cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48596/pgn.rnvh3p1-8.juelich.p30s1
title: Pandora 30s1 sky NO2 surface number density, partial and tropospheric column amount at Juelich; Processing Code: nvh3; Processor Version: 1-8
DOI: 10.48596/pgn.rfuh5p1-8.egbert.p108s1
title: Pandora 108s1 sky H2CO surface number density, partial and tropospheric column amount at Egbert; Processing Code: fuh5; Processor Version: 1-8
DOI: 10.15468/dl.4yanva
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is BRI AVH Data and Images",
 "Country is Croatia"
 ]
}

 The dataset includes 13 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028338-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48596/pgn.rnvh3p1-8.egbert.p108s1
title: Pandora 108s1 sky NO2 surface number density, partial and tropospheric column amount at Egbert; Processing Code: nvh3; Processor Version: 1-8
DOI: 10.48596/pgn.rnvs3p1-8.egbert.p108s1
title: Pandora 108s1 direct sun NO2 total vertical column amount at Egbert; Processing Code: nvs3; Processor Version: 1-8
DOI: 10.17632/3mjgbw3w8j
title: SOCIO-CULTURAL FACTORS OF MATERNAL INFANT MORBIMORTALITY, WAYÚU COMMUNITY, JURISDICTION OF NAZARET, MUNICIPALITY OF URIBÍA DEPARTMENT OF LA GUAJIRA.

description: .........
DOI: 10.48596/pgn.rsus1p1-8.egbert.p108s1
title: Pandora 108s1 direct sun SO2 total vertical column amount at Egbert; Processing Code: sus1; Processor Version: 1-8
DOI: 10.48596/pgn.rout2p1-8.egbert.p108s1
title: Pandora 108s1 direct sun O3 total vertical column amount at Egbert; Processing Code: out2; Processor Version: 1-8
DOI: 10.48596/pgn.rnvs3p1-8.bronxny.p134s1
title: Pandora 134s1 direct sun NO2 total vertical column amount at BronxNY; Processing Code: nvs3; Processor Version: 1-8
DOI: 10.17026/ar/7iilgx
title: PAN-00027548 - antler/bone/ivory production waste

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00027548&lt;/p&gt;
description: Modified: 2025-07-10T15:28:28+02:00
DOI: 10.15468/dl.jzpftp
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Geometry POLYGON ((-119.4841 34.84402, -119.4836 34.84407, -119.4832 34.84415, -119.4827 34.84425, -119.4823 34.84436, -119.4818 34.8445, -119.4814 34.84465, -119.4809 34.84483, -119.4805 34.84502, -119.4801 34.84523, -119.4797 34.84545, -119.4794 34.8457, -119.479 34.84596, -119.4787 34.84623, -119.4784 34.84652, -119.4781 34.84682, -119.4778 34.84713, -119.4775 34.84746, -119.4773 34.8478, -119.4771 34.84814, -119.4769 34.8485, -119.4767 34.84886, -119.4765 34.84923, -119.4764 34.84961, -119.4763 34.84999, -119.4762 34.85038, -119.4762 34.85076, -119.4762 34.85115, -119.4762 34.85154, -119.4762 34.85193, -119.4766 34.85586, -119.4766 34.85624, -119.4767 34.85661, -119.4768 34.85699, -119.4769 34.85735, -119.4771 34.85772, -119.4772 34.85807, -119.4774 34.85842, -119.4776 34.85876, -119.4779 34.85909, -119.4781 34.85941, -119.4784 34.85972, -119.4787 34.86002, -119.479 34.8603, -119.4793 34.86057, -119.4796 34.86083, -119.48 34.86107, -119.4804 34.8613, -119.4808 34.86151, -119.4812 34.86171, -119.4816 34.86188, -119.482 34.86204, -119.4824 34.86218, -119.4829 34.86231, -119.4833 34.86241, -119.4838 34.86249, -119.4842 34.86256, -119.4847 34.8626, -119.4851 34.86263, -119.4856 34.86264, -119.4888 34.86262, -119.4892 34.8626, -119.4897 34.86257, -119.4902 34.86252, -119.4906 34.86244, -119.4911 34.86235, -119.4915 34.86224, -119.492 34.86211, -119.4924 34.86196, -119.4928 34.86179, -119.4932 34.8616, -119.4936 34.8614, -119.494 34.86118, -119.4944 34.86094, -119.4947 34.86069, -119.4951 34.86042, -119.4954 34.86014, -119.4957 34.85985, -119.496 34.85954, -119.4962 34.85922, -119.4965 34.8589, -119.4967 34.85856, -119.4969 34.85821, -119.4971 34.85785, -119.4972 34.85749, -119.4974 34.85712, -119.4975 34.85674, -119.4976 34.85637, -119.4976 34.85598, -119.4977 34.8556, -119.4977 34.85521, -119.4977 34.85483, -119.4974 34.85076, -119.4973 34.85037, -119.4973 34.84999, -119.4972 34.8496, -119.4971 34.84923, -119.4969 34.84886, -119.4968 34.84849, -119.4966 34.84813, -119.4964 34.84779, -119.4962 34.84745, -119.4959 34.84712, -119.4956 34.8468, -119.4953 34.84649, -119.495 34.8462, -119.4947 34.84592, -119.4944 34.84565, -119.494 34.8454, -119.4936 34.84517, -119.4932 34.84495, -119.4928 34.84475, -119.4924 34.84457, -119.492 34.84441, -119.4915 34.84426, -119.4911 34.84414, -119.4906 34.84403, -119.4902 34.84394, -119.4897 34.84388, -119.4892 34.84383, -119.4888 34.84381, -119.4883 34.8438, -119.4878 34.84381, -119.4846 34.84398, -119.4841 34.84402))",
 {
 "not" : {
 "TaxonKey" : [
 "is Plantae"
 ]
 }
 },
 {
 "not" : {
 "TaxonKey" : [
 "is Aves"
 ]
 }
 },
 "Year is greater than or equal to 1926",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 10 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028340-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17815881
title: Futebol e Mídia - Transmissões de torneios de clubes europeus masculinos 2024-2025

description: A matriz de dados "Futebol e Mídia - Transmissões de Clubes de Homens 2024_2025_Europa" apresenta a organização em planilha de coleta de dados realizados em 2025 pelo Observatório das Transmissões de Futebóis (CEPCOM/Intervozes) sobre as exibições audiovisuais dos campeonatos europeus de clubes.

A coleta e a planificação dos dados foi feita pela bacharela em Relações Internacionais Amanda Trovó, com conferência de Iago Vernek Fernandes (mestrando em Planejamento e Gestão do Território/UFABC) e do prof. Anderson Santos (Dr. em Comunicação e professor da Ufal).

A elaboração da matriz foi feita pelo sociólogo Daniel F. B. Ribeiro e pelo prof. Dr. em Comunicação Anderson Santos (Ufal).
DOI: 10.5281/zenodo.17815880
title: Futebol e Mídia - Transmissões de torneios de clubes europeus masculinos 2024-2025

description: A matriz de dados "Futebol e Mídia - Transmissões de Clubes de Homens 2024_2025_Europa" apresenta a organização em planilha de coleta de dados realizados em 2025 pelo Observatório das Transmissões de Futebóis (CEPCOM/Intervozes) sobre as exibições audiovisuais dos campeonatos europeus de clubes.

A coleta e a planificação dos dados foi feita pela bacharela em Relações Internacionais Amanda Trovó, com conferência de Iago Vernek Fernandes (mestrando em Planejamento e Gestão do Território/UFABC) e do prof. Anderson Santos (Dr. em Comunicação e professor da Ufal).

A elaboração da matriz foi feita pelo sociólogo Daniel F. B. Ribeiro e pelo prof. Dr. em Comunicação Anderson Santos (Ufal).
DOI: 10.5281/zenodo.17778076
title: Species richness at different plot areas in Swiss grasslands

description: This dataset compiles plant species richness data from multiple grassland vegetation surveys conducted across Switzerland on varying plot areas (1–100 m²). It includes species richness on varying plot areas, plot-level environmental metadata and mean ecological indicator values. The data were assembled to evaluate how differences in plot areas affect estimates of species richness and mean ecological indicator values. 

The README file further describes each uploaded file.
DOI: 10.5281/zenodo.17778077
title: Species richness at different plot areas in Swiss grasslands

description: This dataset compiles plant species richness data from multiple grassland vegetation surveys conducted across Switzerland on varying plot areas (1–100 m²). It includes species richness on varying plot areas, plot-level environmental metadata and mean ecological indicator values. The data were assembled to evaluate how differences in plot areas affect estimates of species richness and mean ecological indicator values. 

The README file further describes each uploaded file.
DOI: 10.15468/dl.6mf4hk
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Frost Entomological Museum",
 "Country is Croatia"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028341-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/3mjgbw3w8j.1
title: SOCIO-CULTURAL FACTORS OF MATERNAL INFANT MORBIMORTALITY, WAYÚU COMMUNITY, JURISDICTION OF NAZARET, MUNICIPALITY OF URIBÍA DEPARTMENT OF LA GUAJIRA.

description: .........
DOI: 10.23728/b2share.cpnae-4rn77
title: Forest regrowth after wildfire in northeastern Germany -- data from the PYROPHOB project - Part 1

description: We present the data recorded by eight institutions within the PYROPHOB project, running from 2020 to 2024 at two forest research sites in the south-west of Brandenburg, Germany. The aim of the project was to monitor abiotic and biotic parameters of forest regrowth under different management regimes on former wildfire sites in northeastern Germany. The observations comprised intermittent and continuous measurements or surveys on meteorological parameters (rainfall, temperature, vapour pressure deficit), soil (soil type and texture, soil chemistry and leaching, water content, soil temperature), deadwood, stand structure, vegetation regrowth, abundance of selected fauna (moths, beetles, mammals), UAV-based remote sensing, and photo monitoring. Thus, the multitude of collected data allows not only for detailed analyses of these observables separately, but also considering their interaction for a more multidisciplinary view on forest recovery after a wildfire.
description: This data set contains part 1 - main part
DOI: 10.48596/pgn.rfus5p1-8.fairbanksak.p29s1
title: Pandora 29s1 direct sun H2CO total vertical column amount at FairbanksAK; Processing Code: fus5; Processor Version: 1-8
DOI: 10.48596/pgn.rnvs3p1-8.fairbanksak.p29s1
title: Pandora 29s1 direct sun NO2 total vertical column amount at FairbanksAK; Processing Code: nvs3; Processor Version: 1-8
DOI: 10.48596/pgn.rsus1p1-8.fairbanksak.p29s1
title: Pandora 29s1 direct sun SO2 total vertical column amount at FairbanksAK; Processing Code: sus1; Processor Version: 1-8
DOI: 10.15468/dl.a7a8h9
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Arachnida and Myriapoda (Luomus)",
 "Country is Croatia"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028342-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48596/pgn.rnvh3p1-8.cologne.p67s1
title: Pandora 67s1 sky NO2 surface number density, partial and tropospheric column amount at Cologne; Processing Code: nvh3; Processor Version: 1-8
DOI: 10.48596/pgn.rfuh5p1-8.cologne.p67s1
title: Pandora 67s1 sky H2CO surface number density, partial and tropospheric column amount at Cologne; Processing Code: fuh5; Processor Version: 1-8
DOI: 10.48596/pgn.rnvh3p1-8.boulderco.p57s1
title: Pandora 57s1 sky NO2 surface number density, partial and tropospheric column amount at BoulderCO; Processing Code: nvh3; Processor Version: 1-8
DOI: 10.48596/pgn.rfuh5p1-8.boulderco.p57s1
title: Pandora 57s1 sky H2CO surface number density, partial and tropospheric column amount at BoulderCO; Processing Code: fuh5; Processor Version: 1-8
DOI: 10.48596/pgn.rnvs3p1-8.charlescityva.p40s1
title: Pandora 40s1 direct sun NO2 total vertical column amount at CharlesCityVA; Processing Code: nvs3; Processor Version: 1-8
DOI: 10.48596/pgn.rsus1p1-8.charlescityva.p40s1
title: Pandora 40s1 direct sun SO2 total vertical column amount at CharlesCityVA; Processing Code: sus1; Processor Version: 1-8
DOI: 10.48596/pgn.rnvh3p1-8.cordoba.p125s1
title: Pandora 125s1 sky NO2 surface number density, partial and tropospheric column amount at Cordoba; Processing Code: nvh3; Processor Version: 1-8
DOI: 10.48596/pgn.rnvs3p1-8.cordoba.p125s1
title: Pandora 125s1 direct sun NO2 total vertical column amount at Cordoba; Processing Code: nvs3; Processor Version: 1-8
DOI: 10.48596/pgn.rout2p1-8.cordoba.p125s1
title: Pandora 125s1 direct sun O3 total vertical column amount at Cordoba; Processing Code: out2; Processor Version: 1-8
DOI: 10.15468/dl.r8txdp
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Tasmanian Herbarium (HO) AVH data",
 "Country is Croatia"
 ]
}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028343-251120083545085/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.30783923
title: Colorectal cancer ITS1 amplicon metagenome raw data

description: CRC remains a major public health concern, and early detection is essential for improving patient outcomes. While studies have focused on bacterial gut microbiome as a diagnostic tool, the fungal counterpart, the gut mycobiome, has been comparatively underexplored. Emerging evidence shows that fungi play a larger role in colorectal carcinogenesis than previously recognised, with gut mycobiome dysbiosis linked to inflammation, impaired epithelial integrity, and metabolic changes that favour tumour development. Concurrently, advances in sequencing technologies and machine learning now enable more precise analysis of these complex host–microbe interactions. Integrating these insights offers a timely opportunity to leverage mycobiome biology together with computational modelling to develop more accurate fungal-based biomarkers for early CRC detection. In this study, biopsy samples from 77 Malaysian participants, including CRC patients, individuals with pre-cancerous polyp, and healthy controls, were analyzed using high-throughput sequencing of the ITS1 region. The CRC patients showed clear increased presence of <i>Candida</i>, <i>Rhodotorula, </i>and <i>Hortaea </i>genera with <i>Hortaea </i>having the most significant CRC/Normal ratio.<i> </i>Machine learning approaches were applied to the amplicon data enabled the identification of fungal signatures with potential as biomarkers for CRC detection. Random Forest and LEfSe analyses highlighted <i>H. werneckii</i> as a candidate marker for CRC whereas <i>Trichoderma virenz </i>and <i>Basidiodendron pelinum </i>as marker for early CRC onset polys. These findings suggest that the gut mycobiome may complement bacterial markers in early, non-invasive CRC detection and provide new avenues for precision diagnostics.
DOI: 10.6084/m9.figshare.30783923.v2
title: Colorectal cancer ITS1 amplicon metagenome raw data

description: CRC remains a major public health concern, and early detection is essential for improving patient outcomes. While studies have focused on bacterial gut microbiome as a diagnostic tool, the fungal counterpart, the gut mycobiome, has been comparatively underexplored. Emerging evidence shows that fungi play a larger role in colorectal carcinogenesis than previously recognised, with gut mycobiome dysbiosis linked to inflammation, impaired epithelial integrity, and metabolic changes that favour tumour development. Concurrently, advances in sequencing technologies and machine learning now enable more precise analysis of these complex host–microbe interactions. Integrating these insights offers a timely opportunity to leverage mycobiome biology together with computational modelling to develop more accurate fungal-based biomarkers for early CRC detection. In this study, biopsy samples from 77 Malaysian participants, including CRC patients, individuals with pre-cancerous polyp, and healthy controls, were analyzed using high-throughput sequencing of the ITS1 region. The CRC patients showed clear increased presence of <i>Candida</i>, <i>Rhodotorula, </i>and <i>Hortaea </i>genera with <i>Hortaea </i>having the most significant CRC/Normal ratio.<i> </i>Machine learning approaches were applied to the amplicon data enabled the identification of fungal signatures with potential as biomarkers for CRC detection. Random Forest and LEfSe analyses highlighted <i>H. werneckii</i> as a candidate marker for CRC whereas <i>Trichoderma virenz </i>and <i>Basidiodendron pelinum </i>as marker for early CRC onset polys. These findings suggest that the gut mycobiome may complement bacterial markers in early, non-invasive CRC detection and provide new avenues for precision diagnostics.
DOI: 10.6084/m9.figshare.30783923.v1
title: Colorectal cancer ITS1 amplicon metagenome raw data

description: CRC remains a major public health concern, and early detection is essential for improving patient outcomes. While studies have focused on bacterial gut microbiome as a diagnostic tool, the fungal counterpart, the gut mycobiome, has been comparatively underexplored. Emerging evidence shows that fungi play a larger role in colorectal carcinogenesis than previously recognised, with gut mycobiome dysbiosis linked to inflammation, impaired epithelial integrity, and metabolic changes that favour tumour development. Concurrently, advances in sequencing technologies and machine learning now enable more precise analysis of these complex host–microbe interactions. Integrating these insights offers a timely opportunity to leverage mycobiome biology together with computational modelling to develop more accurate fungal-based biomarkers for early CRC detection. In this study, biopsy samples from 77 Malaysian participants, including CRC patients, individuals with pre-cancerous polyp, and healthy controls, were analyzed using high-throughput sequencing of the ITS1 region. The CRC patients showed clear increased presence of <i>Candida</i>, <i>Rhodotorula, </i>and <i>Hortaea </i>genera with <i>Hortaea </i>having the most significant CRC/Normal ratio.<i> </i>Machine learning approaches were applied to the amplicon data enabled the identification of fungal signatures with potential as biomarkers for CRC detection. Random Forest and LEfSe analyses highlighted <i>H. werneckii</i> as a candidate marker for CRC whereas <i>Trichoderma virenz </i>and <i>Basidiodendron pelinum </i>as marker for early CRC onset polys. These findings suggest that the gut mycobiome may complement bacterial markers in early, non-invasive CRC detection and provide new avenues for precision diagnostics.
DOI: 10.4121/f41caeea-0be8-4247-9ef2-06956a3edf6b
title: Training Dataset supporting the publication: Single Shot Line-of-Sight Atmospheric Turbulence Profiling with STORM for Laser Satellite Communications

description: This is a training dataset for Speckle-based Turbulence Observation and Reconstruction via Machine Learning (STORM), a technique which aims at estimating atmospheric turbulence profiles from the measurement of a single star or laser beam speckle pattern on the ground. Used as to train the first STORM model through surrogate learning, this dataset was generated using a MATLAB wave propagation simulator to generate single star speckle patterns with the parameters described in the associated paper.It contains 50 speckles per 5064 turbulence profiles, thus a total of 253200 sample speckle files (sample_{profile#}-{speckle#}.h5) and 5064 tag files (sample_{profile#}_tag.h5).The github codes for the machine learning model, speckcn2, are documented on the following site:https://males-project.github.io/SpeckleCn2Profiler/.<br><br>
DOI: 10.15468/dl.ujmn2n
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is ITA.15_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Azolla filiculoides"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028344-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/dhn73ghv5w
title: SOCIO-CULTURAL FACTORS OF MATERNAL INFANT MORBIMORTALITY, WAYÚU COMMUNITY, JURISDICTION OF NAZARET, MUNICIPALITY OF URIBÍA DEPARTMENT OF LA GUAJIRA.

description: The research team identified a significant problem regarding maternal and infant morbidity and mortality rates in the Wayuu community of Nazareth, Colombia. They gathered information from two sources: a university student from the Wayuu ethnic group who reported the concerning situation within the village, and data from various agencies and reports, which confirmed a rise in morbidity and mortality rates from 2015 to 2019.

Further investigation revealed that several factors, including socioeconomic and cultural conditions unique to the Wayuu community and limited access to healthcare services, were contributing to this issue. The Wayuu community's customs and traditional health practices also played a role.

Given the complexity of the problem, the research aims to deeply study the sociocultural factors affecting maternal and infant health in the Wayuu community. The goal is to develop a scientific understanding of how these factors influence morbidity and mortality rates and, ultimately, to design public health policies that integrate traditional Wayuu medicine and worldview with state healthcare practices. This approach seeks to bridge the gap between two distinct cultures and improve the health and well-being of pregnant women and children in the Wayuu community, with the potential to extend these solutions to the broader Wayuu population in Colombia.
DOI: 10.17026/ar/dztni5
title: PAN-00133003 - finger ring group 9

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00133003&lt;/p&gt;
description: Modified: 2025-05-26T16:34:02+02:00
DOI: 10.15468/dl.9ys2m2
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Themira biloba"
 ]
}

 The dataset includes 72 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028346-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.