cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ty2w7r
title: Occurrence Download

description: A dataset containing 1231 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Myotis fimbriatus, Myotis formosus, Myotis frater, Myotis hasseltii, Myotis hermani, Myotis horsfieldii, Myotis indochinensis, Myotis laniger, Myotis longipes, Myotis montivagus, Myotis muricola, Myotis nipalensis, Myotis peytoni, Myotis pilosus, Myotis ridleyi, Myotis rosseti, Myotis rufoniger, Myotis sicarius, Myotis siligorensis, Naemorhedus baileyi, Naemorhedus goral, Nectogale elegans, Neodon clarkei, Neodon forresti, Neodon irene, Neodon sikimensis, Neofelis nebulosa, Neohylomys, Neotetracus sinensis, Nesokia indica, Nesolagus timminsi, Nilgiritragus hylocrius, Niviventer andersoni, Niviventer brahma, Niviventer cameroni, Niviventer confucianus, Niviventer cremoriventer, Niviventer eha, Niviventer excelsior, Niviventer fulvescens, Niviventer hinpoon, Niviventer langbianis, Niviventer niviventer, Niviventer tenaster, Nomascus annamensis, Nomascus concolor, Nomascus gabriellae, Nomascus leucogenys, Nomascus nasutus, Nomascus siki)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1950",
 "Year is less than or equal to 1969"
 ]
}

 The dataset includes 1231 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049395-251120083545085/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.30576493
title: The incremental Arnold functional (Lyapunov functional); Disturbance energy; Weighted integral of disturbance circulation; Reynolds stress from Nonlinear stability of quasi-Keplerian Taylor–Couette flow for large axisymmetric disturbances at arbitrary Reynolds numbers: Rigorous mathematical proof with novel physical insights

description: Time record of the Lyapunov functional (the left column is time); Time record of disturbance energy; Time record of weighted integral of disturbance circulation; Time record of Reynolds stress
DOI: 10.6084/m9.figshare.30576493.v2
title: The incremental Arnold functional (Lyapunov functional); Disturbance energy;Weighted integral of disturbance circulation; Reynolds stress from Nonlinear stability of quasi-Keplerian Taylor–Couette flow for large axisymmetric disturbances at arbitrary Reynolds numbers

description: Time record of the Lyapunov functional (the left column is time); Time record of disturbance energy; Time record of weighted integral of disturbance circulation; Time record of Reynolds stress
DOI: 10.6084/m9.figshare.30576493.v3
title: The incremental Arnold functional (Lyapunov functional); Disturbance energy; Weighted integral of disturbance circulation; Reynolds stress from Nonlinear stability of quasi-Keplerian Taylor–Couette flow for large axisymmetric disturbances at arbitrary Reynolds numbers: Rigorous mathematical proof with novel physical insights

description: Time record of the Lyapunov functional (the left column is time); Time record of disturbance energy; Time record of weighted integral of disturbance circulation; Time record of Reynolds stress
DOI: 10.15468/xzpcvv
title: TestWat - Macroinvertebrates and macrophytes of freshwater bodies in Flanders, Belgium

description: Freshwater bodies perform a very important role in the ecological network and they are of great importance for biodiversity conservation. Because of their quick response to local and regional changes in environmental conditions, they are sensitive indicators of ongoing processes. Many users of these freshwater bodies need (or need to develop) a certain ecological quality. To optimize the ecological function of lentic freshwater systems a good understanding of their condition and occurring changes is needed and a specific reference situation is required. A classification that leans on a broad ecological base is essential. To have, in the future, a more objective and effective way to perform nature conservation, to prioritize nature development ect, we need to map the different types of freshwater bodies. We also need more knowledge related to environmental circumstances who can secure sustainable development of aquatic communities. The main objective of this study include the simplification of the main variety of permanent lentic freshwater systems in Flanders into workable units for environmental assessment, management and planning. A hierarchic typology will be worked out, based on biotic and ecological characteristics of key factors. The data collected in this context they are also important for determining the ongoing ecological status of still waters and to develop specific targets and a pragmatic evaluation method.
DOI: 10.4121/49d43447-9213-4c65-aa3c-a9f86d4aae1e
title: Data supporting the submitted manuscript: Porpoise bone collagen as an indicator of North Sea ecosystem changes during the past 170 years

description: Amino acid Carbon and Nitrogen stable isotope data supporting the paper "<strong>Porpoise bone collagen as an indicator of North Sea ecosystem changes during the past 170 years"</strong> Bulk nitrogen stable isotope and amino acid nitrogen values for proline and lysine and amino acid carbon values for the essential amino acids phenylalanine, valine, leucine, isoleucine, and threonine. These samples are from bone collagen from 1850 to 2019 from Phocoena phoceona in the North Sea.
DOI: 10.4121/49d43447-9213-4c65-aa3c-a9f86d4aae1e.v1
title: Data supporting the submitted manuscript: Porpoise bone collagen as an indicator of North Sea ecosystem changes during the past 170 years

description: Amino acid Carbon and Nitrogen stable isotope data supporting the paper "<strong>Porpoise bone collagen as an indicator of North Sea ecosystem changes during the past 170 years"</strong> Bulk nitrogen stable isotope and amino acid nitrogen values for proline and lysine and amino acid carbon values for the essential amino acids phenylalanine, valine, leucine, isoleucine, and threonine. These samples are from bone collagen from 1850 to 2019 from Phocoena phoceona in the North Sea.
DOI: 10.6084/m9.figshare.30870220
title: SweeperBot: Making 3D Browsing Accessible Through View Analysis and Visual Question Answering

description: Accessing 3D models remains challenging for Screen Reader (SR) users. While some existing 3D viewers allow creators to provide alternative text, they often lack sufficient detail about the 3D models. Grounded on a formative study, this paper introduces <i>SweeperBot</i>, a system that enables SR users to leverage visual question answering to explore and compare 3D models. SweeperBot answers SR users’ visual questions by combining an optimal view selection technique with the strength of generative- and recognition-based foundation models. An expert review with 10 <b>B</b>lind and <b>L</b>ow-<b>V</b>ision (BLV) users with SR experience demonstrated the feasibility of using SweeperBot to assist BLV users in exploring and comparing 3D models. The quality of the descriptions generated by SweeperBot was validated by a second survey study with 30 sighted participants.
DOI: 10.6084/m9.figshare.30870220.v1
title: SweeperBot: Making 3D Browsing Accessible Through View Analysis and Visual Question Answering

description: Accessing 3D models remains challenging for Screen Reader (SR) users. While some existing 3D viewers allow creators to provide alternative text, they often lack sufficient detail about the 3D models. Grounded on a formative study, this paper introduces <i>SweeperBot</i>, a system that enables SR users to leverage visual question answering to explore and compare 3D models. SweeperBot answers SR users’ visual questions by combining an optimal view selection technique with the strength of generative- and recognition-based foundation models. An expert review with 10 <b>B</b>lind and <b>L</b>ow-<b>V</b>ision (BLV) users with SR experience demonstrated the feasibility of using SweeperBot to assist BLV users in exploring and comparing 3D models. The quality of the descriptions generated by SweeperBot was validated by a second survey study with 30 sighted participants.
DOI: 10.15468/dl.ujabgx
title: Occurrence Download

description: A dataset containing 31071 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vulpes lagopus"
 ]
}

 The dataset includes 31071 records from 194 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049399-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/yxorwl
title: PAN-00102374 - coin/coin-related, Tetricus I (270-274) - Tetricus II (272-273) verm., naar, antoninianus

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00102374&lt;/p&gt;
description: Modified: 2025-08-26T07:19:13+02:00
DOI: 10.15468/dl.58sk4d
title: Occurrence Download

description: A dataset containing 1605 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-112.742147 53.098637, -112.838633 53.156717, -112.920096 53.156717, -112.823541 53.098637, -112.742147 53.098637))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 1605 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049398-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8pkwzc
title: Occurrence Download

description: A dataset containing 981717 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((24.98086 59.59705, 25.02989 59.5887, 25.04535 59.5887, 25.1971 59.61005, 25.33196 59.67017, 25.35113 59.67285, 25.49077 59.7349, 25.60796 59.83297, 25.69364 59.9595, 25.70393 59.98048, 25.75626 60.15781, 25.74687 60.34247, 25.67682 60.51358, 25.55402 60.65181, 25.50732 60.67773, 25.45573 60.7358, 25.29407 60.82552, 25.11181 60.85659, 25.10577 60.85659, 24.98246 60.8776, 24.96694 60.8776, 24.81536 60.8563, 24.77252 60.83723, 24.75842 60.83525, 24.73712 60.82575, 24.6549 60.81416, 24.51472 60.75155, 24.49056 60.73119, 24.48892 60.73046, 24.48558 60.72764, 24.46824 60.71989, 24.46487 60.71705, 24.44748 60.70926, 24.32999 60.61002, 24.283 60.53967, 24.27876 60.53608, 24.1934 60.40788, 24.18837 60.39739, 24.13771 60.22041, 24.14829 60.03662, 24.21892 59.86662, 24.3417 59.72945, 24.34378 59.7283, 24.35214 59.71897, 24.35422 59.71782, 24.36258 59.70848, 24.52374 59.61951, 24.70523 59.5887, 24.72069 59.5887, 24.80509 59.60064, 24.87529 59.5887, 24.92167 59.5887, 24.98086 59.59705), (24.96694 60.3276, 24.98246 60.3276, 24.97733 60.3171, 24.99285 60.3171, 24.98772 60.30659, 25.01874 60.30659, 25.02388 60.3171, 25.03939 60.3171, 25.03425 60.30659, 25.11181 60.30659, 25.10666 60.29609, 25.09115 60.29609, 25.08087 60.27509, 25.09637 60.27509, 25.09123 60.26459, 25.13773 60.26459, 25.12231 60.2331, 25.1378 60.2331, 25.13266 60.22261, 25.16364 60.22261, 25.16878 60.2331, 25.18426 60.2331, 25.17912 60.22261, 25.21009 60.22261, 25.1998 60.20163, 25.18432 60.20163, 25.15337 60.20163, 25.14824 60.19114, 25.13276 60.19114, 25.08633 60.19114, 25.08122 60.18065, 25.06575 60.18065, 25.04535 60.1387, 25.02989 60.1387, 25.03498 60.14919, 25.01952 60.14919, 25.02461 60.15967, 24.96274 60.15967, 24.95766 60.14919, 24.9422 60.14919, 24.92674 60.14919, 24.92167 60.1387, 24.87529 60.1387, 24.88035 60.14919, 24.84942 60.14919, 24.85448 60.15967, 24.83901 60.15967, 24.84407 60.17016, 24.81313 60.17016, 24.80808 60.15967, 24.79261 60.15967, 24.78757 60.14919, 24.77211 60.14919, 24.72572 60.14919, 24.72069 60.1387, 24.70523 60.1387, 24.71025 60.14919, 24.69479 60.14919, 24.69981 60.15967, 24.68435 60.15967, 24.68937 60.17016, 24.70484 60.17016, 24.70988 60.18065, 24.72535 60.18065, 24.73543 60.20163, 24.71995 60.20163, 24.74015 60.2436, 24.75565 60.2436, 24.76071 60.2541, 24.7762 60.2541, 24.78127 60.26459, 24.79677 60.26459, 24.80693 60.28559, 24.86895 60.28559, 24.88445 60.28559, 24.88955 60.29609, 24.90506 60.29609, 24.91017 60.30659, 24.92568 60.30659, 24.94119 60.30659, 24.94631 60.3171, 24.96182 60.3171, 24.96694 60.3276))",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 981717 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049361-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dbtjku
title: Occurrence Download

description: A dataset containing 233 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lynx lynx",
 "HasCoordinate is true",
 "Country is Germany",
 "Year is 2000,2025"
 ]
}

 The dataset includes 233 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049400-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17912084
title: Blinding Shifts Input

description: Input data to run the blinding-shift notebook in https://github.com/cloe-org/blindspot.
DOI: 10.5281/zenodo.17912085
title: Blinding Shifts Input

description: Input data to run the blinding-shift notebook in https://github.com/cloe-org/blindspot.
DOI: 10.15468/dl.m5jxyn
title: Occurrence Download

description: A dataset containing 826 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Nyctalus leisleri, Nyctalus plancyi, Nyctereutes procyonoides, Nycteris tragata, Nycticebus bengalensis, Nycticebus coucang, Nyctinomus aegyptiacus, Ochotona cansus, Ochotona curzoniae, Ochotona dauurica, Ochotona forresti, Ochotona gloveri, Ochotona macrotis, Ochotona nubrica, Ochotona roylii, Ochotona syrinx, Ochotona thibetana, Otocolobus manul, Otomops wroughtoni, Ovis ammon, Paguma larvata, Panthera pardus, Panthera tigris, Panthera uncia, Paradoxurus hermaphroditus, Paradoxurus jerdoni, Paraechinus nudiventris, Parascaptor leucura, Pardofelis marmorata, Penthetor lucasii, Petaurillus kinlochii, Petaurista alborufus, Petaurista elegans, Petaurista magnificus, Petaurista mishmiensis, Petaurista nobilis, Petaurista petaurista, Petaurista philippensis, Petaurista xanthotis, Petinomys fuscocapillus, Petinomys genibarbis, Petinomys setosus, Petinomys vordermanni, Phaiomys leucurus, Philetor brachypterus, Phoniscus atrox, Phoniscus jagorii, Pipistrellus abramus, Pipistrellus ceylonicus, Pipistrellus coromandra)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1950",
 "Year is less than or equal to 1969"
 ]
}

 The dataset includes 826 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049402-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/yzcw-1d62
title: "Test_dataset"

description: "This is just a test to understand how the platform works."
DOI: 10.17026/ar/shdbim
title: PAN-00173849 - caulking

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00173849&lt;/p&gt;
description: Modified: 2025-06-11T10:06:01+02:00
DOI: 10.15468/dl.4rn8cb
title: Occurrence Download

description: A dataset containing 941 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-113.348997 51.365280, -113.417290 51.408902, -113.477834 51.408902, -113.409503 51.365280, -113.348997 51.365280))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 941 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049405-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4m5u5m
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((148.199 -8.290915, 148.127999 -8.296474, 148.05874 -8.313015999999999, 147.992923 -8.340134000000001, 147.932165 -8.377164, 147.877959 -8.423194000000001, 147.831638 -8.477096, 147.794344 -8.537544, 147.766997 -8.603054, 147.750276 -8.672014000000001, 147.744597 -8.742728, 147.750107 -8.813454, 147.766675 -8.882452000000001, 147.793901 -8.948021000000001, 147.831117 -9.008544000000001, 147.877411 -9.062528, 147.931644 -9.108641, 147.99248 -9.145745, 148.058418 -9.172922, 148.12783 -9.189501999999999, 148.199 -9.195074, 148.27017 -9.189501999999999, 148.339582 -9.172922, 148.40552 -9.145745, 148.466356 -9.108641, 148.520589 -9.062528, 148.566883 -9.008544000000001, 148.604099 -8.948021000000001, 148.631325 -8.882452000000001, 148.647893 -8.813454, 148.653403 -8.742728, 148.647724 -8.672014000000001, 148.631003 -8.603054, 148.603656 -8.537544, 148.566362 -8.477096, 148.520041 -8.423194000000001, 148.465835 -8.377164, 148.405077 -8.340134000000001, 148.33926 -8.313015999999999, 148.270001 -8.296474, 148.199 -8.290915))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049397-251120083545085/datasets/export for details.
DOI: 10.15468/dl.rq2zg3
title: Occurrence Download

description: A dataset containing 9001 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pipistrellus javanicus, Pipistrellus paterculus, Pipistrellus stenopterus, Pithecheir parvus, Platacanthomys lasiurus, Plecotus ariel, Plecotus homochrous, Plecotus wardi, Porcula salvania, Presbytis femoralis, Presbytis robinsoni, Presbytis siamensis, Prionailurus bengalensis, Prionailurus rubiginosus, Prionodon linsang, Prionodon pardicolor, Procapra picticaudata, Proedromys bedfordi, Proedromys liangshanensis, Pseudois nayaur, Pseudoryx nghetinhensis, Pteromyscus pulverulentus, Pteropus hypomelanus, Pteropus intermedius, Pteropus lylei, Pteropus medius, Pteropus vampyrus, Ptilocercus lowii, Pygathrix cinerea, Pygathrix nemaeus, Pygathrix nigripes, Rattus andamanensis, Rattus annandalei, Rattus argentiventer, Rattus exulans, Rattus losea, Rattus nitidus, Rattus norvegicus, Rattus osgoodi, Rattus pyctoris, Rattus rattus, Rattus tanezumi, Rattus tiomanicus, Ratufa affinis, Ratufa bicolor, Ratufa indica, Ratufa macroura, Rhinolophus acuminatus, Rhinolophus affinis, Rhinolophus beddomei)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1950",
 "Year is less than or equal to 1969"
 ]
}

 The dataset includes 9001 records from 165 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049408-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/92ylpd
title: Visdoorgangen - Fish passage places in Flanders, Belgium

description: Migration of fish in streams and rivers is prevented by various structures (mills, weirs, locks, ...). To make the migration of those fish species possible again, various projects are realized in Flanders. This dataset contains information on the functioning of the fish passages.To allow anyone to use this dataset, we have released the data to the public domain under a Creative Commons Zero waiver (http://creativecommons.org/publicdomain/zero/1.0/). We would appreciate however, if you read and follow these norms for data use (http://www.inbo.be/en/norms-for-data-use) and provide a link to the original dataset (https://doi.org/10.15468/92ylpd) whenever possible. If you use these data for a scientific paper, please cite the dataset following the applicable citation norms and/or consider us for co-authorship. We are always interested to know how you have used or visualized the data, or to provide more information, so please contact us via the contact information provided in the metadata, opendata@inbo.be or https://twitter.com/LifeWatchINBO.
DOI: 10.17026/ar/hliavz
title: PAN-00056300 - smelt waste or lump of lead

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00056300&lt;/p&gt;
description: Modified: 2025-07-11T09:50:39+02:00
DOI: 10.17863/cam.112301
title: Research Data supporting "Evaluating cervical dislocation methods, without using tension on the tail, for humanely killing adult laboratory mice".

description: Dataset Description for Cervical Dislocation Method Effectiveness Study This dataset originates from research aimed at assessing the effectiveness of a novel cervical dislocation method using CT imagery. The study hypothesizes that high-resolution CT scans are adequate for visualizing and scoring the effectiveness of the method. Below is a detailed overview of the dataset's contents, collection, and structure to aid in accessibility and future reuse. Please also refer to the Readme file and the file 'Supplementary 1_All mice sagittal images'. 1. Research Context • The dataset was created for a study evaluating a new cervical dislocation method, focusing on anatomical integrity and technique efficacy. • It includes CT imagery from 66 animals, with an additional 2 control subjects, to enable detailed comparison and scoring. 2. Data Collection and Structure • Subjects and Cohorts: The dataset consists of 6 distinct cohorts of animals, each marked by a date identifier for easy reference. For example, "210921_6A" refers to the sixth animal scanned on September 21. • File Format: CT scans are stored as DICOM (.DCM) files, a standard format that retains high-resolution imaging data for consistent analysis. • Organization: Files are grouped in directories by date/cohort, facilitating streamlined access and organization for users needing specific cohort data. 3. Data Generation and Processing • Imaging Protocol: The CT scans were conducted under controlled conditions to ensure consistency in image quality, allowing for accurate scoring. • Processing: Each scan was saved as a DCM file immediately post-capture to maintain data integrity and compatibility with a variety of medical imaging software. • Data Rendering: For users requiring 3D analysis, an instruction manual is provided to render the CT images using 3D Slicer software, a tool commonly used in the field for analyzing DICOM data. 4. Technical and Non-Technical Information for Reusability • Technical Requirements: Users need a DICOM-compatible viewer; 3D Slicer is recommended, and instructions for its use are included. • Access and Usability: The clear folder structure and labeling system ensure that users can locate and interpret data without needing background knowledge of the study date identifiers. • Future Reusability: By including detailed CT images and maintaining the standard DICOM format, the dataset remains compatible with a wide range of software and accessible for subsequent analyses or comparisons.