cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.2008689.v9
title: Comparing FTTP and FTTN costs for NBN Australia

description: These models (xls, Numbers for Mac OS X, csv) compare the Capital costs (CAPEX), Operating costs (OPEX) and revenue generated for a single household. The aim primarily is to compare the upfront and continuing costs and revenues of a household connected to FTTN (Fibre to the Node) and FTTP (Fibre to the Premises). Original analysis in OSX Numbers (one page), translated into XLS (multi-page), CSV (multi-file). <br>Variables include: (1) CAPEX, (2) annual OPEX, (3) annual revenue, (4) Life of asset.The model also compares FTTP not starting until (5) Year X, where X is supplied by the user. The model also allows (in Numbers) to set yearly period of output e.g. annual, each decade, half-decade etc.<br>V2 Now updated with discounted cash flow and discounted GDP impact in DCF files. 08.01.16<br>V3 Now updated with GDP boost (externality 1%, 2% variable) in DCF_Externality files. 25.01.16.<br>V4 Now included graphical heat map showing assumptions favouring FTTN or FTTP. Blog post 6 describes further. Javascript, in html file added within.<br>V5 Updated model to include Delta FTTP/FTTN calc as used in Heatmap.<br>V6 Added heat map image, so shows up in preview.V7 Add image of raw data; from Optus HFC Overbuild doc.Original source (Delimiter): see link below.V9 Add Numbers, Xls of FTTN replacement cost, discounted from Yr 10, 20, with various labour inflation rates (0,2,3,5%) [FTTNreplacecostwithFTTP]<br><br>The model calculates breakeven; based on CAPEX, OPEX and Revenue. The model calculates yearly Cash balance (net costs and revenues), profit (adding depreciation and subtracting CAPEX), and GDP impact i.e. Revenue, plus costs, plus profit/loss of NBN Operator.<br><br>Current issues with model:- life span of FTTN (est = 10 years; FTTP set conservatively to 25 years)- current Revenue and OPEX figures are assumed annual with no changes over time- FTTN figures after ten years, especially for revenue are not likely to be stable- customer satisfaction for FTTN likely to decline as relative speed compared to FTTP declines, not accounted for- does not account for HFC<br><br>Further description in blog post attached.NBN is the National Broadband Network, a 2007 project to connect all Australians to faster broadband. The 2009 ALP Government proposed connecting 93% to FTTP, while the 2013 Liberal National Coalition proposed connecting 25% of household to FTTN, 25% to FTTP and 40% to HFC. Remainder is wireless and satellite like the ALP proposal. The NBN is expected to complete in 2020 under the Coalition and 2025 under ALP proposals.<br>Discussion published at: Ferrers, R. (2016). The NBN Brownfields Debate: valuing FTTN and FTTP. Journal of Telecommunications and Digital Economy, 4, 2, 31-65. (link below).<br><br>
DOI: 10.6084/m9.figshare.3510445.v1
title: Appendix D. Comparison of the ability of three different metrics of even trait spacing to distinguish between alternative models of community assembly.

description: Comparison of the ability of three different metrics of even trait spacing to distinguish between alternative models of community assembly.
DOI: 10.6084/m9.figshare.688050.v1
title: Estimating human cases of avian influenza A(H7N9) from poultry exposure

description: Data accompany a manuscript in PLoS Currents Outbreaks (see link below). All files ending in .csv are single sheets of data (described in the README). CombinedH7N9.xlsx is these sheets combined into a single Excel file. The README contains thorough data descriptions. Please refer to it for any questions you may have. It is available as both a pdf and as a sheet in the CombinedH7N9.xlsx file. See also an up to date line listing here: http://figshare.com/articles/H7N9_Line_Listing/689887 <strong>Abstract:</strong> In March 2013 an outbreak of avian influenza A(H7N9) was first recognized in China. To date there have been 130 cases in human, almost half of which are in men over the age of 55.The influenza strain is a novel subtype not seen before in humans; little is known about zoonotic transmission of the virus, but it is hypothesized that contact with poultry in live bird markets may be a source of exposure. The purpose of this study is to estimate the transmissibility of the virus from poultry to humans by estimating the amount of time shoppers, farmers, and live bird market retailers spend exposed to poultry each day. Results suggest that risk among older men is not due to greater exposure time at live bird markets.
DOI: 10.17632/fpdwmm7nrb
title: Soil Moisture, Air temperature, humidity, and Motor on/off Monitoring data

description: Automated irrigation systems are emerging methods for irrigation crops with the required amount of water, which conserves water wastage and avoids overirrigating crops. To train the automated irrigation method, we require the data set for better decision-making and controlling the irrigation system. The data set is collected from various sensors, for example, Capacitive soil moisture sensors and DHT-11 sensors. These data sets can be used to analyze and make decisions about controlling the automated irrigation system. Soil moisture, air temperature, and humidity are measured, and based on the soil moisture, the water motor's on/off status can be controlled.
DOI: 10.17632/fxdgzctpfj
title: Code and data used in the paper: Changing Educational Homogamy: Shifting preferences or evolving educational distribution?

description: Naszodi and Mendonca (2022) studies educational homogamy in the US and four European countries (France, Hungary, Portugal, Romania). The authors apply two methods for identifying the directly unobservable shifts in marital preferences from one generation to another. Both methods identify changes in preferences through their effects on the share of educationally homogamous couples with a counterfactual decomposition. 

The first method was developed by Naszodi and Mendonca (2021). It uses only aggregate census data on the equilibrium matching outcome. It is implemented in R, Excel and Visual Basic and can be downloaded from doi:10.17632/x2ry7bcm95.2  (currently available in version 2). The aggregate census data used in the benchmark analysis of the paper by Naszodi and Mendonca (2022) can be downloaded from this site (see: Changing Educational Preferences - ContingencyTables.xls). These data are aggregate census data from IPUMS on the joint educational distributions of young male and female partners/spouses in the studied five countries covering two census waves.    

The second method was developed in Naszodi and Mendonca (2022) and implemented in R. This method uses dating data. First, it estimates the education level-specific distributions of the reservation points of the marriageable young women and men in the population from data on the distributions of the search criteria (on the education level of the preferred partners) of a sample of dating site users. Then, the method uses the estimated reservation points distributions together with the aggregate Gale-Shapley algorithm and the census data on the joint educational distributions to construct various counterfactuals for the decompositions. 

The uploaded files allow one to replicate the calculations in the paper by Naszodi and Mendonca (2022)  using the reservation points-based second method. Also, it allows one to apply this method in other empirical settings as well. 

References:
Naszodi, A. and Mendonca, F. (2021) "A new method for identifying the role of marital preferences at shaping marriage patterns." Journal of Demographic Economics, 1-27. doi: https://doi.org/10.1017/dem.2021.1
Naszodi A, Mendonca F (2022). Changing educational homogamy: shifting preferences or evolving educational distribution? Journal of Demographic Economics 1–31. https://doi.org/10.1017/ dem.2022.21
DOI: 10.6084/m9.figshare.17295215.v1
title: PacBio raw data

description: Raw data for methylation motif detection of DISARM class 1 system of Serratia sp. SCBI
DOI: 10.6084/m9.figshare.20042345.v2
title: Genotypes of animals from experimental herds at Leales (Argentina)

description: Twenty five animals from the Argentinean Creole herd at the Leales Station (Argenyina) that had been genotyped with the Axiom Bos 1 or ArBos1 arrays (640K and 50K, respectively) of Affymetrix and and matched with IMAGE 10k. Total: 7459 snps
DOI: 10.6084/m9.figshare.22344280.v1
title: LBNL FDD PFPU Data Sets

description: The DOE and Berkeley Lab have partnered across the national laboratory complex and with the research community to curate, validate, and publish the world’s largest set of labeled time-series data representing commercial HVAC systems operating in faulted and fault-free states. The data sets currently cover rooftop units, single-duct air handler units, dual-duct air handler units, variable air volume boxes, fan coil units, chiller plant, and boiler plant. Each data set includes from 20 to more than 100 data points that are commonly monitored in today’s buildings. This operational data is paired with ground truth information indicating which faults are present during which time periods.
DOI: 10.6084/m9.figshare.22730084.v1
title: Agastache_rugosa_genome.zip

description: Files for the genome sequence, annotated information, and functional annotation of Agastache rugosa
DOI: 10.6084/m9.figshare.25376101.v1
title: <b>Phylogeny, diversification and biogeography of </b><b><i>Garra</i></b><b> (Cypriniformes: Cyprinidae) reveals </b><b>multiple cross-drainage</b><b> dispersals in Southeast Asia</b>

description: This is the original sequence data used for study titled "<b>Phylogeny, diversification and biogeography of </b><b><i>Garra</i></b><b> (Cypriniformes: Cyprinidae) reveals </b><b>multiple cross-drainage</b><b> dispersals in Southeast Asia</b>"
DOI: 10.6084/m9.figshare.28072340.v2
title: Fluorescein

description: FLIM of Fluorescein.
DOI: 10.6084/m9.figshare.6953240.v1
title: Supplemental Tables- A pre-pregnancy biomarker risk score improves prediction of future gestational diabetes

description: Supplemental tables to accompany "A pre-pregnancy biomarker risk score improves prediction of future gestational diabetes" <br>Contents:Supplemental Table 1. Mutually adjusted associations of biomarkers assessed at the preconception examination with GDM among women with fasting samplesSupplemental Table 2. Associations of the preconception biomarker score with gestational diabetes among women with fasting samplesSupplemental Table 3. AUC for predictive value for gestational diabetes risk among women with fasting samples<br><br>
DOI: 10.17632/m6mwm2f497
title: Trafficking Table

description: Supplemental Table 1. Principles of Trauma-Informed Care and Application to Suspected Trafficking
DOI: 10.17632/yw4jhs5n9d
title: Evolution of echocardiographic abnormalities identified in previosly healthy individuals recovering from COVID-19

description: As the infection with the SARs-CoV-2 virus has evolved into the most significant pandemic of the last centuries, representing a huge burden for the Health Systems worldwide, over 250 million people became infected and more than 5 million died.
Since COVID-19 is a relatively recent illness, the course of CV complications is still unclear. It is speculated that most of them recover sooner or later after the acute illness, but exact date is lacking so that further studies are needed to clarify this aspect.
DOI: 10.6084/m9.figshare.153827.v15
title: GenoCAD Tutorials

description: This tutorial includes two PowerPoint presentations developed by Mary Mangan from OpenHelix. Students should start with the Introduction prior to moving on to the Advanced tutorial. The slides decks include numerous comments that will help students go through the tutorials. In order to perform the hands on activities students need to download the GenoCAD Training Set. This dataset includes a list of parts and a grammar used as part of the GenoCAD Introductory tutorial. In order to import this data set in GenoCAD, proceed as follows: 1- Log into GenoCAD, create an account if you don't already have one. 2- Click on the Parts tab. 3- Click on the Grammars tab. 4- Click on the Add/Import Grammar button. 5- Using the "choose file" button, select the grammar file (.genocad) and click on import grammar. 6- Click on "use existing icon set" and click on "continue import". Upon completion of this procedure you should have a new grammar with a library of 37 parts in your workspace. The tutorial also includes a series of additional exercises that will be used to reinforce the concepts introduced in the tutorial. Please visit the GenoCAD page for videos of the tutotials.
DOI: 10.6084/m9.figshare.26197340.v1
title: Minimal Geolife dataset

description: This GPS trajectory dataset was collected in (Microsoft Research Asia) Geolife project by 182 users in a period of over five years (from April 2007 to August 2012). A GPS trajectory of this dataset is represented by a sequence of time-stamped points, each of which contains the information of latitude, longitude and altitude. This dataset contains 17,621 trajectories with a total distance of 1,292,951kilometers and a total duration of 50,176 hours. These trajectories were recorded by different GPS loggers and GPS-phones, and have a variety of sampling rates. 91.5 percent of the trajectories are logged in a dense representation, e.g. every 1~5seconds or every 5~10 meters per point.This project uploads part of the Geolife dataset. Papers using this data include the following：[1] Yu Zheng, Lizhu Zhang, Xing Xie. Mining interesting locations and travel sequences from GPS trajectories. In Proceedings of International conference on World Wild Web (2009), Madrid Spain. ACM Press: 791-800[2] Yu Zheng, Quannan Li, Yukun Chen, Xing Xie. Understanding Mobility Based on GPS Data. In Proceedings of ACM conference on Ubiquitous Computing (UbiComp 2008), Seoul, Korea. ACM Press: 2008:312-321.[3] Yu Zheng, Xing Xie, Wei Ying Ma, GeoLife: A Collaborative Social Networking Service among User, location and trajectory. Invited paper, in IEEE Data Engineering Bulletin. 2010,2(33): 32-40.<br><br>
DOI: 10.6084/m9.figshare.28660400.v1
title: Data for a static surge pricing model for slot-based on demand services.

description: A static surge pricing model for slot-based on-demand service platforms. This contains all the datasets pertaining to the numerical tests for this model.
DOI: 10.6084/m9.figshare.28874549.v1
title: Fire images dataset

description: Fire image dataset, labeled and unlabeled, to train and test the YOLO neural network.
DOI: 10.17632/4hm7n3b5d9
title: Improved Survival in Women versus Men with Merkel Cell Carcinoma

description: Studies have observed that women have better outcomes than men in melanoma, but less is known about the role of sex differences in outcomes for other aggressive cutaneous malignancies. We hypothesized that similar sex differences may be observed in Merkel cell carcinoma. In this study, including over 4,100 patients with Merkel cell carcinoma undergoing definitive surgical resection in the National Cancer Data Base between 2004 and 2014, we report that women had a consistent survival advantage in comparison to men after adjusting for other covariates in multivariate Cox regression and propensity score matched cohorts. Improved outcomes were observed in women across virtually all subgroups of patients. In this same study, we validated the initial results by using the SEER database. Importantly, we observed the improved survival in women was completely attributable to increased cancer-specific mortality, whereas there was no difference in other-cause mortality.
DOI: 10.6084/m9.figshare.16915357.v1
title: Phenotype-environment mismatch errors enhance lifetime fitness in wild red squirrels

description: Included in this repository are three (3) dataset .csv files. The first is the main dataset for all females included in the study (emt_data_pub.csv). The second is the main dataset for all offspring/pups born to the females from Dataset 1 included in the study (emt_offspring_dataset.csv). The third is a subset of the first dataset including only females for who we had total cache size estimates for (cache_size_pub.csv). Please see the Materials and Methods section of the supplementary material for this manuscript for detail on statistical methods and variable descriptions. Additionally included in this repository is a single R script (emt_code.R) containing the necessary code and calls to the relevant tables in order to generate the data presented in the manuscript.
DOI: 10.6084/m9.figshare.22580473.v8
title: Global Urban Network SVI Data

description: This data set contains street view segmentation indices for 50 global cities. We employ Meta's Mask2Former approach (Cheng, 2022) for image segmentation. 
<br>
We obtain SVI from Mapillary which is the world's largest platform for free and open street view imagery (SVI). Till date, Mapillary's coverage has penetrated most global cities around the world.
Compared to other proprietary options such as Google Street View, Mapillary images are hosted on a CC-BY-SA 4.0 licence, which allows users to freely share, use, and adapt images.
<br>
Images are subsampled proportionately based on geographic tiling of each city's administrative boundary and filtered to remove non-frontal facing and non-daylight images.
<br>
<br>
DOI: 10.6084/m9.figshare.23621094.v2
title: <strong>Phenotypic Characteristics of Cancer-Cachexia Across Time Points Following C26-tumor Implantation</strong>

description: Body weight (g), tumor weight (mg), tumor-free body weight (g), wet weights of gastrocnemius, tibialis anterior (TA), soleus, plantaris, and extensor digitorum longus (EDL), gonadal fat, spleen, liver, and heart – (mg), and tibia length (mm). Weights were analyzed covaried to tibia length to statistically account for any variance in body size between experimental groups. All values are represented as least square mean ± standard error of the mean (SEM). Labelling with different letters represents one-way anova statistical differences of each group comparison at Tukey-adjusted with alpha value set at p&lt;0.05 within each sex. No statistically significant differences between groups within each sex is found if the label shares a common letter. If groups are marked by different letters the groups are statistically different from one another. n=11-20/group. PBS, phosphate-buffered saline. Upper table male weights.
DOI: 10.6084/m9.figshare.24961311.v1
title: Melanoma in older patients

description: Population-based cohort study that aims to provide a comprehensive clinicopathological profile of cutaneous malignant melanoma (CMM) and indicators of diagnostic-therapeutic performance in old and very old patients.
DOI: 10.6084/m9.figshare.28829981.v2
title: The electronic health record as a teaching and learning tool in residency training: A scoping review

description: Purpose: While electronic health records (EHRs) are a critical tool for clinical care in academic medical centers, there is a gap in the literature regarding utilization of EHRs for teaching and learning, outside of descriptions on EHR training or use for quality improvement projects. The research question for this scoping review is: How is the EHR purposefully used in educational interventions for teaching and learning in graduate medical education?Methods: We searched all publications in PubMed, SCOPUS, CINAHL, ERIC, Cochrane and MedEdPORTAL databases from 2010 to 2022 that met our search criteria. Using Arksey and O'Malley's framework, the abstracts were reviewed by three team members, and the full text was reviewed by all authors using a standardized data extraction sheet.Results: Of the 2431 records, 19 met inclusion criteria and were reviewed in full. All studies were set in North America, 79% at teaching hospitals, and 42% in Internal Medicine programs. The EHR was used purposefully to improve learning in sepsis, diabetes, asthma, critical care, post- and peri-operative care, and it was used to provide feedback about clinical performance, test utilization, costs of care, and errors. The educational interventions included simulation, direct feedback using EHR data, and workshops with pre-post knowledge and skills testing.Conclusions: This scoping review identifies how the EHR is being used as a teaching and learning tool for trainees. There is a need for more purposeful use of the EHR in designing educational interventions for residents.
DOI: 10.6084/m9.figshare.31175674
title: Cichlid Bounding Box Dataset (CBBD)

description: One of the datasets used as part of the Animal Boost Net paper.
DOI: 10.6084/m9.figshare.31175674.v1
title: Cichlid Bounding Box Dataset (CBBD)

description: One of the datasets used as part of the Animal Boost Net paper.
DOI: 10.5281/zenodo.18408533
title: Source code and test data of the multi-model wind stress Drag Coefficient-Inversion Neural Network (Cd-INN)

description: This is the source code of the multi-model wind stress Drag Coefficient-Inversion Neural Network (Cd-INN), along with the related test data. The wind stress drag coefficient (Cd) is crucial for predicting storm surges, but current Cd parameterization schemes are uncertain due to limited observational data, leading to biases. To address this, we have developed the multi-model wind stress Drag Coefficient-Inversion Neural Network (Cd-INN) to quickly and continuously integrate observational data, avoiding the high computational costs of traditional data assimilation methods. We utilized 1,127 numerical simulations to train the Cd-INN, mapping storm surges to varying Cd values in the South China Sea.  Once trained, generating an "optimal" Cd value for a new storm surge event requires only a time series of obseverd surge (sequence length ≥ 6) and standard standard meteorological inputs (U10/V10 and MSL).
DOI: 10.5281/zenodo.18408534
title: Source code and test data of the multi-model wind stress Drag Coefficient-Inversion Neural Network (Cd-INN)

description: This is the source code of the multi-model wind stress Drag Coefficient-Inversion Neural Network (Cd-INN), along with the related test data. The wind stress drag coefficient (Cd) is crucial for predicting storm surges, but current Cd parameterization schemes are uncertain due to limited observational data, leading to biases. To address this, we have developed the multi-model wind stress Drag Coefficient-Inversion Neural Network (Cd-INN) to quickly and continuously integrate observational data, avoiding the high computational costs of traditional data assimilation methods. We utilized 1,127 numerical simulations to train the Cd-INN, mapping storm surges to varying Cd values in the South China Sea.  Once trained, generating an "optimal" Cd value for a new storm surge event requires only a time series of obseverd surge (sequence length ≥ 6) and standard standard meteorological inputs (U10/V10 and MSL).
DOI: 10.15468/dl.zdpdmp
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coenobita olivieri",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004816-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e3cpu2
title: Occurrence Download

description: A dataset containing 2084 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Oenothera tetraptera"
 ]
}

 The dataset includes 2084 records from 167 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004817-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.