cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.qetfil
title: Occurrence Download

description: A dataset containing 688 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Banco de información sobre características tecnológicas de maderas mexicanas"
 ]
}

 The dataset includes 688 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008502-160822134323880/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.adqt4n
title: Occurrence Download

description: A dataset containing 223 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eugenia macrocarpa Cham. & Schltdl."
 ]
}

 The dataset includes 223 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0160931-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tmavzm
title: Occurrence Download

description: A dataset containing 43975 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Patella Linnaeus, 1758",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 43975 records from 240 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056975-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c73ybh
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Literature Occurrence"
 ]
 },
 "Country is China",
 "TaxonKey is Spermophilus dauricus Brandt, 1843"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0315378-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.msh6fz
title: Occurrence Download

description: A dataset containing 421 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Galictis vittata (Schreber, 1776)"
 ]
}

 The dataset includes 421 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008502-170714134226665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b6sghe
title: Occurrence Download

description: A dataset containing 11635 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tritia reticulata (Linnaeus, 1758)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 11635 records from 164 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056973-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bmnudg
title: Occurrence Download

description: A dataset containing 1689 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 {
 "or" : [
 "TaxonKey is Dobsonia chapmani Rabor, 1952",
 "TaxonKey is Dobsonia crenulata K.Andersen, 1909",
 "TaxonKey is Dobsonia emersa Bergmans & Sarbini, 1985",
 "TaxonKey is Dobsonia exoleta K.Andersen, 1909",
 "TaxonKey is Dobsonia inermis K.Andersen, 1909",
 "TaxonKey is Dobsonia minor (Dobson, 1879)",
 "TaxonKey is Dobsonia moluccensis (Quoy & Gaimard, 1830)",
 "TaxonKey is Dobsonia pannietensis (De Vis, 1905)",
 "TaxonKey is Dobsonia peronii (E.Geoffroy, 1810)",
 "TaxonKey is Dobsonia praedatrix K.Andersen, 1909",
 "TaxonKey is Dobsonia viridis viridis"
 ]
 },
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1689 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008502-170826194755519/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.srtb6d
title: Occurrence Download

description: A dataset containing 407096 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is BirdMap Data - GPS tracking of Storks, Cranes and birds of prey, breeding in Northern and Eastern Europe"
 ]
}

 The dataset includes 407096 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0309592-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ynes8t
title: Occurrence Download

description: A dataset containing 281003 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Reduviidae"
 ]
}

 The dataset includes 281003 records from 918 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056974-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ehhkft
title: Occurrence Download

description: A dataset containing 936 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anthriscus nemorosa"
 ]
}

 The dataset includes 936 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025108-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bkn6qf
title: Occurrence Download

description: A dataset containing 24615 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "BasisOfRecord is Fossil",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 24615 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025106-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jphuhb
title: Occurrence Download

description: A dataset containing 24971 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Schinus terebinthifolia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
 ]
}

 The dataset includes 24971 records from 372 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025109-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17052095
title: COVID-ARE-Konsultationsinzidenz

description: Im Datensatz "COVID-ARE-Konsultationsinzidenz" des Robert Koch-Instituts werden wöchentliche Inzidenzen von ambulanten Konsultationen mit akuter respiratorischer Erkrankung (ARE) und zusätzlicher COVID-19-Diagnose in Deutschland bereitgestellt. Über das syndromische Surveillance-Modul SEED-ARE werden aus Sentinelpraxen Daten von gesetzlich versicherten Patientinnen und Patienten mit einer akuten Atemwegserkrankung inklusive der jeweiligen ICD-10-Diagnosecodes elektronisch übermittelt. Die COVID-ARE-Konsultationsinzidenz wird pro 100.000 Einwohner und nach Altersgruppen ausgewiesen. Der Datensatz ermöglicht eine zeitnahe Einschätzung der Krankheitslast und unterstützt evidenzbasierte Entscheidungen im Infektionsgeschehen mit COVID-19.
DOI: 10.5281/zenodo.17052081
title: The data of high altitude study
DOI: 10.5281/zenodo.17052082
title: The data of high altitude study
DOI: 10.7488/ds/7925
title: Raw data for "Low-temperature on-board hydrogen production using a novel hollow fibre-based packed bed reactor"

description: This dataset includes experimental raw data corresponding to the data shown in the linked manuscript, which is titled "Low-temperature on-board hydrogen production using a novel hollow fibre-based packed bed reactor". This comprises raw data for all light-off experiments and characterisation data. // The development of efficient on-board hydrogen generation technologies via ammonia decomposition necessitates dual advancements in catalyst and reactor design. However, significant challenges remain due to the absence of cost-effective, highly active catalysts and efficient reactors capable of satisfying the demands of on-board operation. Therefore, this work investigated cobalt molybdenum (CoMo)-based oxide and nitride catalytic systems to gain insight into the relationships among catalyst composition, stability and performance in ammonia decomposition, while a novel hollow fibre packed bed reactor (HFPBR) was introduced, for the first time, as a novel reactor concept. The significant performance variation of CoMo-oxide and nitride catalytic systems is demonstrated, extending over a T50 range of 120 °C. The nitride-based catalysts have emerged as promising catalyst candidates due to their superior activity and stability, exhibiting low-temperature activity above 380 °C. Moreover, various HPPBR configurations, each incorporating a CoMo-nitride catalyst, were investigated, with the optimal configuration demonstrating a 10-fold increase in the ammonia consumption rate at 425 °C, compared with the least effective configuration. These findings establish the HFPBR, coupled with a CoMo-based nitride catalyst, as a promising and efficient solution for on-board hydrogen production.
DOI: 10.15468/dl.fdsgrq
title: Occurrence Download

description: A dataset containing 357 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-30 81, 50 81, 50 12, -30 12, -30 81))",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Living Specimen, Occurrence evidence)",
 "TaxonKey is one of (Hypogastrura viatica)"
 ]
}

 The dataset includes 357 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025110-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vsahew
title: Occurrence Download

description: A dataset containing 5374 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vigna vexillata",
 "Geometry POLYGON ((-17.62504 -34.81917, 51.13387 -34.81917, 51.13387 37.34999, -17.62504 37.34999, -17.62504 -34.81917))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5374 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025112-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.juanhn
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Doronicum grandiflorum grandiflorum"
 ]
}

 The dataset includes 20 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025111-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60629/9qtk-yj77
title: Colonia Dignidad: State authorities in Chile and (West) Germany (1950s–2025)

description: <p>This document is one of the results of the author’s research project “The Performative Realm of ‘Colonia Dignidad,’ a German Enclave in Chile, in Historical and Politicial Contexts” (<em>Performatywna strefa „Kolonii Godności”, niemieckiej enklawy w Chile, w kontekście historycznym i politycznym</em>), financed by grant no. 2021/43/B/HS2/00360 from the National Science Centre (<em>Narodowe Centrum Nauki</em>, NCN) under its OPUS 22 Programme.</p><p><br /></p><p>The file contains a table with the names of representatives of the authorities in Chile and the Federal Republic of Germany from the 1950s to 2025.</p><p><br /></p>
DOI: 10.15468/dl.byyk9t
title: Occurrence Download

description: A dataset containing 829 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is North America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Senecio crassulus",
 "Year 1970-2025"
 ]
}

 The dataset includes 829 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025113-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60629/phrg-qe64
title: Colonia Dignidad: collaborators, supporters and sympathizers

description: <p>This document is one of the results of the author’s research project “The Performative Realm of ‘Colonia Dignidad,’ a German Enclave in Chile, in Historical and Politicial Contexts” (<em>Performatywna strefa „Kolonii Godności”, niemieckiej enklawy w Chile, w kontekście historycznym i politycznym</em>), financed by grant no. 2021/43/B/HS2/00360 from the National Science Centre (<em>Narodowe Centrum Nauki</em>, NCN) under its OPUS 22 Programme.</p><p>This file lists individuals who collaborated, sympathized with and/or supported <em>Colonia Dignidad </em>and appear in the audiovisual collection of <em>Colonia Dignidad </em>deposited at the Progress Film.</p><p><br /></p>
DOI: 10.6084/m9.figshare.30048457
title: dwrf

description: high-resolution simulation data generated from the WRF model and code used for generation
DOI: 10.6084/m9.figshare.30048457.v3
title: dwrf

description: high-resolution simulation data generated from the WRF model and code used in generation
DOI: 10.6084/m9.figshare.30048457.v4
title: dwrf

description: high-resolution simulation data generated from the WRF model and code used for generation
DOI: 10.15468/dl.qtsjhb
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-30 81, 50 81, 50 12, -30 12, -30 81))",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Living Specimen, Occurrence evidence)",
 "TaxonKey is one of (Hysterothylacium aduncum)"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025114-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/ds/8190630
title: CV: Bag Of Words
DOI: 10.5281/zenodo.17052132
title: SARI-Hospitalisierungsinzidenz

description: Im Datensatz "SARI-Hospitalisierungsinzidenz" des Robert Koch-Instituts werden die wöchentlichen Inzidenzen schwerer akuter respiratorischer Infektionen (SARI) auf Bundesebene in Deutschland bereitgestellt. Die Daten stammen aus der syndromischen Krankenhaussurveillance ICOSARI, die auf ICD-10-Diagnosecodes aus etwa 70 Sentinelkliniken basiert. Der Datensatz umfasst Hospitalisierungsinzidenzen pro 100.000 Einwohner, aufgeschlüsselt nach Altersgruppen, Saison und Kalenderwoche. Neben der Gesamtheit aller SARI-Fälle werden auch Fälle mit zusätzlicher COVID-19-, Influenza- oder RSV-Diagnose separat erfasst. Die Surveillance liefert entscheidende Informationen zur Krankheitslast akuter respiratorischer Erkrankungen und dient als Grundlage für epidemiologische Bewertungen und Empfehlungen für gesundheitspolitische Maßnahmen.
DOI: 10.5281/zenodo.17052133
title: GrippeWeb - Daten des Wochenberichts

description: Im Datensatz "GrippeWeb - Daten des Wochenberichts" des Robert Koch-Instituts werden wöchentliche, bevölkerungsbasierte Schätzungen zur Inzidenz akuter respiratorischer Erkrankungen (ARE) und grippeähnlicher Erkrankungen (ILI) in Deutschland bereitgestellt. GrippeWeb als Online-Portal zur partizipativen syndromischen Surveillance nutzt Selbstauskünfte freiwilliger, pseudonym registrierter Teilnehmender ab 16 Jahren zu Symptomen wie Husten, Fieber und Halsschmerzen. Daraus werden Inzidenzen nach Altersgruppen und Regionen errechnet. Die erhobenen Daten unterstützen die Überwachung saisonaler Infektionen und dienen der Risikobewertung in Pandemien wie COVID-19.
DOI: 10.15468/dl.s2rmxj
title: Occurrence Download

description: A dataset containing 1688 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Centaurea scabiosa cephalariifolia"
 ]
}

 The dataset includes 1688 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025115-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cr94rf
title: Occurrence Download

description: A dataset containing 1265 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bersama abyssinica",
 "Geometry POLYGON ((-17.62504 -34.81917, 51.13387 -34.81917, 51.13387 37.34999, -17.62504 37.34999, -17.62504 -34.81917))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1265 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025116-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1285/i22402772a2p1
title: Frontespizio e pagine iniziali
DOI: 10.1285/i22402772a2p3
title: Sommario
DOI: 10.1285/i22402772a2p5
title: Editoriale
DOI: 10.14457/tu.the.2024.521
title: An explainable Raman spectral analysis pipeline via nonnegative matrix factorization, machine learning, and Shapley additive explanations

description: Ink analysis plays a crucial role in providing valuable information to validate the authenticity of questioned documents in the forensic document examination (FDE) field, which is at risk due to the shrinking number of FDE personnel. Raman spectroscopy is a non-destructive and cost-effective method for capturing the unique spectral fingerprints of pen ink samples, yet conventional analysis method requires expert reading of the acquired spectra, which is labor-intensive. To address these gaps, this thesis proposes an explainable pipeline for Raman spectral classification to distinguish pen ink colors based on two experiments. Our 1,305 Raman spectra are collected from 53 blue pens, 42 black pens, and 50 red pens, each with a unique pen model. To improve the signal-to-noise ratio of Raman spectra for both experiments, preprocessing steps are applied, including cosmic ray removal, smoothing, baseline correction, despiking, and max normalization. Data augmentation is conducted to increase the training data. In our first experiment, the weights of the 48 non-negative matrix factorization (NMF) components were extracted from the preprocessed Raman spectra to be used as inputs for the Random Forest classifier, achieving a test accuracy of 0.8456. NMF allows underlying linear compositions of spectra associated with ink color classes to be observed, and SHapley Additive exPlanations (SHAP) then enables a quantification of the average impact of each NMF component on the classification. The scalar multiplication between NMF components, their weights, and their SHAP values enables a human-intuitive explanation of the model prediction results, capturing the unique Raman spectral patterns expected for each ink color class. In our second experiment, the 30 common peak locations in our preprocessed spectra are detected through peak detection and hierarchical clustering. Peak binning is conducted on each preprocessed spectrum to extract the aggregated value at each of 30 common peak locations. K-means clustering is conducted on our peak-binned spectra to investigate the inter-class and intra-class spectral patterns. The weights of the 21 NMF components extracted from the peak-binned spectra are used as inputs for the Random Forest classifier, achieving a test accuracy of 0.8380. SHAP quantifies the feature attribution and importance of each NMF component on model prediction, capturing the meaningful Raman spectral patterns expected for each ink color class at the level of common peak locations. Our thesis contributes an explainable spectral classification pipeline using NMF and SHAP, addressing the literature gaps in NMF applications for pen ink spectral analysis and laying the groundwork for future research on more complex ink analysis tasks to mitigate the personnel shortage issue in the FDE field
DOI: 10.14457/tu.the.2024.522
title: Enhancing resource allocation in semiconductor industry through data visualization and report automation

description: The semiconductor industry faces significant challenges in resource planning due to complex data management, fragmented automation systems, and project integration. These limitations lead to time-consuming manual data manipulation and reporting, hindering informed decision-making. This report proposes a real-time data visualization system to address this gap, specifically targeting the needs of the Thai semiconductor industry unlike existing research focused on generic dashboards. By centralizing data and improving connectivity between systems, the solution ensures real-time updates and facilitates clear project timelines through a user-friendly interface. The anticipated benefits are significant: a potential 90.56% reduction in weekly reporting time through automation adds expected results (from 13.25 hours to 1.25 hours) and empowers decision-making via real-time data visualization. This translates to increased cost-effectiveness through improved efficiency and streamlined processes. A pilot project will analyze the impact on lead time reduction, manufacturing operations, quality, and cost-effectiveness. While initial investments may be required for training and software, the projected return on investment (ROI) exceeding initial costs within a year makes this a compelling solution. This independent study has the potential to revolutionize resource planning practices and grant the Thai semiconductor industry a competitive edge in the global market.
DOI: 10.14457/tu.the.2024.523
title: Generative adversarial networks for generating synthetic breast ultrasound images from small datasets

description: While a large and diverse set of medical data is essential for the development of computer-aided diagnostic systems, accessing these datasets in the medical field is particularly challenging due to the need for expert annotators and concerns regarding patient privacy. Artificial Intelligence (AI), specifically Generative Adversarial Networks (GANs), have emerged as a promising solution for augmenting medical image datasets. However, GANs trained on small datasets often encounter issues such as collapse, overfitting, and instability, which result in the generation of unrealistic images. Therefore, we introduce enhanced Deep Convolutional GANs (DCGANs) to generate realistic synthetic breast ultrasound images (BUS) under data-limited conditions. The proposed approach consists of key modifications to the conventional DCGANs: Spectral Normalization (SN), Squeezeand-Excitation (SE) block, Scaled Exponential Linear Unit (SELU), label smoothing, and the use of a specific learning strategy. The evaluation results state that our proposed DCGAN outperforms selected state-of-the-art GANs in the Inception Score (IS), the Structural Similarity Index (SSIM), and the Mean Squared Error (MSE). Additionally, visual analysis results supported by five radiologists with over 15 years of clinical experience demonstrated that on average 64% of the synthetic images generated by our model were considered real images from an ultrasound (US) machine.