cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28020491
title: Supplementary Material for: Evaluating the implementation of the rapid prenatal exome sequencing (pES) service in England

description: Introduction
In October 2020, a national rapid prenatal exome sequencing (pES) service was rolled out across the English National Health Service (NHS). This service is delivered by multiple clinical and two laboratory teams. Whilst there was high level national guidance to support implementation, it was unclear how the service has been delivered in practice. This study evaluated pES service implementation across England, using the Major System Change Framework to explore links between implementation approaches and outcomes. 

Methods
We conducted a national mixed-methods multi-site study of 17 clinical genomics services, their linked fetal medicine services and two laboratories delivering the pES service. The Major System Change Framework informed the study. Key documents, semi-structured interviews (eight national service developers, 55 staff), and surveys (n=159 staff) were analysed using inductive and deductive thematic analysis and descriptive statistics. Findings were integrated. 

Results
Implementation was influenced by a range of factors including evidence of benefit, laboratory service reconfiguration and stakeholder support. Local implementation approaches varied; seven models of service delivery were identified. Key differences between models included leadership, staffing and multidisciplinary team (MDT) approaches. Local staff factors (e.g. time, capacity, attitudes), pES service factors (e.g. communication/collaboration, logistics) and organisational factors (e.g. infrastructure and previous experience) influenced implementation. 

Conclusion
We have identified multiple barriers and facilitators that are associated with implementing a major change to genomic services in a complex national healthcare system. This study highlights which models of pES may work in practice and why. Findings will inform future development of the pES service.
DOI: 10.6084/m9.figshare.28022231
title: Supplementary Material for: Deep Learning-Based Detection of Malignant Bile Duct Stenosis in Fluoroscopy Images of Endoscopic Retrograde Cholangiopancreatography

description: Introduction: The accurate distinction between benign and malignant biliary strictures (BS) poses a significant challenge. Despite the use of bile duct biopsies and brush cytology via endoscopic retrograde cholangiopancreaticography (ERCP), the results remain suboptimal. Single-operator cholangioscopy can enhance the diagnostic yield in BS, but its limited availability and high costs are substantial barriers. Convolutional Neural Network (CNN)-based systems may improve the diagnostic process and enhance reproducibility. Therefore, we assessed the feasibility of using deep learning to differentiate BS using fluoroscopy images during ERCP.
Methods: We conducted a retrospective review of adult patients (n=251) from three university centers in Germany (Leipzig, Dresden, Halle) who underwent ERCP. We developed and evaluated a deep learning-based model using fluoroscopy images. The performance of the classifier was evaluated by measuring the area under the receiver operating characteristic curve (AUROC) and we utilized saliency map analyses to understand the decision-making process of the model.
Results: In cross-validation experiments, malignant BS were detected with a mean AUROC of 0.89 ± 0.03. The test set of the Leipzig cohort demonstrated an AUROC of 0.90. In two independent external validation cohorts (Dresden, Halle), the deep learning-based classifier achieved an AUROC of 0.72 and 0.76, respectively. The artificial intelligence model's predictions identified plausible characteristics within the fluoroscopy images.
Conclusion: By using a deep learning model, we were able to discriminate malignant BS from benign biliary conditions. The application of artificial intelligence enhances the diagnostic yield of malignant BS and should be validated in a prospective design.
DOI: 10.15468/k64rgi
title: The Himalayan Uplands Plant database (HUP Version 1)

description: This unique and huge data set contains plant information for the Himalaya Uplands; it consists of 164,360 records. This database is implemented in MS ACCESS following ABCD 1.2. It describes Asian plant species related to the Tibetan Plateau, Central Asia. Data have been collected for over 50 years, and in over 11 countries (e.g. Afghanistan, Pakistan, Bhutan, China,India, Kazakhstan, Kyrgyztan, Myanmar, Nepal, Russia, Tajikistan, Turkmenistan, Uzbekistan), covering over 220 national regions. Taxonomic information for this region is diverse and not well studied. However, the database follows ICBN taxonomy matched with ITIS and consists of over 5,562 unique species entries. From these, ITIS has 996 species listed. Over 2,200 collectors from all over the world contributed to this dataset, which mostly was compiled and maintained by the author for over 20 years. This database covers 21,869 localities. virtually all sites are georeferenced with latitude and longitude (2 decimals; geographic datum of WGS84), and 6,668 of such unique locations are found in the HUP database. This dataset has altitude information provided by the fieldworker.
DOI: 10.15485/1576995
title: WHONDRS 48 Hour Diel Cycling Study at the Nisqually River, WA

description: This dataset is from a sampling campaign completed over the course of 48 hours to investigate the effects of glacial freeze/thaw cycle-induced water level variation on aqueous chemistry, dissolved organic matter chemistry, and metabolic potential of microbial communities at the Nisqually River, WA, USA. Filtered surface water (SW) and pore water (PP) samples were collected every three hours in August 2018. This dataset is one of seven companion datasets that were part of the WHONDRS 48 Hour Diel Cycling Study of freshwater rivers. All seven datasets are available on ESS-DIVE; they can be found by searching for WHONDRS 48 Hour.This package contains a variety of chemical and hydrologic variables. All data types are provided in a standard format. Basic geochemistry analyses (e.g., non-purgeable organic carbon concentration, cations, anions, SpC, pH) were conducted, standardized photos were taken, surface water hydrographs were collated from existing instrumentation, and extensive metadata were captured. Aqueous chemistry variables include USGS codes in the first portion of the variable name (e.g., 00940_Cl_mg_per_L). These codes allow for interoperability with USGS water quality data. In addition, samples were delivered to the Environmental Molecular Sciences Laboratory (EMSL; https://www.pnnl.gov/environmental-molecular-sciences-laboratory) for high resolution characterization of dissolved organic matter via 12 Tesla Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS). The data package contains instructions to process the FTICR data based on the user’s specific needs, and sample-level summary indices derived from the FTICR data will be added to the data package. Beyond the data in this data package, metagenomic data are being generated on associated microbial communities. When these data are available, the data package will be updated with information on accessing them. Please contact WHONDRS@pnnl.gov for more information. Please use the data package’s DOI to cite the data package. We ask that you email us at WHONDRS@pnnl.gov to let us know that you're using the data and acknowledge WHONDRS and the U.S. Department of Energy's Subsurface Biogeochemical Research program—which generously provides funding to WHONDRS—in your publications, proposals, presentations, etc. All data are free to be used for any purpose, such as for manuscripts, presentations, and grant proposals. Note that the included hydrograph has a separate DOI that should also be cited. There is no obligation to include WHONDRS members as co-authors.
DOI: 10.15485/1577260
title: WHONDRS 48 Hour Diel Cycling Study at the Erpe River, Germany

description: This dataset is from a sampling campaign completed over the course of 48 hours to investigate the effects of wastewater treatment plant effluent induced water level variation on aqueous chemistry, dissolved organic matter chemistry, and metabolic potential of microbial communities at the Erpe River, Germany. Filtered surface water (SW) and pore water (PP) samples were collected every three hours in September 2018. This dataset is one of seven companion datasets that were part of the WHONDRS 48 Hour Diel Cycling Study of freshwater rivers. All seven datasets are available on ESS-DIVE; they can be found by searching for WHONDRS 48 Hour.This package contains a variety of chemical and hydrologic variables. All data types are provided in a standard format. Basic geochemistry analyses (e.g., non-purgeable organic carbon concentration, cations, anions, SpC, pH) were conducted, standardized photos were taken, surface water hydrographs were collated from existing instrumentation, and extensive metadata were captured. Aqueous chemistry variables include USGS codes in the first portion of the variable name (e.g., 00940_Cl_mg_per_L). These codes allow for interoperability with USGS water quality data. In addition, samples were delivered to the Environmental Molecular Sciences Laboratory (EMSL; https://www.pnnl.gov/environmental-molecular-sciences-laboratory) for high resolution characterization of dissolved organic matter via 12 Tesla Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS). The data package contains instructions to process the FTICR data based on the user’s specific needs, and sample-level summary indices derived from the FTICR data will be added to the data package. Beyond the data in this data package, metagenomic data are being generated on associated microbial communities. When these data are available, the data package will be updated with information on accessing them. Please contact WHONDRS@pnnl.gov for more information. Please use the data package’s DOI to cite the data package. We ask that you email us at WHONDRS@pnnl.gov to let us know that you're using the data and acknowledge WHONDRS and the U.S. Department of Energy's Subsurface Biogeochemical Research program—which generously provides funding to WHONDRS—in your publications, proposals, presentations, etc. All data are free to be used for any purpose, such as for manuscripts, presentations, and grant proposals. There is no obligation to include WHONDRS members as co-authors.
DOI: 10.17632/74sfv9kx9n.1
title: Data for "Household Mobility and Mortgage Rate Lock"

description: Replication package for Household Mobility and Mortgage Rate Lock, forthcoming in the Journal of Financial Economics.
DOI: 10.17632/vmg3s67568.4
title: Data for ERA5 radiative kernels

description: This dataset provides multi-year averaged monthly mean radiative kernels based on ERA5 reanalysis dataset. For more instructions on how to use it, please refer to instructions.txt below.
Files in other_kernel directory are other kernels used in the article interpolated to the same resolution of ERA5 kernels

Please refer to the article,
Huang, H. and Huang, Y.: Radiative sensitivity quantified by a new set of radiation flux kernels based on the ERA5 reanalysis, Earth Syst. Sci. Data.
DOI: 10.23729/38892b63-c85b-48ff-9ff7-9d3ec423b7e1
title: JYFL-ACCLAB-JM22: Towards understanding of isospin-breaking effects in isobaric multiplets: In-beam recoil-beta tagging study of 66Se and 66As
title: JYFL-ACCLAB-JM22: Kohti isospin symmetriaa rikkovien vuorovaikutusten ymmärrystä: 66Se ja 66As ydinten rekyyli-betamerkkaustutkimus

description: These data are aimed to extract the energy differences between the excited T=1 states in the A=66 isobaric multiplet in order to allow investigations of isospin symmetry breaking and other subtle nuclear structure effects. In particular, the nuclei under study were the Tz=-1 nucleus 66Se and Tz=0 nucleus 66As. These nuclei were produced using the 28Si+40Ca fusion-evaporation reaction and identified using the recoil-beta tagging method. This dataset was collected over 7 days of beam time.
DOI: 10.24381/cds.9d44a987
title: CMIP5 monthly data on single levels
DOI: 10.5065/d6f47mt6
title: CAM5 Radiative Kernels

description: CESM 1.1.1 Radiative kernels
Angeline G Pendergrass (apgrass@ucar.edu)
June 2017

For more scripts and to check for updates, visit
https://github.com/apendergrass/cam5-kernels
DOI: 10.5281/zenodo.10210416
title: blood_on_snow_data
DOI: 10.5281/zenodo.13270554
title: A Factor Two Difference in 21st-Century Greenland Ice Sheet Surface Mass Balance Projections from Three Regional Climate Models for a Strong Warming Scenario (SSP5-8.5)

description: 1km regridded Greenland Ice Sheet SMB / Runoff / Melt projection until 2100. Projections from MAR, RACMO, HIRHAM forced by CESM2 (SSP5-8.5).
DOI: 10.5281/zenodo.13749309
title: Women's Empowerment through Investing in Zanzibari Craftswomen's Eyesight

description: This non-controlled, mixed-method, before-after, intervention study included 209 craftswomen at baseline and 157 craftswomen 40 years and older at follow-up with correctable presbyopia. The women were corrected with glasses and followed up for six months (April 0222 - October 2022). A questionnaire was administer before and 6 months after they were provided with glasses.



Demographic profile data includes age group, education , craft type, years of experience, marital status, number of children, number of dependents, and possesion of mobile phone.

Eye health data include presenting distance vision at 6/12, right eye and left eye, cause vision worse than 6/12 in either eye and better eye, eye health examination for right eye and left eye and reason if fail examination, glasses prescription distance for right and left eye, corrected vision right eye and left eye, presenting near vision at N8 at 40cm, presenting near vision at N8 at working distance, possession of a pair of glasses, final near presentation and corrected near vision.

Outcomes of interests are women's empowerment, subjective wellbeing, earning, saving, and spending, self-reported work performance, quality of life and visual analog scale.
DOI: 10.5281/zenodo.13910652
title: GLOBMAP FTC China: an annual fractional tree cover dataset in China from 2000 to 2022

description: We generated an annual fractional tree cover dataset (GLOBMAP) in China from 2000 to 2022 with a resolution of 250 m using the MODIS land surface reflectance products. The dataset is generated using a feedforward neural network. A total of 2000 samples are automatically extracted from the very high spatial resolution imagery on Google Earth through an auto-segmentation algorithm to calibrate and validate the model, with 80% for training and the remaining 20% for validation. Seven highly discriminative input features are extracted from the annual series of MODIS data, including values in the red (B01) and short wavelength infra-red 2.1 (SWIR 2.1: B07) bands for three key time phases, which are the day of year (DOY) of the maximum NDVI during the starting month (near 136~167), the medium month (near 197~228) and the ending month (near 259~289) of the growing season, and the yearly minimum NDVI. The root mean square error (RMSE) and Mean Absolute Error (MAE) of the dataset are 11.78% and 7.39%, respectively.

 

The dataset provides fractional tree cover maps in China from 2000 to 2022. The data are projected by WGS 1984 and are stored with GeoTIFF format. The files are designated with the naming structure “GLOBMAP_YYYY_TreeCover_China.tif”, where “YYYY” represents the year of the data. The valid range of tree cover value is 0-100, with a scale factor of 1.0 and the unit of percentage (%).
DOI: 10.6084/m9.figshare.25217873.v4
title: (Mg,Fe)CO<sub>3</sub>_Electricalconductivity_dataset_V1.xlsx

description: Electrical conductivity of FeCO<sub>3</sub>, Fe<sub>0.65</sub>Mg<sub>0.35</sub>CO<sub>3</sub>, and FeCO<sub>3</sub> +Fe<sub>3</sub>O<sub>4</sub> ± C at 126-2000 K and 0-83 GPa
DOI: 10.6084/m9.figshare.26048188
title: Distribution Characteristics and Dynamics of Marine Hydrogen in the Eastern Indian Ocean

description: Date for Distribution Characteristics and Dynamics of Marine Hydrogen in the Eastern Indian Ocean
DOI: 10.6084/m9.figshare.27612465
title: Supplementary Material for: Bypass of Coronary Artery in Renal Artery Stenosis Patients with HEart Chronic Total Occlusion might explain the 5-year Follow-up after Percutaneous Coronary Intervention：B-RASHEF Study

description: Introduction: Renal artery stenosis (RAS) is associated with poor outcome in patients with ischemic heart disease. In this study, we investigated development of coronary collateral in RAS patients and possible association of RAS with 5-year outcome after CTO PCI.
Methods: Consecutive 58 patients with CTO PCI were enrolled prospectively, including 21 RAS patients (15 unilateral RAS and 6 bilateral RAS) and 37 non-RAS patients. RAS was diagnosed by renal duplex. Coronary collaterals were appraised by CC classification and Rentrop classification. 
Results: Development of LAD coronary collateral by Rentrop classification was significantly worse in RAS patients than non-RAS patients. Kaplan-Meier curve of survival was significantly worse in RAS patients than non-RAS patients (p=0.027). By univariate COX proportional hazard regression analysis, collateral development by CC classification is a significant predictor for 5-year survival. When age, RAS, and collateral development by CC classification were included in multivariate COX proportional hazard regression analysis, only age (Hazard Ratio: 1.349; 95% confidential interval: 1.058-1.720; p=0.016) and RAS (Hazard Ratio: 6.680; 95% confidential interval: 1.322-33.747; p=0.022) were significant predictors for 5-year survival. 
Discussion/Conclusion: We concluded that survival in RAS patients after CTO PCI is significantly worse than non-RAS patients, and RAS is a significant predictor for survival after CTO PCI. It seems that injured collateral development might partly explain increased all cause death in RAS patients.
DOI: 10.6084/m9.figshare.28022393
title: Supplementary Material for: Intraperitoneal bleeding induced by a ruptured inferior epigastric artery pseudoaneurysm following interval debulking surgery for ovarian cancer: A Case Report

description: Introduction: Pseudoaneurysm following gynecologic cancer surgery is a rare complication that can become fatal when it ruptures. Common sites of pseudoaneurysms are the external iliac artery, hypogastric artery, and aorta, which are located around the lymphadenectomy site. There are no previous reports of ruptured inferior epigastric (IEA) artery pseudoaneurysms after gynecologic cancer surgery. We report a case of intraperitoneal bleeding induced by a ruptured IEA pseudoaneurysm following interval debulking surgery for stage IVB ovarian cancer. 
Case presentation: The patient underwent total abdominal simple hysterectomy, bilateral salpingo-oophorectomy, omentectomy, ileocolic resection, and peritonectomy around the ileocecal area after five cycles of neoadjuvant chemotherapy. The patient suddenly presented with loss of consciousness and reduced blood pressure on postoperative day 20. Her blood hemoglobin levels also decreased. Contrast-enhanced computed tomography revealed a pseudoaneurysm in the right IEA. There were no signs of extravasation from the pseudoaneurysm; however, bloody ascites was observed in the abdominal cavity. A ruptured IEA pseudoaneurysm was suspected, and coil embolization was immediately performed. Her symptoms abated soon after coil embolization, and she remained symptom-free during the 8 months of postoperative follow-up. 
Conclusion: Awareness of this rare complication is clinically important for its early detection and treatment.
DOI: 10.7289/v55t3hh0
title: NOAA Climate Data Record (CDR) of Ocean Near Surface Atmospheric Properties, Version 2

description: The NOAA Ocean Surface Bundle (OSB) Climate Data Record (CDR) consist of three parts: sea surface temperature; near-surface wind speed, air temperature, and specific humidity; sensible and latent heat fluxes. This portion of the OSB CDR is the NOAA Climate Data Record (CDR) of Ocean Near Surface Atmospheric Properties. Evaluation the near-surface atmospheric temperature, humidity, and wind in comparison to similar values at the sea surface describe essential aspects of the air-sea exchange. The Special Sensor Microwave/Imager (SSM/I), a passive microwave sensor, along with the sea surface temperature CDR provide this data after application of a combination of statistical techniques using neural networks and diurnal warming parameterizations. From these data, the near-surface fluxes of evaporation/latent heat and sensible heat calculations provide the CDR final record on a 3-hourly 0.25 degree resolution grid over the global ice-free oceans.
DOI: 10.15468/dl.mbq5vn
title: Occurrence Download

description: A dataset containing 1120 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Chanodichthys Bleeker, 1860, Channa asiatica (Linnaeus, 1758), Clarias fuscus (Lacepède, 1803), Elopichthys bambusa (Richardson, 1845), Glyptothorax fukiensis (Rendahl, 1925), Hemibagrus macropterus Bleeker, 1870, Hemibarbus labeo (Pallas, 1776), Hemiculter bleekeri Warpachowski, 1888, Hemiculter leucisculus (Basilewsky, 1855), Hypophthalmichthys molitrix (Valenciennes, 1844), Leiocassis crassilabris Günther, 1864, Macropodus opercularis (Linnaeus, 1758), Macropodus chinensis (Bloch, 1790), Microphysogobio fukiensis (Nichols, 1926), Ochetobius elongatus (Kner, 1867), Opsariichthys bidens Günther, 1873, Pseudobagrus albomarginatus (Rendahl, 1928), Pseudobagrus pratti (Günther, 1892), Pseudorasbora parva (Temminck & Schlegel, 1846), Rhinogobius brunneus (Temminck & Schlegel, 1845), Rhinogobius cliffordpopei (Nichols, 1925), Rhinogobius giurinus (Rutter, 1897), Sinibrama macrops (Günther, 1868), Siniperca obscura Nichols, 1930, Siniperca roulei Wu, 1930, Siniperca undulata Fang & Chong, 1932, Squalidus argentatus (Sauvage & Dabry de Thiersant, 1874), Toxabramis swinhonis Günther, 1873, Triplophysa stoliczkai (Steindachner, 1866), Zacco platypus (Temminck & Schlegel, 1846))",
 "Year 1980-2023"
 ]
}

 The dataset includes 1120 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034218-241126133413365/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.28024043
title: Akeren, Özgöl, Yayla, 2024 (self-regulation, happiness, resilience, problem solving, self-efficacy, adjusment, psycholgical help need

description: In this study, the mediators of happiness, resilience, problem solving, self-efficacy and adjustment in the effect of adolescents' self-regulation skills on their need for psychological help were examined.
DOI: 10.15468/dl.xdwkq7
title: Occurrence Download

description: A dataset containing 94281 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Vertical and horizontal environmental DNA (eDNA) patterns of fish in a shallow and well-mixed North Sea area"
 ]
}

 The dataset includes 94281 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034219-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nq2aa4
title: Occurrence Download

description: A dataset containing 4655 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chengiopanax sciadophylloides (Franch. & Sav.) C.B.Shang & J.Y.Huang"
 ]
}

 The dataset includes 4655 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034220-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.