cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.zzeps5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Closterium abruptum West",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.628 -23.023,35.6007 -22.9702,35.6007 -23.165,35.628 -23.023))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057143-250525065834625/datasets/export for details.
DOI: 10.57745/uutufx
title: 2_HERNIA_SAC_MASK.zip

description: :unav
DOI: 10.57745/ntxjoc
title: 7_LINEA_ALBA_3_sections.zip

description: :unav
DOI: 10.57745/q43siq
title: Indexes_beginning_end.zip

description: :unav
DOI: 10.57745/zcw485
title: Morphometric_data.zip

description: :unav
DOI: 10.57745/2nne0n
title: 1_ANAT.zip

description: :unav
DOI: 10.57745/eamfqb
title: MRI_sequences_details_csv.zip

description: :unav
DOI: 10.57745/vqcok3
title: 4_ABDOMINAL_MUSCLES_MASK.zip

description: :unav
DOI: 10.57745/ckrl1a
title: 6_LINEA_ALBA.zip

description: :unav
DOI: 10.57745/auz4nq
title: 3_VISCERAL_AREA_MASK.zip

description: :unav
DOI: 10.57745/goefq6
title: 8_ALL_ABDOMEN_MASK.zip

description: :unav
DOI: 10.57745/zycgvo
title: 10_DORSAL_MUSCLES_MASK.zip

description: :unav
DOI: 10.57745/iwyqzb
title: 9_SUBCUTANEOUS_FAT_MASK.zip

description: :unav
DOI: 10.57745/4j3ty2
title: 5_AORTA_MASK.zip

description: :unav
DOI: 10.57745/z7nu8u
title: 0_README.md

description: :unav
DOI: 10.15468/dl.cdmzmc
title: Occurrence Download

description: A dataset containing 149 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "Geometry POLYGON((-103.09054 -18.34924,-28.90946 -18.34924,-28.90946 11.34924,-103.09054 11.34924,-103.09054 -18.34924))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Phyllomedusa tomopterna (Cope, 1868)"
 ]
}

 The dataset includes 149 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057144-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r75ggc
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is AGO.10.10_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Turdus libonyana (A.Smith, 1836)"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057145-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4rsqbs
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acapoeta tanganicae (Boulenger, 1900)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((37.1382 -6.9401,28.1382 -6.9401,28.1382 -15.9401,37.1382 -15.9401,37.1382 -6.9401))"
 ]
}

 The dataset includes 54 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057146-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4yy5qm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Closterium abruptum West",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.6306 -23.844,35.6007 -23.8125,35.6007 -24.0157,35.6306 -23.844))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057149-250525065834625/datasets/export for details.
DOI: 10.14284/750
title: Hyperspectral reflectance dataset for dry, wet and submerged plastics in clear and turbid water

description: This work presents a hyperspectral reflectance dataset of macroplastic samples.The dataset has been updated. Therefore, please use and refer to the updated version of the dataset. The details of the updates can be found in the README file.
description: This work presents a hyperspectral reflectance dataset of macroplastic samples. Samples analyzed consisted of pristine, artificially weathered and biofouled plastic specimens, and field samples collected in the docks of the Port of Antwerp and from the river Scheldt, near Temse Bridge (Belgium). The hyperspectral signal was measured in controlled conditions in an optical calibration facility, and, for a set of plastic specimens in a mesocosm setting that mimicked environmentally relevant concentrations of microalgae, changing levels of dissolved sediment or clear water. All the hyperspectral measurements were obtained using an Analytical Spectral Devices FieldSpec 4. The instrument was equipped with a 8° field of view at the calibration facility, while a 1° field of view was used in the mesocosm setting.
DOI: 10.5281/zenodo.15667865
title: Unsupervised Approach for Electric Signal Separation in Gnathonemus petersii: Linking Behavior and Electrocommunication (Labeled Dataset)

description: This dataset comprises electric signals from five individuals of Gnathonemus petersii recorded separately, and in all possible dyadic combinations with corresponding annotations of electric organ discharges (EODs). These supplementary data are intended for the validation of our novel unsupervised approach for separating EODs from two free-swimming individuals. For detailed information regarding the dataset structure, please refer to the README file. A comprehensive description of the recording methodology is available in our preprint (see Additional details).
DOI: 10.5281/zenodo.15667864
title: Unsupervised Approach for Electric Signal Separation in Gnathonemus petersii: Linking Behavior and Electrocommunication (Labeled Dataset)

description: This dataset comprises electric signals from five individuals of Gnathonemus petersii recorded separately, and in all possible dyadic combinations with corresponding annotations of electric organ discharges (EODs). These supplementary data are intended for the validation of our novel unsupervised approach for separating EODs from two free-swimming individuals. For detailed information regarding the dataset structure, please refer to the README file. A comprehensive description of the recording methodology is available in our preprint (see Additional details).
DOI: 10.15468/dl.axr79c
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "Geometry POLYGON((-85.42031 -8.27582,-41.57969 -8.27582,-41.57969 9.27582,-85.42031 9.27582,-85.42031 -8.27582))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Potomotyphlus kaupii (Berthold, 1859)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057151-250525065834625/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.29365979
title: Dataset_Nutrients addition.xlsx

description: nutrients addition on microbial necromass accumulation in soils
DOI: 10.6084/m9.figshare.29365979.v1
title: Dataset_Nutrients addition.xlsx

description: nutrients addition on microbial necromass accumulation in soils
DOI: 10.15468/dl.ue4pmw
title: Occurrence Download

description: A dataset containing 702111 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pinus thunbergii Parl., Picea abies (L.) H.Karst., Populus balsamifera L., Salix lucida Muhl., Angelica archangelica L.)",
 "Geometry POLYGON ((-180 45.53015, 180 45.53015, 180 83.62313, -180 83.62313, -180 45.53015))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "CoordinateUncertaintyInMeters is less than or equal to 50000"
 ]
}

 The dataset includes 702111 records from 807 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057123-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/af8my7
title: NHMD Mycology Collection

description: The fungal collections (The Fungarium) contain approximately 250.000 specimens of fungi with special emphasis on Nordic specimens, including Greenland and the Faroe Islands. Recently, the collections from the former Copenhagen Plant Pathological Collections (CP) have also been included.

The collections go back to the early 1800s. Examples of important parts of the collections are materials from Emil Rostrup, Emil Chr. Hansen, Knud Hauerslev, Jan Vesterholt and the recent national fungi atlas project, ‘Svampeatlas-projektet’.

The collections also contain extensive material from important international exsiccata (dried herbarium specimens).
DOI: 10.15468/dl.h9gw6q
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "OccurrenceStatus is Present",
 "TaxonKey is Liolaemus omorfi Demangel, Sepúlveda, Jara, Pincheira-Donoso & Núñez, 2015"
 ]
}

 The dataset includes 15 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057152-250525065834625/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.29366060
title: Supplementary Material for: Sexually Transmitted Infections in Prostate Cancer: A Prospective Multicenter Analysis

description: Objective: Chronic inflammation and infections have been implicated in prostate cancer (PCa) pathogenesis. The association between sexually transmitted infections (STIs) and PCa remains inconclusive. The objective was to evaluate the presence of STI-related pathogens in patients with PCa compared to a control group.
Methods: A prospective multicenter study involving 239 male patients with a clinical suspicion of PCa was conducted. Among the participants, 176 had histologically confirmed PCa, while 63 served as controls with benign histology. Urine, glans swabs, and prostate biopsy specimens were collected from each participant and analyzed using polymerase chain reaction (PCR) to detect a broad panel of STI-causing pathogens, including Candida spp., Chlamydia trachomatis, Mycoplasma genitalium, Neisseria gonorrhoeae, Trichomonas vaginalis, herpes simplex virus types 1 and 2, and human papillomavirus.
Results: A total of 717 samples were processed. The detection frequency of STI-related pathogens was relatively low across all sample types. Mycoplasma genitalium was the most frequently detected pathogen, particularly in prostate biopsy samples. No statistically significant association was found between the presence of these pathogens and the incidence of PCa. Neisseria gonorrhoeae and Candida spp. were not detected in any of the samples.
Conclusion: This study did not find a statistically significant association between the presence of STIs and PCa. The low prevalence of STI pathogens despite the use of highly sensitive PCR methods suggests that these infections may play a limited role in prostate carcinogenesis. Future research should consider focusing on the role of the urinary and prostatic microbiome in chronic prostatic inflammation.
DOI: 10.6084/m9.figshare.29366060.v1
title: Supplementary Material for: Sexually Transmitted Infections in Prostate Cancer: A Prospective Multicenter Analysis

description: Objective: Chronic inflammation and infections have been implicated in prostate cancer (PCa) pathogenesis. The association between sexually transmitted infections (STIs) and PCa remains inconclusive. The objective was to evaluate the presence of STI-related pathogens in patients with PCa compared to a control group.
Methods: A prospective multicenter study involving 239 male patients with a clinical suspicion of PCa was conducted. Among the participants, 176 had histologically confirmed PCa, while 63 served as controls with benign histology. Urine, glans swabs, and prostate biopsy specimens were collected from each participant and analyzed using polymerase chain reaction (PCR) to detect a broad panel of STI-causing pathogens, including Candida spp., Chlamydia trachomatis, Mycoplasma genitalium, Neisseria gonorrhoeae, Trichomonas vaginalis, herpes simplex virus types 1 and 2, and human papillomavirus.
Results: A total of 717 samples were processed. The detection frequency of STI-related pathogens was relatively low across all sample types. Mycoplasma genitalium was the most frequently detected pathogen, particularly in prostate biopsy samples. No statistically significant association was found between the presence of these pathogens and the incidence of PCa. Neisseria gonorrhoeae and Candida spp. were not detected in any of the samples.
Conclusion: This study did not find a statistically significant association between the presence of STIs and PCa. The low prevalence of STI pathogens despite the use of highly sensitive PCR methods suggests that these infections may play a limited role in prostate carcinogenesis. Future research should consider focusing on the role of the urinary and prostatic microbiome in chronic prostatic inflammation.
DOI: 10.6084/m9.figshare.29366063
title: Supplementary Material for: Preferences for body weight-related terminology for people living with obesity: Results from the ACTION-DK study

description: Introduction: When discussing body weight with health care professionals (HCPs), people living with obesity (PwO) can feel stigmatised by specific terms. In English-speaking research settings, PwO have expressed preferences for “technical” or health-related terms (e.g., weight; Body Mass Index (BMI)), as opposed to vernacular terms (e.g., fatness), but no such studies have been conducted in a Danish linguistic and cultural setting. The aim of the present study was to investigate preferences of PwO for weight-related terminology in conversations with HCPs in a Danish context. 
Methods: The study utilised survey data from the Awareness, Care, and Treatment In Obesity maNagement-Denmark (ACTION-DK) study among Danish adults with a self-reported BMI ≥30.0 kg/m2.
Results: 879 Danish adults with obesity completed the questionnaire on preferred weight-related terminology, preferred HCP communication actions in weight loss conversation, and acceptability of HCPs raising the topic of weight. Respondents preferred technical or health related, person-first terminology; weight, overweight, high BMI, and higher weight were most preferred; fat, extra large, chubby, morbid obesity, and curvy were least preferred. 71% of respondents appreciated their HCP raising the topic of weight. When prioritising HCP communication actions in weight-loss conversations, PwO emphasised empathy and respectfulness over concrete actions. 
Conclusion: The present study is the first to investigate PwO preference for weight-related terminology in a Danish setting, with findings overall in support of similar international studies. The identification of specific, acceptable terms, together with the proportion of respondents appreciating their HCP raising the topic of weight, indicate that respectful conversations between PwO and HCPs about weight are possible. However, HCPs should always enquire about an individual’s preferences.
DOI: 10.6084/m9.figshare.29366063.v1
title: Supplementary Material for: Preferences for body weight-related terminology for people living with obesity: Results from the ACTION-DK study

description: Introduction: When discussing body weight with health care professionals (HCPs), people living with obesity (PwO) can feel stigmatised by specific terms. In English-speaking research settings, PwO have expressed preferences for “technical” or health-related terms (e.g., weight; Body Mass Index (BMI)), as opposed to vernacular terms (e.g., fatness), but no such studies have been conducted in a Danish linguistic and cultural setting. The aim of the present study was to investigate preferences of PwO for weight-related terminology in conversations with HCPs in a Danish context. 
Methods: The study utilised survey data from the Awareness, Care, and Treatment In Obesity maNagement-Denmark (ACTION-DK) study among Danish adults with a self-reported BMI ≥30.0 kg/m2.
Results: 879 Danish adults with obesity completed the questionnaire on preferred weight-related terminology, preferred HCP communication actions in weight loss conversation, and acceptability of HCPs raising the topic of weight. Respondents preferred technical or health related, person-first terminology; weight, overweight, high BMI, and higher weight were most preferred; fat, extra large, chubby, morbid obesity, and curvy were least preferred. 71% of respondents appreciated their HCP raising the topic of weight. When prioritising HCP communication actions in weight-loss conversations, PwO emphasised empathy and respectfulness over concrete actions. 
Conclusion: The present study is the first to investigate PwO preference for weight-related terminology in a Danish setting, with findings overall in support of similar international studies. The identification of specific, acceptable terms, together with the proportion of respondents appreciating their HCP raising the topic of weight, indicate that respectful conversations between PwO and HCPs about weight are possible. However, HCPs should always enquire about an individual’s preferences.
DOI: 10.6084/m9.figshare.29366066
title: Supplementary Material for: Differential Cardiac Remodeling in Overweight and Obesity: Insights from Noninvasive Imaging

description: Backgrounds
Weight gain is associated with cardiac abnormalities, but the differences in cardiac remodeling between overweight and obesity (O&O) remain unclear. This study explored the structural and functional cardiac changes associated with O&O using noninvasive imaging.
Methods
A retrospective study included participants from August 2021 to July 2023. Clinical data, laboratory results, and echocardiography reports were collected, and cardiac magnetic resonance (CMR) imaging underwent post-processing. Cardiac structural and functional parameters were compared among healthy weight, overweight, and obesity groups, and their relationships with body mass index (BMI) were analyzed.
Results
A total of 275 participants were included. Significant differences in left ventricular end-diastolic/systolic diameters, left atrial diameter, left ventricular ejection fraction (LVEF), and stroke volume (LVSV) index were observed between O&O and healthy weight groups (P&lt;0.05). However, no significant differences were found between overweight and obesity groups for left ventricular septal (LVS) thickness, posterior wall (LVPW) thickness, cardiac index, or end-systolic volume index (P&gt;0.05). Multivariable regression showed a positive correlation between BMI and cardiac structural/functional indicators (P&lt;0.05), with greater changes in obesity. Loess spline analysis revealed that cardiac remodeling was more pronounced during the overweight stage.
Conclusions
Both O&O are associated with larger cardiac dimensions, increased myocardial mass, and impaired function. Cardiac remodeling accelerates during the overweight stage, emphasizing the need for early detection and intervention in overweight individuals to mitigate future health risks.
DOI: 10.6084/m9.figshare.29366066.v1
title: Supplementary Material for: Differential Cardiac Remodeling in Overweight and Obesity: Insights from Noninvasive Imaging

description: Backgrounds
Weight gain is associated with cardiac abnormalities, but the differences in cardiac remodeling between overweight and obesity (O&O) remain unclear. This study explored the structural and functional cardiac changes associated with O&O using noninvasive imaging.
Methods
A retrospective study included participants from August 2021 to July 2023. Clinical data, laboratory results, and echocardiography reports were collected, and cardiac magnetic resonance (CMR) imaging underwent post-processing. Cardiac structural and functional parameters were compared among healthy weight, overweight, and obesity groups, and their relationships with body mass index (BMI) were analyzed.
Results
A total of 275 participants were included. Significant differences in left ventricular end-diastolic/systolic diameters, left atrial diameter, left ventricular ejection fraction (LVEF), and stroke volume (LVSV) index were observed between O&O and healthy weight groups (P&lt;0.05). However, no significant differences were found between overweight and obesity groups for left ventricular septal (LVS) thickness, posterior wall (LVPW) thickness, cardiac index, or end-systolic volume index (P&gt;0.05). Multivariable regression showed a positive correlation between BMI and cardiac structural/functional indicators (P&lt;0.05), with greater changes in obesity. Loess spline analysis revealed that cardiac remodeling was more pronounced during the overweight stage.
Conclusions
Both O&O are associated with larger cardiac dimensions, increased myocardial mass, and impaired function. Cardiac remodeling accelerates during the overweight stage, emphasizing the need for early detection and intervention in overweight individuals to mitigate future health risks.
DOI: 10.15468/dl.pac6gn
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "Geometry POLYGON((-96.19666 -5.58488,-60.80334 -5.58488,-60.80334 8.58488,-96.19666 8.58488,-96.19666 -5.58488))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pristimantis afrox Reyes-Puig, Yánez-Muñoz, Ortega & Ron, 2020"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057154-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vcsjjm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Closterium lineatum Ehrenberg ex Ralfs, 1848",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((30.0251 -31.3959,30.5701 -30.7329,30.5701 -28.5786,25.5395 -28.5786,25.5395 -32.9007,28.2048 -32.9007,28.5753 -32.6569,29.4902 -31.7517,30.0251 -31.3959))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057153-250525065834625/datasets/export for details.
DOI: 10.4121/3d95f25c-bbb9-4169-8c21-3fc75ca4056e
title: STARTER Kit: A Multi-Organ Multitool Driven by TOP

description: A short presentation highlighting the need for standardization within the field of organ-on-chip along with examples shown through the application of STARTER kit, a modular, open-source microfluidic platform for organ-on-chip applications