cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.7s3c66
title: Occurrence Download

description: A dataset containing 242 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "TaxonKey is Polyodon spathula (Walbaum, 1792)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 242 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000268-180920211646547/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zzfdqx
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-115.09277 29.43721,-108.01758 24.99873,-101.38184 25.13057,-98.96484 31.62832,-98.39355 36.24873,-101.55762 39.41279,-102.2168 41.03877,-103.49121 42.53291,-111.44531 42.22529,-115.83984 41.2585,-117.90527 40.24775,-120.25635 38.53696,-121.37695 36.64424,-120.76172 34.35908,-117.6416 33.48018,-117.33398 32.60127,-115.09277 29.43721))",
 "TaxonKey is Salsola paulsenii L."
 ]
}

 The dataset includes 36 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004078-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bh9xak
title: Occurrence Download

description: A dataset containing 21962 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is United States of America",
 "Country is Mexico",
 "Country is Haiti",
 "Country is Canada",
 "Country is Bahamas",
 "Country is Puerto Rico",
 "Country is Cuba",
 "Country is Guatemala",
 "Country is Dominican Republic",
 "Country is Costa Rica"
 ]
 },
 "TaxonKey is Eptesicus fuscus (Palisot de Beauvois, 1796)"
 ]
}

 The dataset includes 21962 records from 142 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035394-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g3hz3h
title: Occurrence Download

description: A dataset containing 3158227 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Perdix perdix (Linnaeus, 1758), Vanellus vanellus (Linnaeus, 1758), Carduelis carduelis (Linnaeus, 1758), Columba oenas Linnaeus, 1758, Emberiza calandra Linnaeus, 1758, Streptopelia turtur (Linnaeus, 1758), Alauda arvensis Linnaeus, 1758, Sylvia communis Latham, 1787, Carduelis cannabina (Linnaeus, 1758), Emberiza citrinella Linnaeus, 1758, Sturnus vulgaris Linnaeus, 1758, Passer montanus (Linnaeus, 1758))",
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 3158227 records from 166 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027950-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zsgzqt
title: Occurrence Download

description: A dataset containing 5866 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Africa, Asia, Oceania)",
 "TaxonKey is Bruguiera gymnorhiza (L.) Lam."
 ]
}

 The dataset includes 5866 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027957-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13832362
title: Comprehensive Dataset for Detecting Road Anomalies in Diverse Real-World Situations

description: In Smart Cities, technologies are playing an important role in efficiently managing the rapid growth of the world's industrialization today. The deployment of surveillance cameras has proliferated to improve public safety and security. Many Closed-Circuit Television (CCTV) cameras have been installed to monitor and safeguard public spaces efficiently within the cities. Despite advancements in technology, video and image processing still largely rely on manual observation. This manual analysis is time-consuming, prone to missing critical details, and costly in terms of labor and resources. Nevertheless, monitoring large video feeds for long periods indicates fatigue, demise of focus, and errors, particularly when video surveillance is a necessity. Road anomaly detection is one of the prominent computer vision issues that researchers have investigated to guarantee public safety. Road anomaly identification is increasingly difficult and complex due to the variety and complexity of abnormalities. Deep learning algorithms must be efficient but also need a large dataset to train to recognize road anomalies in different environments. We proposed a custom real-world data set containing road anomaly images and videos that are made available to the public and private surveillance systems. Primary data were collected from diverse sites in Pakistan, and the data were gathered by recording videos and capturing images by using mobile and surveillance cameras The dataset encompasses five major categories of road anomaly effects.: vehicle accidents, vehicle fire, fighting, snatching(gunpoint), and potholes that classification modeling while promoting improvement in both scientific research and realistic application. The dataset also encompasses annotations with You Only Look Once (YOLO) based bounding boxes and class label files in text format for every image.   The researchers can utilize data to train and validate their anomaly detection algorithms and models, thus increasing public security and safety. This dataset focuses on natural environment scenes with a detailed examination of safe transportation and impacts on broader environmental knowledge. Data can give to the liable and ethical arrangement of Artificial Intelligence technologies in surveillance security system
DOI: 10.5281/zenodo.13832363
title: Comprehensive Dataset for Detecting Road Anomalies in Diverse Real-World Situations

description: In Smart Cities, technologies are playing an important role in efficiently managing the rapid growth of the world's industrialization today. The deployment of surveillance cameras has proliferated to improve public safety and security. Many Closed-Circuit Television (CCTV) cameras have been installed to monitor and safeguard public spaces efficiently within the cities. Despite advancements in technology, video and image processing still largely rely on manual observation. This manual analysis is time-consuming, prone to missing critical details, and costly in terms of labor and resources. Nevertheless, monitoring large video feeds for long periods indicates fatigue, demise of focus, and errors, particularly when video surveillance is a necessity. Road anomaly detection is one of the prominent computer vision issues that researchers have investigated to guarantee public safety. Road anomaly identification is increasingly difficult and complex due to the variety and complexity of abnormalities. Deep learning algorithms must be efficient but also need a large dataset to train to recognize road anomalies in different environments. We proposed a custom real-world data set containing road anomaly images and videos that are made available to the public and private surveillance systems. Primary data were collected from diverse sites in Pakistan, and the data were gathered by recording videos and capturing images by using mobile and surveillance cameras The dataset encompasses five major categories of road anomaly effects.: vehicle accidents, vehicle fire, fighting, snatching(gunpoint), and potholes that classification modeling while promoting improvement in both scientific research and realistic application. The dataset also encompasses annotations with You Only Look Once (YOLO) based bounding boxes and class label files in text format for every image.   The researchers can utilize data to train and validate their anomaly detection algorithms and models, thus increasing public security and safety. This dataset focuses on natural environment scenes with a detailed examination of safe transportation and impacts on broader environmental knowledge. Data can give to the liable and ethical arrangement of Artificial Intelligence technologies in surveillance security system
DOI: 10.5281/zenodo.13831681
title: Crafting Nanostructured Hybrid Block Copolymer–Gold Nanoparticles by Confined Self-Assembly in Evaporative Droplets
DOI: 10.5281/zenodo.13831682
title: Crafting Nanostructured Hybrid Block Copolymer–Gold Nanoparticles by Confined Self-Assembly in Evaporative Droplets
DOI: 10.5281/zenodo.13832512
title: Raw Data- Differential fatty acids utilization across life stages in a Vespa species
DOI: 10.5281/zenodo.13832513
title: Raw Data- Differential fatty acids utilization across life stages in a Vespa species
DOI: 10.15468/dl.9cq2kz
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aparasphenodon arapapa Pimenta, Napoli & Haddad, 2009"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027958-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25592/uhhfdm.12722
title: Multispektraler Datensatz zu der Handschrift Zentralbibliothek Zürich, RP 3 "Zürcher Liebesbriefe"

description: The manuscript RP3 of the Zentralbibliothek in Zurich contains six love letters, the ‘Zürcher Liebesbriefe’  (‘Zurich Love Letters’) and one Minneleich (a complex love song). The manuscript was written in German in the early 14<sup>th</sup> century. It was produced from parchment in a particularly small format of 6,9 x 3.5 cm. The miniature manuscript was discovered during construction works in a house in Zurich. Due to water damage the manuscript became partially illegible. In an early attempt to recover the text, in the 19<sup>th</sup> century, it was chemically treated with oak gall reagent which further irreparably damaged parts of the text and made future recovery attempts impossible until the emergence of multispectral imaging technology and the statistical image processing methods of today. Multispectral imaging of this manuscript was performed by CSMC in 2017 while working on another project at Zentralbibliothek Zurich. The suggestion came from the staff of the library without whom this project would not have been possible. Based on performed imaging and image processing work we were able to correct the older editions of the strongly damaged first love letter. The forthcoming publication gives the new reading of this text and focuses also on the codicological peculiarities and the significance of the of the manuscript of the ‘Zürcher Liebesbriefe‘ for the German literary history.

Publication:

Marco Heiles and Ivan Shevchuk: <em>Zürcher Liebesbrief I</em>. Neuedition nach Multispektralaufnahmen, in: Germanistische und andere Kleinigkeiten. Freundschaftsschrift für Thomas Bein, hrsg. von Jens Burkert. Berlin 2024, S. 54–75. (forthcoming)

 

Data:

Images in preview are compressed and of lower quality. They are mainly intended to serve as thumbnails.

Original TIF images including the ones used for the publication, can be found in the PROCESSED folder (zip file).

 

More information on the manuscript:


 Digital images and metadata: https://doi.org/10.7891/e-manuscripta-86215
 Short description and bibliography: https://handschriftencensus.de/1364
description: The research for this project was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) within the Sonderforschungsbereich 950 (SFB 950). The research was conducted within the scope of the Centre for the Study of Manuscript Cultures (CSMC) at Universität Hamburg in collaboration with the Bundesanstalt für Materialforschung und -prüfung (BAM).
description: {"references": ["https://doi.org/10.7891/e-manuscripta-86215", "https://www.e-manuscripta.ch/zuz/doi/10.7891/e-manuscripta-86215", "https://handschriftencensus.de/1364"]}
DOI: 10.15468/dl.gpf8bc
title: Occurrence Download

description: A dataset containing 22108 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Centaurea solstitialis L."
 ]
}

 The dataset includes 22108 records from 443 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027956-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25592/uhhfdm.12721
title: Multispektraler Datensatz zu der Handschrift Zentralbibliothek Zürich, RP 3 "Zürcher Liebesbriefe"

description: The manuscript RP3 of the Zentralbibliothek in Zurich contains six love letters, the ‘Zürcher Liebesbriefe’  (‘Zurich Love Letters’) and one Minneleich (a complex love song). The manuscript was written in German in the early 14<sup>th</sup> century. It was produced from parchment in a particularly small format of 6,9 x 3.5 cm. The miniature manuscript was discovered during construction works in a house in Zurich. Due to water damage the manuscript became partially illegible. In an early attempt to recover the text, in the 19<sup>th</sup> century, it was chemically treated with oak gall reagent which further irreparably damaged parts of the text and made future recovery attempts impossible until the emergence of multispectral imaging technology and the statistical image processing methods of today. Multispectral imaging of this manuscript was performed by CSMC in 2017 while working on another project at Zentralbibliothek Zurich. The suggestion came from the staff of the library without whom this project would not have been possible. Based on performed imaging and image processing work we were able to correct the older editions of the strongly damaged first love letter. The forthcoming publication gives the new reading of this text and focuses also on the codicological peculiarities and the significance of the of the manuscript of the ‘Zürcher Liebesbriefe‘ for the German literary history.

Publication:

Marco Heiles and Ivan Shevchuk: <em>Zürcher Liebesbrief I</em>. Neuedition nach Multispektralaufnahmen, in: Germanistische und andere Kleinigkeiten. Freundschaftsschrift für Thomas Bein, hrsg. von Jens Burkert. Berlin 2024, S. 54–75. (forthcoming)

 

Data:

Images in preview are compressed and of lower quality. They are mainly intended to serve as thumbnails.

Original TIF images including the ones used for the publication, can be found in the PROCESSED folder (zip file).

 

More information on the manuscript:


 Digital images and metadata: https://doi.org/10.7891/e-manuscripta-86215
 Short description and bibliography: https://handschriftencensus.de/1364
description: The research for this project was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) within the Sonderforschungsbereich 950 (SFB 950). The research was conducted within the scope of the Centre for the Study of Manuscript Cultures (CSMC) at Universität Hamburg in collaboration with the Bundesanstalt für Materialforschung und -prüfung (BAM).
description: {"references": ["https://doi.org/10.7891/e-manuscripta-86215", "https://www.e-manuscripta.ch/zuz/doi/10.7891/e-manuscripta-86215", "https://handschriftencensus.de/1364"]}
DOI: 10.15468/dl.5n58q2
title: Occurrence Download

description: A dataset containing 1448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ukraine",
 "TaxonKey is Rana arvalis Nilsson, 1842"
 ]
}

 The dataset includes 1448 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027959-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rcnj9n
title: Occurrence Download

description: A dataset containing 1157 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ukraine",
 "TaxonKey is Rana temporaria Linnaeus, 1758"
 ]
}

 The dataset includes 1157 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027960-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b7ahae
title: Occurrence Download

description: A dataset containing 328 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ukraine",
 "TaxonKey is Rana dalmatina Fitzinger, 1838"
 ]
}

 The dataset includes 328 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027961-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qcpwkf
title: Occurrence Download

description: A dataset containing 124 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Theloderma corticale (Boulenger, 1903)"
 ]
}

 The dataset includes 124 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027963-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7wddr8
title: Occurrence Download

description: A dataset containing 42278 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Xylocopa violacea (Linnaeus, 1758)"
 ]
}

 The dataset includes 42278 records from 796 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027962-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.okiykb
title: Occurrence Download

description: A dataset containing 29943 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tursiops truncatus (Montagu, 1821)"
 ]
}

 The dataset includes 29943 records from 151 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059749-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5cm38h
title: Occurrence Download

description: A dataset containing 472 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Isoetes occidentalis Hend."
 ]
}

 The dataset includes 472 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0165998-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tq3hff
title: Occurrence Download

description: A dataset containing 5002 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Living Specimen"
 ]
 },
 "Continent is South America",
 "Country is Colombia",
 {
 "or" : [
 "DatasetKey is Aves de los Parques Ecológicos Distritales Humedales Bogotá, D.C.",
 "DatasetKey is Seguimiento a la Fauna presente en las Actividades de Mantenimiento realizadas entre la Empresa de Acueducto y Alcantarillado de Bogotá ESP y Aguas de Bogotá SA ESP en los Parques Ecológicos Distritales de Humedal, Bogotá D.C.",
 "DatasetKey is Observation.org, Nature data from around the World"
 ]
 },
 "Geometry POLYGON((-74.50104 4.2752,-73.63861 4.2752,-73.63861 4.94867,-74.50104 4.94867,-74.50104 4.2752))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "Year 2020-2021"
 ]
}

 The dataset includes 5002 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0298575-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.azxvvv
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bulbine erectipilosa G.Will."
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069851-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hdwc7g
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Guatteria cuscoensis Maas & Westra"
 ]
}

 The dataset includes 27 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0165999-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m9lkzd
title: Occurrence Download

description: A dataset containing 3892831 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Year 2010-2018",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3892831 records from 293 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015651-171219132708484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e4z6m6
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is NMNH Extant Specimen Records (USNM, US)",
 "TaxonKey is Telmatactis Gravier, 1916",
 "VerbatimScientificName is telmatactis vernonia"
 ]
}

 The dataset includes 9 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004559-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ntm392
title: Occurrence Download

description: A dataset containing 167685 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus nigra J.F.Arnold",
 "HasCoordinate is true"
 ]
}

 The dataset includes 167685 records from 397 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0298554-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cppzf3
title: Occurrence Download

description: A dataset containing 359 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bradypus variegatus Schinz, 1825",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 359 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015652-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.