cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13120/7e639150-2f23-4d1c-a563-03dd15d84a3c
title: Baltic Sea - Beach litter aggregated datasets 2011/2023 v2024
title: Baltic_sea_beach_litter_aggregated_datasets_ 2011/2023_v2024

description: EMODnet Chemistry aims to provide access to marine chemistry data sets and derived data products concerning eutrophication, ocean acidification, contaminants and litter. The chosen parameters are relevant for the Marine Strategy Framework Directive (MSFD), in particular for descriptors 5, 8, 9 and 10. The dataset contains standardized, harmonized and validated data collections from beach litter (monitoring and other sources). 
Datasets concerning beach and seafloor litter data are loaded in a central database after a semi-automated validation phase. Once loaded, a data assessment is performed in order to check data consistency and potential errors are corrected thanks to a feedback loop with data originators.
For beach litter, the harmonized datasets contain all unrestricted EMODnet Chemistry data on beach litter, including monitoring data, data from cleaning surveys and data from research. A relevant part of the monitoring data has been considered for assessment purposes by the European institutions and therefore is tagged as MSFD_monitoring. EMODnet beach litter data and databases are hosted and maintained by 'Istituto Nazionale di Oceanografia e di Geofisica Sperimentale, Division of Oceanography (OGS/NODC)' from Italy.
Data are formatted following Guidelines and forms for gathering marine litter data, which can be found at: https://doi.org/10.6092/15c0d34c-a01a-4091-91ac-7c4f561ab508. The updated vocabularies of admitted values are available in https://nodc.ogs.it/marinelitter/vocab.
The harmonized datasets can be downloaded as EMODnet Beach litter data format Version 7.0, which is a spreadsheet file composed of 4 sheets: beach metadata, survey metadata, animals and litter. Local_CDI field in the survey metadata sheet allows to retrieve the original data.
DOI: 10.17863/cam.43168
title: Data for: Single-nanowire spectrometers

description: Data for the plots in the main text. Instructions for some data sets are contained within the Excel file. Detailed description: One Microsoft Excel file containing data for each plot in the main manuscript figures, as labelled. Photoluminescent data (1A) is measured through 355 nm laser illumination of a typical CdSxSe1-x nanowire at 7 different locations as shown in the image in the main text; intensities for each location are normalized to their respective maximum intensity. Photocurrent measurements (1C) are made applying bias between two electrodes toward the CdSe-rich end of a typical nanowire photodetector array, under the labelled irradiances by 490 nm light. Time response (1D) is of the same unit as measured for the photocurrent data, under illumination by a blue LED, pulsed at a frequency of 50 Hz. Calibration data (1E) is supplied for each unit (labelled as R"i", where "i" is the unit index) of a typical nanowire spectrometer with 30 units, consisting of the photocurrent measured under illumination at different wavelengths from 490 to 630 nm (spaced in the case of this example at increments of 5 nm) by a tunable Xe arc lamp source. Note that for the nanowire devices presented in Figs. 2A-D, 3F and 4G, a narrower sample spacing of 3 nm was used in the calibration. Note also that calibration photocurrents have been normalised for the purpose of more clearly illustrating the spread of cut-off wavelengths across the set of units. Spectral datasets (2A-D, 3F, 4G) are, as labelled, either measured from a conventional spectrometer (Thorlabs, CCS100 compact spectrometer, 350-700 nm) or reconstructed by a 30-unit or 38-unit nanowire spectrometer as described in the text using the calibration data and photocurrents measured from each unit whilst under illumination by the unknown light signal. Data for 2A-D and 3F have been normalized so as to better compare the conventional and nanowire spectrometers. Both sets of mapping data (3D, 4F) show in effect a data cube with 3 dimensions (x, y, wavelength). The x-y planes measure 30 x 30 pixels, with pixel size 300 µm x 300 µm for 3D and 20 x 10 pixels with pixel size 20 µm x 20 µm for 4F. The pixels are indexed in a raster fashion, such that, for example, pixels 1 to 30 in 3D correspond to the first row in the spectral image, while 31 to 60 correspond to the second row, and so on.
DOI: 10.17863/cam.39576
title: Research data supporting RESIST publication "Exploring Ways of Measuring Childhood Adversity: A Comparison of Presence vs. Absence, Severity and Frequency Indicators" (Taken from Resilience Study (RESIST): What Helps Students to Adapt to Exam Stress?)

description: A detailed description of the data can be found in the belonging data description, with the name "RESIST_YAS_Data_description_2019.May05.08". $$ \ $$ Important update (October 2021): This dataset is not the correct and most up-to-date version of this dataset. To access the most up-to-date version of this dataset please go to this record: https://doi.org/10.17863/CAM.75429
DOI: 10.17863/cam.25153
title: Research data: Magnetic exchange fields and domain wall superconductivity at an all-oxide superconductor / ferromagnetic insulator interface

description: Origin windows of all figures in the article
DOI: 10.6084/m9.figshare.c.3621479_d2
title: Additional file 3: of Modelling microbial metabolic rewiring during growth in a complex medium

description: The list of the reactions and genes embedded in all the clusters identified through flux correlation analysis. (ZIP 79 kb)
DOI: 10.6084/m9.figshare.c.3621479_d3
title: Additional file 4: of Modelling microbial metabolic rewiring during growth in a complex medium

description: The whole set of data related to the identified motifs and their annotations (before manual curation), for each probed database. (XLSX 21 kb)
DOI: 10.6084/m9.figshare.c.3621485_d3
title: Additional file 1 of Investigating inter-chromosomal regulatory relationships through a comprehensive meta-analysis of matched copy number and transcriptomics data sets

description: Spreadsheet summarizing the results for all 1430 regulators in the database with significant predicted targets. (XLS 746 kb)
DOI: 10.6084/m9.figshare.c.3621479_d4
title: Additional file 1: of Modelling microbial metabolic rewiring during growth in a complex medium

description: The metabolic reconstruction and the Matlab codes used in this work. (ZIP 3936 kb)
DOI: 10.6084/m9.figshare.c.3621506_d1
title: MOESM6 of Seasonal cues induce phenotypic plasticity of Drosophila suzukii to enhance winter survival

description: Additional file 6: Table S5. Functional Annotation Clustering of genes that are significantly down-regulated in the winter fly heads relative to summer heads as determined by DAVID.
DOI: 10.6084/m9.figshare.c.3621509_d1
title: Additional file 1 of EAGER: efficient ancient genome reconstruction

description: The following additional data are available with the online version of this paper. Additional file 1 contains the full report automatically produced by EAGER. (XLS 9.50 kb)
DOI: 10.6084/m9.figshare.c.3621515_d1
title: Additional file 1: of Crucial genes associated with diabetic nephropathy explored by microarray analysis

description: The list of differentially expressed genes. (XLSX 30 kb)
DOI: 10.17863/cam.13415
title: Research data supporting "Rheology of dense granular suspensions under extensional flow"

description: Data to support the paper "Rheology of dense granular suspensions under extensional flow"
DOI: 10.6084/m9.figshare.c.3621506_d2
title: MOESM5 of Seasonal cues induce phenotypic plasticity of Drosophila suzukii to enhance winter survival

description: Additional file 5: Table S4. Functional Annotation Clustering of genes that are significantly up-regulated in the winter fly heads relative to summer heads as determined by DAVID.
DOI: 10.13120/4a361c23-6123-4a15-9c45-129c69b3ff72
title: Black Sea - Seafloor litter aggregated datasets 2011/2014 v2024
title: Black_sea_seafloor_litter_aggregated_datasets_ 2011/2014_v2024

description: EMODnet Chemistry aims to provide access to marine chemistry data sets and derived data products concerning eutrophication, ocean acidification, contaminants and litter. The chosen parameters are relevant for the Marine Strategy Framework Directive (MSFD), in particular for descriptors 5, 8, 9 and 10. The datasets contain standardized, harmonized and validated data collections from seafloor litter. 
Datasets concerning seafloor litter data are loaded in a central database after a semi-automated validation phase. Once loaded, a data assessment is performed in order to check data consistency and potential errors are corrected thanks to a feedback loop with data originators.
EMODnet seafloor litter data and database are hosted and maintained by ‘Istituto Nazionale di Oceanografia e di Geofisica Sperimentale, Division of Oceanography (OGS/NODC)’ from Italy.
For seafloor litter, the harmonized datasets contain all unrestricted EMODnet Chemistry data on seafloor litter data.
Data are formatted following Guidelines and forms for gathering marine litter data, which can be found at: https://dx.doi.org/10.6092/15c0d34c-a01a-4091-91ac-7c4f561ab508. The updated vocabularies of admitted values are available at https://vocab.seadatanet.org/search or at https://vocab.ices.dk/ .
The harmonized datasets can be downloaded as EMODnet Sea-floor litter data format version 1.0, which is a csv file, tab separated values.
DOI: 10.6084/m9.figshare.c.3621530_d1
title: Additional file 5: Table S5. of Comprehensive transcriptional landscape of aging mouse liver

description: List of top GO terms from downregulated differentially expressed genes used to make Fig.Â 3b. (XLSX 60 kb)
DOI: 10.17863/cam.14314
title: Research data supporting "Infusion of hydrogen into nanostructured bainitic steel"

description: The full set of experimental data relating to the paper, including dilatometry, differential thermal analysis, scanning and transmission electron microscopy, X-ray diffraction.
DOI: 10.17863/cam.88739
title: Research data supporting "Cigarette pack size and consumption: a randomised cross-over trial"

description: A description of the datasets and the details of the software required to replicate analyses are included in the readme file.
DOI: 10.57680/asep.0586665
title: Soubor primárních dat izotopového složení floémové mízy, jejího toku v dřevinách a hrubé primární produkce smíšeného listnatého lesa
title: Datasets on phloem sap carbon isotope ratio, sap flow in tree species, and gross primary production in a mixed broadleaf forest

description: V rámci tohoto dokumentu jsou zpřístupněny primární datové soubory poměru stabilních izotopů uhlíku v míze a toku floémové mízy (sap flow) u dominantních dřevin smíšeného listnatého lesa (Quercus robur, Fraxinus angustifolia a Carpinus betulus). Dále jsou prezentovány denní sumy hrubé primární produkce ekosystému smíšeného listnatého lesa, odhadnuté pomocí techniky eddy kovariance. Tyto datové soubory obsahují primární hodnoty použité v publikaci Stojanović et al. (2024), s názvem „Disaggregation of Canopy Photosynthesis Among Tree Species in a Mixed Broadleaf Forest“, publikované v časopise Tree Physiology (DOI: 10.1093/treephys/tpae064).
description: Primary datasets of carbon isotope ratio in phloem sap and sap flow in dominant tree species of a mixed broadleaf forest (Quercus robur, Fraxinus angustifolia, and Carpinus betulus) are provided. Additionally, daily sums of ecosystem gross primary production in the mixed broadleaf forest, estimated using the eddy-covariance technique, are presented. These datasets contain the primary values used in the publication by Stojanović et al. (2024), titled "Disaggregation of Canopy Photosynthesis Among Tree Species in a Mixed Broadleaf Forest" and published in the journal Tree Physiology (DOI: 10.1093/treephys/tpae064).
DOI: 10.17863/cam.50242
title: Entrepreneur sample 1851-91 from: Piero Montebruno and Robert J. Bennett(2020) 'Inter-census record-linked entrepreneurs and non-entrepreneurs 1851-91 using BBCE and I-CeM

description: Database download for record-linkage of census data 1851-91 in England and Wales for entrepreneurs.
DOI: 10.17863/cam.104471
title: Shadowgraph visualisations of salt-stratified turbulence obtained in a stratified inclined duct (SID) laboratory experiment

description: A collection of 113 experimental datasets corresponding to flow visualisations obtained in the G. K. Batchelor Laboratory (Department of Applied Mathematics and Theoretical Physics, University of Cambridge). The experiments were setup to create stratified turbulence generated via an exchange flow through a long tilted duct (L=2000, H=50, W=100 mm) connecting two large reservoirs (400 litres each) containing saltwater (NaCl) at different densities. The movies consist of shadowgraph visualisations, where parallel light was shone through the flow and projected onto a semi-transparent screen, where it was recorded by a video camera. The movies show the evolution of density (salinity) contrasts in the flow, including the formation and break up of density interfaces, as well as scouring and overturning behaviours. Each of the 113 movies corresponds to a distinct experiment, collectively covering a two-dimensional parameter space (Reynolds number and tilt angle) where various turbulent behaviours take place. This allows the study of a range of turbulent mixing processes responsible for transporting mass and momentum in stratified fluid systems like the oceans. Please refer to the READ_ME file for detailed information on the folder contents and organisation.
DOI: 10.15468/dl.j7b9t5
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-5.47703 36.1175,-5.4823 36.11497,-5.49008 36.11531,-5.49555 36.11274,-5.49243 36.11217,-5.48895 36.11472,-5.48694 36.11404,-5.48173 36.11451,-5.47703 36.1175))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 12 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033206-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17863/cam.31780
title: Research data supporting "Amphiphilic-DNA Platform for the Design of Crystalline Frameworks with Programmable Structure and Functionality"

description: Figure4_X: Confocal microscopy z-stacks and images of C-star aggregates soaked in fluorescent molecule X, used for the penetration assay presented in figure 4 of the associated publication. Figure 5: Confocal microscopy z-stacks and images of C-star aggregates used for the NTA-GFP binding assay presented in figure 5a-b of the associated publication. XrayData: 2D SAXS patterns of C-star aggregates, associated buffers, and silver behenate calibrant collected at the Diamond Light Source beamline I11.
DOI: 10.6084/m9.figshare.c.3621563_d1
title: MOESM1 of Cases of human brucellosis in Sweden linked to Middle East and Africa

description: Additional file 1. MLVA profiles for the B. melitensis analyzed in this study.
DOI: 10.6084/m9.figshare.c.3621506_d9
title: MOESM4 of Seasonal cues induce phenotypic plasticity of Drosophila suzukii to enhance winter survival

description: Additional file 4: Table S3. Functional Annotation Clustering of genes that are significantly down-regulated in the winter fly bodies relative to summer bodies as determined by DAVID.
DOI: 10.6084/m9.figshare.c.3621575_d7
title: Additional file 1: of Methylome profiling reveals functions and genes which are differentially methylated in serrated compared to conventional colorectal carcinoma

description: Box plots representing the GO biological process (A) and molecular functions (B) differentially methylated between SAC and CC. Each colour indicates functions belonging to the same cluster, bar length the number of genes mapping this function and the percentage their contribution to the total of genes included in the function.
DOI: 10.13120/2afd7d53-2b8a-4ad7-9ff2-6f2c93a237e2
title: North Sea - Seafloor litter aggregated datasets 2011/2024 v2024
title: North_sea_seafloor_litter_aggregated_datasets_ 2011/2024_v2024

description: EMODnet Chemistry aims to provide access to marine chemistry data sets and derived data products concerning eutrophication, ocean acidification, contaminants and litter. The chosen parameters are relevant for the Marine Strategy Framework Directive (MSFD), in particular for descriptors 5, 8, 9 and 10. The datasets contain standardized, harmonized and validated data collections from seafloor litter. 
Datasets concerning seafloor litter data are loaded in a central database after a semi-automated validation phase. Once loaded, a data assessment is performed in order to check data consistency and potential errors are corrected thanks to a feedback loop with data originators.
EMODnet seafloor litter data and database are hosted and maintained by ‘Istituto Nazionale di Oceanografia e di Geofisica Sperimentale, Division of Oceanography (OGS/NODC)’ from Italy.
For seafloor litter, the harmonized datasets contain all unrestricted EMODnet Chemistry data on seafloor litter data.
Data are formatted following Guidelines and forms for gathering marine litter data, which can be found at: https://dx.doi.org/10.6092/15c0d34c-a01a-4091-91ac-7c4f561ab508. The updated vocabularies of admitted values are available at https://vocab.seadatanet.org/search or at https://vocab.ices.dk/ .
The harmonized datasets can be downloaded as EMODnet Sea-floor litter data format version 1.0, which is a csv file, tab separated values.
DOI: 10.17863/cam.63898
title: Research data supporting 'Comparing Natural Language Processing Methods to Cluster Construction Schedules'

description: The names of construction activities are the only unstructured data attribute in construction schedules and often guide construction execution. Activity names are devised to communicate between stakeholders, and therefore are often written using inconsistent terminologies across repetitive activities with omitted contextual information. This the challenge that machine learning systems face to learn patterns from construction schedules. This paper compares the performance of state-of-the-art text-related clustering methods in identifying repetitive activities. This was achieved via creating a ground truth dataset on the basis of the construction work classification in the Standard Method of Measurement, and then compared the precision, recall and F1 score of Latent Semantic Analysis (LSA), Latent Dirichlet Allocation (LDA), word2vec, and FastText to group activity names in 27 construction schedules. Results indicate that the F1 score of LSA outperforms LDA (0.84% over 0.88%), while the results of language-models-based clustering depend on the quality of word embedding and the paired clustering method. The results of this study provide an insight into how to pre-process activity names of construction schedules for further AI-based quantitative analysis. This is the python executable file to execute the clustering method described in the manuscript. See the main manuscript for more details.
DOI: 10.25423/cmcc/medsea_analysisforecast_bgc_006_014_medbfm4
title: Mediterranean Sea Biogeochemical Analysis and Forecast (Copernicus Marine Service MED-Biogeochemistry, MedBFM4 system)
title: MEDSEA_ANALYSIS_FORECAST_BGC_006_014_MedBFM4

description: The biogeochemical analysis and forecasts for the Mediterranean Sea at 1/24° of horizontal resolution (ca. 4 km) are produced by means of the MedBFM4 model system. MedBFM4, which is run by OGS (IT), consists of the coupling of the multi-stream atmosphere radiative model OASIM, the multi-stream in-water radiative and tracer transport model OGSTM_BIOPTIMOD v4.3, and the biogeochemical flux model BFM v5. Additionally, MedBFM4 features the 3D variational data assimilation scheme 3DVAR-BIO v3.3 with the assimilation of surface chlorophyll (CMEMS-OCTAC NRT product) and of vertical profiles of chlorophyll, nitrate and oxygen (BGC-Argo floats provided by CORIOLIS DAC).
The biogeochemical MedBFM system, which is forced by the NEMO-OceanVar model (MEDSEA_ANALYSISFORECAST_PHY_006_013 product run by CMCC), produces one day of hindcast and ten days of forecast (every day) and seven days of analysis (weekly on Tuesday).
DOI: 10.15468/dl.9895k6
title: Occurrence Download

description: A dataset containing 726 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Aedeomyia squamipennis (Lynch Arribálzaga, 1878)"
 ]
}

 The dataset includes 726 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033207-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17863/cam.99920
title: Data for Comparative study of magnetocaloric properties for Gd3+ compounds with different frustrated lattice geometries

description: Data sets associated with the publication Comparative study of magnetocaloric properties for Gd3+ compounds with different frustrated lattice geometries Includes cif files obtained from X-ray diffraction analysis, magnetic and magnetocaloric data from magnetic susceptibility and isothermal magnetisation measurements and output from monte-carlo simulations.
DOI: 10.15468/dl.gs5v58
title: Occurrence Download

description: A dataset containing 206 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Living Specimen)",
 "TaxonKey is Amblyomma cajennense Fabricius, 1787"
 ]
}

 The dataset includes 206 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033208-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.c.3621641_d5
title: Additional file 5: of Large scale transcriptome analysis reveals interplay between development of forest trees and a beneficial mycorrhiza helper bacterium

description: The most significantly enriched Pfam and GO terms. (XLSX 31Â kb)
DOI: 10.17863/cam.104611
title: Research data supporting: "Acceptability of adding a non-contrast abdominal CT scan to screen for kidney cancer and other abdominal pathology within a community-based CT screening programme for lung cancer: a qualitative study"

description: This dataset contains the interview topic guides for the qualitative interviews conducted with participants and healthcare professions collected as part of the Yorkshire Kidney Screening Trial (YKST) and published in the linked paper. The pseudo-anonymised transcripts from the interviews are stored within the Primary Care Unit. Researchers can request access by contacting Dr Juliet Usher-Smith, jau20@medschl.cam.ac.uk or PCU_DATA@medschl.cam.ac.uk. Applicants will be required to complete a Data Access Agreement that will indicate the criteria for data access and conditions for research use and will incorporate privacy and confidentiality standards to ensure data security.
DOI: 10.17863/cam.11018
title: Research data supporting "Study of bubble dynamics in gas-solid fluidized beds using ultrashort echo time (UTE) magnetic resonance imaging (MRI)"

description: data associated with paper
DOI: 10.6084/m9.figshare.c.3621668_d5
title: Additional file 5: of Synthesis and bio-molecular study of (+)-N-Acetyl-Îą-amino acid dehydroabietylamine derivative for the selective therapy of hepatocellular carcinoma

description: Table S2. Microarray data of DAAD2-resistance SNU449 cell line. Class comparison analyses using microarray data of DAAD2-resistant SNU449 cell line provided the lists of genes differentially expressed as a result of DAAD2 treatments. (XLS 446Â kb)