cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.2558135
title: Downscaled 20CRv2c (#37) gridded historical climate data over China (1851-2010)

description: <strong>Gridded historical climate </strong><strong>data over China, spanning 1851 to 2010. Dynamically downscaled to 25km resolution using the PRECIS2.0 (HadRM3P) Met Office regional climate model, driven by 20th century reanalysis (20CRv2c, NOAA/ESRL PSD 20th Century Reanalysis version 2c, ensemble member 37).</strong> This data has been un-rotated to true latitude longitude coordinates from its original rotate pole frame of reference. For more information on the PRECIS regional climate model, visit www.metoffice.gov.uk/precis. Data near the boundaries should be used with caution due to model configuration aspects of regional climate modelling, and the interpolation method applied. <strong>Domain</strong>: 17N to 58.84N, 73E to 135.7E <strong>Countries covered</strong>: China, Nepal, Bhutan, Bangladesh, Taiwan, Mongolia, North Korea, South Korea, Kyrgzstan, and northern parts of India, Myanmar, Lao PDR & Vietnam. <strong>Variables</strong>: pr (mean precipitation flux), tm (mean surface temperature), tn (minimum surface temperature) & tx (maximum surface temperature) <strong>Time averaging</strong>: monthly <em>This data set supplements the equivalent downscaled ERA-Interim data set: Downscaled ERA-Interim gridded historical climate data over China (1980-2010) doi: 10.5281/zenodo.2600192</em>
description: This work and its authors were supported by the UK-China Research & Innovation Partnership Fund through the Met Office Climate Science for Service Partnership (CSSP) China as part of the Newton Fund.
description: {"references": ["Amato, R., Steptoe, H., Buonomo, E., & Jones, R. (2019). High-Resolution History: Downscaling China's Climate from the 20CRv2c Reanalysis, Journal of Applied Meteorology and Climatology, 58(10), 2141-2157"]}
DOI: 10.17034/69d6863c-5237-42d6-a1b9-598a7f7bedf9
title: Dataset for "Does electronic data collection perform better than paper-based data collection in health research fieldwork?: A Participatory Action Research in Zanzibar"

description: Twelve data collectors were interviewed. The Science of Improvement PLAN-DO-STUDY-ACT model guided this mixed-method participatory action research (PAR). From November 2022 to October 2023, the 12 data collection team members participated in 1) a consultative workshop with a Fishbone analysis to understand their hesitance to use electronic data collection tools for fieldwork (PLAN); 2) developing implementation and evaluation plan for the paper-based method (DO); 3) assessing the proportion of errors and challenges faced using paper-based method (STUDY); and 4) co-developing, implementing and assessing an electronic data collection tool (ACT). The interviews were translated, and content analyses were independently conducted by two analysts using content analysis. We aim to examine the concerns to use electronic data collection tool in Zanzibar, co-develop a tool to address the concerns and evaluated the process and limitations of incorporating an electronic data collection tool aside from paper-based during a community-based study in Zanzibar. 

The transcripts of the interviews are available in CSV format here. Note that personal signifiers have been redacted in order not to compromise the identity of subjects.
DOI: 10.25625/6gsjse
title: The Potential of Serverless Kubernetes-Based FaaS Platforms for Scientific Computing Workloads

description: Serverless computing has emerged as a new execution model for cloud computing with many advantages such as improved resource sharing and utilization as well as reduced complexity for developers that under serverless only need to write function code without worrying about server infrastructure. These advantages are also interesting for other fields of computing, for instance, High-Performance Computing (HPC) as improving resource sharing on expensive compute clusters would be a great benefit and serverless could even work as a drop-in replacement for existing HPC function. In order to utilize serverless on-premise, one needs to choose a serverless platform to deploy from the various, avail- able open source platforms, however, with so many rapidly evolving open source serverless platforms, it has become difficult to draw comparisons between them. Furthermore, there are no standardized benchmarks for serverless platforms, therefore, in order to perform a systematic analysis, three workloads inspired by scientific computing were designed and implemented in this thesis to compare the performance and usability of three representa- tive open source Kubernetes-based serverless platforms. The workloads include an image processing task as well as an adaption of dgemm() for HPL and were developed and tested on a cluster of Virtual Machines (VMs) provided by the Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen (GWDG)1. It was observed that the performance of these platforms can be adequate when compared to expected hardware limits, but overall there are still many opportunities for improvements in terms of performance and usability. The thesis was submitted in partial fulfillment of the requirements for the course “Applied Computer Science” and was supervised by Prof. Julian Kunkel (GWDG) and Dr. Sven Bingert (GWDG).
DOI: 10.21227/1jny-g144
title: Brain Tumor MRI Dataset

description: This dataset is a combination of the following three datasets :figshareSARTAJ datasetBr35HThis dataset contains 7023 images of human brain MRI images which are classified into 4 classes: glioma - meningioma - no tumor and pituitary.no tumor class images were taken from the Br35H dataset.I think SARTAJ dataset has a problem that the glioma class images are not categorized correctly, I realized this from the results of other people's work as well as the different models I trained, which is why I deleted the images in this folder and used the images on the figshare site instead.
DOI: 10.21227/katb-zv89
title: BCI Competition 2008–Graz data set A

description: This data set consists of EEG data from 9 subjects. The cue-based BCI paradigm consisted of four di erent motor imagery tasks, namely the imag ination of movement of the left hand (class 1), right hand (class 2), both feet (class 3), and tongue (class 4). Two sessions on di erent days were recorded for each subject. Each session is comprised of 6 runs separated by short breaks. One run consists of 48 trials (12 for each of the four possible classes), yielding a total of 288 trials per session.At the beginning of each session, a recording of approximately 5 minutes was performed to estimate the EOG inuence. The recording was divided into 3 blocks: (1) two minutes with eyes open (looking at a xation cross on the screen), (2) one minute with eyes closed, and (3) one minute with eye movements. Note that due to technical problems the EOG block is shorter for subject A04T and contains only the eye movement condition.The subjects were sitting in a comfortable armchair in front of a com puter screen. At the beginning of a trial (t = 0s), a xation cross appeared on the black screen. In addition, a short acoustic warning tone was pre sented. After two seconds (t = 2s), a cue in the form of an arrow pointing either to the left, right, down or up (corresponding to one of the four classesleft hand, right hand, foot or tongue) appeared and stayed on the screen for 1.25s. This prompted the subjects to perform the desired motor imagery task. No feedback was provided. The subjects were ask to carry out the motor imagery task until the xation cross disappeared from the screen at t = 6s. A short break followed where the screen was black again.
DOI: 10.5281/zenodo.10953627
title: Multispecies IPM for South polar skua and Adelie penguin

description: Code and data for a multispecies IPM (integrated population model) on South polar skua and Adélie penguin.

Please contact me for any questionMail: lise.viollat@protonmail.comTwitter: @LiseViollat

 

Code files : 

- multispeIPM_skua_adelie_CODE.txt: Code of the multispecies IPM (Bugs language)

- Parameter_init.txt : initialisation of the parameters used for the model

Bayesian posterior distributions of the multispecies IPM were approximated with Markov chain Monte Carlo (MCMC) algorithms. Two independent chains MCMC of 30 000 iterations were used, with a burn-in period of 10 000 iterations. Gelman-Rubin convergence diagnostics (Brooks and Gelman, 1998) were below 1.1 for each parameter and the mixing of the chains was satisfactory. The analyses were performed using JAGS (Plummer, 2003; version 4.3.0) and program R (R version 4.0.5).

Data files : 

From 1988 to 2018

- Count_adelie.csv: Number of breeding pairs of Adelie Penguins and Chicks by year

- Count_skua.csv : Number of occupied sites, breeder, non breeder and chicks of South polar Skua by year

- Skua_matrix.txt: CMR data on South polar skua

  CMR code:     0 = non-observed

                1 = seen as non-breeder

                2 = seen as failed breeder

                3 = seen as successful breeder with one fledged chick

                4 = seen as successful breeder with two chicks fledged chicks

                5 = seen in a uncertain state

 The last column is if the individual as been seen dead (-1) or not (1)

- Climat_cova.txt: climatic covariables (Air temperature (AT), sea ice concentration (SIC), sea surface temperature anomalies (ssta),  and number of emperor penguin dead chicks

- N_immigrant: number of new individuals seen for the first time at the colony by year
DOI: 10.5281/zenodo.3245460
title: Raw metagenomic data from sweep net samples collected in 2016 as part of the Slikok Creek Watershed Biotic Inventory

description: We set out to inventory vascular plants, bryophytes, lichens, birds, arthropods, and earthworms on a grid of sites in the portion of Slikok Creek watershed that is on the Kenai National Wildlife Refuge, Kenai Peninsula, Alaska. Occurrence data, images, and field data sheets from this project are available via an Arctos project page at http://arctos.database.museum/project/10002227. This dataset includes the raw FASTQ files from metagenomic processing and associated collection data. Of the 160 sweep net samples collected, 125 were selected for High Throughput Sequencing and shipped to RTL Genomics (http://rtlgenomics.com) for extraction and sequencing steps. Sequencing was performed on an Illumina MiSeq platform and reads were processed using RTL Genomics’ standard methods with the mlCOIlintF/HCO2198 primer set of Leray et al. (2013), yielding a 313 bp region of the COI gene. Collection data are included in the file <code>ArctosData_43C6167EB1.csv</code> downloaded from Arctos. Extraction methods and sequencing methods provided by RTL Genomics are included in the files <code>Bowser 4869.pdf</code> and <code>Illumina MiSeq Two-Step Method 454 profile only.docx</code>. Primers used are provided in the file <code>Bowser_4869M.txt</code>. The archive <code>FASTQ.zip</code> contains all of the resulting FASTQ files. These sequence data have also been been published to GenBank's Sequence Read Archive in accessions SRR10454582–SRR10454706 under BioProject PRJNA427721.
description: {"references": ["Leray M, Yang JY, Meyer CP, Mills SC, Agudelo N, Ranwez V, Boehm JT, Machida RJ (2013) A new versatile primer set targeting a short fragment of the mitochondrial COI region for metabarcoding metazoan diversity: application for characterizing coral reef fish gut contents. Frontiers in Zoology 10:34. https://doi.org/10.1186/1742-9994-10-34"]}
DOI: 10.17871/fluxcom_carbonfluxes_v1
title: FLUXCOM Global Land Carbon Fluxes

description: FLUXCOM used machine learning to merge carbon flux measurements from FLUXNET eddy covariance towers with remote sensing and meteorological data to estimate gross primary productivity (GPP), terrestrial ecosystem respiration (TER) and net ecosystem exchange (NEE) and their uncertainties. The resulting database comprises more than 100 global gridded products in two setups: (1) using exclusively MODIS remote sensing data (RS) on a 0.0833° grid, and (2) using remote sensing and meteorological data (RS+METEO) at 0.5° resolution. Within each setup we use a full factorial design across multiple machine learning methods, climate forcing datasets (for RS-METEO) and two flux partitioning approaches. Here we provide these data on a monthly resolution and provide also FLUXCOM ensemble products. Please see Jung et al. 2020, BG and Tramontana et al. 2016, BG before using the data, and cite both papers in publications. These data are freely available on a CC4.0 BY license.
DOI: 10.15468/dl.3mfhax
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Brachydesmus pancici Makarov & Curcic, 2004",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080413-240626123714530/datasets/export for details.
DOI: 10.13026/51h0-a262
title: Labeled raw accelerometry data captured during walking, stair climbing and driving

description: The database contains raw accelerometry data collected during outdoor walking,
stair climbing, and driving for 32 healthy adults. Accelerometry data were
collected simultaneously at four body locations: left wrist, left hip, left
ankle, and right ankle, at a sampling frequency of 100 Hz. The 3-axial
ActiGraph GT3X+ devices were used to collect the data. The data include labels
of activity type performed (walking, descending stairs, ascending stairs,
driving, clapping) for each time point of data collection. Basic demographic
information of participants is also provided. All data are anonymized.
DOI: 10.6084/m9.figshare.26425510
title: Supplementary Material for: Bridging the gap between intuition and theory: a comparison of different approaches to implementation strategy development for improving Lynch syndrome detection

description: Introduction: Despite growing calls for the explicit application of theory when designing behaviour change interventions, limited empirical evidence exists regarding the effectiveness of these methods compared to non-theoretical approaches. A cluster randomized controlled trial (Hide and Seek Project – HaSP) tested two implementation approaches for improving hereditary cancer referral practices with one key distinction: implementation strategies were designed based explicitly on psychological theory, or based on stakeholder intuition. This study presents the detailed methods and resources used to facilitate this comparison, whilst examining the strategies generated through both approaches. 
Methods: Across seven Australian hospitals, clinical stakeholders attended focus-groups to co-design site-specific strategies for improving Lynch syndrome referral. Co-design methods differed according to trial arm. Implementation strategy content was examined, with intuitively-derived strategies retrospectively coded to determine theoretical alignment. 
Results: Fifty-one strategies were proposed across all sites (theory-based arm = 32, intuition-based arm = 19). Overall, nine Behaviour Change Technique (BCT) categories were used on 77 occasions. In the theory-based trial arm, eight BCT categories were identified on 53 occasions; versus five BCT categories on 24 occasions in the intuition-based arm. BCT categories were largely similar across both arms. After retrospectively coding intuitively-derived strategies, 42% contained mechanistic links, thereby demonstrating theoretical alignment. 
Conclusion: Methods facilitated robust comparison of theoretical and intuitive approaches to implementation strategy design. Recognising the known benefits of theory for enhancing scientific learning, applying these methods on a larger scale may provide definitive evidence about the comparative effectiveness of theoretical approaches.
DOI: 10.5281/zenodo.10549869
title: (dataset) Quantifying athermal recombination corrected radiation damage in ion irradiated Fe and W utilizing the SRIM code

description: Data and code in support of manuscript:

"Quantifying athermal recombination corrected radiation damage in ion irradiated Fe and W utilizing the SRIM code",  submitted to 31st symposium proceedings of the Hellenic Nuclear Physics Society.

Here all data and scripts can be found inside corresponding files. For further details, refer to README_HNPS.md.
DOI: 10.17632/nc573y67tp.2
title: Experimental dataset on water levels in studying the influences of dry- and wet-bed downstream conditions on multiphase dam break flood wave while 0 to 25% of the dam reservoir is occupied by sedimentation

description: Experimental data collection In this file, all water level data associated with 12 different dam break scenarios were extracted from high-quality experimental video images. The dataset are collected, classified and presented a total of 12 distinct tables in 3 categories based on initial upstream sediment depth; 0 cm, 3 cm and 7.5 cm. Tables 1-4, present the free surface water level data at 20 different locations along the flume and 15 snap times after the dam break, while the upstream reservoir was filled by clear water (no sediment). Dry- and wet-bed initial downstream condition with 2 cm, 4 cm and 5 cm standing water depth are detailed in Table 1-4, respectively. Table 5-8 provide the free surface water level data at all abovementioned sections and snap times while the initial upstream sediment depth is 3 cm (10% of the reservoir height), and dry- or wet-bed downstream with 2 cm, 4 cm and 5 cm standing water depth were considered as initial downstream conditions, respectively. Table 9-12 show the free surface water level data at all sections and snap times while the initial upstream sediment depth is 7.5 cm (25% of the reservoir height), and dry- or wet-bed downstream with 2 cm, 4 cm and 5 cm standing water depth were considered as initial downstream conditions, respectively. Foad Vosoughi, Gholamreza Rakhshandehroo, Mohammad Reza Nikoo Affiliations 1st Author: Foad Vosoughi, Research Associate, Department of Civil and Environmental Engineering, Shiraz University, Shiraz, Iran. foad.vosooghi@gmail.com 2nd Author: Gholamreza Rakhshandehroo, Professor, Department of Civil and Environmental Engineering, Shiraz University, Shiraz, Iran. 3rd Author: Mohammad Reza Nikoo, Associate Professor, Department of Civil and Environmental Engineering, Shiraz University, Shiraz, Iran.
DOI: 10.5517/cc13dk9c
title: CCDC 1024962: Experimental Crystal Structure Determination

description: Related Article: R. K. Bhubon Singh, U. Wang, Toka Swu|2014|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5066/p90czj1y
title: Nitrogen, phosphorus, and suspended-sediment loads and trends measured at the Chesapeake Bay River Input Monitoring stations: Water years 1985-2021

description: Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in major rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay River Input Monitoring (RIM) Network stations for the period 1985 through 2021. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regression on Time, Discharge, and Season). The load results represent the total mass of nitrogen, phosphorus, and suspended sediment that was exported from each of the RIM watersheds and were estimated using the WRTDS method with Kalman filtering. To determine the trend in loads, the annual load results are flow normalized to integrate out the year-to-year variability in river discharge. The trend in load is derived from the flow-normalized load timeseries and represents the change in load resulting from changes in sources, delays associated with storage or transport of historical inputs, and (or) implemented management actions. Four data tables are provided that describe nitrogen, phosphorus, and suspended-sediment conditions across the RIM: (1) Annual Loads, (2) Monthly Loads, (3) Trends in Annual Loads, and (4) Average Yield (mass per unit area). Additionally, essential WRTDS Input and Output files are provided.
DOI: 10.25423/cmcc/multiobs_glo_phy_w_rep_015_007
title: CNR global observation-based OMEGA3D quasi-geostrophic vertical and horizontal ocean currents (1993-2018)
title: MULTIOBS_GLO_PHY_W_REP_015_007

description: The Global Ocean Multi Observations OMEGA3D product has been developed by the Consiglio Nazionale delle Ricerche in the framework of the Copernicus Monitoring Environment Marine Service (CMEMS). It provides a timeseries of 3D quasi-geostrophic vertical and horizontal ocean currents covering the period from January 1993 to December 2018. The data are provided over a regular grid at 1/4° horizontal resolution, with 75 non-uniformly spaced vertical levels between the surface and 1500 m depth. OMEGA3D product is delivered with a weekly sampling (representative of each Wednesday). The velocities are obtained by solving a Q-vector formulation of the Omega equation that explicitly considers the effect of both geostrophic advection and upper layer turbulent mixing as described by KPP parameterization. Omega forcings are estimated from the CMEMS observation-based ARMOR3D temperature and salinity multi-year data and ERA-Interim surface fluxes.
DOI: 10.25318/3210036501-eng
title: Area, production and farm gate value of vegetables

description: Average yield, area harvested and planted, total and marketed production of vegetables.
DOI: 10.5281/zenodo.6522395
title: ACcoding-Dataset: v1.0.0

description: Data as of May 6, 2022
DOI: 10.15468/dl.9mudf8
title: Occurrence Download

description: A dataset containing 187 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nyctalus azoreum (Thomas, 1901)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 187 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080414-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/icpsr34789.v3
title: State Health Policy Research Dataset (SHEPRD): 1980-2010
title: Version 3

description: This dataset was developed to study trends in the adoption of state public health laws during 1980-2010. Specifically, the dataset covers annual trends in seatbelt laws, speed limits for passenger vehicles on rural interstates, minimum legal drinking ages, drunk driving laws, laws prohibiting the purchase of alcohol on Sundays, regulations for registering purchased kegs and/or prohibitions against selling kegs, beer taxes and total alcohol tax revenues, motorcycle and bicycle helmet laws, cigarette taxes, cigarette advertising bans, bans on workplace smoking, bans on smoking in restaurants and bars, and tobacco taxes (total revenue). The dataset contains information about these laws for each year between 1980 and 2010, inclusive. In addition, it contains variables that describe the social, economic, demographic, health care, political, and crime chacteristics of the states in each of these years.
description: Datasets: DS1: State Health Policy Research Dataset (SHEPRD): 1980-2010
description: States of the U.S.
description: Each state has 31 cases in the dataset, one for each year between 1980-2010, for a total of 1,550 cases.