cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.18866595
title: Additional file 1 of Fat-free/lean body mass in children with insulin resistance or metabolic syndrome: a systematic review and meta-analysis

description: Additional file 1: Table S1. Search strategy for systematic reviews and systematic review protocols. Table S2. PRISMA-S Checklist. Table S3. Quality assessment of the included cross-sectional studies. Table S4. Quality assessment of the included longitudinal study. Table S5. Quality assessment of the included clinical trial. Table S6. Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) summary of findings. Table S7. PRISMA 2020 for abstracts Checklist.
DOI: 10.6084/m9.figshare.18866593
title: Additional file 12 of Comparative transcriptomics and eQTL mapping of response to Melampsora americana in selected Salix purpurea F2 progeny

description: Additional file 12: Additional Table 9. Effector P v2.0 predicted protein summary.
DOI: 10.6084/m9.figshare.18866590
title: Additional file 11 of Comparative transcriptomics and eQTL mapping of response to Melampsora americana in selected Salix purpurea F2 progeny

description: Additional file 11: Additional Table 8. Signal P predicted secretome.
DOI: 10.6084/m9.figshare.18866587
title: Additional file 10 of Comparative transcriptomics and eQTL mapping of response to Melampsora americana in selected Salix purpurea F2 progeny

description: Additional file 10: Additional Table 7. Summary statistics on differentially expressed M. americana transcripts.
DOI: 10.6084/m9.figshare.18866551
title: Additional file 4 of Novel γ-sarcoglycan interactors in murine muscle membranes

description: Additional file 4: Table S3. Samples report for all proteins identified in immunoprecipitates from RIPA1 buffer. Normalized weighted spectral counts from all immunoprecipitations performed in RIPA1 buffer; dataset before manual curating, as described in Methods.
DOI: 10.5281/zenodo.5893293
title: Towards a Robotic Scientist for Synthesis of Nanocrystals

description: Computer code, algorithm, and data are available to generate results that are reported in the paper and central to its main claims. - Crystal informatics 1. Code and by README for crystal informatics by ANN 2. Data of crystal informatics for ANN - Data mining of synthesis parameters 3. Code for data mining of synthesis parameters 4. Data for data mining of synthesis parameters - Operation of the Robotic Scientist platform 5. A example of Robotic Execution Excel (REE) file 6. A brief instruction for the operation of the Robotic Scientist platform 7. Code and by README for ML prediction by SISSO 8. Data (a example) of ML prediction for SISSO 9. Code for reading in situ color characterization results 10. Code for operation of mobile color-ultra-sensitive camera 11. Data (a example) of in situ color characterization results
DOI: 10.6084/m9.figshare.18866548
title: Additional file 3 of Novel γ-sarcoglycan interactors in murine muscle membranes

description: Additional file 3: Table S2. Samples report for all proteins identified in immunoprecipitates from Rx buffer. Normalized weighted spectral counts from all immunoprecipitations performed in Rx buffer; dataset before manual curating, as described in Methods.
DOI: 10.5066/f7nv9hkc
title: Model Archive: Simulation of Rhodamine Dye Concentration and Larval Drift, Kootenai River, Idaho

description: This archive contains results of lagrangian particle-tracking (LPT) simulations of both the dispersal of rhodamine dye and larval drift. The LPT model is a research effort and the simulations here provide some of the first experimental validation of the results for dispersal of a conservative constituent (Rhodamine WT-20). The larval drift simulations however have not been validated and the results should be viewed in this context. The simulations may contain 20 - 30 Gb of results. The archive is split into child-items to help distinguish the individual components of the archive and make downloading of large files more manageable in terms of data size. See Readme1.pdf for details of this archive.
DOI: 10.5066/p9hhmbx8
title: Geospatial Dataset for the Geologic Framework and Hydrostratigraphy of the Edwards and Trinity Aquifers within Northern Medina County, Texas at 1:24,000

description: This data release supports the U.S. Geological Survey Scientific Investigation Map (SIM) by Clark and others (2020) by documenting the data used to create the geologic maps and describes the geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers for a 442 square-mile area in northern Medina County in south Texas. The karstic Edwards and Trinity aquifers that are the subject of the SIM by Clark and others (2020) are classified as major sources of water in south-central Texas by the Texas Water Development Board (George and others, 2011). The geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers largely control groundwater flow paths and storage in northern Medina County (Kuniasky and Ardis, 2004). The data provided in this data release and the detailed maps and descriptions of the geologic framework and hydrostratigraphy in Clark and others (2020) are intended to help provide water managers information that is useful for effectively managing available groundwater resources in the study area. These digital data accompany Clark, A.K., Morris, R.E., and Pedraza, D.E., 2020, Geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers within northern Medina County, Texas: U.S. Geological Survey Scientific Investigations Map 3461, 13 p. pamphlet, 1 pl., scale 1:24,000, https://doi.org/10.3133/sim3461.
DOI: 10.5066/p9up346k
title: Water-quality and stream discharge data for estimation of nitrogen loads in the South Platte River, Denver, CO, 2017-2018

description: The purpose of this data release is to provide the original data, analysis methods, and nitrogen loading models in support of a study of the upper South Platte River annual total nitrogen loads attributed to atmospheric deposition of reactive nitrogen during 2017-2018. The data release includes water-quality and stream discharge data and associated predictive regression models used in the estimation of South Platte River nitrogen loads upstream from Weldona, Colorado and sub-basin runoff coefficients for the reach between Chatfield Dam and the South Platte River at Denver gage. The water-quality data were obtained from monthly unfiltered grab samples collected by the Denver Department of Public Health and Environment and analyzed by Standard Methods 4500-NO2-B (nitrite); 4500-NO3-F (nitrate); and 4500-NORG-B+NH3 (Total Kjeldahl Nitrogen). Stream discharge data were obtained for gaging stations from the National Water Information System and Colorado Division of Water Resources with two exceptions as follows. The Englewood wastewater reclamation facility discharge data were supplied by the facility. Discharge values for site N25E were calculated by subtracting the discharge from Cherry Creek at Denver (site W17) from the discharge at South Platte River at Denver. In addition to supplying the data used to calculate nitrogen loads and sub-basin runoff coefficients, this data release also provides the equations and diagnostic statistics for the models developed using the LOADEST software configured for R (rloadest package). Data users are referred to R help to define the many diagnostic statistics presented.
DOI: 10.5066/p9v4njxw
title: Environmental and Vegetation Data from Marsh-Forest Transgression Experiment at Blackwater National Wildlife Refuge, MD, USA

description: We conducted a field experiment at the Moneystump Swamp in the Blackwater National Wildlife Refuge in Dorchester, MD, USA to simulate a natural forest disturbance event (e.g., storm-induced flooding) by inducing the death of established trees (coastal loblolly pine, Pinus taeda) at the marsh-upland forest ecotone. There were three treatment components: Cut- where the trees were cut and removed, Girdled- where the bark was stripped from the base of the trees killing them and leaving them standing, and Control- where the trees were left alive. After this simulated disturbance in 2015, we monitored changes in vegetation along an elevation gradient in control and treatment areas to determine if disturbance can lead to an ecosystem shift from forested upland to wetland vegetation by measuring vegetation indices such as Wetland Prevalence Index, Shannon's Diversity Index, and Shannon's Evenness Index. Separately, the recovery of the pine trees was tracked over time, with measurements of pine tree height, cover, and density. In addition to vegetation, other environmental variables were measured across the same elevation and treatment gradient including light availability and inundation.
DOI: 10.5066/p9b337x6
title: Evaluating injury and mortality to larval lamprey collected out of sediment using a portable suction dredge

description: Dataset describes the findings of a combination of field and laboratory tests to see if larval lamprey were injured or killed after they were collected from their burrows in sediment using a portable suction dredge.
DOI: 10.5066/p9lfpamf
title: Zooplankton, Benthos, Mysis, and fish diet data from northern Lake Huron in 2012

description: These data consist of a multi-trophic, day vs. night, nearshore to offshore transect approach for data collection for this Cooperative Science and Monitoring Initiative effort at two northwestern Lake Huron sites near Hammond Bay and Thunder Bay, Michigan. Zooplankton and Mysis samples were collected monthly from April-October while benthos and prey fish samples were collected seasonally during Spring, Summer, and Fall. Invertebrate taxa (zooplankton, Mysis, benthic macroinvertebrates) were identified, enumerated, and measured using a dissecting microscope. Diet items of the prey fish were processed similarly to the other samples in terms of taxonomy. These data were used to calculate densities of fish prey items and compare that to what the fishes ate for selectivity analysis. The data are in raw form.
DOI: 10.34740/kaggle/dsv/2380237
title: sentiment dataset for Afghanistan (SD4A)
DOI: 10.34740/kaggle/dsv/3080161
title: Omicron daily cases by country (COVID-19 variant)
DOI: 10.5281/zenodo.5893959
title: Data from the article "Modulation of wintertime canopy Urban Heat Island (CUHI) intensity in Beijing by synoptic weather pattern in planetary boundary layer"

description: The link includes four datasets, "pcttype" is weather typing data, "pblh" is PBLH data, "uhii-UV" is the mean value of CUHII and wind direction UV of all urban stations, and "uhii-sws" is the value of CUHII, wind speed and wind direction of all urban stations.
DOI: 10.5281/zenodo.5893958
title: Data from the article "Modulation of wintertime canopy Urban Heat Island (CUHI) intensity in Beijing by synoptic weather pattern in planetary boundary layer"

description: The link includes four datasets, "pcttype" is weather typing data, "pblh" is PBLH data, "uhii-UV" is the mean value of CUHII and wind direction UV of all urban stations, and "uhii-sws" is the value of CUHII, wind speed and wind direction of all urban stations.
DOI: 10.25919/b9dw-eh11
title: Parkes observations for project P1069 semester 2020APRS_10

description: We propose to carry out Parkes follow-up observations of pulsar candidates identified in the Rapid ASKAP Continuum Survey (RACS). This is the first all-sky pulsar survey in the imaging domain in the southern hemisphere thanks to ASKAP. Eight sources have been selected because of (1) their very high fraction of circular polarisation; (2) their lack of optical counterparts; (3) strong variability, which might indicate either strong interstellar scintillation or eclipsing by companion stars if in binaries; (4) the non-detection of these relatively bright sources in previous pulsar surveys, which might indicate extreme nature of these candidates. High time and frequency resolution targeted search with UWL are proposed. Such observations will enable us to carry out deep searches of pulsars with very short spin periods or in compact binaries.
DOI: 10.6084/m9.figshare.17134559.v2
title: Mutation of spexin2 promotes feeding, somatic growth, adiposity and insulin resistance in zebrafish

description: effect of <i>spx2</i> mutation on zebrafish reproduction
DOI: 10.5281/zenodo.5893998
title: SWMF/CIMI outputs used in Holappa and Buzulukova (2022) manuscript submitted to Geophys. Res. Lett.

description: These data files and Python scripts are used to produce Figures 1 and 2 in Holappa and Buzulukova, Explicit IMF By-dependence of energetic protons and the ring current, submitted to Geophys. Res. Lett. (2022). Figure 1: PosBy_CimiFlux_n00000046_h.fls, NegBy_CimiFlux_n00000046_h.fls are CIMI output files containing proton fluxes for different energies and pitch angles. These data can be read with CIMIreader.py. Figures in the manuscript can be produced by Run_CIMI_reader.py. Files PosBy_CimiFlux_n00000046_e.fls, NegBy_CimiFlux_n00000046_e.fls can be used to produce corresponding figures for electrons. Figure 2: Data files CIMI_log_NegBy_PosTilt.dat and CIMI_log_PosBy_PosTilt.dat are CIMI output files containing the ring current energy and other variables. Figures can be produced by Plot_CIMI_Dst.py.
DOI: 10.15151/esrf-es-643606514
title: Fundamental and Applied Aspects of Radiation Damage

description: The Radiation Damage BAG investigates the fundamental mechanisms of radiation damage. It develops best practice data collection protocols to minimise radiation damage derived artefacts. It develops metrics and methods to track and quantify both global and local radiation damage.
DOI: 10.34740/kaggle/dsv/3080452
title: Omicron daily cases by country (COVID-19 variant)
DOI: 10.5281/zenodo.5890613
title: Wake vortices and dissipation in a tidally modulated flow past a three-dimensional topography

description: LES simulation data of tidally modulated flow past an abyssal hill. Data used in the figures are available
DOI: 10.5281/zenodo.5890612
title: Wake vortices and dissipation in a tidally modulated flow past a three-dimensional topography

description: LES simulation data of tidally modulated flow past an abyssal hill. Data used in the figures are available
DOI: 10.6084/m9.figshare.18871442
title: The current crustal vertical deformation features of the Sichuan-Yunnan region constrained by fusing the leveling data with the GNSS data

description: This dataset include the GNSS vertical rate and leveling data used in a manuscript titled "The current crustal vertical deformation features of the Sichuan-Yunnan region constrained by fusing the leveling data with the GNSS data"
DOI: 10.6084/m9.figshare.18871442.v1
title: The current crustal vertical deformation features of the Sichuan-Yunnan region constrained by fusing the leveling data with the GNSS data

description: This dataset include the GNSS vertical rate and leveling data used in a manuscript titled "The current crustal vertical deformation features of the Sichuan-Yunnan region constrained by fusing the leveling data with the GNSS data"
DOI: 10.34740/kaggle/dsv/3080773
title: AutoXGB
DOI: 10.6084/m9.figshare.18874223
title: athletic performance data

description: <b>Sensorimotor Integration and Athletic Performance data of Collegiate Athletes with and without Forward Head Posture</b><b></b>
DOI: 10.5517/ccdc.csd.cc253f3v
title: CCDC 1999286: Experimental Crystal Structure Determination

description: Related Article: Yool Lee, Chaeun Oh, Jin Kim, Myong-Suk Park, Woo Kyun Bae, Kyung Hyun Yoo, Seungwoo Hong|2022|Chemical Science|13|737|doi:10.1039/D1SC05094J
DOI: 10.5517/ccdc.csd.cc253f4w
title: CCDC 1999287: Experimental Crystal Structure Determination

description: Related Article: Yool Lee, Chaeun Oh, Jin Kim, Myong-Suk Park, Woo Kyun Bae, Kyung Hyun Yoo, Seungwoo Hong|2022|Chemical Science|13|737|doi:10.1039/D1SC05094J
DOI: 10.5517/ccdc.csd.cc253f5x
title: CCDC 1999288: Experimental Crystal Structure Determination

description: Related Article: Yool Lee, Chaeun Oh, Jin Kim, Myong-Suk Park, Woo Kyun Bae, Kyung Hyun Yoo, Seungwoo Hong|2022|Chemical Science|13|737|doi:10.1039/D1SC05094J
DOI: 10.5517/ccdc.csd.cc24wg3m
title: CCDC 1992590: Experimental Crystal Structure Determination

description: Related Article: wei chen|2020|CSD Communication|||
description: Related Article: Wei Chen, Hui Zhou, Bai-Hao Ren, Wei-Min Ren, Xiao-Bing Lu|2022|Org.Biomol.Chem.|20|678|doi:10.1039/D1OB02157E
DOI: 10.5517/ccdc.csd.cc24wg4n
title: CCDC 1992591: Experimental Crystal Structure Determination

description: Related Article: wei chen|2020|CSD Communication|||
description: Related Article: Wei Chen, Hui Zhou, Bai-Hao Ren, Wei-Min Ren, Xiao-Bing Lu|2022|Org.Biomol.Chem.|20|678|doi:10.1039/D1OB02157E
DOI: 10.5517/ccdc.csd.cc24wg5p
title: CCDC 1992592: Experimental Crystal Structure Determination

description: Related Article: wei chen|2020|CSD Communication|||
description: Related Article: Wei Chen, Hui Zhou, Bai-Hao Ren, Wei-Min Ren, Xiao-Bing Lu|2022|Org.Biomol.Chem.|20|678|doi:10.1039/D1OB02157E
DOI: 10.15151/esrf-es-642714941
title: CryoEM-BAG France: Structural Biology using Cryo-EM in France

description: This proposal gathers Principal investigators from French Institutions that use cryo-EM to unravel the molecular mechanisms associated with various biological processes. Scientists belong to 8 centres that currently use Cryo-EM and have already used ESRF CM01 beamline. All the PIs in this application have submitted application in the two previous Rolling access applications and have or will soon collect data. Most of them will thus need Beam-time prior to august 2020. According to our listing, 14 projects are ready for data collection at ESRF CM01. Projects include the study of bacterial secretion systems (Bordeaux, Lyon, Paris), viruses and their infection mechanisms (Marseille), translation and its control (Bordeaux, Toulouse, Paris, Strasbourg), transcription (Strasbourg, Paris) and Macromolecular transport (Bordeaux, Lyon, Strasbourg).
DOI: 10.5281/zenodo.5151941
title: MARIDA: Marine Debris Archive

description: MARIne Debris Archive (MARIDA) is a marine debris-oriented dataset on Sentinel-2 satellite images. It also includes various sea features that co-exist. MARIDA is primarily focused on the weakly supervised pixel-level semantic segmentation task. <strong>Citation: </strong>Kikaki K, Kakogeorgiou I, Mikeli P, Raitsos DE, Karantzalos K (2022) MARIDA: A benchmark for Marine Debris detection from Sentinel-2 remote sensing data. PLoS ONE 17(1): e0262247. https://doi.org/10.1371/journal.pone.0262247 For the quick start guide visit marine-debris.github.io The dataset contains: i. 1381 patches (256 x 256) structured by Unique Dates and S2 Tiles. Each patch is provided along with the corresponding masks of pixel-level annotated classes (*_cl) and confidence levels (*_conf). Patches are given in GeoTiff format. ii. Shapefiles data in WGS’84/ UTM projection, with file naming convention following the scheme: s2_dd-mm-yy_ttt, where s2 denotes the S2 sensor, dd denotes the day, mm the month, yy the year and ttt denotes the S2 tile. Shapefiles include the class of each annotation along with the confidence level and the marine debris report description. iii. Train, Validation and Test split for evaluating machine learning algorithms. iv. The assigned multi-labels for each patch (labels_mapping.txt). The mapping between Digital Numbers and Classes is: 1: Marine Debris<br> 2: Dense Sargassum<br> 3: Sparse Sargassum<br> 4: Natural Organic Material<br> 5: Ship<br> 6: Clouds<br> 7: Marine Water<br> 8: Sediment-Laden Water<br> 9: Foam<br> 10: Turbid Water<br> 11: Shallow Water<br> 12: Waves<br> 13: Cloud Shadows<br> 14: Wakes<br> 15: Mixed Water The mapping between Digital Numbers and Confidence level is: 1: High<br> 2: Moderate<br> 3: Low The mapping between Digital Numbers and marine debris Report existence is: 1: Very close<br> 2: Away<br> 3: No The final uncompressed dataset requires 4.38 GB of storage.
DOI: 10.5281/zenodo.5151940
title: MARIDA: Marine Debris Archive

description: MARIne Debris Archive (MARIDA) is a marine debris-oriented dataset on Sentinel-2 satellite images. It also includes various sea features that co-exist. MARIDA is primarily focused on the weakly supervised pixel-level semantic segmentation task. <strong>Citation: </strong>Kikaki K, Kakogeorgiou I, Mikeli P, Raitsos DE, Karantzalos K (2022) MARIDA: A benchmark for Marine Debris detection from Sentinel-2 remote sensing data. PLoS ONE 17(1): e0262247. https://doi.org/10.1371/journal.pone.0262247 For the quick start guide visit marine-debris.github.io The dataset contains: i. 1381 patches (256 x 256) structured by Unique Dates and S2 Tiles. Each patch is provided along with the corresponding masks of pixel-level annotated classes (*_cl) and confidence levels (*_conf). Patches are given in GeoTiff format. ii. Shapefiles data in WGS’84/ UTM projection, with file naming convention following the scheme: s2_dd-mm-yy_ttt, where s2 denotes the S2 sensor, dd denotes the day, mm the month, yy the year and ttt denotes the S2 tile. Shapefiles include the class of each annotation along with the confidence level and the marine debris report description. iii. Train, Validation and Test split for evaluating machine learning algorithms. iv. The assigned multi-labels for each patch (labels_mapping.txt). The mapping between Digital Numbers and Classes is: 1: Marine Debris<br> 2: Dense Sargassum<br> 3: Sparse Sargassum<br> 4: Natural Organic Material<br> 5: Ship<br> 6: Clouds<br> 7: Marine Water<br> 8: Sediment-Laden Water<br> 9: Foam<br> 10: Turbid Water<br> 11: Shallow Water<br> 12: Waves<br> 13: Cloud Shadows<br> 14: Wakes<br> 15: Mixed Water The mapping between Digital Numbers and Confidence level is: 1: High<br> 2: Moderate<br> 3: Low The mapping between Digital Numbers and marine debris Report existence is: 1: Very close<br> 2: Away<br> 3: No The final uncompressed dataset requires 4.38 GB of storage.
DOI: 10.6084/m9.figshare.18758741
title: The soil seed bank reduces density fluctuations with increasing aridity

description: Datasets and R code used in the paper. To run the code please download all files to the same directory. First run the "functions_SB" file and then the main script.
DOI: 10.6084/m9.figshare.18758741.v1
title: The soil seed bank reduces density fluctuations with increasing aridity

description: Datasets and R code used in the paper. To run the code please download all files to the same directory. First run the "functions_SB" file and then the main script.
DOI: 10.6084/m9.figshare.16778587.v1
title: Mapping mountain glaciers using an improved U-Net model with cSE

description: Global warming is melting glaciers. Changes in mountain glaciers have a tremendous impact on human life. Regular identification and extraction of glaciers from satellite images are necessary. However, when studying glaciers, material surrounding the glacier have high spectral similarity to glaciers and are easily misclassified in the identification process. Therefore, in this study of glacier extraction, we used an improved U-Net model (a channel-attention U-Net) to map glaciers. The model was trained on Landsat 8 Operational Land Imager (OLI) data and a Shuttle Radar Topography Mission (SRTM) digital elevation model (DEM), and was tested on glaciers in the Pamir Plateau. The results show that the channel-attention U-Net identifies glaciers with relatively high accuracy compared to U-Net and GlacierNet. The obtained results are fine-tuned by the conditional random field model, effectively reducing background misidentification.