cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.379gxh
title: Occurrence Download

description: A dataset containing 2577 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-106.5030667000000051 31.7638606999999986, -106.5030667000000051 31.7657076899999993, -106.5030667000000051 31.7688979399999987, -106.5030667000000051 31.7710807399999986, -106.5030667000000051 31.7737672700000005, -106.5030667000000051 31.7764537999999988, -106.5030667000000051 31.7806515000000012, -106.5000380500000006 31.7806515000000012, -106.4975138599999980 31.7806515000000012, -106.4943165499999935 31.7806515000000012, -106.4904461299999952 31.7806515000000012, -106.4864074299999999 31.7806515000000012, -106.4827052899999984 31.7806515000000012, -106.4790031400000032 31.7806515000000012, -106.4756375599999956 31.7806515000000012, -106.4734502999999961 31.7806515000000012, -106.4734502999999961 31.7767896199999988, -106.4734502999999961 31.7739351799999987, -106.4734502999999961 31.7704091099999992, -106.4734502999999961 31.7673867700000017, -106.4734502999999961 31.7638606999999986, -106.4778251900000043 31.7638606999999986, -106.4818638899999996 31.7638606999999986, -106.4850611899999961 31.7638606999999986, -106.4875853799999987 31.7638606999999986, -106.4907826900000032 31.7638606999999986, -106.4956627899999972 31.7638606999999986, -106.4980186899999950 31.7638606999999986, -106.5030667000000051 31.7638606999999986))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 2577 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0100816-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bpfjhp
title: Occurrence Download

description: A dataset containing 164197 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Salix alba L."
 ]
}

 The dataset includes 164197 records from 581 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020412-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j8hweb
title: Occurrence Download

description: A dataset containing 19975 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Chamaepetes Wagler, 1832"
 ]
}

 The dataset includes 19975 records from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0191360-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4sz9sv
title: Occurrence Download

description: A dataset containing 4030 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Oreotrochilus chimborazo (Delattre & Bourcier, 1846)"
 ]
}

 The dataset includes 4030 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0145367-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vc6cxv
title: Occurrence Download

description: A dataset containing 990 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plectrophenax nivalis (Linnaeus, 1758)",
 "Year 2011-2018"
 ]
}

 The dataset includes 990 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0238759-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c5669g
title: Occurrence Download

description: A dataset containing 821302 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cirsium palustre (L.) Scop., Equisetum palustre L.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 821302 records from 814 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0145365-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5spwgp
title: Occurrence Download

description: A dataset containing 213 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Rana amurensis Boulenger, 1886, Ursus thibetanus G)"
 ]
}

 The dataset includes 213 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033456-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5szgea
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Hylomyscus thornesmithae Kerbis Peterhans, Hutterer & Demos, 2020",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033457-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f6qd4h
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hildebrandtia ornata (Peters, 1878)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((32.064 -28.9416,32.4847 -28.5786,30.5701 -28.5786,30.5701 -30.7329,30.6252 -30.6659,31.4179 -29.4257,31.8178 -29.0299,32.064 -28.9416))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033458-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15632215
title: Checkerboard Dataset: hyperspectral unmixing dataset with ground truth

description: Description

This dataset contains seven hyperspectral images of a printed checkerboard pattern, specifically designed for research into mixed pixels and spectral unmixing in the presence of spectral variability. Each hyperspectral image was acquired using an Imec Snapscan VNIR camera under varying illumination conditions (different incident light angles and intensities). This controlled variability in lighting was introduced to generate spectral diversity within the scenes, mimicking real-world complexities.

The checkerboard pattern itself is composed of four distinct colors: black, yellow, red, and blue. It is designed to include all possible mixtures of these four colors at 25% intervals, allowing for the generation of mixed pixels with known abundance values.

The primary purpose of this dataset is to provide a controlled environment for studying mixed pixels that exhibit spectral variability. The varying illumination conditions applied during image acquisition lead to changes in the spectral signatures of the pure endmembers across the scenes, which is crucial for developing and testing robust unmixing algorithms. The known abundance values of the mixed pixels (due to the checkerboard design) provide ground truth for quantitative analysis.

Structure

The dataset is organized into the following components:



images/: This folder contains:



.mat files, each representing a hyperspectral image of the checkerboard (dimensions: 400x400 pixels, 150 spectral bands)

Matlab scripts designed to extract mixed and pure pixels from these images. Each image yields 42 distinct mixed and pure pixel samples.



whitepanels/: This folder contains:



.mat files corresponding to scans of a diffuse white panel. These scans can be used to empirically determine the intensity of a given scene and to assess the degree of sensor-induced spectral variability.



load_checkerboard.m: This is a Matlab function that facilitates the extraction of the entire dataset from the raw data. It offers several configurable options. Refer to this function's documentation for more details.

data.mat: This file contains a Matlab struct, which is the result of running the load_checkerboard.m function with all its default options. This provides a pre-processed version of the dataset for quick access and initial exploration.


Citation

If you use this dataset in your research or work, please cite it using the corresponding DOI: doi.org/10.5281/zenodo.15632215
DOI: 10.15468/dl.8dhum2
title: Occurrence Download

description: A dataset containing 1373 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is 6fea41f8-96bd-425f-a8a0-766abe0e8101",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 1373 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033459-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48570/bamf.fdz.bsk2017.on.1.0
title: BSK-Forschungsdatensatz 2017

description: Beim BSK-Forschungsdatensatz handelt es sich um eine 30%-Zufallsstichprobe aus den BSK-Registerdaten des Bundesamts für Migration und Flüchtlinge (BAMF). Die Daten umfassen u. a. Informationen zu den Teilnahmeberechtigten und Teilnahmeverpflichteten, zur Kursanmeldung sowie zu den durchgeführten Berufssprachkursen. Die Basis der Stichprobe stellen Teilnahmeberechtigungen und Teilnahmeverpflichtungen zu Berufssprachkursen dar, die im Jahr 2017 erteilt wurden. Bei der Stichprobenziehung werden nur Teilnahmeberechtigungen und Teilnahmeverpflichtungen von Personen berücksichtigt, die zum Zeitpunkt der Ausstellung der Berechtigung beziehungsweise Verpflichtung mind. 18 Jahre alt waren.
description: Teilnahmeberechtigungen und Teilnahmeverpflichtungen des Jahres 2017. Bei der Stichprobenziehung werden nur Teilnahmeberechtigungen und Teilnahmeverpflichtungen von Personen berücksichtigt, die zum Zeitpunkt der Ausstellung der Berechtigung beziehungsweise Verpflichtung mind. 18 Jahre alt waren.
description: Zufallsstichprobe
DOI: 10.6084/m9.figshare.29279474
title: Gephi datasets for LinkedIn co-hashtag analysis and X/Twitter mention analysis of the Sam Altman Controversy

description: Gephi datasets for LinkedIn co-hashtag analysis and X/Twitter mention analysis of the Sam Altman Controversy. Data collected using Zeeschuimer on 14 December, 2023 for LinkedIn using queries [Sam Altman], [#samaltman], and [@samaltman] resulting in over 1900 LinkedIn posts in total. Data collected using Zeeschuimer from January 1st until January 7th, 2024 for X/Twitter, scaping posts from pre-selected list of accounts and uploading the datsset to 4CAT to use the ‘filter by value’ processor to filter out tweets containing only keywords “Altman” and/or “OpenAI,” which resulted in a dataset of circa 280 tweets in total. The timeframe for collected posted included 14 Novemebr - 14 Decemebr 2023 for LinkedIn, and November 16, 2023 until January 7th, 2024. The choice of November 14, 2023, was to ensure that the collection would account for all posts that were shared on the day that Altman was fired from OpenAI given the scraping and date selection limitations on both platforms. The datasets were then used to create Gephi networks. For LinkedIn, the network was based on co-hashtag occurances across posts. For Twitter, the network was organized around the most engaged with tweets per cluster (according to retweet count).<br>
DOI: 10.6084/m9.figshare.29279474.v1
title: Gephi datasets for LinkedIn co-hashtag analysis and X/Twitter mention analysis of the Sam Altman Controversy

description: Gephi datasets for LinkedIn co-hashtag analysis and X/Twitter mention analysis of the Sam Altman Controversy. Data collected using Zeeschuimer on 14 December, 2023 for LinkedIn using queries [Sam Altman], [#samaltman], and [@samaltman] resulting in over 1900 LinkedIn posts in total. Data collected using Zeeschuimer from January 1st until January 7th, 2024 for X/Twitter, scaping posts from pre-selected list of accounts and uploading the datsset to 4CAT to use the ‘filter by value’ processor to filter out tweets containing only keywords “Altman” and/or “OpenAI,” which resulted in a dataset of circa 280 tweets in total. The timeframe for collected posted included 14 Novemebr - 14 Decemebr 2023 for LinkedIn, and November 16, 2023 until January 7th, 2024. The choice of November 14, 2023, was to ensure that the collection would account for all posts that were shared on the day that Altman was fired from OpenAI given the scraping and date selection limitations on both platforms. The datasets were then used to create Gephi networks. For LinkedIn, the network was based on co-hashtag occurances across posts. For Twitter, the network was organized around the most engaged with tweets per cluster (according to retweet count).<br>
DOI: 10.15468/dl.x6q5vv
title: Occurrence Download

description: A dataset containing 134 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Megophrys minor Stejneger, 1926"
 ]
}

 The dataset includes 134 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033460-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v9uwcr
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "TaxonKey is Culiseta alaskaensis (Ludlow, 1906)"
 ]
}

 The dataset includes 24 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033461-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fgy4wv
title: Occurrence Download

description: A dataset containing 1292 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Adenophora stricta Miq."
 ]
}

 The dataset includes 1292 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033464-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tr5hqw
title: Occurrence Download

description: A dataset containing 262 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Hylomyscus vulcanorum Lönnberg & Gyldenstolpe, 1925",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 262 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033466-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ad47at
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hildebrandtia ornata (Peters, 1878)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.5808 -24.13,35.5909 -24.0715,30.5701 -24.0715,30.5701 -28.5786,32.4847 -28.5786,32.55 -28.5222,33.0346 -26.8668,32.9741 -26.7838,33.0415 -26.059,32.9304 -26.0011,32.7994 -26.1281,32.6834 -26.0015,32.813 -25.8728,32.8513 -25.7166,33.3048 -25.3731,35.1489 -24.6699,35.5808 -24.13))"
 ]
}

 The dataset includes 37 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033463-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5523/bris.3ho1s7lix2qvi2wm24fa7nwamu
title: Modeling Nonlinear Oscillator Networks using Physics-Informed Hybrid Reservoir Computing Data and Code

description: Complete code and selected data for figure reproduction for the paper Modeling Nonlinear Oscillator Networks using Physics-Informed Hybrid Reservoir Computing. Code is also available at https://github.com/AJS50/Hybrid_RC_for_NLONS_paper_code
DOI: 10.15468/dl.zckq72
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Griffithsia rhizophora Grunow ex Weber Bosse, 1923"
 ]
}

 The dataset includes 9 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033468-250525065834625/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.29279783
title: Annotated dataset and code for the analysis of data papers published in the Journal of Open Humanities Data between 2015 and 2024

description: This collection contains the dataset and code for the analysis of data papers published in the Journal of Open Humanities Data between 2015 and 2024.The analysis is described in the following chapter:McGillivray et al. (under review). Open Data Adoption Across the Humanities: Insights from the Journal of Open Humanities Data. <i>AI</i><i> </i><i>and Smart Data for Cultural Heritage.</i><i> </i>Edited by Xiaoguang Wang, Marcia Lei Zeng, Jin Gao, Ke Zhao. Routledge.Wiki_datapapers.csv contains a subset of the dataset comprising only data papers which mention Wikidata and was curated by Andrea Farina.
DOI: 10.6084/m9.figshare.29279783.v1
title: Annotated dataset and code for the analysis of data papers published in the Journal of Open Humanities Data between 2015 and 2024

description: This collection contains the dataset and code for the analysis of data papers published in the Journal of Open Humanities Data between 2015 and 2024.The analysis is described in the following chapter:McGillivray et al. (under review). Open Data Adoption Across the Humanities: Insights from the Journal of Open Humanities Data. <i>AI</i><i> </i><i>and Smart Data for Cultural Heritage.</i><i> </i>Edited by Xiaoguang Wang, Marcia Lei Zeng, Jin Gao, Ke Zhao. Routledge.Wiki_datapapers.csv contains a subset of the dataset comprising only data papers which mention Wikidata and was curated by Andrea Farina.
DOI: 10.15468/dl.z3rpny
title: Occurrence Download

description: A dataset containing 275 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Standardised sampling of odonates (Odonata) in Serra da Estrela (Portugal) - 2013 and 2014",
 "Month is one of (June, July)"
 ]
}

 The dataset includes 275 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033470-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15465540
title: Highly dynamic mechanical transitions in embryonic cell populations during Drosophila gastrulation

description: Imaging data generated for the publication: 'Highly dynamic mechanical transitions in embryonic cell populations during Drosophila gastrulation'. biorXiv DOI: https://www.biorxiv.org/content/10.1101/2024.08.29.610383v1

The images that are uploaded in here correspond to the material used in the manuscript. The filenames indicate the figure panels that correspond to each image.

For the data shown in Figure 2, it was extracted from volumes used in Figure 1. The difference between Figure 1 and Figure 2, is that in Figure 1 we averaged the Brillouin shift over a large region of the tissue (compassing 16 cells for mesoderm, and 6 cells for both neuroectoderm and the ectoderm), whereas in Figure 2 we analysed the Brillouin shift in these volumes in a cell by cell basis, extracting not only the Brillouin shift but also cell shape parameters to correlate the Brillouin shift to the changes in cellular morphology. Thus, Fig. 2a,b uses the volumes labelled as 'Fig1bc' in the filenames, and Fig 2c-f uses the volumes labeled as 'Fig1fg' in the filenames. Please see the Methods section in the publication for more information about the type of data extracted from volumes that correspond to Fig. 1 and Fig. 2 .

The manuscript has been accepted in principle at Nature Communications. An updated link for the article will be included in the zenodo profile as soon as it is published.
DOI: 10.5281/zenodo.15465541
title: Highly dynamic mechanical transitions in embryonic cell populations during Drosophila gastrulation

description: Imaging data generated for the publication: 'Highly dynamic mechanical transitions in embryonic cell populations during Drosophila gastrulation'. biorXiv DOI: https://www.biorxiv.org/content/10.1101/2024.08.29.610383v1

The images that are uploaded in here correspond to the material used in the manuscript. The filenames indicate the figure panels that correspond to each image.

For the data shown in Figure 2, it was extracted from volumes used in Figure 1. The difference between Figure 1 and Figure 2, is that in Figure 1 we averaged the Brillouin shift over a large region of the tissue (compassing 16 cells for mesoderm, and 6 cells for both neuroectoderm and the ectoderm), whereas in Figure 2 we analysed the Brillouin shift in these volumes in a cell by cell basis, extracting not only the Brillouin shift but also cell shape parameters to correlate the Brillouin shift to the changes in cellular morphology. Thus, Fig. 2a,b uses the volumes labelled as 'Fig1bc' in the filenames, and Fig 2c-f uses the volumes labeled as 'Fig1fg' in the filenames. Please see the Methods section in the publication for more information about the type of data extracted from volumes that correspond to Fig. 1 and Fig. 2 .

The manuscript has been accepted in principle at Nature Communications. An updated link for the article will be included in the zenodo profile as soon as it is published.