cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/nbc9xpwv96.1
title: Ground Based SAR Data Obtained With Different Polarizations

description: The dataset consists of 150 pairs of Ground Based SAR data recorded using horizontal and vertical polarization. 
All data is recorded using GBSAR-Pi. GBSAR-Pi works in stop-and-go mode. GBSAR sensor is FMCW (Frequency Modulated Continuous Wave) radar with central frequency at 24 GHz. Total GBSAR aperture is 60 cm with 1 cm step size (60 steps). FMCW radar periodically transmits sawtooth signal every 155 ms. 

Scene
GBSARP-Pi recorded scenes which contained three equally spaced objects. The objects were set approximately 30 cm away from the radar. Resulting matrix obtained after one recording has dimensions of 1024x60. 1024 represents the number of frequency points, while 60 is the number of GBSAR steps. That matrix is split into three segments each of which covered one object. The dimensions of one segment are 1024x20. 
Given dataset includes 300 examples of such segments. Each scene is recorded with horizontal (HH) and vertical (VV) polarization. Therefore, the dataset contains 150 pairs of the same segment observed with different polarizations. 

Classes
The observed objects were approximately of same size but made of different materials (aluminum, glass, plastic) and had different shapes (cylinder and cuboid). Each of the six combinations of materials and shapes are represented by one object and each object stands for one class. Six classes and their marks are:
PR - plastic cylinder 
PS - plastic cuboid
GR - glass cylinder 
GS - glass cuboid
AR - aluminum cylinder
AS - aluminum cuboid

Naming of the files
Class mark is based on the material of the object and its shape. The rest of the filename is following:
{class mark}_{position in the scene (1, 2 or 3)}_{polarization}_{recording id}.npy

Therefore, 'AR_1_hh_21' and 'AR_1_vv_21' represent the same object recorded in the same scene conditions (recording id) but with different polarizations (horizontal and vertical, respectively).

Data format
GBSAR matrices are given in .npy format. The dimensions of the matrices are 1024x20.

This work was supported in part by Croatian Science Foundation (HRZZ) under the project number IP-2019-04-1064.

[1] Kačan M, Turčinović F, Bojanjac D, Bosiljevac M. Deep Learning Approach for Object Classification on Raw and Reconstructed GBSAR Data. Remote Sensing. 2022; 14(22):5673. https://doi.org/10.3390/rs14225673
DOI: 10.6084/m9.figshare.20522679
title: Additional file 1 of NAPSB as a predictive marker for prognosis and therapy associated with an immuno-hot tumor microenvironment in hepatocellular carcinoma

description: Additional file 1. Supplementary Tables 1-4 and 7-15. Table S1. 50 immunomodulators. Table S2. Effector genes of TIICs. Table S3. Gene sets of therapeutic signatures. Table S4. Gene sets of cell death signatures. Table S7. Co-Expressed genes of NAPSB. Table S8. Upregulated expressed genes between NAPSB subgroups. Table S9. Common genes of co-expressed genes and upregulated DEGs. Table S10. Functional annotation and pathway analysis for common genes (Gene Ontology-Biological process). Table S11. Functional annotation and pathway analysis for common genes (KEGG pathways).
DOI: 10.6084/m9.figshare.22619908
title: Additional file 3 of IL-33-mediated activation of mast cells is involved in the progression of imiquimod-induced psoriasis-like dermatitis

description: Additional file 2. Table S3. Differentially expressed genes
DOI: 10.6084/m9.figshare.22619887
title: Additional file 4 of Clinical significance of nonerythrocytic spectrin Beta 1 (SPTBN1) in human kidney renal clear cell carcinoma and uveal melanoma: a study based on Pan-Cancer Analysis

description: Supplementary Material 4
DOI: 10.6084/m9.figshare.20522709.v1
title: Additional file 11 of Phenotypic screen and transcriptomics approach complement each other in functional genomics of defensive stink gland physiology

description: Additional file 11. FASTA file 69 proteins (separate text file). Amino acid sequences in FASTA format of the 69 encoded proteins used for analyzes in BlastKOALA and eggNOGmapper with the identifiers listed as ‘query’ in Additional file 2: Supplementary Table S2.
DOI: 10.6084/m9.figshare.22619714
title: Additional file 10 of Cell-specific clock-controlled gene expression program regulates rhythmic fiber cell growth in cotton

description: Additional file 10: Table S9. List of 8-mer motifs and their target genes.
DOI: 10.17632/74shtt6skp.1
title: ILVEN should be genotyped to direct treatment and genetic counselling

description: Supplementary figure 1
DOI: 10.5281/zenodo.10633889
title: Influence of controlled deficit irrigation on tomato functional value

description: AcknowledgementsThis research was partially funded by the Spanish national government (INIA, RTA2011-00062), an Spanish regional government(Gobierno de Extremadura, GRU-10130) and the European Union (FEDER funds).




Link to publication:
https://doi.org/10.1016/j.foodchem.2018.01.098


Link to repository:
http://hdl.handle.net/10234/175130
DOI: 10.5281/zenodo.10633890
title: Influence of controlled deficit irrigation on tomato functional value

description: AcknowledgementsThis research was partially funded by the Spanish national government (INIA, RTA2011-00062), an Spanish regional government(Gobierno de Extremadura, GRU-10130) and the European Union (FEDER funds).




Link to publication:
https://doi.org/10.1016/j.foodchem.2018.01.098


Link to repository:
http://hdl.handle.net/10234/175130
DOI: 10.6084/m9.figshare.12133986.v1
title: Additional file 1 of Equity and efficiency of maternal and child health resources allocation in Hunan Province, China

description: Additional file 1. The distribution of maternal and child health care resources in Hunan in 2017. Table. The general information on maternal and child health care resources distribution in Hunan in 2017.
DOI: 10.6084/m9.figshare.12134241.v1
title: Additional file 10 of Identification and application of piwi-interacting RNAs from seminal plasma exosomes in Cynoglossus semilaevis

description: Additional file 10. The RT-qPCR datas of the expressions of all six piRNA markers
DOI: 10.6084/m9.figshare.20522709
title: Additional file 11 of Phenotypic screen and transcriptomics approach complement each other in functional genomics of defensive stink gland physiology

description: Additional file 11. FASTA file 69 proteins (separate text file). Amino acid sequences in FASTA format of the 69 encoded proteins used for analyzes in BlastKOALA and eggNOGmapper with the identifiers listed as ‘query’ in Additional file 2: Supplementary Table S2.
DOI: 10.6084/m9.figshare.22619717
title: Additional file 11 of Cell-specific clock-controlled gene expression program regulates rhythmic fiber cell growth in cotton

description: Additional file 11: Table S10. List of G-box containing genes with WT enriched ATAC-seq peak.
DOI: 10.6084/m9.figshare.22619705
title: Additional file 7 of Cell-specific clock-controlled gene expression program regulates rhythmic fiber cell growth in cotton

description: Additional file 7: Table S6. Gene list and expression levels of circadianly expressed genes.
DOI: 10.6084/m9.figshare.22619708.v1
title: Additional file 8 of Cell-specific clock-controlled gene expression program regulates rhythmic fiber cell growth in cotton

description: Additional file 8: Table S7. List of active chromatin regions (ACRs).
DOI: 10.6084/m9.figshare.22619893.v1
title: Additional file 6 of Clinical significance of nonerythrocytic spectrin Beta 1 (SPTBN1) in human kidney renal clear cell carcinoma and uveal melanoma: a study based on Pan-Cancer Analysis

description: Supplementary Material 6
DOI: 10.6084/m9.figshare.22619720.v1
title: Additional file 12 of Cell-specific clock-controlled gene expression program regulates rhythmic fiber cell growth in cotton

description: Additional file 12: Table S11. List of TCP motif and TCP-like motif target genes with the highest C3 expression.
DOI: 10.6084/m9.figshare.22619890
title: Additional file 5 of Clinical significance of nonerythrocytic spectrin Beta 1 (SPTBN1) in human kidney renal clear cell carcinoma and uveal melanoma: a study based on Pan-Cancer Analysis

description: Supplementary Material 5
DOI: 10.6084/m9.figshare.12134067
title: Additional file 1 of Identification and analysis of the FAD gene family in walnuts (Juglans regia L.) based on transcriptome data

description: Additional file 1 : Table S1 Expression data of genes associated with unsaturated fatty acid biosynthesis.
DOI: 10.6084/m9.figshare.12134241
title: Additional file 10 of Identification and application of piwi-interacting RNAs from seminal plasma exosomes in Cynoglossus semilaevis

description: Additional file 10. The RT-qPCR datas of the expressions of all six piRNA markers
DOI: 10.6084/m9.figshare.22619890.v1
title: Additional file 5 of Clinical significance of nonerythrocytic spectrin Beta 1 (SPTBN1) in human kidney renal clear cell carcinoma and uveal melanoma: a study based on Pan-Cancer Analysis

description: Supplementary Material 5
DOI: 10.6084/m9.figshare.25187870
title: data and materials

description: Syntactic processing is believed to aid in sentence comprehension. However, parsing often requires a prior sentence interpretation. This circular logic indicates the limited role of syntactic processing in sentence understanding, raising a question of whether Chinese speakers fully utilize parsing for English sentence comprehension. This study conducts an empirical experiment comprising five sub-experiments with statistical analysis, revealing that many Chinese speakers underutilize syntactic processing to comprehend English sentences. It elucidates three categories of parsing utilization for sentence interpretation: utilization of syntactic processing in sentence comprehension, partial underutilization and complete underutilization of syntactic processing in sentence comprehension. Further exploration of the reasons behind partial and complete underutilization led to the identification of trial and error as a contributing factor. Consequently, this study lays a strong foundation for the development of an innovative parsing method designed to integrate syntactic processing into sentence comprehension, thereby enhancing English sentence comprehension skills for Chinese speakers.
DOI: 10.6084/m9.figshare.22619834
title: Additional file 1 of Splicing complexity as a pivotal feature of alternative exons in mammalian species

description: Additional file 1.
DOI: 10.6084/m9.figshare.22619908.v1
title: Additional file 3 of IL-33-mediated activation of mast cells is involved in the progression of imiquimod-induced psoriasis-like dermatitis

description: Additional file 2. Table S3. Differentially expressed genes
DOI: 10.6084/m9.figshare.22619837.v1
title: Additional file 2 of Splicing complexity as a pivotal feature of alternative exons in mammalian species

description: Additional file 2.
DOI: 10.6084/m9.figshare.12134265
title: Additional file 2 of Identification and application of piwi-interacting RNAs from seminal plasma exosomes in Cynoglossus semilaevis

description: Additional file 2. List of 7070 novel piRNAs categories in ZZ donorgroup.
DOI: 10.6084/m9.figshare.12134268
title: Additional file 3 of Identification and application of piwi-interacting RNAs from seminal plasma exosomes in Cynoglossus semilaevis

description: Additional file 3. List of 11,588 novel piRNAs categories in ZW donor group
DOI: 10.6084/m9.figshare.12134268.v1
title: Additional file 3 of Identification and application of piwi-interacting RNAs from seminal plasma exosomes in Cynoglossus semilaevis

description: Additional file 3. List of 11,588 novel piRNAs categories in ZW donor group
DOI: 10.6084/m9.figshare.12134259
title: Additional file 1 of Identification and application of piwi-interacting RNAs from seminal plasma exosomes in Cynoglossus semilaevis

description: Additional file 1 List of 14,006 non repetitive novel piRNAs predicted from both pseudomales (ZW) and male (ZZ) donors of Cynoglossus semilaevis.
DOI: 10.6084/m9.figshare.12134286
title: Additional file 9 of Identification and application of piwi-interacting RNAs from seminal plasma exosomes in Cynoglossus semilaevis

description: Additional file 9. List of 16 target genes related to transposition, especially heterochromatin formation identified together with their 10 interacting piRNAs.
DOI: 10.17632/my23s4z3rm.1
title: Climate Policy Uncertainty Affect Corporate Investment-Financing Maturity Mismatch

description: Raw data and Stata do files
DOI: 10.5281/zenodo.10633908
title: Curve Sprint in Female Soccer Players
DOI: 10.5281/zenodo.10633909
title: Curve Sprint in Female Soccer Players
DOI: 10.17632/vf88hx6cg8.1
title: DATA publication

description: this data article explores the criteria that affect the precision of estimating the cost of sports projects from the perspective of engineers at the Iraqi Ministry of Youth and Sports. The data was obtained by using qualitative and quantitative research methods were adopted in collecting and analysing the data. Based on the literature review, a questionnaire was prepared and then distributed to Engineering of the Iraqi Ministry of Youth and Sports, as the sample size reached 44 individuals. The findings reveal that the top 15 affecting criteria out of fifty-five are: repetition, difference in construction value, additional work (change orders), precision of tables of quantities, continuous updating of the design requirements for sports stadiums according to FIFA conditions, clarity of drawings and specifications, labour cost, economic situation, type of sports fields (international or local), duration of the project, building materials prices, type of contract, equipment cost, sports field location, experience and skill level of the appraiser, Project documentation are complete, and the cost data and details are complete. Competence and leadership of the project manager. The data can provide an original perspective on the concept of cost estimation accuracy as it relates to project efficiency based on a literature review and empirical evidence
DOI: 10.6084/m9.figshare.12134271
title: Additional file 4 of Identification and application of piwi-interacting RNAs from seminal plasma exosomes in Cynoglossus semilaevis

description: Additional file 4. List of 26,135 differentially expressed piRNAs identified according to the criteria detailed in the methods section in the males and pseudomales.
DOI: 10.6084/m9.figshare.12134271.v1
title: Additional file 4 of Identification and application of piwi-interacting RNAs from seminal plasma exosomes in Cynoglossus semilaevis

description: Additional file 4. List of 26,135 differentially expressed piRNAs identified according to the criteria detailed in the methods section in the males and pseudomales.
DOI: 10.58119/ulg/qjj0sa/vfne4f
title: LASLA_Dictionary.pdf

description: :unav
DOI: 10.58119/ulg/qjj0sa/pddrtd
title: 01Plautus_Plautus_Amphitruo_PlAmphi.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/0qnmkj
title: Cicero_PhilippicaOratio_CicPhi13.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/fe7pmh
title: 31SenTragoediae_Seneca_Thyestes_SenThyes.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/mgh8xu
title: 37DeSenectute_Cicero_DeSenectute_CicSenec.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/iwxsul
title: 25SenLuc75a99_Seneca_AdLuciliumEpistulaeMorales_SenEpist75a99.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/9pparq
title: 30SenTractatus_Seneca_DeVitaBeata_SenVitBe.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/u1asqy
title: 09HorCarm_Horatius_Carmina_HorCarm3.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/k4k7gk
title: 39Suetonius_Suetonius_VitaeCaesarum_SueVC06.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/o6i1gc
title: Plautus_Aulularia_PlAulul.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/tw45n7
title: 15Suetonius_VitaeCaesarum_SueVC10.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/m0cft1
title: 17Livius_Livius_AbVrbeCondita_TLiv09.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/nv3vld
title: 19Aeneis_Vergilius_Aeneis_VerAen07.APN

description: :unav
DOI: 10.5281/zenodo.8338300
title: The predicted values of HiSIF-DTA on the Davis, KIBA, and Human test sets

description: We propose a novel DTA prediction model that enables hierarchical fusion of protein semantic information to enrich protein representations and enhance DTA prediction performance. Simultaneously, we have designed two different backbones for semantic information fusion: Top-Down (TDNet) and Bottom-Up (BUNet). To validate the superiority of the model, we have trained and tested it on DTA datasets (davis and kiba) as well as the CPI dataset (Human). These files contain the predicted values of the two backbones of HiSIF-DTA on the test sets of the three datasets. **Please note that these predicted values are specific to the HiSIF-DTA model and the respective test datasets mentioned. **
DOI: 10.5281/zenodo.8338299
title: The predicted values of HiSIF-DTA on the Davis, KIBA, and Human test sets

description: We propose a novel DTA prediction method (<strong>HiSIF-DTA</strong>) that enables hierarchical fusion of protein semantic information to enrich protein representations and enhance DTA prediction performance. Simultaneously, we have designed two different backbones for semantic information fusion: <strong><em>Top-Down</em></strong> (TDNet) and <strong><em>Bottom-Up</em></strong> (BUNet). To validate the superiority of the model, we have trained and tested it on DTA datasets (davis and kiba) as well as the CPI dataset (Human). These files contain the predicted values of all models used in HiSIF-DTA on the test sets of these three datasets. <strong>**Please note that these predicted values are specific to the models in HiSIF-DTA and the respective test datasets mentioned. **</strong>
DOI: 10.5281/zenodo.8381901
title: The predicted values of HiSIF-DTA on the Davis, KIBA, and Human test sets

description: We propose a novel DTA prediction method (<strong>HiSIF-DTA</strong>) that enables hierarchical fusion of protein semantic information to enrich protein representations and enhance DTA prediction performance. Simultaneously, we have designed two different backbones for semantic information fusion: <strong><em>Top-Down</em></strong> (TDNet) and <strong><em>Bottom-Up</em></strong> (BUNet). To validate the superiority of the model, we have trained and tested it on DTA datasets (davis and kiba) as well as the CPI dataset (Human). These files contain the predicted values of all models used in HiSIF-DTA on the test sets of these three datasets. <strong>**Please note that these predicted values are specific to the models in HiSIF-DTA and the respective test datasets mentioned. **</strong>
DOI: 10.5281/zenodo.8385043
title: The predicted values of HiSIF-DTA on the Davis, KIBA, and Human test sets

description: We propose a novel DTA prediction method (<strong>HiSIF-DTA</strong>) that enables hierarchical fusion of protein semantic information to enrich protein representations and enhance DTA prediction performance. Simultaneously, we have designed two different backbones for semantic information fusion: <strong><em>Top-Down</em></strong> (TDNet) and <strong><em>Bottom-Up</em></strong> (BUNet). To validate the superiority of the model, we have trained and tested it on DTA datasets (davis and kiba) as well as the CPI dataset (Human). These files contain the predicted values of all models used in HiSIF-DTA on the test sets of these three datasets. <strong>**Please note that these predicted values are specific to the models in HiSIF-DTA and the respective test datasets mentioned. **</strong>
DOI: 10.5281/zenodo.8385073
title: The predicted values of HiSIF-DTA on the Davis, KIBA, and Human test sets

description: We propose a novel DTA prediction method (<strong>HiSIF-DTA</strong>) that enables hierarchical fusion of protein semantic information to enrich protein representations and enhance DTA prediction performance. Simultaneously, we have designed two different backbones for semantic information fusion: <strong><em>Top-Down</em></strong> (TDNet) and <strong><em>Bottom-Up</em></strong> (BUNet). To validate the superiority of the model, we have trained and tested it on DTA datasets (davis and kiba) as well as the CPI dataset (Human). These files contain the predicted values of all models used in HiSIF-DTA on the test sets of these three datasets. <strong>**Please note that these predicted values are specific to the models in HiSIF-DTA and the respective test datasets mentioned. **</strong>
DOI: 10.58119/ulg/qjj0sa/fcxkzk
title: 15ProSulla_Cicero_ProSulla_CicSul.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/kuuri8
title: 36Fragmenta_Cicero_ProCFundanioFragmenta_CicCFund.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/k7cuwc
title: 13DeBen3a4_Seneca_DeBeneficiis_SenBenef3a4.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/uv0qva
title: 14CicDial_Cicero_DeAmicitia_CicAmici.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/ajr5t0
title: Tacitus_TacAnnales_TacAnn11.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/v5x5om
title: 08Annal01_Tacitus_TacAnnales_TacAnn01.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/8vhu4q
title: 08Cic2Verrem_Cicero_InVerremActioSecunda_Cic2Ver5.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/3dhy5g
title: 13InCatilinam_Cicero_InCatilinam_CicCat4.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/p8odt5
title: 08SenMarcia_Seneca_AdMarciamDeConsolatione_SenMarci.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/oqcpnu
title: 05BGallicum_Caesar_BellumGallicum_CaesBG4.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/ejcn4u
title: 16OviMedRem_Ovidius_MedicaminaFacieiFemineae_OviMedic.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/rzrvy4
title: Curtius_CurtiusHistoriaeAlexandriMagni_QCurt05.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/b7rqr1
title: Persius_PersiusSatirae_PersiusS.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/pd9b3g
title: 23InVatinium_Cicero_InVatinium_CicVatin.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/xrf0ij
title: Cicero_ProOppioFragmenta_CicOppio.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/6u4qev
title: 14SenTranquil_Seneca_DeTranquillitateAnimi_SenTranq.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/akg5ve
title: 21DeHarResp_Cicero_DeHaruspicumResponso_CicHarus.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/hblemp
title: Cato_CatoOrigines_CatOrig.APN

description: :unav
DOI: 10.6084/m9.figshare.24208578.v1
title: Understanding the Incentive Mechanism of Bounty Issues in Open Source Communities

description: All code and data used in the paper <i>“Understanding the Incentive Mechanism of Bounty Issues in Open Source Communities”</i>Directory Structure<pre>├─characteristics<br>├─detector<br>├─model<br>│ └─internalCsv<br>├─motivation<br>│ ├─commits<br>│ │ ├─commitImages<br>│ │ ├─internalCsv<br>│ │ └─repoCommits<br>│ └─issues<br>│ ├─internalCsv<br>│ └─issueImages<br>├─rawData<br>└─survey</pre>Content navigation<b>survey: </b>Response information received from the survey we issued.<b>rawData:</b> Source data on Gitcoin and data set statistics related information.<b>motivation:</b> Statistical result in RQ1.<b>characteristics:</b> Statistical result in RQ2.<b>model:</b> The GAM model we established in RQ4.<b>detector:</b> The detector we constructed in RQ5.
DOI: 10.5281/zenodo.8385040
title: BioimageVision-SpeedTIFIO-Read the test data

description: 读取测试数据
DOI: 10.5281/zenodo.8385039
title: BioimageVision-SpeedTIFIO-Read the test data

description: 读取测试数据
DOI: 10.34740/kaggle/dsv/6559780
title: Motor Vehicle Collisions - Crashes-New York