cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive19854.20170425.1
title: Myxococcus fulvus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive19855.20170425.1
title: Myxococcus fulvus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive19856.20170425.1
title: Myxococcus fulvus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive19857.20170425.1
title: Myxococcus fulvus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive19858.20170425.1
title: Myxococcus fulvus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive19859.20170425.1
title: Myxococcus fulvus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive20741.20170425.1
title: Nannocystis exedens

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive20742.20170425.1
title: Nannocystis exedens

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive20743.20170425.1
title: Nannocystis exedens

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive20744.20170425.1
title: Nannocystis exedens

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive20745.20170425.1
title: Nannocystis exedens

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive20746.20170425.1
title: Nannocystis exedens

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive21562.20170425.1
title: Nannocystis exedens

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive21563.20170425.1
title: Sorangium cellulosum

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive21564.20170425.1
title: Nannocystis exedens

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive21565.20170425.1
title: Sorangium cellulosum

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive21566.20170425.1
title: Nannocystis exedens

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.6084/m9.figshare.14820919.v1
title: Additional file 4 of Transcriptome analysis reveals Vernalization is independent of cold acclimation in Arabidopsis

description: Additional file 4: Table S4. DEGs in ERF, LTI and SCC networks.
DOI: 10.24403/jp.1328727
title: Scheller, H.: Flora von Coburg : Die Farn- und Blütenpflanzen des Coburger Landes. - Schriftenreihe: Natur-Museum Coburg, Sonderband 5. - (Jahrbuch der Coburger Landesstiftung, 1989) / [rezensiert von] L. Meinunger
DOI: 10.24403/jp.1328731
title: Haussknecht’s bryologische Tätigkeiten / Hans-Joachim Zündorf
DOI: 10.6084/m9.figshare.25163312.v3
title: <b>Prediction of laterite strength and compaction characteristics from index properties using ANN, GPR, and MLR</b>

description: The suitability of laterite for engineering constructions depends largely on the extensive examination of its compaction and strength characteristics but this is lacking these days due to their cumbersome, costly and time-consuming laboratory tests unlike index properties with cheap and simple tests. To overcome this limitation, artificial neural network (ANN), Gaussian process regression (GPR), and multilinear regression (MLR)models have been developed in this study to predict laterite compaction and strength characteristics from the index properties. To achieve this, laboratory tests were conducted on three hundred samples taken from thirty different laterite deposits within southwest, Nigeria and the experimental dataset obtained was randomly divided into modeling dataset comprising two hundred and forty data points which were used to develop the models and trialing dataset with sixty data points which were used to compare and validate the developed models. Specific gravity (SG), linear shrinkage (LS), liquid limit (LL), plasticity index (PI), and fines content (FC) were selected as the models’ predictors while maximum dry density (MDD), optimum moisture content (OMC) and unconfined compressive strength (UCS) are the targeted output. The developed models’ performances were appraised using various prediction performance metrics and based on this, ANN and GEP models provided satisfactory performance with ANN models taking the lead while MLR models presented poor performance. Hence, the developed ANN and GPR models can be used for practical purpose. The sensitivity analysis was conducted, and the analysis revealed that SG has the greatest influence on MDD and UCS while LS has the greatest influence on OMC.
DOI: 10.24403/jp.1328737
title: Laux, H. E.: Geschützte und bedrohte Pflanzen. - Stuttgart : Wissenschaftliche Verlagsgesellschaft, 1988 / [rezensiert von] H. Manitz
DOI: 10.6084/m9.figshare.25205159
title: Evaluating keratometry and corneal astigmatism data from biometers and anterior segment tomographers and mapping to reconstructed corneal astigmatism

description: This minimal dataset supports the vector analytical study on corneal astigmatic power vectors derived with different anterior segment tomographers
DOI: 10.24403/jp.1329153
title: Scholz, H. u. Scholz, I.: Die Brandpilze Deutschlands (Ustilaginales). - Berlin-Dahlem : Botanischer Garten und Botanisches Museum, 1988 / [rezensiert von] G. Hirsch
DOI: 10.24403/jp.1329163
title: Die kartographischen Leistungen Haussknecht’s auf seinen Orientreisen / Rudolf Habel
DOI: 10.6084/m9.figshare.23731536
title: data_s1_64.mat

description: EEG data for subject_1 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.23731536.v1
title: data_s1_64.mat

description: EEG data for subject_1 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.23731539
title: data_s2_64.mat

description: EEG data for subject_2 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.23731539.v1
title: data_s2_64.mat

description: EEG data for subject_2 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.23731542
title: data_s3_64.mat

description: EEG data for subject_3 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.23731542.v1
title: data_s3_64.mat

description: EEG data for subject_3 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.23731545
title: data_s5_64.mat

description: EEG data for subject_5 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.23731545.v1
title: data_s5_64.mat

description: EEG data for subject_5 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.23731548
title: data_s7_64.mat

description: EEG data for subject_7 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.23731551.v1
title: data_s4_64.mat

description: EEG data for subject_4 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.23731554.v1
title: data_s8_64.mat

description: EEG data for subject_8 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.23731548.v1
title: data_s7_64.mat

description: EEG data for subject_7 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.23731551
title: data_s4_64.mat

description: EEG data for subject_4 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.23731557
title: data_s6_64.mat

description: EEG data for subject_6 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.23731554
title: data_s8_64.mat

description: EEG data for subject_8 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.23731557.v1
title: data_s6_64.mat

description: EEG data for subject_6 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.23731563.v1
title: data_s9_64.mat

description: EEG data for subject_9 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.23731563
title: data_s9_64.mat

description: EEG data for subject_9 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.23731566.v1
title: data_s12_64.mat

description: EEG data for subject_12 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.23731569
title: data_s15_64.mat

description: EEG data for subject_15 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.23731569.v1
title: data_s15_64.mat

description: EEG data for subject_15 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.23731566
title: data_s12_64.mat

description: EEG data for subject_12 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.23731572.v1
title: data_s10_64.mat

description: EEG data for subject_10 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.23731572
title: data_s10_64.mat

description: EEG data for subject_10 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.23731575
title: data_s11_64.mat

description: EEG data for subject_11 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.23731578
title: data_s13_64.mat

description: EEG data for subject_13 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.23731578.v1
title: data_s13_64.mat

description: EEG data for subject_13 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.23731581
title: data_s14_64.mat

description: EEG data for subject_14 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.23731581.v1
title: data_s14_64.mat

description: EEG data for subject_14 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.24904317.v1
title: data_s16_64.mat

description: EEG data for subject_16 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.23731575.v1
title: data_s11_64.mat

description: EEG data for subject_11 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.24904317
title: data_s16_64.mat

description: EEG data for subject_16 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.24904338.v1
title: data_s18_64.mat

description: EEG data for subject_18 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.24904338
title: data_s18_64.mat

description: EEG data for subject_18 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.24904341
title: data_s22_64.mat

description: EEG data for subject_22 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.24904344
title: data_s20_64.mat

description: EEG data for subject_20 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.24904344.v1
title: data_s20_64.mat

description: EEG data for subject_20 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.24904341.v1
title: data_s22_64.mat

description: EEG data for subject_22 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.24904347
title: data_s24_64.mat

description: EEG data for subject_24 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.24904347.v1
title: data_s24_64.mat

description: EEG data for subject_24 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.24904350
title: data_s26_64.mat

description: EEG data for subject_26 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.24904353
title: data_s28_64.mat

description: EEG data for subject_28 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.24904353.v1
title: data_s28_64.mat

description: EEG data for subject_28 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.24912348
title: data_s23_64.mat

description: EEG data for subject_23 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.24912351.v1
title: data_s27_64.mat

description: EEG data for subject_27 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.24904350.v1
title: data_s26_64.mat

description: EEG data for subject_26 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.24912348.v1
title: data_s23_64.mat

description: EEG data for subject_23 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.24912351
title: data_s27_64.mat

description: EEG data for subject_27 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.24912354
title: sub021-030 (continuous EEG data)

description: Continuous EEG recordings for sub021-030 saved as a zip file.
DOI: 10.6084/m9.figshare.24912369
title: data_s25_64.mat

description: EEG data for subject_25 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.24912378.v1
title: data_s17_64.mat

description: EEG data for subject_17 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.24912354.v1
title: sub021-030 (continuous EEG data)

description: Continuous EEG recordings for sub021-030 saved as a zip file.
DOI: 10.6084/m9.figshare.24912369.v1
title: data_s25_64.mat

description: EEG data for subject_25 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.24912378
title: data_s17_64.mat

description: EEG data for subject_17 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.24912465
title: sub011-020 (continuous EEG data)

description: Continuous EEG recordings for sub 011-020 saved as a zip file.
DOI: 10.6084/m9.figshare.24912465.v1
title: sub011-020 (continuous EEG data)

description: Continuous EEG recordings for sub 011-020 saved as a zip file.
DOI: 10.6084/m9.figshare.24912486
title: data_s19_64.mat

description: EEG data for subject_19 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.24912483
title: data_s30_64.mat

description: EEG data for subject_30 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.24912483.v1
title: data_s30_64.mat

description: EEG data for subject_30 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.24912486.v1
title: data_s19_64.mat

description: EEG data for subject_19 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.24912552.v1
title: data_s29_64.mat

description: EEG data for subject_29 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.24912555
title: sub001-010 (continuous EEG data)

description: Continuous EEG recordings for sub 001-010 saved as a zip file.
DOI: 10.6084/m9.figshare.24912552
title: data_s29_64.mat

description: EEG data for subject_29 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.24913086
title: data_s21_64.mat

description: EEG data for subject_21 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.24913086.v1
title: data_s21_64.mat

description: EEG data for subject_21 saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.24913131
title: Sub_score.mat

description: Results of the user experience questionnaires completed by all participants saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.24913131.v1
title: Sub_score.mat

description: Results of the user experience questionnaires completed by all participants saved as a MATLAB MAT file
DOI: 10.6084/m9.figshare.24913134
title: Sub_score.csv

description: Results of the user experience questionnaires completed by all participants
DOI: 10.6084/m9.figshare.24913134.v1
title: Sub_score.csv

description: Results of the user experience questionnaires completed by all participants
DOI: 10.6084/m9.figshare.25092632
title: Participants_information.csv

description: Participant information is stored in a “Participants_information.csv” file, which specifically includes the label, gender, and age of each participant.
DOI: 10.6084/m9.figshare.25092629
title: Electrode_channels_information.csv

description: Electrode channel information is stored in an “Electrode_channels_information.csv” file, which contains the name, index, angle in polar coordinates, and radius in polar coordinates for each channel.
DOI: 10.6084/m9.figshare.25092632.v1
title: Participants_information.csv

description: Participant information is stored in a “Participants_information.csv” file, which specifically includes the label, gender, and age of each participant.
DOI: 10.6084/m9.figshare.25092674
title: Dataset description

description: A zip file called "Description" contains this detailed description of the dataset.
DOI: 10.6084/m9.figshare.25092674.v1
title: Dataset description

description: A zip file called "Description" contains this detailed description of the dataset.
DOI: 10.6084/m9.figshare.20063862.v1
title: Additional file 5 of Combining QTL mapping and gene co-expression network analysis for prediction of candidate genes and molecular network related to yield in wheat

description: Additional file 5: Table S4. Predicted candidate genes and their information for each trait.
DOI: 10.6084/m9.figshare.20069897
title: Agricultural Crop- and Animal-specific Ammonia Emission Inventory

description: All products (crop- and animal- specific NH3 emission inventories in the time span of 1961-2018) are provided in TIFF format at a spatial resolution of 0.5 degree by 0.5 degree (latitude by longitude) at figshare. The unit is kg N yr-1, stored in two folders (cropland and livestock).
DOI: 10.5281/zenodo.10013440
title: Subglacial valleys preserved in the highlands of south and east Greenland record restricted ice extent during past warmer climates: Datasets

description: This dataset contains the following files:

mountain_glacial_valleys_2km.shp (and ancillary files: .dbf, .prj, .shx): ESRI shapefile of the subglacial valleys mapped along the southern and eastern highlands of Greenland using MODIS Mosaic of Greenland imagery and radio-echo sounding data.
mountain_glacial_limit.shp (and ancillary files: .dbf, .prj, .shx): ESRI shapefile of the interpreted palaeo-glacial valley limit along the southern and eastern highlands of Greenland based on the distribution and morphology of the mapped subglacial valleys.
ex_g5km_10ka_hy_east.nc: NetCDF file of the Parallel Ice Sheet Model output spatially variable fields for the best-fitting simulation for the eastern highlands (run at 5 km horizontal resolution for 10,000 model years).
ts_g5km_10ka_hy_east.nc: NetCDF file of the Parallel Ice Sheet Model output scalar time series for the best-fitting simulation for the eastern highlands (run at 5 km horizontal resolution for 10,000 model years).
ex_g5km_10ka_hy_south.nc: NetCDF file of the Parallel Ice Sheet Model output spatially variable fields for the best-fitting simulation for the southern highlands (run at 5 km horizontal resolution for 10,000 model years).
ts_g5km_10ka_hy_south.nc: NetCDF file of the Parallel Ice Sheet Model output scalar time series for the best-fitting simulation for the southern highlands (run at 5 km horizontal resolution for 10,000 model years).
DOI: 10.5281/zenodo.10013441
title: Subglacial valleys preserved in the highlands of south and east Greenland record restricted ice extent during past warmer climates: Datasets

description: This dataset contains the following files:

mountain_glacial_valleys_2km.shp (and ancillary files: .dbf, .prj, .shx): ESRI shapefile of the subglacial valleys mapped along the southern and eastern highlands of Greenland using MODIS Mosaic of Greenland imagery and radio-echo sounding data.
mountain_glacial_limit.shp (and ancillary files: .dbf, .prj, .shx): ESRI shapefile of the interpreted palaeo-glacial valley limit along the southern and eastern highlands of Greenland based on the distribution and morphology of the mapped subglacial valleys.
ex_g5km_10ka_hy_east.nc: NetCDF file of the Parallel Ice Sheet Model output spatially variable fields for the best-fitting simulation for the eastern highlands (run at 5 km horizontal resolution for 10,000 model years).
ts_g5km_10ka_hy_east.nc: NetCDF file of the Parallel Ice Sheet Model output scalar time series for the best-fitting simulation for the eastern highlands (run at 5 km horizontal resolution for 10,000 model years).
ex_g5km_10ka_hy_south.nc: NetCDF file of the Parallel Ice Sheet Model output spatially variable fields for the best-fitting simulation for the southern highlands (run at 5 km horizontal resolution for 10,000 model years).
ts_g5km_10ka_hy_south.nc: NetCDF file of the Parallel Ice Sheet Model output scalar time series for the best-fitting simulation for the southern highlands (run at 5 km horizontal resolution for 10,000 model years).
DOI: 10.5281/zenodo.10649455
title: Subglacial valleys preserved in the highlands of south and east Greenland record restricted ice extent during past warmer climates: Datasets

description: This dataset contains the following files:

mountain_glacial_valleys_2km.shp (and ancillary files: .dbf, .prj, .shx): ESRI shapefile of the subglacial valleys mapped along the southern and eastern highlands of Greenland using MODIS Mosaic of Greenland imagery and radio-echo sounding data.
mountain_glacial_limit.shp (and ancillary files: .dbf, .prj, .shx): ESRI shapefile of the interpreted palaeo-glacial valley limit along the southern and eastern highlands of Greenland based on the distribution and morphology of the mapped subglacial valleys.
ex_g5km_10ka_hy_east.nc: NetCDF file of the Parallel Ice Sheet Model output spatially variable fields for the best-fitting simulation for the eastern highlands (run at 5 km horizontal resolution for 10,000 model years).
ts_g5km_10ka_hy_east.nc: NetCDF file of the Parallel Ice Sheet Model output scalar time series for the best-fitting simulation for the eastern highlands (run at 5 km horizontal resolution for 10,000 model years).
ex_g5km_10ka_hy_south.nc: NetCDF file of the Parallel Ice Sheet Model output spatially variable fields for the best-fitting simulation for the southern highlands (run at 5 km horizontal resolution for 10,000 model years).
ts_g5km_10ka_hy_south.nc: NetCDF file of the Parallel Ice Sheet Model output scalar time series for the best-fitting simulation for the southern highlands (run at 5 km horizontal resolution for 10,000 model years).
DOI: 10.5281/zenodo.10649485
title: CHO'LLANISHGA QARSHI QONUNCHILIKNI TAKOMILLASHTIRISHNING AYRIM MASALALARI VA XORIJIY TAJRIBA
DOI: 10.5281/zenodo.10649486
title: CHO'LLANISHGA QARSHI QONUNCHILIKNI TAKOMILLASHTIRISHNING AYRIM MASALALARI VA XORIJIY TAJRIBA
DOI: 10.6084/m9.figshare.20063868.v1
title: Additional file 7 of Combining QTL mapping and gene co-expression network analysis for prediction of candidate genes and molecular network related to yield in wheat

description: Additional file 7: Table S6. The primer sequence for qRT-PCR and gene marker in this study.