cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/t99mbc7by9
title: Characteristics of carbon, nitrogen, and phosphorus in soil aggregates under different restoration methods on cut slopes in the Qinghai-Tibet Plateau mining area

description: This study systematically compared soil aggregate stability and carbon-nitrogen-phosphorus nutrient characteristics among three restoration methods for cut slopes (three-dimensional netting [TCS], frame beams [FCS], and galvanized wire mesh [GCS]) relative to unrestored cut slopes (UCS) in the Jiama Mining Area, Tibet. Microsoft Excel 2022 was used for data organization, while statistical analyses were conducted with SPSS 20.0. Statistical comparisons of restoration treatments for soil properties (nutrient indicators, enzyme activities) employed one-way ANOVA with Tukey's HSD multiple comparisons.
TCS exhibited significantly higher SOC content than FCS, GCS, and UCS. For aggregates smaller than 0.25 mm, FCS exhibited significantly higher SOC values than other restoration methods. While bulk soil SOC contents were significantly elevated in FCS and TCS compared to GCS and UCS, GCS and UCS did not differ significantly from each other. TCS exhibited significantly higher TN contents in most aggregate size classes compared to other treatments. Among the three restoration methods, only GCS exhibited lower TN contents than UCS across all aggregate size fractions. In bulk soil, TN contents in GCS and UCS showed no significant difference but were both significantly lower than those in TCS and FCS, with TCS also showing significantly higher TN content than FCS. A significant increase in TP content was observed in macroaggregates from TCS and FCS compared with GCS and UCS. Within the microaggregates fraction, TP concentrations were significantly elevated in FCS and UCS relative to TCS and GCS. TP concentrations in the &lt; 0.053 mm fraction were significantly elevated in FCS relative to other treatments. In bulk soil, UCS had the highest TP content, significantly higher than that in TCS and GCS.
TCS exhibited significantly higher soil saccharase (SAC) activity across all aggregate size fractions compared to the other cut slopes. In aggregates smaller than 2 mm, both FCS and GCS exhibited higher SAC activity than UCS. Statistical analysis detected no significant variation in bulk soil SAC activity between GCS and UCS treatments. Both TCS and FCS exhibited higher urease (URE) activity than GCS and UCS. UCS exhibited significantly higher URE activity than GCS only in the microaggregates fraction. TCS exhibited significantly higher alkaline phosphatase (ALP) activity than the other cut slopes. Except in the microaggregates fraction, where FCS, GCS, and UCS showed no significant differences in ALP activity. In bulk soil, ALP activity differed significantly among the four slope types, with the hierarchy: TCS &gt; FCS &gt; GCS &gt; UCS. Across bulk soil and &gt; 0.053 mm aggregates, catalase (CAT) activity was significantly lower in GCS compared to other slope types. TCS demonstrated significantly higher CAT activity than other restoration methods in both bulk soil and &lt; 2 mm aggregates, while FCS and GCS showed no significant difference.
DOI: 10.6084/m9.figshare.24995942.v1
title: 1-s2.0-S0898656815003125-main.pdf

description: 1111
DOI: 10.6084/m9.figshare.27973800.v1
title: Effects of Closed Mouth vs. Exposed Teeth on Facial Expression Processing: An ERP Study

description: The files and figures correspond to the study "Effects of Closed Mouth vs. Exposed Teeth on Facial Expression Processing: An ERP Study" currently under review for the journal "Behavioral Sciences".Please contact Nicolas Brunet at <b>nicolas</b><b>.brunet</b><b>@csusb</b><b>.edu</b> for additional instructions and detailed information.The spreadsheet titled “INFO” provides information for each participant, with each row corresponding to a single participant. The data includes:<b>Participant details</b>: Participant number, gender, age, and race/ethnicity.<b>Experiment version</b>: Indicates whether the participant completed version 1 or version 2 of the research experiment.<b>File locations</b>: Specifies the folder containing the participant's associated files (.eeg, .vhdr, .vmrk, and results file).<b>Trial data</b>: The subsequent 288 columns list the onset times (determined using a photodiode) for each of the 288 trials in the session.Additional behavioral data, including reaction times (RTs) and the image presented for each trial, can be found in the corresponding results file for each participant. The image names in the results files correspond to the uploaded <code>.jpg</code> files. 8 of the 288 images, for unknown reasons, couldn't be uploaded. They are available upon request.For <b>version 2 of the experiment</b>, the same images as version 1 were used, but they were modified to exclude non-facial features (e.g., hair) and set to a 50% gray background instead of white. Due to constraints on the number of files allowed for upload, these images are not included but can be made available upon request.
DOI: 10.6084/m9.figshare.8967995.v1
title: Mantle Convection Models

description: The temperature and density anomalies at different depths for our mantle convections models listed in Table 2.<br>LayerDepth.dat contains the depth information, the firstcolumn is the layer number (2-80, excluding surface and CMB); the second column is the depth in km. Each Case*.zip contains the spherical harmonic expansions (l=0-90) for both temperature anomaly (T_anomaly.layer*) and density anomaly (density.layer*) due to temperature anomaly at layers 2-80. Values for degree 0 is only numerical errors due to the spherical harmonic expansion process. There are 22 cases in total corresponding to all the 22 cases in Table 2.Note, if you do spherical harmonic reconstruction, do take care whether it is shifted by 180 degrees (0to360 or -180-to180 in longitude).
DOI: 10.6084/m9.figshare.c.3640040_d3.v1
title: Additional file 2: Table S2. of Single-cell transcriptomic reconstruction reveals cell cycle and multi-lineage differentiation defects in Bcl11a-deficient hematopoietic stem cells

description: The list of highly variable genes in the Bcl11a +/+ , sBcl11a +/+ and Bcl11a â  /â   HSC dataset and the gene ontology term (biological processes) enrichment analysis results. (XLSX 3257 kb)
DOI: 10.17632/y6fkrybb32
title: Sounds of valves in heating systems for classification and condition monitoring

description: Dataset contains 427 sounds of valves installed and operating in district heating systems. 

Tables in Excel and Matlab format contain categories for each sound as follows: 
     1) FlowNoise, 2) Rattling, 3) Whistling, 4) Cavitation.

'FlowNoise' class corresponds to normal valve operation. 
The other three classes correspond to unwanted operating conditions.

Attached Matlab table contains also 65 extracted features (acoustic features and statistical features) for each sound.

The dataset was prepared to train machine learning classifiers to classify sounds into corresponding categories.

FILE DESCRIPTION:

1) 'extracted_features_and_classes.mat'
	Matlab 2019 format (table), includes:
	- mp3 file names 
	- corresponding categories (FlowNoise, Rattling, Whistling, Cavitation) 
	- 65 extracted features for each mp3 file 

2) 'mp3_file_list_and_classes.xlsx'
	Excel format, includes:
	- mp3 file names 
	- corresponding categories (FlowNoise, Rattling, Whistling, Cavitation) 
	- links to mp3 files to play sounds (mp3 files should be unzipped in the same folder) 

3) 'mp3_files.zip'
	ZIP archive with 427 sound files in mp3 format. Each sound has duration of 3 seconds.
DOI: 10.6084/m9.figshare.12592349.v1
title: code_and_data.zip

description: The data and codes that support the findings of the study "Measuring hub locations in time-evolving spatial interaction networks based on explicit spatiotemporal coupling and group centrality" published in the International Journal of Geographical Information Science.
DOI: 10.6084/m9.figshare.19216734.v1
title: CO2 Respiration

description: MicroResp - CO2 Respiration Data
DOI: 10.6084/m9.figshare.8199416.v1
title: Annotation of Calanus finmarchicus transcriptome (NCBI Bioproject: PRJNA231164)

description: Annotation of Calanus finmarchicus transcriptome (Bioproject PRJNA231164; GBFB00000000.1). Annotated using Trinotate (version 3.0).
DOI: 10.15468/dl.w734ks
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Poa lanuginosa Poir.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 45 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013252-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/7d3b273xh3
title: 21ST-CENTURY SKILLS ON TEACHERS' IMPLEMENTATION PERFORMANCE

description: This dataset was generated to understand the impact of 21st-century skills on the teaching performance of secondary school teachers in Sekondi-Takoradi, Ghana. The motivation behind creating the dataset lies in recognizing that these skills significantly affect teachers' effectiveness in integrating them into the teaching and learning process. The study's objectives were twofold: firstly, to identify specific essential skills within the broader category of 21st-century skills that play a significant role in predicting teachers' implementation performance, and secondly, to explore potential gender differences in the application of these skills among secondary school teachers.
DOI: 10.17632/9h6gpbhj5k
title: RTU-HVAC Real-Time Operating Data from Unit in Field

description: The purpose of collecting, creating, and publishing this dataset is to develop novel machine learning methods that can classify faults for datasets that are (1) collected real-time, (2) that are not labeled, and (3) that may be imbalanced. The hypothesis was that we would be able to classify HVAC faults with these conditions with an accuracy > 90%.  All the developed methods were able to classify all seven considered faults categories (UCC1, OCC1, UCC2, OCC2, CA, EA, NF); however, only five classes are identified and analyzed because there was no instance in the datasets for the UCC1 and OCC2 faults. The average accuracy of the supervised ML method for the baseline method was high (93.5%); however, the minority class (NF) classification accuracy was low (80.6%) because of the data imbalance. A combination of SVM and a novel unsupervised ML technique that utilizes k-NN labeling (Method 2) was developed. This method is very promising, as it shows a high average accuracy (94.9%) even with a few labeled data points and it can predict multiple faults in the same data point. This method also shows encouraging results for dealing with imbalanced datasets without the need for additional techniques to generate new data points to balance all classes. A combination of SVM, clustering, and unsupervised learning of k-NN labeling (Method 3) was developed. This method is limited to a scenario where only one fault at a time is present in the dataset; however, it is a powerful approach to deal with limited labeled data points. The highest average accuracy was achieved using 50 k-NN.  Interestingly, all OCC1 and UCC2 testing data points are correctly predicted, while there were a few data points that were misclassified for CA, EA, and NF. Even though the imbalanced dataset challenge can be handled by using different techniques, the main drawback of this method is the presence of multiple faults in the same data point. Finally, an ensemble method was developed to select between Methods 1 and 2 for each fault type. Rather than looking at the overall accuracy of each method, this method looks at the accuracy of each individual classifier (one classifier for each fault or class). This is useful when it is necessary to select between different methods (SVM or a combination of SVM and unsupervised ML of k-NN labeling) for each classifier, to achieve better predictions, and an overall higher average accuracy.
DOI: 10.6084/m9.figshare.16802473.v2
title: Structural variants in the barley gene pool: Precision and sensitivity to detect them using short-read sequencing and their association with gene expression and phenotypic variation - supplementary data

description: SNV, INDELs, and SV data sets of the manuscript "Structural variants in the barley gene pool: Precision and sensitivity to detect them using short-read sequencing and their association with gene expression and phenotypic variation".
DOI: 10.6084/m9.figshare.27627438.v1
title: Data Set for Consumption pattern of fish, fruits and vegetables among households in Ado-Ekiti, Ekiti State, Nigeria

description: A validated food frequency structured questionnaire, adapted from the international dietary data expansion project (Thompson et al., 2003) was used to assess the consumption pattern of fish, fruits and vegetables amongst households in Ado Ekiti. Tilapia, catfish, mackerel (titus), stockfish, herring, sardine, hake and croacker were investigated under fish. In the case of fruits, banana, orange, mango, pawpaw, watermelon, pineapple, quava, avocado and coconut were assessed while under vegetables, tomato, onion, okra, spinach, bitter leaf, pumpkin, garden egg, carrot, cabbage, green beans, bell pepper and scotch bonnet were investigated. The questionnaire was divided into 4 sections A-D. Section ‘A’ provided information on the socio-demographic characteristics of the participants, while Section ‘B’ investigated the fish the consumption frequency, quantity and modes of the different amongst the households. Sections ’C’ and ‘D’ examined consumption frequencies, quantities and modes of the fruits and vegetables. For data analysis, frequency of consumption scores for the respective fish, fruits and vegetables were recorded as 1= Never consumed, 2= consumed once in 2 months, 3= consumed 1-3 times monthly, 4= consumed once weekly, 5= consumed 2-4 times weekly, 6= consumed 5-6 times weekly, 7= consumed daily. Participants’ average cumulative scores for a particular fish, fruit or vegetable formed the mean consumption frequency score. In the case of consumption quantity for the fish and fruits, scores of 1, 2, 3, 4, 5, 6 and 7 were allocated for consumption of ½ piece, 1 piece, 1½ pieces, 2 pieces, 2½ pieces, 3 pieces and &gt; 3 pieces per servings, respectively. In the case of the vegetables, scores of 1, 2, 3, 4 and 5 were allocated for consumption of &lt; 100 g, 100-200 g, 300-400 g, 500-600 g and &gt; 600 g per serving, respectively. Participants’ average cumulative scores for a particular fish, fruit or vegetable formed the mean consumption quantity score. Out of 1,500 questionnaire distributed, 1369 questionnaires were retrieved, giving a recovery rate of 91%.
DOI: 10.6084/m9.figshare.29095688.v2
title: <b>Supplemental Data: </b>HFC Emissions and Climate Benefits from China’s Adherence to the Kigali Amendment

description: This dataset supports the findings of the study <i>“Climate benefits from China’s adherence to the Kigali Amendment.”</i><br>The file <b>Raw_data.xlsx</b> contains the data used to generate the figures presented in the main text of the paper.The file <b>TableS12-15.xlsx</b> contains four sheets:<b>HFC emissions (2000–2100)</b> under Business-as-Usual (BAU) and Kigali Amendment (KA) scenarios, disaggregated by type and sector.<b>Uncertainty ranges</b> (5th to 95th percentiles) of HFC emissions under the BAU scenario.<b>Global temperature rise projections</b> driven by HFC emissions from BAU and KA scenarios.<b>Quantified climate benefits</b> of China's KA-aligned mitigation (in USD billion), including sector-specific estimates for agriculture, energy, sea level rise, and health.Refer to the main text and supplemental PDF for detailed explanations and figure references.
DOI: 10.17632/crh6zr5krc
title: Data for: Assessing the Impact of Policy and Regulation Interventions in European Sovereign Credit Risk Networks: What worked best?

description: replication files: please see readme.pdf for details
DOI: 10.17632/ppy2x4yy7k
title: Data and code for study: "A review of types of risks in agriculture: what we know and what we need to know"

description: Author to who correspondence may be addressed: Adam M. Komarek (a.komarek@cgiar.org) Most recent edit: September 13th, 2019 Details: the zip file 'analysis.zip' has four main folders for the code and data required to replicate the results in the study titled: "A review of types of risks in agriculture: what we know and what we need to know". Study authors are Adam M. Komarek, Alessandro De Pinto, and Vincent H. Smith 1) a folder 'data' that contains the raw data and processed data from our literature search this includes a file "databaseAll_20190904.xlsx" located in data/dataProc that contains all the studies in our review, including details on, among others, title, abstract, keywords, authors, journal name, if a study was eligible to retain, type of risk(s) studies, country/region, and notes, and details on the country classification and eligibility criteria used. 2) a folder 'output' that contains the figures and (data as .csv for) tables reported in the study. TableS1_ctyRiskDecWide_df.csv lists the number of studies per country by type of risk and time period. 3) a folder 'scripts' contains the R scripts. These scripts are ordered sequentially. 'riskRev.Rproj' is the R project located in the trunk directory. It must be opened to set the project directory, which is needed to read in the data 4) a folder 'WoSSearch' contains details of the Web of Science search.
DOI: 10.6084/m9.figshare.1217510.v1
title: Experiment 4: Short vs Long Exposure Duration - Raw Data

description: Data from Experiment 4 of Thompson, M. B. & Tangen, J. M. (in press). The nature of expertise in fingerprint matching: Experts can do a lot with a little. PLOS ONE.
DOI: 10.6084/m9.figshare.12185742.v1
title: Data file from Exposure to high male density causes maternal stress and female-biased sex ratios in a mammal

description: A shift from the traditional perspective that maternal stress is invariably costly has instigated recent interest into its adaptive role in offspring sex allocation. Stress generated by social instability has been linked to offspring sex ratio biases that favour the production of female offspring, which converges with the theoretical prediction that mothers in the poor condition are better off investing in daughters rather than sons. However, previous research has failed to disentangle two different processes: the passive consequence of maternal stress on sex-specific mortality and the adaptive effect of maternal stress at the time of conception. Here, I show that exposure to high male density social conditions leads to elevated stress hormone levels and female-biased <i>in utero</i> offspring sex ratios in house mice (<i>Mus musculus domesticus</i>), and identify that sex-specific offspring production—not sex-specific mortality—is the mechanism accounting for these sex ratio skews. This outcome reflects the optimal fitness scenario for mothers in a male-dominated environment: the production of daughters, who are guaranteed high mate availability, minimizes male–male competition for their sons. Overall, this study supports the idea that maternal stress has the potential to be adaptive and advances our understanding of how exposure to different social conditions can influence sex allocation in mammals.
DOI: 10.6084/m9.figshare.24993315.v1
title: Lightning Pose dataset: mirror-mouse

description: Head-fixed mice run on a circular treadmill while avoiding a moving obstacle (Warren et al., Elife 2021). The treadmill has a transparent floor and a mirror mounted inside at 45◦, allowing a single camera to capture two roughly orthogonal views (side view and bottom view via the mirror) at 250 Hz. 17 keypoints are labeled across the two views including seven keypoints on the mouse’s body per view, plus three keypoints on the moving obstacle.The labeled data are partitioned into disjoint "in-distribution" (InD) and "out-of-distribution" (OOD) sets. Each set contains different sessions / animals. The InD data contain 789 labeled frames, and 17 unlabeled videos; the OOD data contain 253 labeled frames, and 5 unlabeled videos.Data collected by Richard Warren and Qianyun Zhang in the Sawtell Lab, Columbia University.<br>
DOI: 10.6084/m9.figshare.27637614.v1
title: Appendix 4: Specification test results

description: The model specification test results of the study.
DOI: 10.17632/mhx3p7w3d6
title: Perceptions and opinions on the COVID-19 pandemic in Flanders, Belgium: Data from a five-wave longitudinal study

description: During the COVID-19 pandemic, people have become increasingly fearful of the disease as death tolls rise, while governments attempt to combat it by installing restrictive measures. News media play a vital role as they are the main sources from which people gather information regarding the disease and the public health measures. The present longitudinal data reflect a bird’s eye view of people’s fears towards getting ill, their news media consumption, their attitudes regarding the (Belgian) government’s handling of the COVID-19 crisis, informal care burden, and changes in physical activities. Data were collected at five key moments in the pandemic among adults in Flanders, Belgium: in the middle of March 2020 (W1; when the first restrictive measures went into effect; N = 1,000), early April 2020 (W2; as hospital admissions and death toll peaked; N = 870), at the end of May and beginning of June 2020 (W3; as several measures were lifted or relaxed; N = 768), in late August 2020 (W4; as infection rates increased again; N = 505), and in the middle of March 2021, exactly one year after the first data collection (W5; N = 408). In W4 and W5, new respondents were added to the longitudinal sample to strengthen cross-sectional analyses of these data. These data may be of interest to researchers who wish to explore dynamics of fear and attitudes towards public health measures during this particularly challenging time.
DOI: 10.6084/m9.figshare.13720501.v1
title: 14C dates from lakes Kaniere, Mapourika and Paringa

description: Radiocarbon dates used to generate chronology for lakes Kainere, Mapourika and Paringa.
DOI: 10.6084/m9.figshare.28925849.v1
title: Is FRT ethical? - A Design Justice Fanzine

description: This zine was created as part of my Design Justice coursework for the MSc Human-Computer Interaction Design programme. It explores the injustices associated with facial recognition technology and proposes strategies to mitigate them. Two versions are available: one designed for print and the other for online viewing.
DOI: 10.6084/m9.figshare.28022918.v1
title: Alignment of the phylogenetic analyses for Delectopecten themus

description: Alignment of the phylogenetic analyses for Delectopecten themus
DOI: 10.6084/m9.figshare.1367457.v1
title: DISEASES v1

description: These files constitute the last version of the DISEASES database to use STRING v9 protein identifiers.
DOI: 10.6084/m9.figshare.2059944.v1
title: Supplementary Data for CAFA2

description: Supplementary data from the second Critical Assessment of protein Function Annotation (CAFA2). See preprint here: http://arxiv.org/abs/1601.00891<br>
DOI: 10.6084/m9.figshare.25868098.v1
title: imdb

description: The imdb dataset on haphazard inputs with 25000 instances and 7500 features.