cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.15170853.v5
title: RD Dataset

description: ** RD DATASET ** RD dataset was created by the images from the melanoma community on the internet (<sub>https://reddit.com/r/melanoma</sub>). Consecutive images were included using a python library (<sub>https://github.com/aliparlakci/bulk-downloader-for-reddit</sub>) from Jan 25, 2020, to July 30, 2021. The ground truth was voted by four dermatologists and one plastic surgeon while referring to the chief complaint and brief history. A total of 1,282 images (1,201 cases) were finally included. Because of the deleted cases by users, the links of 860 cases are valid in July 2021. <br> 1. RD_RAW.xlsx The download links and ground truth of the RD dataset are included in this excel file. In addition, the raw data of the AI (Model Dermatology Build2021 - https://modelderm.com) and 32 laypersons were included. <br> 2. v1_public.zip "v1_public.zip" includes the 1,282 lesional images (full-size). The 24 images that were excluded from the study are also available. <br> 3. v1_private.zip is not available here. Wide field images are not available here. If the archive is needed for research purpose, please email to Dr. Han Seung Seog (whria78@gmail.com) or Dr Cristian Navarrete-Dechent (ctnavarr@gmail.com). <br> References - The Degradation of Performance of a State-of-the-art Skin Image Classifier When Applied to Patient-driven Internet Search - Scientific Report (in-press) <br> <br> ** Background normal test with the ISIC images ** ISIC dataset (<sub>https://www.isic-archive.com</sub>; Gallery -&gt; 2018 JID Editorial images; 99 images; ISIC_0024262 and ISIC_0024261 are identical images and ISIC_0024262 was skipped) was used for the background normal test. We defined 10% area rectangle crop to “specialist-size crop”, and 5% area rectangle crop to “layperson-size crop” a) S-crops.zip: specialist-size crops<br> Format: CROPNO_AGE(0~99)_GENDER(1=male,0=female)[m]_FILENAME.png b) L-crops.zip: layperson-size crops<br> Format: CROPNO_AGE(0~99)_GENDER(1=male,0=female)[m]_FILENAME.png c) result_S.zip: Background normal test result using the specialist-size crops<br> d) result_L.zip; Background normal test result using the layperson-size crops <br> Reference - Automated Dermatological Diagnosis: Hype or Reality? - https://doi.org/10.1016/j.jid.2018.04.040 - Multiclass Artificial Intelligence in Dermatology: Progress but Still Room for Improvement - https://doi.org/10.1016/j.jid.2020.06.040
DOI: 10.17632/s2b95wd4f2
title: FT ICR-MS data for The overlooked role of deep soil in dissolved organic carbon transformation and CO2 emissions: Evidence from incubation experiments and FT-ICR MS characterization

description: a data base for all elemental formulas, mass peak intensities and detected masses
DOI: 10.17633/rd.brunel.12205409.v1
title: Family planning study 1

description: Because prior parenting experiences (e.g., parity, the sex of current children) often change individuals’ fertility intentions (Balbo, Billari, & Mills, 2013), this work focused exclusively on fertility decision-making practices of childless individuals. The sample was also limited to individuals of reproductively viable age; defined as ages 18-45 (see Toulemon & Testa, 2005). The current work obtained an internet-based sample of 241 participants, with an average age of 22 years (<i>SD</i> = 5.33), through both general population and university sources (Mechanical Turk, N = 80; SONA [university students], N = 55; Reddit, N = 106). All participation was via Qualtrics software. Thirty-five participants indicated that they were parents and were therefore excluded from further analysis (resulting in N = 206). Mechanical Turk participants were compensated 25 cents for their participation, SONA participants were enrolled in a large Midwestern University and compensated with course credit for their participation, and Reddit participants did not receive any compensation for their participation. The current sample was predominantly female (59.7%), White/Non-Hispanic (80.6%), heterosexual (87.4%), and involved in a romantic relationship (46.6%).
DOI: 10.6084/m9.figshare.12328424.v1
title: Alcaraz et al. 2020.xlsx

description: Dataset used for the article "The energetic costs of living in the surf and impacts on zonation of shell use in hermit crabs"<b>.</b>
DOI: 10.6084/m9.figshare.22269070.v1
title: Supplementary Material for: Waldenström macroglobulinemia and non-IgM-type lymphoplasmacytic lymphoma are genetically similar

description: Introduction Waldenström macroglobulinemia (WM) represents a subset of lymphoplasmacytic lymphoma (LPL) with the immunoglobulin (Ig)M paraprotein. MYD88 L265P and CXCR4 mutations are common mutations in WM patients, and mutations in ARID1A and KMT2D (MLL2) have also been reported. However, little information has been accumulated on genetic changes in LPL with other paraproteins like IgG. Methods We therefore aimed to evaluate genetic differences between WM and LPL with non-IgM paraprotein (non-IgM-type LPL) using targeted next-generation sequencing (NGS) in 20 Japanese patients (10 with WM, 10 with non-IgM-type LPL). Results Mutations were detected in ARID1A (10%), CXCR4 (20%), MYD88 (90%), and KMT2D (0%) for WM patients, and in ARID1A (10%), CXCR4 (20%), MYD88 (70%), and KMT2D (10%) for non-IgM-type LPL patients. No significant differences were identified. No mutations were detected in NOTCH2, PRDM1, CD274 (PD-L1), PDCD1LG2 (PD-L2), RAG2, MYBBP1A, TP53, or CD79B. Discussion Mutant allele frequency in MYD88 L265P did not differ significantly between WM and non-IgM-type LPL. Most mutations detected by NGS were subclonal following MYD88 L265P, although one non-IgM-type LPL patient harbored only CXCR4 S338X mutation. Our NGS analyses reveal genetic characteristics in LPL patients and suggest genetic similarities between these two subsets of LPL, WM and non-IgM-type.
DOI: 10.6084/m9.figshare.22691335.v2
title: Untitled Item

description: The MIDOG++ dataset represents an extension of the data set used in the MIDOG 2021 and 2022 challenges. We provide region of interest images from 503 histological specimens of seven different tumor types with variable morphology: breast carcinoma, lung carcinoma, lymphosarcoma, neuroendocrine tumor, cutaneous mast cell tumor, cutaneous melanoma, and (sub)cutaneous soft tissue sarcoma. The human and canine samples were processed and stained at different human and veterinary pathology laboratories with standard H&E dye and digitized with different digital whole slide image scanners. We provide labels for 11,937 mitotic figures that have been differentiated against 14,351 imposter cells in a blinded consensus by two pathologists and a final decision by a third pathologist for disagreed labels.
DOI: 10.6084/m9.figshare.24578689.v1
title: <b>STEM Clubs and their role in the future of education</b>

description: <b>Background and Context:</b> STEM Clubs in higher education represent authentic real-life approaches to assess computational thinking (CT) skills
DOI: 10.6084/m9.figshare.28826786.v1
title: DDoS Attack Detection using SDN Dataset

description: DDoS Attack Detection using SDN Dataset
DOI: 10.6084/m9.figshare.28840898.v1
title: Supplementary Materials for Schechter et al. (2025) Brief Communication

description: Supplementary information, figures, and tables for Schechter et al. (2025) Brief Communication. Learn more about this dataset and the study here:https://merenlab.org/data/ecophylo-ribosomal-proteins
DOI: 10.6084/m9.figshare.12401546.v1
title: 2 coupled players

description: Two coupled players, with high coupling strength when increasing the delay linearly.*.aiff = raw sounds files of the experiment*.mat = analyzed data of one of the measurements showing the phase of each players<br>*.m = code file for analyzing the data and making the figure*.fig = the figure in the paper
DOI: 10.6084/m9.figshare.24208431.v1
title: Supporting Information for "Comparing the Structures and Photophysical Properties of Two Charge Transfer Co-crystals"

description: There are two main folders in this directory, named NpeTCNB and NpeTCNQ.<br>Each folder of these two has three folders named Ground_State_Calculations, TDDFT_Calculations, and PBC_Calculation. These folders has the structures that are reported in the manuscript.<br>The naming convention used is as follows:<br>1) The conformers name start with Str and with a number, ex: Str1, Str2, etc...<br>2) The functional is also included in the conformer name, ex: Str1-B3LYP, Str1-CAM-B3LYP<br>3) The basis sets are labeled as: a) B0 for 6-31G(d,p) b) B1 for 6-31+G(d,p) c) B2 for 6-311+G(d,p)<br>4) When empirical dispersion is used, the file name has "GD3" in the name, ex: Str1-CAM-B3LYP-B0-GD3.log
DOI: 10.6084/m9.figshare.26023627.v2
title: Data and code for Hurtado et al. 2024 - Generalism in species interactions is more the consequence than the cause of ecological success

description: Generalism in species interactions is more the consequence than the cause of ecological successPilar Hurtado, Gregorio Aragón, Marina Vicente, Bo Dalsgaard, Boris R. Krasnov & Joaquín CalatayudGeneralism in resource use is commonly considered a critical driver of population success, species distribution, and extinction risk. This idea can be questioned, as generalism may be a result, rather than the cause, of species abundance and range size. We test these contrasting causal hypotheses focusing on host use in three databases encompassing ~44.000 mutualistic (hummingbird-plant), commensalistic (lichen-plant), and parasitic (flea-mammal) interactions in 617 ecological communities across the Americas and Eurasia. Across all interaction types, our analyses indicate that range size and abundance influence the probability of encountering hosts and set the arena for species to express generalism potentials or adapt to new hosts. Hence, our findings support the hypothesis that generalism is a consequence of species ecological success. This highlights the importance of ecological opportunity in driving species characteristics considered key for their survival and conservation.
DOI: 10.6084/m9.figshare.28877501.v4
title: <b>Minimal Dataset for Study on Stress, Cardiovascular Risk, and Socioeconomic Factors</b>

description: This CSV‐formatted dataset contains 38 variables across 285 participants, covering composite stress domain scores (financial, neighborhood, discrimination), health‐related quality of life (SF‐12 PCS/MCS), socioeconomic covariates (income, education, employment), demographic indicators, and latent class profile memberships. Value labels for categorical variables are embedded, and all personal identifiers have been removed.
DOI: 10.17632/nvs3msy7dc
title: Brazil_household_electrification_2024
DOI: 10.6084/m9.figshare.1455478.v14
title: Seattle Street Clock Database

description: This spreadsheet contains three tables: Clocks, Owners, and Evidence - Clocks tab's name column and Owners tab's corporation column keys in Evidence. - Evidence is a list of every unique fact I have via newspaper, photograph, document, or otherwise about when a clock was in a particular location, and who owned it at that time. v1 has 1033 pieces of evidence. Please contact me if you have additions or find errors in my data. I will be refreshing this periodically. I constantly find new resources. Along with my friend Paul Middents we have proven the connection between many owners, and I know that there will be more discoveries to show which clocks were later owned by another jeweler.<br><br>A few notes on fields: <br>- In Evidence, "Var_Year" indicates a +/- value on the Source_Year. Empty means exact. 0 means it was the first year that the clock was at that location. - If the Source_Type is Photograph, Source_ID has a value, and there is no URL, then I have the photo on my harddrive but can't post it. - In Clocks, if the Unique field is Yes, then I'm sure that this clock cannot be matched with any other clocks in the list. There are 114 clocks in the list which is excessive. It should be down closer to 60. - There are a growing number of sign and facade clocks in the database. On the linked page I will maintain a list of open questions, and areas I know I need to work on.
DOI: 10.6084/m9.figshare.24941502.v1
title: <b>CDTD: A global database for crop domestication traits</b>

description: Here, we extracted data from 79 publications reporting comparative studies of crop domestication traits worldwide and built a database (CDTD) containing 56 traits from 58 crops. This database includes 1492 records and information on their geography and experimental environment. CDTD is a big dataset of crop domestication traits, which provides information for crop domestication research and is helpful for future crop breeding and crop re-domestication.
DOI: 10.6084/m9.figshare.29145911.v1
title: Table 9. Analysis of the Performance of Advanced ML Models for Drug Property Prediction Based on the MAE Metric..docx

description: Table 9
DOI: 10.6084/m9.figshare.20457057.v1
title: 2018 Chinese Electriciy-focused Input-output Table with 55-commodity by 55-commodity

description: A more aggregated version for use. The table was processed using a 166-sector version. Excel and Matlab Data files are provided.
DOI: 10.6084/m9.figshare.23277392.v1
title: Social Media Corpus: Stigma Identification in Vaccination Discourse (COVID-19)

description: Current research introduces an annotated gold standard dataset based on 2,663 comments from Meta (Facebook). The dataset is manually labelled for stigma, not stigma, and ambiguous sentiment. Each comment is labelled three times (four times in case of dissensus) by independent expert annotators. The overall observed share of agreement reached 68% and Fleiss Kappa agreement rate achieved 0.62 on the annotation task with three labels ("stigma, "not stigma", and "ambiguous" category). Annotation share of agreement between two labels ("stigma, "not stigma") is 89% and Fleiss Kappa is 0.84. The labels are consequently propagated from the annotated Facebook (Meta) to a dataset discussing COVID vaccines with 40,084 comments from Twitter, Reddit, and YouTube corpora. In addition, the corpora are annotated with linguistic features from LIWC (Linguistic Inquiry and Word Count) [1], [2] and additional features: number of characters in the comment string, sentiment score, subjectivity score.
<br>
1. Pennebaker, J. W., Francis, M. E. & Booth, R. J. Linguistic inquiry and word count: Liwc 2001. Mahway: Lawrence<br>
Erlbaum Assoc. 71, 2001 (2001).<br>
2. Tausczik, Y. R. & Pennebaker, J. W. The psychological meaning of words: Liwc and computerised text analysis methods. J. language social psychology 29, 24–54 (2010)<br>
<br>
DOI: 10.6084/m9.figshare.29073904.v1
title: Synapse 数据集

description: Synapse 数据集的一部分
DOI: 10.17632/kkcztnxzph
title: High-Resolution Texture/Friction Dataset: Characterizing Asphalt Pavements and Aggregate Mosaics at Varied Polishing Stages for Measured Friction Analysis

description: This database comprises high-resolution topographies of 30 distinct surface textures, derived from five different types of aggregates. Each topography is in “txt” format and is composed of 15 parallel profiles separated by 0.5 mm. Each profile has a length of 76 mm. Every two points of the profile are separated by 0.01 mm. To ensure a comprehensive assessment of surface texture, we created both asphalt and mosaic samples for each aggregate type, resulting in a total of 10 sample variations (5 asphalts + 5 mosaics). Each of the 10 samples underwent three levels of polishing, yielding three distinct states of roughness per sample and a total of 30 unique surface textures.
Polishing tests were conducted using the Wehner-Schulze machine, which features two stations: one for polishing and another for measuring friction. During the polishing process, a rotary disc with three rubber cones rolled on the specimen surface, applying a designated load. To expedite the polishing, a mixture of 5% quartz powder (< 0.06mm) in 95% water was sprinkled onto the specimen. The polishing was performed on a ring, with the machine programmable to stop after a specific number of rotations.
Once the specimen was polished, it was manually transferred to the friction-measuring station, equipped with a rotary disc holding three small rubber pads arranged at 120°. Each rubber pad had an average length of approximately 30 mm, a width of 15 mm, and a thickness of 4 mm, loaded at 56N (refer to Figure 3). To measure friction, the disc was launched and accelerated to a speed of 100 km/h at its circumference. At 90 km/h, water was sprayed onto the specimen surface. Upon reaching 100 km/h, the motor stopped, and the disc descended until the rubber pads made contact with the specimen surface. The rotation ceased due to the friction between the rubber pads and the specimen, and the resulting friction-speed curve was recorded. The analysis focused on the friction value at 60 km/h.
DOI: 10.6084/m9.figshare.22099739.v1
title: Santangeli et al. Mixed effects of protected areas on terrestrial and freshwater biodiversity. Data & scripts.

description: This zipped folder includes all data and the scripts to replicate the analyses from the study by Santangeli et al. <em>Mixed effects of protected areas on terrestrial and freshwater biodiversity.</em> Specifically, we include in the main folder the script (R file, suitable for R software - "<strong>SiteMatchingBirdExample</strong>") and site level data ("<strong>BirdData.csv</strong>") used to run the matching analyses of protected and unportected sites (data and script provided for the birds data only due to data ownership agreements). This example is easily applicable to the other three taxonomic groups. We also include the data and scripts to run the Joint Species Distribution Modeling on the occurrence data separately for each of the four taxonomic groups studied in the folder "<em>HMSC_models</em>". Here the user will find four separate sub-folders, each including in turn a folder named <strong>data </strong>which hosts the occurrence data from sites selected after matching for that taxon (CSV file named <strong>SXY,</strong> includes also site level information), as well as a script file (named e.g. <em>birds_HMSC </em>in the case of birds folder) that can be used to replicate the joint species distribution model on that specific taxonomic group.
DOI: 10.6084/m9.figshare.25674786.v2
title: Dynamic Connectedness Between Commodities, Exchange Rates and Equity Markets of Commodity-Dependent Sub-Saharan Africa Countries

description: This data comprises the data utilised in the analysis of the above titled manuscript.
DOI: 10.6084/m9.figshare.5235964.v2
title: A new elasmosaurid from the upper Maastrichtian López de Bertodano Formation: new data on weddellonectian diversity

description: O’Gorman, J.P., Panzeri, K.M., Fernández, M.S., Santillana, S., Moly, J.J. & Reguero, M. July.2017. A new elasmosaurid from the upper Maastrichtian López de Bertodano Formation: new data on weddellonectian diversity. <i>Alcheringa 42</i>, 575-586. ISSN 0311-5518. Elasmosaurids are one of the most frequently recorded marine reptiles from the Weddellian Province (Patagonia, Western Antarctica and New Zealand). Improvements in our knowledge of elasmosaurid diversity have been problematic because of their conservative postcranial morphology. However, recent studies have helped to improved our understanding of the diversity of this group. Here, a new elasmosaurid specimen from the upper Maatrichtian horizons of the López de Bertodano Formation, Antarctica, MLP 14-I-20-16, is described. MLP 14-I-20-16 is one of the youngest non-aristonectine weddellonectian elasmosaurids from Antarctica. We confirm the coexistence of aristonectine and non-aristonectine elasmosaurids in Antarctica until the end of the Cretaceous. MLP 14-I-20-16 shows distinctive short and broad posterior cervical vertebrae, a feature only shared among the weddellonectian elasmosaurids by the Maastrichtian <i>Morenosaurus stocki</i>, although the same vertebral proportions are also recorded for the giant Cenomanian elasmosaurids <i>Thalassomedon haningtoni</i>. Comparison between MLP 14-I-20-16 and other elasmosaurids from the Maastrichtian of Antarctica indicates that at least two different non-aristonectine elasmosaurids were present in Antarctica during the late Maastrichtian. <i>José P. O’Gorman, [</i>joseogorman@fcnym.unlp.edu.ar]<i>, División Paleontología Vertebrados, Museo de La Plata, Universidad Nacional de La Plata, Paseo del Bosque s/n., B1900FWA, La Plata, Argentina, CONICET, Consejo Nacional de Investigaciones Científicas y Técnicas, Argentina; Karen M. Panzeri[</i>panzerikaren@gmail.com]<i>, División Paleontología Vertebrados, Museo de La Plata, Universidad Nacional de La Plata, Paseo del Bosque s/n., B1900FWA, La Plata, Argentina; Marta S. Fernández [</i>martafer@fcnym.unlp.edu.ar]<i>, División Paleontología Vertebrados, Museo de La Plata, Universidad Nacional de La Plata, Paseo del Bosque s/n., B1900FWA, La Plata, Argentina; CONICET, Sergio Santillana [</i>ssantillana@dna.gov.ar]<i>, Instituto Antártico Argentino, 25 De Mayo 1143, San Martín Provincia De Buenos Aires, Argentina; Juan J. Moly [</i>juanjomoly@fcnym.unlp.edu.ar]<i>, División Paleontología Vertebrados, Museo de La Plata, Universidad Nacional de La Plata, Paseo del Bosque s/n., B1900FWA, La Plata, Argentina; Marcelo Reguero[</i>mreguero@dna.gov.ar]<i>, División Paleontología Vertebrados, Museo de La Plata, Universidad Nacional de La Plata, Paseo del Bosque s/n., B1900FWA, La Plata, Argentina; Instituto Antártico Argentino, 25 De Mayo 1143, San Martín Provincia De Buenos Aires Argentina.</i>
DOI: 10.6084/m9.figshare.1189275.v1
title: S2 sandstone

description: Micro-CT image of S2 sandstone and extracted networks (Dong and Blunt, 2009, DOI: http://dx.doi.org/10.1103/PhysRevE.80.036307) The image can be visualised by opening the Nrrd header file S2.nhdr in visualization software such as Paraview or ImageJ (http://fiji.sc/Fiji), You can also open the S2.nhdr file in a text editor to see the image and voxel sizes. See the link provided for further information.
DOI: 10.6084/m9.figshare.14912835.v1
title: QM9 Faber et al.

description: QM9 standardized vale dataset in jarvis Atoms format.Taken from: https://pubs.acs.org/doi/10.1021/acs.jctc.7b00577<br>https://drive.google.com/open?id=0Bzn36Iqm8hZscHFJcVh5aC1mZFU<br>
DOI: 10.6084/m9.figshare.24722163.v4
title: Microservices Dataset - Complete Version

description: This is a microservices dataset. For an exclusive explanation, please take a look at the <b>paper</b> and at the <b>online appendix</b>: https://github.com/darioamorosodaragona-tuni/Microservices-Dataset<br><br>In particular, this file contains all the projects labeled as:<br>- <i>Is it a microservices?:</i> <i>Yes</i> | <i>Uknown</i><br>- <i>Archived:</i> <i>Yes</i> | <i>No</i><br><b>Copyright:</b><br><i>Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s). MSR ’24, April 15–16, 2024, Lisbon, Portugal © 2024 Copyright held by the owner/author(s). ACM ISBN 979-8-4007-0587-8/24/04</i><i> </i><i>https://doi.org/10.1145/3643991.3644890</i>