cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25625/cm6tn5/a10hil
title: 1_preparing_data.do

description: Stata code file to prepare analysis data
DOI: 10.25625/cm6tn5/kwvmt9
title: analysisdata.tab

description: Analysis data for replication of analysis, to be used in Stata dofile "2_analysis.do"
DOI: 10.25625/cm6tn5/tkjdfd
title: EL Students Clean.tab

description: Raw data of learning assessment and interviews with children at endline
DOI: 10.17632/3bb7fk963t.1
title: Cultivar mixtures increase stability through asynchrony and intensify productivity over time

description: Crop cultivar mixtures commonly increase productivity in the short term and stabilize and increase productivity in the long term, but these effects can be highly variable. This may be due to a poor understanding of the underlying mechanisms for such diversity effects. We explored mechanisms for the effects of cultivar mixtures on the temporal stability and intensification of productivity in a seven-year (2016-2022) field experiment with maize in Northwest China. Across all cultivar mixtures over the seven years, grain yield and aboveground biomass increased by 5.6% and 3.6%, respectively, compared to the monocultures, stability increased during the later years (2019-2022). Grain yield intensified by 35% and aboveground biomass by 38%, compared to monocultures. Complementarity effects were strong and increased over time. The mean values of functional traits changed in response to mixtures, leading to plant height and ear height traits correlating positively with complementarity effects, which were correlated with temporal yield stability. Asynchrony, or variation in the responses of cultivars to environmental fluctuations, was higher in four-and eight-cultivar mixtures than in two-cultivar mixtures, and negatively correlated with the deviation in temporal yield. These results indicated that cultivars with large differences in mean trait values or that express dynamic trait responses to diversity can increase complementarity effects and asynchrony, producing more productive and stable crops. This increases our understanding of how intraspecific diversity might contribute to sustainable agroecosystems.
DOI: 10.17632/3bb7fk963t.2
title: Cultivar mixtures increase stability and productivity over time through asynchrony and complementarity

description: Crop cultivar mixtures commonly increase productivity in the short term and stabilize and increase productivity in the long term, but these effects can be highly variable. This may be due to a poor understanding of the underlying mechanisms for such diversity effects. We explored mechanisms for the effects of cultivar mixtures on the temporal stability and intensification of productivity in a seven-year (2016-2022) field experiment with maize in Northwest China. Across all cultivar mixtures over the seven years, grain yield and aboveground biomass increased by 5.6% and 3.6%, respectively, compared to the monocultures, stability increased during the later years (2019-2022). Grain yield intensified by 35% and aboveground biomass by 38%, compared to monocultures. Complementarity effects were strong and increased over time. The mean values of functional traits changed in response to mixtures, leading to plant height and ear height traits correlating positively with complementarity effects, which were correlated with temporal yield stability. Asynchrony, or variation in the responses of cultivars to environmental fluctuations, was higher in four-and eight-cultivar mixtures than in two-cultivar mixtures, and negatively correlated with the deviation in temporal yield. These results indicated that cultivars with large differences in mean trait values or that express dynamic trait responses to diversity can increase complementarity effects and asynchrony, producing more productive and stable crops. This increases our understanding of how intraspecific diversity might contribute to sustainable agroecosystems.
DOI: 10.15468/dl.pwhefq
title: Occurrence Download

description: A dataset containing 15028 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"in","key":"TAXON_KEY","values":["3596501"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["HUMAN OBSERVATION"],"matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false}]}

 The dataset includes 15028 records from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011861-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8p8y4r
title: Occurrence Download

description: A dataset containing 265 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Papio kindae Lönnberg, 1919"
 ]
}

 The dataset includes 265 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011862-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c4dxj5
title: Occurrence Download

description: A dataset containing 135 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is Pakistan",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Psittacula himalayana (Lesson, 1831)",
 "Year 1000-2024"
 ]
}

 The dataset includes 135 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011864-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yy9jty
title: Occurrence Download

description: A dataset containing 11000 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"in","key":"TAXON_KEY","values":["3596501"],"matchCase":false},{"type":"in","key":"COUNTRY","values":["ES"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["HUMAN OBSERVATION"],"matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false}]}

 The dataset includes 11000 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011865-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tvdya9
title: Occurrence Download

description: A dataset containing 101 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((105.02027 25.03125,107.08451 8.2089,116.89319 6.1002,127.27318 17.58722,121.65056 27.09024,105.02027 25.03125))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Porites Link, 1807"
 ]
}

 The dataset includes 101 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011863-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.24161694
title: <b>Excess Sludge Disintegration by Discharge Plasma Coupled with Thiosulfate</b>

description: Surplus sludge disposal and treatment are major issues in wastewater treatment plants. Discharge plasma oxidation is an effective approach for sludge dewatering and digestion. In this study, excess sludge disintegration by non-thermal discharge plasma coupled with thiosulfate (TSA) was investigated. After 20 min of the single discharge plasma treatment, the soluble chemical oxygen demand (SCOD) increased to 404.93 mg L−1, and it climbed even more to 549.08 mg L−1 after adding 15 mmol L−1 of TSA. The water content of the filter cake also reduced even more in the presence of TSA. There was an appropriate dosage of TSA available. In the discharge plasma coupled with TSA system, reactive oxygen species (·OH and ·O2-) were generated and had significant involvement in the disintegration of the sludge. The addition of TSA enhanced the production of ·OH. These reactive oxygen species decomposed the floc structures and facilitated the transformation of organic compounds, resulting in a decrease in the average size of the sludge aggregates. The ratio of soluble extracellular polymer substances (S-EPS) was enhanced, while the ratio of the tightly bound fraction was reduced after the treatment. Thus, discharge plasma coupled with TSA promoted microbial cell lysis and facilitated the release of intracellular organic matter and bound water, ultimately enhancing the sludge’s dewaterability.
DOI: 10.6084/m9.figshare.24161694.v1
title: <b>Excess Sludge Disintegration by Discharge Plasma Coupled with Thiosulfate</b>

description: Surplus sludge disposal and treatment are major issues in wastewater treatment plants. Discharge plasma oxidation is an effective approach for sludge dewatering and digestion. In this study, excess sludge disintegration by non-thermal discharge plasma coupled with thiosulfate (TSA) was investigated. After 20 min of the single discharge plasma treatment, the soluble chemical oxygen demand (SCOD) increased to 404.93 mg L−1, and it climbed even more to 549.08 mg L−1 after adding 15 mmol L−1 of TSA. The water content of the filter cake also reduced even more in the presence of TSA. There was an appropriate dosage of TSA available. In the discharge plasma coupled with TSA system, reactive oxygen species (·OH and ·O2-) were generated and had significant involvement in the disintegration of the sludge. The addition of TSA enhanced the production of ·OH. These reactive oxygen species decomposed the floc structures and facilitated the transformation of organic compounds, resulting in a decrease in the average size of the sludge aggregates. The ratio of soluble extracellular polymer substances (S-EPS) was enhanced, while the ratio of the tightly bound fraction was reduced after the treatment. Thus, discharge plasma coupled with TSA promoted microbial cell lysis and facilitated the release of intracellular organic matter and bound water, ultimately enhancing the sludge’s dewaterability.
DOI: 10.34808/p4qc-tp95
title: Identification of L. monocytogenes and atypical isolates by MALDI TOF MS.

description: The data represent the results of research within the scientific activity Miniatura 5 entitled "Characterization of atypical Listeria monocytogenes strains isolated from the food production environment financed by the National Science Center (no. DEC 2021/05/X/NZ9/00143). The aim of this part of the project was (i) to determine the peptide composition using the MALDI - TOF MS method and to create a database of profiles of reference L. monocytogenes strains (ii) to compare the protein composition profiles of atypical isolates to reference ones.
This dataset contains:
- Reports generated from the MALDI TOF MS instrument
 - Spectra of atypical L. monocytogenes isolates - spectra of reference L. monocytogenes strains
 - Peptide profiles of reference and atypical L. monocytogenes isolates.
 All necessary information regarding the above data and the type of instructions for viewing them are included in the README.docx file.
DOI: 10.15468/dl.4qcwcm
title: Occurrence Download

description: A dataset containing 15028 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"in","key":"TAXON_KEY","values":["3596501"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["HUMAN OBSERVATION"],"matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false}]}

 The dataset includes 15028 records from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011866-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uj6ksc
title: Occurrence Download

description: A dataset containing 8861 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sphagnum L.)",
 "Country is one of (Argentina, Bolivia (Plurinational State of), Brazil, Chile, Colombia, Ecuador, Guyana, Paraguay, Peru, Suriname, Uruguay, Venezuela (Bolivarian Republic of))",
 "BasisOfRecord is one of (Specimen, Material sample)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8861 records from 127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011867-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fzcw3b
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is Pakistan",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Psittacula cyanocephala (Linnaeus, 1766)",
 "Year 1000-2024"
 ]
}

 The dataset includes 67 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011868-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5285/c4ec6d24-51a8-4dc4-92de-b7c48dbb3516
title: P-wave velocity and attenuation (1/Q) data of water-saturated sand pack (from dry to full saturation) at 10 kilohertz frequency measured using an acoustic pulse tube under 10 MPa effective pressure

description: The data comprise P-wave velocity and attenuation (1/Q) measurements of water-saturated sand packs (four samples) across saturation levels, from dry to fully saturated. Using an acoustic pulse tube, measurements were recorded in the sonic frequency range (1-20 kHz, centred at 10 kHz) under 10 MPa effective pressure with atmospheric pore pressure. Data were collected in the Pulse Tube Laboratories at the National Oceanography Centre (NOC), Southampton, between March 2022 and January 2023, funded by the Natural Environment Research Council (NERC Grant NE/J020753/1), and primarily collected and analysed by Hanif Sutiyoso (University of Southampton). The experiment aimed to fill gaps in sonic frequency measurements of sediments across saturation states, providing a spectrum of water/gas saturation rather than a single value. This dataset is valuable for researchers analysing saturated sediments and is directly comparable to sonic well-logging field data due to its frequency range. The full dataset has been published at https://doi.org/10.1111/1365-2478.13607.
The method involved measuring time series of signal amplitude from four samples (A to D) inside a 4.5 m water-filled acoustic pulse tube, which allows plane wave propagation in the sediment-jacketed samples. Time-domain data were transformed into the frequency domain using Fast Fourier Transform (FFT) and deconvolved with the chirp source signal to obtain the impulse response. Nonlinear inversion was used to minimize an objective function derived from initial time-domain estimates, determining the sample's complex velocity and attenuation (1/Q).
DOI: 10.15468/dl.75vkyz
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((102.7491 4.83315,125.7809 4.83315,125.7809 31.167,102.7491 31.167,102.7491 4.83315))",
 "TaxonKey is Coeloseris Vaughan, 1918"
 ]
}

 The dataset includes 28 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011869-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27330087
title: ES_MAGs

description: <b>Metagenome-Assembled Genomes of Pig Fecal Samples in Nine European Countries: Insights into Antibiotic Resistance Genes and</b><b>Viruses</b>
DOI: 10.6084/m9.figshare.27330087.v1
title: ES_MAGs

description: <b>Metagenome-Assembled Genomes of Pig Fecal Samples in Nine European Countries: Insights into Antibiotic Resistance Genes and</b><b>Viruses</b>
DOI: 10.57770/n6btn8
title: Decoding Human Somatosensory Sensitivity Through Resting EEG and Behavioral Analysis: A Multimodal Fusion Approach

description: This supplementary data consists of resting-state EEG data of somatosensory sensitivity from 10 subjects, collected after quantitative sensory testing. EEG signals were collected in the resting state, with the subject comfortably seated in a chair wearing an EEG cap, without performing any instructed movement or imagery task, or being exposed to any nociceptive stimulus. A full scalp 65-channel EEG cap (BrainVision actiCAP sys tem, Gateway Centre Blvd., Suite 600 Morrisville, NC 27560, USA) was used. All EEG electrodes were referenced to the electrode placed at the Fz and a common ground was set at the FPz. The sampling rate was 1000 Hz. Electrode placements were based on 10-20 international standard systems.
DOI: 10.5281/zenodo.10664056
title: Dataset of Annotated Oral Cavity Images for Oral Cancer Detection

description: Citation

When using this resource, please cite the original publication:

N.S. Piyarathne, S.N. Liyanage, R.M.S.G.K. Rasnayaka, P.V.K.S. Hettiarachchi, G.A.I. Devindi, F.B.A.H. Francis, D.M.D.R. Dissanayake, R.A.N.S. Ranasinghe, M.B.D. Pavithya, I.B. Nawinne, R.G. Ragel, R.D. Jayasinghe, “A comprehensive dataset of annotated oral cavity images for diagnosis of oral cancer and oral potentially malignant disorders,” Oral Oncology, vol. 156, p. 106946, 2024.

Available at: https://doi.org/10.1016/j.oraloncology.2024.106946

Overview

The dataset consists of 3,000 high-quality images of oral cavities taken with mobile phone cameras from the Sri Lankan population. The images are categorized into healthy, benign, oral potentially malignant disorders (OPMD), and oral cancer (OCA) by domain experts. Each image contains annotations for oral cavity and lesion boundaries in COCO format. Additionally, patient metadata, such as age, sex, diagnosis, and risk factors like smoking, alcohol consumption, and betel quid chewing, is included in the meta-data files. The dataset contains the following files: 



Images.zip: Folder of oral cavity images.

Annotation.json: Annotations for the images provided in the JSON (JavaScript Object Notation) file.

Imagewise_data.csv: File including the image ID, category, clinical diagnosis, and the number of annotated regions for each image.

Patientwise_data.csv: File containing patient-level metadata, including age, sex, and total image count per patient. Additionally, it includes binary indicators for risk factors such as smoking, chewing betel quid, and alcohol consumption.


Request Access

You need to satisfy these terms and conditions in order for this request to be accepted:



Any request for access must be made through a Zenodo account associated with an official affiliation email address (e.g., institution, organization).



The following details are required as the request message:



A brief description of the intended use of the dataset, outlining the purpose of their study (maximum 250 words).



Principal Investigator’s name and affiliation.




Principal investigator’s page on the affiliation’s official website.






You may use this work only for non-commercial purposes. Any use intended for commercial gain or profit is strictly prohibited.




Proper credit must be given to the creator by citing the original article associated with this dataset. 




No modifications, derivatives, or adaptations of this work are allowed.



Requests that adhere to the terms and conditions will be processed within 2-3 working days.

Authors' Publications





A comprehensive dataset of annotated oral cavity images for diagnosis of oral cancer and oral potentially malignant disorders. DOI: 10.1016/j.oraloncology.2024.106946




Multimodal Deep Convolutional Neural Network Pipeline for AI-Assisted Early Detection of Oral Cancer. DOI: 10.1109/ACCESS.2024.3454338
DOI: 10.5281/zenodo.13889542
title: Data for "Characterizing the chemical potential disorder in the topological insulator (Bi1−xSbx)2Te3 thin films"

description: Here, the data underlying all figures of the paper "Characterizing the chemical potential disorder in the topological insulator (Bi$_{1−x}$Sb$_x$)$_2$Te$_3$ thin films" is given in .csv or .txt file format.Furthermore, raw data files are provided.The STM/STS data was recorded and stored with the Nanonis SPM Control Software Version Generic 5 in the Nanonis file format (.sxm) for scan images, binary file format (.3ds) for STSgrids and ASCII file format for simple point STS.
DOI: 10.5281/zenodo.10664055
title: Dataset of Annotated Oral Cavity Images for Oral Cancer Detection

description: Citation

When using this resource, please cite the original publication:

N.S. Piyarathne, S.N. Liyanage, R.M.S.G.K. Rasnayaka, P.V.K.S. Hettiarachchi, G.A.I. Devindi, F.B.A.H. Francis, D.M.D.R. Dissanayake, R.A.N.S. Ranasinghe, M.B.D. Pavithya, I.B. Nawinne, R.G. Ragel, R.D. Jayasinghe, “A comprehensive dataset of annotated oral cavity images for diagnosis of oral cancer and oral potentially malignant disorders,” Oral Oncology, vol. 156, p. 106946, 2024.

Available at: https://doi.org/10.1016/j.oraloncology.2024.106946

Overview

The dataset consists of 3,000 high-quality images of oral cavities taken with mobile phone cameras from the Sri Lankan population. The images are categorized into healthy, benign, oral potentially malignant disorders (OPMD), and oral cancer (OCA) by domain experts. Each image contains annotations for oral cavity and lesion boundaries in COCO format. Additionally, patient metadata, such as age, sex, diagnosis, and risk factors like smoking, alcohol consumption, and betel quid chewing, is included in the meta-data files. The dataset contains the following files: 



Images.zip: Folder of oral cavity images.

Annotation.json: Annotations for the images provided in the JSON (JavaScript Object Notation) file.

Imagewise_data.csv: File including the image ID, category, clinical diagnosis, and the number of annotated regions for each image.

Patientwise_data.csv: File containing patient-level metadata, including age, sex, and total image count per patient. Additionally, it includes binary indicators for risk factors such as smoking, chewing betel quid, and alcohol consumption.


Request Access

You need to satisfy these terms and conditions in order for this request to be accepted:



Any request for access must be made through a Zenodo account associated with an official affiliation email address (e.g., institution, organization).



The following details are required as the request message:



A brief description of the intended use of the dataset, outlining the purpose of their study (maximum 250 words).



Principal Investigator’s name and affiliation.




Principal investigator’s page on the affiliation’s official website.






You may use this work only for non-commercial purposes. Any use intended for commercial gain or profit is strictly prohibited.




Proper credit must be given to the creator by citing the original article associated with this dataset. 




No modifications, derivatives, or adaptations of this work are allowed.



Requests that adhere to the terms and conditions will be processed within 2-3 working days.

Authors' Publications





A comprehensive dataset of annotated oral cavity images for diagnosis of oral cancer and oral potentially malignant disorders. DOI: 10.1016/j.oraloncology.2024.106946




Multimodal Deep Convolutional Neural Network Pipeline for AI-Assisted Early Detection of Oral Cancer. DOI: 10.1109/ACCESS.2024.3454338