cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15778/resif.zs2007
title: SEISMOTANZ'07

description: Understanding the forces that initiate continental break-up needs to find sites where magmatism and rifting interact. The thermal structure of the mantle and the crust, the products of partial melting, the position(s) and nature(s) of the inherited structures (cratonic blocks, old lithospheric sutures) play a key role on earthquake genesis and have to be studied into details using different, multi-scale, approaches. The North Tanzanian Divergence (NTD) is one of the unique areas in the world where such objectives can be achieved. Two main questions are driving our project : (1) Is there a characteristic plume impact at depth that modifies the rheology and strength of the lithosphere? (2) Can we identify there, through seismicity and kinematic indicators, the dimension of main active faults and the way deformation is occurring We installed a temporary network of 34 stations for 6 months to follow more precisely the micro-seismicity and infer crust structure.
DOI: 10.15778/resif.zu2015
title: Seismic network ZU : Orogen-X temporary experiment (RESIF-SISMOB)

description: The eastern Pyrenees have a crustal structure clearly different from the central part of the range. 
 In order to image the transition between the two sectors, two orthogonal passive seismic profiles have been set up. 
 Composed of 28 temporary broadband stations and a few more from the permanent networks backbone, 
 they recorded teleseismic as well as local events from mid-2015 to late 2016.
DOI: 10.15778/resif.zv2018
title: MAUPITI seismic noise temporary experiment, French Polynesia (RESIF-SISMOB)

description: The MAUPITI'HOE experimentation aimed to deployed around the volcanic reef island of Maupiti (french polynesia) an important combination of hydrodynamic equipment (ADV, ADP, pressiometers; up to 64 sensors) and three seismometers (including broadband features) to analyze the seismic noise driven by the local wave field, the impact of Pacific waves onto the reef and the other possible interactions between nearshore hydrodynamics and reef bottom. The experimentation standed for 4 months.
DOI: 10.15468/dl.qynq4q
title: Occurrence Download

description: A dataset containing 543 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gremmeniella",
 "HasCoordinate is true"
 ]
}

 The dataset includes 543 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000269-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17660063
title: The influence of Sm2O3 dopant on structure, morphology and transport critical current density of MgB2 wires investigated by using the transmission electron microscope

description: Table 2, Table 3 and Table 4  presents the lattice parameters results for undoped and doped MgB2 wires. The wires were made by using the powder-in-tube technique [1]. The results were published in an open access article. 

 

[1] Daniel Gajda, Michał Babij, Andrzej Zaleski, Doğan Avci, Fırat Karaboga, Hakan Yetis, Ibrahim Belenli, Dariusz Zasada, Damian Szymański, Małgorzata Małecka, Wojciech Gil, Tomasz Czujko"The influence of Sm2O3 dopant on the structure, morphology, and transport of critical current density of MgB2 wires investigated by using the transmission electron microscope."Journal of Magnesium and Alloys 12 (2024) 5061-5078https://doi.org/10.1016/j.jma.2024.12.009
DOI: 10.15468/dl.we58gk
title: Occurrence Download

description: A dataset containing 2931 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 7.18805697565855",
 "DecimalLongitude is less than 7.19111652884295",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 2931 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000272-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r8anmn
title: Occurrence Download

description: A dataset containing 27814 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Phylloscopus humei",
 "Year 2024-2025"
 ]
}

 The dataset includes 27814 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000270-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17028/rd.lboro.30665711
title: Supplementary information files for "Self-powered ultrasensitive and highly stretchable temperature–strain sensing composite yarns"

description: Supplementary files for article "Self-powered ultrasensitive and highly stretchable temperature–strain sensing composite yarns"<br><br>With the emergence of stretchable/wearable devices, functions, such as sensing, energy storage/harvesting, and electrical conduction, should ideally be carried out by a single material, while retaining its ability to withstand large elastic deformations, to create compact, functionally-integrated and autonomous systems. A new class of trimodal, stretchable yarn-based transducer formed by coating commercially available Lycra® yarns with PEDOT:PSS is presented. The material developed can sense strain (first mode), and temperature (second mode) and can power itself thermoelectrically (third mode), eliminating the need for an external power-supply. The yarns were extensively characterized and obtained an ultrahigh (gauge factor ∼3.6 × 10<sup>5</sup>, at 10–20% strain) and tunable (up to about 2 orders of magnitude) strain sensitivity together with a very high strain-at-break point (up to ∼1000%). These PEDOT:PSS-Lycra yarns also exhibited stable thermoelectric behavior (Seebeck coefficient of 15 μV K<sup>−1</sup>), which was exploited both for temperature sensing and self-powering (∼0.5 μW, for a 10-couple module at Δ<i>T</i> ∼ 95 K). The produced material has potential to be interfaced with microcontroller-based systems to create internet-enabled, internet-of-things type devices in a variety of form factors.<br><br>© The Author(s), CC BY NC 4.0<br>
DOI: 10.17028/rd.lboro.30665711.v1
title: Supplementary information files for "Self-powered ultrasensitive and highly stretchable temperature–strain sensing composite yarns"

description: Supplementary files for article "Self-powered ultrasensitive and highly stretchable temperature–strain sensing composite yarns"<br><br>With the emergence of stretchable/wearable devices, functions, such as sensing, energy storage/harvesting, and electrical conduction, should ideally be carried out by a single material, while retaining its ability to withstand large elastic deformations, to create compact, functionally-integrated and autonomous systems. A new class of trimodal, stretchable yarn-based transducer formed by coating commercially available Lycra® yarns with PEDOT:PSS is presented. The material developed can sense strain (first mode), and temperature (second mode) and can power itself thermoelectrically (third mode), eliminating the need for an external power-supply. The yarns were extensively characterized and obtained an ultrahigh (gauge factor ∼3.6 × 10<sup>5</sup>, at 10–20% strain) and tunable (up to about 2 orders of magnitude) strain sensitivity together with a very high strain-at-break point (up to ∼1000%). These PEDOT:PSS-Lycra yarns also exhibited stable thermoelectric behavior (Seebeck coefficient of 15 μV K<sup>−1</sup>), which was exploited both for temperature sensing and self-powering (∼0.5 μW, for a 10-couple module at Δ<i>T</i> ∼ 95 K). The produced material has potential to be interfaced with microcontroller-based systems to create internet-enabled, internet-of-things type devices in a variety of form factors.<br><br>© The Author(s), CC BY NC 4.0<br>
DOI: 10.5281/zenodo.17660334
title: Generation of narrow band high frequency signals using spintronic THz emitters

description: Data for Narrowband Spintronic Terahertz Emitters:

This includes the following folders:-

 

1) The folder "Fig 2" contains data for figure 2 in the manuscript.

2) The folder "Fig 3" contains data for figure 3 in the manuscript.

3) The folder "Fig 4" contains data for figure 4 in the manuscript.

 

Further information can be found in the "ReadMe.txt" file.
DOI: 10.5281/zenodo.17660335
title: Generation of narrow band high frequency signals using spintronic THz emitters

description: Data for Narrowband Spintronic Terahertz Emitters:

This includes the following folders:-

 

1) The folder "Fig 2" contains data for figure 2 in the manuscript.

2) The folder "Fig 3" contains data for figure 3 in the manuscript.

3) The folder "Fig 4" contains data for figure 4 in the manuscript.

 

Further information can be found in the "ReadMe.txt" file.
DOI: 10.15468/dl.6x9bsb
title: Occurrence Download

description: A dataset containing 3413 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cordana",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3413 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000273-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17639280
title: AttackMate Evaluation Data

description: Log data and network traffic data sets collected during AttackMate evaluations.

The data sets cover three scenarios:



Privilege Escalation

Information Gathering (tcpdump)

Lateral Movement


Each scenario has been implemented and tested with AttackMate and MITRE Caldera. Playbooks can be found in the respective directories:



AttackMate



Playbooks in <scenario>/attacker/configs/<scenario>.yml

Execution logs in <scenario>/attacker/logs/attackmate.json



MITRE Caldera



Execution logs in <scenario>/attacker/logs/<scenario>.json
DOI: 10.15468/dl.ue8m5c
title: Occurrence Download

description: A dataset containing 6619 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "GadmGid is one of (COL)",
 "TaxonKey is one of (Steatornis caripensis [GBIF Backbone Taxonomy])"
 ]
 }
 ]
}

 The dataset includes 6619 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000274-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15128/r16q182k22n
title: Including pre-existing fractures in phase field fracture models [dataset]

description: This file contains the Figure data for the paper "Including pre-existing fractures in phase field fracture models"
description: The phase field method for fracture modelling has in recent years become the method of choice for complex fracture problems, especially those involving branching, merging or nucleating fractures. As the number of applications of the phase field method has expanded, the importance of assessing its accuracy has increased. One important factor in enabling the production of accurate results is making appropriate choices to include pre-existing fractures in the model setup. In this work, seven methods for including pre-existing fractures are identified - six from existing literature, and one new method derived from the phase field energy functional. These methods are tested in their ability to reproduce an analytical 1D solution for their phase field, and their performance in a mode I fracture problem, with their load-displacement and energy release rate responses analysed. The authors' proposed method exhibits robust performance and shows promise in matching theoretical predictions and reducing computational cost in some settings.
DOI: 10.15468/dl.s77tdr
title: Occurrence Download

description: A dataset containing 1047 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Lagenaria siceraria",
 "Year 2010-2025"
 ]
}

 The dataset includes 1047 records from 85 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000275-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yezrkh
title: Occurrence Download

description: A dataset containing 2894 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 7.19111652884295",
 "DecimalLongitude is less than 7.19417608202734",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 2894 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000276-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9a635x
title: Occurrence Download

description: A dataset containing 546 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oculimacula",
 "HasCoordinate is true"
 ]
}

 The dataset includes 546 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000278-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.de9fqp
title: Occurrence Download

description: A dataset containing 337 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Issue is Coordinate rounded",
 "StateProvince is one of (OKlahoma, Oklahama, OKLAHOMA?)",
 "TaxonKey is Hyla cinerea (Schneider, 1799)"
 ]
}

 The dataset includes 337 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003544-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15278900
title: BIOMAT-AnatNER: A Biomaterials Domain-Specific Corpus for Named Entity Recognition of Anatomical Structures

description: BIOMAT-AnatNER Corpus

BIOMAT-AnatNER stands for BIOMATerials Anatomical Structure Named Entity Recognition. It is a corpus developed as part of the Horizon Europe BIOMATDB project to support the extraction and classification of anatomical structure mentions in scientific literature related to biomaterials. The corpus focuses specifically on the annotation of entities encompassing tissues, organs and body parts that appear in the context of biomaterials applications, such as mentions of tissues involved in implantation studies, or organs relevant to biocompatibility testing.

The corpus was created through a collaborative effort involving domain experts, who were tasked with the establishment of comprehensive and accurate annotation guidelines for the manual annotation of the final gold standard corpus. On this basis, PubMed abstracts were carefully selected based on MeSH (Medical Subject Headings) terms associated with relevant disciplines, such as regenerative medicine, orthopedics, dentistry and cardiology, to reflect the terminology commonly used in biomaterials research and manually annotated according to the rules predefinedin the annotation guidelines.

The BIOMAT-AnatNER corpus is one of four developed within the project and is divided into three subsets: a training set (750 documents), a test set (150 documents), and a validation set (100 documents), available in multiple formats, including brat, CSV and CoNLL.

This corpus is part of a broader initiative to support the development of an advanced, searchable biomaterials database with integrated analytical tools and digital advisors. It is also intended for use in training Named Entity Recognition (NER) models, enabling the automatic identification and extraction of anatomical structure mentions relevant to biomaterials research and development.

Resources



Project Website

Biomaterials Marketplace

Biomaterials Database
DOI: 10.5281/zenodo.15278901
title: BIOMAT-AnatNER: A Biomaterials Domain-Specific Corpus for Named Entity Recognition of Anatomical Structures

description: BIOMAT-AnatNER Corpus

BIOMAT-AnatNER stands for BIOMATerials Anatomical Structure Named Entity Recognition. It is a corpus developed as part of the Horizon Europe BIOMATDB project to support the extraction and classification of anatomical structure mentions in scientific literature related to biomaterials. The corpus focuses specifically on the annotation of entities encompassing tissues, organs and body parts that appear in the context of biomaterials applications, such as mentions of tissues involved in implantation studies, or organs relevant to biocompatibility testing.

The corpus was created through a collaborative effort involving domain experts, who were tasked with the establishment of comprehensive and accurate annotation guidelines for the manual annotation of the final gold standard corpus. On this basis, PubMed abstracts were carefully selected based on MeSH (Medical Subject Headings) terms associated with relevant disciplines, such as regenerative medicine, orthopedics, dentistry and cardiology, to reflect the terminology commonly used in biomaterials research and manually annotated according to the rules predefinedin the annotation guidelines.

The BIOMAT-AnatNER corpus is one of four developed within the project and is divided into three subsets: a training set (750 documents), a test set (150 documents), and a validation set (100 documents), available in multiple formats, including brat, CSV and CoNLL.

This corpus is part of a broader initiative to support the development of an advanced, searchable biomaterials database with integrated analytical tools and digital advisors. It is also intended for use in training Named Entity Recognition (NER) models, enabling the automatic identification and extraction of anatomical structure mentions relevant to biomaterials research and development.

Resources



Project Website

Biomaterials Marketplace

Biomaterials Database
DOI: 10.15468/dl.cu2553
title: Occurrence Download

description: A dataset containing 458 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Living Specimen, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC-BY 4.0, CC0 1.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Rumex hymenosepalus",
 "Year 2000-2026"
 ]
}

 The dataset includes 458 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001500-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18308069
title: Scutellaria racemosa Pers. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.5281/zenodo.18308070
title: Scutellaria racemosa Pers. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.15468/dl.95ezk5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((103.106 -2.716827, 103.035658 -2.722392, 102.967046 -2.738949, 102.901852 -2.766092, 102.841679 -2.803152, 102.788009 -2.849219, 102.742161 -2.903158, 102.705266 -2.963642, 102.678232 -3.029184, 102.661727 -3.09817, 102.656159 -3.168902, 102.661667 -3.239639, 102.678118 -3.308638, 102.705108 -3.374201, 102.741976 -3.434713, 102.787814 -3.488681, 102.841494 -3.534777, 102.901694 -3.571864, 102.966932 -3.599028, 103.035598 -3.615599, 103.106 -3.621169, 103.176402 -3.615599, 103.245068 -3.599028, 103.310306 -3.571864, 103.370506 -3.534777, 103.424186 -3.488681, 103.470024 -3.434713, 103.506892 -3.374201, 103.533882 -3.308638, 103.550333 -3.239639, 103.555841 -3.168902, 103.550273 -3.09817, 103.533768 -3.029184, 103.506734 -2.963642, 103.469839 -2.903158, 103.423991 -2.849219, 103.370321 -2.803152, 103.310148 -2.766092, 103.244954 -2.738949, 103.176342 -2.722392, 103.106 -2.716827))"},{"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/0001501-260119153935675/datasets/export for details.
DOI: 10.15468/dl.f2tctv
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ornithopus perpusillus)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 28 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001502-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18308075
title: Scutia (Comm. ex DC.) Brongn. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.5281/zenodo.18308076
title: Scutia (Comm. ex DC.) Brongn. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.15468/dl.cy9q84
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Capnia sidimiensis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001503-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.