cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.mua3ze
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Serbia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aegolius funereus (Linnaeus, 1758)"
 ]
}

 The dataset includes 35 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072569-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14672351
title: Brand Love 2.0 - Football Club
DOI: 10.5281/zenodo.14672352
title: Brand Love 2.0 - Football Club
DOI: 10.15468/dl.v56xf7
title: Occurrence Download

description: A dataset containing 2084 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Serbia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ardea purpurea Linnaeus, 1766"
 ]
}

 The dataset includes 2084 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072571-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3djz4c
title: Occurrence Download

description: A dataset containing 424 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Serbia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Falco vespertinus Linnaeus, 1766"
 ]
}

 The dataset includes 424 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072572-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m34dvk
title: Occurrence Download

description: A dataset containing 425 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pereskia lychnidiflora DC."
 ]
}

 The dataset includes 425 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072574-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4d43r5
title: Occurrence Download

description: A dataset containing 17920 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is List of the specimens of the Vanuatu National Herbarium (PVNH)"
 ]
}

 The dataset includes 17920 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072573-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z8nqke
title: Occurrence Download

description: A dataset containing 772 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Serbia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Sterna hirundo Linnaeus, 1758"
 ]
}

 The dataset includes 772 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072575-241126133413365/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.28219067
title: Qualitative Data Quantitative Data

description: <b>Magnetic resonance imaging (MRI)</b> is a highly effective and non-invasive imaging modality for the detection and evaluation of prostate cancer (PCa). Among the various MRI sequences, <b>diffusion-weighted MRI (DW-MRI)</b> stands out as a sensitive technique that plays a critical role in identifying and characterizing prostate lesions. This technique leverages the sensitivity of tissue diffusion characteristics, which are quantified by the <b>b-value</b> and the <b>apparent diffusion coefficient (ADC)</b>. The b-value determines the sensitivity of the imaging to water diffusion, while the ADC provides quantitative measurements of tissue diffusivity, both of which are crucial for accurate diagnosis and differentiation of prostate cancer from benign conditions. Determining the optimal <b>b-value</b> and <b>ADC value</b> in DW-MRI enhances the diagnostic accuracy of prostate cancer and contributes to better patient outcomes, standardized imaging practices, and scientific advancements in oncologic imaging. This ensures more effective and non-invasive management of prostate cancer, addressing a critical need in men's health.
DOI: 10.6084/m9.figshare.28219067.v1
title: Qualitative Data Quangtitative Data

description: <b>Magnetic resonance imaging (MRI)</b> is a highly effective and non-invasive imaging modality for the detection and evaluation of prostate cancer (PCa). Among the various MRI sequences, <b>diffusion-weighted MRI (DW-MRI)</b> stands out as a sensitive technique that plays a critical role in identifying and characterizing prostate lesions. This technique leverages the sensitivity of tissue diffusion characteristics, which are quantified by the <b>b-value</b> and the <b>apparent diffusion coefficient (ADC)</b>. The b-value determines the sensitivity of the imaging to water diffusion, while the ADC provides quantitative measurements of tissue diffusivity, both of which are crucial for accurate diagnosis and differentiation of prostate cancer from benign conditions. Determining the optimal <b>b-value</b> and <b>ADC value</b> in DW-MRI enhances the diagnostic accuracy of prostate cancer and contributes to better patient outcomes, standardized imaging practices, and scientific advancements in oncologic imaging. This ensures more effective and non-invasive management of prostate cancer, addressing a critical need in men's health.
DOI: 10.15468/dl.3caxrq
title: Occurrence Download

description: A dataset containing 110 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Blattella germanica (Linnaeus, 1767)",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 110 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072576-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34780/8xzw-gf31
title: Georeferencing and other strategies to spatialise information from old maps / Georeferenzierung und andere Strategien zur Verräumlichung von Informationen aus Altkarten

description: Old maps are invaluable for archaeological, historical, and environmental research on past landscapes and their changes over time. To ensure data quality and reproducibility, the availability of multidisciplinary guidelines for systematic metadata management, georeferencing, and vectorisation of old map features is crucial; however, to this date, no such guidelines exist. Key recommendations of these best practice recommendations include consistent metadata recording, clear file structures, standardised coordinate reference systems, and quality assessment for georeferencing. The emphasis is hereby on transparent procedures and documentation, based on examples, experiences, and requirements within the joint research DFG Priority Programme “On the Way to the Fluvial Anthroposphere” (SPP 2361). These recommendations offer a starting point for the development of Gold Standard guidelines for the spatialisation and standardisation of information from old maps. / Altkarten sind von unschätzbarem Wert für die archäologische, historische und ökologische Forschung über vergangene Landschaften und ihre Veränderungen im Laufe der Zeit. Um die Qualität und Reproduzierbarkeit der Daten zu gewährleisten, sind multidisziplinäre Leitlinien für die systematische Verwaltung von Metadaten, die Georeferenzierung und die Vektorisierung von alten Kartenmerkmalen von entscheidender Bedeutung. Bisher gibt es jedoch keine solchen Leitlinien. Zu den wichtigsten Empfehlungen dieser Best-Practice-Empfehlungen gehören die konsistente Erfassung von Metadaten, klare Dateistrukturen, standardisierte Koordinatenreferenzsysteme und die Qualitätsbewertung der Georeferenzierung. Der Schwerpunkt liegt dabei auf transparenten Verfahren und Dokumentationen, basierend auf Beispielen, Erfahrungen und Anforderungen innerhalb des DFG-Schwerpunktprogramms “Auf dem Weg zur fluvialen Anthroposphäre” (SPP 2361). Diese Empfehlungen bieten einen Ausgangspunkt für die Entwicklung von Gold-Standard-Richtlinien für die Verräumlichung und Standardisierung von Informationen aus Altkarten.
DOI: 10.15468/dl.buh2kt
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Serbia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Accipiter brevipes (Severtzov, 1850)"
 ]
}

 The dataset includes 47 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072577-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sm9vch
title: Occurrence Download

description: A dataset containing 218 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Serbia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Circus pygargus (Linnaeus, 1758)"
 ]
}

 The dataset includes 218 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072578-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17864/1947.001320
title: Ocean stratification impedes particulate transport to the plumes of Enceladus: data and software

description: This archive contains all data and software supporting (and required to reproduce) the results of 'Ocean stratification impedes particulate transport to the plumes of Enceladus'. 

The Massachusetts Institute of Technology Ocean General Circulation model (MITgcm) is configured for the study of Enceladus - an ice-covered, ocean-bearing moon of Saturn. Simulations are performed in a 2D latitude-depth configuration to investigate the presence of stratification within Enceladus' ocean, and explicitly determine the transport timescale of hydrothermally-derived tracers to Enceladus' south polar ice-ocean interface. Numerical solutions are compared with analytical solutions from a theoretical model.

Included in this archive are:

- Raw outputs from the MITgcm simulations, performed across ranges in ocean mean salinity, effective vertical diffusivity and GM (i.e., eddy) diffusivity, as well as a varied magnitude of freshwater forcing
from the overlying ice shell
- Processed MITgcm outputs used to produce all figures in the main text and supplementary material.
- A copy of the MITgcm version 68q used to produce the raw data.
- Configuration files used to configure the MITgcm for the study of Enceladus. Includes pickup files for one example equilibrated simulation.
- Python scripts used to process the MITgcm raw data and to compute the analytical solutions.
- Python scripts used to produce all figures presented in the main text and supplementary material.
- The conda environment used to successfully run the Python code.
DOI: 10.15468/dl.ah7aud
title: Occurrence Download

description: A dataset containing 285 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is UPNG Natural History Collection Plant Family Acanthaceae to Anacardiaceae",
 "Geometry POLYGON((132.99936 0.42306,130.21124 -0.74867,130.32023 -1.34816,131.27397 -2.38364,133.29044 -4.18211,136.36964 -4.8906,137.37787 -6.55282,137.26887 -8.62379,140.60199 -9.30503,142.94545 -9.33228,144.47143 -8.65104,145.47966 -9.25053,148.01387 -10.39501,150.68433 -10.8855,151.03857 -10.23151,150.30283 -9.85002,149.59434 -9.16878,148.80411 -8.16055,148.28636 -7.23406,147.90487 -5.98058,146.46064 -5.43559,146.24265 -4.31836,143.81744 -3.14663,137.93153 -0.88492,135.12483 -2.68339,134.44359 -0.50342,132.99936 0.42306))"
 ]
}

 The dataset includes 285 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072580-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3kkfjx
title: Occurrence Download

description: A dataset containing 14825804 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is NABU|naturgucker"
 ]
}

 The dataset includes 14825804 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072557-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7sact9
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Serbia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Hieraaetus pennatus (Gmelin, 1788)"
 ]
}

 The dataset includes 38 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072581-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qmb4qa
title: Occurrence Download

description: A dataset containing 31404 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-6.49597 36.73087,-6.14137 36.02285,-5.41316 35.96137,-5.07121 36.38563,-5.12821 36.89373,-5.7551 37.19635,-6.49597 36.73087))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 31404 records from 125 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072579-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fgvnry
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Serbia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Oenanthe hispanica (Linnaeus, 1758)"
 ]
}

 The dataset includes 29 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072582-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23729/32a321ac-9012-4f17-a849-a4e7ed6b6c8c
title: 10k random 512x512 pixel Sentinel 2 Level-1C RGB satellite images over Finland, years 2015–2022

description: A dataset of 10 000 Sentinel 2 Level-1C RGB satellite images, 512x512 pixels (minimum) at 10 m / pixel resolution, centered at random locations in Finland over the years 2015–2022, collected for machine learning purposes.

There is a machine-downloadable mirror of the dataset at: https://a3s.fi/swift/v1/AUTH_ef7e4759a26645089a38de9633f52afd/sentinel2-l1c-rgb-finland-10k/

Each image is large enough to contain a 5120 m x 5120 m square in WGS 84 / UTM zone 35N coordinate system. Individual images come in their native coordinate system (depending on the coordinate system of the original satellite image tile) which is either WGS84 / UTM zone 34N or 35N and have a minimum size of 512x512 pixels at 10 m / pixel resolution in both their native coordinate system and in WGS84 / UTM zone 35N. The format is netCDF following the CF-1.9 convention. Location and time information is included with the images. The data was downloaded from the openEO platform of Copernicus Data Space Ecosystem without screening against cloudy images. Images containing missing data (typically at original satellite image swath edges) have been removed and replaced with valid images.

The used approximate geographical area of Finland is based on free vector data from Natural Earth. https://www.naturalearthdata.com/downloads/10m-cultural-vectors/10m-admin-0-countries/ The procedure to simplify the geometry in QGIS was: Select country, Keep N biggest parts (20 parts), Multipart to singleparts, Simplify (tolerance 0.01 deg), save GeoJson at a precision of 2 decimal places.

Source code for building the dataset is available at https://github.com/hamk-uas/sentinel2-l1c-random-finland.

Contains Copernicus Sentinel data 2015–2022.
DOI: 10.15468/dl.3psrdq
title: Occurrence Download

description: A dataset containing 484035 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (CHN.17_1, CHN.11_1, CHN.4_1, CHN.22_1, CHN.5_1, CHN.9_1, CHN.16_1, CHN.21_1, CHN.26_1)",
 "IucnRedListCategory is one of (NE, DD, LC, NT, VU, EN, CR, EW, EX)",
 "Year 2000-2021"
 ]
}

 The dataset includes 484035 records from 617 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072542-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kdp376
title: Occurrence Download

description: A dataset containing 281 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is UPNG Natural History Collection Plant Family Acanthaceae to Anacardiaceae",
 "Geometry POLYGON((132.21194 -0.24698,130.37339 -1.06411,130.95705 -1.85206,132.94152 -4.56611,136.32679 -5.17896,137.99023 -6.49221,136.70617 -9.06034,141.87162 -9.76074,144.61485 -9.67319,144.96505 -8.38912,148.05848 -11.07399,151.006 -11.395,151.50211 -10.81134,150.94763 -10.05257,149.80948 -9.1187,148.84643 -8.21402,148.26277 -7.22179,147.94175 -6.40466,147.21216 -5.64589,145.9281 -5.06223,145.0526 -3.77816,143.53507 -2.81511,141.05448 -1.93961,138.749 -0.91819,137.75677 -0.77227,136.56025 -1.64777,135.39292 -2.26063,134.86762 -1.56022,133.99212 -0.50963,133.02907 -0.15943,132.21194 -0.24698))"
 ]
}

 The dataset includes 281 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072583-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mysk7d
title: Occurrence Download

description: A dataset containing 1953 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Serbia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Spatula querquedula (Linnaeus, 1758)"
 ]
}

 The dataset includes 1953 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072584-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2j94bk
title: Occurrence Download

description: A dataset containing 98 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mystacina tuberculata Gray, 1843"
 ]
}

 The dataset includes 98 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072585-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.thyr37
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Serbia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Alectoris graeca (Meisner, 1804)"
 ]
}

 The dataset includes 50 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072586-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nzbnxr
title: Occurrence Download

description: A dataset containing 243 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Living Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Fitzroya cupressoides (Molina) I.M.Johnst."
 ]
}

 The dataset includes 243 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072588-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vc9p9g
title: Occurrence Download

description: A dataset containing 917 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Serbia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Platalea leucorodia Linnaeus, 1758"
 ]
}

 The dataset includes 917 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072589-241126133413365/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.28219188
title: Supplementary Material from Total acoustic transmission between fluids using a solid material with emphasis on the air-water interface

description: ESM files_V2.zip
DOI: 10.6084/m9.figshare.28219188.v1
title: Supplementary Material from Total acoustic transmission between fluids using a solid material with emphasis on the air-water interface

description: ESM files_V2.zip
DOI: 10.34740/kaggle/dsv/10487164
title: Trending Youtube Video Statistics (113 Countries)
DOI: 10.17866/rd.salford.27135807
title: 03/08/24 - Christian Progressive College Pretoria and Film Screening in Johannesburg

description: Delivery: Simon Stanton-Sharma and Jade Munslow OngFilm Screening of <i>You Can't Get Lost in Joburg</i>' in Bioscope Johannesburg, 3rd AugustLectures and a video essay workshop to 207 Grade 11 students (aged 16 and 17) to a college in PretoriaData collected available:103 Postcards14 Written feedback notes
DOI: 10.17866/rd.salford.27135807.v2
title: 03/08/24 - Christian Progressive College Pretoria and Film Screening in Johannesburg

description: Delivery: Simon Stanton-Sharma and Jade Munslow OngFilm Screening of <i>You Can't Get Lost in Joburg</i>' in Bioscope Johannesburg, 3rd AugustLectures and a video essay workshop to 207 Grade 11 students (aged 16 and 17) to a college in PretoriaData collected available:103 Postcards14 Written feedback notes
DOI: 10.17866/rd.salford.27135807.v1
title: 02/08/24 - Christian Progressive College, Pretoria

description: Delivery: Simon Stanton-Sharma and Jade Munslow OngLectures and a video essay workshop to 207 Grade 11 students (aged 16 and 17) to a college in PretoriaData collected available:103 Postcards14 Written feedback notes
DOI: 10.15468/dl.x5daee
title: Occurrence Download

description: A dataset containing 206 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Serbia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Botaurus stellaris (Linnaeus, 1758)"
 ]
}

 The dataset includes 206 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072590-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qv8bjg
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Serbia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Bubo bubo (Linnaeus, 1758)"
 ]
}

 The dataset includes 26 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072591-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.