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

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Orthogeomys lanius (Elliot, 1905)"
 ]
}

 The dataset includes 13 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010010-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f6w3xr
title: Occurrence Download

description: A dataset containing 461 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptaleum filifolium (Willd.) DC."
 ]
}

 The dataset includes 461 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037968-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8hp25m
title: Occurrence Download

description: A dataset containing 115928 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Callocephalon fimbriatum (J.Grant, 1803)"
 ]
}

 The dataset includes 115928 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066802-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9dzro7
title: Occurrence Download

description: A dataset containing 741 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyclopes didactylus (Linnaeus, 1758)"
 ]
}

 The dataset includes 741 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010006-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a7b38z
title: Occurrence Download

description: A dataset containing 103 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 {
 "or" : [
 "InstitutionCode is ibunam",
 "InstitutionCode is ecosur",
 "InstitutionCode is ciidir-ipn",
 "InstitutionCode is ihne",
 "InstitutionCode is encb-ipn",
 "InstitutionCode is fc-unam",
 "InstitutionCode is ie-unam",
 "InstitutionCode is fb-umsnh"
 ]
 },
 "TaxonKey is Conepatus leuconotus (Lichtenstein, 1832)",
 "Year 1991-2021"
 ]
}

 The dataset includes 103 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0279493-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.0ev5jc
title: Occurrence Download

description: A dataset containing 123 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dipodomys phillipsii perotensis Merriam, 1894"
 ]
}

 The dataset includes 123 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010012-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xs5wp3
title: Occurrence Download

description: A dataset containing 1859 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Système d'Information sur la Nature et les Paysages d'Ile de France - Données de la structure Natureparif/ARB Île-de-France provenant de la base de donnée du SINP Île-de-France CETTIA"
 ]
}

 The dataset includes 1859 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012573-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2sdvdz
title: Occurrence Download

description: A dataset containing 619 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Microtus californicus halophilus von Bloeker, 1937",
 "Year 1000-2021"
 ]
}

 The dataset includes 619 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0273574-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.htactu
title: Occurrence Download

description: A dataset listing the 63733 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Bolivia (Plurinational State of)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 63733 records were derived from 1232 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0252131-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/2316698
title: Top Games on Google Play Store
DOI: 10.5281/zenodo.4916062
title: Optical coherence tomography angiography findings in patients undergoing transcorneal electrical stimulation for treating retinitis pigmentosa

description: Data underlying the figures in the publication “Optical coherence tomography angiography findings in patients undergoing transcorneal electrical stimulation for treating retinitis pigmentosa”, published in <em>Graefes Arch Clin Exp Ophthalmol, <strong>2021</strong>,</em> 259, 1167–1177. https://doi.org/10.1007/s00417-020-04963-7 Table of contents: 1. Table 1; Word file containing the Supplementary Tables S1A, S1B, S1C and S1D with the results of the vessel density (VD). 2. Table 2; Word file containing the Supplementary Tables S2A, S2B, S2C and S2D with the results of the perfusion density (PD). 3. Table 3; Word file containing the Supplementary Tables S3A, S3B and S3C with the results of vessel density, perfusion density and capillary flux index, respectively.
DOI: 10.5281/zenodo.4916061
title: Optical coherence tomography angiography findings in patients undergoing transcorneal electrical stimulation for treating retinitis pigmentosa

description: Data underlying the figures in the publication “Optical coherence tomography angiography findings in patients undergoing transcorneal electrical stimulation for treating retinitis pigmentosa”, published in <em>Graefes Arch Clin Exp Ophthalmol, <strong>2021</strong>,</em> 259, 1167–1177. https://doi.org/10.1007/s00417-020-04963-7 Table of contents: 1. Table 1; Word file containing the Supplementary Tables S1A, S1B, S1C and S1D with the results of the vessel density (VD). 2. Table 2; Word file containing the Supplementary Tables S2A, S2B, S2C and S2D with the results of the perfusion density (PD). 3. Table 3; Word file containing the Supplementary Tables S3A, S3B and S3C with the results of vessel density, perfusion density and capillary flux index, respectively.
DOI: 10.6084/m9.figshare.14054090
title: Code, data & README for PAG et al: "Collective defence and behavioural homogeneity during simulated territorial intrusions in banded mongooses (Mungos mungo)."

description: All data, R codes, and a README file associated with the manuscript: "Testing the conflict-cohesion hypothesis: metrics of social cohesion during simulated territorial intrusions in banded mongooses (Mungos mungo)."
DOI: 10.6084/m9.figshare.14054090.v1
title: Code, data & README for PAG et al: "Collective defence and behavioural homogeneity during simulated territorial intrusions in banded mongooses (Mungos mungo)."

description: All data, R codes, and a README file associated with the manuscript: "Testing the conflict-cohesion hypothesis: metrics of social cohesion during simulated territorial intrusions in banded mongooses (Mungos mungo)."
DOI: 10.5281/zenodo.4916056
title: Numberbatch 19.08 Word Embeddings (filtered, dim50, compressed, as single files)

description: Numberbatch word embeddings obtained from https://github.com/commonsense/conceptnet-numberbatch<br> split into single language files, filtered, and reduced to 50 components per vector using PCA. By splitting the original 20.8 GB numberbatch file in into separately downloadable, compressed files -<br> and thus reducing the download and in-memory-size requirements of these embeddings by several magnitudes -<br> it becomes feasible to work with them in highly memory-constrained environments such as Binder.<br> This is useful for teaching purposes and a prerequisite for upcoming interactive publications<br> we are working on. PREPROCESSING Words `w` with `w.isalpha() == False` (in Python) have been excluded, since these are<br> seldomly useful. This filtering step reduces the file sizes by roughly 30%. The dimension of the embeddings has been reduced to 50 by applying a standard PCA without whitening. ZIP files have been compressed in Python using zipfile.ZIP_LZMA. To load the uncompressed files<br> into gensim, use `gensim.models.KeyedVectors.load_word2vec_format(path, binary=True)`. LICENSE This data contains semantic vectors from ConceptNet Numberbatch, by<br> Luminoso Technologies, Inc. You may redistribute or modify the<br> data under the terms of the CC-By-SA 4.0 license.<br>
DOI: 10.5281/zenodo.4916055
title: Numberbatch 19.08 Word Embeddings (filtered, dim50, compressed, as single files)

description: Numberbatch word embeddings obtained from https://github.com/commonsense/conceptnet-numberbatch<br> split into single language files, filtered, and reduced to 50 components per vector using PCA. By splitting the original 20.8 GB numberbatch file in into separately downloadable, compressed files -<br> and thus reducing the download and in-memory-size requirements of these embeddings by several magnitudes -<br> it becomes feasible to work with them in highly memory-constrained environments such as Binder.<br> This is useful for teaching purposes and a prerequisite for upcoming interactive publications<br> we are working on. PREPROCESSING Words `w` with `w.isalpha() == False` (in Python) have been excluded, since these are<br> seldomly useful. This filtering step reduces the file sizes by roughly 30%. The dimension of the embeddings has been reduced to 50 by applying a standard PCA without whitening. ZIP files have been compressed in Python using zipfile.ZIP_LZMA. To load the uncompressed files<br> into gensim, use `gensim.models.KeyedVectors.load_word2vec_format(path, binary=True)`. LICENSE This data contains semantic vectors from ConceptNet Numberbatch, by<br> Luminoso Technologies, Inc. You may redistribute or modify the<br> data under the terms of the CC-By-SA 4.0 license.<br>
DOI: 10.6084/m9.figshare.14753574.v1
title: Corpus of users' interviews for PASSVers and the interview guide

description: The 21 semi-structured interviews of users, conducted to evaluate the PASSVers support program, with the interview guide.
DOI: 10.6084/m9.figshare.14753574.v2
title: Corpus of users' interviews for PASSVers and the interview guide

description: The data set includes the 21 semi-structured interviews of users, conducted to evaluate the PASSVers support program, with the interview guide. The Alceste software report and the coding guide are also added here. All data are in french.
DOI: 10.3886/e142341
title: Economically Relevant Human Capital or Multi-Purpose Consumption Good? Book Ownership in Pre-Modern Württemberg

description: <br> We investigate books as an indicator of human capital using extraordinary, individual-level data on book ownership and signature literacy for a population of German women and men between 1610 and 1900. Although book ownership was very high from an early date, it was associated with signature literacy, gender, urbanization, and wealth in ways inconsistent with its having registered economically relevant human capital. The books people owned were overwhelmingly religious, as elsewhere in pre-modern Europe. People consumed books for multifarious purposes, many of them non-economic. In this pre-modern economy, books were not a good indicator of economically relevant human capital for the population at large, which creates doubt about their use for this purpose more generally. <br>
DOI: 10.6084/m9.figshare.14742924
title: https://figshare.com/articles/figure/database_zip/14742924

description: Data related to the manuscript: "Optimized 3D printing of THz waveguides with cyclic olefin copolymer"<br>
DOI: 10.3886/e142341v1
title: Economically Relevant Human Capital or Multi-Purpose Consumption Good? Book Ownership in Pre-Modern Württemberg

description: <br> We investigate books as an indicator of human capital using extraordinary, individual-level data on book ownership and signature literacy for a population of German women and men between 1610 and 1900. Although book ownership was very high from an early date, it was associated with signature literacy, gender, urbanization, and wealth in ways inconsistent with its having registered economically relevant human capital. The books people owned were overwhelmingly religious, as elsewhere in pre-modern Europe. People consumed books for multifarious purposes, many of them non-economic. In this pre-modern economy, books were not a good indicator of economically relevant human capital for the population at large, which creates doubt about their use for this purpose more generally. <br>
DOI: 10.5281/zenodo.4772280
title: Helsinki Deblur Challenge 2021 open photographic dataset

description: This dataset was primarily designed and captured to be used for the Helsinki Deblur Challenge 2021 but it can be used for any testing and benchmarking purposes of image deblurring algorithms. The dataset contains photographs of random strings of text with varying levels of blur caused by misfocusing the camera. Each photo has both a blurred and sharp version. Why strings of text as targets? This is to enable quantitative measurement of deconvolution quality using an Optical Characted Recognition (OCR) algorithm in the Helsinki Deblur Challenge 2021. The images are split into 10 separate zip files according to the level of blur. Each one of the zip files contains two folders, one for each of the different fonts used (Verdana and Times). In both font folders you find one folder named CAM1 (Camera 1) with the sharp images and one named CAM2 (Camera 2) with the blurred images. Each one of the CAM folders holds 100 images of the text targets and 3 images of technical targets for estimating the point spread function (PSF). Each one of the text target images is accompanied by a text file (same file name but .txt extension) containing the correct transcription of that particular text target. An example image with one sharp-blurred pair of each one of the focus steps is also provided here for preview. A more detailed description of the dataset can be found here: http://arxiv.org/abs/2105.10233 Here is a link to the official webpage of the Helsinki Deblur Challenge 2021: https://www.fips.fi/HDC2021.php
DOI: 10.5281/zenodo.4916089
title: Raw data of experiments on the effect of the addition of 4-oxo isophorone to bisexual lure for the silver Y moth Autographa gamma L. (Lepidoptera: Noctuidae)

description: Raw data of experiments on the effect of the addition of 4-oxo isophorone to bisexual lure for the silver Y moth Autographa gamma L. (Lepidoptera: Noctuidae) in .xls format. In the data set there are data of Autographa gamma catches (individual/trap) of 4 experiment carried out in Hungary: <strong>Experiment 1</strong>. Treatments included: 4OXO on its own and unbaited controls. Sites: Nyíri, Borsod-Abaúj-Zemplén county, June 2 - September 15, 2012, and Debrecen, Hajdú-Bihar county, June 4 - September 7, 2012. <strong>Experiment 2</strong>. Treatments included (formulated in PE bag dispensers): PHENAL on its own, binary mixtures of PHENAL with 4OXO and unbaited controls. Sites: Balmazújváros, Hajdú-Bihar county, June 8 - October 6, 2013, and Ófehértó, Szabolcs-Szatmár-Bereg county, May 31 – September 27, 2013. <strong>Experiment 3</strong>. Treatments included 4OXO on its own, the ternary blend (PHENAL + BENZAC + EUG), the quaternary blend of all four compounds and unbaited traps. Sites: Karcag, Jász-Nagykun-Szolnok county, June 1 - November 2, 2017, and Jánkmajtis, Szabolcs-Szatmár-Bereg county, May 28 - October 29, 2017. <strong>Experiment 4</strong>. Treatments included PHENAL + BENZAC + EUG + 4OXO and synthetic A. gamma pheromone. Sites: Érd-Elviramajor (Pest county), May 31 - November 10 2017.
DOI: 10.5281/zenodo.4916088
title: Raw data of experiments on the effect of the addition of 4-oxo isophorone to bisexual lure for the silver Y moth Autographa gamma L. (Lepidoptera: Noctuidae)

description: Raw data of experiments on the effect of the addition of 4-oxo isophorone to bisexual lure for the silver Y moth Autographa gamma L. (Lepidoptera: Noctuidae) in .xls format. In the data set there are data of Autographa gamma catches (individual/trap) of 4 experiment carried out in Hungary: <strong>Experiment 1</strong>. Treatments included: 4OXO on its own and unbaited controls. Sites: Nyíri, Borsod-Abaúj-Zemplén county, June 2 - September 15, 2012, and Debrecen, Hajdú-Bihar county, June 4 - September 7, 2012. <strong>Experiment 2</strong>. Treatments included (formulated in PE bag dispensers): PHENAL on its own, binary mixtures of PHENAL with 4OXO and unbaited controls. Sites: Balmazújváros, Hajdú-Bihar county, June 8 - October 6, 2013, and Ófehértó, Szabolcs-Szatmár-Bereg county, May 31 – September 27, 2013. <strong>Experiment 3</strong>. Treatments included 4OXO on its own, the ternary blend (PHENAL + BENZAC + EUG), the quaternary blend of all four compounds and unbaited traps. Sites: Karcag, Jász-Nagykun-Szolnok county, June 1 - November 2, 2017, and Jánkmajtis, Szabolcs-Szatmár-Bereg county, May 28 - October 29, 2017. <strong>Experiment 4</strong>. Treatments included PHENAL + BENZAC + EUG + 4OXO and synthetic A. gamma pheromone. Sites: Érd-Elviramajor (Pest county), May 31 - November 10 2017.
DOI: 10.5281/zenodo.4543786
title: AMIVU Acoustic Map Imaging VUB-ULB Dataset

description: This dataset contains a collection of both real captured and simulated acoustic images of the UMAP acoustic camera.<br> Real captured images contain a single sound source for different positions and frequencies.<br> The images are generated by first capturing the microphone signals and later process them for different resolutions. The simulated acoustic images are generated by simulating two sound sources at mirrored angles for different frequencies between 2kHz and 10kHz, with steps of 500Hz.<br> These frequencies are independent of each other.<br> The sound sources start at a position of 60° and move in steps of 2° towards the center.<br> The distance between the sound sources and the center of the array is always 1m.<br> This gives a total of 16 positions for the sound sources and 289 images per position.<br> Each image is generated for 4 different resolutions (640 × 480, 320 × 240, 160 × 120, 80 × 60). For each one dataset was generated using fractional delays and another without fractional delays with a total of 36992 images. Images are standardized using instance min-max normalization and logged with uint8 data type, then converted to grayscale in the range [0 - 255] and saved as PNG format with zero compression. File naming for the simulated images:<br> Pos_&lt;angle_of_the_sound_sources&gt;_R_&lt;frequency_soundsource_1&gt;_L_&lt;frequency_soundsource_2&gt; For more Information and citation please refer to the paper below. <pre><code> @Article{s21103453, AUTHOR = {Almasri, Feras and Vandendriessche, Jurgen and Segers, Laurent and da Silva, Bruno and Braeken, An and Steenhaut, Kris and Touhafi, Abdellah and Debeir, Olivier}, TITLE = {XCycles Backprojection Acoustic Super-Resolution}, JOURNAL = {Sensors}, VOLUME = {21}, YEAR = {2021}, NUMBER = {10}, ARTICLE-NUMBER = {3453}, URL = {https://www.mdpi.com/1424-8220/21/10/3453}, ISSN = {1424-8220}, DOI = {10.3390/s21103453} }</code></pre>
DOI: 10.5281/zenodo.4543785
title: AMIVU Acoustic Map Imaging VUB-ULB Dataset

description: This dataset contains a collection of both real captured and simulated acoustic images of the UMAP acoustic camera.<br> Real captured images contain a single sound source for different positions and frequencies.<br> The images are generated by first capturing the microphone signals and later process them for different resolutions. The simulated acoustic images are generated by simulating two sound sources at mirrored angles for different frequencies between 2kHz and 10kHz, with steps of 500Hz.<br> These frequencies are independent of each other.<br> The sound sources start at a position of 60° and move in steps of 2° towards the center.<br> The distance between the sound sources and the center of the array is always 1m.<br> This gives a total of 16 positions for the sound sources and 289 images per position.<br> Each image is generated for 4 different resolutions (640 × 480, 320 × 240, 160 × 120, 80 × 60). For each one dataset was generated using fractional delays and another without fractional delays with a total of 36992 images. Images are standardized using instance min-max normalization and logged with uint8 data type, then converted to grayscale in the range [0 - 255] and saved as PNG format with zero compression. File naming for the simulated images:<br> Pos_&lt;angle_of_the_sound_sources&gt;_R_&lt;frequency_soundsource_1&gt;_L_&lt;frequency_soundsource_2&gt; For more Information and citation please refer to the paper below. <pre><code> @Article{s21103453, AUTHOR = {Almasri, Feras and Vandendriessche, Jurgen and Segers, Laurent and da Silva, Bruno and Braeken, An and Steenhaut, Kris and Touhafi, Abdellah and Debeir, Olivier}, TITLE = {XCycles Backprojection Acoustic Super-Resolution}, JOURNAL = {Sensors}, VOLUME = {21}, YEAR = {2021}, NUMBER = {10}, ARTICLE-NUMBER = {3453}, URL = {https://www.mdpi.com/1424-8220/21/10/3453}, ISSN = {1424-8220}, DOI = {10.3390/s21103453} }</code></pre>
DOI: 10.26180/14753970
title: Network data

description: Network (Generators and Interconnectors) data for NEM
DOI: 10.26180/14753970.v1
title: Network data

description: Network (Generators and Interconnectors) data for NEM
DOI: 10.6084/m9.figshare.12957194
title: Extinction of threatened vertebrates will lead to idiosyncratic changes in functional diversity across the world

description: Data for calculating the functional diversity of terrestrial vertebrates (mammals, birds, reptiles, amphibians and freshwater fishes) for the six biogeographic realms. There is also scripts to simulate the loss of threatened species in the functional diversity