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

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((89.02501599999999 23.344418, 88.948532 23.338841, 88.87394999999999 23.322249, 88.803122 23.295055, 88.737808 23.257934, 88.67962199999999 23.211808, 88.63000099999999 23.157821, 88.59016200000001 23.097311, 88.56107900000001 23.031775, 88.543454 22.962833, 88.53770400000001 22.892186, 88.543952 22.821575, 88.562027 22.752738, 88.59146699999999 22.687364, 88.631534 22.627059, 88.681234 22.573299, 88.739341 22.527399, 88.804427 22.490483, 88.874897 22.463451, 88.94902999999999 22.446963, 89.02501599999999 22.441422, 89.10100199999999 22.446963, 89.175135 22.463451, 89.245605 22.490483, 89.31069100000001 22.527399, 89.368798 22.573299, 89.418498 22.627059, 89.45856499999999 22.687364, 89.488005 22.752738, 89.50608 22.821575, 89.512328 22.892186, 89.506578 22.962833, 89.488953 23.031775, 89.45987 23.097311, 89.42003099999999 23.157821, 89.37041000000001 23.211808, 89.312224 23.257934, 89.24691 23.295055, 89.17608199999999 23.322249, 89.1015 23.338841, 89.02501599999999 23.344418))"},{"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 48 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007017-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.274qwm
title: Occurrence Download

description: A dataset containing 569360 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((11.65793 36.15881,16.27408 36.15881,16.27408 39.03791,11.65793 39.03791,11.65793 36.15881))"
 ]
}

 The dataset includes 569360 records from 660 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019120-250402121839773/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.cc2j060s
title: CCDC 2323884: Experimental Crystal Structure Determination

description: Related Article: Xiaoyan Zhang, Hui Li, Na Xu, Xiaodong Liu, Xiu-Li Wang|2025|Inorg.Chem.Front.|12|3823|doi:10.1039/D5QI00460H
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.cc2j062v
title: CCDC 2323886: Experimental Crystal Structure Determination

description: Related Article: Xiaoyan Zhang, Hui Li, Na Xu, Xiaodong Liu, Xiu-Li Wang|2025|Inorg.Chem.Front.|12|3823|doi:10.1039/D5QI00460H
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.cc2k2x6s
title: CCDC 2356285: Experimental Crystal Structure Determination

description: Related Article: Xiaoqin Zhou, Xuewei Su, Jiajie Liu, Xiaoying Peng, Meixia Li, Fuhao Chen, Xunfu Zhou, Wangen Miao|2025|Inorg.Chim.Acta|579|122589|doi:10.1016/j.ica.2025.122589
description: Related Article: Xiaoqin Zhou|2024|CSD Communication|||
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.cc2pg6hw
title: CCDC 2486308: Experimental Crystal Structure Determination

description: Related Article: SUPRIYA MANNA|2025|CSD Communication|||
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: 10.18154/rwth-2025-08954
title: Online supplements | “Queer strange, or queer gay?” – A diachronic mixed-method perspective on linguistic representations of queerness in scripted North American television shows

description: This file contains all publicly available online supplements to the doctoral thesis titled “Queer strange, or queer gay?” – A diachronic mixed-method perspective on linguistic representations of queerness in scripted North American television shows submitted by Charlotte Maria Rosenow at RWTH Aachen University. The full thesis is available via DOI 10.18154/RWTH-2025-08959 (see Link below). As this thesis project utilizes datasets compiled by a third party, only a small excerpt of the annotated data can be made publicly available as a supplement. These exemplary materials from each step of the analysis are intended to illustrate the annotation procedures performed and to allow for more transparency in the analysis. A list of materials included as part of these online supplements can be found on the first page, and can always be accessed via this DOI 10.18154/RWTH-2025-08954. In the interest of academic accountability and comparability, a Coscine repository with additional materials relating to each of the analyses exemplified here was created. Limited access to these materials can be granted upon request via PID 21.11102/591a86a1-4283-4192-9fe7-7c4e401502c6 (Link see References tab).
DOI: 10.3535/06c-261-rs7
title: Reticunassa tanager H. H. Kool, 2021

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gaj-6fy-44n
title: Reticunassa cockburnensis (H. H. Kool & H. Dekker, 2006)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vs1-sr1-672
title: Nassarius humboldti Gili & H. H. Kool, 2022

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lzp-37g-p2a
title: Tritia corrugata (Brocchi, 1814)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/07s-rf1-qrg
title: Albinaria grisea grisea (Deshayes, 1835)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fbe-z9w-j7l
title: Albinaria proteus (O. Boettger, 1889)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2am-gc4-nqh
title: Albinaria alajana dobati H. Nordsieck, 1984

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ts3-092-qbq
title: Acanthochitona fascicularis (Linnaeus, 1767)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/51y-0kl-jp3
title: Trochozonites Pfeffer, 1883

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.5518/1685
title: Data associated with Stereolithography 3D Printing of PTFE-Filled Photopolymer Composites with Enhanced THz Transparency

description: A data set containing the modelled and experimental THz-TDS results of AM-produced PTFE-filled photopolymer composites and compressed PTFE powder pellets.
DOI: 10.5281/zenodo.15061565
title: Example Datasets for Microglial Motility Analysis Using the MotilA Pipeline

description: This dataset contains two 5D time-lapse imaging stacks of the mouse frontal cortex acquired using in vivo two-photon microscopy. The data were acquired to study microglial process motility in the context of complement C4 overexpression, a genetic risk factor for schizophrenia. These stacks are provided as example input data for the MotilA (Microglial Motility Analysis) pipeline.

This dataset accompanies the manuscript by Gockel & Nieves-Rivera et al. (2025), currently under revision. This record will be updated with the final reference upon publication.

Dataset details

Each file is a 5D TIFF stack with axes in the order (T, C, Z, Y, X): • T: time points (imaged every 5 minutes for 40 minutes) • C: imaging channels (channel 0 = microglia [Cx3cr1-GFP], channel 1 = neurons [tdTomato]) • Z: z-slices (~60 slices at 1 µm spacing) • Y, X: spatial dimensions (~125 × 125 μm^2, ~1200 × 1200 px; pixel size: 0.0950785 μm)

Animal details

 • Model: Cx3cr1-GFP mice (microglia), in utero electroporation with tdTomato (neurons) • Age at imaging: P15–P19 • Brain region: Frontal cortex  • Condition 1: Control • Condition 2: C4 overexpression (C4HA plasmid, frontal cortex)

Imaging parameters

 • Microscope: In vivo two-photon microscope (Zeiss 7MP multiphoton microscope) • Laser: Tunable IR laser at 980 nm (InSight X3 tunable laser from Spectra-Physics) • Time-lapse: 5 min intervals over 40 minutes • Mode: Mice were headfixed during acquisition 

Applications

These datasets were used to evaluate: • Microglial process motility • Gained, lost, and stable microglial pixels across time • Turnover ratio (TOR) as a proxy for fine process dynamics

Motila Compatibility

The files are directly compatible with the MotilA pipeline, which performs sub-volume extraction, z-projection, spectral unmixing, filtering, segmentation, and motility quantification based on pixel-wise comparisons.

Acknowledgments

We thank the Cell and Tissue Imaging Facility at the IFM (Theano Eirinopoulou, Mythili Savariradjane), the Light Microscopy Facility at DZNE Bonn (Hans Fried, Severin Filser), and the Animal Research Facilities at DZNE Bonn and IFM.

Funding

This work was supported by: • DZNE (MF) • University of Latvia (BJ) • INSERM (CLM) • Sorbonne University (CLM) • Fondation de France to CLM (FDF#00112562) • ERANET Neuron grants to CLM (ANR-18-NEUR-008-02), MF (BMBF 01EW1905), and BJ (VIAA 1.1.1.5/ERANET/20/01) • DIM C-BRAINS (Conseil Régional d’Ile-de-France) – CLM’s team is a member • Fédération pour la Recherche sur le Cerveau (CLM) • European Union ERC-CoG (MicroSynCom 865618) • German Research Foundation (DFG): SFB1089 (C01, B06), SPP2395 (MF, NG, FF, FM) • DFG Excellence Cluster ImmunoSensation2 (MF) • iBehave network to MF and SP (Ministry of Culture and Science of the State of North Rhine-Westphalia)
DOI: 10.5281/zenodo.15061566
title: Example Datasets for Microglial Motility Analysis Using the MotilA Pipeline

description: This dataset contains two 5D time-lapse imaging stacks of the mouse frontal cortex acquired using in vivo two-photon microscopy. The data were acquired to study microglial process motility in the context of complement C4 overexpression, a genetic risk factor for schizophrenia. These stacks are provided as example input data for the MotilA (Microglial Motility Analysis) pipeline.

This dataset accompanies the manuscript by Gockel & Nieves-Rivera et al. (2025), currently under revision. This record will be updated with the final reference upon publication.

Dataset details

Each file is a 5D TIFF stack with axes in the order (T, C, Z, Y, X): • T: time points (imaged every 5 minutes for 40 minutes) • C: imaging channels (channel 0 = microglia [Cx3cr1-GFP], channel 1 = neurons [tdTomato]) • Z: z-slices (~60 slices at 1 µm spacing) • Y, X: spatial dimensions (~125 × 125 μm^2, ~1200 × 1200 px; pixel size: 0.0950785 μm)

Animal details

 • Model: Cx3cr1-GFP mice (microglia), in utero electroporation with tdTomato (neurons) • Age at imaging: P15–P19 • Brain region: Frontal cortex  • Condition 1: Control • Condition 2: C4 overexpression (C4HA plasmid, frontal cortex)

Imaging parameters

 • Microscope: In vivo two-photon microscope (Zeiss 7MP multiphoton microscope) • Laser: Tunable IR laser at 980 nm (InSight X3 tunable laser from Spectra-Physics) • Time-lapse: 5 min intervals over 40 minutes • Mode: Mice were headfixed during acquisition 

Applications

These datasets were used to evaluate: • Microglial process motility • Gained, lost, and stable microglial pixels across time • Turnover ratio (TOR) as a proxy for fine process dynamics

Motila Compatibility

The files are directly compatible with the MotilA pipeline, which performs sub-volume extraction, z-projection, spectral unmixing, filtering, segmentation, and motility quantification based on pixel-wise comparisons.

Acknowledgments

We thank the Cell and Tissue Imaging Facility at the IFM (Theano Eirinopoulou, Mythili Savariradjane), the Light Microscopy Facility at DZNE Bonn (Hans Fried, Severin Filser), and the Animal Research Facilities at DZNE Bonn and IFM.

Funding

This work was supported by: • DZNE (MF) • University of Latvia (BJ) • INSERM (CLM) • Sorbonne University (CLM) • Fondation de France to CLM (FDF#00112562) • ERANET Neuron grants to CLM (ANR-18-NEUR-008-02), MF (BMBF 01EW1905), and BJ (VIAA 1.1.1.5/ERANET/20/01) • DIM C-BRAINS (Conseil Régional d’Ile-de-France) – CLM’s team is a member • Fédération pour la Recherche sur le Cerveau (CLM) • European Union ERC-CoG (MicroSynCom 865618) • German Research Foundation (DFG): SFB1089 (C01, B06), SPP2395 (MF, NG, FF, FM) • DFG Excellence Cluster ImmunoSensation2 (MF) • iBehave network to MF and SP (Ministry of Culture and Science of the State of North Rhine-Westphalia)
DOI: 10.15468/dl.quh89k
title: Occurrence Download

description: A dataset containing 143 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Solanum pseudocapsicum diflorum",
 "Year 1950-2024"
 ]
}

 The dataset includes 143 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007028-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tra3x9
title: Occurrence Download

description: A dataset containing 954 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((27.88120 17.36132,131.11880 17.36132,131.11880 58.63868,27.88120 58.63868,27.88120 17.36132))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Haloxylon ammodendron"
 ]
}

 The dataset includes 954 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007026-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t4rstf
title: Occurrence Download

description: A dataset containing 3275 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Benin",
 "OccurrenceStatus is Present",
 "TaxonKey is Azadirachta"
 ]
}

 The dataset includes 3275 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007027-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/sjtjv2
title: Taxonomic identification/inventory of Algerian Ants assisted by a molecular barcoding and phylogenetic approach using COX1 mitochondrial sequences

description: This study is the first attempt to inventory and evaluate the taxonomic identification of the Algerian myrmecofauna by integrating traditional morphology with molecular barcoding and phylogenetic approach. Sixty-one specimens of ants belonging to the family Formicidae, collected from different ecosystems in Algeria, were sequenced and barcoded using the mitochondrial cytochrome c oxidase subunit 1 gene (COX1). The DNA barcodes newly generated from this study were compared and analyzed with COX1 homologs available in GenBank databases representing putative conspecific and congeneric relatives of the Algerian ant samples and several others to represent the Formicoid, Poneroid, and Leptanillinae diversity to serve as molecular barcode references and outgroups for phylogenetic analyses. The results confirmed the COX1 gene as an excellent molecular marker at the generic level. They allowed the unambiguous taxonomic assignment of the Algerian specimens surveyed to fourteen Formicoid genera belonging to the Myrmicinae, Formicinae, and Dolichoderinae subfamilies, with abundance of Crematogaster, Tapinoma, Cataglyphis, and Componotus representatives. Such an integrative approach not only provided molecular support to most morphology-based identification but also allowed suggestion of taxonomic assignment or reassignment of some incompletely determined specimens, in accordance with the latest taxonomic revisions (e.g., Plagiolepis schmitzii, Camponotus spissinodis). It also helped to circumscribe some cases which need further investigations to illuminate complex evolutionary relationships and to re-evaluate and refine the taxonomic value of the most relevant diagnostic characters. Moreover, these preliminary data support the previous detection of three additional non-native ants in Algeria. Altogether, these results demonstrate the significant advantages that can be derived from a comprehensive development of such integrative studies for faster and better knowledge and understanding of the myrmecofauna diversity of Africa conserving regional biodiversity.
DOI: 10.21950/rc45fm
title: Smart Rural IoT Lab - Dataset de Tráfico Benigno IoT # Fase 2 #
title: Capturas reales de tráfico de red en un entorno IoT rural inteligente (backend local)

description: El dataset contiene exclusivamente tráfico de red benigno, capturado durante el
funcionamiento normal del Smart Rural IoT Lab, sin inyección de ataques ni
generación de tráfico malicioso.

Está compuesto por 19 sesiones de captura independientes, correspondientes a diferentes jornadas de operación normal del laboratorio. Cada sesión se almacena
en una carpeta separada, siguiendo una nomenclatura basada en la fecha de captura.

Características principales:
- Tráfico real.
- Backend local (edge).
- Entorno controlado.
- Tráfico exclusivamente benigno.
- Dataset de referencia (baseline).
description: Los autores desean agradecer el apoyo del Gobierno de España (a través del Instituto
Nacional de Ciberseguridad de España, INCIBE), con el Proyecto de Investigación Estratégico “Análisis de aplicaciones móviles desde la perspectiva de la protección
de datos: Ciberprotección y Ciberriesgos de la información ciudadana”, así como la
Cátedra Internacional “Smart Rural IoT y Entornos Seguros”, en el contexto del Plan
de Recuperación, Transformación y Resiliencia financiado por la Unión Europea
(NextGenerationEU/PRTR)
description: tcpdump
description: zeek
DOI: 10.34740/kaggle/dsv/14593012
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.6084/m9.figshare.31135243
title: Cool Cities Heat Risk Index (HRI) Middelburg 100 x 100m shapefile

description: <b>Dataset: Cool Cities Heat Risk Index (HRI) – Middelburg, The Netherlands</b><b>Description</b>This dataset provides the Cool Cities Heat Risk Index (HRI) for the municipality of Middelburg, The Netherlands. The HRI combines hazard, exposure, and vulnerability indicators to highlight areas where extreme heat may have the greatest impacts. It is designed as a practical screening tool to inform urban climate adaptation planning and investment decisions.The Middelburg HRI is calculated at 100 by 100 meter grid resolution using open and nationally consistent datasets. HRI values range from 0 to 1 and express relative heat risk within the city.<b>Inputs</b>Hazard: Percentage of grid cell area exposed to high PET based heat stress conditions.Exposure: Number of residents, elderly residents (65 plus), children (0 to 15), women, and dwellings.Sensitivity: Single person households, residents receiving unemployment, social or disability benefits, social housing dwellings, and residents with a migration background.Adaptive capacity: Percentage of owner occupied dwellings and average property value.All indicators are capped and normalized using city specific thresholds.<b>Methods</b>Hazard, exposure, and vulnerability are combined multiplicatively. Vulnerability is calculated using a weighted formulation that emphasizes sensitivity over adaptive capacity. Missing values are handled to avoid bias. The final HRI is normalized and transformed using a fourth root to improve interpretability.<b>Intended use</b>This dataset supports identification of priority areas for heat adaptation in a medium sized Dutch city context, enabling comparison within Middelburg and alignment with national and regional climate adaptation strategies.<b>Limitations</b>The HRI reflects relative spatial patterns and is not a measure of absolute risk. It does not account for transient populations, indoor conditions, or temporal dynamics of heat events.
DOI: 10.6084/m9.figshare.31135243.v1
title: Cool Cities Heat Risk Index (HRI) Middelburg 100 x 100m shapefile

description: <b>Dataset: Cool Cities Heat Risk Index (HRI) – Middelburg, The Netherlands</b><b>Description</b>This dataset provides the Cool Cities Heat Risk Index (HRI) for the municipality of Middelburg, The Netherlands. The HRI combines hazard, exposure, and vulnerability indicators to highlight areas where extreme heat may have the greatest impacts. It is designed as a practical screening tool to inform urban climate adaptation planning and investment decisions.The Middelburg HRI is calculated at 100 by 100 meter grid resolution using open and nationally consistent datasets. HRI values range from 0 to 1 and express relative heat risk within the city.<b>Inputs</b>Hazard: Percentage of grid cell area exposed to high PET based heat stress conditions.Exposure: Number of residents, elderly residents (65 plus), children (0 to 15), women, and dwellings.Sensitivity: Single person households, residents receiving unemployment, social or disability benefits, social housing dwellings, and residents with a migration background.Adaptive capacity: Percentage of owner occupied dwellings and average property value.All indicators are capped and normalized using city specific thresholds.<b>Methods</b>Hazard, exposure, and vulnerability are combined multiplicatively. Vulnerability is calculated using a weighted formulation that emphasizes sensitivity over adaptive capacity. Missing values are handled to avoid bias. The final HRI is normalized and transformed using a fourth root to improve interpretability.<b>Intended use</b>This dataset supports identification of priority areas for heat adaptation in a medium sized Dutch city context, enabling comparison within Middelburg and alignment with national and regional climate adaptation strategies.<b>Limitations</b>The HRI reflects relative spatial patterns and is not a measure of absolute risk. It does not account for transient populations, indoor conditions, or temporal dynamics of heat events.
DOI: 10.15468/dl.q2pu6x
title: Occurrence Download

description: A dataset containing 590 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bifora radians",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 590 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007029-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.