cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18444/5.03.01.0005.0011.0001
title: Datensatz des ZfKD auf Basis der epidemiologischen Landeskrebsregisterdaten Epi2015_1, verfügbare Diagnosejahre bis 2013.
title: Population-based cancer registry dataset from the German Center for Cancer Registry Data.

description: Das Zentrum für Krebsregisterdaten im Robert Koch-Institut erstellt auf Basis der in den Bundes­ländern jährlich erfassten Krebsneuerkrankungen fortlaufend einen aktualisierten Datensatz zu Krebsneuerkrankungen in Deutschland. Seit dem Jahr 2009 werden in ganz Deutschland flächendeckend alle neuauftretenden Krebserkrankungen systematisch auf Basis eigener Ländergesetze erfasst.
description: Datensatz des ZfKD auf Basis der epidemiologischen Landeskrebsregisterdaten
description: Register
description: Der Datensatz basiert auf den Daten der epidemiologischen Landeskrebsregister zu jährlich erfassten Krebsneuerkrankungen im jeweiligen Bundesland.
DOI: 10.21227/vyh8-4h71
title: Parasitic Egg Detection and Classification in Microscopic Images

description: Parasitic infections have been recognised as one of the most significant causes of illnesses by WHO. Most infected persons shed cysts or eggs in their living environment, and unwittingly cause transmission of parasites to other individuals. Diagnosis of intestinal parasites is usually based on direct examination in the laboratory, of which capacity is obviously limited. Targeting to automate routine faecal examination for parasitic diseases, this challenge aims to gather experts in the field to develop robust automated methods to detect and classify eggs of parasitic worms in a variety of microscopic images. Participants will work with a large-scale dataset, containing 11 types of parasitic eggs from faecal smear samples. They are the main interest because of causing major diseases and illness in developing countries. We open to any techniques used for parasitic egg recognition, ranging from conventional approaches based on statistical models to deep learning techniques. Finally, the organisers expect a new collaboration come out from the challenge.
DOI: 10.26179/f111-q279
title: Robinson Ridge 2019 – Canary in the Coal Mine - DNA subsoil and surface sequencing A16S, 18S, 16S, ITS
DOI: 10.34740/kaggle/ds/3185040
title: AI Global Index
DOI: 10.3886/e105300v1-7742
title: 2016 Survey of Consumer Finances (SCF)

description: The Survey of Consumer Finances (SCF) is normally a triennial cross-sectional survey of U.S. families. The survey data include information on families’ balance sheets, pensions, income, and demographic characteristics. Information is also included from related surveys of pension providers and the earlier such surveys conducted by the Federal Reserve Board. No other study for the country collects comparable information. Data from the SCF are widely used, from analysis at the Federal Reserve and other branches of government to scholarly work at the major economic research centers.
DOI: 10.48437/42c292-ebac3d
title: Ship Wave Measurements in German Coastal Waterways from 1998 to 2022 [Dataset]

description: This dataset contains in-situ measurements of ship-generated wave heights and currents collected during 14 campaigns from 1998 to 2022 in German coastal waterways. It includes 81,092 filtered datapoints (from an initial 97,877) across 46 measurement stations in 28 cross-sections, with 23 unique locations, some of which were repeated after a certain time. Each wave event is linked to the ship and nautical parameters responsible for its generation. A more detailed metadata description for each campaign is attached to the dataset.
 
 Citation for this data set:
 Seemann, A.; Melling, G. (2024): Ship Wave Measurements in German Coastal Waterways from 1998 to 2022 [Dataset], DOI: https://doi.org/10.48437/42c292-ebac3d
DOI: 10.5281/zenodo.11083909
title: Deep Learning Forecasts Caldera Collapse Events at Kīlauea Volcano
DOI: 10.5281/zenodo.13123635
title: Chromosome-level genome assemblies of sunflower oilseed and confectionery cultivars

description: In this study, we obtained high-quality genomes of two cultivar representatives of oil and confectionery common sunflower (Helianthus annuus L.) lineages in China at the chromosome level using the PacBio Revio system Circular Consensus Sequencing and high-throughput chromatin conformation capture (Hi-C) scaffolding sequencing technologies. OXS is an inbred oil-type sunflower line with high kernel rate (74.5% kernels), contains 42.9% oil and fat. It is highly susceptible to Verticillium wilt and moderately susceptible to several other diseases. YDS is an inbred non-oil line with high plant height (180-220 cm) and large plump seeds (19.23 grams per 100 seeds). The genome assembly of OXS, spans 3.03 Gb, with 99.58% of sequences anchored to 17 chromosomes and a contig N50 length of 154 Mb. Similarly, the assembly size of YDS, is 3.02 Gb, with 99.40% of sequences mapped to 17 chromosomes and a contig N50 length of 153 Mb. The gene completeness of BUSCO reached 98.2% for OXS and 98.4% for YDS, while the LTR Assembly Index (LAI) stood at 24.73 and 25.85 for OXS and YDS, respectively. A comparative genomics approach identified 6,535 (OXS) and 6,498 (YDS) gene families that have evolved rapidly and are associated with substance synthesis, cell growth, grain weight, and protective mechanisms against biotic and abiotic stresses. We discovered that the YDS genome assembly shows high collinearity with the OXS assembly, apart from three significant inversions on chromosomes 7 and 17. We also identified 15,056 large deletions and insertions between the OXS and YDS assemblies. The publication of these genomes has greatly contributed to the improvement of genetic breeding by integrating internal genetic and external environmental factors in Helianthus annuus L. crops.
DOI: 10.5281/zenodo.13272989
title: Daily rainfall totals (mm), Sly Park Creek - Caldor Fire

description: Sly Park Creek unheated tipping bucket rain gage. Latitude: 38.731593; Longitude: -120.501016. Daily rainfall totals (mm) from 2022-06-07 to 2023-12-09. Non-telemetered rain gage deployed for post-fire monitoring by the Burned Watershed Geohazards Program, California Geological Survey.
DOI: 10.5281/zenodo.13771363
title: Hybrid iterating-averaging low photon budget Gabor holographic microscopy - dataset

description: Dataset (Matlab files) containing holograms employed in:M. Rogalski, P. Arcab, E. Wdowiak, J. Á. Picazo-Bueno, V. Micó, M. Józwik, and M. Trusiak, “Hybrid iterating-averaging low photon budget Gabor holographic microscopy,” Submitted 2024This dataset should be used together with the codes present at:https://github.com/MRogalski96/IGA
DOI: 10.5281/zenodo.13774785
title: Accurate and Robust Stellar Rotation Periods catalog for 82771 Kepler stars using deep learning

description: This repository is for the paper "Rotation Period for 83022 Kepler Stars: A Deep Learning Approach" by I. Kamai and H. B. Perets. It is associated with manuscript number AAS56501. It consists a frozen repository and the published catalog
DOI: 10.5281/zenodo.13784822
title: Replication data for "Single-shot X-ray ptychography as a structured illumination method"

description: Replication data for "Single-shot X-ray ptychography as a structured illumination method," published in Optics Letters on January 15, 2025 at https://doi.org/10.1364/OL.545836. The author's accepted manuscript is available on the arXiv at https://doi.org/10.48550/arXiv.2410.19197.
DOI: 10.5281/zenodo.4027465
title: MoTiV: a Dataset of European User Mobility for Behavioral-Data

description: Mobility is a system involving several stakeholders. Therefore, it is relevant to characterize mobility behavior and preferences in a detailed way, to enable nuanced decisions. Current paradigms rely mostly on time saving, proposing to users solutions that include the shortest path. Even though the value of travel time can be extended beyond travel duration, no dataset to characterize mobility and value of travel time from different perspectives exists. This creates a gap between novel mobility paradigms and the characterization of user mobility. To enable the mining of user mobility under these new paradigms, in this paper, we present the MoTiV (Mobility and Time Value) dataset, which contains data about travelers and their journeys, collected from a mobile application, called Woorti. Each trip contains multi-faceted information: from the transport mode, through its evaluation, to the positive/negative experience factors. We also present a use case, which compares corresponding legs with different transport modes, studying experience factors that negatively impact users. We conclude by discussing other application domains and research opportunities enabled by the dataset.
description: A paper about the dataset is going to appear at the 15th International AAAI Conference on Web and Social Media (ICWSM 2021). If you use this dataset for an academic publication, please cite the following paper: ``` Cristian Consonni, Silvia Basile, Matteo Manca, Ludovico Boratto, André Freitas, Tatiana Kovacikova, Ghadir Pourhashem, and Yannick Cornet. "What's Your Value of Travel Time? Collecting Traveler-Centered Mobility Data via Crowdsourcing". To appear in the 15th International AAAI Conference on Web and Social Media (ICWSM 2021). 2021. ```
DOI: 10.5281/zenodo.7335551
title: IBERIFIER Digital Media Dataset

description: IBERIFIER Digital Media Dataset collects more than 5,000 digital media from Spain and Portugal. This dataset has been produced by the IBERIFIER - Iberian Digital Media Research & Fact-Checking project ( www.iberifier.eu ; ref. 2020-EU-IA-0252), funded by the European Commission. Coordinated from the University of Navarra, this project is made up of 23 institutions from Spain and Portugal.


As regards the data from Spain, this dataset is based on the work carried out in several R+D+i projects financed by the Ministry of Science and Innovation of Spain: USPRINME (2016-2018), ref. CSO2015-64662-C4-1-R ; DIGINATIVEMEDIA (2019-2021), ref. RTI2018-093346-B-C31; and DIGINATIVEMEDIA II (2022-2024), ref. PID2021-122534OB-C22.


Regarding the data from Portugal, this dataset is based on the directory of Portuguese media compiled by ERC - Entidade Reguladora para a Comunicação Social (version: Jan. 3th, 2021).
DOI: 10.5281/zenodo.7526345
title: CEDS-SatEM Gridded - Bulk Emissions

description: Release of gridded greenhouse gas emissions from 2000-2019 based on the 2021_04_21 CEDS release with direct inclusion of point sources as time series. This dataset contains just the primary emissions species covered by CEDS, both at 0.5° and 0.1° spatial resolution. Data for speciated VOC emissions can be found in the companion dataset, DOI 10.5281/zenodo.7526534. *Version 2 soon to be released, fixing an error of some missing point sources.*
DOI: 10.5281/zenodo.8208019
title: Tracks of western disturbances (1950-2022) impacting South Asia

description: WDs are identified using the feature-tracking algorithm described in Hunt et al (2018). Relative vorticity is averaged across the 450-300 hPa layer, and then spectrally truncated to T42 to remove high-frequency noise that hinders tracking. For each region of positive vorticity, the centroid is located and labelled as a candidate WD. These centroids are connected between timesteps using a nearest-neighbour algorithm, biased to take into account the steering winds of the subtropical jet. Systems that do not on average travel eastward, last fewer than 48 hours, or do not pass through the box [20-42.5°N, 60-80°E] are rejected.<br> Applied to ERA5, this gives over seventy years of track data (1950-2022). The method followed here is identical to Nischal et al (2022), except the northern edge of the catching box is extended from 36.5°N to 42.5°N, to ensure that all WDs that potentially impact North India are included.<br> <br> Column titles are:<br> <strong>timestep</strong>: a counter indicating the number of 3-hourly timesteps that have passed since 1950-01-01 00:00<br> <strong>track_id</strong>: a unique identifier linking points into tracks<br> <strong>time</strong>: string describing the date and time<br> <strong>lon</strong>: longitude<br> <strong>lat</strong>: latitude<br> <strong>vort</strong>: vorticity measured at the centre of the WD averaged over the 450-300 hPa layer. Can be used for intensity filtering.<br> <strong>eccentricity</strong>: eccentricity of the region of positive vorticity. Can be used to understand local dynamics.<br> <br> <br> <br> Hunt, K. M. R., Turner, A. G., & Shaffrey, L. C. (2018). The evolution, seasonality and impacts of western disturbances. <em>Quarterly Journal of the Royal Meteorological Society</em>, <em>144</em>(710), 278-290.<br> <br> Nischal, Attada, R., & Hunt, K. M. (2022). Evaluating winter precipitation over the western Himalayas in a high-resolution Indian regional reanalysis using multisource climate datasets. <em>Journal of Applied Meteorology and Climatology</em>, <em>61</em>(11), 1613-1633.
DOI: 10.5518/1395
title: UK Commercially Available Baby Food 

description: The dataset contains information on 470 UK commercial infant foods collected from 4 major supermarkets, representing 11 brands. The data has been mapped to the WHO Nutrient and Promotion Model (NPPM) 2022, for checking baby food quality.
DOI: 10.6084/m9.figshare.25000925
title: Dataset for "Pervasive fire danger continued under a negative emission scenario"

description: This dataset includes post-processed data files and scripts used in the study "Pervasive fire danger continued under a negative emission scenario" by Kim et al. Publicly-available data used in this study (ERA5, GFED, GFAS, and CMIP6) are accessible from their respective providers. Direct daily outputs from the CESM 28-ensemble simulation are not included here and are available upon request due to the large size.
DOI: 10.6084/m9.figshare.25804702
title: Data from: Predicting the effect of landscape structure on epidemic invasion using an analytical estimate for infection rate

description: Individual based model simulation data and host landscape data for figures in the paper.Files for Figure 1: Fig1.zipFiles for Figure 2: Fig2b_sigma_10km_A0_200m.zip; Fig2c_sigma_1km_A0_1km.zip; Fig2d_sigma_1km_A0_200m.zipFiles for Figures 3, 4 and 5: Figs_3-5.zipFiles for Figure 6: Fig6.zip<br>
DOI: 10.6084/m9.figshare.26764015
title: Source Data

description: Phototransistor design and fabrication
DOI: 10.6084/m9.figshare.28089518
title: Supplementary Material for: Real-world experience in the management of CML patients focused on tyrosine kinase inhibitors intolerance and health-related quality of life

description: Introduction: This study aimed to analyze the survival outcomes and adverse events (AEs) associated with the long-term use of tyrosine kinase inhibitors (TKIs) and to assess health-related quality of life (HRQoL) in patients with chronic myeloid leukemia (CML). Methods: Medical records of 345 patients with CML treated with at least one type of TKI were retrospectively reviewed. Results: No significant differences in survival were observed based on the number of different TKIs the patients received (p = 0.301) or the sequence of TKIs used (p = 0.770). Among 182 patients treated with nilotinib, 25 experienced cardiovascular events (CVEs). After 10 years of nilotinib treatment, CVEs occurred in 55.2% of patients with ≥ 2 vascular risk factors. Pleural effusion was observed in 27 of 78 dasatinib-treated patients. In terms of HRQoL, patients treated with nilotinib generally reported higher satisfaction levels than did those treated with imatinib or dasatinib. When stratified by age or duration of TKI treatment, patients aged &lt; 60 years or those with a treatment duration of ≥ 1 year exhibited better satisfaction levels. Conclusion: Survival outcomes were not affected by history of TKI treatment. Nilotinib is favorable for HRQoL but increases the risk of serious CVEs in patients with vascular risk factors.
DOI: 10.15468/dl.twt457
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Monitoring populations of Popillia japonica (Newman, 1838) over 16 years in the Azorean Islands"
 ]
}

 The dataset's 1 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065287-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.taffnr
title: Occurrence Download

description: A dataset containing 375994 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Laothoe populi Linnaeus, 1758, Marumba gaschkewitschii Bremer & Grey, 1853, Sphinx ligustri Linnaeus, 1758)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1990"
 ]
}

 The dataset includes 375994 records from 617 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065289-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kqcu22
title: Occurrence Download

description: A dataset containing 3033 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((2.21922 43.15687,2.88745 43.15687,2.88745 43.39071,2.21922 43.39071,2.21922 43.15687))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Amphibia"
 ]
}

 The dataset includes 3033 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065291-241126133413365/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.28190198
title: <b>SAFE-Net-Dataset</b>

description: <b>Dataset Description for SAFE-Net-Dataset</b><b>1. Introduction</b>This dataset was created as part of the research titled <i>"</i> <i>SAFE-Net: Multi-Head Attention Enhanced Framework for Defect Detection in Anti-Corrosion Coatings on Steel Structures"</i>. It focuses on detecting defects commonly found in steel structure coatings, including <b>corrosion, cracks, flaking, and blistering</b>. The goal of this dataset is to facilitate research in computer vision for defect detection, specifically for high-resolution image segmentation and object detection tasks.<b>2. Dataset Overview</b><b>Name</b>: <b>SAFE-Net-Dataset</b><b>Version</b>: 1.0<b>Number of Images</b>: 8,193 images.<b>Defects Categories</b>:Class 0: CorrosionClass 1: CrackClass 2: FlakingClass 3: Blistering<b>Data Formats</b>:<b>Images</b>: RGB images in .jpg format.<b>Annotations</b>: Provided in .txt format, where each .txt file corresponds to an image and contains information about the bounding boxes for all objects in that image.<b>3. Methodology</b><b>3.1. Data Collection</b>The images were collected from industrial steel structures under real-world conditions. Images were captured using high-resolution cameras to ensure fine detail resolution of small defects like microcracks.<b>3.2. Data Annotation</b>Annotation tools used include <b>Labelimg</b> for bounding boxes. Then, the XML file that has been obtained is to be converted into TXT format.<b>4. Citation</b>If you use this dataset, please cite the following paper:<i>[Paper Title:</i> <i>SAFE-Net: Multi-Head Attention Enhanced Framework for Defect Detection in Anti-Corrosion Coatings on Steel Structures]</i><br>Authors: [Yue Yu, Shouchao Jiang, Yijun Wang, Shaojun Zhu*]<b>5. License</b>This dataset is released under the <b>GPL</b><b> </b>license. Users are free to use, modify, and distribute the dataset, provided that appropriate credit is given to the original authors.For questions or issues, please contact 2232332@tongji.edu.cn.<br>
DOI: 10.15468/dl.9g82qz
title: Occurrence Download

description: A dataset containing 4697 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Cuscuta planiflora Ten."
 ]
}

 The dataset includes 4697 records from 204 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065292-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48577/jpl.cngta6
title: Kinetic Inductance and nonlinearity of MgB2 Films at 4K

description: We report on the fabrication and characterization of superconducting magnesium diboride (MgB2) devices tailored for nonlinear kinetic inductance (NLKI) applications like parametric amplifiers. Leveraging the high superconducting transition temperature of MgB2 our work aims to enable either elevated operating temperatures or expanded upper- frequency limits. We have fabricated microwave resonators using ≈ 40 nm thick MgB2 films with a measured kinetic inductance per square of 5 - 7pH/□, internal quality factors, Qi ≈ 3 × 104 at 4.2 K. We measure the NLKI in MgB2 by applying a DC bias to a 6 cm long by 3 μm wide Coplanar Waveguide (CPW) transmission line, and measuring the resulting phase delay caused by the current dependent NLKI. We also measure the current dependent NLKI through CPW resonators that shift down in frequency with increased power. We approximate the characteristic non-linear current parameter, I∗, for multiple CPW geometries using these measurements.
DOI: 10.48577/jpl.4nu3cm
title: COMAP Galactic Science I: Observations of Spinning Dust Emission at 30 GHz in Dark Clouds Surrounding the 𝜆-Orionis HII Region

description: Anomalous Microwave Emission (AME) is a major component of Galactic emission in the frequency band 10\textendash60 GHz that remains poorly understood. AME has been found to have a strong spatial correlation with the dust column along a line-of-sight, and the favored model of AME ascribes the source to rapidly rotating spinning dust grains. The photodissociation region (PDR) at the boundary of the $\lambda$-Orionis H\textsc{ii} region has recently become a target of interest, with multiple results highlighting the ring as one of the brightest spinning dust emitting sources in the sky. We investigate the Barnard~30 dark cloud, which is a sub-region of the $\lambda$-Orionis PDR that was identified by both \textit{Planck}, and more recent combined analyses from \mbox{C-BASS} and QUIJOTE, as the brightest spinning dust emitting region in the PDR. We use new, dedicated total power observations of Barnard~30 from the CO Mapping Array Project (COMAP) pathfinder instrument at 26--34\,GHz with a resolution of $4.\!^\prime5$ alongside existing data from \textit{Planck}, WISE, IRAS, and the 1.447\,GHz GALFACTS survey. We use a combination of aperture photometry and template fitting to measure the spectral energy distribution of Barnard~30, and sub-regions within Barnard~30, and use Markov Chain Monte Carlo modeling to characterize the spectrum in terms of spinning dust and other emission components. We find that the spinning dust is constrained at the $7\,\sigma$ level ($S_{30\mathrm{GHz}} = 2.85\pm0.43$\,Jy) and is the dominant emission component in the COMAP pathfinder band. The spinning dust emission is found to be most strongly correlated with far infrared IRAS data. We find no evidence that polycyclic aromatic hydrocarbons are the preferred carrier for the spinning dust emission, but propose that spinning dust in Barnard~30 is generated by a mixed population of very small grains. Finally, we find evidence for variations in spinning dust emissivity and peak frequency within Barnard~30, and that these variations are driven by a combination of changes in dust column density and the total radiation field. However, confirming the origin of the variations in the spinning dust spectrum will require both future COMAP observations at 15\,GHz combined with spectroscopic mid-infrared data of Barnard~30.