cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18602883
title: BIOCHEMICAL AND HORMONAL CHANGES DURING THE PROGRESS OF DIABETES IN CHILDREN WITH TYPE 1 DIABETES

description: Type 1 diabetes mellitus is a chronic endocrine disease commonly affecting children and adolescents, characterized not only by disorders of carbohydrate metabolism but also by changes in the hormonal system. The aim of this study was to perform a descriptive analysis of biochemical and hormonal changes in the course of type 1 diabetes mellitus in children and to determine the relationship between the level of glycemic control and the status of sex hormones. The study included 20 boys with type 1 diabetes mellitus in whom fasting blood glucose, glycated hemoglobin (HbA1c), as well as testosterone, luteinizing hormone (LH), and follicle-stimulating hormone (FSH) levels were assessed. The results showed that in patients with satisfactory glycemic control, sex hormone levels remained within age-appropriate reference ranges, whereas in children with poor glycemic control a decrease in hormonal parameters was observed. Non-adherence to insulin therapy and dietary recommendations may increase the risk of hormonal disorders and delayed pubertal development. The findings highlight the importance of optimizing glycemic control and regular monitoring of hormonal status in children with type 1 diabetes mellitus.
DOI: 10.5281/zenodo.18602882
title: BIOCHEMICAL AND HORMONAL CHANGES DURING THE PROGRESS OF DIABETES IN CHILDREN WITH TYPE 1 DIABETES

description: Type 1 diabetes mellitus is a chronic endocrine disease commonly affecting children and adolescents, characterized not only by disorders of carbohydrate metabolism but also by changes in the hormonal system. The aim of this study was to perform a descriptive analysis of biochemical and hormonal changes in the course of type 1 diabetes mellitus in children and to determine the relationship between the level of glycemic control and the status of sex hormones. The study included 20 boys with type 1 diabetes mellitus in whom fasting blood glucose, glycated hemoglobin (HbA1c), as well as testosterone, luteinizing hormone (LH), and follicle-stimulating hormone (FSH) levels were assessed. The results showed that in patients with satisfactory glycemic control, sex hormone levels remained within age-appropriate reference ranges, whereas in children with poor glycemic control a decrease in hormonal parameters was observed. Non-adherence to insulin therapy and dietary recommendations may increase the risk of hormonal disorders and delayed pubertal development. The findings highlight the importance of optimizing glycemic control and regular monitoring of hormonal status in children with type 1 diabetes mellitus.
DOI: 10.15468/dl.rau393
title: Occurrence Download

description: A dataset containing 389 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gnetum parvifolium",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 389 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006739-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18602809
title: UKBOL gap analysis raw data

description: Version 2

Run date: 2026-02-10Input data files for the analysis of UK species (from UKSI database) against barcode marker genes:1. COI (BOLD) =  BOLD_9Jan26-3.tar.gz (9th January 2026 public snapshot)2. RBCL (NCBI) = ncbi_rbcl_otu.tsv.gz (ncbi download 23rd January 2026)3. ITS (UNITE) = unite_tsv_output.tsv.gz (sh_general_release_s_all_19.02.2025 = https://doi.org/10.15156/BIO/3301232)4. 12S (MIDORI2) = midori_12S_otu.tsv.gz (MIDORI2_TOTAL_NUC_GB269)5. 16S (MIDORI2) = midori_16S_otu.tsv.gz (MIDORI2_TOTAL_NUC_GB269)6. UKSI species and synonyms list = uksi_species_export.tsv (version: 20251203)

Analysed using these scripts: https://github.com/ukbol/mind-the-gapPresented using these scripts: https://github.com/ukbol/speciesPresented on this website: https://ukbol.github.io/species/index.html

The overarching mind-map for the gap analysis process is included as gaplist-pipeline.pdf
DOI: 10.5281/zenodo.18388156
title: UKBOL gap analysis raw data

description: Version 2

Run date: 2026-02-10Input data files for the analysis of UK species (from UKSI database) against barcode marker genes:1. COI (BOLD) =  BOLD_9Jan26-3.tar.gz (9th January 2026 public snapshot)2. RBCL (NCBI) = ncbi_rbcl_otu.tsv.gz (ncbi download 23rd January 2026)3. ITS (UNITE) = unite_tsv_output.tsv.gz (sh_general_release_s_all_19.02.2025 = https://doi.org/10.15156/BIO/3301232)4. 12S (MIDORI2) = midori_12S_otu.tsv.gz (MIDORI2_TOTAL_NUC_GB269)5. 16S (MIDORI2) = midori_16S_otu.tsv.gz (MIDORI2_TOTAL_NUC_GB269)6. UKSI species and synonyms list = uksi_species_export.tsv (version: 20251203)

Analysed using these scripts: https://github.com/ukbol/mind-the-gapPresented using these scripts: https://github.com/ukbol/speciesPresented on this website: https://ukbol.github.io/species/index.html

The overarching mind-map for the gap analysis process is included as gaplist-pipeline.pdf
DOI: 10.5281/zenodo.18602880
title: Hybrid Intelligent Situational Analysis System for Cloud Incident Management

description: # Hybrid Intelligent Situational Analysis System for Cloud Incident Management

This archive contains all artefacts required to reproduce the experimental resultsreported in the paper *Hybrid Intelligent Situational Analysis System for Cloud Incident Management*.

The materials are organised in accordance with Q1 journal reproducibility and transparency requirements(MDPI / Elsevier / IEEE best practices).
DOI: 10.5281/zenodo.18602879
title: Hybrid Intelligent Situational Analysis System for Cloud Incident Management

description: # Hybrid Intelligent Situational Analysis System for Cloud Incident Management

This archive contains all artefacts required to reproduce the experimental resultsreported in the paper *Hybrid Intelligent Situational Analysis System for Cloud Incident Management*.

The materials are organised in accordance with Q1 journal reproducibility and transparency requirements(MDPI / Elsevier / IEEE best practices).
DOI: 10.15468/dl.3qw3xf
title: Occurrence Download

description: A dataset containing 8185 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ipomoea quamoclit",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 8185 records from 330 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006741-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.guvkta
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Lonchophylla orienticollina"
 ]
}

 The dataset includes 27 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006740-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5vke85
title: Occurrence Download

description: A dataset containing 126880 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Field Museum of Natural History (Zoology) Fish Collection"
 ]
}

 The dataset includes 126880 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006730-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k5symb
title: Occurrence Download

description: A dataset containing 12685 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amblema plicata",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is MANAGED"
 ]
 }
 },
 {
 "not" : {
 "EstablishmentMeans" : [
 "is not null"
 ]
 }
 }
 ]
 },
 {
 "or" : [
 "OccurrenceStatus is Present",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is not null"
 ]
 }
 }
 ]
 }
 ]
}

 The dataset includes 12685 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006742-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/h37nwv
title: Invertebrata varia (Luomus)

description: Several aquatic non-insect invertebrate groups of the Luomus MZH collection, including Crustacea, Cnidaria, Echinodermata, Bryozoa and others (but excluding Mollusca, Annelida, Platyhelminthes, Nematoda and parasitic worms).
DOI: 10.5281/zenodo.18298900
title: Autonomous Underwater Vehicle Sentry Data along East Pacific Rise

description: Near-bottom magnetic data was collected at the

1) Sentry Dive 750: South East Pacific Rise, at 19°S, on R/V Atlantis during 2024 AT50-31 cruise

2) Sentry Dive 582: North East Pacific Rise, at 9°51'N, on R/V Roger Revelle during 2021 RR2102 cruise.

Track lines were spaced 170 m apart, with Sentry about 70 m above bottom, collecting magnetic data using three Applied Physics Systems Model 1540 triaxial fluxgate magnetometers mounted on AUV Sentry. Sentry navigation was obtained using a 300 kHz Teledyne Doppler velocity log (DVL) and a Sonardyne AvTrak2 ultra-short baseline (USBL) acoustic positioning system, combined with an iXblue Phins inertial navigation system (INS), and a Paroscientific 8B7000-I Digiquartz depth sensor. The three-component magnetic data is in MATLAB binary format, one file per Sentry dive, with z being the observed magnetic field. The MATLAB data structure includes X,Y,Z component fluxgate data for each of three sensors where X,Y,Z are in sensor coordinates. The data structure also contains time, latitude, longitude, depth, altitude, roll, pitch, heading, and temperature. The Sentry dive number is given in the file name.  Funding was provided by National Science Foundation awards OCE-1948936 (for north East Pacific Rise) and OCE-212830 (south East Pacific Rise).
DOI: 10.5281/zenodo.18298901
title: Autonomous Underwater Vehicle Sentry Data along East Pacific Rise

description: Near-bottom magnetic data was collected at the

1) Sentry Dive 750: South East Pacific Rise, at 19°S, on R/V Atlantis during 2024 AT50-31 cruise

2) Sentry Dive 582: North East Pacific Rise, at 9°51'N, on R/V Roger Revelle during 2021 RR2102 cruise.

Track lines were spaced 170 m apart, with Sentry about 70 m above bottom, collecting magnetic data using three Applied Physics Systems Model 1540 triaxial fluxgate magnetometers mounted on AUV Sentry. Sentry navigation was obtained using a 300 kHz Teledyne Doppler velocity log (DVL) and a Sonardyne AvTrak2 ultra-short baseline (USBL) acoustic positioning system, combined with an iXblue Phins inertial navigation system (INS), and a Paroscientific 8B7000-I Digiquartz depth sensor. The three-component magnetic data is in MATLAB binary format, one file per Sentry dive, with z being the observed magnetic field. The MATLAB data structure includes X,Y,Z component fluxgate data for each of three sensors where X,Y,Z are in sensor coordinates. The data structure also contains time, latitude, longitude, depth, altitude, roll, pitch, heading, and temperature. The Sentry dive number is given in the file name.  Funding was provided by National Science Foundation awards OCE-1948936 (for north East Pacific Rise) and OCE-212830 (south East Pacific Rise).
DOI: 10.15468/dl.xazd3x
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tetragonopterus kuluene",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 16 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006744-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pn4qzd
title: Occurrence Download

description: A dataset containing 129 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Atriplex dimorphostegia"
 ]
}

 The dataset includes 129 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006747-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u6ykch
title: Occurrence Download

description: A dataset containing 142 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, kingdom, phylum, class, "order", family, genus, species, scientificname, decimallatitude, decimallongitude, eventdate, institutioncode, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= 66.79314043790278
 AND decimallatitude &lt;= 72.77152049497572
 AND decimallongitude &gt;= -43.19981080130058
 AND decimallongitude &lt;= -26.940117688896233
 AND GBIF_Within('POLYGON ((-26.940118 66.793140, -26.940118 72.771520, -43.199811 72.771520, -43.199811 66.793140, -26.940118 66.793140))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 142 records were derived from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006735-260208012135463/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.31310398
title: The Quantum Mindfulness Framework: Formal Architecture and Mathematical Logic

description: <b>Title:</b> The Quantum Mindfulness Framework: Formal Architecture and Mathematical Logic<b>Summary:</b>This module serves as the primary computational engine and logical foundation of the "Quantum Mindfulness Framework." It formalizes the dynamic relationships between psychological states and cognitive activation through rigorous mathematical modeling.<b>Scope:</b>This specific module contains the axiomatic definitions for the system's mathematical engine, including the formalization of activation influences, state-field collapses, and sigmoid-based transitions ($Kj$, $\alpha, \beta$ parameters). It provides the structure necessary for translating psychodynamic theory into a machine-readable, interoperable format.<b>Technical Specifications:</b><b>Format:</b> OWL/XML (W3C Standard)<b>Namespace:</b>https://doi.org/10.6084/m9.figshare.31310398<b>Key Logic:</b> Mathematical formalization of cognitive state transitions and trait/state variable interactions.<b>Languages:</b> English and Spanish (Bilingual Annotations)<b>Framework Context:</b>This is module 1 of 12. For the full integrated system, please refer to the "Quantum Mindfulness Master Framework" hosted on OSF, which serves as the central hub for the aggregated architecture.
DOI: 10.6084/m9.figshare.31310398.v1
title: The Quantum Mindfulness Framework: Formal Architecture and Mathematical Logic

description: <b>Title:</b> The Quantum Mindfulness Framework: Formal Architecture and Mathematical Logic<b>Summary:</b>This module serves as the primary computational engine and logical foundation of the "Quantum Mindfulness Framework." It formalizes the dynamic relationships between psychological states and cognitive activation through rigorous mathematical modeling.<b>Scope:</b>This specific module contains the axiomatic definitions for the system's mathematical engine, including the formalization of activation influences, state-field collapses, and sigmoid-based transitions ($Kj$, $\alpha, \beta$ parameters). It provides the structure necessary for translating psychodynamic theory into a machine-readable, interoperable format.<b>Technical Specifications:</b><b>Format:</b> OWL/XML (W3C Standard)<b>Namespace:</b>https://doi.org/10.6084/m9.figshare.31310398<b>Key Logic:</b> Mathematical formalization of cognitive state transitions and trait/state variable interactions.<b>Languages:</b> English and Spanish (Bilingual Annotations)<b>Framework Context:</b>This is module 1 of 12. For the full integrated system, please refer to the "Quantum Mindfulness Master Framework" hosted on OSF, which serves as the central hub for the aggregated architecture.
DOI: 10.6075/j0862dtg
title: CalCOFI 1207OS Cruise Data. In California Cooperative Oceanic Fisheries Investigations (CalCOFI): Acoustic and Trawl Data

description: Acoustic backscattering data were collected between stations using a hull-mounted Simrad EK60 split-beam echo sounder equipped with five frequencies (18, 38, 70, 120, and 200kHz). The EK60 was calibrated before each cruise using the standard sphere method (Foote et al., 1987). Pulse length was set to 1.024ms with a ping rate of 0.5s_1. Beam angles were 71 for the 38kHz transducers and111 for the 18 kHz. Power for both 18 and 38kHz transducers was 2kW. As the three highest frequencies did not reliably penetrate to the depth of the daytime deep scattering layer (DSL) at the vessel transit speed (10knot), they were not used in this study. Acoustic data were processed and noise removed using Echoview software. Nautical area scattering coefficient (NASC) was calculated over 100m distance segments by 5m depth intervals. See Davison et al. (2015a) for further details of acoustic data analysis methods.
DOI: 10.15468/dl.dfmgkq
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Otostegia modesta"
 ]
}

 The dataset includes 40 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006748-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6075/j0mc8xcz
title: CalCOFI 1411NH Cruise Data. In California Cooperative Oceanic Fisheries Investigations (CalCOFI): Acoustic and Trawl Data

description: Acoustic backscattering data were collected between stations using a hull-mounted Simrad EK60 split-beam echo sounder equipped with five frequencies (18, 38, 70, 120, and 200kHz). The EK60 was calibrated before each cruise using the standard sphere method (Foote et al., 1987). Pulse length was set to 1.024ms with a ping rate of 0.5s_1. Beam angles were 71 for the 38kHz transducers and111 for the 18 kHz. Power for both 18 and 38kHz transducers was 2kW. As the three highest frequencies did not reliably penetrate to the depth of the daytime deep scattering layer (DSL) at the vessel transit speed (10knot), they were not used in this study. Acoustic data were processed and noise removed using Echoview software. Nautical area scattering coefficient (NASC) was calculated over 100m distance segments by 5m depth intervals. See Davison et al. (2015a) for further details of acoustic data analysis methods.
DOI: 10.6075/j05d8q6j
title: CalCOFI 1101NH Cruise Data. In California Cooperative Oceanic Fisheries Investigations (CalCOFI): Acoustic and Trawl Data

description: Acoustic backscattering data were collected between stations using a hull-mounted Simrad EK60 split-beam echo sounder equipped with five frequencies (18, 38, 70, 120, and 200kHz). The EK60 was calibrated before each cruise using the standard sphere method (Foote et al., 1987). Pulse length was set to 1.024ms with a ping rate of 0.5s_1. Beam angles were 71 for the 38kHz transducers and111 for the 18 kHz. Power for both 18 and 38kHz transducers was 2kW. As the three highest frequencies did not reliably penetrate to the depth of the daytime deep scattering layer (DSL) at the vessel transit speed (10knot), they were not used in this study. Acoustic data were processed and noise removed using Echoview software. Nautical area scattering coefficient (NASC) was calculated over 100m distance segments by 5m depth intervals. See Davison et al. (2015) for further details of acoustic data analysis methods.
DOI: 10.6075/j0t43rfb
title: CalCOFI 0911NH Cruise Data. In California Cooperative Oceanic Fisheries Investigations (CalCOFI): Acoustic and Trawl Data

description: Acoustic backscattering data were collected between stations using a hull-mounted Simrad EK60 split-beam echo sounder equipped with five frequencies (18, 38, 70, 120, and 200kHz). The EK60 was calibrated before each cruise using the standard sphere method (Foote et al., 1987). Pulse length was set to 1.024ms with a ping rate of 0.5s_1. Beam angles were 71 for the 38kHz transducers and111 for the 18 kHz. Power for both 18 and 38kHz transducers was 2kW. As the three highest frequencies did not reliably penetrate to the depth of the daytime deep scattering layer (DSL) at the vessel transit speed (10knot), they were not used in this study. Acoustic data were processed and noise removed using Echoview software. Nautical area scattering coefficient (NASC) was calculated over 100m distance segments by 5m depth intervals. See Davison et al. (2015a) for further details of acoustic data analysis methods.
DOI: 10.6075/j09z937p
title: CalCOFI 1108NH Cruise Data. In California Cooperative Oceanic Fisheries Investigations (CalCOFI): Acoustic and Trawl Data

description: Acoustic backscattering data were collected between stations using a hull-mounted Simrad EK60 split-beam echo sounder equipped with five frequencies (18, 38, 70, 120, and 200kHz). The EK60 was calibrated before each cruise using the standard sphere method (Foote et al., 1987). Pulse length was set to 1.024ms with a ping rate of 0.5s_1. Beam angles were 71 for the 38kHz transducers and111 for the 18 kHz. Power for both 18 and 38kHz transducers was 2kW. As the three highest frequencies did not reliably penetrate to the depth of the daytime deep scattering layer (DSL) at the vessel transit speed (10knot), they were not used in this study. Acoustic data were processed and noise removed using Echoview software. Nautical area scattering coefficient (NASC) was calculated over 100m distance segments by 5m depth intervals. See Davison et al. (2015a) for further details of acoustic data analysis methods.
DOI: 10.6075/j0xw4h5r
title: CalCOFI 0901NH Cruise Data. In California Cooperative Oceanic Fisheries Investigations (CalCOFI): Acoustic and Trawl Data

description: Acoustic backscattering data were collected between stations using a hull-mounted Simrad EK60 split-beam echo sounder equipped with five frequencies (18, 38, 70, 120, and 200kHz). The EK60 was calibrated before each cruise using the standard sphere method (Foote et al., 1987). Pulse length was set to 1.024ms with a ping rate of 0.5s_1. Beam angles were 71 for the 38kHz transducers and111 for the 18 kHz. Power for both 18 and 38kHz transducers was 2kW. As the three highest frequencies did not reliably penetrate to the depth of the daytime deep scattering layer (DSL) at the vessel transit speed (10knot), they were not used in this study. Acoustic data were processed and noise removed using Echoview software. Nautical area scattering coefficient (NASC) was calculated over 100m distance segments by 5m depth intervals. See Davison et al. (2015a) for further details of acoustic data analysis methods.