cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6483002
title: A comprehensive and synthetic dataset for global, regional and national greenhouse gas emissions by sector 1970-2018 with an extension to 2019

description: Comprehensive and reliable information on anthropogenic sources of greenhouse gas emissions is required to track progress towards keeping warming well below 2°C as agreed upon in the Paris Agreement. Here we provide a dataset on anthropogenic GHG emissions 1970-2019 with a broad country and sector coverage. We build the dataset from recent releases from the “Emissions Database for Global Atmospheric Research” (EDGAR) for CO<sub>2</sub> emissions from fossil fuel combustion and industry (FFI), CH<sub>4</sub> emissions, N<sub>2</sub>O emissions, and fluorinated gases and use a well-established fast-track method to extend this dataset from 2018 to 2019. We complement this with information on net CO<sub>2</sub> emissions from land use, land-use change and forestry (LULUCF) from three available bookkeeping models.
description: This final version implements a minor change to the region classification agreed at the IPCC WG3 plenary session: Ukraine is placed in the Eastern Europe and West-Central Asia region, and North Macedonia in the Europe region.
DOI: 10.5281/zenodo.6773261
title: HGG-oncohistones processed data

description: The sample names in this dataset match supplementary tables 1 and 2. The tarball contains 4 directories: bulk, scRNA, scATAC, scMultiome The bulk directory contains tsv files. The scRNA, scATAC and scMultiome directories contain subdirectories for each sample containing their respective processed files. See the README.md for a description of all the files.
DOI: 10.5281/zenodo.7224535
title: Energy Trade-Off and Four Extreme Human Body Types, supplementary file

description: Energy Trade-Off and Four Extreme Human Body Types, supplementary file
DOI: 10.6073/pasta/7ad4e0c85ff585199cb2a007eb291c9d
title: Data and R scripts for analyses of declines in invertebrate species from the Gulf of Maine, USA, 1997 - 2018

description: Data files and R scripts are for the analyses that are presented in an article that is under revision for Biology Communications. The title of the article is: Declines over the last two decades of five key invertebrate species found on rocky intertidal shores throughout the western North Atlantic. The three data files contain the abundances of four gastropod species and the recruitment of barnacles and mussels from 1997 to 2018, monthly temperature data from three buoys from 2001 to 2018, and pH and aragonite saturation state from 1997 to 2014. R scripts include details of Bayesian estimates for Poisson regressions of species over time, clean-up of environmental data, imputation of missing environmental data and analyses of species versus environmental parameters.
DOI: 10.6084/m9.figshare.12378302
title: Xylella fastidiosa MLST profiles and sequences

description: MLST sequences from Xylella fastidiosa present on Philaenus spumarius specimens and from almond trees infected by the bacterium in Mallorca Island, Spain
DOI: 10.6084/m9.figshare.12769841
title: Raw_data_glideosome.7z

description: All data underlying figures in the paper "Structural role of essential lightchains in the apicomplexan glideosome"
DOI: 10.6084/m9.figshare.20326380.v1
title: Dataset of drought-rewatering experiment on five subtropical tree species

description: Dataset for the manuscript <em>Embolism resistance explains mortality and recovery of five subtropical evergreen broadleaf trees to persistent drought</em>
DOI: 10.15151/esrf-es-1005335825
title: Lecture for UGA

description: An introduction about X-ray Absorption Spectroscopy will be given. The students will realize samples of CdSe or ZnSe and then will measure them and will carry out the quantitative analysis.
DOI: 10.26036/cnp0003474
title: DNBelab C Series Single-Cell demo data

description: The project includes the demo data of DNBelab C Series Single-Cell. For the analysis process, see https://github.com/MGI-tech-bioinformatics/DNBelab_C_Series_HT_scRNA-analysis-software
DOI: 10.23729/605d4a9d-187c-4083-a6eb-548193757a78
title: Hazarctic

description: Pieces of rock in glacial till which were sampled from excavations during acid sulphide soil mapping (EU project HazArctic http://projects.gtk.fi/HazArctic). Sample IDs: EN-ASBO-2021-16.6 from the Oulu district near Jäälinjärvi Pulmankijärvi 2021 from Inari. Preview dataset found at https://doi.org/10.23729/79b3286f-18ff-49ed-8645-b98b558a48d3 . To obtain data, please contact fairdata-pas@gtk.fi .
DOI: 10.2908/isoc_cicce_use
title: Utilisation des services de cloud computing, par classe de taille d’entreprise, par classe de taille d’entreprise
title: Nutzung von Cloud Computing Diensten, nach Unternehmensgrößenklassen
title: Cloud computing services by size class of enterprise
DOI: 10.6084/m9.figshare.21695075.v1
title: Supplementary Material for: Genetic Variants in Histone Modification Regions Predict Clinical Outcomes of Pemetrexed Chemotherapy in Lung Adenocarcinoma

description: <b><i>Objective:</i></b> This study was conducted to investigate the association between genetic variants in histone modification regions and clinical outcomes of PEM chemotherapy in patients with lung adenocarcinoma. <b><i>Methods:</i></b> Potentially functional SNPs were selected using integrated analysis of ChIP-seq and RNA-seq. The associations of 279 SNPs with chemotherapy response and overall survival (OS) were analyzed in 314 lung adenocarcinoma patients who underwent PEM chemotherapy. <b><i>Results:</i></b> Among the SNPs investigated, 18 were significantly associated with response to chemotherapy, while 28 with OS. Of these SNPs, rs549794A&gt;G in an enhancer which is expected to regulate the expression of <i>ribosomal protein S3</i> (<i>RPS3</i>) gene was significantly associated with both worse response to chemotherapy and worse OS (adjusted odds ratio = 0.59, 95% CI = 0.36–0.97, <i>p</i> = 0.04; adjusted hazard ratio = 1.44, 95% CI = 1.09–1.91, <i>p</i> = 0.01, respectively). Previous studies suggested that RPS3, a multi-functional protein with various extraribosomal activities, may play a role in chemotherapy resistance. Therefore, it is postulated that rs549794-induced change in the expression level of RPS3 may affect the response to PEM chemotherapy and consequently the survival outcomes in lung adenocarcinoma patients. <b><i>Conclusion:</i></b> This study suggests that genetic variants in the histone modification regions may be useful for the prediction of clinical outcomes of PEM chemotherapy in advanced lung adenocarcinoma.
DOI: 10.6084/m9.figshare.21695084
title: 韧性评价问卷数据.xlsx

description: questionnaire data
DOI: 10.5281/zenodo.6365429
title: Very high resolution Land Cover maps OAL-UK (Catterline)

description: Surface features are produced as a result of internal deformation of active landslides, and are continuously created and destroyed by the movement. The detailed mapping of the evolution of bare ground patches and vegetation cover pattern over time provides useful insights on the mass movements and the most vulnerable areas. Monitoring the evolution of the latter, in turn, could help to describe the benefits of NBS past their implementation by observing a reduction of vulnerable areas and the increase of the extent of stable vegetation as a result of the interventions.<br> The preliminary analysis of satellite data on OAL-UK was devoted to the analysis of a time series of very high resolution multispectral satellite data (&lt;1 m) in the period prior to the implementation of NBS. The goal was to explore the potential of remote sensing to describe the pattern and extent of vegetation cover and plant cover regeneration, as well as to observe the self-organisation of landslide scars - i.e. re-distribution of bare ground patches over time. The dataset includes Land Cover maps obtained by Worldview 2 satellite images acquired between 2011 and 2016 in different seasons, notably on 29 Jun 2011, 22 April 2014, 08 June 2014 and 22 Feb 2016. After the pre-processing phase, Principal Component Analysis (PCA) was applied on the pansharpened multispectral bands to reduce the dimensionality of each dataset (pansharpened multispectral bands), while retaining as much as possible its information content. (Richardson, 2009). A machine learning unsupervised classification (K-means) was applied to the first three PC found by PCA. K-means is an unsupervised classification algorithm that groups objects into k groups based on their characteristics. The mean spectral reflectance values of the samples assigned to each cluster was analyzed to identify typical spectral profiles of land features as well as eventual similarities between the classes and successively used to assign labels to the unsupervised classes. In cases of spectral similarity between two or three clusters, thy were merged in a unique class. The results of k-means classification were analyzed to define typical spectral profiles of land cover features found in OAL-UK. First, the mean and standard deviation of the spectral bands of each cluster and image were calculated and compared with spectral libraries of land features. This led to identify 11 land cover classes with typical and recurrent spectral profiles within the OAL: 1. Bare soil 2. urban materials and sea foam (uniform spectra) 3. water saturated soil 4. water logged soil/vegetation 5. vegetation (grass) 6. dense vegetation (shrubs) 7. vegetation with exposed soil 8. soil with sparse vegetation 9. mixed wet soil/vegetation 10. Water 11. Turbid Water
description: Data provided by European Space Agency
DOI: 10.5281/zenodo.6365430
title: Very high resolution Land Cover maps OAL-UK (Catterline)

description: Surface features are produced as a result of internal deformation of active landslides, and are continuously created and destroyed by the movement. The detailed mapping of the evolution of bare ground patches and vegetation cover pattern over time provides useful insights on the mass movements and the most vulnerable areas. Monitoring the evolution of the latter, in turn, could help to describe the benefits of NBS past their implementation by observing a reduction of vulnerable areas and the increase of the extent of stable vegetation as a result of the interventions.<br> The preliminary analysis of satellite data on OAL-UK was devoted to the analysis of a time series of very high resolution multispectral satellite data (&lt;1 m) in the period prior to the implementation of NBS. The goal was to explore the potential of remote sensing to describe the pattern and extent of vegetation cover and plant cover regeneration, as well as to observe the self-organisation of landslide scars - i.e. re-distribution of bare ground patches over time. The dataset includes Land Cover maps obtained by Worldview 2 satellite images acquired between 2011 and 2016 in different seasons, notably on 29 Jun 2011, 22 April 2014, 08 June 2014 and 22 Feb 2016. After the pre-processing phase, Principal Component Analysis (PCA) was applied on the pansharpened multispectral bands to reduce the dimensionality of each dataset (pansharpened multispectral bands), while retaining as much as possible its information content. (Richardson, 2009). A machine learning unsupervised classification (K-means) was applied to the first three PC found by PCA. K-means is an unsupervised classification algorithm that groups objects into k groups based on their characteristics. The mean spectral reflectance values of the samples assigned to each cluster was analyzed to identify typical spectral profiles of land features as well as eventual similarities between the classes and successively used to assign labels to the unsupervised classes. In cases of spectral similarity between two or three clusters, thy were merged in a unique class. The results of k-means classification were analyzed to define typical spectral profiles of land cover features found in OAL-UK. First, the mean and standard deviation of the spectral bands of each cluster and image were calculated and compared with spectral libraries of land features. This led to identify 11 land cover classes with typical and recurrent spectral profiles within the OAL: 1. Bare soil 2. urban materials and sea foam (uniform spectra) 3. water saturated soil 4. water logged soil/vegetation 5. vegetation (grass) 6. dense vegetation (shrubs) 7. vegetation with exposed soil 8. soil with sparse vegetation 9. mixed wet soil/vegetation 10. Water 11. Turbid Water
description: Data provided by European Space Agency
DOI: 10.25326/388
title: LIAISE_ELS-PLAN_LMD_Mobile-Lidar-station_L2

description: Time and space resolution: 8 s – 48 m
Time is local time (UTC +2). 

Log(P.R2) at 2.05 µm in arbitrary unit [a.u.]
Radial wind speed in [m/s] (2.05 µm lidar)
Temperature in [K] (0.35 µm lidar)
Specific humidity in [g/kg] (0.35 µm lidar)

Scanning device (Doppler lidar): time, azimuth, elevation
Scanning device (Raman lidar): time, azimuth, elevation

Description:
Lidar data are 3D measurements following a one-hour cycle basis:
1)	4 vertical cross section of the atmosphere close to the ground (z ~ 0-100m), range-height indicator scanning (RHI). Azimut = 26.56°; Elevation = -0.54° - 5.46°. Speed = 0.05°/s
2)	1 horizontal cross section of the atmosphere close to the ground (z~10 m), plane polar indicator (PPI). Azimut = 11.56° - 41.56°; Elevation = 0.41°, Speed = 0.1°/s
3)	4 vertical cross section of the atmosphere close to the ground (z ~ 0-100m), range-height indicator scanning (RHI). Azimut = 26.56°; Elevation = -0.54° - 5.46°. Speed = 0.05°/s
4)	The rest of the hour is dedicated to vertical measurement. 


Specific information:
21/07/19: irrigation of maize field at Preixana
21/07/21: small rain event at 1h local time
21/07/26: significant rain event
21/07/27: Raman lidar works with 20 s time averaging from 21h 21/07/26 to 9h 21/07/27 local time
21/07/28: Raman lidar works without PPI: 10 RHI with vertical measurement the rest of the time

Data processing (V1)
Raman lidar data distance and temperature/ specific humidity offset has been calibrated with respect to radiosondes profiles. Doppler lidar data time and space offset has been corrected with respect to Raman lidar data. Then Raman lidar data have been interpolated to Doppler lidar measurements (slight variation of Raman lidar time vector with respect to 8s and slight difference of space resolution with respect to Doppler lidar one). The corrections are sufficient to enable statistic calculations (variance, covariance (i.e. fluxes), higher order moments, integral scales). 
Scanning devices elevation and azimuth data have been referenced using Preixana and Bell Puig village bells and lidars altitude and latitude/longitude data. 

Recommendations: 
Caution has to be taken for the use of potential temperature gradient (electronic oscillation disturbance, bias at altitude lower than 400 m due to overlap lidar issue). Please contact LMD for further analysis. Specific humidity profile is not affected by these issues. 
The horizontal and vertical scanning measurements are prototype measurements and some discrepancies with foreseen elevation and azimuth data may happen due to failure in scanning devices control. In case ones want to use it, please check the results with LMD people in contact. In addition some lag between lidars and scanning devices data may happen and has to be corrected.
DOI: 10.25326/364
title: LIAISE_ELS-PLANS_LAERO_UHFWindProfiler-HighMode_L2

description: UHF-RADAR wind profiles at ELS-PLANS during LIAISE campaign. This Doppler radar measures wind components and other tropospheric properties from 150 m to about 4 km every 150 m with the high mode. The maximum height of measurements depends on air moisture content, and may vary from 2 k m to 9 km. This dataset corresponds to automatically quality checked and manually consolidated monthly files.
DOI: 10.5281/zenodo.7413639
title: Synchronous observation of aerosol at Mt. Hua

description: The filed observations were synchronously conducted at mountainside and mountain foot sampling sites of Mt. Hua during the period from 27 August to 17 September 2016. And we found that nitrate and ammonium exhibited distinct physicochemical behaviors in transport process. The dataset includes meteorological data and hourly PM<sub>2.5</sub>, NO<sub>2</sub> and O<sub>3</sub> mass concentrations.
DOI: 10.25326/335
title: LIAISE_IRTA-CORN_UIB_EC-20HZ_L1

description: This dataset is part of the LIAISE field campaign and contains the high frequency (20 Hz) data from the Eddy-Covariance (EC) system of a surface energy balance (SEB) station located over a corn field in Mollerussa, next to the IRTA facility. The instrument is an integrated CO2 and H2O Open-path gas analyser and 3-D sonic anemometer (IRGASON) located at 330 cm above the ground with the sensor head pointing to south (180 degrees). In addition, measurements from a thermistor T107 housed inside a passive radiation shield at 361 cm above the ground and a barometer located inside the electronic box are provided.  The canopy height of the corn field was approximately 270 cm at the end of the growing season (late July).
DOI: 10.21335/nmdc-573815973
title: Large microplankton (MicroL) FlowCam Plankton Images version_0.1

description: Work in progress (last modified 2022-04-12). Manually sorted and annotated plankton images obtained using a FlowCam VS-1 Yokogawa Fluid Imaging Technologies (camera and microscope system) equipped with a 2x objective lens and a 800µm deep non-field-of-view flowcell (magnification = 20). One pixel is 2.9730 µm. The images have been sorted into a taxonomical folder structure according to phylogeny (e.g. Family – Order – Genus - Species). This version (last modified: 2022-04-12) is incomplete in the phylogenetic organization of the folders. Plankton sizes range from 30-1000µm ABD (Area Based Diameter). The plankton samples were ½ to 1 l whole seawater analyzed without prefiltration. Both live and lugol fixed samples were imaged for this dataset, with an overweight of live samples. Samples originated from the tidal zone in Flødevigen (
DOI: 10.21335/nmdc-2102309336
title: Small microplankton (MicroS) FlowCam Plankton Images version_0.1

description: Work in progress (last modified 2022-04-06). Manually sorted and annotated plankton images obtained using a FlowCam 8400 Yokogawa Fluid Imaging Technologies (camera and microscope system) equipped with a 10x objective lens and a 100µm deep field-of-view flowcell (magnification = 100). The size of one pixel is 0.7330 µm. The images have been sorted into a taxonomical folder structure according to phylogeny (e.g. Family – Order – Genus - Species). This version (last modified: 2022-04-06) is incomplete in the phylogenetic organization of the folders. Plankton sizes range from 5-100 µm ABD (Area Based Diameter). The plankton samples were ~50 ml carefully filtered through 80 µm mesh to remove large organisms that will clog the flowsystem. Both live and lugol fixed samples were imaged for this dataset, with an overweight of live samples. Samples originated from the tidal zone in Flødevigen. This version of the dataset needs further improvement (number of images in each class) in order to train a machine learning model and apply it for the classification of real plankton samples. As a preliminary data-set it was intended to investigate machine-learning algorithms. There may be misplaced images and misannotations.
DOI: 10.21335/nmdc-1805578916
title: Mesozooplankton (MesoZ) FlowCam Plankton Images version_0.1

description: Work in progress (last modified 2022-03-31). Manually sorted and annotated mesozooplankton images obtained using a FlowCam Macro Yokogawa Fluid Imaging Technologies (camera and microscope system) equipped with a 0.5x objective lens and a 5000µm deep field-of-view flowcell (magnification = 12.5). The size of one pixel is ~9.05 µm. The images have been sorted into a taxonomical folder structure according to phylogeny (e.g. Family – Order – Genus - Species). This version (last modified 2022-03-31) is incomplete in the phylogenetic organization of the folders. Plankton sizes range from 150-3000µm ABD (Area Based Diameter). The plankton samples were WP2 plankton net hauls (180 µm mesh). Samples were fixed in 4% formaldehyde, and subsequentially diluted in freshwater during imaging. Samples originated mostly from the North-Atlantic Ocean, i.e. Norwegian Sea and North Sea. A few samples originated from Antarctica. This version of the dataset needs further improvement (number of images in each class) in order to train a machine learning model and apply it for the classification of real plankton samples. As a preliminary data-set it was intended to investigate machine-learning algorithms. There may be misplaced images and misannotations.
DOI: 10.5281/zenodo.7413354
title: Golden crucian carp detection dataset

description: Golden crucian carp detection dataset
DOI: 10.5281/zenodo.7413353
title: Golden crucian carp detection dataset

description: Golden crucian carp detection dataset
DOI: 10.5281/zenodo.6419273
title: Occupations on the map: Using a super learner algorithm to downscale labor statistics, data

description: This repository contains all the input and output data (including maps) related to Van Dijk et al. (2022), Occupations on the map: Using a super learner algorithm to downscale labor statistics. It does not contain several large (&gt; 4GB) intermediate files, which summarize the results of the large number of machine learning models that were trained and tuned as part of the super learner algorithm. These files can be created by running the scripts in the supplementary GitHub repository: https://github.com/michielvandijk/occupations_on_the_map. All input and output maps produced as part of this study can also be accessed by means of an interactive web application: https://shiny.wur.nl/occupation-map-vnm. In this paper, we demonstrated an approach to create fine-scale gridded occupation maps by means of downscaling district-level labor statistics informed by remote sensing and other spatial information. We applied a super-learner algorithm that combined the results of different machine learning models to predict the shares of six major occupation categories and the labor force participation rate at a resolution of 30 arc seconds (~1x1 km) in Vietnam. The results were subsequently combined with gridded information on the working-age population to produce maps of the number of workers per occupation. The proposed approach can also be applied to produce maps of other (labor) statistics, which are only available at aggregated levels.
DOI: 10.15468/dl.tcwr6q
title: Occurrence Download

description: A dataset containing 26026 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinguicula alpina L."
 ]
}

 The dataset includes 26026 records from 318 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077464-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p39kqg
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phreatia tjibodasana J.J.Sm."
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077465-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4645bd
title: Occurrence Download

description: A dataset containing 196 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polygala rarifolia DC."
 ]
}

 The dataset includes 196 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077466-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.