cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15151/esrf-es-1081226582
title: Exploring the magnetic exchange couplings in ferrite thin films

description: Ferrites are of upmost interest in many research fields such as spintronics and photocatalysis. In particular spinel ferrites (AFe2O4) and iron garnets (A3Fe5O12) due to their unique ferrimagnetic, ferroelectric, multiferroic, or photoconductive behaviour. These compounds are known for their complex magnetic behaviour and structural and magnetic phase transitions, which may change depending on film thickness and growth conditions. Here we want to access the element specific magnetic properties of epitaxial (Fe,Cr,Ni)3O4(111) and (Tm,Er)Fe5O12(111) layers to determine the impact of composition on the local magnetic properties (exchange couplings and anisotropy) of these iron oxides. The element specific magnetic measurements will be realized on ID32 beamline using the setup that enables dichroic measurements under various conditions (temperature, magnetic field).
DOI: 10.15151/esrf-es-1046045053
title: Occlusion of naphthazarin molecules within calcite crystals through the crystallization of amorphous calcium carbonate precursors

description: Sea urchin spines are colorful biogenic calcite crystals formed after the crystallization of amorphous calcium carbonate (ACC) nanoparticles initially stabilized by organics that incorporate the final mineral phase together with organic pigments, the polyhydroxylated naphthoquinone (PHNQ) molecules. Intra-crystalline organic molecules are known to induce lattice distortions in biogenic and synthetic CaCO3. However, our previous HR-XRD measurements (HC_4779) showed that naphthazarin, part of the PHNQ family do not induce such lattice distortion when occluded into calcite via ACC precipitation and crystallization in water (dissolution/reprecipitation mechanisms). To complete our understanding of the mechanism of naphthazarin occlusion we here measure calcite-naphthazarin samples obtained after ACC crystallization induced by heating (solid-state transformation).
DOI: 10.15151/esrf-es-1096123104
title: Study the synthesized amyloid peptide and the amyloid and Tau tissue by scanning nanodiffraction

description: Study the synthesized amyloid peptide and the amyloid and Tau tissue by scanning nanodiffraction
DOI: 10.5281/zenodo.7691546
title: Example RNA-seq analysis of data from GSE119855

description: Analysis of four samples of GEO accession GSE119855 with the IBU RNA-seq pipeline
DOI: 10.5281/zenodo.7691547
title: Example RNA-seq analysis of data from GSE119855

description: Analysis of four samples of GEO accession GSE119855 with the IBU RNA-seq pipeline
DOI: 10.5281/zenodo.7710786
title: Example RNA-seq analysis of data from GSE119855

description: Analysis of four samples of GEO accession GSE119855 with the IBU RNA-seq pipeline
DOI: 10.5281/zenodo.7585347
title: Smart Meter Water Consumption Measurements – Additional Evaluation Data

description: <strong>Data</strong><br> We collected the cumulative water consumption data in Germany using the commercially available smart meters <em>Hydrus 1.3, DN 20,00</em> from <em>Diehl Metering</em>. For evaluation purpose we further collected some label data on activity events and on out-of-house periods: <br> <em>Activity Data:</em> During defined time spans, we performed two typical household activities associated with water consumption and recorded the time at which they were performed. Specifically, we turned on various taps for 30 seconds and flushed the toilets.<br> We avoided concurrent water consumption and always waited at least 5~minutes between two activities.<br> <em>Out-of-house Data</em>: A separate data set is also collected in two test households. Besides the readings from the smart water meters, the absence times of the residents were also collected using the diary method. We handed the residents a log form in which they recorded those time points when no residents were in the house. The residents were also asked to note whether a washing machine or a dishwasher was running during a period of absence. Further information on data collection and description of the dataset can be found in Section 3 and Section 6 of the original article, which is available at the following DOI: <strong>TBD.</strong> <strong>Structure</strong><br> The <em>Zenodo</em> Archive has two folders, which distinguishes the two different sets of evaluation data. <br> The <em>Activity Data</em> contains subfolders for each of the examined frame. Each of these subfolders contains general information about the frame (e.g., household ID), the smart meter readings (<em>smartmeter.csv</em>) and a list of performed activities (<em>activities.csv</em>).<br> The <em>Out-of-house Data</em> contains two subfolders for the sampled households. These subfolders in turn contain a <em>periods.csv</em> file with the recorded times of presence, a <em>smartmeter.csv </em>file with the smart meter readings during the survey, and a general <em>info</em> document.
DOI: 10.5281/zenodo.7585346
title: Smart Meter Water Consumption Measurements – Additional Evaluation Data

description: <strong>Data</strong><br> We collected the cumulative water consumption data in Germany using the commercially available smart meters <em>Hydrus 1.3, DN 20,00</em> from <em>Diehl Metering</em>. For evaluation purpose we further collected some label data on activity events and on out-of-house periods: <br> <em>Activity Data:</em> During defined time spans, we performed two typical household activities associated with water consumption and recorded the time at which they were performed. Specifically, we turned on various taps for 30 seconds and flushed the toilets.<br> We avoided concurrent water consumption and always waited at least 5~minutes between two activities.<br> <em>Out-of-house Data</em>: A separate data set is also collected in two test households. Besides the readings from the smart water meters, the absence times of the residents were also collected using the diary method. We handed the residents a log form in which they recorded those time points when no residents were in the house. The residents were also asked to note whether a washing machine or a dishwasher was running during a period of absence. Further information on data collection and description of the dataset can be found in Section 3 and Section 6 of the original article, which is available at the following DOI: <strong>TBD.</strong> <strong>Structure</strong><br> The <em>Zenodo</em> Archive has two folders, which distinguishes the two different sets of evaluation data. <br> The <em>Activity Data</em> contains subfolders for each of the examined frame. Each of these subfolders contains general information about the frame (e.g., household ID), the smart meter readings (<em>smartmeter.csv</em>) and a list of performed activities (<em>activities.csv</em>).<br> The <em>Out-of-house Data</em> contains two subfolders for the sampled households. These subfolders in turn contain a <em>periods.csv</em> file with the recorded times of presence, a <em>smartmeter.csv </em>file with the smart meter readings during the survey, and a general <em>info</em> document.
DOI: 10.6084/m9.figshare.22239655
title: Data of LUCC and shorebird diversity in Yellow River Delta

description: Coastal land use and land cover and shoerbird diversity between 1997 and 2021 in Yellow River Delta.
DOI: 10.21996/y547-kp96
title: Supplementary Material to Diagnosis and Incidence of Congenital Combined Pituitary Hormone Deficiency in Denmark - a national observational study
DOI: 10.5281/zenodo.7710979
title: The data for disk failure prediction

description: The data for disk failure prediction
DOI: 10.5281/zenodo.7710978
title: The data for disk failure prediction

description: The data for disk failure prediction
DOI: 10.6084/m9.figshare.22239490
title: Genome assembly and annotation files of sea scallop Placopecten magellanicus

description: <em>Placopecten magellanicus</em> (Gmelin), a deep-sea Atlantic scallop naturally found along the northwest Atlantic coast, is a commercially essential benthic large marine bivalve. Given the commercial importance of sea scallop <em>P. magellanicus</em>, it is necessary to reconstruct its genome to benefit the further exploration of natural resources, even genetic breeding. Herein, we first reported a high-quality chromosome-level genome of sea scallop <em>P. magellanicus</em> using a combination of Illumina short read sequencing, PacBio HiFi reads, and Hi-C sequencing. Our approach allowed us to obtain a final assembly comprising 1,778 Mb of sequence and a N50 scaffold of 86.71 Mb.
DOI: 10.6084/m9.figshare.22239490.v1
title: Genome assembly and annotation files of sea scallop Placopecten magellanicus

description: <em>Placopecten magellanicus</em> (Gmelin), a deep-sea Atlantic scallop naturally found along the northwest Atlantic coast, is a commercially essential benthic large marine bivalve. Given the commercial importance of sea scallop <em>P. magellanicus</em>, it is necessary to reconstruct its genome to benefit the further exploration of natural resources, even genetic breeding. Herein, we first reported a high-quality chromosome-level genome of sea scallop <em>P. magellanicus</em> using a combination of Illumina short read sequencing, PacBio HiFi reads, and Hi-C sequencing. Our approach allowed us to obtain a final assembly comprising 1,778 Mb of sequence and a N50 scaffold of 86.71 Mb.
DOI: 10.24378/exe.4544
title: Acoustic surface modes on metasurfaces with embedded next-nearest neighbor coupling (dataset)

description: This is the dataset used for the Moore et al. (2023) article "Acoustic surface modes on metasurfaces with embedded next-nearest neighbor coupling" published in Physical Review B.
description: Measurement and eigenmode data. Measurement data is in pickle (.pkl) format and requires the python programming environment to access. Eigenmode data is contained within a .CSV file.
description: The article associated with this dataset is available in ORE at: http://hdl.handle.net/10871/132587
DOI: 10.5519/qd.wubg2y6q
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (304160 records)
DOI: 10.5517/ccdc.csd.cc2f11h1
title: CCDC 2235332: Experimental Crystal Structure Determination

description: Related Article: C. Smitha Rose, T. Suthan|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.6585184
title: Dynamics of heights and stem diameters in short-rotation woody crops (SRWCs) in NE of Romania

description: Data are collected from short-rotation woody crops (SRWCs) installed in NE Romania (close to the border with Ukraine), located in the hilly area (Suceava county), at an average altitude of 350 m. SRWCs were installed in 2014–2016 with two hybrid poplar clones: AF8 (P. x generosa 103-86 x P. trichocarpa PEE) and Pannonia (P. x euramericana), at a planting spacing of 3 x 2 m (with 1667 trees/ha), from rods (2 m long cuttings) as planting material. The rods were planted in the soil using a planting machine at a depth of 0.6 m. During each growing season, regular maintenance work was carried out. The inventory was carried out after 5, 6, and 7 growing seasons, and the choice of sample areas (3 x 10 trees for each variant) was made to avoid marginal influences. Heights (m) was measured on trees at ground level using a router (ensuring 1 cm accuracy) for each year/season of growth in the trunk node (insertion site of lower-order trunk segments). Diameters (cm) were measured on the trunk at one metre intervals (from the base to the top, where it was a whole multipu -1 m) using forest calipers, ensuring an accuracy of 0.1 cm. The height data can be used to generate the evolution of height growth for each crop variant. Results can be compared between growing seasons for total values. From base to top, diameter can generate the shape of the tree stem, comparing the two clones analysed in relation to planting density.
description: UEFISCDI (RO), Project ForCrops: PN-III-P1-1.1-PD-2019-0388
description: {"references": ["D\u0103nil\u0103, I. (2021). ForCrops: Estimarea produc\u021biei supraterane de biomas\u0103 lemnoas\u0103 din culturile forestiere cu cre\u015fteri rapide, prin scanare laser terestr\u0103. Bucovina Forestier\u0103, 21(2), 245-248.", "D\u0103nil\u0103, I. C. (2020). Direct Assessment of Biomass Productivity in Short Rotation Forestry (SRF) with the Terrestrial Laser Scanner (TLS). Case of Study in NE Part of Romania (Preliminary Results). Environmental Sciences Proceedings, 3(1), 93."]}
DOI: 10.5281/zenodo.6585183
title: Dynamics of heights and stem diameters in short-rotation woody crops (SRWCs) in NE of Romania

description: Data are collected from short-rotation woody crops (SRWCs) installed in NE Romania (close to the border with Ukraine), located in the hilly area (Suceava county), at an average altitude of 350 m. SRWCs were installed in 2014–2016 with two hybrid poplar clones: AF8 (P. x generosa 103-86 x P. trichocarpa PEE) and Pannonia (P. x euramericana), at a planting spacing of 3 x 2 m (with 1667 trees/ha), from rods (2 m long cuttings) as planting material. The rods were planted in the soil using a planting machine at a depth of 0.6 m. During each growing season, regular maintenance work was carried out. The inventory was carried out after 5, 6, and 7 growing seasons, and the choice of sample areas (3 x 10 trees for each variant) was made to avoid marginal influences. Heights (m) was measured on trees at ground level using a router (ensuring 1 cm accuracy) for each year/season of growth in the trunk node (insertion site of lower-order trunk segments). Diameters (cm) were measured on the trunk at one metre intervals (from the base to the top, where it was a whole multipu -1 m) using forest calipers, ensuring an accuracy of 0.1 cm. The height data can be used to generate the evolution of height growth for each crop variant. Results can be compared between growing seasons for total values. From base to top, diameter can generate the shape of the tree stem, comparing the two clones analysed in relation to planting density.
description: UEFISCDI (RO), Project ForCrops: PN-III-P1-1.1-PD-2019-0388
description: {"references": ["D\u0103nil\u0103, I. (2021). ForCrops: Estimarea produc\u021biei supraterane de biomas\u0103 lemnoas\u0103 din culturile forestiere cu cre\u015fteri rapide, prin scanare laser terestr\u0103. Bucovina Forestier\u0103, 21(2), 245-248.", "D\u0103nil\u0103, I. C. (2020). Direct Assessment of Biomass Productivity in Short Rotation Forestry (SRF) with the Terrestrial Laser Scanner (TLS). Case of Study in NE Part of Romania (Preliminary Results). Environmental Sciences Proceedings, 3(1), 93."]}
DOI: 10.6084/m9.figshare.22239901
title: Genome annotation data for the spiny red gurnard Chelidonichthys spinosus

description: The genome annotation files of <em>Chelidonichthys spinosus </em>including repeat finding, gene prediction, gene annotation, pseudogene prediction, ncRNA finding and motif finder.
DOI: 10.6084/m9.figshare.22232089.v1
title: Supplementary_data

description: Diet quality alters the consequences of gradual phenotypic plasticity for individual performance
DOI: 10.6084/m9.figshare.22232089
title: Supplementary_data

description: Diet quality alters the consequences of gradual phenotypic plasticty for individual performance
DOI: 10.6084/m9.figshare.22232089.v3
title: Supplementary_data

description: Diet quality alters the consequences of gradual phenotypic plasticty for individual performance
DOI: 10.6084/m9.figshare.22232089.v2
title: Supplementary_data

description: Diet quality alters the consequences of gradual phenotypic plasticity for individual performance
DOI: 10.5281/zenodo.7682055
title: Optical Properties of Concentric Nanorings of Quantum Emitters

description: A ring of sub-wavelength spaced dipole-coupled quantum emitters features extraordinary optical properties when compared to a one-dimensional chain or a random collection of emitters. One finds the emergence of extremely subradiant collective eigenmodes similar to an optical resonator, which feature strong 3D sub-wavelength field confinement near the ring. Motivated by structures commonly appearing in natural light-harvesting complexes (LHCs), we extend these studies to stacked multi-ring geometries. We predict that using double rings allows us to engineer significantly darker and better confined collective excitations over a broader energy band compared to the single-ring case. These enhance weak field absorption and low-loss excitation energy transport. For the specific geometry of the three rings appearing in the natural LH2 light-harvesting antenna, we show that the coupling between the lower double-ring structure and the higher energy blue-shifted single ring is very close to a critical value for the actual size of the molecule. This creates collective excitations with contributions from all three rings, which is a vital ingredient for efficient and fast coherent inter-ring transport. This geometry thus should also prove useful for the design of sub-wavelength weak field antennae.
DOI: 10.5281/zenodo.7682056
title: Optical Properties of Concentric Nanorings of Quantum Emitters

description: A ring of sub-wavelength spaced dipole-coupled quantum emitters features extraordinary optical properties when compared to a one-dimensional chain or a random collection of emitters. One finds the emergence of extremely subradiant collective eigenmodes similar to an optical resonator, which feature strong 3D sub-wavelength field confinement near the ring. Motivated by structures commonly appearing in natural light-harvesting complexes (LHCs), we extend these studies to stacked multi-ring geometries. We predict that using double rings allows us to engineer significantly darker and better confined collective excitations over a broader energy band compared to the single-ring case. These enhance weak field absorption and low-loss excitation energy transport. For the specific geometry of the three rings appearing in the natural LH2 light-harvesting antenna, we show that the coupling between the lower double-ring structure and the higher energy blue-shifted single ring is very close to a critical value for the actual size of the molecule. This creates collective excitations with contributions from all three rings, which is a vital ingredient for efficient and fast coherent inter-ring transport. This geometry thus should also prove useful for the design of sub-wavelength weak field antennae.
DOI: 10.5281/zenodo.7708799
title: Geophone data in the Rutor proglacial area (Valle d'Aosta, Italy)

description: Geophone data (PASI S.r.l. 4.5 Hz, vertical) collected along the Rutor proglacial stream, Valle d'Aosta (N 45.667063, E 7.001157 WGS84). Geophones are installed at different distances from the channel (Geo1 at 3 m, Geo2 at 6 m, Geo3 at 8 m). Raw seismic data are recorded at a sampling rate of 200 Hz, with a Amplifier Gain = 16. Time synchronization is provided by a GPS. The dataset is composed of the timestamp in UTC (dd-mmm-yyyy HH:MM) and aggregated data computed as the mean of the absolute values of the raw data calculated on a 1-min time window (in counts). Raw data at 200 Hz are recorded with a DATA-CUBE³, a 3-channel, 24-bit seismic data recorder. The signal input range of the DATA-CUBE³ is ± 2.048V = 4.096Vpp. For 24-bit ADC this equals 0.000 000 244 140 625V per count at gain 1.
description: The presented dataset is the result of the multidisciplinary work of the cc-glacier-lab of the Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino. The Italian Ministry for Education and Research (MIUR), Dipartimento di Eccellenza, funded this research. The DATA-CUBE³ is provided by the Faculty of Science and Technology of the Free University of Bozen-Bolzano, Italy.
DOI: 10.6084/m9.figshare.22226923.v2
title: Dataset for "Estimating coccolithophore PIC:POC based on coccosphere and coccolith geometry"

description: Coccolith biometry: a total of 345 measurents for coccolithophore PIC:POC and coccolith geometry. Detached coccolith data: a total of 138 data points of detached coccoliths.
DOI: 10.6084/m9.figshare.22211917
title: High-quality aquatic metagenome-assembled genomes

description: Aggregated dataset of high-quality MAGs from marine, freshwater, and brackish biomes used in the study "Large-scale phylogenomics of aquatic bacteria reveal molecular mechanisms for adaptation to salinity"
DOI: 10.26182/ejyb-wn49
title: Camposanto Femoral Histological Age-At-Death Data
DOI: 10.4119/unibi/2936468
title: CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox

description: **CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox**<br> ceml is a Python toolbox for computing counterfactuals. Counterfactuals can be used to explain the predictions of machine learning models. It supports many common machine learning frameworks: - scikit-learn - PyTorch - Keras - Tensorflow Furthermore, ceml is easy to use and can be extended very easily. See the documentation and user guide for more information on how to use and extend ceml.
DOI: 10.34740/kaggle/dsv/5133319
title: Health Workforce Shortage Areas
DOI: 10.5281/zenodo.7709583
title: Supplementary Data S1-2

description: Supplementary Data S1: Observed and predicted PSSMs for 711 proteins with their features. This set of proteins was treated as the test data set. Supplementary Data S2: Observed and predicted DMS scores for 59 DMS targets for EvoRator2 ("evorator_pred" column) and all baselines given in ProteinGym substitution benchmark.
DOI: 10.5281/zenodo.7709582
title: Supplementary Data S1-2

description: Supplementary Data S1: Observed and predicted PSSMs for 711 proteins with their features. This set of proteins was treated as the test data set. Supplementary Data S2: Observed and predicted DMS scores for 59 DMS targets for EvoRator2 ("evorator_pred" column) and all baselines given in ProteinGym substitution benchmark.
DOI: 10.57745/dwljts
title: Cilas_mean.txt

description: :unav
DOI: 10.57745/v1pwhf
title: Fritsch_single.txt

description: :unav
DOI: 10.57745/bzxjhz
title: Malvern_single.txt

description: :unav
DOI: 10.57745/xgkzco
title: Malvern_US_stirring_speed.txt

description: :unav
DOI: 10.57745/du8o86
title: Lisst_single.txt

description: :unav
DOI: 10.57745/ixru8m
title: Cilas_single.txt

description: :unav
DOI: 10.57745/lvbwmd
title: Sizes_Lisst.txt

description: :unav
DOI: 10.57745/5vkzoe
title: Malvern_mean.txt

description: :unav
DOI: 10.57745/5tl9v7
title: Indices_Cilas_Malvern_Fritsch_Lisst_Uniform.txt

description: :unav
DOI: 10.57745/h3gh8c
title: Fritsch_mean.txt

description: :unav
DOI: 10.57745/omjhqz
title: Lisst_mean.txt

description: :unav
DOI: 10.57745/l6xiqc
title: Metadata.txt

description: :unav