cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17026/ar/xt1lsj
title: Voort Reusel IVO-P, variant Archeologische Begeleiding. Voort te Reusel (gemeente Reusel-De Mierden)

description: &lt;p&gt;Tussen september 2023 en februari 2024 is door Antea Group in opdracht van de gemeente Reusel-De Mierden een archeologische begeleiding uitgevoerd voor de Voort in Reusel. Aanleiding van het onderzoek waren de geplande werkzaamheden aan de weg. Daarbij wordt de weg bovengronds en ondergronds heringericht, waarbij ook de riolering wordt vervangen, bodemsaneringen zullen plaatsvinden en onderzoek naar explosieven (OO) zal plaats vinden.Voor het plangebied gold een onderzoeksplicht volgens het beleid van de gemeente Reusel-De Mierden. Voorafgaand aan de archeologische begeleiding is er een bureauonderzoek uitgevoerd. Het plangebied beslaat het grootste gedeelte van de straat Voort, aan de westkant van Reusel. Het tracé heeft een lengte van ongeveer 450 meter.Bij de archeologische begeleiding van de Voort zijn, ondanks enkele beperkingen, voldoende tracédelen onderzocht om een goed beeld te krijgen van de archeologische situatie. Er zijn in totaal 10 werkputten gedocumenteerd en zes profielkolommen. De resultaten zijn in lijn met de verwachting: van de oostkant was uit oud kaartmateriaal al bekend dat hier een kans was op het aantreffen van resten uit de nieuwe tijd. De rest van het tracé bleek, voor zover het onderzocht is, verstoord te zijn door de bestaande weg en de bijbehorende infrastructuur. Vanwege de beperkte breedte van de sleuf aan de oostkant van het tracé, is niet duidelijk geworden hoe de context van de sporen eruit heeft gezien. Hierdoor, en door de mate van verstoring van de bovenste delen van het sporenniveau, zullen de resten waarschijnlijk weinig nieuwe informatie opleveren. De waterput is grotendeels in situ bewaard gebleven, omdat deze dieper reikte dan de civieltechnische werkzaamheden.De aangetroffen vindplaats is beoordeeld als niet behoudenswaardig, en Antea Group adviseert dan ook om het plangebied vrij te geven. Omdat de ontgravingswerkzaamheden al zijn uitgevoerd, heeft dit advies geen gevolgen meer voor deze werkzaamheden.&lt;/p&gt;
DOI: 10.15468/msmsab
title: FSFN: Forest Soil Fauna Network: Syrphidae, Flanders Belgium

description: In the period 1997-1998, the Flemish Forest Service funded a study (B&G/29/98) that initiated a region-wide soil fauna survey by a consortium of three Universities (RuG, KuL and UA; now University of Ghent, KU Leuven and University of Antwerp) and two Research Institutes (IBW and RBINS; now INBO and RBINS ) . The survey was conducted on 56 well selected forest plots representative for all forest- and soil types in Flanders Region.The goals of the study were (1) to assess the diversity of soil dwelling organisms (soil fauna) across Flanders’ forests; (2) to look for bioindicators for forest soil quality and (3) to explore if a biological forest soil classification system based on soil fauna composition could be designed. Recognizing the critical role of soil organisms in ecosystem functioning (e.g. nutrient cycling), the study sought to establish a link between soil biodiversity and soil condition. Here we publish the Syrphidae data sampled in this initial project, as a T0. Over time, other organism groups and soil bioindicators were assessed on the same FSFN plots by various studies. However, 25 years later, all plots are getting resurveyed by the studies ‘FOURCAST’ and ‘Biota4C’ following the same sampling schemes and methodologies as in the initial project. Therefore we wish to publish all initial datasets in order to compare them with the recent findings. All published data can be retrieved using collectionCode ‘FSFN’.Issues with the dataset can be reported at https://github.com/inbo/data-publication-fsfn/issuesWe have released this dataset to the public domain under a Creative Commons Zero waiver. We would appreciate it if you follow the INBO norms for data use (https://www.inbo.be/en/norms-data-use) when using the data. If you have any questions regarding this dataset, don't hesitate to contact us via the contact information provided in the metadata or via opendata@inbo.be.For all published datasets regarding this Forest Soil Fauna Network (FSFN), see https://www.gbif.org/dataset/search?project_id=BNG/15/96 or https://www.gbif.org/occurrence/search?collection_code=FSFN
DOI: 10.15468/dl.pg3kxh
title: Occurrence Download

description: A dataset containing 4205 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Europe",
 "TaxonKey is Anthidium florentinum"
 ]
}

 The dataset includes 4205 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047413-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48510/fk2/nyfuzo
title: Recovery Strategies to Enhance the Performance of Latvian Martial Arts Athletes

description: The dataset includes data collected as part of a study on recovery strategies to improve the performance of Latvian martial arts (Taekwondo) athletes. The study compares post-exercise methods: cryosauna/cold-water immersion and foam rolling. The dataset consists of seven separate but interconnected CSV files (workbooks) that share a consistent formatting structure. These files show the athletes' performance readiness as pre- and post-test results, including demographic data, the Latvian recovery-stress questionnaire (RESTQ), the determination test (DT) from the Vienna test system, delayed-onset muscle soreness (DOMS), the countermovement jump (CMJ), muscle function testing of the lower limbs with an Isokinetic dynamometer, and the modified taekwondo anaerobic intermittent kick test (TAIKT).
The study aims to analyze and compare the effects of recovery strategies (cryosauna/cold-water immersion and foam rolling) on performance readiness in well-trained taekwondo athletes before competition. The results provide a scientific foundation and can guide future research into the mechanisms underlying post-exercise recovery methods and their effects on athletes' performance.
DOI: 10.5281/zenodo.17858890
title: Repository for Mw 8.8 Maule Aftershock Deep-Learning-Based Catalog

description: This repository contains the computational components used to generate and analyze the high-resolution earthquake catalog of the 2010 Mw 8.8 Maule aftershock sequence described in Flores-Allende et al., (2026). It includes:

• The Maule aftershock catalog in CSV format ('maule_aftershocks_bpmf_ds01.csv').• Python scripts for local-magnitude calibration and b-value analysis ('ml_params_estimator.py', 'b_values.py', 'spatial_b_value.py',  'gutenberg_richter.py), used in Flores-Allende et al., (2026).• Documentation of the end-to-end processing chain: BPMF, PhaseNet picking, BeamPower backprojection, NonLinLoc + SSST + waveform coherence relocation, SourceSpec Mw estimation, local-magnitude joint inversion, and b-value analysis.

This deposit does not redistribute seismic waveforms or third-party software; instead, it provides references and DOIs to the original data centers (RESIF, IRIS, GEOFON) and the open-source tools used (BPMF, NonLinLoc, SourceSpec, b-values).
DOI: 10.5281/zenodo.17858889
title: Repository for Mw 8.8 Maule Aftershock Deep-Learning-Based Catalog

description: This repository contains the computational components used to generate and analyze the high-resolution earthquake catalog of the 2010 Mw 8.8 Maule aftershock sequence described in Flores-Allende et al., (2026). It includes:

• The Maule aftershock catalog in CSV format ('maule_aftershocks_bpmf_ds01.csv').• Python scripts for local-magnitude calibration and b-value analysis ('ml_params_estimator.py', 'b_values.py', 'spatial_b_value.py',  'gutenberg_richter.py), used in Flores-Allende et al., (2026).• Documentation of the end-to-end processing chain: BPMF, PhaseNet picking, BeamPower backprojection, NonLinLoc + SSST + waveform coherence relocation, SourceSpec Mw estimation, local-magnitude joint inversion, and b-value analysis.

This deposit does not redistribute seismic waveforms or third-party software; instead, it provides references and DOIs to the original data centers (RESIF, IRIS, GEOFON) and the open-source tools used (BPMF, NonLinLoc, SourceSpec, b-values).
DOI: 10.15468/q494xp
title: FSFN: Forest Soil Fauna Network: Empididae and Hybotidae, Flanders Belgium

description: In the period 1997-1998, the Flemish Forest Service funded a study (B&G/29/98) that initiated a region-wide soil fauna survey by a consortium of three Universities (RuG, KuL and UA; now University of Ghent, KU Leuven and University of Antwerp) and two Research Institutes (IBW and RBINS; now INBO and RBINS). The survey was conducted on 56 well selected forest plots representative for all forest- and soil types in Flanders Region.The goals of the study were (1) to assess the diversity of soil dwelling organisms (soil fauna) across Flanders’ forests; (2) to look for bioindicators for forest soil quality and (3) to explore if a biological forest soil classification system based on soil fauna composition could be designed. Recognizing the critical role of soil organisms in ecosystem functioning (e.g. nutrient cycling), the study sought to establish a link between soil biodiversity and soil condition. Here we publish the Empididae and Hybotidae data sampled in this initial project, as a T0. Over time, other organism groups and soil bioindicators were assessed on the same FSFN plots by various studies. However, 25 years later, all plots are getting resurveyed by the studies ‘FOURCAST’ and ‘Biota4C’ following the same sampling schemes and methodologies as in the initial project. Therefore we wish to publish all initial datasets in order to compare them with the recent findings. All published data can be retrieved using collectionCode ‘FSFN’.Issues with the dataset can be reported at https://github.com/inbo/data-publication-fsfn/issuesWe have released this dataset to the public domain under a Creative Commons Zero waiver. We would appreciate it if you follow the INBO norms for data use (https://www.inbo.be/en/norms-data-use) when using the data. If you have any questions regarding this dataset, don't hesitate to contact us via the contact information provided in the metadata or via opendata@inbo.be.For all published datasets regarding this Forest Soil Fauna Network (FSFN), see https://www.gbif.org/dataset/search?project_id=BNG/15/96 or https://www.gbif.org/occurrence/search?collection_code=FSFN
DOI: 10.5281/zenodo.17896706
title: MCSRNet: Structure interpretation via Generative Model and Multimodal Strategies from Characterization Data

description: This work presents a Multimodal Crystal Structure Refinement Network (MCSRNet) that systematically explores the synergistic potential of multimodal data in crystal structure refinement. Based on a CLIP-pretrained XRD–TEM representation model, MCSRNet establishes a unified embedding space for the two modalities, enabling deep cross-modal feature fusion. Incorporating compositional information, it further introduces an XRD–TEM-based crystal structure generation module that achieves end-to-end prediction of complete three-dimensional crystal structures, including lattice parameters, atomic positions, element types, and fractional occupancies. Under the setting of generating ten candidate structures, MCSRNet achieves over 85% match accuracy across six representative structure types—such as perovskite, rocksalt, and spinel—and exceeds 95% accuracy in four of them, demonstrating exceptional generation accuracy, robustness, and generalization across diverse crystallographic systems.

Because GitHub does not allow hosting large files, the dataset and model checkpoints are provided here. Please place them into the correct directories after downloading: rename best_xrd.pt by removing the _xrd suffix and put it into ./XRD CLIP/; rename best_xrd_TEM.pt by removing the _xrd_TEM suffix and put it into ./XRD-TEM CLIP/; place epoch=699-step=246399.ckpt into ./Diffusion/output/HYDRA/2025-03-12/perov_CaTiO3/; and after extracting the data archive, move the resulting folder into ./Diffusion/.
DOI: 10.5281/zenodo.17900555
title: MCSRNet: Structure interpretation via Generative Model and Multimodal Strategies from Characterization Data

description: This work presents a Multimodal Crystal Structure Refinement Network (MCSRNet) that systematically explores the synergistic potential of multimodal data in crystal structure refinement. Based on a CLIP-pretrained XRD–TEM representation model, MCSRNet establishes a unified embedding space for the two modalities, enabling deep cross-modal feature fusion. Incorporating compositional information, it further introduces an XRD–TEM-based crystal structure generation module that achieves end-to-end prediction of complete three-dimensional crystal structures, including lattice parameters, atomic positions, element types, and fractional occupancies. Under the setting of generating ten candidate structures, MCSRNet achieves over 85% match accuracy across six representative structure types—such as perovskite, rocksalt, and spinel—and exceeds 95% accuracy in four of them, demonstrating exceptional generation accuracy, robustness, and generalization across diverse crystallographic systems.

Because GitHub does not allow hosting large files, the dataset and model checkpoints are provided here. Please place them into the correct directories after downloading: rename best_xrd.pt by removing the _xrd suffix and put it into ./XRD CLIP/; rename best_xrd_TEM.pt by removing the _xrd_TEM suffix and put it into ./XRD-TEM CLIP/; place epoch=699-step=246399.ckpt into ./Diffusion/output/HYDRA/2025-03-12/perov_CaTiO3/; and after extracting the data archive, move the resulting folder into ./Diffusion/.
DOI: 10.15468/dl.htubcz
title: Occurrence Download

description: A dataset containing 17559 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-1000.0",
 "Geometry POLYGON((-6.25617 41.0851,27.48128 41.0851,27.48128 72.26782,-6.25617 72.26782,-6.25617 41.0851))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhodiola rosea"
 ]
}

 The dataset includes 17559 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047414-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2jq14g
title: CCDC 2344875: Experimental Crystal Structure Determination

description: Related Article: M. P. Kosaya,  N. B. Tamm,  S. I. Troyanov,  V. Yu. Markov,  N. S. Lukonina,  K. A. Lyssenko,  A. A. Goryunkov|2025|Izv.Akad.Nauk SSSR,Ser.Khim.|74|2814|doi:10.1007/s11172-025-4762-8
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2jq15h
title: CCDC 2344876: Experimental Crystal Structure Determination

description: Related Article: M. P. Kosaya,  N. B. Tamm,  S. I. Troyanov,  V. Yu. Markov,  N. S. Lukonina,  K. A. Lyssenko,  A. A. Goryunkov|2025|Izv.Akad.Nauk SSSR,Ser.Khim.|74|2814|doi:10.1007/s11172-025-4762-8
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2jq16j
title: CCDC 2344877: Experimental Crystal Structure Determination

description: Related Article: M. P. Kosaya,  N. B. Tamm,  S. I. Troyanov,  V. Yu. Markov,  N. S. Lukonina,  K. A. Lyssenko,  A. A. Goryunkov|2025|Izv.Akad.Nauk SSSR,Ser.Khim.|74|2814|doi:10.1007/s11172-025-4762-8
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2jq17k
title: CCDC 2344878: Experimental Crystal Structure Determination

description: Related Article: M. P. Kosaya,  N. B. Tamm,  S. I. Troyanov,  V. Yu. Markov,  N. S. Lukonina,  K. A. Lyssenko,  A. A. Goryunkov|2025|Izv.Akad.Nauk SSSR,Ser.Khim.|74|2814|doi:10.1007/s11172-025-4762-8
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2jq18l
title: CCDC 2344879: Experimental Crystal Structure Determination

description: Related Article: M. P. Kosaya,  N. B. Tamm,  S. I. Troyanov,  V. Yu. Markov,  N. S. Lukonina,  K. A. Lyssenko,  A. A. Goryunkov|2025|Izv.Akad.Nauk SSSR,Ser.Khim.|74|2814|doi:10.1007/s11172-025-4762-8
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.q8hqrr
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((103.726 -1.077818, 103.655724 -1.083384, 103.587179 -1.099945, 103.522049 -1.127094, 103.461939 -1.164162, 103.408329 -1.210237, 103.362537 -1.264185, 103.325692 -1.324678, 103.298701 -1.390227, 103.282229 -1.459218, 103.276683 -1.529953, 103.2822 -1.60069, 103.298646 -1.669688, 103.325616 -1.735247, 103.362448 -1.795752, 103.408235 -1.849715, 103.46185 -1.895804, 103.521973 -1.932885, 103.587123 -1.960044, 103.655695 -1.976612, 103.726 -1.98218, 103.796305 -1.976612, 103.864877 -1.960044, 103.930027 -1.932885, 103.99015 -1.895804, 104.043765 -1.849715, 104.089552 -1.795752, 104.126384 -1.735247, 104.153354 -1.669688, 104.1698 -1.60069, 104.175317 -1.529953, 104.169771 -1.459218, 104.153299 -1.390227, 104.126308 -1.324678, 104.089463 -1.264185, 104.043671 -1.210237, 103.990061 -1.164162, 103.929951 -1.127094, 103.864821 -1.099945, 103.796276 -1.083384, 103.726 -1.077818))"},{"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 55 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047417-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2jq19m
title: CCDC 2344880: Experimental Crystal Structure Determination

description: Related Article: M. P. Kosaya,  N. B. Tamm,  S. I. Troyanov,  V. Yu. Markov,  N. S. Lukonina,  K. A. Lyssenko,  A. A. Goryunkov|2025|Izv.Akad.Nauk SSSR,Ser.Khim.|74|2814|doi:10.1007/s11172-025-4762-8
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2jq1bn
title: CCDC 2344881: Experimental Crystal Structure Determination

description: Related Article: M. P. Kosaya,  N. B. Tamm,  S. I. Troyanov,  V. Yu. Markov,  N. S. Lukonina,  K. A. Lyssenko,  A. A. Goryunkov|2025|Izv.Akad.Nauk SSSR,Ser.Khim.|74|2814|doi:10.1007/s11172-025-4762-8
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc22f9jc
title: CCDC 1919412: Experimental Crystal Structure Determination

description: Related Article: Cheng-Xia Chen, Xili Cui, Yang-Yang Xiong, Pui Ching Lan, Kui Tan, Zhang-Wen Wei, Zheng Niu, Chuan Shan, Lifeng Yang, Shengqian Ma, Cheng-Yong Su|2025|Nat. Synth.|||doi:10.1038/s44160-025-00911-7
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc22f9lf
title: CCDC 1919414: Experimental Crystal Structure Determination

description: Related Article: Cheng-Xia Chen, Xili Cui, Yang-Yang Xiong, Pui Ching Lan, Kui Tan, Zhang-Wen Wei, Zheng Niu, Chuan Shan, Lifeng Yang, Shengqian Ma, Cheng-Yong Su|2025|Nat. Synth.|||doi:10.1038/s44160-025-00911-7
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2j01tf
title: CCDC 2323754: Experimental Crystal Structure Determination

description: Related Article: Xiaohan Yang, Chenyu Dou, Biqin Wang, Qian Zhang, Yahong Li|2025|J.Mol.Struct.|1325|141015|doi:10.1016/j.molstruc.2024.141015
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2jpsqr
title: CCDC 2344645: Experimental Crystal Structure Determination

description: Related Article: Xiaohan Yang, Chenyu Dou, Biqin Wang, Qian Zhang, Yahong Li|2025|J.Mol.Struct.|1325|141015|doi:10.1016/j.molstruc.2024.141015
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.