cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3572508
title: Pearl River Delta FVCOM model sea level rise scenarios

description: Model data presented in: De Dominicis, M., Wolf, J., Jevrejeva, S., Zheng, P., Hu. Z. "Future interactions between sea level rise, tides and storm surges in the world's largest urban area", Geophysical Research Letters (2020). An FVCOM (Finite Volume Community Ocean Model) implementation for the South China Sea and the Pearl River Delta is used to understand how future sea level rise, tides and typhoon storm surges can interact and affect coastal inundation. Four future sea level rise scenarios have been analyzed: 0.3 m, 0.5 m, 0.9 m and 2.1 m. Two typhoons that impacted the PRD have been modelled: Hato (2017) and Mangkhut (2018). The dataset consists of water elevation data for 40 model experiments: EXP01-10 allow to study tide and sea level rise interactions. The Pearl River Delta model has been run for 1 month forced only by tides and sea level rise at the model boundary. EXP11-15 (for Hato) and EXP26-30 (for Mangkhut) allow the study of tide, surge and sea level rise interactions; in these experiments the model has been fully forced by atmospheric forcing, tides and sea level rise. EXP16-20 (for Hato) and EXP31-35 (for Mangkhut) allow the study of tide and sea level rise interactions and are needed for the calculation of the surge, the model has been forced by tides and sea level rise only at the model boundary. The surge can be calculated as the difference between the fully forced run (EXP11-15 and EXP26-30) and the corresponding tide-only forced run (EXP16-20 and EXP31-35) for a given sea level rise. EXP21-25 (for Hato) and EXP35-40 (for Mangkhut) allow the study of the surge and sea level rise interactions only (no tides); for these experiments the model has been forced by atmospheric forcing and sea level rise at the model boundary.
DOI: 10.5281/zenodo.4449697
title: Extreme Precipitation Potential and Slow-moving Extreme Precipitation Potential

description: Extreme Precipitation Potential (EPP) and Slow-moving Extreme Precipitation Potential (SEPP) are described in Kahraman et al. paper "Quasi-stationary intense rainstorms spread across Europe under climate change". File names as "identifier+YYYY+MM+.nc".<br> EPP count per month for current (identifier=hvpraj) and future (identifier=hvprak) climate. SEPP count per month for current (identifier=hvprslowaj) and future (identifier=hvprslowak) climate. YYYY=simulation year MM=simulation month ".nc"=netcdf extension
description: Additional funding from Joint UK BEIS/Defra MOHC Climate Programme (GA01101), and European Research Council Grant, INTENSE (ERC-2013-CoG-617329).
DOI: 10.5281/zenodo.5833742
title: Carbon fluxes data over Indian spring wheat agro-ecosystem

description: The data consists of the following:



Site-scale carbon flux data for an IARI experimental wheat site for the growing season 2013–2014 in New Delhi (28°40' N, 77°12' E).

The simulation data in NetCDF format comprises carbon fluxes such as GPP, NPP, Ra, Rh, and NEE.

Harvested wheat area of spring wheat across the Indian wheat-growing regions.
DOI: 10.5281/zenodo.6485220
title: Estimating Running Ground Reaction Forces from Plantar Pressure during Graded Running Dataset

description: Ground reaction force predictions, models, and ground truth measurements.
DOI: 10.15468/dl.3ys6ju
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((146.855833 -35.960266, 146.855833 -35.962511, 146.858079 -35.962511, 146.858079 -35.964757, 146.862571 -35.964757, 146.862571 -35.960266, 146.855833 -35.960266))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048189-240626123714530/datasets/export for details.
DOI: 10.5281/zenodo.3874805
title: Social contact data for Peru

description: This is the social contact data for Peru.
description: {"references": ["Grijalva CG, Goeyvaerts N, Verastegui H, Edwards KM, Gil AI, Lanata CF, et al. (2015) A Household-Based Study of Contact Networks Relevant for the Spread of Infectious Diseases in the Highlands of Peru. PLoS ONE 10(3): e0118457. doi:10.1371/journal.pone.0118457"]}
DOI: 10.5281/zenodo.4879639
title: Meteorological and ground observations in the Qinghai-Tibet Engineering Corridor

description: Observation of meteorological factors was conducted at two permanent meteorological stations (Golmud and Wudaoliang) and one field meteorological station (Xidatan) with daily meteorological records. All three meteorological stations contain ground observations.
DOI: 10.5281/zenodo.162306
title: Modis-Adjusted Ndvi3G For Central Europe V1.1

description: The noise filtered and MODIS-adjusted NDVI3g dataset was created from the original NDVI3g (Pinzon and Tucker, 2014) to support vegetation related research in Central Europe. Details about the method used for the creation of this dataset are available in Kern et al. (2016). Further information and datasets can be found at http://nimbus.elte.hu/NDVI_CE/.

 

References

Kern, A., Marjanović, H., Barcza, Z., 2016. Evaluation of the Quality of NDVI3g Dataset against Collection 6 MODIS NDVI in Central Europe between 2000 and 2013. Remote Sensing 8, 955. doi:10.3390/rs8110955

Pinzon, J.E.; Tucker, C.J., 2014. A Non-Stationary 1981-2012 AVHRR NDVI<sub>3g</sub> Time Series. Remote Sensing 6, 6929-6960. doi:10.3390/rs6086929
description: This is version 1.1 of the dataset.

The research has been supported by the Hungarian Scientific Research Fund (OTKA PD-111920) and the Croatian Science Foundation (HRZZ UIP-11-2013-2492).
DOI: 10.1594/pangaea.808667
title: (Table 1) Physical properties of sediments at DSDP Holes 79-545 and 79-547A

description: Laboratory measurements of the acoustic and physical properties of deep-sea sediments and rocks are important for the interpretation of seismic reflection and refraction data and estimation of in situ physical property values. Furthermore, the results of such measurements can be used to design geoacoustic models of the upper oceanic crust that can relate the physical properties of deep-sea sediments to lithology, depth of burial, and diagenetic effects (Hamilton, 1980; Milholland et al., 1980). The purpose of this paper is to report the results of laboratory measurements of wet-bulk density, compressionalwave velocity, and velocity anisotropy on sediments cored during DSDP Leg 79. The sample suite consists of 11 calcareous claystones and clay-rich chalks recovered between 370 to 720 m sub-bottom at Holes 545 and 547A.
description: Supplement to: Schaftenaar, C H; Carlson, Richard L (1984): Acoustic properties of calcareous claystones and clay-rich chalks, Deep Sea Drilling Project, Leg 79. In: Hinz, K; Winterer, EL; et al. (eds.), Initial Reports of the Deep Sea Drilling Project, Washington (U.S. Govt. Printing Office), 79, 853-854
DOI: 10.5281/zenodo.3373398
title: QROWD/crowd-voc: Crowd-Voc v0.1.0

description: Initial release
DOI: 10.5281/zenodo.6334237
title: Meteorological responses of carbon dioxide and methane fluxes in the terrestrial and aquatic ecosystems of a subarctic landscape [Data set]

description: The data set contains carbon dioxide (CO<sub>2</sub>) and methane (CH<sub>4</sub>) fluxes of boreal subarctic landscape and its ecosystems and ecotones, and ancillary meteorological and environmental data, measured at Kaamanen, northern Finland (69°8’ N, 27°16’ E; 155 m a.s.l.), during June 2017 - June 2019. The studied ecosystems and ecotones include: upland pine forest, fen, treed pine bog, sparsely treed pine bog, lakes and string top fen plant community. C_fluxes1_Heiskanen_et_al_2022.csv includes quality screened, u* filtered and gap-filled eddy covariance ecosystem flux data, temporally and area weighted average lake chamber fluxes and modelled pine bog and string top time series utilising eddy covariance and manual flux chamber measurements. C_fluxes2_Heiskanen_et_al_2022.csv includes quality screened daily average lake fluxes from mineral and organic sediment lakes. environmental_data_Heiskanen_et_al_2022.xlsx includes ancillary meteorological and environmental data.
description: This work was supported by the Finnish Meteorological Institute, the University of Helsinki, the Natural Resources Institute Finland, the University of Eastern Finland and the Academy of Finland CAPTURE-project (Carbon dynamics across Arctic landscape gradients: past, present and future) grant (no. 296423).
DOI: 10.17632/nz6tdyvjdh.1
title: Goan Fish Dataset - Day3to7

description: This dataset was created for:
1. Fish Identification
2. Fish Freshness Detection
3. Formalin Detection

For this study, the fish dataset was created for fish identification using 4 different fish families. Also, for fish freshness, a dataset was created using one fish family. 


The illumination condition and background were kept the same for all the images. 
Fish family used were local fish namely Green Chromide (Calandor), Crescent Grunter (Kharkhare), Gray Mullet (Shevto), Jibra (Local name) from brackish water for identification of fish whereas Indian Mackerel (Bangda) from seawater for experimental analysis of fish freshness from day 0 to day 5.
DOI: 10.15156/bio/786345
title: UNITE USEARCH/UTAX release for Fungi

description: Abstract: Reference file for USEARCH/UTAX. For optimized parameters and further information, please refer to the UTAX UNITE page. This is the "dynamic" release of the UNITE species hypotheses system, with singleton species hypotheses included. Any parts of the 18S and 28S are left in these sequences. This reference file can be used for ITS1-only or ITS2-only sequences if parameters trained on ITS1 or 2 only ('taxconfs' files) are used. ITS regions can be extracted using the ITSx tool.
description: Reference file for USEARCH/UTAX. For optimized parameters and further information, please refer to the UTAX UNITE page. This is the "dynamic" release of the UNITE species hypotheses system, with singleton species hypotheses included. Any parts of the 18S and 28S are left in these sequences. This reference file can be used for ITS1-only or ITS2-only sequences if parameters trained on ITS1 or 2 only ('taxconfs' files) are used. ITS regions can be extracted using the ITSx tool.
DOI: 10.5066/p9asczer
title: Trend Departure Index Results for sites in the RESTORE Trend Analysis and Hydrologic Alteration Studies

description: This dataset includes results of the Trend Departure Index (TDI) for 139 sites in the RESTORE trend analysis study and approximately 9,200 HUC12 pour points in the streamflow alteration study. Data from the 139 sites in the trend analysis were compared against reference site data from the GAGES II dataset (Falcone and others, 2010) and were used to calculate the departure from reference conditions. The streamflow alteration study used pre- and post-periods of analysis to quantify hydrologic alteration in terms of a ratio. The TDI is a ratio of the difference between two sites divided by 365 (total number of trends per site). TDI varies from 0 to 1; a TDI of 0 indicates the trend results for the site are identical to the reference site and any value larger than 0 indicates some departure compared to the reference condition. The larger the number (the closer to 1), the more departure or deviation relative to the reference site in trend across all quantiles for the site. The TDI is divided into interquartile ranges with levels of departure as follows: 0.00-0.22, fewest departures; 0.23- 0.44, low- to-moderate departures; 0.45-0.66, moderate-to-high departures; and 0.67-1.00, most departures. Trend Departure for each inter-decadal period is included in the trend analysis study and for the entire period of record for the streamflow alterations analysis. The Site_Info.zip and the Site_Info_Master.csv from Robinson and others (2020) can be used to cross reference sites with the basin characteristics .csv file from Crowley-Ornelas and others (2019). Crowley-Ornelas, E.R., Worland, S.C., Wieczorek, M.E., Asquith, W.H., Knight, R.R., 2019, Summary of basin characteristics for National Hydrography Dataset, version 2 catchments in the Southeastern United States, 1950 - 2010: U.S. Geological Survey data release, https://doi.org/10.5066/P9KXTDU4. Falcone, J.A.; Carlisle, D.M.; Wolock D.M.; Meador, M.R. 2010, GAGES: A stream gage database for evaluating natural and altered flow conditions in the conterminous United States: Ecology, v. 91, p. 62, https://esajournals.onlinelibrary.wiley.com/doi/10.1890/09-0889. Robinson, A.L., Worland, S.C., and Rodgers, K.D., 2020, Estimated daily mean streamflows for HUC12 pour points in the southeastern United States, 1950 - 2009: U.S. Geological Survey data release, https://doi.org/10.5066/P9P36GXZ.
DOI: 10.5066/p9mxdtbi
title: Vulnerability of shallow ground water and drinking-water wells to nitrate in the United States: Model of predicted nitrate concentration in shallow, recently recharged ground water - Model output data set (gwava-s_out)

description: These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This data set represents predicted nitrate concentration in shallow, recently recharged ground water, in milligrams per liter, in the conterminous United States, and was generated by a national nonlinear regression model based on 16 input parameters. Nolan and Hitt (2006) developed two national models to predict contamination of ground water by nonpoint sources of nitrate. The nonlinear approach to national-scale Ground-WAter Vulnerability Assessment [...]
DOI: 10.5281/zenodo.10530515
title: Dataset for CrashJS: A NodeJS Benchmark for Automated Crash Reproduction
DOI: 10.5281/zenodo.10576757
title: Opening the Valve on Pure Data Dataset

description: This page contains the i) SQLite database, and ii) scripts and instructions for the paper titled Opening the Valve on Pure-Data: Usage Patterns and Programming Practices of a Data-Flow Based Visual Programming Language.

 

We have provided two main files in this link:



dataset.tar.gz

scripts_and_instructions.zip


 

Additionally, the i) SQLite database, ii) scripts and instructions, and iii) mirrored repositories of the PD projects can also be found in the following link: https://archive.org/details/Opening_the_Valve_on_Pure_Data. 

 

The download instructions are as follows:



Our dataset is available at this link and also at archive.org and at 



https://zenodo.org/records/10576757 

as a file titled dataset.tar.gz (~1.12GB). You can download the file and then you can unzip the database by running tar -xzf dataset.tar.gz.

You can also find the scripts and instructions needed to use our database and replicate our work inside the scripts_and_instructions.zip (~116MB) file, which you can download from this link and also from the same archive.org link. After that, you can unzip the scripts_and_instructions.zip file by using the command: unzip scripts_and_instructions.zip.

Finally, the mirrored PD repositories are available at archive.org. The file is titled pd_mirrored.tar.gz (~242.5GB). You can download the zipped folder of the mirrored repositories using the following command: wget -c https://archive.org/download/Opening_the_Valve_on_Pure_Data/pd_mirrored.tar.gz. After that, you can unzip the file using tar -xzf pd_mirrored.tar.gz.


 

You can find a README.md file inside the unzipped directory titled scripts_and_instructions detailing the structure and usage of our dataset, along with some sample SQL queries and additional helper scripts for the database. Furthermore, we have provided instructions for replicating our work in the same README file.
DOI: 10.5281/zenodo.10828350
title: Earthquakes used for spllitting analysis

description: These files include the list of earthquakes which were used for splitting analysis. 

Columns 1 and 5 represent occurrence date and time of the earthquake, respectively.

Columns 2, 3, and 4 are the longitude, latitude, and depth of the epicenter, respectively, and column 17 is the magnitude.

Columns 8 and 12 are the estimated delay time and fast direction, respectively, and columns 9 and 13 are their standard errors.
DOI: 10.5281/zenodo.11616290
title: Copy number variation introduced by a massive mobile element facilitates global thermal adaptation in a fungal wheat pathogen - Supplementary Data files

description: Supplementary Data file 3-4 included in the manuscript Copy number variation introduced by a massive mobile element facilitates global thermal adaptation in a fungal wheat pathogen.
DOI: 10.5281/zenodo.3754753
title: SPARC Reanalysis Intercomparison Project (S-RIP) reanalysis common grid files

description: This is the reanalysis common grid data set produced as part of the SPARC (Stratosphere-troposphere Processes and their Role in Climate) Reanalysis Intercomparison Project (S-RIP). These data have been used in several chapters in the S-RIP report, including Chapter 4 (Overview of Ozone and Water Vapou<strong>r</strong> - See Davis et al., ACP, 2017) and Chapter 8 (Tropical Tropopause Layer - See Tegtmeier et al., ACP, 2020). Notes about this data set: - Data set size: ~26 GB<br> - Reanalyses included are CFSR, ERA-I, JRA-25, JRA-55, MERRA, MERRA-2<br> - Variables include T (variable name ta), u (ua), v (va), O3 (tro3), WV (hus), and GPH (zg)<br> - Data are based off of the ana4mips data set<br> - Data are on a 2.5° x 2.5° grid<br> - All values are monthly means<br> - Pressure levels are (1000, 925, 850, 700, 600, 500, 400, 300, 250, 200, 150, 100, 70, 50, 30, 20, 10, 7, 5, 3, 2, 1, .7, .5, .3, .1 hPa)<br> - 3 time periods are provided:<br> - The “full” time period (different for each reanalysis)<br> - The “S-RIP base period” (i.e., 197901-201312)<br> - The “climatology” period (198101-201012)<br> - Both 3D (lon,lat,level) and zonal mean 2D (lat, level) files are provided<br> - Both timeseries and climatology data are provided. Files with “ltm” in the name are climatologies<br> - Reanalysis “Ensemble” files are located in the /ensemble directory (See note below*) <br> *Regarding the “ensemble” data — I highly recommend using the “ensemble” files in the “ensemble” folder for climatological intercomparisons.<br> You can use a single file (e.g., hus_Amon_reanalysis_ENS_198101-201012.cg.ltm.nc for water vapor) that contains the climatologies for each reanalysis.<br> The data in these files are of dimension (lon, lat, level,time(==12 months ), “record”), where record 0 = CFSR, 1=ERA-I, 2=JRA-25, 3=JRA-55, 4=MERRA, 5=MERRA2. There is also a corresponding “ensemble mean” file (e.g., hus_Amon_reanalysis_ENS_198101-201012.cg.ltm.ensmean.nc) that is simply the ensemble mean climatology from the 4 core reanalyses (CFSR, ERA-I, JRA-55, MERRA — EXCLUDING JRA-25 & MERRA2).
DOI: 10.5281/zenodo.4455631
title: Establishing diversity in synthetic time series for prediction performance evaluation

description: This dataset enables practitioners to evaluate their time series prediction algorithms on various types of time series
DOI: 10.5281/zenodo.8301248
title: Raw data: Validation of a method for surveillance of nanoparticles in mussels using single particle inductively coupled plasma mass spectrometry

description: The compressed archive contains SP-ICP-MS data to reproduce results for the paper with the working title "Validation of a method for surveillance of nanoparticles in mussels using single particle inductively coupled plasma mass spectrometry"". The remaining data to produce all other results, visualizations and statistics for the paper is included in the supplementary or GitHub. Associated code is deposited in a GitHub repository, github.com/arebruvold/mussel_validation .
DOI: 10.6084/m9.figshare.899875
title: MUTAG and ENZYMES DataSet

description: These are variants of the MUTAG and ENZYMES datasets as they are used in many graph kernel papers. These variants are extracted from the Matlab versions defined by Shervashidze et al. 2011. See http://jmlr.org/papers/v12/shervashidze11a.html
DOI: 10.25326/432
title: LIAISE_ELS-PLANS_UKMO_MTO-05MIN_L2

description: This dataset contains   

Vertical characteristics:  

Air temperature at 1.2m, 10m, 25m, 50m.    

Relative humidity at 1.2m, 10m, 25m, 50m.  

Absolute humidity at 2m, 10m (these ae uncalibrated measurements from the Licor and Krypton, respectively, and were used in calculating humidity fluxes only. Please use relative humidity and air temperature to calculate absolute humidity if required.)   

Wind speed, direction, gust strength and turbulence derived characteristics at 2m, 10m, 25m, 50m (measured with both north and south facing sonic anemometers.)  

Visibility at 2m,.  

Pressure at 2m.  

Upwards and downwards shortwave and longwave radiation at 2m  

Surface measurements:  

Tipping bucket rainfall.   

Infra-red surface temperatures taken at 2m (measured with both north and south facing thermometers.)  

Grass canopy temperature and relative humidity at 2 locations with slightly different characteristics and to ensure observation resilience.  

Subsurface characteristics:  

Soil temperatures at 1 cm, 4 cm, 10cm, 17cm, 35cm.  

Soil moisture at 2cm, 10cm, 20cm, 30cm, 40cm 

Soil heat flux taken at 2cm at 2 locations to examine heterogeneity and ensure observation resilience.  

The data is column oriented with quality flags preceding the data column.    

Quality flags: | = data OK, X = data flagged as bad, dummy value of 1x1011 applied, m = data missing, ? = possibly suspect data, do not use for bulk processing/statistics, c = calibration suspect, D = sonic orientation bad for wind direction – applied to data derived from sonic anemometers only and indicates that the wind and turbulence data for those times in particular may not be reliable.  

These measurements have been done at Els Plans, Spain (41.590111N, 1.029363 W, 334m)  

Altitude 334m  

Latitude 41.590111 

Longitude 1.029363
DOI: 10.18112/openneuro.ds005216.v1.0.1
title: UltraCortex: Submillimeter Ultra-High Field 9.4T Brain MR Image Collection and Manual Cortical Segmentations
DOI: 10.5281/zenodo.10156342
title: Data presented in Crustal structure and anisotropy measured by CHINArray and implications for complicated deformation mechanisms beneath the eastern Tibetan margin

description: The dataset includes the raw waveforms and receiver functions presented in the paper  Crustal structure and anisotropy measured by CHINArray and implications for complicated deformation mechanisms beneath the eastern Tibetan margin, submitted to JGR Solid Earth.
Contact: Zengsijia@cug.edu.cn
DOI: 10.5281/zenodo.10307603
title: Bidirectional dataset

description: Results of the paper the evaluation of the paper "Bidirectional Paper-Repository Tracing in Software Engineering" accepted at MSR 2024. The script were used for an analysis of over 14000 papers in the Cs.SE category in Arxiv

Link to GitHub repository: https://github.com/oeg-upm/bidirectional_paper_repository_scripts

Extraction pipelines:

- https://github.com/SoftwareUnderstanding/RSEF (pdf)

- https://github.com/ctreude/SoftwareImpactHackathon2023_BiDirectional (latex)

The authors would like to acknowledge the Chan Zuckerberg Initiative for hosting the workshop that led to the development of this work.
DOI: 10.5281/zenodo.10688774
title: Dataset for "Optimizing Drought Assessment for Soil Moisture Deficits"

description: Dataset for the paper, "Optimizing Drought Assessment for Soil Moisture Deficits" by Hoylman et al.
DOI: 10.5281/zenodo.11910722
title: Velocity Dependence of Rate-and-State Friction in Granular Fault Gouge and Implications for Slow-Slip Events

description: These data include all experimental results used in the manuscript "Velocity Dependence of Rate-and-State Friction in Granular Fault Gouge and Implications for Slow-Slip Events".