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

description: A dataset containing 5395 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Crocodylus moreletii (Duméril & Bibron, 1851)"
 ]
}

 The dataset includes 5395 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000447-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8qqjfm
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Natural History Museum (London) Collection Specimens",
 "TaxonKey is Propithecus candidus Grandidier, 1871"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000449-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14942831
title: rikvosters/Chinese-LINV: Chinese Lexical Indicators of News Values (LINV)

description: This dataset contains an an open-source list of Chinese Lexical Indicators of News Values (LINV), developed by J. Guo (Vrije Universiteit Brussel) to enrich non-English linguistic resources and facilitate further computer-assisted discursive news values analyses of Chinese newspaper data. 

The data accompany two papers:

Guo, J., Mast, J., Vosters, R., Yang, W., & Penso, A. (2022). Convergence or divergence? A computer-assisted analysis of how Chinese state-sponsored and market-oriented newspapers discursively construct the newsworthiness of the Kunming terrorist attack. Discourse, Context & Media, 45(100578). https://doi.org/10.1016/j.dcm.2022.100578

Guo, J., Mast, J., & Vosters, R. (2024). When Socialism Meets Terrorism: A Computer-Assisted Discursive News Values Analysis of Chinese Newspapers’ Coverage of Domestic and International Terrorist Attacks. Mass Communication and Society, 27(6), 1495–1528. https://doi.org/10.1080/15205436.2024.2311225

More information on the procedure followed to arrive at these lists if lexical indicators of news values can be found in both publications.
DOI: 10.15468/dl.y3cwj2
title: Occurrence Download

description: A dataset containing 2170 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Bactrocera dorsalis (Hendel, 1912)"
 ]
}

 The dataset includes 2170 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000450-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14942833
title: rikvosters/Chinese-LINV: Chinese Lexical Indicators of News Values (LINV)

description: This dataset contains an an open-source list of Chinese Lexical Indicators of News Values (LINV), developed by J. Guo (Vrije Universiteit Brussel) to enrich non-English linguistic resources and facilitate further computer-assisted discursive news values analyses of Chinese newspaper data. 

The data accompany two papers:

Guo, J., Mast, J., Vosters, R., Yang, W., & Penso, A. (2022). Convergence or divergence? A computer-assisted analysis of how Chinese state-sponsored and market-oriented newspapers discursively construct the newsworthiness of the Kunming terrorist attack. Discourse, Context & Media, 45(100578). https://doi.org/10.1016/j.dcm.2022.100578

Guo, J., Mast, J., & Vosters, R. (2024). When Socialism Meets Terrorism: A Computer-Assisted Discursive News Values Analysis of Chinese Newspapers’ Coverage of Domestic and International Terrorist Attacks. Mass Communication and Society, 27(6), 1495–1528. https://doi.org/10.1080/15205436.2024.2311225

More information on the procedure followed to arrive at these lists if lexical indicators of news values can be found in both publications.
DOI: 10.6084/m9.figshare.28252796
title: Molecular HDD Logic for Encrypted Massive Data Storage

description: Organic memories, with small dimension, fast speed and long retention features, are considered as promising candidates for massive data archiving. In order to satisfy the re-quirements for ultra-low power and high-security information storage, we design a concep-tual molecular hard-disk (HDD) logic scheme that is capable to execute in-situ encryption of massive data in pW/bit power-consumption range. Beneficial from the coupled mechanism of counter-balanced redox reaction and local ion drifting, the basic HDD unit consisting of ~ 200 self-assembled RuXLPH molecules in a monolayer (SAM) configuration undergoes unique conductance modulation with continuous, symmetric and low-power switching char-acteristics. 96-state memory performance, which allows 6-bit data storage and single-unit one-step XOR operation, is realized in the RuXLPH SAM sample. Through single-unit XOR manipulation of the pixel information, in-situ bitwise encryption of the Mogao Grottoes mural images stored in the molecular HDD is demonstrated.
DOI: 10.6084/m9.figshare.28252796.v1
title: Molecular HDD Logic for Encrypted Massive Data Storage

description: Organic memories, with small dimension, fast speed and long retention features, are considered as promising candidates for massive data archiving. In order to satisfy the re-quirements for ultra-low power and high-security information storage, we design a concep-tual molecular hard-disk (HDD) logic scheme that is capable to execute in-situ encryption of massive data in pW/bit power-consumption range. Beneficial from the coupled mechanism of counter-balanced redox reaction and local ion drifting, the basic HDD unit consisting of ~ 200 self-assembled RuXLPH molecules in a monolayer (SAM) configuration undergoes unique conductance modulation with continuous, symmetric and low-power switching char-acteristics. 96-state memory performance, which allows 6-bit data storage and single-unit one-step XOR operation, is realized in the RuXLPH SAM sample. Through single-unit XOR manipulation of the pixel information, in-situ bitwise encryption of the Mogao Grottoes mural images stored in the molecular HDD is demonstrated.
DOI: 10.6084/m9.figshare.26629405
title: Advancing Nonadiabatic Molecular Dynamics Simulations in Solids with E(3) Equivariant Deep Neural Hamiltonians

description: Code and Tutorial. Pretrained models that used in the manuscript. Raw data for the wavefunction plot.
DOI: 10.6084/m9.figshare.26629405.v1
title: Advancing Nonadiabatic Molecular Dynamics Simulations in Solids with E(3) Equivariant Deep Neural Hamiltonians

description: Code and Tutorial. Pretrained models that used in the manuscript. Raw data for the wavefunction plot.
DOI: 10.6084/m9.figshare.25951270
title: Circulating miR-126-3p is a mechanistic biomarker for knee osteoarthritis

description: MicroRNA-sequencing counts from the reanalysis of two datasets comparing circulating microRNAs between individuals with osteoarthritis and controls.
DOI: 10.6084/m9.figshare.24764508
title: Source data of Figure 6

description: This file includes source data of Fig. 6c, 6d, 6e, 6f.
DOI: 10.6084/m9.figshare.24764508.v1
title: Source data of Figure 6

description: This file includes source data of Fig. 6c, 6d, 6e, 6f.
DOI: 10.15468/dl.h4tubj
title: Occurrence Download

description: A dataset containing 77525 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Fagus grandifolia Ehrh."
 ]
}

 The dataset includes 77525 records from 325 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000411-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n2ygdb
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Lithocarpus pachycarpus (Hickel & A.Camus) A.Camus"
 ]
}

 The dataset includes 24 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000448-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.33tgqf
title: Occurrence Download

description: A dataset listing the 16269 species recorded in GBIF matching the query:
{
 "and" : [
 "DwcaExtension is http://rs.tdwg.org/ac/terms/Multimedia",
 "GadmGid is BEL",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 16269 records were derived from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000441-250227182400228/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.27153891
title: Bulk rock major element compositions of the Tyrrhenian Sea mantle peridotites

description: Bulk rock major elements compositions of selected peridotites from IODP Sites U1614 and U1616 collected during IODP Expedition 402 in the Tyrrhenian Sea embryonic ocean.
DOI: 10.6084/m9.figshare.27153891.v1
title: Bulk rock major element compositions of the Tyrrhenian Sea mantle peridotites

description: Bulk rock major elements compositions of selected peridotites from IODP Sites U1614 and U1616 collected during IODP Expedition 402 in the Tyrrhenian Sea embryonic ocean.
DOI: 10.6084/m9.figshare.27938037
title: A curated soil fungal dataset to advance fungal ecology and conservation research in Australia and Antarctica

description: DNA metabarcoding has advanced our understanding of soil fungal diversity and function. Through the Australian Microbiome Initiative, an extensive soil fungal metabarcoding dataset has been compiled from over 2000 plots across Australian and Antarctic ecosystems. However, integrating sequence data into biodiversity platforms requires rigorous approaches to address biases, including false positives and over-inflated diversity estimates. We analysed this fungal dataset following metabarcoding best practices and integrated it with over 100 predictor variables to facilitate data exploration. We validated our methodology through analyses of historical dataset versions. The resulting robust dataset on Australian soil fungi serves researchers studying biodiversity, biogeography, and conservation. This resource opens new opportunities for soil fungal research across the Southern Hemisphere and globally.

All primary data products produced from our study are available in eight files:

 (1) Sample metadata file
 (2) Sample metadata descriptor
 (3) Sample-by-OTU matrix with absolute sequence abundances
 (4) Sample-by-OTU matrix normalised to a minimum sequencing depth of 5000 reads
 (5) Quality-filtered ITS1 reference sequences in FASTA format
 (6) A taxonomy file without pseudotaxon names (pseudotaxa have been renamed 'unidentified')
 (7) A taxonomy file with pseudotaxon names (pseudotaxa are taxon approximations for unidentified ranks based on similarity score cutoffs computed by DNABarcoder)
 (8) An interactive KRONA chart showing the taxonomic distribution of the contemporary Australian Microbiome dataset 

The sample metadata contains information on:

 * Sample accession numbers and persistent links to source files
 * Sample location
 * Date of collection
 * A range of measured soil physicochemical characteristics
 * Georeferenced environmental variables
 * Alpha-diversity statistics
 * Estimated level of mould contamination

The taxonomy file contains information on:

 * Representative taxon for each OTU
 * Associated trait information
 * Taxonomic assignment statistics

The original data we sourced were openly available for reuse and redistribution under a Creative Commons Attribution License. See the Australian Microbiome data sharing policy (https://www.australianmicrobiome.com/protocols/data-policy/) and references within Table 1 for the georeferenced grid data.
DOI: 10.13135/ela-333
title: Law on the Eleusinian Aparche
DOI: 10.5281/zenodo.10814412
title: Thermal Urban Feature Segmentation - Multispectral (RGB + Thermal) UAS-based images from Germany with annotations

description: The Thermal Urban Feature Segmentation (TUFSeg) dataset consists of annotated and combined RGB and thermal images, acquired by uncrewed aircraft system (UAS). They show various nighttime scenes from two German cities: Munich and Karlsruhe. Owing to the high overlap of 88%, only select images were annotated to prevent duplicate instances. See the "Usage" section below for details about the stored formats made available here.

The raw images were recorded with a 4k normal (RGB) and a FLIR-XT2 (thermal) camera using both DJI M600 Pro and M300 RTK uncrewed aircraft (UA). The RGBs have a resolution of 4000 x 3000 pixels, the thermals 640 x 512. All images were registered to a uniform format (3000 x 3750 pixels) to match thermal image aspect ratio and prevent RGB data loss. The Munich images were recorded during 8 p.m. to 6 a.m. in December 2019 with temperatures ranging from -5 °C to 2 °C, the Karlsruhe ones between 12 a.m. and 3 a.m. in January and March 2022 with temperatures between 0 °C and 3 °C. 

The dataset consists of 793 labelled images - 700 from Munich, 93 from Karlsruhe - from 14 UAS flights. A total of 8,010 common urban feature classes are annotated: buildings - 1,404, cars (cold) - 2,532, cars (warm) - 1,036, manholes (cold) - 520, manholes (warm) - 1,379, miscellaneous - 81, people - 275,  street lamps (cold) - 100, and street lamps (warm) - 683. The data is split into train and test subsets at random with 634 and 159 images, respectively, to match an 80-20 division. All classes and both cities are represented in both sets. All classes and both cities are represented in both splits.

For the annotation of the thermal images, the image processing program VGG Image Annotator from the Visual Geometry Group was used. The urban features were outlined with polygons, placed as closely as possible to but still outside the object in question.

Usage:

Each compressed zip file of the format "XY_##" represents one of the 14 UAS flights. These contain Numpy files (one per image) of the shape (3000, 3750, 4) where the dimensions are [R, G, B, Thermal]. These will be decompressed into the file structure:

images/
└── KA_01/
    └── DJI_0_0013_R.npy
    └── DJI_0_0031_R.npy
    └── ...

The original polygon annotations performed on the 640 x 512 thermal images can be found in the "json_annotations.zip" for reference. The semantic segmentation model itself requires segmentation masks, which can be found in the zip files of the format "XY_##_masks" for each of the UAV flights. These will be decompressed into the file structure:

masks/
└── KA_01/
    └── DJI_0_0013_R.npy
    └── DJI_0_0031_R.npy
    └── ...

For the related publication, the train and test were used according the "train.txt" and "test.txt" files, generated through a random split to 80-20. The files contain paths in the form "XY_##/DJI_#_####_R.npy" to point towards the images used for the specific set.
DOI: 10.5281/zenodo.10814413
title: Thermal Urban Feature Segmentation - Multispectral (RGB + Thermal) UAS-based images from Germany with annotations

description: The Thermal Urban Feature Segmentation (TUFSeg) dataset consists of annotated and combined RGB and thermal images, acquired by uncrewed aircraft system (UAS). They show various nighttime scenes from two German cities: Munich and Karlsruhe. Owing to the high overlap of 88%, only select images were annotated to prevent duplicate instances. See the "Usage" section below for details about the stored formats made available here.

The raw images were recorded with a 4k normal (RGB) and a FLIR-XT2 (thermal) camera using both DJI M600 Pro and M300 RTK uncrewed aircraft (UA). The RGBs have a resolution of 4000 x 3000 pixels, the thermals 640 x 512. All images were registered to a uniform format (3000 x 3750 pixels) to match thermal image aspect ratio and prevent RGB data loss. The Munich images were recorded during 8 p.m. to 6 a.m. in December 2019 with temperatures ranging from -5 °C to 2 °C, the Karlsruhe ones between 12 a.m. and 3 a.m. in January and March 2022 with temperatures between 0 °C and 3 °C. 

The dataset consists of 793 labelled images - 700 from Munich, 93 from Karlsruhe - from 14 UAS flights. A total of 8,010 common urban feature classes are annotated: buildings - 1,404, cars (cold) - 2,532, cars (warm) - 1,036, manholes (cold) - 520, manholes (warm) - 1,379, miscellaneous - 81, people - 275,  street lamps (cold) - 100, and street lamps (warm) - 683. The data is split into train and test subsets at random with 634 and 159 images, respectively, to match an 80-20 division. All classes and both cities are represented in both sets. All classes and both cities are represented in both splits.

For the annotation of the thermal images, the image processing program VGG Image Annotator from the Visual Geometry Group was used. The urban features were outlined with polygons, placed as closely as possible to but still outside the object in question.

Usage:

Each compressed zip file of the format "XY_##" represents one of the 14 UAS flights. These contain Numpy files (one per image) of the shape (3000, 3750, 4) where the dimensions are [R, G, B, Thermal]. These will be decompressed into the file structure:

images/
└── KA_01/
    └── DJI_0_0013_R.npy
    └── DJI_0_0031_R.npy
    └── ...

The original polygon annotations performed on the 640 x 512 thermal images can be found in the "json_annotations.zip" for reference. The semantic segmentation model itself requires segmentation masks, which can be found in the zip files of the format "XY_##_masks" for each of the UAV flights. These will be decompressed into the file structure:

masks/
└── KA_01/
    └── DJI_0_0013_R.npy
    └── DJI_0_0031_R.npy
    └── ...

For the related publication, the train and test were used according the "train.txt" and "test.txt" files, generated through a random split to 80-20. The files contain paths in the form "XY_##/DJI_#_####_R.npy" to point towards the images used for the specific set.
DOI: 10.34847/cocoon.5d979fd4-0be6-45f5-979f-d40be6e5f5fa
title: EGG record of a Xumi speaker Duoding (01)

description: Equipment: an AKG C520 headset microphone connected to a multichannel recording device (Digidesign 003 Rack+ Factory Pro Mixer 12U) and linked up to a Mac computer; Glottal Enterprises two-channel electroglottograph (model EGG2); Piezoelectric Accelerometer from K&K
DOI: 10.34847/cocoon.9eaef7e8-0186-47c7-aef7-e8018637c74f
title: EGG record of a Burmese speaker San San Hnin Tun (10)

description: Equipment: Workstation EVA2 , notebook computer
DOI: 10.34847/cocoon.7398283f-bd26-4a62-9828-3fbd268a62eb
title: EGG record of a Burmese speaker Thae Thinzar Oo (06)

description: Equipment: Workstation EVA2 , notebook computer
DOI: 10.34847/cocoon.7f372216-cf78-49a4-b722-16cf78e9a430
title: EGG record of a Xumi speaker Duoding (02)

description: Equipment: Workstation EVA2 , notebook computer
DOI: 10.34847/cocoon.b59cbc11-6af5-4dd9-9cbc-116af5fdd945
title: EGG record of a Burmese speaker Thae Thinzar Oo (09)

description: Equipment: Workstation EVA2 , notebook computer
DOI: 10.34847/cocoon.1f9902c5-117a-4314-9902-c5117a7314ad
title: EGG record of a Burmese speaker San San Hnin Tun (08)

description: Equipment: Workstation EVA2 , notebook computer
DOI: 10.34847/cocoon.322cb461-4542-4cc9-acb4-6145428cc999
title: EGG record of a Burmese speaker San San Hnin Tun (03)

description: Equipment: Workstation EVA2 , notebook computer
DOI: 10.34847/cocoon.586e67d9-7959-4c12-ae67-d979596c1247
title: EGG record of a Burmese speaker Hla Myat

description: Equipment : an AKG C520 headset microphone connected to a multichannel recording device (Digidesign 003 Rack+ Factory Pro Mixer 12U) and linked up to a Mac computer; Glottal Enterprises two-channel electroglottograph (model EGG2); Piezoelectric Accelerometer from K&K Sound
DOI: 10.34847/cocoon.a6afca9b-96fb-45d3-afca-9b96fbc5d316
title: EGG record of a Burmese speaker Thae Thinzar Oo (01)

description: Equipment : an AKG C520 headset microphone connected to a multichannel recording device (Digidesign 003 Rack+ Factory Pro Mixer 12U) and linked up to a Mac computer; Glottal Enterprises two-channel electroglottograph (model EGG2); Piezoelectric Accelerometer from K&K Sound
DOI: 10.34847/cocoon.5a6dac5e-db73-4a5f-adac-5edb736a5f30
title: EGG record of a Burmese speaker San San Hnin Tun (01)

description: Equipment: Workstation EVA2 , notebook computer
DOI: 10.34847/cocoon.c22a2d48-7174-4947-aa2d-48717499474b
title: EGG record of a Xumi speaker Duoding (01)

description: Equipment: Workstation EVA2 , notebook computer
DOI: 10.34847/cocoon.95643689-e68e-4343-a436-89e68e934393
title: EGG record of a Burmese speaker Thae Thinzar Oo (03)

description: Equipment: Workstation EVA2 , notebook computer
DOI: 10.34847/cocoon.9e5b5c76-4881-4ee9-9b5c-7648815ee95a
title: EGG record of a Burmese speaker San San Hnin Tun (09)

description: Equipment: Workstation EVA2 , notebook computer
DOI: 10.34847/cocoon.a2bdd245-da51-4bb7-bdd2-45da51ebb718
title: EGG record of a Burmese speaker San San Hnin Tun (06)

description: Equipment: Workstation EVA2 , notebook computer
DOI: 10.34847/cocoon.405db003-b681-4fe1-9db0-03b6814fe127
title: EGG record of a Burmese speaker San San Hnin Tun (05)

description: Equipment: Workstation EVA2 , notebook computer
DOI: 10.34847/cocoon.627779ee-5ed0-449f-b779-ee5ed0449fcd
title: EGG record of a Xumi speaker Duoding (03)

description: Equipment: Workstation EVA2 , notebook computer
DOI: 10.34847/cocoon.83ce1a5c-c5a8-41e0-8e1a-5cc5a8e1e028
title: EGG record of a Xumi speaker Duoding (03)

description: Equipment: an AKG C520 headset microphone connected to a multichannel recording device (Digidesign 003 Rack+ Factory Pro Mixer 12U) and linked up to a Mac computer; Glottal Enterprises two-channel electroglottograph (model EGG2); Piezoelectric Accelerometer from K&K
DOI: 10.34847/cocoon.579d41df-c6fc-4e25-9d41-dfc6fcfe2574
title: EGG record of a Xumi speaker Duoding (02)

description: Equipment: an AKG C520 headset microphone connected to a multichannel recording device (Digidesign 003 Rack+ Factory Pro Mixer 12U) and linked up to a Mac computer; Glottal Enterprises two-channel electroglottograph (model EGG2); Piezoelectric Accelerometer from K&K
DOI: 10.34847/cocoon.6cd0092b-b4eb-4356-9009-2bb4ebd35666
title: EGG record of a Burmese speaker San San Hnin Tun

description: Equipment : an AKG C520 headset microphone connected to a multichannel recording device (Digidesign 003 Rack+ Factory Pro Mixer 12U) and linked up to a Mac computer; Glottal Enterprises two-channel electroglottograph (model EGG2); Piezoelectric Accelerometer from K&K Sound
DOI: 10.34847/cocoon.a7177e0f-7e37-4161-977e-0f7e376161ee
title: EGG record of a Burmese speaker Thae Thinzar Oo (04)

description: Equipment: Workstation EVA2 , notebook computer
DOI: 10.34847/cocoon.309b0245-1392-48fb-9b02-45139288fb17
title: EGG record of a Burmese speaker San San Hnin Tun (12)

description: Equipment: Workstation EVA2 , notebook computer
DOI: 10.34847/cocoon.b74dfa19-1c19-4404-8dfa-191c19b404cc
title: EGG record of a Burmese speaker San San Hnin Tun (04)

description: Equipment: Workstation EVA2 , notebook computer
DOI: 10.34847/cocoon.ea7de367-f235-4571-bde3-67f235957105
title: EGG record of a Burmese speaker San San Hnin Tun (07)

description: Equipment: Workstation EVA2 , notebook computer
DOI: 10.34847/cocoon.6b15e9a3-e498-462b-95e9-a3e498162bcc
title: EGG record of a Burmese speaker San San Hnin Tun (11)

description: Equipment: Workstation EVA2 , notebook computer
DOI: 10.34847/cocoon.8df1a232-5b25-4dc0-b1a2-325b25cdc0b0
title: EGG record of a Burmese speaker Thae Thinzar Oo (02)

description: Equipment: Workstation EVA2 , notebook computer
DOI: 10.34847/cocoon.2501a0e1-142f-4294-81a0-e1142f1294e9
title: EGG record of a Xumi speaker Duoding (04)

description: Equipment: Workstation EVA2 , notebook computer