cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/0a1eaca3d7873a2cbe5f1550e03db882
title: Canopy-Atmosphere Exchange of Carbon, Water and Energy at Harvard Forest EMS Tower since 1991

description: The tower-based CO2 measurements and key meteorological drivers are intended to examine how regional and ecosystem level processes in a mid-latitude forest contribute to global carbon cycling. Specifically, we endeavor to understand quantitatively how and why forested ecosystems take up or release carbon, on time scales from hours to decades, and to elucidate responses to climate changes and management interventions. The tower was installed 1989 and the resulting eddy-flux measurements constitute the longest running record of the net-ecosystem carbon exchange in a North American Forest. The resulting long-term record of Net Ecosystem Exchange (NEE) has shown the effects of climate anomalies on carbon fluxes for seasonal and annual time scales. For example, reduced soil frost allows greater respiration in the winter leading to lower C sequestration. Cumulative gross photosynthesis depends on when the canopy emerges in the spring. Warmer springtime temperatures lead to greater uptake of C. As the NEE record is extended and augmented by supporting ecological measurements, we can further identify longer-term effects of climate perturbations on carbon fluxes and further define the relationship between stand history and carbon sequestration. Climatic anomalies in one season or year may have a longer-term effect on the sequestration of carbon in subsequent seasons or years. The flux and ecological measurements are coordinated with studies at other sites through the AmeriFlux network. By examining the relationships between carbon fluxes and the driving physical and biological variables across a range of sites we are enhancing understanding of the processes that control NEE.
DOI: 10.6084/m9.figshare.28782383
title: Supplementary Material for: Intratumoral Holmium-166 Microsphere Injection in Patients with Unresectable Pancreatic Ductal Adenocarcinoma: a Single-Center, Single-Arm, Open-Label Feasibility and Safety Study

description: Introduction
Pancreatic ductal adenocarcinoma (PDAC) has a poor prognosis and lacks local treatment options. This study aimed to assess the feasibility and safety of the first-in-human intraoperative ultrasound-guided intratumoral injection of radioactive holmium-166 microsphere in patients with PDAC.
Methods
Patients with proven PDAC eligible for open surgical resection were included. If resection was abandoned during exploration, study intervention was performed. Feasibility was defined by injection success and on/off-target radiation. Safety was based on adverse event (AE) monitoring for 12 weeks categorized by severity grade and study attribution.
Results
Three of the thirteen included patients received study intervention. Injection was successful in all three patients. Mean tumor doses of 5.0, 17.0 and 39.0 Gy and maximum tumor doses of 25.0, 41.0 and 256.0 Gy were achieved. Off-target radiation was found once in the lungs and once in the colon with a mean dose &lt;1.0 Gy. There were no AEs with high study attribution, 16, 14 and 19 AEs with low study attribution, including 3, 2 and 4 AEs with grade ≥3. Holmium-166 microspheres appeared hyperdense on CT.
Conclusion
Intratumoral injection of holmium-166 microspheres in patients with unresectable PDAC seems feasible and safe. Research into minimally invasive image-guided application is advised.
DOI: 10.6084/m9.figshare.28788113
title: Supplementary Material for: Evaluation of Patients with Heart Failure with Reduced Ejection Fraction Treated with Bumetanide versus Torsemide

description: Introduction
Limited evidence guides clinicians regarding the agent selection between bumetanide and torsemide in patients with heart failure (HF). The present study aimed to compare the efficacy and safety profile of bumetanide and torsemide in patients with HF.

Methods
Patients aged &gt; 18 years with HF with reduced ejection fraction (HFrEF) receiving either bumetanide or torsemide were included from the TriNetX research network. Patients with end-stage renal disease were excluded from this study. The primary outcome was all-cause mortality, and secondary outcomes included all-cause hospitalization or emergency department visits, acute kidney injury, or hypokalemia over one- year follow-up period. 

Results
After propensity score matching, 16,277 patients in each group were included. The use of bumetanide was significantly associated with a higher risk of all-cause mortality (19.7 vs. 16.0 %; OR 1.28; 95% CI [1,21, 1.36]) compared to the torsemide group. The use of bumetanide was also significantly associated with higher risks of all-cause hospitalization or emergency department visits (53.3 vs. 48.3%; OR 1.22 95% CI [1.17, 1.28]), acute kidney injury (33.4 vs. 27.1 %; OR 1.35; 95% CI [1.29, 1.42]), and hypokalemia (16.6 vs. 13.7%; OR 1.21, 95% CI [1.17, 1.33]) compared to the torsemide group. 

Conclusion
The use of torsemide in patients with HFrEF is associated with lower risks of clinical outcomes than bumetanide. Further investigation of this association is warranted in clinical trials.
DOI: 10.6084/m9.figshare.28794368
title: Supplementary Material for: Comparison between old and new GFR estimating equations in children and adults with glomerular disease in the NEPTUNE study

description: Introduction: New equations developed in the US for estimating glomerular filtration rate (GFR) eliminated race for adults and widened the age range for children and young adults. The European Kidney Function Consortium (EKFC) equation was also validated and updated for a US adult population. The aftereffects of adopting these new equations on previous research results among patients with glomerular disease are unknown. This study compared eGFR using old and new estimating equations and their impacts on eGFR-based outcomes.

Methods: Longitudinal serum creatinine measurements from children and adults enrolled in the Nephrotic Syndrome Study Network (NEPTUNE) were used to calculate eGFR using old Bedside Schwartz and CKD-EPI 2009 equations, new U25 and race-free CKD-EPI 2021 equations, and the EKFC equation. Time to disease progression (40% eGFR decline or kidney failure) outcomes were compared using Kaplan-Meier curves and Cox models and longitudinal eGFR outcomes were compared using linear mixed effects models to assess effects of demographics, clinical characteristics, pathology descriptors, a serum and urine biomarker, and the APOL1 genetic trait.

Results: N=756 NEPTUNE study participants were included (median age 21 years, 41% female, and 25% who reported Black race). Disease progression outcomes were similar between using old vs. new age-specific equations, whereas event rates were lower using EKFC. Survival curves were largely overlapping, and selected risk factor effects on disease progression were similar. Only sex and race effects on longitudinal eGFR differed between old vs. new age-specific equations, whereas larger differences were observed for disease diagnosis effects when using EKFC.

Conclusion: New U25 and race-free CKD-EPI 2021 equations had little impact on estimated GFR values and results of survival and longitudinal regression analyses. EKFC results differed and was likely driven by those with very high eGFR.
DOI: 10.7303/syn3193805
title: Segmentation Outside the Cranial Vault Challenge
DOI: 10.15139/s3/x33niz
title: Bangladesh Maternal Mortality and Health Care Survey (BMMS) 2016

description: The major objectives of the 2016 Bangladesh Maternal Mortality and Health Care Survey (BMMS) were to provide a nationally representative estimate of the maternal mortality ratio (MMR) for three years preceding the survey (approximately 2014–2016), to identify the causes of maternal deaths, and to assess maternal health seeking behavior indicators and compare them with the BMMS 2010 to see how well the country is progressing toward national and global targets for maternal health since the 2010 survey. The survey was conducted in a nationally representative sample of 306,961 households. In each selected household, ever-married women ages 13 to 49 were interviewed and any deaths among women of reproductive age in the household were investigated using a verbal autopsy instrument, with particular attention to maternal and pregnancy-related deaths. Data collection was carried out over a period of six months from August 22, 2016 to February 10, 2017.
DOI: 10.15468/dl.yqcpks
title: Occurrence Download

description: A dataset containing 176 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Agave tequilana F.A.C.Weber"
 ]
}

 The dataset includes 176 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0181023-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/ch6ys3gz82.1
title: AIcon2abs Empirical Evaluation Data

description: Original data sources (Raw and processed ) from the pre-test/post-test questionaries of the article How do Machines learn. xlsx and pdf files are provided. Links for supplementary materials are also avaiable here.
DOI: 10.18112/openneuro.ds005216.v1.1.0
title: UltraCortex: Submillimeter Ultra-High Field 9.4T Brain MR Image Collection and Manual Cortical Segmentations
DOI: 10.21227/rwtj-dd43
title: LATAM-DDoS-IoT dataset

description: Intrusion Detection Systems based on Artificial Intelligence need robust data sources in order to achieve strong generalization levels from the knowledge domain of interest. Anomaly detection is a well-known topic in cybersecurity, and its application to the Internet of Things can lead to suitable protection techniques against problems such as DoS and DDoS attacks. Here we present the creation of a new dataset called LATAM-DDoS-IoT, result of a collaboration between Aligo, Universidad de Antioquia, and Tecnologico de Monterrey, that includes attack traffic to physical Internet of Things devices, and normal traffic from external real users consuming real services from Aligo's production network. These characteristics make our dataset be convenient for real production environments.
DOI: 10.24381/cds.67e8eeb7
title: ORAS5 global ocean reanalysis monthly data from 1958 to present
DOI: 10.25493/rf12-09n
title: CEREBRUM-7T: Fast and Fully-volumetric Brain Segmentation of 7 Tesla MR Volumes

description: Ultra-high field MRI enables sub-millimetre resolution imaging of human brain, allowing to disentangle complex functional circuits across different cortical depths. Segmentation, meant as the partition of MR brain images in multiple anatomical classes, is an essential step in many functional and structural neuroimaging studies. In this work, we design and test CEREBRUM-7T, an optimised end-to-end CNN architecture, that allows to segment a whole 7T T1w MRI brain volume at once, without the need of partitioning it into 2D or 3D tiles. Despite deep learning (DL) methods are recently starting to emerge in 3T literature, to the best of our knowledge, CEREBRUM-7T is the first example of DL architecture directly applied on 7T data. Training is performed in a weakly supervised fashion, since it exploits a ground-truth (GT) with errors. The generated model is able to produce accurate multi-structure segmentation masks on six different classes, in only few seconds. In the experimental part, we show that the proposed solution outperforms the GT it was trained on in segmentation accuracy. For more details, please visit: [https://rocknroll87q.github.io/cerebrum7t ](https://rocknroll87q.github.io/cerebrum7t )
DOI: 10.5067/ra1mijoypk3p
title: AMSR-E/AMSR2 Unified L3 Daily 12.5 km Brightness Temperatures, Sea Ice Concentration, Motion & Snow Depth Polar Grids, Version 1
DOI: 10.5281/zenodo.1322001
title: Automated Measurement Of Fetal Head Circumference

description: For more information about this dataset go to: https://hc18.grand-challenge.org/
DOI: 10.5281/zenodo.14925067
title: Data and code from: Re-assessing niche partitioning in MacArthur's Warblers: foraging behavior, morphology, and diet differentiation in a phylogenetic context

description: Due in large part to MacArthur’s classic 1958 paper, wood warblers in the family Parulidae are textbook exemplars of species competition and niche partitioning. The conventional wisdom suggests that subtle differences in foraging behavior are the principal means by which these nearly morphologically indistinguishable species are able to co-occur and avoid extinction. Yet, MacArthur’s study was in fact quite limited in scale, and he said little about the relevance of evolution to the study system. Here, we reassess MacArthur’s conclusions across an expanded set of syntopic warbler species in a forest in northern New York. We combine morphometrics, quantitative foraging data, and fecal metabarcoding—a direct measure of warbler diet—to study competition and niche partitioning in an evolutionary framework. We find close relationships between morphology and foraging behavior, but little connection between warbler ecomorphology and the 2,237 invertebrate taxa detected in their diets. Instead, diet remains phylogenetically conserved—closely related warblers eat similar suites of invertebrates, regardless of where they forage. Finally, we present evidence that these species not only partition niche space in the present day, but that competition has shaped their behaviors over evolutionary time. Here we provide the code and data associated with this project. Raw sequencing data can be accessed at the NCBI SRA under Bioproject PRJNA889412.
DOI: 10.5281/zenodo.2525665
title: Soil bulk density (fine earth) 10 x kg / m-cubic at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution

description: Soil bulk density (fine earth) 10 x kg / m<sup>3</sup> at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution. Processing steps are described in detail <strong>here</strong>. Antarctica is not included. To access and visualize maps use: OpenLandMap.org If you discover a bug, artifact or inconsistency in the maps, or if you have a question please use some of the following channels: Technical issues and questions about the code: https://gitlab.com/openlandmap/global-layers/issues General questions and comments: https://disqus.com/home/forums/landgis/ All files internally compressed using "COMPRESS=DEFLATE" creation option in GDAL. File naming convention: sol = theme: soil, bulkdens.fineearth = variable: soil bulk density, usda.4a1h = determination method: laboratory method code, m = mean value, 250m = spatial resolution / block support: 250 m, b10..10cm = vertical reference: 10 cm depth below surface, 1950..2017 = time reference: period 1950-2017, v0.2 = version number: 0.2,
description: {"references": ["Hengl, T., de Jesus, J.M., Heuvelink, G.B., Gonzalez, M.R., Kilibarda, M., Blagoti\u0107, A., Shangguan, W., Wright, M.N., Geng, X., Bauer-Marschallinger, B. and Guevara, M.A., (2017). SoilGrids250m: Global gridded soil information based on machine learning. PLoS one, 12(2), p.e0169748. https://doi.org/10.1371/journal.pone.0169748", "Sanderman, J., Hengl, T., Fiske, G., (2017). The soil carbon debt of 12,000 years of human land use. PNAS, https://dx.doi.org/10.1073/pnas.1706103114", "Hengl, T., MacMillan, R.A., (2019). Predictive Soil Mapping with R. OpenGeoHub foundation, Wageningen, the Netherlands, 370 pages, www.soilmapper.org, ISBN: 978-0-359-30635-0."]}
DOI: 10.5285/1c44ce99-0a0d-5f4f-e063-7086abc0ea0f
title: The GEBCO_2024 Grid - a continuous terrain model of the global oceans and land.

description: The GEBCO_2024 Grid is a global continuous terrain model for ocean and land with a spatial resolution of 15 arc seconds. In regions largely outside of the Arctic Ocean area, the grid uses as a base Version 2.6 of the SRTM15_plus data set (Tozer et al, 2019). This data set is a fusion of land topography with measured and estimated seafloor topography. Included on top of this base grid are gridded bathymetric data sets developed by the four Regional Centers of The Nippon Foundation-GEBCO Seabed 2030 Project. The GEBCO_2024 Grid represents all data within the 2024 compilation. The compilation of the GEBCO_2024 Grid was carried out at the Seabed 2030 Global Center, hosted at the National Oceanography Centre, UK, with the aim of producing a seamless global terrain model. Outside of Polar regions, the Regional Centers provide their data sets as sparse grids i.e. only grid cells that contain data are populated. These data sets were included on to the base using a ‘remove-restore’ blending procedure. This is a two-stage process of computing the difference between the new data and the base grid and then gridding the difference and adding the difference back to the existing base grid. The aim is to achieve a smooth transition between the new and base data sets with the minimum of perturbation of the existing base data set. The data sets supplied in the form of complete grids (primarily areas north of 60N and south of 50S) were included using feather blending techniques from GlobalMapper software. The GEBCO_2024 Grid has been developed through the Nippon Foundation-GEBCO Seabed 2030 Project. This is a collaborative project between the Nippon Foundation of Japan and the General Bathymetric Chart of the Oceans (GEBCO). It aims to bring together all available bathymetric data to produce the definitive map of the world ocean floor by 2030 and make it available to all. Funded by the Nippon Foundation, the four Seabed 2030 Regional Centers include the Southern Ocean - hosted at the Alfred Wegener Institute (AWI), Germany; Pacific Ocean - hosted at the National Institute of Water and Atmospheric Research (NIWA), New Zealand; Atlantic and Indian Oceans - hosted at the Lamont-Doherty Earth Observatory (LDEO), Columbia University, USA; Arctic and North Pacific Oceans - jointly hosted at Stockholm University, Sweden and the Center for Coastal and Ocean Mapping at the University of New Hampshire, USA.
DOI: 10.5291/ill-data.dir-195
title: Probing the phase boundaries of &#8220;Plastic-ice VII&#8221; phase
DOI: 10.6084/m9.figshare.27323229
title: Drivers of avian genomic change revealed by evolutionary rate decomposition

description: Files starting in crx include the ClockstaRX rates decomposition results for each data type (dN, dS, dNdS and intergenic data).

The alltrs.Rdata file contains all gene and species trees included in the study. Trees are also available in newick format.

The chroms_pc_pvals.Rdata file includes the p-values for permutation test across chromosomes.

All files are ready to be read in the open-source R computing environment using the function load.
DOI: 10.6084/m9.figshare.28789724
title: Supplementary Material for: Cushing’s syndrome due to a renal neuroendocrine tumor: Case Report

description: Introduction: Cushing’s Syndrome (CS) due to ectopic adrenocorticotrophic hormone (ACTH) is rare and usually due to neuroendocrine neoplasia (NEN). Primary renal NEN is exceptionally rare but may be a cause of rapidly progressive CS. 
Case presentation: A 51-year-old man presented with profound hypokalemia, cellulitis and new-onset type 2 diabetes and hypertension with a one-month of muscle weakness, labile mood, and insomnia. CS due to ectopic ACTH production was confirmed. Biochemical control was achieved using a ‘block and replace’ regimen with dual blockade with ketoconazole and metyrapone and hydrocortisone replacement in addition to mineralocorticoid receptor blockade using spironolactone. CT and ultrasound demonstrated a 24mm right renal lesion with features concerning for renal cell carcinoma. Right laparoscopic nephrectomy was performed. Histology demonstrated a WHO grade one NEN with ACTH staining. 
Conclusion: In CS where the source of ectopic ACTH production is unable to be identified, a renal source should be considered. Diagnosis may be difficult as there are no reliable radiological characteristics to distinguish renal NENs from renal cell carcinomas, so a high degree of suspicion is required.
DOI: 10.15468/dl.jjune6
title: Occurrence Download

description: A dataset containing 3259 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Agave tequilana F.A.C.Weber, Agave salmiana Otto ex Salm-Dyck, Agave fourcroydes Lem.)"
 ]
}

 The dataset includes 3259 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002917-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15485/1868939
title: Machine Learning Assisted Gap-Filled Discharge Data for the East River Community Watershed, Colorado, for Water Years 2014-2021

description: This dataset contains a collection of machine learning assisted gap-filled discharge data created for all discharge stations across the East River Watershed, Colorado. This data was generated by using raw discharge data collected by Rosemary Carroll, and conducting a random forest machine learning analysis to gap-fill discharge data across all years at the hourly time level. Discharge data with gaps creates problems for analysis of measured and modeled fluxes of carbon and nitrogen exported out of each sub-watershed. Gap-filled data is also required as an input to surface water models, which helps to address our main research question related to how snowmelt timing impacts the timing and magnitude of nitrogen exports. Data is provided in one csv file.
DOI: 10.17632/34m2p6v79t.1
title: PERTURBO: A software package for ab initio electron–phonon interactions, charge transport and ultrafast dynamics

description: Perturbo is a software package for first-principles calculations of charge transport and ultrafast carrier dynamics in materials. The current version focuses on electron–phonon interactions and can compute phonon-limited transport properties such as the conductivity, carrier mobility and Seebeck coefficient. It can also simulate the ultrafast nonequilibrium electron dynamics in the presence of electron–phonon scattering. Perturbo uses results from density functional theory and density functional perturbation theory calculations as input, and employs Wannier interpolation to reduce the computational cost. It supports norm-conserving and ultrasoft pseudopotentials, spin–orbit coupling, and polar electron–phonon interactions for bulk and 2D materials. Hybrid MPI plus OpenMP parallelization is implemented to enable efficient calculations on large systems (up to at least 50 atoms) using high-performance computing. Taken together, Perturbo provides efficient and broadly applicable ab initio tools to investigate electron–phonon interactions and carrier dynamics quantitatively in metals, semiconductors, insulators, and 2D materials.
DOI: 10.18112/openneuro.ds003059.v1.0.0
title: Neural correlates of the LSD experience revealed by multimodal neuroimaging
DOI: 10.23696/vdemds21
title: V-Dem Dataset 2021