cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ker9xy
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phemeranthus teretifolius Raf.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 26 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006362-160526112335914/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8dvwya
title: Occurrence Download

description: A dataset containing 13850 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coccinella undecimpunctata Linnaeus, 1758"
 ]
}

 The dataset includes 13850 records from 155 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089666-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5593q8
title: Occurrence Download

description: A dataset containing 8043 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chrysina Kirby, 1828"
 ]
}

 The dataset includes 8043 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058904-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fff88f
title: Occurrence Download

description: A dataset containing 187 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carex rotundata Wahlenb.",
 "Country is Canada"
 ]
}

 The dataset includes 187 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006362-160803222355964/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x2tnes
title: Occurrence Download

description: A dataset containing 28948 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Continent is North America",
 "Continent is South America"
 ]
 },
 "Geometry POLYGON((-174.44531 69.90012,-178.94531 -59.31974,-67.00781 -55.69739,-71.50781 -38.27268,-61.38282 -7.71098,-88.94531 15.69076,-101.32031 23.62842,-130.00781 69.31211,-174.44531 69.90012))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Decapoda"
 ]
}

 The dataset includes 28948 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0137647-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k44s25
title: Occurrence Download

description: A dataset containing 175 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Geobatrachus walkeri Ruthven, 1915"
 ]
}

 The dataset includes 175 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019233-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.1wbs27
title: Occurrence Download

description: A dataset containing 413 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Forsythia koreana (Rehder) Nakai"
 ]
}

 The dataset includes 413 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006362-171124123535762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2qb2d6
title: Occurrence Download

description: A dataset containing 2705483 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 1998-2021"
 ]
}

 The dataset includes 2705483 records from 1408 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0347099-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mfrd7p
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mozambique",
 "OccurrenceStatus is Present",
 "TaxonKey is Oxyanthus biflorus J.E.Burrows & S.M.Burrows"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073655-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8b44y8
title: Occurrence Download

description: A dataset listing the 178 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Croatia",
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((15.91882 45.75746,16.0898 45.75746,16.0898 45.87184,15.91882 45.87184,15.91882 45.85168,15.91882 45.75746))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Syrphidae, Lepidoptera, Hymenoptera)",
 "Year 2020-2024"
 ]
}

 The dataset's 178 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073644-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w5fc95
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.065699 -34.682406, 149.065699 -34.684652, 149.063454 -34.684652, 149.063454 -34.689143, 149.065699 -34.689143, 149.065699 -34.686897, 149.070191 -34.686897, 149.070191 -34.684652, 149.074683 -34.684652, 149.074683 -34.682406, 149.065699 -34.682406))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073656-240626123714530/datasets/export for details.
DOI: 10.23729/fa115087-2698-4aa5-aedd-11e260b9694d
title: SYKE-plankton_ZooScan_2024

description: The SYKE-plankton_ZooScan_2024 dataset consists of over 24k expert-labeled single-specimen zooplankton images. The dataset was acquired using the ZooScan instrument applied to water samples collected from the Baltic Sea. The data is divided into 20 classes and all images were annotated by an expert taxonomist. 

While the dataset can be used to train and test plankton recognition models in general, it was original composed to train and test open-set recognition (OSR) methods. We provide the splits for OSR used in the original publication. Furthermore, we provide the corresponding OSR splits for the SYKE-plankton_IFCB_2022 dataset published earlier.

If you use the SYKE-plankton_ZooScan_2024 dataset in your research, we kindly ask that you reference the following paper:

Kareinen, J., Skyttä, A., Eerola, T., Kraft, K., Lensu, L., Suikkanen, S., Lehtiniemi, M., & Kälviäinen, H. (2024). Open-Set Plankton Recognition. Out of Distribution Generalization in Computer Vision workshop at ECCV 2024.

For more details about the data collection and composition, as well as, the comparison of OSR methods on both dataset, see the paper.
DOI: 10.5281/zenodo.13332814
title: chroniclingnovelty/chronicles-datasets: Kronieken Dataset

description: This repository contains the (annotated) XML files of the corpus of early modern chronicles that was created in the context of the NWO project Chronicling Novelty. New knowledge in the Netherlands 1500-1850, which ran from 2018 to 2024.

Creators: Judith Pollmann, Erika Kuijpers, Carolina Lenarduzzi, Theo Dekker, Alie Lassche, Roser Morante and with the help of many student assistants and volunteers, see the credits file.



Scans of the manuscripts together with the transcriptions and annotations can be viewed and searched on this website.

Notes on the individual chronicles and their authors can be found here.




For a detailed description of the corpus:





Theo Dekker, Erika Kuijpers, Alie Lassche, Carolina Lenarduzzi, Roser Morante, and Judith Pollmann. 2024. The Kronieken Corpus: an Annotated Collection of Dutch/Flemish Chronicles from 1500-1850. In Proceedings of the 8th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL 2024), pages 243–252, St. Julians, Malta. Association for Computational Linguistics.
DOI: 10.5281/zenodo.13332815
title: chroniclingnovelty/chronicles-datasets: Kronieken Dataset

description: This repository contains the (annotated) XML files of the corpus of early modern chronicles that was created in the context of the NWO project Chronicling Novelty. New knowledge in the Netherlands 1500-1850, which ran from 2018 to 2024.

Creators: Judith Pollmann, Erika Kuijpers, Carolina Lenarduzzi, Theo Dekker, Alie Lassche, Roser Morante and with the help of many student assistants and volunteers, see the credits file.



Scans of the manuscripts together with the transcriptions and annotations can be viewed and searched on this website.

Notes on the individual chronicles and their authors can be found here.




For a detailed description of the corpus:





Theo Dekker, Erika Kuijpers, Alie Lassche, Carolina Lenarduzzi, Roser Morante, and Judith Pollmann. 2024. The Kronieken Corpus: an Annotated Collection of Dutch/Flemish Chronicles from 1500-1850. In Proceedings of the 8th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL 2024), pages 243–252, St. Julians, Malta. Association for Computational Linguistics.
DOI: 10.15468/dl.dm2b38
title: Occurrence Download

description: A dataset containing 36816 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Nasturtium microphyllum (Boenn. ex Rchb.) Rchb."
 ]
}

 The dataset includes 36816 records from 256 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073657-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y6usnd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.090403 -34.673423, 149.090403 -34.675668, 149.088157 -34.675668, 149.088157 -34.677914, 149.085912 -34.677914, 149.085912 -34.682406, 149.08142 -34.682406, 149.08142 -34.684652, 149.088157 -34.684652, 149.088157 -34.686897, 149.090403 -34.686897, 149.090403 -34.682406, 149.094895 -34.682406, 149.094895 -34.675668, 149.097141 -34.675668, 149.097141 -34.673423, 149.090403 -34.673423))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073658-240626123714530/datasets/export for details.
DOI: 10.15468/dl.6gsavd
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mozambique",
 "OccurrenceStatus is Present",
 "TaxonKey is Berlinia orientalis Brenan"
 ]
}

 The dataset includes 18 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073659-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tya5kq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((147.983224 -34.686897, 147.983224 -34.691389, 147.98547 -34.691389, 147.98547 -34.689143, 147.987716 -34.689143, 147.987716 -34.686897, 147.983224 -34.686897))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073660-240626123714530/datasets/export for details.
DOI: 10.15468/dl.5xyygw
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mozambique",
 "OccurrenceStatus is Present",
 "TaxonKey is Oxyanthus strigosus Bridson & J.E.Burrows"
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073661-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u4bfdu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.202693 -34.691389, 149.202693 -34.695881, 149.209431 -34.695881, 149.209431 -34.691389, 149.202693 -34.691389))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073662-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26779924
title: Suppl. Table S1.xlsx of Modulating Vertebrate Physiology by Genomic Fine-Tuning of GPCR Functions

description: This is a supplementary file for the paper "Modulating Vertebrate Physiology by Genomic Fine-Tuning of GPCR Functions" published in Physiological Reviews
DOI: 10.15468/dl.39mpd6
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mozambique",
 "OccurrenceStatus is Present",
 "TaxonKey is Pavetta macrosepala var. macrosepala"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073663-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7795/720.20240226
title: Development of Flip-Chip Technology for the Optical Drive of Superconducting Circuits

description: We discuss the flip-chip mounting process of photodiodes and fiber sleeves on silicon substrates for highly integrated and hybrid quantum circuits for operation at cryogenic temperatures. The size of the gold stud bumps and flip-chip parameters were optimized. Moreover, to connect optical fibers to the photodiodes in an optimal position, the fiber sleeves were aligned with specially fabricated alignment circles before applying thermocompression with the flip-chip machine. The mounted photodiodes were tested at both room temperature and cryogenic temperature, and we find that mechanical imperfections of the sleeve-ferrule combination limit the overall alignment accuracy. The experimental results show that our flip-chip process is very reliable and promising for various optical and electrical applications and, thus, paves the way for fabrication of hybrid chips, multi-chip modules and chip-on-chip solutions, which are operated at cryogenic temperatures.
description: Fig5b.dat: Intensity image values over a vertical section of Fig. 5a.
Column 1: horizontal position (unit: micrometer)
Column 2: intensity signal (unit: arbitrary units)

Fig6.dat: 2D spatial distribution of the normalized photocurrent of one photodiode under irradiation by CW laser light versus x-y position of the ferrule over the photodiode.
Laser power: P = 1.6 mW
Normalization photocurrent: Idc(max) = 1.2 mA
Distance ferrule-photodiode: z = 0 µm
Image dimension: 160 × 160 µm
Point spacing: 10 × 10 µm
Values: normalized photocurrent (unit: %)

Fig7.dat: Dependence of the DC output current of one photodiode under irradiation by CW laser light versus the rotation angle of the chip with respect to the ferrule.
Laser power: P = 1.6 mW
Normalization photocurrent: Idc(max) = 1.2 mA
column 1: rotation angle (unit: degrees)
column 2: normalized photocurrent for fiber 1 (unit: %)
column 3: normalized photocurrent for fiber 2 (unit: %)
description: This work was partly funded by the EMPIR programme co-financed by the Participating States and from the European Union’s Horizon 2020 research and innovation programme (contract number 20FUN07 SuperQuant) and by the German Federal Ministry of Education and Research (contract number: 13N15934).
DOI: 10.6084/m9.figshare.24659154
title: Belowground traits, rare species, and environmental stress regulate the biodiversity-ecosystem function relationship

description: The dataset represents data used in the publication "Belowground traits, rare species, and environmental stress regulate the biodiversity-ecosystem function relationship". ABSTRACT(1) Understanding the relationship between biodiversity and ecosystem functioning (BEF) is crucial to predicting the consequences of ongoing global biodiversity loss. However, what drives BEF relationships in natural ecosystems under globally changing conditions remains poorly understood.(2) To address this knowledge gap, we applied a trait-based approach to data from coastal dune plant communities distributed along a natural environmental stress gradient. Specifically, we compared the relative importance of belowground and aboveground traits in predicting productivity, decomposition, water regulation, carbon stock, and nutrient pools, and tested how these BEF relationships were modulated by environmental stress and the presence of rare species that are typically excluded from experimental systems.(3) Belowground traits were just as important as aboveground traits in driving ecosystem functioning. Moreover, despite having low abundances, rare species positively influenced ecosystem multifunctionality. However, most biodiversity effects became weaker as environmental stress increased.(4) Our study shows that to understand variation in ecosystem functioning we must consider belowground traits as much as aboveground ones. Moreover, it highlights the importance of conserving rare species for maintaining ecosystem multifunctionality. However, our findings also suggest that rapid global change could dampen the positive effects of diversity on ecosystem functioning.
DOI: 10.6084/m9.figshare.24659154.v2
title: Belowground traits, rare species, and environmental stress regulate the biodiversity-ecosystem function relationship

description: The dataset represents data used in the publication "Belowground traits, rare species, and environmental stress regulate the biodiversity-ecosystem function relationship". ABSTRACT(1) Understanding the relationship between biodiversity and ecosystem functioning (BEF) is crucial to predicting the consequences of ongoing global biodiversity loss. However, what drives BEF relationships in natural ecosystems under globally changing conditions remains poorly understood.(2) To address this knowledge gap, we applied a trait-based approach to data from coastal dune plant communities distributed along a natural environmental stress gradient. Specifically, we compared the relative importance of belowground and aboveground traits in predicting productivity, decomposition, water regulation, carbon stock, and nutrient pools, and tested how these BEF relationships were modulated by environmental stress and the presence of rare species that are typically excluded from experimental systems.(3) Belowground traits were just as important as aboveground traits in driving ecosystem functioning. Moreover, despite having low abundances, rare species positively influenced ecosystem multifunctionality. However, most biodiversity effects became weaker as environmental stress increased.(4) Our study shows that to understand variation in ecosystem functioning we must consider belowground traits as much as aboveground ones. Moreover, it highlights the importance of conserving rare species for maintaining ecosystem multifunctionality. However, our findings also suggest that rapid global change could dampen the positive effects of diversity on ecosystem functioning.
DOI: 10.15468/dl.9wft5q
title: Occurrence Download

description: A dataset containing 88 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((149.454223 -34.659948, 149.454223 -34.662194, 149.456469 -34.662194, 149.456469 -34.659948, 149.454223 -34.659948)), ((149.456469 -34.662194, 149.456469 -34.666685, 149.458714 -34.666685, 149.458714 -34.662194, 149.456469 -34.662194)), ((149.456469 -34.666685, 149.454223 -34.666685, 149.454223 -34.668931, 149.447485 -34.668931, 149.447485 -34.675668, 149.449731 -34.675668, 149.449731 -34.677914, 149.447485 -34.677914, 149.447485 -34.684652, 149.449731 -34.684652, 149.449731 -34.689143, 149.454223 -34.689143, 149.454223 -34.695881, 149.456469 -34.695881, 149.456469 -34.698126, 149.46096 -34.698126, 149.46096 -34.700372, 149.465452 -34.700372, 149.465452 -34.702618, 149.472189 -34.702618, 149.472189 -34.698126, 149.469943 -34.698126, 149.469943 -34.691389, 149.474435 -34.691389, 149.474435 -34.689143, 149.481172 -34.689143, 149.481172 -34.686897, 149.48791 -34.686897, 149.48791 -34.682406, 149.481172 -34.682406, 149.481172 -34.677914, 149.478926 -34.677914, 149.478926 -34.668931, 149.476681 -34.668931, 149.476681 -34.666685, 149.472189 -34.666685, 149.472189 -34.662194, 149.469943 -34.662194, 149.469943 -34.659948, 149.458714 -34.659948, 149.458714 -34.662194, 149.463206 -34.662194, 149.463206 -34.668931, 149.456469 -34.668931, 149.456469 -34.666685)))"
 ]
}

 The dataset includes 88 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073664-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x8fqmm
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Bhutan, India)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhododendron keysii Nutt."
 ]
}

 The dataset includes 66 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073665-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xs5b6d
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((146.770493 -34.673423, 146.770493 -34.675668, 146.766001 -34.675668, 146.766001 -34.677914, 146.757018 -34.677914, 146.757018 -34.682406, 146.752527 -34.682406, 146.752527 -34.693635, 146.757018 -34.693635, 146.757018 -34.698126, 146.76151 -34.698126, 146.76151 -34.700372, 146.766001 -34.700372, 146.766001 -34.702618, 146.774984 -34.702618, 146.774984 -34.704864, 146.792951 -34.704864, 146.792951 -34.702618, 146.801934 -34.702618, 146.801934 -34.700372, 146.806426 -34.700372, 146.806426 -34.698126, 146.810917 -34.698126, 146.810917 -34.682406, 146.806426 -34.682406, 146.806426 -34.68016, 146.801934 -34.68016, 146.801934 -34.677914, 146.797442 -34.677914, 146.797442 -34.675668, 146.788459 -34.675668, 146.788459 -34.673423, 146.770493 -34.673423))"
 ]
}

 The dataset includes 55 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073666-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.