cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4404547
title: Pan-cancer analysis of mRNA stability for decoding tumour post-transcriptional programs

description: Supplemental data and analysis files for Perron et al.: "Pan-cancer analysis of mRNA stability for decoding tumour post-transcriptional programs" (https://www.nature.com/articles/s42003-022-03796-w). The .tar.gz files contain read counts associated with various RNA-seq analyses. The .rds files are single R object files that contain various analysis results tables. The .csv files also contain analysis results or sample metadata tables. See http://csg.lab.mcgill.ca/sup/pancancer_stability/ for a full description of the files.
description: {"references": ["Perron et al. (2022). Pan-cancer analysis of mRNA stability for decoding tumour post-transcriptional programs. Commun Biol 5:851"]}
DOI: 10.5281/zenodo.6299075
title: DeepCAD-RT dataset: mouse neurites

description: DeepCAD-RT dataset: mouse neurites
DOI: 10.5281/zenodo.3873028
title: Bias Corrected Climate Projections from CMIP6 Models for South Asia

description: Bias-corrected data of precipitation, maximum temperature, and minimum temperature are developed for six countries in South Asia. Each zipped country file contains 13 models, and each model includes five scenarios (historical, ssp126, ssp245, ssp370, and ssp585). Inside a scenario folder, a file named PrecipData can be read as the first three columns from the 3rd row contain year month and day numbers. 1st two rows from the 3rd column represent the longitude and latitude. Separate ObservedData.zip file contains daily observed precipitation (mm), maximum temperature (deg C), and minimum temperature (deg C) data in each grid file.
DOI: 10.5281/zenodo.6366956
title: Supplemental data and code for Improved air quality in China can enhance solar power performance and accelerate carbon neutrality targets

description: Supplemental data and code for Improved air quality in China can enhance solar power performance and accelerate carbon neutrality targets
DOI: 10.1594/pangaea.908011
title: Maximum diameter of Neogloboquadrina pachyderma sinistral from surface sediment samples from the Norwegian-Greenland Sea

description: This data set contains unpublished measurements of the maximum diameter of shells of the planktic foraminifer Neogloboquadrina pachyderma sin. carried out on surface sediment samples from the Norwegian-Greenland Sea.
DOI: 10.5281/zenodo.6351163
title: The data of extreme precipitation character in China.

description: The annual frequency, average rainfall intensity and maximum rainfall intensity of hourly extreme rainfall for different stations from 1980 to 2019 in China.
DOI: 10.5281/zenodo.4476384
title: A modeling study of the tripole pattern of East China precipitation over the past 425 ka

description: These files contain the model outputs from Noresm-L that are used to draw the main parts of Figures in our paper entitled "A modeling study of the tripole pattern of East China precipitation over the past 425 ka".
DOI: 10.5281/zenodo.5515360
title: ChinaCroplandSM1km: 1km-gridded daily Soil Moisture for Crop drylands across China

description: ChinaCroplandSM1km provides 1km-gridded daily Soil Moisture for Crop drylands across China over 1993–2010, which contains four daily datasets separately by crop type and soil depth (crop-type <sub>soil-depth</sub>). This dataset is maize<sub>0-10.</sub> *** The data file is in “.tif" format *** Spatial extent: maize drylands across China *** Soil depth: 0-10cm *** Temporal Resolution: Daily *** Pixel size: 1000 m *** Projection information: GCS_WGS_1984 *** Filename convention: Year_DOY.tif *** Year: Values from 1993 to 2010
DOI: 10.5281/zenodo.6780820
title: Open Satellite Video Single Target Tracking Datasets (OpenSatSTTD)

description: We collect the latest open-source datasets for satellite video single target tracking (SatSTT) and launch the OpenSatSTTD project to promote the sharing of the latest research datasets in the SatSTT field. Satellite videos in the OpenSatSTTD project are collected from different sensors and platforms, and four targets (i.e., vehicles, trains, airplanes and vessels) are annotated by oriented bounding boxes. Users can obtain all satellite videos in the OpenSatSTTD project from links in the files. Source: Zheng, Ying., Zhu, Q., Luo, J., Li, Z., Lin, Z., Huang, X., and Zhang L.: Single Target Tracking in High-Resolution Satellite Videos: A Comprehensive Review (1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6780820, 2022.
DOI: 10.1594/pangaea.317179
title: Current meter data at station PCM2_OC_RSMAS_308 (CMDB code rcm02672)
DOI: 10.1594/pangaea.936080
title: Ecosystem variables including GPP, NPP, ET, LST, et al. in China during 2001~2018 (6.14 GB)

description: China has promoted its vegetation cover and terrestrial carbon sink through ecological restorations since the end of the 20th century. However, the temporal variation in vegetation carbon sequestration remains unclear, and the relative effects of climate change and human efforts are under debate. By integrating remote sensing and machine learning approaches into modelling, we explored the biological and physical pathways by which both climate change and human activities (e.g., ecological restoration, cropland expansion, and urbanization) have altered the Chinese terrestrial ecosystem, including the vegetation cover, surface heat fluxes, water flux and finally, vegetation carbon sequestration (i.e., gross and net primary production, GPP and NPP). During 2001~2018, GPP in China increased significantly at a rate of 49.1~53.1 TgC/yr2, and the climatic and anthropogenic contributions to GPP gains were comparable (48%~56% vs. 44%~52%). Spatially, afforestation dominated the forest cover expansions in the farming-pastoral ecotone in northern China, the Loess Plateau and the southwest karst region, while climate change promoted vegetation cover in most parts of southeastern China. Meanwhile, the NPP trend (22.4~24.9 TgC/yr2) during 2001~2018 was highly attributed to human disturbances (71%~81%), particularly in southern, eastern and northeastern China. The increases in both GPP and NPP both accelerated after 2010. This is because that over 2001~2010, the anthropogenic NPP gains were generally offset by the negative climatic impact in southern China. However, after 2010, the climatic influence reversed, becoming positive, thus magnifying the positive impact of ecological restoration.
DOI: 10.5281/zenodo.292633
title: Data Set For Article Veto, P.,  Einhäuser, W., & Troje, N.F.  (2017). Biological Motion Distorts Size Perception. Scientific Reports, 7,  42576.

description: In this data set you find 3 files containing data from Experiments 1, 2 & 3 of Veto P, Einhauser W & Troje NF (2017) Biological motion distorts size perception. Scientific Reports, 7, 42576; doi: 10.1038/srep42576

<br>
The data are freely available for academic use only. If you use these data for a publication, please cite the aforementioned article.<br>
If you have any questions regarding the data, please do not hesitate to contact Peter Veto at vettop@gmail.com

Each row of the files contain data from one trial.<br>
Columns:

Experiment 1<br>
1 - Participant number<br>
2 - Block number<br>
3 - Trial number<br>
4 - Target orientation (1: Upright; -1: Inverted)<br>
5 - Stimulus width<br>
6 - Stimulus height<br>
7 - Response width<br>
8 - Response height

Experiment 2<br>
1-8 Same as Experiment 1<br>
9 - Condition: dynamic (1) or static (2) target

Experiment 3<br>
1 - Participant number<br>
2 - Block number<br>
3 - Trial number<br>
4 - Walker orientation<br>
(1: upper walker upright, lower walker inverted;<br>
2: upper walker inverted, lower walker upright)<br>
5 - Condition<br>
(1: upper target larger (21%) than lower target;<br>
2: upper target larger (10.5%) than lower target;<br>
3: target sizes are identical;<br>
4: lower target larger (10.5%) than upper target;<br>
5: lower target larger (21%) than upper target)<br>
6 - Inter stimulus interval (from end of walker presentation to onset of target circles)<br>
(1: 17ms; 2: 100ms)<br>
7 - Response<br>
(1: upper target was larger;<br>
2: lower target was larger)
description: Supported by the German Research Foundation, International Research Training Group, IRTG 1901, "The Brain in Action" and an NSERC Discovery grant to NFT.
DOI: 10.5281/zenodo.4256518
title: Dataset TikTok

description: Dataset Jurnal EP-B kelompok 5
DOI: 10.6084/m9.figshare.18585765
title: Additional file 2 of DENA: training an authentic neural network model using Nanopore sequencing data of Arabidopsis transcripts for detection and quantification of N6-methyladenosine on RNA

description: Additional file 2.DENA output containing m6A sites in Col-0, fip37-4 and mtb, and all nonredundant m6A sites identified across all Arabidopsis lines used in this study.
DOI: 10.1594/pangaea.846576
title: Model results in NetCDF format of North African vegetation-precipitation in early and mid-Holocene climate simulated by CCSM3-DGVM//

description: The present study analyses the sign, strength, and working mechanism of the vegetation-precipitation feedback over North Africa in middle (6 ka BP) and early Holocene (9 ka BP) simulations using the comprehensive coupled climate-vegetation model CCSM3-DGVM (Community Climate System Model version 3 and a dynamic global vegetation model). The coupled model simulates enhanced summer rainfall and a northward migration of the West African monsoon trough along with an expansion of the vegetation cover for the early and middle Holocene compared to the pre-industrial period. It is shown that dynamic vegetation enhances the orbitally triggered summer precipitation anomaly by approximately 20% in the Sahara-Sahel region (10-25° N, 20° W-30° E) in both the early and mid-Holocene experiments compared to their fixed-vegetation counterparts. The primary vegetation-rainfall feedback identified here operates through surface latent heat flux anomalies by canopy evaporation and transpiration and their effect on the mid-tropospheric African easterly jet, whereas the effects of vegetation changes on surface albedo and local water recycling play a negligible role. Even though CCSM3-DGVM simulates a positive vegetation-precipitation feedback in the North African region, this feedback is not strong enough to produce multiple equilibrium climate-ecosystem states on a regional scale.
description: Supplement to: Rachmayani, Rima; Prange, Matthias; Schulz, Michael (2015): North African vegetation–precipitation feedback in early and mid-Holocene climate simulations with CCSM3-DGVM. Climate of the Past, 11(2), 175-185
DOI: 10.5281/zenodo.268702
title: Dataset (Cryosat-2 Altimetry Data Over Brahmaputra River, River Masks, Model Cross Sections) Used In Schneider Et Al., 2017. Doi:10.5194/Hess-2016-243

description: Dataset used in

Schneider, R., Nygaard Godiksen, P., Villadsen, H., Madsen, H., Bauer-Gottwein, P., 2017. Application of CryoSat-2 altimetry data for river analysis and modelling. Hydrol. Earth Syst. Sci.rticle. doi:10.5194/hess-2016-243

The dataset contains


	CryoSat-2 satellite altimetry data over the Brahmaputra River from 2010 to 2013
	River masks, derived from Landsat NDVI imagery, used to filter the CryoSat-2 data
	Results from the cross section calibration described in Schneider et al., 2017


All data is provided as a .zip file which includes a README.txt with more details on the data.
DOI: 10.5281/zenodo.4708297
title: Data set for The influence of hydropower and coal consumption on green-house gas emissions: a comparison between China and India

description: Dataset.
DOI: 10.5281/zenodo.4515432
title: Smoke_Cholec80 - Endoscopic Smoke Detection Dataset

description: This dataset is an addition to the Cholec80 cholecystectomy dataset (https://doi.org/10.1109/TMI.2016.2593957). The archive contains mapping files for specific video segments containing <strong>smoke</strong> in various intensities and they are split up into two classes (see labels.csv): no smoke no visual signs of smoke<br> smoke smoke in various intensities The dataset altogether comprises 101054 images (50501 no smoke + 50553 smoke)<br> and the archive's subfolder cholec80_mappings is organized as follows: labels.csv mapping: label number -&gt; class<br> index.csv index linking source videos of Cholec80 with corresponding<br> mapping files. Contains video path (relative to Cholec80<br> archive), fps, mapping file path (relative to index.csv) and<br> frame counts per video for both labels.<br> videoXX.mp4.csv frame mapping for video XX: start frame, end frame, label You are kindly requested to cite the original work that led to the creation of the dataset: https://doi.org/10.1145/3126686.3126690.<br> Additionally, please adhere to the usage rights of the base dataset that was used to create these mappings, i.e. Cholec80 (http://camma.u-strasbg.fr/datasets). For the latest updates, please visit the dataset's homepage: http://ftp.itec.aau.at/datasets/Smoke_cholec80/.
description: {"references": ["Leibetseder et al.(2017), Real-Time Image-based Smoke Detection in Endoscopic Videos, https://doi.org/10.1145/3126686.3126690"]}
DOI: 10.5281/zenodo.4588774
title: PROGRAMS project. Robot controller data from Calpak-Cicero Hellas SA on 2020 Week 40

description: These data were collected from robot controller during solar tanks welding operation
DOI: 10.5281/zenodo.5029529
title: Dataset corresponding to "Comprehensive analysis of a dense sample of FRB 121102 bursts"

description: Raw dataset corresponding to publication: "Comprehensive analysis of a dense sample of FRB 121102 bursts". The dataset consists of raw filterbank format files from the two observations.
DOI: 10.5281/zenodo.5162851
title: The streamflow discharge, water chemical and isotopic data of the Binggou and Yakou catchments in 2017

description: This is the streamflow discharge, water chemical and isotopic data of the Binggou and Yakou catchments collected in 2017
DOI: 10.5281/zenodo.6840951
title: Land-use fluxes: data from global models and national inventories

description: This file includes the data from Supplementary Table 1 of Grassi et al. (ESSD, submitted), for the 42 countries having a managed forest area greater than 10 Million ha. The data includes: (i) areas of managed forest, used in this study and based on country data (ii) The CO2 fluxes (2001-2020 average) from global models - i.e. bookkeeping models (BMs) and Dynamic Global Vegetation Models (DGVMs) -, and from a collection of National GHG inventories (NGHGIs) for LULUCF, forest land, deforestation, and other fluxes (organic soils, cropland, grassland etc.). BM values are averages of three models and DGVM values are averages of 17 models, consistent with the Global Carbon Budget 2021 (https://essd.copernicus.org/articles/14/1917/2022/). Values for NGHGIs are from https://essd.copernicus.org/preprints/essd-2022-104/ For further methodological details, see Grassi et al. (ESSD, submitted): Giacomo Grassi, Clemens Schwingshackl, Thomas Gasser, Richard A. Houghton, Stephen Sitch, Josep G. Canadell, Alessandro Cescatti, Philippe Ciais, San1, Etsushi Kato, Daniel Kennedy, Jürgen Knauer, Anu Korosuo, Matthew J. McGrath, Julia Nabel, Benjamin Poulter, Simone Rossi, Anthony P. Walker, Wenping Yuan, Xu YueJulia Pongratz. Mapping land-use fluxes for 2001-2020 from global models to national inventories. ESSD (submitted)
DOI: 10.5281/zenodo.3564786
title: Contiguous SIF dataset

description: Contiguous SIF dataset created by <em>Zhang et al</em><em>.</em> [2018] Reference: Zhang, Y., Joiner, J., Alemohammad, S. H., Zhou, S., & Gentine, P. (2018). A global spatially contiguous solar-induced fluorescence (CSIF) dataset using neural networks. Biogeosciences. https://doi.org/10.5194/bg-15-5779-2018
DOI: 10.1594/pangaea.610344
title: Physical properties of sediment core PS69/878-4, Sed
DOI: 10.1594/pangaea.918234
title: Aboveground soil analysis from the Tibetan Plateau
DOI: 10.5281/zenodo.3684992
title: Single electrode EEG data of healthy and epileptic patients

description: Single electrode scalp EEG data for healthy and epileptic patients that mimics the Bonn EEG dataset. Training data has 5 healthy and 5 epilepsy patients. Each subject has 40 files containing single electrode EEG data. Test data has 10 healthy and 10 epilepsy patients. Each subject has 20 files containing single electrode EEG data. The training data for both epileptic and healthy subjects is prefixed with "Train". The letter 'E' denotes epileptic patients and 'H' denotes healthy subjects, followed by patient number, then underscore and file number. For further technical details see the following publication: Panwar, S., Joshi, S. D., Gupta, A. & Agarwal, P. Automated Epilepsy Diagnosis Using EEG with Test Set Evaluation. <em>IEEE Trans. Neural Syst. Rehabil. Eng.</em> <strong>27</strong>, 1106–1116 (2019). This is dataset #2 mentioned in the above article.
DOI: 10.5281/zenodo.4267179
title: AERA5-Asia: a new Asian precipitation dataset (0.1°, hourly, 1951-2015, Asia) in exploiting the spatiotemporal characteristics of ERA5-Land under the total volume control by APHRODITE (1981)

description: The datasets provide a long term precipitation dataset with finer quality over the Asia (0.1°, hourly, 1951-2015, Asia) for the Asian applications. Data Format: GeoTIFF Spatial Coverage: 60°E-150°E, 15°S-55°N, land.
DOI: 10.5281/zenodo.4565586
title: CryoSat-2 Antarctic Snow Freeboard Estimates

description: Along-track and gridded estimates of Antarctic snow freeboard derived from CryoSat-2 Baseline-D SAR and SARIn data from October 2018 through October 2020. Data are generated using a physical retracker and waveform-fitting method. Files include: CS2SFb_ant_25km_YYYYMM.nc: Monthly mean snow freeboard values gridded on the NSIDC 25km polar stereographic grid. Each file represents 1 month of data between October 2018 and October 2020 (25 files). CS2SFb_ant_alongtrack_YYYYMMDD.nc: Along-track estimates of Cryosat-2 snow-freeboard for two profiles with near-coincident overlaps with ICESat-2. Files come from 20181027 and 20190902.
DOI: 10.5281/zenodo.5652257
title: Daily 1-km gap-free AOD grids in China, v1 (2000–2020)

description: A Long-term Gap-free High-resolution Air Pollutants concentration dataset (abbreviated as LGHAP) is of great significance for environmental management and earth system science analysis. In the current release of LGHAP aerosol dataset (LGHAP.v1), we provide a 21-year-long (2000–2020) gap free AOD product with daily 1-km resolution covering the land area of China. The dataset was generated via a seamless integration of the tensor flow based multimodal data fusion with ensemble learning based knowledge transfer in statistical data mining. The proposed method transformed a set of data tensors of AOD and other related datasets such as air pollutants concentration and atmospheric visibility that were acquired from diversified sensors or platforms via integrative efforts of spatial pattern recognition for high dimensional gridded data analysis toward data fusion and multiresolution image analysis. The daily gap free AOD was provided in the NetCDF format, while data in each individual year were archived in a zip file. Python, Matlab, R, and IDL codes were also provided to help users read and visualize the LGHAP data.
DOI: 10.5281/zenodo.4656664
title: Kaggle Wikipedia Web Traffic Weekly Dataset

description: This is the aggregated version of the daily dataset used in the Kaggle Wikipedia Web Traffic forecasting competition. It contains 145063 time series representing the number of hits or web traffic for a set of Wikipedia pages from 2015-07-01 to 2017-09-05, after aggregating them into weekly. The original dataset contains missing values. They have been simply replaced by zeros before aggregation.
description: {"references": ["Google, 2017. Web traffic time series forecasting. URL https://www.kaggle.com/c/web-traffic-time-series-forecasting"]}
DOI: 10.5281/zenodo.5115864
title: CLDF dataset derived from Beijing University's "Chinese Dialect Vocabularies" from 1964

description: Cite the source of the dataset as: Běijīng Dàxué 北京大学 (1964): Hànyǔ fāngyán cíhuì 汉语方言词汇 [Chinese dialect vocabularies]. Beijing: Wenzi Gaige.
DOI: 10.5281/zenodo.4288388
title: 1 km Monthly Precipitation Dataset for China from 1952 to 2019 (ChinaClim_timeseries)

description: ChinaClim_timeseries is a monthly temperatures and precipitation dataset in China for the period of 1952-2019 of 1km spatial resolution, the data was generated by superimposing monthly anomaly surface and baseline climatology surface (ChinaClim_baseline) based on climatologically aided interpolation (CAI). The scale factor of the data is 0.1.
DOI: 10.5281/zenodo.5919441
title: 1 km Monthly Precipitation Dataset for China from 1952 to 2019 (ChinaClim_time-series)

description: ChinaClim_time-series is a monthly temperatures and precipitation dataset in China for the period of 1952-2019 of 1km spatial resolution, the data was generated by superimposing monthly anomaly surface and baseline climatology surface (ChinaClim_baseline) based on climatologically aided interpolation (CAI). The scale factor of the data is 0.1.
DOI: 10.1594/pangaea.809476
title: (Table 1) White ice and melt pond characteristics in Darnley and Franklin Bay, Canada

description: Melt pond covered sea ice is a ubiquitous feature of the summertime Arctic Ocean when meltwater collects in lower-lying areas of ice surfaces. Horizontal transects were conducted during June 2008 above and below landfast sea ice with melt ponds to characterize surface and bottom topography together with variations in transmitted spectral irradiance. We captured a rapid progression from a highly flooded sea ice surface with lateral drainage toward flaws and seal breathing holes to the formation of distinct melt ponds with steep edges. As the mass of the ice cover decreased due to meltwater drainage and rose upward with respect to the seawater level, the high-scattering properties of ice above the water level (i.e., white ice) were continuously regenerated, while pond waters remained transparent compared to underlying ice. The relatively stable albedos observed throughout the study, even as ice thickness decreased, were directly related to these surface processes. Transmission through the ice cover of incident irradiance in the 400-700 nm wave band ranged from 38% to 67% and from 5% to 16% beneath ponded and white ice, respectively. Our results show that this transmission varied not only as a function of surface type (melt ponds or white ice) areal coverage but also in relation to ice thickness and proximity to other surface types through the influence of horizontal spreading of light. Thus, in contrast to albedo, this implies that regional transmittance estimates need to consider melt pond size and shape distributions and variations in optical properties and thickness of the ice cover.
description: Data extracted in the frame of a joint ICSTI/PANGAEA IPY effort, see http://doi.pangaea.de/10.1594/PANGAEA.150150
description: Supplement to: Ehn, Jens K; Mundy, Christopher John; Barber, David G; Hop, Haakon; Rossnagel, Andrea L; Stewart, Jeremy (2011): Impact of horizontal spreading on light propagation in melt pond covered seasonal sea ice in the Canadian Arctic. Journal of Geophysical Research: Oceans, 116, C00G02