cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3463690
title: ai-matrix NCF

description: Large files in ai-matrix.
DOI: 10.57760/sciencedb.18211
title: Biome scores and annual mean temperature data of Dasongping section and Paleoelevation data of Diancang Shan
title: Biome scores and annual mean temperature data of Dasongping section and Paleoelevation data of Diancang Shan

description: This data table includes 31 records of Biome scores and annual mean temperature (ANNT), 32 sediment accumulation rate (SAR) data, 197 PIA (plagioclase index of alteration) data, 84 carbonate/quartz ratio data, mean ANNT and paleoelevation data.
description: This data table includes 31 records of Biome scores and annual mean temperature (ANNT), 32 sediment accumulation rate (SAR) data, 197 PIA (plagioclase index of alteration) data, 84 carbonate/quartz ratio data, mean ANNT and paleoelevation data.
DOI: 10.5281/zenodo.3463718
title: ai-matrix SSD_VGG16_Caffe

description: Large files in ai-matrix.
DOI: 10.5281/zenodo.6374291
title: Software and data release for Fermi Pulsar Timing Array

description: The archive include photon data from the Fermi Large Area Telescope, processed to enable its use for pulsar timing. It includes Python code for performing pulsar timing using Poisson likelihood and for producing pulse time-of-arrival measurements. It further includes code and scripts for constraining noise processes in the data, including the a signal from the nanohertz gravitational wave background. See README for more information.
DOI: 10.5281/zenodo.1490658
title: Knowledge Base For Rice Plant Disease Diagnosis

description: This dataset describes symptoms, disease, and their relationships in rice plant disease.
description: East Kalimantan-Indonesia
DOI: 10.5281/zenodo.883751
title: Vela Pulsar Observation Files Mjd 57985

description: Files:


	579859820.dat (PRESTO time series format)
	579859820.inf (PRESTO time series format header)
	579859820.png (image of result of PRESTO 'prepfold' processing)
	579859820.ps (postscript result of PRESTO 'prepfold' processing)
	579859820.tim (SIGPROC time series format)
	579859820.prof (pulse profile output file of SIGPROC 'fold' processing)
	579859820.prof.png (image of pulse profile output file of SIGPROC 'fold' processing displayed in a spreadsheet)
	579859820.txt (information for processing command-line parameters)


Observation Parameters


	Vela pulsar nominal topocentric period = 0.0893969312 seconds.
	Observation Start Time = MJD 57985.9820
	Duration = 120 minutes
	Frequency = 436 MHz
	Bandwidth = 2.4 MHz
	Antenna: 42-element circularly-polarised crossed Yagi (nominal gain 19 dBi)
	Location: 33.567 S, 150.745 E (Hawkesbury Radio Astronomy Observatory)
DOI: 10.5281/zenodo.3463689
title: ai-matrix Faster_RCNN

description: Large files in ai-matrix.
DOI: 10.5281/zenodo.3463684
title: ai-matrix DSSD

description: Large files in ai-matrix.
DOI: 10.5281/zenodo.2555732
title: Microplastic

description: This FTIR hyperspectral image shows an environmental plankton sample which has been spiked with microplastics in the size range between 10 and 200 µm. The added particles are one of the following polymer types:


	polyethylene
	polypropylene
	polystyrene
	poly(methyl methacrylate)
	polyacrylonitrile


This hyperspectral image has been used as a source for training data for the creation of random decision forest classifiers. For a closer description of the dataset and the sample preparation see Hufnagl <em>et al.</em> (2019).

 

If you reuse this dataset please cite

 

Hufnagl, B., Steiner, D., Renner, Löder, M. G. J., Laforsch, C. and Lohninger, H. <em>A Methodology for the Fast Identification and Monitoring of Microplastics in</em><em> Environmental Samples using Random Decision Forest Classifiers,</em> Analytical Methods, 2019, DOI:10.1039/C9AY00252A
description: Funding was provided by Deutsche Forschungsgemeinschaft (DFG) –project number 391977956–SFB 135 and the German Federal Ministry of Education and Research (project PLAWES, grant 03F0789A
description: {"references": ["Hufnagl, B., Steiner, D., Renner, L\u00f6der, M. G. J., Laforsch, C. and Lohninger, H. A Methodology for the Fast Identification and Monitoring of Microplastics in Environmental Samples using Random Decision Forest Classifiers, Analytical Methods, 2019, DOI:10.1039/C9AY00252A"]}
DOI: 10.5281/zenodo.1198671
title: Raw

description: This is the system which uses raw speech .
DOI: 10.57760/sciencedb.06971
title: A dataset of surface evapotranspiration estimates in the plain area of the Aral Sea basin (1985-2016)
title: 咸海流域平原区遥感蒸散发数据集（1985-2016年）

description: Evapotranspiration in the plain area of Aral Sea watershed from 1985 through 2016 was retrieved using systematic biological/meteorological dataset and Landsat serial images. This evapotranspiration dataset includes 5 time serial frames (1985-1989, 1990-1994, 1995-1999, 2010-2011 and 2013-2016). The spatial resolution of ET is 30m×30m.On the instantaneous time scale in our study, a set of observation data in field scale (eddy covariance system ) was used to verify ET. The result shows that the quality of the adjustment is 0.8 and the mean square error is 0.14 mm. Mean average annual evapotranspiration in the plain area of Aral Sea watershed is 270 mm (±18 mm). The evapotranspiration of desert ecosystem is 171 mm (±7 mm). The evapotranspiration of oasis/farmland ecosystem is 1101 mm (±67 mm).
description: Evapotranspiration in the plain area of Aral Sea watershed from 1985 through 2016 was retrieved using systematic biological/meteorological dataset and Landsat serial images. This evapotranspiration dataset includes 5 time serial frames (1985-1989, 1990-1994, 1995-1999, 2010-2011 and 2013-2016). The spatial resolution of ET is 30m×30m.On the instantaneous time scale in our study, a set of observation data in field scale (eddy covariance system ) was used to verify ET. The result shows that the quality of the adjustment is 0.8 and the mean square error is 0.14 mm. Mean average annual evapotranspiration in the plain area of Aral Sea watershed is 270 mm (±18 mm). The evapotranspiration of desert ecosystem is 171 mm (±7 mm). The evapotranspiration of oasis/farmland ecosystem is 1101 mm (±67 mm).
DOI: 10.1594/pangaea.922960
title: Magnetite and ilmenite analyses of plutonic rocks from Maronia and Kassiteres, NE Greece
DOI: 10.5281/zenodo.4725575
title: English Wikipedia citations with possible SemanticScholar URLs as found by Unpaywall and OAbot

description: Dump of 26025 JSON files each containing one or more URL suggestions for the citations of one English Wikipedia article, of which at least one being a SemanticScholar URL for a green open access copy of an academic work. Compiled between December 2020 and April 2021 with Dissemin's OAbot, using various API sources but mostly Unpaywall data.
description: Citation data is thought to be copyright ineligible. Unpaywall data is CC-0 and embeds various sources. Dissemin data contains data from BASE Search and other sources which are not explicitly CC-0. Individual strings inside citation data may be copyright eligible and subject to the Wikimedia wikis terms of use, being copyright their respective authors, CC-BY-SA 3.0. See the history of each page on en.wikipedia.org at the title contained in the JSON filename (with any "#" replaced by "/").
DOI: 10.5281/zenodo.5157643
title: Dynamic Evolution of Changbaishan Volcanism in Northeast China Illuminated by Machine Learning

description: <strong>This dataset is for our work entitled "<em>Dynamic Evolution of Changbaishan Volcanism in Northeast China Illuminated by Machine Learning</em>".</strong> <strong>This dataset includes: 1) The Cenozoic basalts in Changbaishan area used for predicting, 2) The IAB (Island Arc Basalts) and OIB (Ocean Island Basalts) samples used for training machine learning models.</strong>
DOI: 10.5281/zenodo.1442732
title: MOD17A2H version 6 Gross Primary Productivity (GPP) global mosaics at 500 m resolution and difference 2000-2017

description: MOD17A2H version 6 Gross Primary Productivity (GPP) global mosaics at 500 m resolution and difference in GPP for the period 2000-2017. Changes in GPP could be used to estimate land degradation or similar. Derived using the data.table package and quantile function in R. For more info about the MODIS LST product see: https://lpdaac.usgs.gov/dataset_discovery/modis/modis_products_table/mod17a2h_v006. Antartica is not included. If you discover a bug, artifact or inconsistency in the maps, or if you have a question please use some of the following channels: Technical issues and questions about the code: https://gitlab.com/openlandmap/global-layers/issues General questions and comments: https://disqus.com/home/forums/landgis/ All files internally compressed using "COMPRESS=DEFLATE" creation option in GDAL. File naming convention: veg = theme: vegetation, gpp = variable: gross primary productivity in kg C m<sup>2</sup>, mod17a2h.oct = determination method: MOD17A2H product, GPP values for October, d = median value / difference = difference between periods / u.975 = aggregation/statistics method: 97.5% probability upper quantile, 500m = spatial resolution / block support: 500 m, s0..0cm = vertical reference: land surface, 2000..2017 = time reference: from 2000 to 2017, v1.0 = version number: 1.0,
description: {"references": ["Running, S., Mu, Q., Zhao, M. (2015). MOD17A2H MODIS/Terra Gross Primary Productivity 8-Day L4 Global 500m SIN Grid V006 [Data set]. NASA EOSDIS Land Processes DAAC. doi: 10.5067/MODIS/MOD17A2H.006"]}
DOI: 10.5281/zenodo.4897859
title: Borg et al. Frontiers in Built Environment

description: Open dataset of: Ruben Paul Borg, Estefania Cuenca, Roberto Garofalo, Fabrizio Schillani, Milena Lozano Nasner, & Liberato Ferrara. (2021). <em><strong>Performance Assessment of Ultra-High Durability Concrete Produced From Recycled Ultra-High Durability Concrete</strong></em>. Frontiers in Built Environment, 7:648220. http://doi.org/10.3389/fbuil.2021.648220
description: {"references": ["Performance Assessment of Ultra-High Durability Concrete Produced From Recycled Ultra-High Durability Concrete [dataset]"]}
DOI: 10.5281/zenodo.6544527
title: AI Ethics

description: This repository contains datasets to support our paper titled <code>The Different Faces of AI Ethics Across the World: A Principle-Implementation Gap Analysis</code> submitted to IEEE Transactions on Artificial Intelligence.
DOI: 10.57760/sciencedb.02752
title: WeChat texts of reading promotion activities released by 13 public libraries
title: 公共图书馆阅读推广类微信推文

description: The WeChat texts of reading promotion activities released by 13 regional libraries in Hubei during 2020.
description: 湖北地区13所地市图书馆在2020年闭馆期间发布的1266条微信阅读推广活动文本。
DOI: 10.5281/zenodo.5834819
title: AI tutorial data

description: Preprocessing demo
DOI: 10.5281/zenodo.178903
title: Supplement of manuscript TEJP-2014-0106 ( http://doi.org/10.1080/09670262.2015.1077395 )

description: This folder contains analysis data from the study published as Article (Manuscript ID TEJP-2014-0106):

TITLE: RNA and DNA based assessment of sea ice protist biodiversity of the central Arctic Ocean.

AUTHORS: Anique Stecher, Stefan Neuhaus, Benjamin Lange, Stephan Frickenhaus, Bánk Beszteri, Peter Kroth and Klaus Valentin

JOURNAL: The European Journal of Phycology MS-ID: TEJP-2014-0106

 

List of Files:

Description: Filename

-------------------------------------------------------------------------------------------------------------------------

QIIME-ZIP archive from the QZIP-pipeline: CompArc_combined_20140218_092318.zip

( QZIP-Summary can be found in index.htm )

Biome Table from QZIP: Otu_table_CompArc_RNA-DNA-combined_20140218_092318.tab

separated Biom tables: TEJP-2014-0106_Alveolata_biom.tab TEJP-2014-0106_Diatoms_biom.tab

R-scripts for producing PDFs for Figure 5: Rscript_Alveolates_TEJP-2014-0106.R Rscript_Diatoms_TEJP-2014-0106.R

Phyloassigner databases: silva111_alveolata_2504_outgroup_28.padb.zip silva111_diatoms_1390_outgroup_196.padb.zip

This README-file: README-TEJP-2014-0106.txt -------------------------------------------------------------------------------------------------------------------------

For further information on supplement data and related publications see Bioinformatics Group at AWI: http://www.awi.de/en/go/bioinformatics http://www.awi.de/People/show?sfricken and links therein.

Bremerhaven, 10/Dec/2014
DOI: 10.5281/zenodo.3902180
title: Lightning activity and its associations with cloud structures in a rainstorm dominated by warm precipitation

description: It is the data associated with the figures in the paper titiled " Lightning activity and its associations with cloud structures in a rainstorm dominated by warm precipitation " which is being in the process of submission. The following is the abstract of this paper. Lightning activity and its associations with cloud structures during a rainstorm dominated by warm cloud precipitation were studied in Guangdong, China on May 7, 2017, using three-dimensional lightning location and polarimetric radar data. The overall convection and lightning activities of the rainstorm were weak. The rainstorm generally showed a typical tripolar charge structure with the main negative charge core located between the −15 and −8 °C environmental isotherms in the first 4 h. The height of the charge regions clearly decreased after this period, with the main negative charge core being below the –8 °C isotherm. Lightning discharges were more concentrated in areas featuring relatively weak convection and relatively low precipitation intensity. Most of the locations with lightning discharges were dominated by dry aggregated snow and weak updrafts and downdrafts. This investigation demonstrated that the lightning discharges were spatially separated from the area of origin of charging in this rainstorm. It is proposed that, with weak convection in the rainstorm, the charging rate was lower than the speed of charge transfer from the area of origin, causing a relatively low charge density and a low frequency of lightning in the area of origin of charging. Meanwhile, the aggregation of small charged particles in regions away from the area of origin of charging might be conducive to the formation of a relatively high charge density and therefore relatively frequent lightning flashes. This situation is different from a typical thunderstorm with strong convection.
DOI: 10.5281/zenodo.4569496
title: Data for Developmental cell programs are co-opted in inflammatory skin disease - filtered, annotated anndata object

description: Dataset to accompany BioRxiv preprint "Poised cell circuits in human skin are activated in disease" (https://www.biorxiv.org/content/10.1101/2020.11.05.369363v1). Data in AnnData (h5ad) format. Preprocessed to exclude doublets and low quality cells (&lt;200 genes and &gt;20% mitochondrial content). Healthy.h5ad includes neighborhood graph and UMAP coordinates and annotation from the manuscript in figure 1B. Full dataset with annotation ("combined") in obs.
description: This has been updated - the previous version had multiple old annotations that are no longer in use,
DOI: 10.5281/zenodo.4580373
title: Dataset of the indoor 40GHz mmWave measurement

description: The dataset includes the data of LOS scenario and NLOS scenario separately. The raw data relates to TX signal, RX signal, reference signal, CIR, CFR, pathloss, shadow fading, PDP, first arrival delay, RMS delay spread, average delay, arrival separation, coherence bandwidth. The statistical data includes STD of shadow fading and arrival rate.
DOI: 10.5281/zenodo.3463678
title: ai-matrix CNN_Caffe

description: Large files in AI Matrix.
DOI: 10.5281/zenodo.4256517
title: Dataset TikTok

description: Dataset Jurnal EP-B kelompok 5
DOI: 10.5281/zenodo.3521072
title: ai-matrix BERT_PyTorch

description: ai-matrix BERT_PyTorch pretrained model, converted from TensorFlow model, <strong>uncased_L-24_H-1024_A-16</strong>
DOI: 10.5281/zenodo.4318149
title: Selected BATSRUS MHD output data and IE solver data for August 3, 2016

description: This is a dataset for BATSRUS MHD model output and IE module output used to prepare Figures 2, 3, 4 for a second submission to GRL of a paper by A. M. Keese, N. Buzulukova, C. Mouikis and E. E. Scime "Mesoscale structures in Earth's magnetotail observed using energetic neutral atom imaging". The dataset has one file in .zip format. The file BATSRUS_IE_data_Fig2_3_4.zip contains the data for plotting BATSRUS results and IE module results for the Figures 2, 3, 4. Figure 2: file Fig2_imf_BATSRUS_input.dat has solar wind data used as an input to BATSRUS run.<br> file Fig2_ae_index.dat has model AU and AL indices Figure 3: files Fig3* are standard output files for IE module (ASCII) and could be plotted with spacepy package. Figure 4: file Fig4_BATSRUS_3D_0520UT_nx300_ny150_nz150.csv has 3D output from BATSRUS interpolated to a regular grid (nx=300, ny=150, nz=150) required to plot Figure 4. The Figure 4 could be reproduced with ParaVew free 3D plotting software.
DOI: 10.5281/zenodo.3553163
title: HCP Streamline Dataset (899855)

description: The dataset contains the processed stereamlines for HCP data ID: 899885, with 72 pre-defined bundle types.
DOI: 10.5281/zenodo.4313853
title: Functional crosstalk between phosphorylation and disease-causing mutations in the cardiac sodium channel Nav1.5

description: Source data underlying Figs 1b, 2b-c, 3b-c, 4a-d, and Supplementary Fig 1b-c
DOI: 10.5281/zenodo.5769957
title: SciCheck

description: This archive contains AI-KG with additional 300K triples used in the paper "Completing Scientific Facts in Knowledge Graphs of Research Concepts", accepted in IEEE Access.
DOI: 10.5281/zenodo.4617664
title: Raw Data for the article: Radiation exposure during transjugular intrahepatic portosystemic shunt creation in patients with complete portal vein thrombosis or portal cavernoma

description: <strong>Background: </strong>This study aims to evaluate radiation exposure in patients with complete portal vein thrombosis (CPVT) or portal cavernoma (PC) undergoing transjugular intrahepatic portosystemic shunt (TIPS) creation using real-time ultrasound guidance for portal vein targeting. <strong>Materials and methods: </strong>This is a single institution retrospective analysis. Between August 2009 and September 2018, TIPS was attempted in 49 patients with CPVT or PC. Radiation exposure (dose area product [DAP], air KERMA (AK) and fluoroscopy time [FT]), technical success, clinical success, complications and survival were analyzed. <strong>Results: </strong>In total, 29 patients had CPVT and 20 patients had PC. 41/49 patients had cirrhosis. TIPS indications were refractory ascites (n = 25), variceal bleeding (n = 16) and other (n = 8). TIPS was successfully placed in 94% (46/49) of patients via a transjugular approach alone (n = 40), a transjugular/transhepatic approach (n = 5) and a transjugular/transsplenic approach (n = 1). Median DAP was 261 Gy * cm<sup>2</sup> (range 29-950), median AK was 0.2 Gy (range 0.05-0.5), and median FT was 28.2 min (range 7.7-93.7). Mean portosystemic pressure gradient decreased from 16.8 ± 5.1 mmHg to 7.5 ± 3.3 mmHg (P &lt; 0.01). There were no major procedural complications. Overall clinical success was achieved in 77% of patients (mean follow-up of 21.1 months). Encephalopathy was observed in 16 patients (34%), grade II-III encephalopathy in 7 patients (15%). TIPS revision was performed in 15 patients (32%). Overall survival rate was 75%. <strong>Conclusion: </strong>In our experience, the use of real-time ultrasound guidance allowed the majority of the TIPS to be performed via a transjugular approach alone with a reasonably low radiation exposure considering the high technical difficulties of the selected cohort of patients with CVPT or PC.
DOI: 10.5281/zenodo.5834556
title: AI tutorial data

description: Preprocessing demo
DOI: 10.5281/zenodo.61348
title: Supplementary Dataset S8 for publication "Universality in human cortical folding in health and disease"

description: The data sources and method of extracting the data are described in the publication "Universality in human cortical folding in health and disease". PNAS 2016 2019 update: The matlab code for extraction of relevant variables from Freesurfer subjects is now published on Zenodo and Github.
description: Data sources We used four publicly available datasets in this study. The HCP dataset has been obtained from 500 subjects release from the Human Connectome Project (www.humanconnectome.org). Data were provided in part by the Human Connectome Project, WU-Minn Consortium (Principal Investigators: David Van Essen and Kamil Ugurbil; 1U54MH091657) funded by the 16 NIH Institutes and Centers that support the NIH Blueprint for Neuroscience Research; and by the McDonnell Center for Systems Neuroscience at Washington University. The OASIS data has been obtained from the Open Access Series of Imaging Studies project (www.oasis-brains.org). We used the cross-sectional dataset, and only included the subset of healthy subjects. OASIS project was supported by P50 AG05681, P01 AG03991, R01 AG021910, P50 MH071616, U24 RR021382, R01 MH56584. The NKI data has been obtained from Nathan Kline Institute (NKI) Rockland Sample (http://fcon_1000.projects.nitrc.org/indi/pro/nki.html), where funding for key personnel was provided in part by the New York State Office of Mental Health and Research Foundation for Mental Hygiene. Additional project support provided by the NKI Center for Advanced Brain Imaging (CABI), the Brain Research Foundation (Chicago, IL), the Stavros Niarchos Foundation, and NIH grant P50 MH086385-S1. The ADNI data has been obtained from the Alzheimer's Disease Neuroimaging Initiative (http://adni.loni.usc.edu/). Data collection and sharing for the ADNI project was supported by ADNI (National Institutes of Health Grant U01 AG024904). We included subjects from ADNI1, ADNI GO, and ADNI2, and selected all 3T sessions. For all subjects we only included one scan point (first 3T scan), to be consistent with the previous three cross-sectional datasets. We also only included the healthy controls and the Alzheimer's patients in this study. As we only used publicly available datasets, no informed consent procedure was required. We confirm that we complied with all the data usage policies of each of the datasets we used. A general ethical approval was granted by Newcastle University to carry out the described research under the reference number 1186/2015.
DOI: 10.5281/zenodo.3626120
title: JRA55-do wave simulation using WAVEWATCH III from 1982-2015

description: This data set includes modeled significant wave height and ustar driven by the JRA55-do atmospheric reanalysis product (Tsujino et al. (2018) 'JRA-55 based surface dataset for driving ocean-sea-ice models (JRA55-do)'). The fields are originally created for an application for predicting sea-state dependent air-sea gas transfer velocities, and therefore have been remapped to the pCO2 spatial grid of Landschutzer et al. (2016) for the same time frame ('Decadal variations and trends of the global ocean carbon sink'). The wave height is simulated using NOAA's WAVEWATCH-III surface model on the native JRA55-do grid with the JRA55-do wind input and model simulated monthly sea-ice data. The ustar fields assume neutral stability and use the COARE3.5 algorithm (Edson et al., 2013) to diagnose the stress. For more information on the wave simulation or to inquire about accessing wave data on the native grid and/or for the extended JRA55 time period please contact the author.
DOI: 10.5281/zenodo.5906119
title: tomato tissue transcriptome

description: tomato tissue transcriptome
DOI: 10.5281/zenodo.48478
title: C1 Cage Preview Sequence Run 150519_M00528_0125_000000000-Acuab

description: Sequence data (Illumina MiSeq run 150519_M00528_0125_000000000-ACUAB) for the public preview of the C1 CAGE technology.
DOI: 10.5281/zenodo.3463685
title: ai-matrix DSSD

description: Large files in ai-matrix.