cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/wpgzgj
title: Nachentwurf – Fairchild Dornier 728JET

description: Im Rahmen der Vorlesung Flugzeugentwurf an der HAW Hamburg im Sommersemester 2020, unter der Regie von Prof. Dr.-Ing. Dieter Scholz, wird in dieser theoretischen Arbeit der Nachentwurf einer „Fairchild Dornier 728JET“ durchgeführt. Die Fairchild Dornier 728JET war ein zweistrahliges Schmalrumpfflugzeug mit Drachenkonfiguration für den Kurzstreckenverkehr, das jedoch nicht in Produktion ging. Ein Flugzeugentwurf ist ein iterativer Prozess. Im Sommersemester 2020 stehen, neben dem eigentlichen Flugzeugentwurf, thematisch Excel basierte Entwurfswerkzeuge im Fokus, die von Studenten und Prof. Dr.-Ing. Dieter Scholz fortlaufend optimiert werden und das Ziel haben, mit einigen Eingangsparametern erste Entwurfsparameter zu liefern. Die Vordimensionierung erfolgt anhand der Anforderungen an das Flugzeug und aus den Luftfahrtvorschriften nach CS- 25 / FAR Part 25. Im Fall eines Nachentwurfs sind die Top Level Aircraft Requirements (TLARs) durch die Daten des Flugzeugs, hier eine Fairchild Dornier 728JET, eindeutig definiert. Über die zugrunde liegenden Gleichungen der Vorlesungsunterlagen werden die einzelnen Flugzeugsegmente (Rumpf, Kabine, Flügel, Hochauftriebshilfen, Leitwerke, Fahrwerke) ausgelegt. Die in Excel programmierten Entwurfswerkzeuge basieren auf den entsprechenden Gleichungen und bieten den Vorteil mit überschaubarem Aufwand schnell Ergebnisse zu liefern. Darüber hinaus werden die Auftriebs- und Widerstandsbeiwerte, Massenprognosen, Schwerpunkten sowie Polare bestimmt und im Anschluss eine Entwurfsbewertung (Direct Operating Costs, DOC) durchgeführt. Schlussendlich wird der Entwurf anhand der generierten Parameter über ein 3D-Model visualisiert. Dabei fungiert das Open Vehicle Sketch Pad (OpenVSP) der NASA als Tool zur 3D-Visualisierung. Final werden die ermittelten Entwurfsgrößen mit den tatsächlichen Daten einer Fairchild Dornier 728JET verglichen. Dabei steigt die Güte des Entwurfs mit sinkenden Abweichungen zum Original. Die Abweichung der Ergebnisse des Nachentwurfes dieser theoretischen Arbeit gehen von 0 % bis 48 %. Die Abweichungen sind mit Ausnahme des Höhenleitwerks überschaubar und zeigen, dass die angewandten Methoden und excelbasierten Entwurfswerkzeuge zu realitätsnahen Ergebnissen führen..
description: Digital Library - Projects and Theses - Prof. Dr. Scholz
description: Excel
DOI: 10.5281/zenodo.18760762
title: RISK MANAGEMENT IN HEALTHCARE INSTITUTIONS

description: The healthcare system plays a crucial role in ensuring public well-being and social stability. Providing safe, effective, and high-quality medical services is a primary responsibility of healthcare institutions. However, the complexity of medical procedures, rapid technological development, increasing patient expectations, and organizational challenges create various risks that may negatively affect patient outcomes and institutional performance.

 

Risk in healthcare refers to the possibility of events that can cause harm to patients, healthcare professionals, or the organization. Clinical errors, communication failures, inadequate staffing, financial instability, legal issues, and technological malfunctions are among the most common risks faced by healthcare institutions. Many adverse events occur not only because of individual mistakes but also due to systemic weaknesses within healthcare processes.
DOI: 10.5281/zenodo.18760761
title: RISK MANAGEMENT IN HEALTHCARE INSTITUTIONS

description: The healthcare system plays a crucial role in ensuring public well-being and social stability. Providing safe, effective, and high-quality medical services is a primary responsibility of healthcare institutions. However, the complexity of medical procedures, rapid technological development, increasing patient expectations, and organizational challenges create various risks that may negatively affect patient outcomes and institutional performance.

 

Risk in healthcare refers to the possibility of events that can cause harm to patients, healthcare professionals, or the organization. Clinical errors, communication failures, inadequate staffing, financial instability, legal issues, and technological malfunctions are among the most common risks faced by healthcare institutions. Many adverse events occur not only because of individual mistakes but also due to systemic weaknesses within healthcare processes.
DOI: 10.15468/dl.w6gsc7
title: Occurrence Download

description: A dataset containing 2145 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-126.41402 -35.49791,-30.11654 -35.49791,-30.11654 45.6941,-126.41402 45.6941,-126.41402 -35.49791))",
 "TaxonKey is Emilia fosbergii"
 ]
}

 The dataset includes 2145 records from 210 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007574-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18119/n9sw4d
title: PB2 interactome in eHAP WT and ANP32-KO cells
DOI: 10.15468/dl.w5cpu8
title: Occurrence Download

description: A dataset containing 260882 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Digitalización y Sistematización de las Colecciones Biológicas Nacionales del Instituto de Biología, UNAM (CNIN)"
 ]
}

 The dataset includes 260882 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007580-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y896vb
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Manis crassicaudata"
 ]
}

 The dataset includes 58 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007575-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6p5cza
title: Occurrence Download

description: A dataset containing 188233 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Atlas de las Aves de México: Fase II"
 ]
}

 The dataset includes 188233 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007581-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p133j2ya
title: Survival and bioaccumulation data for arctic grayling (Thymallus arcticus) exposed to 6PPDQ

description: This data set includes survival data for arctic grayling exposed to various concentrations of 6PPD-quinone (6PPDQ) for up to 96 hours. Concurrently collected analytical water chemistry and general water quality measurements are included. In addition, tissue concentrations of 6PPDQ for fish that died during exposure and those that survived to the end of the exposure are included.
DOI: 10.15468/dl.easgqh
title: Occurrence Download

description: A dataset containing 481 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Menemerus bivittatus",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 481 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007576-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.579k2d
title: Occurrence Download

description: A dataset containing 1040452 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((10.59481 50.88769,13.95123 50.88769,13.95123 53.53106,10.59481 53.53106,10.59481 50.88769))",
 "Year 2017-2026"
 ]
}

 The dataset includes 1040452 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007568-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15472/xjrxuh
title: Banco de semillas del suelo en un escenario ecosistémico de bosque con presencia de Ulex europaeus L.

description: La información relacionada está enmarcada en los contratos de prestación de servicios números 619 del 2025, 697 del 2025 y 959 del 2025. El presente estudio evaluó la composición, abundancia, viabilidad y capacidad de germinación del banco de semillas del suelo en un área invadida por Ulex europaeus L. con el fin de comprender su papel en la persistencia de la invasión y sus implicaciones para los procesos de restauración ecológica, se realizó un muestreo del banco de semillas en dos áreas con diferentes etapa de invasión de retamo espinoso, una área en recuperación, asimismo, se evaluaron los cambios en el banco de semillas dos meses después de la remoción del dosel o biomasa aérea de la especie invasora.Para el muestreo del banco de semillas, se extrajeron muestras de suelo con un cilindro de cinco cm de diámetro por cinco cm de altura, se tomaron seis muestras por transecto estas fueron recolectadas durante el levantamiento de la línea base, las muestras fueron empacadas individualmente en bolsas plásticas, marcadas y trasladadas al laboratorio de la subdirección científica para su procesamiento, además, en el área donde se realizó el control, es decir, en el matorral de retamo intermedio, se tomaron nuevamente muestras de suelo para el análisis del banco de semillas dos meses después de la actividad de control. Se emplearon dos metodologías para la estimación del banco de semillas, germinación y conteo directo, como resultado se entrega la base de datos con 5211 registros tomado entre mayo y noviembre de 2025.
DOI: 10.5281/zenodo.18760785
title: SERUMCREATININEANDBLOODUREANITROGENLEVELSINPATIENTSWITHCHRONICRENALFAILURE:ACASE–CONTROLSTUDY

description: Background:Theconsequencesofchronickidneydisease(CKD)aremanifestedinprogressiveimpairedkidneyfunctioningandworseningoftheabilitytogetridofnitrogenouswasteproducts.Objective:Thepurposeofthestudywasnotonlytodeterminetheamountofserumcreatinineandbloodureanitrogen(BUN)ofthepatientswithchronicrenalfailure,butalsotocomparetheresultsofthestudywithnormalvalues.Methods:Itwasacross-sectionalstudywhere30healthycontrolsand60participantswhohadlong-termrenalfailurewereinvestigated.Anautomatedanalyzer(chemical)wasusedtodeterminethecreatinineandBUNlevelsoftheserum.Results:SerumcreatinineandBUNlevelsweresubstantiallyhigherinthechronicrenalfailuregroupthaninthecontrolgroup(p<0.05)forbothgendersandagegroups.Conclusion:BiochemicalevidenceofkidneyfailureistheappropriateuseofserumcreatinineandBUN,whichcanalsobeeffectiveindeterminingthemagnitudeofchronicrenalfailure
DOI: 10.5281/zenodo.18760784
title: SERUMCREATININEANDBLOODUREANITROGENLEVELSINPATIENTSWITHCHRONICRENALFAILURE:ACASE–CONTROLSTUDY

description: Background:Theconsequencesofchronickidneydisease(CKD)aremanifestedinprogressiveimpairedkidneyfunctioningandworseningoftheabilitytogetridofnitrogenouswasteproducts.Objective:Thepurposeofthestudywasnotonlytodeterminetheamountofserumcreatinineandbloodureanitrogen(BUN)ofthepatientswithchronicrenalfailure,butalsotocomparetheresultsofthestudywithnormalvalues.Methods:Itwasacross-sectionalstudywhere30healthycontrolsand60participantswhohadlong-termrenalfailurewereinvestigated.Anautomatedanalyzer(chemical)wasusedtodeterminethecreatinineandBUNlevelsoftheserum.Results:SerumcreatinineandBUNlevelsweresubstantiallyhigherinthechronicrenalfailuregroupthaninthecontrolgroup(p<0.05)forbothgendersandagegroups.Conclusion:BiochemicalevidenceofkidneyfailureistheappropriateuseofserumcreatinineandBUN,whichcanalsobeeffectiveindeterminingthemagnitudeofchronicrenalfailure
DOI: 10.21227/s0qw-mb45
title: "QF-LOG: Quantum Forensic Dataset for QKD Networks"

description: "This dataset is a set of logs from a quantum key distribution network, made to help detect attacks using normal system records. It has 50,000 labeled entries, and each entry includes four values like error rate, photon count, delay, and whether the system stopped the session. The data is split into four equal parts with 12,500 samples each: normal behavior, partial intercept resend, detector blinding, and fiber-related issues. Some values are meant to overlap so the task feels real and not too easy. The delay numbers describe processing and buffering inside the controller, not the time light takes to travel through the fiber. It also comes with Python scripts that can recreate the data, train models, test them with 5-fold validation, and remake charts like PCA and feature importance."
DOI: 10.15468/dl.837p3m
title: Occurrence Download

description: A dataset containing 1258868581 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1258868581 records from 6808 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007363-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1404754.10fu
title: SH1404754.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1404755.10fu
title: SH1404755.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1404756.10fu
title: SH1404756.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1404757.10fu
title: SH1404757.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1404760.10fu
title: SH1404760.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.5517/cc7klq2
title: CCDC 225454: Experimental Crystal Structure Determination

description: Related Article: F.Garcia, A.D.Hopkins, S.M.Humphrey, M.McPartlin, M.C.Rogers, D.S.Wright|2004|Dalton Trans.||361|doi:10.1039/b315503j
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: 10.5517/cc7kzd4
title: CCDC 225816: Experimental Crystal Structure Determination

description: Related Article: M.Said, D.L.Hughes, M.Bochmann|2004|Dalton Trans.||359|doi:10.1039/b315711c
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: 10.5517/cc7j4tp
title: CCDC 224062: Experimental Crystal Structure Determination

description: Related Article: M.Tamm, T.Bannenberg, R.Frohlich, S.Grimme, M.Gerenkamp|2004|Dalton Trans.||482|doi:10.1039/b314347c
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: 10.5517/cc7j4vq
title: CCDC 224063: Experimental Crystal Structure Determination

description: Related Article: M.Tamm, T.Bannenberg, R.Frohlich, S.Grimme, M.Gerenkamp|2004|Dalton Trans.||482|doi:10.1039/b314347c
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: 10.5517/cc7j4wr
title: CCDC 224064: Experimental Crystal Structure Determination

description: Related Article: M.Tamm, T.Bannenberg, R.Frohlich, S.Grimme, M.Gerenkamp|2004|Dalton Trans.||482|doi:10.1039/b314347c
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: 10.5517/cc7j4xs
title: CCDC 224065: Experimental Crystal Structure Determination

description: Related Article: M.Tamm, T.Bannenberg, R.Frohlich, S.Grimme, M.Gerenkamp|2004|Dalton Trans.||482|doi:10.1039/b314347c
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: 10.5517/cc7j4yt
title: CCDC 224066: Experimental Crystal Structure Determination

description: Related Article: M.Tamm, T.Bannenberg, R.Frohlich, S.Grimme, M.Gerenkamp|2004|Dalton Trans.||482|doi:10.1039/b314347c
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: 10.5517/cc7j4zv
title: CCDC 224067: Experimental Crystal Structure Determination

description: Related Article: M.Tamm, T.Bannenberg, R.Frohlich, S.Grimme, M.Gerenkamp|2004|Dalton Trans.||482|doi:10.1039/b314347c
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.