cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20005767.v1
title: Dimensions for analysis of evaluation proposals of Early Childhood Education policies

description: ABSTRACT Evaluating education evaluation proposals is a relevant step to consider the potential of these initiatives in promoting quality with equity, to ensure the fulfillment of the State's duty in guaranteeing the right to education. With this assumption, the article presents aspects and dimensions for the analysis of evaluation proposals regarding the Early Childhood Education policy, within the scope of education systems and networks. The propositions result from the survey and interpretation of literature and are supported by legislation and norms in force in the country, in dialogue with the literature that deals with requirements for the preparation and implementation of evaluations. The results of the study confirm the existence of parameters to support the evaluation processes of the stage, which are directed to issues of access, inputs, processes, and results, highlighting the importance of considering the specificities of the stage, the purposes of the evaluation and consequence given to their results.
DOI: 10.6084/m9.figshare.24376300.v2
title: Underlying data

description: Audio recordings of focus group interviews , Transcripts of focus group interviews and post video questionnaire responses
DOI: 10.6084/m9.figshare.3552897.v1
title: Supplement 1. R and WinBUGS code for the mixture model.

description: File List Rscript.r (md5: d73ea6d5356773558ec3152dad6d5517)<br> Posteriors.csv (md5: 8c2fec2da85cfaed5a6bee8a6e8703ef) Description Rscript.r is a text file that contains R and WinBUGS code for the δ<sup>15</sup>N(‰) mixture model. Posteriors.csv consists of posterior estimates for number of <sup>15</sup>N-labelled seeds in batches of dispersed seeds mapped within the 10-m radius or collected within the 10 to 20-m quarters. Column id holds the id number for each sample with G indicating group and Q identifying the four cardinal quarters, plant is the identity of the focal plant, and Delta is the isotopic delta. The posterior estimates are the mean, sd and percentiles. Rhat and n.eff correspond to Gelman and Rubin's convergence diagnosis (Rhat = 1 at convergence), and the effective sample size for the posteriors (Gelman and Hill 2007). <br>
DOI: 10.6084/m9.figshare.5996282.v1
title: An Empirical Investigation on the Readability of Manual and Generated Test Cases

description: Software testing is one of the most crucial tasks in the typical development process. Developers are usually required to write unit test cases for the code they implement. Since this is a time-consuming task, in last years many approaches and tools for automatic test case generation — such as EvoSuite — have been introduced. Nevertheless, developers have to maintain and evolve tests to sustain the changes in the source code; therefore, having readable test cases is important to ease such a process.However, it is still not clear whether developers make an effort in writing readable unit tests. Therefore, in this paper, we conduct an explorative study comparing the readability of manually written test cases with the classes they test. Moreover, we deepen such analysis looking at the readability of automatically generated test cases. Our results suggest that developers tend to neglect the readability of test cases and that automatically generated test cases are generally even less readable than manually written ones.
DOI: 10.3535/f7e-52h-z2k
title: Gypsum

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.27187051.v1
title: Crocodylian diversity during the early Eocene climatic optimum in the Golden Valley Formation of North Dakota, U.S.A.

description: Rich bone beds from the lower Eocene strata of the Golden Valley Formation of Stark County, North Dakota reveal a speciose sympatric crocodylian fauna. However, analyses demonstrate limited phylogenetic diversity among these co-occurring taxa, and of the four species known for the locality, three are alligatorids and one is a crocodyloid. Phylogenetic hypotheses recover <i>Chrysochampsa mylnarskii</i> as a late lived member of Brachychampsini—a stem-based clade including <i>Brachychampsa montana</i> and all alligatorids more closely related to it than to <i>Caiman crocodilus</i> or <i>Alligator mississippiensis</i>—and a new genus and species, <i>Ahdeskatanka russlanddeutsche</i> groups with species of <i>Allognathosuchus</i>. The crocodylians, partitioned by body size and plan, would have occupied an array of ecological niches and feeding strategies. Whereas the large-bodied alligatorid <i>Chrysochampsa mylnarskii</i> preserves a generalist morphology, <i>Ahdeskatanka russlanddeutsche</i> bears a short, broad snout and globular distal teeth. Contemporaneous with a peak in alligatoroid diversity during this interval, <i>Ahdeskatanka russlanddeutsche</i> is an exemplar of a radiation of small-bodied alligatorids with crushing dentition and preserves the ancestral alligatorid feeding strategy. Trophic dynamics of the locality diverge from modern environments and the abundant crocodylians may have filled the ecological niche of large mammalian carnivores conspicuously absent here. This alligatorid-rich crocodylian fauna evolved in swampy lowlands and meandering streams flanked by subtropical forests during one of the hottest sustained intervals in Earth history. The lush, highly productive ecosystems preserved in the Golden Valley Formation inform the evolutionary history of North American alligatorids and preserve significant biodiversity following the Paleocene–Eocene Thermal Maximum.
DOI: 10.6084/m9.figshare.28462295.v1
title: Peptide level analysis of all spider .fasta derived results in support of this study

description: This file contains all peptide level analyses which were too large to upload with data submission.
DOI: 10.3535/7kt-tlr-rxx
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/aa5-w22-g0f
title: Phosphorite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.1492979.v1
title: The pedestrian data set

description: The pedestrian data set
DOI: 10.6084/m9.figshare.21825111.v1
title: Well-log data that is applied to predict the S-wave slowness curve.

description: The compressed item consists of the training dataset, validation dataset, and testing dataset.
DOI: 10.6084/m9.figshare.22354996.v3
title: Active Code Learning

description: datasets and init models for active code learning
DOI: 10.6084/m9.figshare.26519821.v1
title: NFHS Dataset.xlsx

description: Nfhs 4 and 5 report dataset.
DOI: 10.6084/m9.figshare.7295648.v1
title: Vegetable seed kit distribution in East Africa

description: Between 2013 and 2017, WorldVeg and partners distributed 42,514 seed kits with a total of 183,193 seed samples to smallholder farmers in Tanzania, Kenya and Uganda. The vegetable crops that were included are: Amaranthus cruentus, Solanum scabrum, Solanum aethiopicum, Vigna unguiculata, Brassica carinata, Abelmoschus esculentus, Cleome gynandra, Corchorus olitorius, Solanum lycopersicum, Cucurbita moschata, Amaranthus dubius, Amaranthus tricolor, Glycine max, Solanum spp., Solanum anguivi, Solanum villosum, Amaranthus hypochondriacus, Crotalaria brevidens, Capsicum annuum, and Moringa oleifera.
DOI: 10.3535/023-hl5-8rd
title: Phosphorite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ztm-c24-hgb
title: Apatite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.19402178.v3
title: extended data

description: This data contains :-1.Case Performa and Questionnaire2.inforned consent form3.Ethical approval letter
DOI: 10.6084/m9.figshare.23741632.v1
title: Virtual screening strategy for anti-DPP-IV natural flavonoid derivatives based on machine learning

description: Flavonoids, especially their inhibitory effect on DPP-IV activity, have been widely recognized for their antidiabetic effects. However, the variety of natural flavonoid derivatives is very rich, and even subtle structural differences can lead to several orders of magnitude differences in their inhibitory activities against DPP-IV, which makes it challenging to find novel and potent anti-DPP-IV flavonoid derivatives experimentally. Therefore, there is an urgent need to develop an efficient screening pipeline that targets active natural products. Here, we propose a fusion strategy based on a QSAR model, and to simplify this process, it was applied to the discovery of flavonoid derivatives with potent anti-DPP-IV activity. First, the high-quality QSAR model (Rtest2 = 0.816, MAE<sub>test</sub> = 0.14, MSE<sub>test</sub> = 0.026) was composed of seven key molecular property parameters, which were constructed with the genetic algorithm (GA) and passed the leave-one-out cross-validation evaluation. A total of 1,668 flavonoid derivatives were obtained from the natural product enriched by NPCD based on molecular fingerprint similarity (&gt; 0.8). Further, the enriched flavonoid derivatives were further predicted and screened using the QED score combined with the QSAR model, and a total of 33 flavonoid derivatives (IC50<sub>pre</sub> &lt; 6.5 μM) were found. Subsequently, three flavonoid derivatives (5,7,3’,5’-tetrahydroxyflavone, 3,7-dihydroxy-5,3’,4’-trimethoxyflavone, and 5,7,2’,5’-tetrahydroxyflavone) with highly effective anti-DPP-IV activity were obtained by ADMET analysis. Finally, the DPP-IV inhibitory potential of these three flavonoid derivatives was verified by 100 ns MD simulation and MM/PB(GB)SA. Communicated by Ramaswamy H. Sarma
DOI: 10.6084/m9.figshare.24043254.v1
title: NADTA Student Research Database

description: This dataset contains references to all student theses currently indexed in the NADTA Student Research Database. It sorts the theses across the categories of year of publication, authorship, school and allocated keywords. A separate worksheet includes the keyword allocation data from the research team.
DOI: 10.6084/m9.figshare.24274522.v1
title: M Jones and M Biddle (2023) Neighbours Connect Southmead Bristol SROI Impact Maps

description: Impact Maps produced for a retrospective SROI analysis of Neighbours Connect Southmead Bristol - a community buddy and support scheme.
DOI: 10.6084/m9.figshare.26927707.v5
title: A dataset mapping the temperate savanna in Northeastern China (2022)

description: Temperate savanna shares a wide geographical distribution. It plays a crucial role in supporting a substantial portion of rangelands and livestock, thereby contributing significantly to human livelihoods.We develop a new temperate savanna identification method for mapping the temperate savanna in Northeastern China within a minimum identifiable area of 5000 m<sup>2</sup> by integrating Unmanned Aerial Vehicle(UAV) imagery with high-resolution satellite imagery of Sentinel-1 and Sentinel-2 by using Random Forest regression and Classification and Regression Tree algorithms. The training and validation datasetswere collected from UAV imagery.The proposed method achieved with the overall accuracy of 0.82 for savanna identification.Temperate savanna in Northeastern China covering a total area of 156,000 km<sup>2</sup>.This map enhances our understanding of the spatial extent and area of temperate savanna. The derived method provides a new insight to explore the extent of regional and global savannain the future.The code and generated maps are publicly accessible. To make the method to reproduce and exploit and to promote its usage, we have provided users with the python code used to produce temperate savanna map. The generated maps of fractional woody vegetation cover, fractional herbaceous vegetation cover and temperate savanna in Northeastern China are stored in TIFF format, including the fractional woody and herbaceous vegetation cover map of 20 m with the file name of FWVC20m.tif and FHVC20m.tif, and the temperate savanna map at unit area scale of 5000 m<sup>2</sup> with the file name of tsavanna.tif. In temperate savanna map, we recorded temperate savanna as “1”. All image data can be viewed by geographic information system software, such as ArcGIS.The UAV imagery consists of 75 TIFF files that are publicly accessible through Figshare (https://doi.org/10.6084/m9.figshare.27651468.v1).
DOI: 10.6084/m9.figshare.7600103.v5
title: 3D files of Brazilichthys macrognathus (Actinopterygii)

description: This dataset includes .ply files and tomograms of the cranial anatomy of <i>Brazilichthys macrognathus</i>, obtained by microtomography.Submitted to the Journal of Vertebrate Paleontology.
DOI: 10.6084/m9.figshare.878253_d68
title: relative_humidity_pct_1cm_soil_0_shade.zip

description: Relative humidity (%) 1 cm above the ground assuming a soil substrate and 0% shade from vegetation. Each netCDF file contains 24 layers of global extent, one for each hour of the day (starting at 0:00 hrs) for a given month of the year, at ~15km resolution.
 
 
Fileset Description:
The microclim dataset provides microclimate estimates of conditions above and below ground for each hour of the day for the middle day of each month based on a long-term average climatology. Details of this dataset are presented in [Kearney et al. 2014].
The dataset comprises a set of NetCDF files with one file per variable per month, each file comprising 24 layers (one for each hour of the day from 0:00 hrs to 23:00 hrs, so layer 13 is 12:00 midday) for the globe (852 rows, 2159 columns, latitudinal extents -58.57 to 83.43 degrees, longitudinal extents -180.00 to 180.00 degrees). For the naming convention, mon is month of the year (1 to 12, where 1 = Jan, 12 = Dec), shd is shade level in % (0, 25, 50, 75, 90, 100), and sub is substrate (soil, rock, sand).
To facilitate downloading the data, the NetCDF files are grouped into compressed (zipped) files, one per variable per shade and substrate type, each comprising all monthly values and, for the substrate temperatures, all depths. Note that not all variables are shade or substrate specific, specifically zenith angle, wind speeds, solar radiation, and 120 cm air temperature and relative humidity.
DOI: 10.3535/qt4-7f1-ptd
title: Gypsum

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/wgq-pdw-kjs
title: Apatite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.14281535.v1
title: VALIDATION OF A NEW WATER-PERFUSED HIGH-RESOLUTION MANOMETRY SYSTEM

description: ABSTRACT Background: High-resolution manometry is more costly but clinically superior to conventional manometry. Water-perfused systems may decrease costs, but it is unclear if they are as reliable as solid-state systems, and reference values are interchangeable. Aim: To validate normal values for a new water-perfusion high-resolution manometry system. Methods: Normative values for a 24-sensors water perfused high-resolution manometry system were validated by studying 225 individuals who underwent high resolution manometry for clinical complaints. Patients were divided in four groups: group 1 - gastroesophageal reflux disease; group 2 - achalasia; group 3 - systemic diseases with possible esophageal manifestation; and group 4 - dysphagia. Results: In group 1, a hypotonic lower esophageal sphincter was found in 49% of individuals with positive 24 h pH monitoring, and in 28% in pH-negative individuals. In groups 2 and 3, aperistalsis was found in all individuals. In group 4, only one patient (14%) had normal high-resolution manometry. Conclusions: The normal values determined for this low-cost water-perfused HRM system with unique peristaltic pump and helicoidal sensor distribution are discriminatory of most abnormalities of esophageal motility seen in clinical practice.
DOI: 10.6084/m9.figshare.28595396.v1
title: Survey on Automated Writing Feedback

description: Anonymized survey data from a study on graduate students’ engagement with automated vs. teacher-delivered feedback in an English-medium university in Armenia. This dataset is a small component of the study. The main results are drawn based on the case studies of a few research participants who did a think-aloud protocol during the revision process of their academic papers and interviews. These datasets are not available due to the confidentiality reasons.
DOI: 10.3535/0rb-az7-5pm
title: Bornite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/h5q-50t-vvb
title: Smithsonite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.22678810.v1
title: Dataset.csv

description: The purpose of this dataset was to use machine learning to predict the opportunity of divorce among single-parent families in Thailand. The use of Krejcie and Morgan tables for sample size calculation considers the proportion of traits of interest in the population, the desired level of tolerance, and the confidence level. The sample size of 52 out of a population of 60 indicates a high response rate, which is a positive aspect of the study. 60 questions in the online questionnaire, only 12 were related to the likelihood of divorce as; <br> <strong>Questions List</strong> 12. At what age did you first engage in sexual intercourse? 17. Did your parent divorce or separate in your childhood? 22. Which were the reasons for deciding to choose a spouse? 24. At what age did you start living together as a couple for the first time? 25. How many life partners did you have? 26. How long have you lived as a couple with your spouses? 27. How often did your arguments with your spouse? 28. What were the reasons for your arguments with your couple? 29. How long did it take from the beginning of the problem until deciding to separate? 30. Which were the reasons for the decision to separate? 31. How many children do you have? 32. How old were you when you had your first child? <br> All questions and answers are typically converted to numeric code to enable machine learning algorithms to understand and analyze the data. For example, question 12 asks How old were you when you had your first sexual intercourse? converts to Q12. The question has the following options: Never had sex, under 20 years old, 20 - 25 years old, 26 - 30 years old, and 31 years old and over are converted to 1, 2, 3, 4, 5, etc. <br> Transforming questions with multiple answers into attributes is a technique in machine learning. This process is called one-hot encoding and involves creating a new binary attribute. For example, question 22 asks What were the reasons for deciding to choose a spouse? The answers are Appearance, Love, Financial, Character, and Family approval will be transformed into attributes Q22-A1, Q22-A2, Q22-A3, Q22-A4, and Q22-A5. If the subject chooses any answer, the value will be substituted for 1 and 0 when not selected. <br> This process prepares the data in a format that is ready for analysis. As a result, all 37 topics have a feature value. Each row represents one spouse's response per couple. The columns represent questions in order of attributes Q12, Q17, Q22-A1, Q22-A2, Q22-A3, Q22-A4, Q22-A5, Q24, Q25, Q26, Q27, Q28-A01, Q28-A02, Q28-A03, Q28-A04, Q28-A05, Q28-A06, Q28-A07, Q28-A08, Q28-A09, Q28-A10, Q28-A11, Q28-A12, Q28-A13, Q29, Q30-A01, Q30-A02, Q30-A03, Q30-A04, Q30-A05, Q30-A06, Q30-A07, Q30-A08, Q30-A09, Q30-A10, Q31, Q32, and Divorce. <br> The attribute Divorce is a class for labeling the data. Representing divorce or marriage by substituting those whose status is married = 0, divorced = 1.
DOI: 10.6084/m9.figshare.c.3621752_d4.v1
title: Additional file 1: Dataset S1. of Functional characterization of the Mycobacterium abscessus genome coupled with condition specific transcriptomics reveals conserved molecular strategies for host adaptation and persistence

description: Full list of experimental TSSs identified in M. abscessus, with motifs identified within their promoter regions. (XLSX 753 kb)
DOI: 10.3535/zgj-b2a-hp5
title: Platycladus Spach

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/zs3-4qe-qd1
title: Magnetite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.13489863.v4
title: Unigenes of passion fruit chilling stress

description: Chilling stress (CS) is an important limiting factor for the growth and development of passion fruit (<i>Passiflora edulis</i>) in winter in south China. However, little is known about how the passion fruit responds and adapts to CS. In this study, we performed transcriptome sequencing of Huangjinguo (HJG, cold-susceptible) and Tainong 1 (TN1, cold-tolerant) under normal temperature (NT) and CS conditions, and a total of 47,353 unigenes were obtained in 7 databases. Using differentially expressed unigenes (DEGs) analysis, 3,248 and 4,340 DEGswere identified at two stages, respectively. The Gene Ontology (GO) enrichment analysis showed that the DEGs were mainly related to phosphorylation, membrane protein, and catalytic activity. In Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, the unigenes of plant-pathogen interaction, plant hormone signal transduction and fatty acid metabolism were enriched.Then, the 12,471 filtered unigenes were divided into 8 co-expression modules, and two of which were correlated with CS. In the two modules, 32 hub unigenes were obtained. Furthermore, the unigenes related to CS were validated using quantitative real-time PCR (RT-qPCR). This work showed that the expression levels of CS-related unigenes were very different in two passion fruit cultivars. The results provide information for the development of passion fruit with increased chilling tolerance.
DOI: 10.6084/m9.figshare.14179592.v1
title: crime victimization and fear of crime

description: 1. Data for crime victimization and fear of crime
DOI: 10.6084/m9.figshare.25754250.v1
title: 2024 03 04 Clean Cast

description: Field notes including image and/or video records.
DOI: 10.6084/m9.figshare.25962160.v1
title: Supplemental Files: Multiple-sequence alignments - Survey of RNA Viromes in US Honey Bees and Varroa Mites Reveals Prevalence of Recombinant DWV genomes

description: Multiple sequence alignments of NHDS primers aligned to genomes from this study and RefSeq
DOI: 10.6084/m9.figshare.27950031.v1
title: <b>Biochar-amended soil can further sorb atmospheric CO</b><sub><strong>2</strong></sub><b> for more carbon sequestration</b>

description: Input of biochar into soil is considered as an efficient technology for carbon sequestration. This work is aimed to explore if the extra sorption of carbon dioxide (CO<sub>2</sub>) exists in the biochar-amended soil, which has not yet received attention. Here we put biochar and mineral-rich biochar into soils to perform laboratory CO<sub>2</sub> sorption experiments. Our results demonstrate that all biochars increased soil carbon storage and meanwhile further sorb CO<sub>2</sub> for more carbon sequestration. The calcium or magnesium-rich biochar could react with more CO<sub>2 </sub>and eventually be converted into inorganic carbonate minerals in soils. Further, the country-level prediction showed that all cultivated topsoils with biochar application in China could achieve 7.38-12.5 billion tons of carbon sequestration and an additional 0.34-2.66 billion tons of CO₂ sorption. The results require us to take into consideration of both carbon sink and extra CO<sub>2</sub> sorption in the assessment of biochar carbon sequestration potential in soil.
DOI: 10.6084/m9.figshare.28241546.v2
title: Videos dataset

description: Videos dataset.
DOI: 10.3535/2r7-gxt-7ng
title: †Ammonoidea

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/a1e-3sz-zn5
title: Annabergite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.