cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/3kbd99k7c2.1
title: Delgado et al. 2023 CRISPR Screen D11 BR

description: CRISPR screen accompanied with Delgado et al. 2023 manuscript (unpublished).
File nomenclature:
Unsorted: input of all cells transduced with sgRNA library  
D8_TL: Sorted cells day 8 post-transduction, top left population (suppressors)
D8_BR: Sorted cells day 8 post-transduction, bottom right population (effectors)
D11_TL: Sorted cells day 11 post-transduction, top left population (suppressors)
D11_BR: Sorted cells day 11 post-transduction, bottom right population (effectors)
D12_TL: Sorted cells day 12 post-transduction, top left population (suppressors)
D12_BR: Sorted cells day 12 post-transduction, bottom right population (effectors)
DOI: 10.17632/v8vss4573t.1
title: Correlations between flavor and fermentation days and changes in quality-related physiochemical characteristics of fermented Aurantii Fructus

description: These data come from the determination of total flavonoids, total polyphenols and antioxidant capacity of Aurantii Fructus with different fermentation days, and quantitative and qualitative studies by HPLC, UPLC-QTOF-MS/MS and GC-nose.
DOI: 10.6084/m9.figshare.22106153.v10
title: LeakPair: Proactive Repairing of Memory Leaks in Single Page Web Applications

description: LeakPair: Proactive Repairing of Memory Leaks in Single Page Web Applications
DOI: 10.17632/dwm4vf8g3t.1
title: Raw Data for "Stress Characterization for Friction-Stir-Welded Electric Vehicle Battery Trays with Application of Neutron Diffraction". 

description: These files include the d-spacing measurements obtained from neutron diffraction required to calculate the lattice strain using Hooke's law and, eventually, residual stress.
DOI: 10.17632/w3tnnpswm2.1
title: Goethite/hematite ratios in synthetic standard samples and natural Luochuan loess-paleosol section

description: Goethite/hematite ratios in soils are widely used to reconstruct past climatic changes, but their accurate measurements have remained challenging due to the matrix effect. Here we present a new method for measuring soil goethite/hematite ratios by characterizing the band position of electron pair transition (EPT) based on diffuse reflectance spectra using the continuum removal processing. We introduce a ‘half-band-area wavelength’, λ1/2, to characterize the EPT band position and validate the method using synthetic standards made from mixing pure goethite-hematite and four sets of goethite- and hematite-free matrices derived from arid aeolian deposits and tropical saprolite. A consistent λ1/2-goethite/hematite ratios relation is established across the four matrices, demonstrating that our method eliminates the matrix effect. We further validate our method by applying it to quantify goethite/hematite ratios in 180-kyr loess-paleosol sequences and comparing the results to reported convincing paleoclimatic records. This dataset includes a sub-dataset of synthetic standard samples and a sub-dataset of natural Luochuan loess-paleosol section spanning the past 180 kyr.
DOI: 10.17632/w3tnnpswm2.2
title: Goethite/hematite ratios in synthetic standard samples and natural Luochuan loess-paleosol section

description: Goethite/hematite ratios in soils are widely used to reconstruct past climatic changes, but their accurate measurements have remained challenging due to the matrix effect. Here we present a new method for measuring soil goethite/hematite ratios by characterizing the band position of electron pair transition (EPT) based on diffuse reflectance spectra using the continuum removal processing. We introduce a ‘half-band-area wavelength’, λ1/2, to characterize the EPT band position and validate the method using synthetic standards made from mixing pure goethite-hematite and four sets of goethite- and hematite-free matrices derived from arid aeolian deposits and tropical saprolite. A consistent λ1/2-goethite/hematite ratios relation is established across the four matrices, demonstrating that our method eliminates the matrix effect. We further validate our method by applying it to quantify goethite/hematite ratios in 180-kyr loess-paleosol sequences and comparing the results to reported convincing paleoclimatic records. This dataset includes a sub-dataset of synthetic standard samples and a sub-dataset of natural Luochuan loess-paleosol section spanning the past 180 kyr.
DOI: 10.17632/5s48s2wznb.1
title: Delgado et al. 2023 CRISPR Screen D11 TL

description: CRISPR screen accompanied with Delgado et al. 2023 manuscript (unpublished).
File nomenclature:
Unsorted: input of all cells transduced with sgRNA library  
D8_TL: Sorted cells day 8 post-transduction, top left population (suppressors)
D8_BR: Sorted cells day 8 post-transduction, bottom right population (effectors)
D11_TL: Sorted cells day 11 post-transduction, top left population (suppressors)
D11_BR: Sorted cells day 11 post-transduction, bottom right population (effectors)
D12_TL: Sorted cells day 12 post-transduction, top left population (suppressors)
D12_BR: Sorted cells day 12 post-transduction, bottom right population (effectors)
DOI: 10.17632/d27fbh375b.1
title: Granulosa cell mevalonate pathway abnormalities contribute to oocyte meiotic defects and aneuploidy

description: Source Data of "Granulosa cell mevalonate pathway abnormalities contribute to oocyte meiotic defects and aneuploidy"
DOI: 10.17632/scygy762tr.1
title: Vegetation pests and diseases data set

description: Vegetation pests and diseases data set
DOI: 10.17632/57gm9kgz75.1
title: Large Eutrophic Estuaries Becoming Sinks of CO2 and More Acidic in a Changing Climate

description: This is the data collection for the paper Large Eutrophic Estuaries Becoming Sinks of CO2 and More Acidic in a Changing Climate published on Communications Earth & Environment. See ReadMe.txt for the details on the usage of the data.
DOI: 10.17632/57gm9kgz75.2
title: Large Eutrophic Estuaries Becoming Sinks of CO2 and More Acidic in a Changing Climate

description: This is the data collection for the paper Large Eutrophic Estuaries Becoming Sinks of CO2 and More Acidic in a Changing Climate published on Communications Earth & Environment. See ReadMe.txt for the details on the usage of the data.
DOI: 10.17632/765c9t2rtr.1
title: INFERENCE OF FRACTURING ZONES AND DEGREES OF FLUID CONTENT IN THE LAS TRES VIRGENES VOLCANIC COMPLEX 

description: This repository groupes the data related to the paper: INFERENCE OF FRACTURING ZONES AND DEGREES OF FLUID CONTENT IN THE LAS TRES VIRGENES VOLCANIC COMPLEX BASED ON AN ANALYSIS OF SEISMIC ANISOTROPY.
DOI: 10.17632/tz9jj7pzm9.1
title: Application of theoretical domains framework to explore the enablers and barriers to physical activity among university staff and students: A qualitative study- Transcripts

description: Group interviews were conducted among university staff (administrative, academic, cleaning and catering staff) and students First year undergraduate, post-graduate taught masters, post-graduate PhD and international students) at the University of Derby to understand their perceived enablers and barriers to physical activity. 

The group interview schedule was developed using the 14 domains of the Theoretical Domains Framework (TDF) (social influences; environment context and resources; social/professional role and identity; beliefs about capabilities; beliefs about consequences; Optimism; Intentions; goals; emotion and reinforcement; knowledge; cognitive and interpersonal skills; memory, attention and decision processes; behavioural regulation; and physical skills). The aim of the study was to understand the domains of the TDF that were perceived to be enablers and/or barriers to physical activity engagement among university staff and students.

NB: The names of all the participants used in the transcripts are all pseudonyms.
DOI: 10.17632/bgf77xtw4d.1
title: Biphasic Calcium Phosphate Bioceramic doped with Sr2+ and Ag+: Morphology, Porosity and Phase Analysis Perspective

description: The data consists of raw data materials of morphology, porosity, and phase analysis perspective of Bioceramic Biphasic Calcium Phosphate of both control group and doped with Sr2+ and Ag+. It also consists of XRD and SEM phase analysis perspective both on sample BCP control group and doped with Sr2+ and Ag+ group.
DOI: 10.17632/k4wygddpkd.1
title: Miyake et al., Cell Reports 2023

description: This dataset includes raw WB data in our study.
DOI: 10.17632/k4wygddpkd.2
title: Miyake et al., Cell Reports 2023

description: This dataset includes raw WB data in our study.
DOI: 10.5281/zenodo.6878867
title: MALDI-TOF-MS reference spectra and sequence data for domesticated equids (horse and donkey) collagen for Zooarchaeology by Mass Spectrometry (ZooMS)

description: MALDI-TOF-MS spectra of extracted collagen from modern reference and archaeological bone samples to develop markers for Zooarchaeology by Mass Spectrometry (ZooMS) to distinguish between Equus species. For each sample digestions were done in both trypsin and chymotrypsin separately. Information about the species of the samples can be found in 'sample metadata.csv' file. Information on the extraction and digestion protocol can be found in the associated manuscript. The sequence data contains alignments of the proteins COL1A1 and COL1A2 for available Equus collagen protein sequences. More information on these files can be found in the corresponding manuscript to this dataset.<br>
DOI: 10.5281/zenodo.6878868
title: MALDI-TOF-MS reference spectra and sequence data for domesticated equids (horse and donkey) collagen for Zooarchaeology by Mass Spectrometry (ZooMS)

description: MALDI-TOF-MS spectra of extracted collagen from modern reference and archaeological bone samples to develop markers for Zooarchaeology by Mass Spectrometry (ZooMS) to distinguish between Equus species. For each sample digestions were done in both trypsin and chymotrypsin separately. Information about the species of the samples can be found in 'sample metadata.csv' file. Information on the extraction and digestion protocol can be found in the associated manuscript. The sequence data contains alignments of the proteins COL1A1 and COL1A2 for available Equus collagen protein sequences. More information on these files can be found in the corresponding manuscript to this dataset.<br>
DOI: 10.5281/zenodo.6363113
title: Data for ZooMS analysis of avian fauna from Teotihuacan, Mexico, for Codlin et al. 2022

description: This data is associated with a manuscript on the analysis of avian fauna via Zooarchaeology by Mass Spectrometry (ZooMS) by Codlin et al. (2022)<br> See publication for more details https://doi.org/10.1016/j.jas.2022.105692. Additional data will be made available on ProteomeXchange All samples were processed with HCl, gelatinized at 65ºC in AmBic and digested with trypsin.<br> While some samples underwent purification using a C18 ZipTip, all digested peptide solutions were diluted to various concentrations prior to spotting and analysis on a Bruker Autoflex Speed LRF MALDI-TOF Mass Spectrometer. # Details of files uploaded ## "Sample_details.csv"<br> Lists sample IDs and taxonomic information for modern reference specimens and archaeological specimens selected for LC-MS/MS analysis ## "MALDI_arch_samples.zip"<br> Contains the unprocessed .MZML MALDI spectra for archaeological specimens. File names are composed of:<br> - MCsample#_MALDIplate#_dilutionAND/ORziptip_platelocation ## "MALDI_modern_samples.zip"<br> Contains the unprocessed .MZML MALDI spectra for modern reference specimens.<br> All samples except MC2 are from AMNH collections. See "Sample_details.csv" for sample information File names are composed of:<br> - MCsample#_dilution_speciesidentification_MALDIplatelocation ## "Curated_avian_collagen_fasta.zip"<br> Contains two .fasta files with curated avian COL1a1 and COL1a2 sequences from publicly available data. ##"MS2_images.zip"<br> Contains MS2 images from LC-MS/MS confirmation of biomarker peaks. See "Sample_details.csv" for sample information. File names are composed of:<br> - COL1A2chain_markerlocation_masspeak_sample# ##"MALDI_spectra_images.zip"<br> Contains images of representative spectra for modern and archaeological taxa identified in the study. These spectra were processed and averaged in mMass using the "MALDI-TOF Peptides" settings.<br> Spectra were aligned to more closely fit confirmed biomarker peaks for each sample. See "Sample_details.csv" for sample information. File names are composed of:<br> - Sample# ## "biomarkers_list.txt"<br> Contains the list of peaks and deamidated peaks used in clustering MALDI spectra.
DOI: 10.5281/zenodo.6363114
title: Data for ZooMS analysis of avian fauna from Teotihuacan, Mexico, for Codlin et al. 2022

description: This data is associated with a manuscript on the analysis of avian fauna via Zooarchaeology by Mass Spectrometry (ZooMS) by Codlin et al. (2022)<br> See publication for more details https://doi.org/10.1016/j.jas.2022.105692. Additional data will be made available on ProteomeXchange All samples were processed with HCl, gelatinized at 65ºC in AmBic and digested with trypsin.<br> While some samples underwent purification using a C18 ZipTip, all digested peptide solutions were diluted to various concentrations prior to spotting and analysis on a Bruker Autoflex Speed LRF MALDI-TOF Mass Spectrometer. # Details of files uploaded ## "Sample_details.csv"<br> Lists sample IDs and taxonomic information for modern reference specimens and archaeological specimens selected for LC-MS/MS analysis ## "MALDI_arch_samples.zip"<br> Contains the unprocessed .MZML MALDI spectra for archaeological specimens. File names are composed of:<br> - MCsample#_MALDIplate#_dilutionAND/ORziptip_platelocation ## "MALDI_modern_samples.zip"<br> Contains the unprocessed .MZML MALDI spectra for modern reference specimens.<br> All samples except MC2 are from AMNH collections. See "Sample_details.csv" for sample information File names are composed of:<br> - MCsample#_dilution_speciesidentification_MALDIplatelocation ## "Curated_avian_collagen_fasta.zip"<br> Contains two .fasta files with curated avian COL1a1 and COL1a2 sequences from publicly available data. ##"MS2_images.zip"<br> Contains MS2 images from LC-MS/MS confirmation of biomarker peaks. See "Sample_details.csv" for sample information. File names are composed of:<br> - COL1A2chain_markerlocation_masspeak_sample# ##"MALDI_spectra_images.zip"<br> Contains images of representative spectra for modern and archaeological taxa identified in the study. These spectra were processed and averaged in mMass using the "MALDI-TOF Peptides" settings.<br> Spectra were aligned to more closely fit confirmed biomarker peaks for each sample. See "Sample_details.csv" for sample information. File names are composed of:<br> - Sample# ## "biomarkers_list.txt"<br> Contains the list of peaks and deamidated peaks used in clustering MALDI spectra.
DOI: 10.17632/9pgv3ktk33.1
title: SeSame Aerial Dataset

description: A new aerial sesame weed dataset with various field conditions

We used Agrocam NDVI with the Phantom 3 standard to capture a dataset of aerial sesame weed. The fields where we photographed the sesame crop are located at 31◦ 23′ 29′′ North and 72◦ 22′ 24′′ East in the Ballo Shahabal village in Punjab, Pakistan. 
A sesame crop covering four acres was photographed in August and September 2020 at various development phases, lighting, and soil conditions. Sesame crops in these dataset campaigns range from 16 to 45 days. Images were initially collected at 1920 × 1080 resolution, but for training and testing purposes, they are cropped to 480 × 352 pixels due to hardware and software limitations. Automatic photos are taken every 5s while flying. The drone is flown in manual mode at an average altitude of 15 feet, which equates to a ground sampling distance of 0.33 cm/ pixel, while the photographs are automatically recorded. The three channels of the Agrocam camera are NIR, G, and B, and they provide NGB composite images. Since Agrocam lacks the R (red channel), the green vegetation appears orange in the photos. Using the Image labeler app of MATLAB, we manually labeled the images. The app produces an image of labels in 8-bit unsigned grayscale format. In the labeled image, the background, crop, and weed are given the pixel values 0, 1, and 2, respectively. 

Citation Request: if you use these datasets in your research or projects by any means, please cite following publications. 

1) Patch-wise weeds coarse segmentation mask from aerial imagery of sesame crop
(Published in Computers and Electronics in Agriculture 2022, HEC Recognized W category, Impact factor 6.757, Q1)
2) Towards automated weed detection through two-stage semantic segmentation of tobacco and weed pixels in aerial Imagery 
(Published in Smart Agricultural Technology (A companion journal of Computers and Electronics in Agriculture))
3) A Patch-Image Based Classification Approach for Detection of Weeds in Sugar Beet Crop
(Published in IEEE Access, Impact factor 3.1, Q1)

Acknowledgement Request
This work is funded by the Higher Education Commission of Pakistan and the National center for Robotics and Automation (DF-1009–31). Please Acknowledge.

Steps to Access Mendeley datasets
1.	Click on the link
2.	The link with ask you to sign in or register with institutional email.
3.	Use your institutional/organization email to register and then sign in.
4.	Once sign in, dataset will be visible in compressed folders
5.	Download and unzip/umcompress folder
6.	Use dataset in your research as you see fit (folders contains original images, and their labeled groundtruths, along with binary vegetation masks. In groundtruths background have label value of 0, crop have label 1 and weeds have label of 2. maskref subfolders shows labelled data for visualization)

Find More datasets and published articles in Related Links
DOI: 10.17632/9pgv3ktk33.2
title: SeSame / Weed Aerial Dataset

description: Sesame-weed aerial dataset was recorded with the Phantom 3 standard drone and Agrocam NDVI. 
Photographs of sesame fields were taken near Ballo Shahabal, Jhang, Punjab, Pakistan. These campaigns range in length from 16 to 45 days for the sesame crop. A ground sampling distance of 0.33 cm/pixel is achieved by flying the drone at an average height of 15 feet. The three channels of the Agrocam camera—NIR, G, and B—when combined, produce NGB composite images. Agrocam lacks the R (red channel), therefore the green grass appears orange in the pictures. Pictures were captured for both datasets at a resolution of 1920 × 1080 pixels, however for faster processing, we cropped non-overlapping images to a size of 480 x 352 pixels. Using the MATLAB Image Labeler app, we labelled the photos by hand. A label image in 8-bit unsigned grayscale is produced by the software. The depicted image has the pixel values 0, 1, and 2 assigned to the background, crop, and weed, respectively. Since there are no aerial dataset available publicly to the best of our knowledge, these datasets could be utilized to support further research in Sesame crop.
No.	Field   Attribute/ images	   Timing Around / Date Captured	     Soil Condition
1	S3	  Test / 120	           6:30am / 09 Aug 2020	                     Before irrigation
2	S1	  Train / 600	           8:30am / 09 Aug 2020	                     Before irrigation
3	S1	  Test / 120	           11:30am / 10 Aug 2020	             Before irrigation
4	S1	  Test / 120	           6:00pm / 19 Aug 2020	                     Before irrigation
5	S4	  Test / 120	           8:30am / 21 Aug 2020	                     After irrigation 
6	S2	  Train / 600	           2:00pm / 21 Aug 2020	                     After irrigation 
7	S3	  Test / 120	           3:30pm / 28 Aug 2020	                     After irrigation 
8	S4	  Test / 120	           6:00pm / 06 Sep 2020	                     After irrigation 

Citation Request: if you use these datasets in your research or projects by any means, please cite following publications. 
1) Patch-wise weeds coarse segmentation mask from aerial imagery of sesame crop
(Published in Computers and Electronics in Agriculture 2022, HEC Recognized W category, Impact factor 6.757, Q1)
2) Towards automated weed detection through two-stage semantic segmentation of tobacco and weed pixels in aerial Imagery 
(Published in Smart Agricultural Technology (A companion journal of Computers and Electronics in Agriculture))
3) A Patch-Image Based Classification Approach for Detection of Weeds in Sugar Beet Crop
(Published in IEEE Access, Impact factor 3.1, Q1)

Acknowledgement Request
This work is funded by the Higher Education Commission of Pakistan and the National center for Robotics and Automation (DF-1009–31). Please Acknowledge.

Find More data  and research papers in related links attached.
DOI: 10.17632/6y7hjyb8px.1
title: SHy-Cam raw data

description: This is an online repository for the raw data used for generating the figures and videos for the pubilication: SHy-Cam: a Single-shot Hyperspectral Phasor Camera for fast, multi-color fluorescence microscopy.
All files are .ims format.  To view the data, use Imaris Viewer which can be downloaded from website https://imaris.oxinst.com/imaris-viewer
DOI: 10.17632/3rj9vv3hrk.1
title: What a single electroencephalographic (EEG) channel can tell us about patients with dementia due to Alzheimer's disease 

description: Scientific Research for publishing the article
DOI: 10.17632/k4pd47db5s.1
title: Urdu Sarcastic Tweets Dataset

description: This dataset is part of the research "Towards Computational Sarcastic Tweets identification: An open-Source Dataset and Developmental Framework"

It contains 19955 rows and columns (features), namely "urdu_tweets" and "is_sarcastic' (labels with 0 and 1, where 1 denotes a sarcastic tweet ). This dataset can be used for sentiment analysis, specifically for sarcasm detection in Urdu tweets
DOI: 10.17632/bzcrpt47zz.1
title: Patient Safety Culture

description: A study to determine the patient safety culture levels of those working in the operating room environment. The Turkish version of the Hospital Survey on Patient Safety Culture (HSOPSC) was administered to nurses, anesthesia technicians, assistant physicians, and specialist physicians working in the Operating Rooms (n=258) of two university hospitals in Konya, a large city in Anatolian region of Turkey. HSOPSC includes 42 items (12 dimensions). Eighteen of the 42 items belonging to 12 dimensions were worded negatively. Survey item was measured on a 5-point Likert scale (strongly disagree to strongly agree and never to always). The options "disagree" and "strongly disagree" were coded as 0, and the options "agree" and "strongly agree" were coded as 1. In addition, participants were asked to rate the area in which they worked in terms of patient safety and to indicate how many events they had reported in the last 12 months. In the last part of the survey, 5 questions were asked to the participants to provide background information about themselves. Average percent positive response to the 42 items was low (41%, n=258). While there was no change in one dimension of the questionnaire compared to 2008; there was a positive change in 8 dimensions and a negative change in 3 dimensions. All 12 dimensions were lower than the Agency for Healthcare Research and Quality score.
DOI: 10.17632/ctzn8mf42n.1
title: ALL-tRNAseq enables robust tRNA profiling in tissue samples 

description: Original blot and gel scans from Scheepbouwer et al, Genes and Development, 2023
doi: 10.1101/gad.350233.122