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

description: A dataset containing 4299 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ursus maritimus Phipps, 1774"
 ]
}

 The dataset includes 4299 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0296055-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ac3f7w
title: Occurrence Download

description: A dataset containing 599 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Onobrychis cyri Grossh."
 ]
}

 The dataset includes 599 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052360-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g444mh
title: Occurrence Download

description: A dataset containing 177 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aspalathus steudeliana Brongn."
 ]
}

 The dataset includes 177 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0297263-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hkbygu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Onobrychis gontscharovii Vassilcz."
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052379-230530130749713/datasets/export for details.
DOI: 10.15468/dl.z6bbkt
title: Occurrence Download

description: A dataset containing 269 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aphaniops stoliczkanus (Day, 1872)"
 ]
}

 The dataset includes 269 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0285605-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w46jme
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acanthephippium lilacinum J.J.Wood & C.L.Chan"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0296057-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vaw5qe
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aspalathus obtusata Thunb."
 ]
}

 The dataset includes 19 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0297279-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e42sc3
title: Occurrence Download

description: A dataset containing 1187642 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lanius collaris Linnaeus, 1766, Lanius collurio Linnaeus, 1758, Lanius gularis Raffles, 1822, Lineus collaris (Schmarda, 1859))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1187642 records from 1363 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0296023-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xmuuc2
title: Occurrence Download

description: A dataset containing 89 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Desmognathus balsameus)"
 ]
}

 The dataset includes 89 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018159-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kfdpmt
title: Occurrence Download

description: A dataset containing 12783 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Calidris tenuirostris",
 "Year 1970-2000"
 ]
}

 The dataset includes 12783 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018157-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ud722c
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Erysimum boissieri"
 ]
}

 The dataset includes 23 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018161-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q3h2es
title: Occurrence Download

description: A dataset containing 2612 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Araucaria angustifolia, Araucaria angustifolia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2612 records from 127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018164-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fmnnx8
title: Occurrence Download

description: A dataset containing 277 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Halimolobos jaegeri"
 ]
}

 The dataset includes 277 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018160-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5a8qy3
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bos taurus",
 "Country is Cuba",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018163-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/0db54f512bba21337d0de4b4ec0951e9
title: KFH01 Konza prairie fire history

description: The Konza burn history data is downloadable by year. Watershed names and codes listed are the current watershed designations (2010). Please note that several watershed designations have changed over the history of Konza. This is inevitable due to changes in research objectives but is problematic for those wanting to discover the full burn history of a given area. In some cases watersheds have simply been renamed to reflect changes in experimental burn treatments (e.g. R20A was formerly 1A). In other cases watersheds have been subdivided or aggregated from smaller watersheds (eg. in 1994 3B3UA was added to 20A (currently R1A) to form a larger watershed). In a few cases watershed names have been moved to new areas (e.g. 1D was moved from its original location in 1978 after the acquisition of new property. The original 1D watershed is now part of WB and 20C). Investigators should consult the proper watershed map for a given year to see watershed designations at the time of burning.
DOI: 10.6084/m9.figshare.29574872
title: Effects of flooding on Lagos metropolis

description: Flooding has become a persistent and destructive hazard affecting Lagos Metropolis, Nigeria, resulting in widespread socio-economic, infrastructural, and environmental challenges. This study investigates the causes, effects, and mitigation responses to flooding in five local government areas within the cit; Agege, Alimosho, Surulere, EtiOsa, and Idi-Araba. Primary data were obtained through questionnaires distributed to residents in flood-prone areas using a snowball sampling technique, while secondary data were sourced from literature, government reports, and online resources. The findings revealed that the primary causes of flooding include intense rainfall, poor and inadequate drainage systems, indiscriminate waste disposal, and unregulated construction on natural water channels. The impacts of flooding were significant, with 87% of respondents reporting their homes had been inundated, while others reported collapsed buildings, polluted water sources, health problems, and transportation disruption. Statistical analysis using the Chi-square test established a significant relationship between flooding and increased transportation fares. The study concludes that both physical factors and human activities contribute to flood risk in Lagos. Recommendations include the enhancement of drainage infrastructure, public awareness on waste management, and enforcement of urban planning regulations. The study provides critical insights for urban planners, emergency response agencies, and policymakers aimed at building a more resilient Lagos.<br>
DOI: 10.6084/m9.figshare.29574872.v1
title: Effects of flooding on Lagos metropolis

description: Flooding has become a persistent and destructive hazard affecting Lagos Metropolis, Nigeria, resulting in widespread socio-economic, infrastructural, and environmental challenges. This study investigates the causes, effects, and mitigation responses to flooding in five local government areas within the cit; Agege, Alimosho, Surulere, EtiOsa, and Idi-Araba. Primary data were obtained through questionnaires distributed to residents in flood-prone areas using a snowball sampling technique, while secondary data were sourced from literature, government reports, and online resources. The findings revealed that the primary causes of flooding include intense rainfall, poor and inadequate drainage systems, indiscriminate waste disposal, and unregulated construction on natural water channels. The impacts of flooding were significant, with 87% of respondents reporting their homes had been inundated, while others reported collapsed buildings, polluted water sources, health problems, and transportation disruption. Statistical analysis using the Chi-square test established a significant relationship between flooding and increased transportation fares. The study concludes that both physical factors and human activities contribute to flood risk in Lagos. Recommendations include the enhancement of drainage infrastructure, public awareness on waste management, and enforcement of urban planning regulations. The study provides critical insights for urban planners, emergency response agencies, and policymakers aimed at building a more resilient Lagos.<br>
DOI: 10.15468/dl.fp33c8
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bursaphelenchus mucronatus",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018165-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.afhark
title: Occurrence Download

description: A dataset containing 651 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rumex nervosus",
 "HasCoordinate is true",
 "Geometry POLYGON ((-17.66889 -35.11691, 51.34702 -35.11691, 51.34702 37.62, -17.66889 37.62, -17.66889 -35.11691))"
 ]
}

 The dataset includes 651 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018166-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48544/9b2241c7-1d02-4523-8734-a71ec3310e5b
title: What(s)can we do? Onderzoek naar het gebruik van een geautomatiseerde   kwetsbaarhedenmeting als evidence based gedragsinterventie
DOI: 10.15468/dl.pn37qa
title: Occurrence Download

description: A dataset containing 112 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bos taurus",
 "Country is Ecuador",
 "HasCoordinate is true"
 ]
}

 The dataset includes 112 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018167-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13325369
title: MR-Eye atlas: a large-scale atlas of the eye based on T1-weighted MR imaging

description: MR-Eye atlas is a novel digital atlas contructed from MR images (T1-weighted MRI acquired at 1.5T ) of large-scale population of healthy volonteers. It gathers a male and female structural atlas constructed from 594 males and 616 females, with their corresponding probability maps of the different labels projected onto the average respective male and female templates. The atlases include 9 regions of interest lens, globe, optic nerve, intraconal and extraconal fat, and four rectus muscles (lateral, medial, inferior and superior).

The original dataset includes:



sub_metadata.csv: dataset summary table

template.nii.gz: atlas of the eye images (per sex)

max_prob_map.npy and max_prob_map.nii.gz: maximum probability maps (per sex)

prob_map.npy and prob_map.nii.gz: probability maps (per sex)


The new version adds:



a combined eye atlas (image + labels)

labels projected onto Colin27 and MNI152 T1w spaces (along with the images and their cropped versions)

2 more preview figures (labels onto the Colin27 and MNI152, and the scheme of the process)

updates on release_notes.md and release_notes.txt (to track changes)

modified readme.md and readme.txt


Detailed information on the original large-scale cohort, automated segmentation method and unbiased atlas construction is detailed in the README file.

MR-Eye atlas is presented and described in the following article: 

"Eye-Opening Advances: Automated 3D Segmentation, Key Biomarkers Extraction, and the First Large-Scale MRI Eye Atlas", J. Barranco, A. Luyken, H. Kebiri, P. Stachs, P. M. Gordaliza, O. Esteban, Y. Aleman, R. Sznitman, O. Stachs, S. Langner, B. Franceschiello, M. Bach Cuadra, https://doi.org/10.1101/2024.08.15.608051

Works using any of the provided ressources should cite the above-referred article.

Copyright (c) - All rights reserved. Medical Image Analysis Laboratory - Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne,Switzerland & CIBM Center for Biomedical Imaging. 2024.
description: This work is part of the A-Eye project (2022-2025) supported by the Gelbert Foundation (Geneva, Switzerland).
DOI: 10.5281/zenodo.15924742
title: MR-Eye atlas: a large-scale atlas of the eye based on T1-weighted MR imaging

description: MR-Eye atlas is a novel digital atlas contructed from MR images (T1-weighted MRI acquired at 1.5T ) of large-scale population of healthy volonteers. It gathers a male and female structural atlas constructed from 594 males and 616 females, with their corresponding probability maps of the different labels projected onto the average respective male and female templates. The atlases include 9 regions of interest lens, globe, optic nerve, intraconal and extraconal fat, and four rectus muscles (lateral, medial, inferior and superior).

The original dataset includes:



sub_metadata.csv: dataset summary table

template.nii.gz: atlas of the eye images (per sex)

max_prob_map.npy and max_prob_map.nii.gz: maximum probability maps (per sex)

prob_map.npy and prob_map.nii.gz: probability maps (per sex)


The new version adds:



a combined eye atlas (image + labels)

labels projected onto Colin27 and MNI152 T1w spaces (along with the images and their cropped versions)

2 more preview figures (labels onto the Colin27 and MNI152, and the scheme of the process)

updates on release_notes.md and release_notes.txt (to track changes)

modified readme.md and readme.txt


Detailed information on the original large-scale cohort, automated segmentation method and unbiased atlas construction is detailed in the README file.

MR-Eye atlas is presented and described in the following article: 

"Eye-Opening Advances: Automated 3D Segmentation, Key Biomarkers Extraction, and the First Large-Scale MRI Eye Atlas", J. Barranco, A. Luyken, H. Kebiri, P. Stachs, P. M. Gordaliza, O. Esteban, Y. Aleman, R. Sznitman, O. Stachs, S. Langner, B. Franceschiello, M. Bach Cuadra, https://doi.org/10.1101/2024.08.15.608051

Works using any of the provided ressources should cite the above-referred article.

Copyright (c) - All rights reserved. Medical Image Analysis Laboratory - Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne,Switzerland & CIBM Center for Biomedical Imaging. 2024.
description: This work is part of the A-Eye project (2022-2025) supported by the Gelbert Foundation (Geneva, Switzerland).
DOI: 10.15468/dl.jx4cj5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Contopus cooperi)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018168-250711103210423/datasets/export for details.
DOI: 10.15468/dl.huazyn
title: Occurrence Download

description: A dataset containing 965 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Faroe Islands",
 "TaxonKey is Polychaeta"
 ]
}

 The dataset includes 965 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018170-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r9a6dc
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:ABA2465"
 ]
}

 The dataset includes 26 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018169-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/s9snak
title: SiVis - Simulated multi-patient physiological clinical states

description: This dataset was collected using SimMan mannequins programmed to simulate various clinical conditions (Hearth Rate and Respiratory Rate). Using mmWave radar sensors (),Radar signals were meticulously collected across multiple controlled parameters,
including different radar positions, distances, and different orientation angles to targets. The radar acquisition parameters were further diversified by varying the number of ADC samples, chirp loops, ramp end times, frame rates, and signal gains, allowing a comprehensive evaluation of how each setting impacts the fidelity of physiological measurements. Simulated clinical scenarios range from stable and healthy states to acute medical emergencies such as apnea, cardiac arrest, and severe respiratory distress.
DOI: 10.15468/dl.msgn6c
title: Occurrence Download

description: A dataset containing 106684 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "Country is Lithuania",
 "HasCoordinate is true"
 ]
}

 The dataset includes 106684 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018136-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pyxu2d
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Festuca ovina paludosa, Festuca ovina paludosa, Festuca ovina tenuifolia, Festuca ovina tenuifolia, Festuca ovina tenuifolia, Festuca ovina tenuifolia, Festuca ovina tenuifolia, Festuca paludosa, Festuca patuliflora, Festuca querceticola)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 51 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018173-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.beceb8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cardiandra alternifolia"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018172-250711103210423/datasets/export for details.
DOI: 10.7488/ds/7855
title: Mouse Embryo Developmental Age Stage Selector

description: Mouse embryos can be staged according to a variety of criteria, the most general of which are those described by Theiler (1989). However, Theiler’s criteria are too broad to distinguish many of the important phases of early development and must therefore be supplemented by other distinguishing features. A system for staging mouse development before organogenesis has been published by Lawson and Wilson (2016). This dataset is an adaptation of this with direct links to reference models previously available on the eMouseAtlas project but are now archived in Edinburgh DataShare.
DOI: 10.15468/dl.32pbzz
title: Occurrence Download

description: A dataset containing 547 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Meconopsis racemosa"
 ]
}

 The dataset includes 547 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018175-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.