cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p9py4rr0
title: Archive of Chirp Subbottom Profile Data Collected in 2022 From Seven Mile Island, New Jersey

description: As part of the Coastal Sediment Availability and Flux project, scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) conducted a nearshore geophysical survey to map the shoreface and inner shelf, as well as characterizing stratigraphy near Seven Mile Island, New Jersey (NJ) in April and May 2022. The objective of the project is to improve the understanding of barrier island geomorphic evolution and the sediment fluxes that drive that evolution over geologic and historic time scales. Additionally, the purpose of this study was to support an assessment of barrier island resilience after Hurricane Sandy (U.S. landfall was October 29, 2012). Collecting geophysical data can help researchers to identify relationships between the geologic history of the island, its present-day morphology, and sediment distribution. High-resolution geophysical data collected along this barrier island can further the analyses and geomorphological interpretations of this and other coastal systems, improving researchers understanding of coastal response and evolution. This data release serves as an archive of subbottom profile and navigation data collected April 29-May 2, 2022, offshore of Seven Mile Island, NJ, during USGS Field Activity Number 2022-309-FA. Data products, including chirp subbottom profile data and images, survey trackline maps, location data with formal Federal Geographic Data Committee (FGDC) metadata, and field logs are provided. Coastal bathymetry and sound velocity data were also collected during this geophysical survey and are provided in another data release (Lyons and others, 2023). Lyons, E.O., DeWitt, N.T., Stalk, C.A., Reynolds, B.J., Farmer, A.S., Bernier, J.C., Galbraith, B.A., Wei, E.A., and Miselis, J.L., 2023, Coastal Single-beam bathymetry data collected in 2022 off Seven Mile Island, New Jersey: U.S. Geological Survey data release, https://doi.org/10.5066/P9P07T3W.
DOI: 10.5281/zenodo.10066244
title: Vertical hydrography profiles from CTD rosette during ARCTOS Polar Front cruise 2021-05

description: PolarFront 2021-05 CTD hydrography profiles for 27 stations
During the May 2021 cruise, hydrographic measurements were taken using a Sea-Bird Scientific SBE 911plus CTD instrument, which was lowered into the water and sampled the whole water column until 5-10 m above the bottom.
The CTD is equipped with instruments measuring conductivity, temperature, pressure,oxygen, fluorescence, turbidity and PAR, and mounted on a rosette with 12 Niskin bottles for water sampling
Only downcast values are used to avoid errors caused by turbulence on the upcast. Basic data processing were done using Sea-Bird Scientific software SBE Data Processing (v7.26.4.0): converting to physical units, filtering for outliers, and bin-averaging over 1 m bins.
The final data accuracy is ±0.5 dbar for pressure, ±0.002˚C for sea water temperature and ±0.003 for sea water salinity.
 File types
Each station number has multiple data files from various steps of processing.
Notice that the *.xls are plain ascii text files with tab-separated values. These may be converted to utf-8 using `iconv -f iso8859-1 -t utf8`

*.bl = Bottle log information. Output bottle file, containing bottle firing sequence number and position, data, time, and beginning and ending scan numbers for each bottle closure. Beginning and ending scan numbers correspond to approximately 1.5-second duration for each bottle.
*.btl = Bottle files. Averaged data for each bottle.
*.cnv = Data converted to engineering units.
*hdr = Header information.
.hex = Hexadecimal data file.
*.xls = Converted data binned to 1 m as ascii text (tsv).
*.xlmcon = Instrument configuration.
*_bin.cnv = Converted data binned to 1 m as ascii data.
*_bin.wmf = Graphic of converted and 1m-binned data. *_RAW.cnv = Raw data as text file.
DOI: 10.5281/zenodo.10066245
title: Vertical hydrography profiles from CTD rosette during ARCTOS Polar Front cruise 2021-05

description: PolarFront 2021-05 CTD hydrography profiles for 27 stations
During the May 2021 cruise, hydrographic measurements were taken using a Sea-Bird Scientific SBE 911plus CTD instrument, which was lowered into the water and sampled the whole water column until 5-10 m above the bottom.
The CTD is equipped with instruments measuring conductivity, temperature, pressure,oxygen, fluorescence, turbidity and PAR, and mounted on a rosette with 12 Niskin bottles for water sampling
Only downcast values are used to avoid errors caused by turbulence on the upcast. Basic data processing were done using Sea-Bird Scientific software SBE Data Processing (v7.26.4.0): converting to physical units, filtering for outliers, and bin-averaging over 1 m bins.
The final data accuracy is ±0.5 dbar for pressure, ±0.002˚C for sea water temperature and ±0.003 for sea water salinity.
 File types
Each station number has multiple data files from various steps of processing.
Notice that the *.xls are plain ascii text files with tab-separated values. These may be converted to utf-8 using `iconv -f iso8859-1 -t utf8`

*.bl = Bottle log information. Output bottle file, containing bottle firing sequence number and position, data, time, and beginning and ending scan numbers for each bottle closure. Beginning and ending scan numbers correspond to approximately 1.5-second duration for each bottle.
*.btl = Bottle files. Averaged data for each bottle.
*.cnv = Data converted to engineering units.
*hdr = Header information.
.hex = Hexadecimal data file.
*.xls = Converted data binned to 1 m as ascii text (tsv).
*.xlmcon = Instrument configuration.
*_bin.cnv = Converted data binned to 1 m as ascii data.
*_bin.wmf = Graphic of converted and 1m-binned data. *_RAW.cnv = Raw data as text file.
DOI: 10.34740/kaggle/dsv/6863977
title: 2021 World Population (updated daily)
DOI: 10.25403/upresearchdata.24458794
title: The voices of female postgraduate educators

description: The model builds on the knowledge of women under-representative in South African context, and it contributes to work in the fields of educational sector particularly in leadership position. Effective educational leadership involves holding knowledge, skills and understanding of successful leadership skills together with the personal capability to successfully implement those skills.
DOI: 10.25403/upresearchdata.24458794.v1
title: The voices of female postgraduate educators

description: The model builds on the knowledge of women under-representative in South African context, and it contributes to work in the fields of educational sector particularly in leadership position. Effective educational leadership involves holding knowledge, skills and understanding of successful leadership skills together with the personal capability to successfully implement those skills.
DOI: 10.5523/bris.1zx0oxh6rbenh27ow8cpduri11
title: How Do You Move?

description: These are the videos from the ARC West "How Do You Move?" project. This dataset is licensed under the CC0 1.0 Public Domain Dedication (https://creativecommons.org/publicdomain/zero/1.0/) This dataset is cited in the NIHR Open Research article "How Do You Move? Everyday stories of physical activity": https://doi.org/10.3310/nihropenres.13399.1
DOI: 10.6084/m9.figshare.24486954
title: GO terms from A distinct neurogenomic response to a tradeoff between social challenge and opportunity in male sticklebacks (<i>Gasterosteus aculeatus</i>)

description: Significantly enriched GO terms identified from DEG lists from each treatment and brain region
DOI: 10.6084/m9.figshare.24486960
title: Gene identities from A distinct neurogenomic response to a tradeoff between social challenge and opportunity in male sticklebacks (<i>Gasterosteus aculeatus</i>)

description: Gene IDs of differentially expressed genes identified from each treatment and brain region
DOI: 10.6084/m9.figshare.24486960.v1
title: Gene identities from A distinct neurogenomic response to a tradeoff between social challenge and opportunity in male sticklebacks (<i>Gasterosteus aculeatus</i>)

description: Gene IDs of differentially expressed genes identified from each treatment and brain region
DOI: 10.5281/zenodo.10066549
title: parameter and coordinate files to start an MD simulation of Haloferax volcanii ADH2

description: parameter and coordinate files to start an MD simulation of Haloferax volcanii ADH2 in Amber
description: halophilic proteins ionic liquids
DOI: 10.5281/zenodo.8283100
title: parameter and coordinate files to start an MD simulation of Haloferax volcanii ADH2

description: parameter and coordinate files to start an MD simulation of Haloferax volcanii ADH2 in Amber
description: halophilic proteins ionic liquids
DOI: 10.5281/zenodo.8283101
title: parameter and coordinate files to start an MD simulation of Haloferax volcanii ADH2

description: as file name says, parameter and coordinate files to start an MD simulation of Haloferax volcanii ADH2 in Amber
description: halophilic proteins ionic liquids
DOI: 10.25403/upresearchdata.24450094
title: Landscape ecology analysis and code for genome-wide association study

description: These datasets were utilised in a landscape genomic analysis and genome-wide association study (GWAS) of Bonsmara cattle in South Africa. The analyses were further used to investigate growth performance of cattle from the Eastern Cape, Free State and North-West provinces. The single nucleotide polymorphisms (SNP) genotypic data was obtained from Bonsmara stud breeders through SA StudBook and is thus the property of the breeders. The IDs of the animals included in the study were changed to protect the privacy of the breeders. The SNP genotype and weather datasets were used to conduct a landscape genomic analysis on the 3 provincial groups of cattle. The datasets were analyzed together with a landscape ecology analysis (LEA) package, that was developed for RStudio. The output results consisted of candidate loci that the LEA identified to be associated with the environmental variables included in the weather datasets. The Fst values for each candidate loci list (three lists in total; one for each province) were calculated and the 20 SNPs (20 SNPs per candidate loci list; 60 SNPs in total) with the highest values were chosen for gene annotation. The objective of gene annotation was to determine if any of the associated genes were linked to growth performance in cattle. Nine out of the 60 annotated SNPs were found to be associated with genes that had previously been reported in cattle and linked to growth performance. The phenotypic datasets were used alongside the SNP genotypic datasets in a genome-wide association study (GWAS). The GWAS was conducted in the PLINK software and the results were plotted on Manhattan Plots using RStudio software packages. The GWAS results were used comparatively to the candidate loci results from the LEA analysis. There were no commonly associated loci identified between the GWAS and the LEA. The PLINK and RStudio codes used in this study are available in a text file.
DOI: 10.25403/upresearchdata.24450094.v1
title: Landscape ecology analysis and code for genome-wide association study

description: These datasets were utilised in a landscape genomic analysis and genome-wide association study (GWAS) of Bonsmara cattle in South Africa. The analyses were further used to investigate growth performance of cattle from the Eastern Cape, Free State and North-West provinces. The single nucleotide polymorphisms (SNP) genotypic data was obtained from Bonsmara stud breeders through SA StudBook and is thus the property of the breeders. The IDs of the animals included in the study were changed to protect the privacy of the breeders. The SNP genotype and weather datasets were used to conduct a landscape genomic analysis on the 3 provincial groups of cattle. The datasets were analyzed together with a landscape ecology analysis (LEA) package, that was developed for RStudio. The output results consisted of candidate loci that the LEA identified to be associated with the environmental variables included in the weather datasets. The Fst values for each candidate loci list (three lists in total; one for each province) were calculated and the 20 SNPs (20 SNPs per candidate loci list; 60 SNPs in total) with the highest values were chosen for gene annotation. The objective of gene annotation was to determine if any of the associated genes were linked to growth performance in cattle. Nine out of the 60 annotated SNPs were found to be associated with genes that had previously been reported in cattle and linked to growth performance. The phenotypic datasets were used alongside the SNP genotypic datasets in a genome-wide association study (GWAS). The GWAS was conducted in the PLINK software and the results were plotted on Manhattan Plots using RStudio software packages. The GWAS results were used comparatively to the candidate loci results from the LEA analysis. There were no commonly associated loci identified between the GWAS and the LEA. The PLINK and RStudio codes used in this study are available in a text file.
DOI: 10.6084/m9.figshare.24486985
title: PSInSAR Points for Archaeology

description: The data is shp format. This data was produced from sentinel-1 satellite images with the StaMPS PSInSAR method.
DOI: 10.15480/336.5213
title: Role of slice thickness quantification in the 3D reconstruction of FIB tomography data of nanoporous materials

description: This dataset contains synthetic structures of hierarchical nanoporous gold, which mimics real hierarchical nanoporous gold structures, segmentation results and repositioned interpolated structures of the real hierarchical nanoporous gold dataset and trained weights of machine learning model used for interpolation. For more information, please refer to the published research article: Role of slice thickness quantification in the 3D reconstruction of FIB tomography data of nanoporous materials.
DOI: 10.5281/zenodo.10066459
title: Synthbuster: Towards Detection of Diffusion Model Generated Images

description: Dataset described in the paper "Synthbuster: Towards Detection of Diffusion Model Generated Images" (Quentin Bammey, 2023, Open Journal of Signal Processing)
This dataset contains synthetic, AI-generated images from 9 different models:

DALL·E 2
DALL·E 3
Adobe Firefly
Midjourney v5
Stable Diffusion 1.3
Stable Diffusion 1.4
Stable Diffusion 2
Stable Diffusion XL
Glide
 
1000 images were generated per model. The images are loosely based on raise-1k images (Dang-Nguyen, Duc-Tien, et al. "Raise: A raw images dataset for digital image forensics." Proceedings of the 6th ACM multimedia systems conference. 2015.). For each image of the raise-1k dataset, a description was generated using the Midjourney /describe function and CLIP interrogator (https://github.com/pharmapsychotic/clip-interrogator/). Each of these prompts was manually edited to produce results as photorealistic as possible and remove living persons and artists names.
 
In addition to this, parameters were randomly selected within reasonable values for methods requiring so.
The prompts and parameters used for each method can be found in the `prompts.csv` file.
 
This dataset can be used to evaluate AI-generated image detection methods. We recommend matching the generated images with the real Raise-1k images, to evaluate whether the methods can distinguish the two of them. Raise-1k images are not included in the dataset, they can be downloaded separately at (http://loki.disi.unitn.it/RAISE/download.html).
 
None of the images suffered degradations such as JPEG compression or resampling, which leaves room to add your own degradations to test robustness to various transformation in a controlled manner.
DOI: 10.5281/zenodo.10066460
title: Synthbuster: Towards Detection of Diffusion Model Generated Images

description: Dataset described in the paper "Synthbuster: Towards Detection of Diffusion Model Generated Images" (Quentin Bammey, 2023, Open Journal of Signal Processing)
This dataset contains synthetic, AI-generated images from 9 different models:

DALL·E 2
DALL·E 3
Adobe Firefly
Midjourney v5
Stable Diffusion 1.3
Stable Diffusion 1.4
Stable Diffusion 2
Stable Diffusion XL
Glide
 
1000 images were generated per model. The images are loosely based on raise-1k images (Dang-Nguyen, Duc-Tien, et al. "Raise: A raw images dataset for digital image forensics." Proceedings of the 6th ACM multimedia systems conference. 2015.). For each image of the raise-1k dataset, a description was generated using the Midjourney /describe function and CLIP interrogator (https://github.com/pharmapsychotic/clip-interrogator/). Each of these prompts was manually edited to produce results as photorealistic as possible and remove living persons and artists names.
 
In addition to this, parameters were randomly selected within reasonable values for methods requiring so.
The prompts and parameters used for each method can be found in the `prompts.csv` file.
 
This dataset can be used to evaluate AI-generated image detection methods. We recommend matching the generated images with the real Raise-1k images, to evaluate whether the methods can distinguish the two of them. Raise-1k images are not included in the dataset, they can be downloaded separately at (http://loki.disi.unitn.it/RAISE/download.html).
 
None of the images suffered degradations such as JPEG compression or resampling, which leaves room to add your own degradations to test robustness to various transformation in a controlled manner.
DOI: 10.5281/zenodo.10066470
title: Parthenolide induces ROS-dependent cell death in human gastric cancer cells

description: Excel 1 - The original data-Parthenolide induces ROS-dependent cell death in human gastric cancer cellanalysis.
Supplemental Table 1 -  Post-hoc Dunn's test for the effect of PN on the cell viability of MGC-803 cell.
Supplemental Table 2 - Post-hoc Dunn's test for the effect of PN on the cell colonies of MGC-803 cells.
Supplemental Table 3 - Post-hoc Dunn's test for the effect of PN and catalase on ROS Generation of MGC-803 cells
Supplemental Table 4 - Post-hoc Dunn's test for the effect of PN and catalase on cell viability of MGC-803 cells
Excel 2 - gene_sample_count from MGC-803 cells treated with DMSO compared with counterparts treated with PN
DOI: 10.5281/zenodo.10066469
title: Parthenolide induces ROS-dependent cell death in human gastric cancer cells

description: Excel 1 - The original data-Parthenolide induces ROS-dependent cell death in human gastric cancer cellanalysis.
Supplemental Table 1 -  Post-hoc Dunn's test for the effect of PN on the cell viability of MGC-803 cell.
Supplemental Table 2 - Post-hoc Dunn's test for the effect of PN on the cell colonies of MGC-803 cells.
Supplemental Table 3 - Post-hoc Dunn's test for the effect of PN and catalase on ROS Generation of MGC-803 cells
Supplemental Table 4 - Post-hoc Dunn's test for the effect of PN and catalase on cell viability of MGC-803 cells
Excel 2 - gene_sample_count from MGC-803 cells treated with DMSO compared with counterparts treated with PN
DOI: 10.5281/zenodo.7044192
title: A database of migration records between countries established by African-Eurasian migratory landbirds and raptors

description: Tracking studies were reviewed to compile migration records of African-Eurasian migratory landbirds and raptors. A migration record corresponds to the connection established by an individual bird as it migrates between a breeding country in Europe and a nonbreeding country in sub-Saharan Africa. Each migration record includes: (i) species; (ii) breeding country (i.e., the country in Europe where the bird was tagged during the breeding season); and (iii) nonbreeding country (i.e., the country in sub-Saharan African where the bird stayed the longest). Data were extracted preferably from text and tables. When not explicitly reported, locations were estimated from the plotted maps (e.g., through density of positions). In cases where it was unclear which of several non-breeding countries should be considered as the most important, the southernmost country was selected. For birds tracked over multiple years, only the first complete migration reported were considered. Individuals whose non-breeding country was not possible to extract were excluded. Also excluded were records whose non-breeding geographical positions (i.e., longitude/latitude) reported in the studies were >1000 km outside of the known nonbreeding range of the species and in a country where the species is not known to occur. Details in Appendices S3 & S4.
DOI: 10.5281/zenodo.7044193
title: A database of migration records between countries established by African-Eurasian migratory landbirds and raptors

description: This database accompanies the study Guilherme et al., 2022 (https://doi.org/10.1111/cobi.14002). Tracking studies were reviewed to compile migration records of African-Eurasian migratory landbirds and raptors. A migration record corresponds to the connection established by an individual bird as it migrates between a breeding country in Europe and a nonbreeding country in sub-Saharan Africa. Each migration record includes: (i) species; (ii) breeding country (i.e., the country in Europe where the bird was tagged during the breeding season); and (iii) nonbreeding country (i.e., the country in sub-Saharan African where the bird stayed the longest). Data were extracted preferably from text and tables. When not explicitly reported, locations were estimated from the plotted maps (e.g., through density of positions). In cases where it was unclear which of several non-breeding countries should be considered as the most important, the southernmost country was selected. For birds tracked over multiple years, only the first complete migration reported were considered. Individuals whose non-breeding country was not possible to extract were excluded. Also excluded were records whose non-breeding geographical positions (i.e., longitude/latitude) reported in the studies were &gt;1000 km outside of the known nonbreeding range of the species and in a country where the species is not known to occur. Details in Appendices S3 & S4.
description: {"references": ["Guilherme, J.L., Jones, V.R., Catry, I., Beal, M., Dias, M.P., Oppel, S., Vickery, J.A., Hewson, C.M., Butchart, S.H.M. & Rodrigues, A.S.L. (2022). Connectivity between countries established by landbirds and raptors migrating along the African-Eurasian flyway. Conservation Biology. https://doi.org/10.1111/cobi.14002"]}
DOI: 10.5281/zenodo.7273507
title: A database of migration records between countries established by African-Eurasian migratory landbirds and raptors

description: Tracking studies were reviewed to compile migration records of African-Eurasian migratory landbirds and raptors. A migration record corresponds to the connection established by an individual bird as it migrates between a breeding country in Europe and a nonbreeding country in sub-Saharan Africa. Each migration record includes: (i) species; (ii) breeding country (i.e., the country in Europe where the bird was tagged during the breeding season); and (iii) nonbreeding country (i.e., the country in sub-Saharan African where the bird stayed the longest). Data were extracted preferably from text and tables. When not explicitly reported, locations were estimated from the plotted maps (e.g., through density of positions). In cases where it was unclear which of several non-breeding countries should be considered as the most important, the southernmost country was selected. For birds tracked over multiple years, only the first complete migration reported were considered. Individuals whose non-breeding country was not possible to extract were excluded. Also excluded were records whose non-breeding geographical positions (i.e., longitude/latitude) reported in the studies were >1000 km outside of the known nonbreeding range of the species and in a country where the species is not known to occur. Details in Appendices S3 & S4.