fraction in the Philippines

description: Heart Failure (HF) poses a significant clinical and economic burden globally. Due to its progressive and chronic nature, HF requires both continuous medical management and acute care related to hospitalization. This study aimed to estimate the economic burden of HF in the Philippines, covering both outpatient care and inpatient management. The study utilized a bottom-up micro-costing approach to determine the economic burden of heart failure with mildly reduced ejection fraction (HFmrEF)/heart failure with preserved ejection fraction (HFpEF) and heart failure with reduced ejection fraction (HFrEF) across all NYHA classifications using a societal perspective. Price data were gathered from clinical experts, public and private hospitals, while quantity and probability assumptions were derived from published literature, subsequently validated through clinical expert consensus. In 2022, an estimated 914,892 individuals were diagnosed with HF in the Philippines, based on a prevalence rate of 0.82%. This equates to a total economic burden of PHP 80.9B (USD 1.5B). Direct costs accounted for 90% of the total burden at PHP 72.8B (USD 1.3B). Hospital and medication expenses represented 61% of the total cost-of-illness, amounting to PHP 49.2B (USD 887.6 M). HF management poses a significant burden-of-disease for Filipinos. The annual societal costs of HF management potentially expose Filipinos to catastrophic health spending and impoverishment, especially in a system where a substantial portion of healthcare expenses are paid out-of-pocket. These findings highlight the urgent need to prioritize preventive public health interventions and enhance financial risk protection for HF patients.
DOI: 10.15468/dl.pe6gnt
title: Occurrence Download

description: A dataset containing 738 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (ARG, CHL, PRY, URY, FLK, BRA.21_1, BRA.16_1, BRA.24_1)",
 "TaxonKey is Vochysiaceae"
 ]
}

 The dataset includes 738 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003266-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.