cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7939/r3-vp5e-aj53
title: Soil and porewater chemistry from peatlands of the Interior Plains, northwestern Canada

description: The xlsx files contain one "ReadMe" tab and one "Data" tab regarding the chemistry of peatland soils or porewater. The "ReadMe" tab details the variable name, units, description, citation (optional), laboratory, and vocabulary terms. The "Data" tab contains data collected from twelve wetlands across the Interior Plains of northwestern Canada in July 2021. We collected shallow groundwater samples from three locations per wetland by hand or with a peristaltic pump with Teflon tubing. A 10×10 cm section of soil from a microtopographic hollow was removed to ~20 cm depth and allowed to fill with water and settle from disturbance for ≥1 hour. At each subsite, we collected soil cores from a microtopographic hollow with 5 cm diameter Lexan core tubes to a depth of 12 cm. We sampled adjacent hollows from which water samples were collected to ensure the presence of representative porewater. Three separate cores for soil chemistry analysis and microbial composition were combined at 2 cm intervals into sterile Ziplock bags, homogenized, and frozen at -20°C in the field. Data were analyzed at the Biogeochemical Analytical Service Laboratory (University of Alberta), Ecohydrology and Biogeochemistry Research Group (University of Münster), Natural Resources Analytical Laboratory (University of Alberta), Catchment and Wetland Science Research Group (University of Alberta), Water Quality Center (Trent University). Soil variables: Wetland, Region, Date, Latitude, Longitude, Permafrost, Km, Kd, MeHg, THg, d15N, d13C, N, C, C_N, Na, Mg, Al, Si, P, S, Cl, K, Ca, Ti, Cr, Mn, Fe, Cu, Zn, As, Br, Rb, Sr, Ba, Pb, C6H10O5N, 1420/1090, 1510/1090, 1630/1090, 1720/1090 Porewater variables: Wetland, Region, Date, Latitude, Longitude, Permafrost, EC, pH, DOC, TDN, NH4-N, NO2-N, NO3-N, Cl, PO4-P, SO4-S, Na, K, Mg, Zn, P, S, Ca, Fe, Mn, B, Al, THg, MeHg, A254, SUVA, BIX, HIX, FI, Bpeak, Tpeak, Apeak, Mpeak, Cpeak, DBE, Aimod, NOSC
DOI: 10.5281/zenodo.15420146
title: 3D Printing Files for OPM-MEG

description: These files were created by Pierre Corvilain as part of the research projects "OPM-MEG for Diagnostic Evaluation of Epilepsy in School-aged Children" and "Pushing the boundaries of OPM-MEG towards early human life" during his postdoctoral position at the Laboratoire de Neuroanatomie et Neuroimagerie translationnelles (LN2T), Université Libre de Bruxelles, Belgium, under the supervision of Xavier De Tiège. They were used in the following publications:

Feys, O., Corvilain, P., Aeby, A., Sculier, C., Holmes, N., Brookes, M., Goldman, S., Wens, V., & De Tiège, X. (2022). On-Scalp Optically Pumped Magnetometers versus Cryogenic Magnetoencephalography for Diagnostic Evaluation of Epilepsy in School-aged Children. Radiology, 304(2), 429–434. DOI: 10.1148/radiol.212453

Corvilain, P., Wens, V., Bourguignon, M., Capparini, C., Fourdin, L., Ferez, M., Feys, O., De Tiège, X., & Bertels, J. (2025). Pushing the boundaries of MEG based on optically pumped magnetometers towards early human life. Imaging Neuroscience. DOI: 10.1162/imag_a_00489

Contents

This repository includes:



holder.stl – OPM holder 3D printing file, works with QuSpin Inc's OPM 2nd and 3rd genration. They can be sewn on EEG caps, and the corners can be digitized using a Polhemus system.

cap_gen*.stl – small cap to place on top of OPMs, with reflective markers spaces for 3D localisation using a structured light scanner, and space for the cables to run below.

spacing.stl – Small 4 mm spacing that can sewn on the cap, to prevent heat from hurting sensitive skins.

mappin.zip contains holders designed for mapping the MSR magnetic field, and jigs to measure the offsets of the OPMs.

blender files.zip contains the Blender files used to create the 3D models.


Usage

These files are provided to help others adapt and build upon our design for their own research. The files are suitable for 3D printing with ABS, and were designed using Blender.

If you modify or improve these files, we’d appreciate hearing about your work.

License

These files are shared under the Creative Commons Attribution 4.0 International License (CC BY 4.0).You are free to share and adapt the materials, even for commercial purposes, provided that:



You give appropriate credit to the original creators and institution.

You include references to the related publications.

You indicate if changes were made.

You provide a link to the license


License text: see LICENSE.txtMore info: https://creativecommons.org/licenses/by/4.0/

Contact

For questions, please contact:Pierre Corvilain – pcorvila@gmail.com
DOI: 10.5281/zenodo.15420147
title: 3D Printing Files for OPM-MEG

description: These files were created by Pierre Corvilain as part of the research projects "OPM-MEG for Diagnostic Evaluation of Epilepsy in School-aged Children" and "Pushing the boundaries of OPM-MEG towards early human life" during his postdoctoral position at the Laboratoire de Neuroanatomie et Neuroimagerie translationnelles (LN2T), Université Libre de Bruxelles, Belgium, under the supervision of Xavier De Tiège. They were used in the following publications:

Feys, O., Corvilain, P., Aeby, A., Sculier, C., Holmes, N., Brookes, M., Goldman, S., Wens, V., & De Tiège, X. (2022). On-Scalp Optically Pumped Magnetometers versus Cryogenic Magnetoencephalography for Diagnostic Evaluation of Epilepsy in School-aged Children. Radiology, 304(2), 429–434. DOI: 10.1148/radiol.212453

Corvilain, P., Wens, V., Bourguignon, M., Capparini, C., Fourdin, L., Ferez, M., Feys, O., De Tiège, X., & Bertels, J. (2025). Pushing the boundaries of MEG based on optically pumped magnetometers towards early human life. Imaging Neuroscience. DOI: 10.1162/imag_a_00489

Contents

This repository includes:



holder.stl – OPM holder 3D printing file, works with QuSpin Inc's OPM 2nd and 3rd genration. They can be sewn on EEG caps, and the corners can be digitized using a Polhemus system.

cap_gen*.stl – small cap to place on top of OPMs, with reflective markers spaces for 3D localisation using a structured light scanner, and space for the cables to run below.

spacing.stl – Small 4 mm spacing that can sewn on the cap, to prevent heat from hurting sensitive skins.

mappin.zip contains holders designed for mapping the MSR magnetic field, and jigs to measure the offsets of the OPMs.

blender files.zip contains the Blender files used to create the 3D models.


Usage

These files are provided to help others adapt and build upon our design for their own research. The files are suitable for 3D printing with ABS, and were designed using Blender.

If you modify or improve these files, we’d appreciate hearing about your work.

License

These files are shared under the Creative Commons Attribution 4.0 International License (CC BY 4.0).You are free to share and adapt the materials, even for commercial purposes, provided that:



You give appropriate credit to the original creators and institution.

You include references to the related publications.

You indicate if changes were made.

You provide a link to the license


License text: see LICENSE.txtMore info: https://creativecommons.org/licenses/by/4.0/

Contact

For questions, please contact:Pierre Corvilain – pcorvila@gmail.com
DOI: 10.15468/dl.mwcwnp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-78.75149047601687 -0.0722995416155766, -78.74493372108488 -0.0715362947537284, -78.74447875498873 -0.071229661392041, -78.71394213031334 -0.0327089459519633, -78.71161819019026 -0.0139109098007843, -78.71772070870256 -0.0146900315070955, -78.75955299154073 -0.0524557949979857, -78.76334098294994 -0.0583786635991811, -78.76313284375229 -0.0606885784330709, -78.76128164214325 -0.0631712665214254, -78.7534481640223 -0.0708576615180668, -78.75149047601687 -0.0722995416155766))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Viruses"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031418-250426092105405/datasets/export for details.
DOI: 10.5281/zenodo.15420223
title: Data for "Antiferromagnetic and bond-order-wave phases in the half-filled two-dimensional optical Su-Schrieffer-Heeger-Hubbard model"

description: Data files for "Antiferromagnetic and bond-order-wave phases in the half-filled two-dimensional optical Su-Schrieffer-Heeger-Hubbard model" by A. Tanjaroon Ly, B. Cohen-Stead, and S. Johnston

preprint: https://arxiv.org/abs/2502.14196
DOI: 10.5281/zenodo.15420224
title: Data for "Antiferromagnetic and bond-order-wave phases in the half-filled two-dimensional optical Su-Schrieffer-Heeger-Hubbard model"

description: Data files for "Antiferromagnetic and bond-order-wave phases in the half-filled two-dimensional optical Su-Schrieffer-Heeger-Hubbard model" by A. Tanjaroon Ly, B. Cohen-Stead, and S. Johnston

preprint: https://arxiv.org/abs/2502.14196
DOI: 10.15468/dl.jew2c5
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Zenarchopterus clarus Mohr, 1926"
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031420-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eh4ymk
title: Occurrence Download

description: A dataset containing 47891 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Punica granatum L."
 ]
}

 The dataset includes 47891 records from 682 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031419-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/c4k4-zd80
title: "Synthetic EEG Dataset for CNN-LSTM Training: Clean and Artifact-Contaminated Signals"

description: "Synthetic EEG Dataset for CNN-LSTM Training: Clean and Artifact-Contaminated SignalsThis dataset consists of synthetically generated EEG and EMG signals designed for training Convolutional Neural Networks (CNNs) in artifact detection and removal. The dataset includes both clean EEG signals and EEG signals contaminated with simulated EMG artifacts from various sources.This dataset is useful for training and evaluating machine learning models aimed at artifact correction, signal denoising, and EEG preprocessing."
DOI: 10.5281/zenodo.15296114
title: Multiple time window VRP dataset

description: Explanation of the Multi-Time Windows Dataset for the Vehicle Routing Problem with Time Windows Dataset

Introduction

This document provides an overview of the newly created dataset that extends the classic Solomon benchmark instances for the Vehicle Routing Problem with Time Windows (VRPTW). The dataset introduces multiple time windows for each customer, enhancing the realism and applicability of routing algorithms in logistics and supply chain management.

Dataset Structure

The dataset consists of six CSV files, each corresponding to a specific problem type from the original Solomon datasets. Each file contains data for 100 customers, including the depot, and includes the following columns:



CUST_NO: Customer ID (0 represents the depot)

XCOORD: X-coordinate of the customer's location

YCOORD: Y-coordinate of the customer's location

DEMAND: The demand of the customer (in units)

READY_TIME_1: Start time of the first time window

DUE_TIME_1: End time of the first time window

READY_TIME_2: Start time of the second time window

DUE_TIME_2: End time of the second time window

READY_TIME_3: Start time of the third time window

DUE_TIME_3: End time of the third time window


Example of the New Dataset

The following table illustrates a sample of the new dataset, showing the first six customers, including the depot:








CUST_NO



XCOORD



YCOORD



DEMAND



READY_TIME_1



DUE_TIME_1



READY_TIME_2



DUE_TIME_2



READY_TIME_3



DUE_TIME_3





0



40



50



0



0



960



0



960



0



960





1



45



68



10



690



750



570



630



900



960





2



45



70



30



750



810



480



540



570



630





3



42



66



10



780



840



540



600



720



780





4



42



68



10



480



540



810



870



750



810





5



42



65



10



690



750



810



870



480



540






Original Solomon Dataset Analysis

The following table summarizes the analysis of the original Solomon datasets, highlighting key metrics for each problem type:








Problem Type



Count



Mean Ready Time



Mean Due Time



Mean Duration



Min Duration



Max Duration





C1



900



316.33



637.32



320.99



29



1136





C2



800



1114.85



2035.36



920.51



160



3291





R1



1200



59.46



146.42



86.95



10



215





R2



1100



241.34



695.08



453.73



27



985





RC1



800



64.26



149.69



85.42



10



225





RC2



800



258.90



628.66



369.75



60



945
DOI: 10.48597/u9j8-gyd8
title: Measurement of Pm10_mass at Birkenes II

description: Measurement of Pm10_mass at Birkenes II
DOI: 10.48597/7s5d-y4pc
title: Measurement of Pm10_mass at Birkenes II

description: Measurement of Pm10_mass at Birkenes II
DOI: 10.48597/dx9n-hdh7
title: Measurement of Pm10_mass at Birkenes II

description: Measurement of Pm10_mass at Birkenes II
DOI: 10.48597/qsn9-s99v
title: Measurement of Pm10_mass at Birkenes II

description: Measurement of Pm10_mass at Birkenes II
DOI: 10.48597/xdcz-csg8
title: Pm10_mass at Birkenes II

description: Measurement of Pm10_mass at Birkenes II
DOI: 10.48597/7d4e-kum2
title: Measurement of Pm10_mass at Birkenes II

description: Measurement of Pm10_mass at Birkenes II
DOI: 10.48597/wz46-jzna
title: Measurement of Pm10_mass at Birkenes II

description: Measurement of Pm10_mass at Birkenes II
DOI: 10.15468/dl.ebv7ga
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.34.59_1","matchCase":false},{"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 27 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009315-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18247014
title: Baccharis gnaphalioides Spreng. 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 16:42
DOI: 10.5281/zenodo.18247015
title: Baccharis gnaphalioides Spreng. 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 16:42
DOI: 10.5281/zenodo.17566586
title: Encuesta a Agricultores sobre Aplicaciones de las Fases de la Luna en el  Manejo del Cultivo de Café en el Departamento del Cauca.

description: La presente encuesta fue aplicada a caficultores de diferentes municipios del departamento del Cauca, con el propósito de recopilar información sobre las prácticas agrícolas tradicionales asociadas a las fases lunares y su incidencia en las labores del cultivo de café. Los resultados permitieron identificar el grado de conocimiento, percepción y aplicación de estas prácticas dentro del manejo agronómico, así como su integración con las recomendaciones técnicas modernas.
DOI: 10.5281/zenodo.18247000
title: Encuesta a Agricultores sobre Aplicaciones de las Fases de la Luna en el  Manejo del Cultivo de Café en el Departamento del Cauca.

description: La presente encuesta fue aplicada a caficultores de diferentes municipios del departamento del Cauca, con el propósito de recopilar información sobre las prácticas agrícolas tradicionales asociadas a las fases lunares y su incidencia en las labores del cultivo de café. Los resultados permitieron identificar el grado de conocimiento, percepción y aplicación de estas prácticas dentro del manejo agronómico, así como su integración con las recomendaciones técnicas modernas.
DOI: 10.15468/dl.mcw3tg
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Abramis brama",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1840",
 "Year is less than or equal to 1844"
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009316-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zyaaa8
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"IND.20.33_1","matchCase":false},{"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 53 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009317-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18247032
title: Baccharis heeringiana Malag. 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 16:42
DOI: 10.5281/zenodo.18247033
title: Baccharis heeringiana Malag. 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 16:42
DOI: 10.17909/0qhv-x816
title: 30Dor_F658N_Sabbi_HTTP
DOI: 10.15468/dl.b6z53y
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Aves del Pantano de Martos, Guatavita, Cundinamarca"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009318-260108223611665/datasets/export for details.
DOI: 10.5281/zenodo.18201363
title: Data for "Soaring, aerodynamics and complex flows in thermals"
DOI: 10.5281/zenodo.18201364
title: Data for "Soaring, aerodynamics and complex flows in thermals"
DOI: 10.15468/dl.99ba8a
title: Occurrence Download

description: A dataset containing 7544 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "GadmGid is COL.19_2",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 7544 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009319-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18247048
title: Baccharis helichrysoides DC. 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 16:42
DOI: 10.5281/zenodo.18247049
title: Baccharis helichrysoides DC. 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 16:42
DOI: 10.5281/zenodo.18242030
title: Carry-over Effects not Climate Change Adaptations: Phenological Plasticity in a Migratory Songbird

description: Data and Code for: 'Carry-over effects not climate change adaptations: Phenological plasticity in a migratory songbird'

This repository contains the data, R scripts, and Google Earth Engine scripts used for the analyses presented in __________. This project explores the relationship between arrival timing of male prothonotary warblers (Protonotaria citrea) and environmental drivers at multiple stages of the annual cycle to test whether the prothonotary warbler's lack of a phenological response to climate change is due to strong endogenous control over timing or a limited ability to adjust timing after departure from the nonbreeding grounds. 

If you use this code or data, please cite: __________
DOI: 10.5281/zenodo.18242031
title: Carry-over Effects not Climate Change Adaptations: Phenological Plasticity in a Migratory Songbird

description: Data and Code for: 'Carry-over effects not climate change adaptations: Phenological plasticity in a migratory songbird'

This repository contains the data, R scripts, and Google Earth Engine scripts used for the analyses presented in __________. This project explores the relationship between arrival timing of male prothonotary warblers (Protonotaria citrea) and environmental drivers at multiple stages of the annual cycle to test whether the prothonotary warbler's lack of a phenological response to climate change is due to strong endogenous control over timing or a limited ability to adjust timing after departure from the nonbreeding grounds. 

If you use this code or data, please cite: __________
DOI: 10.6084/m9.figshare.31068337
title: Content Creator Crew Demo

description: This demo evaluates a CrewAI-powered multi-agent content creation workflow. The workflow is designed to create a blog post based on a given topic, target audience, and optional context. The workflow is evaluated using Deepchecks to identify performance issues and root causes.
DOI: 10.6084/m9.figshare.31068337.v1
title: Content Creator Crew Demo

description: This demo evaluates a CrewAI-powered multi-agent content creation workflow. The workflow is designed to create a blog post based on a given topic, target audience, and optional context. The workflow is evaluated using Deepchecks to identify performance issues and root causes.
DOI: 10.15468/dl.hxs7jw
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation)",
 "Geometry POLYGON((120 39,123 39,123 42,120 42,120 39))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Ciconia boyciana, Platalea minor)"
 ]
}

 The dataset includes 52 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009321-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.