cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3981414
title: Human and mouse ALS tissue sections immunolabeled for FUS, SFPQ, ChAT and counterstained with DAPI'

description: Multichannel microscopy data from histopathological sections of 1/ Tissue sections from spinal cord of SOD1- and VCP-mutant ALS mouse models together with control immunolabeled for FUS, SFPQ, ChAT and counterstained with DAPI. 2/ Tissue sections from spinal cord of Healthy and sporadic ALS donors immunolabeled for FUS or SFPQ, ChAT and counterstained with DAPI. 3/ Scripts to preprocess these images. These two series of multichannel fluorescent microscopy data have been used in several manuscripts including: <strong>Luisier R, Tyzack GE, Hall CE, Mitchell JS, Devine H, Taha DM, et al. Intron retention and nuclear loss of SFPQ are molecular hallmarks of ALS. Nat Commun 2018; 9: 2010.</strong> <strong>Tyzack GE, Luisier R, Taha DM, Neeves J, Modic M, Mitchell JS, et al. Widespread FUS mislocalization is a molecular hallmark of amyotrophic lateral sclerosis. Brain 2019; 142: 2572–80.</strong>
DOI: 10.7939/dvn/nd1f1a/njscu4
title: istate.F90
DOI: 10.7939/dvn/nd1f1a/yzdwur
title: ldfdyn.F90
DOI: 10.7939/dvn/nd1f1a/elrseo
title: ldfdyn_oce.F90
DOI: 10.7939/dvn/nd1f1a/jwfsoi
title: ldfslp.F90
DOI: 10.7939/dvn/nd1f1a/wimqg8
title: ldftra.F90
DOI: 10.7939/dvn/nd1f1a/y2guzk
title: limsbc_2.F90
DOI: 10.7939/dvn/nd1f1a/fsaq5s
title: namelist.ANHA4-EXH005
DOI: 10.7939/dvn/nd1f1a/f6fmdu
title: namelist_ice_lim2
DOI: 10.7939/dvn/nd1f1a/xwm5vh
title: namelist_top
DOI: 10.7939/dvn/nd1f1a/ui7rm4
title: namelistio
DOI: 10.7939/dvn/nd1f1a/psohki
title: nemogcm.F90
DOI: 10.7939/dvn/nd1f1a/nx66hr
title: obcdta.F90
DOI: 10.7939/dvn/nd1f1a/v0cjyx
title: obcini.F90
DOI: 10.7939/dvn/nd1f1a/uwx5bt
title: obcvol.F90
DOI: 10.7939/dvn/nd1f1a/l7gdrf
title: oce_trc.F90
DOI: 10.7939/dvn/nd1f1a/2ibcsw
title: par_bling.F90
DOI: 10.7939/dvn/nd1f1a/rhcten
title: par_my_trc.F90
DOI: 10.7939/dvn/nd1f1a/l1xhjk
title: sbcblk_core.F90
DOI: 10.7939/dvn/nd1f1a/oq2jwg
title: sbcice_lim_2.F90
DOI: 10.7939/dvn/nd1f1a/e6sg5q
title: sbcmod.F90
DOI: 10.7939/dvn/nd1f1a/y5baxv
title: step.F90
DOI: 10.7939/dvn/nd1f1a/fdy5f9
title: step_c1d.F90
DOI: 10.7939/dvn/nd1f1a/cnwini
title: trabbl.F90
DOI: 10.7939/dvn/nd1f1a/hi4ykf
title: traldf.F90
DOI: 10.7939/dvn/nd1f1a/iavgp8
title: traldf_iso.F90
DOI: 10.7939/dvn/nd1f1a/fxiitg
title: trc.F90
DOI: 10.7939/dvn/nd1f1a/pdhukl
title: trcbbl.F90
DOI: 10.7939/dvn/nd1f1a/ugpkdj
title: trcini_my_trc.F90
DOI: 10.7939/dvn/nd1f1a/aigjz5
title: trcnam.F90
DOI: 10.7939/dvn/nd1f1a/1xlgch
title: trcnam_my_trc.F90
DOI: 10.7939/dvn/nd1f1a/dujoao
title: trcrad.F90
DOI: 10.7939/dvn/nd1f1a/3nbnz1
title: trcrst.F90
DOI: 10.7939/dvn/nd1f1a/chtsxz
title: trcrst_my_trc.F90
DOI: 10.7939/dvn/nd1f1a/mv9vtg
title: trcsbc.F90
DOI: 10.7939/dvn/nd1f1a/mn2udn
title: trcsms.F90
DOI: 10.7939/dvn/nd1f1a/lzh8iw
title: trcsms_blingv0.F90
DOI: 10.7939/dvn/nd1f1a/xm76z3
title: trcsms_my_trc.F90
DOI: 10.7939/dvn/nd1f1a/jnea8p
title: trcstp.F90
DOI: 10.7939/dvn/nd1f1a/geqqov
title: vectopt_loop_substitute.h90
DOI: 10.7939/dvn/nd1f1a/geopia
title: zdfbfr.F90
DOI: 10.7939/dvn/nd1f1a/wswkkx
title: zdfini.F90
DOI: 10.7939/dvn/nd1f1a/sxg20i
title: zdfmxl.F90
DOI: 10.7939/dvn/nd1f1a/joq6qs
title: zdftke.F90
DOI: 10.7939/dvn/nd1f1a
title: ANHA4-EXH005

description: NEMO version: v3.4 LIM version: 2 Atmospheric Forcing: CGRF Runoff: Interannual Monthly with Greenland Melt Open Boundary Condition: GLORYS2V3 Initial Condition: GLORYS2V3 Output frequency: 5 days Others: Note, runoff from Greenland (Bamber et al., 2012) liquid only, so only ~50% of total (no icebergs/calving)
DOI: 10.7939/dvn/nd1f1a/kxg1cw
title: albedo.F90
DOI: 10.7939/dvn/nd1f1a/z05beh
title: ANHA4-EXH005.db
DOI: 10.7939/dvn/nd1f1a/47yqps
title: ANHA4-EXH005.ksh
DOI: 10.7939/dvn/nd1f1a/ppzxml
title: CPP.keys
DOI: 10.7939/dvn/nd1f1a/ylnlwr
title: diawri.F90
DOI: 10.7939/dvn/nd1f1a/e4sj4q
title: diawri_dimg.h90
DOI: 10.7939/dvn/nd1f1a/bqgigc
title: domzgr_substitute.h90
DOI: 10.7939/dvn/nd1f1a/chyey0
title: dynldf_iso.F90
DOI: 10.7939/dvn/nd1f1a/t9qztm
title: fldread.F90
DOI: 10.7939/dvn/nd1f1a/vgjre4
title: in_out_manager.F90
DOI: 10.15468/3h586g
title: Checklist of earthworm species (Oligochaeta) of the North Eastern Region of India

description: This dataset contains the digitized treatments in Plazi based on the original journal article Tiwari, Nalini, Paliwal, R., Rashid, Azhar, Yadav, Shweta (2020): Checklist of earthworm species (Oligochaeta) of the North Eastern Region of India. Zootaxa 4772 (2): 277-305, DOI: https://doi.org/10.11646/zootaxa.4772.2.3
DOI: 10.6084/m9.figshare.20579637.v1
title: Additional file 2 of Integrated single-cell RNA-seq and DNA methylation reveal the effects of air pollution in patients with recurrent spontaneous abortion

description: Additional file 2: Table 2. Total of DMR between patients with RSA and controls detected through RRBS.
DOI: 10.6084/m9.figshare.14812471.v1
title: Additional file 14 of Conversion between 100-million-year-old duplicated genes contributes to rice subspecies divergence

description: Additional file 14: Table S8. GO analysis of converted genes and nonconverted genes in GJ, XI-MH63, and XI-ZS97.
DOI: 10.24403/jp.1323233
title: Hubbard, C. E.: Gräser : Beschreibung, Verbreitung, Verwendung. - 2. Aufl. - Stuttgart : Verlag Eugen Ulmer, 1985 / [rezensiert von] H. Manitz
DOI: 10.24403/jp.1323234
title: Düll, R.: Exkursionstaschenbuch der wichtigsten Moose Deutschlands. - Rheurdt : LDH-Verlag für Bryologie und Ökologie, 1985 / [rezensiert von] H.-J. Zündorf
DOI: 10.34740/kaggle/dsv/7610150
title: Egypt Gold Prices | Daily Updated
DOI: 10.6084/m9.figshare.20581014.v1
title: Additional file 1 of A two-stage genome-wide association study to identify novel genetic loci associated with acute radiotherapy toxicity in nasopharyngeal carcinoma

description: Additional file 1: Fig. S1. Diagram of data processing flow. Bioinformatics tools utilized in each step were showed in blue in the brackets. Detailed parameters and quality control criteria were indicated with red. Fig. S2. Distribution of samples according to PCA analysis in discovery stage. The red and green spots represented two different groups of patients. The results showed that no stray samples appeared in all five toxicities. Fig. S3. Quantile–quantile (QQ) plot of observed association P values (y-axis) against expected P values (x-axis) in the discovery stage. Fig. S4. Establishment of prediction models for skin reaction (A and B) and dysphagia toxicities (C and D). For each toxicity, patients were firstly randomly divided into two groups, which used to establish (A and C) and test models (B and D) respectively. Then, three multivariable logistic regression models with genetic factors only, clinical factors only and combination of both genetic and clinical factors were established. The genetic model only involved genetic factors: rs6711678, rs4848597, rs4848598 and rs2091255 for skin reaction, and rs584547 for dysphagia. During the calculation, rs6711678, rs4848597, rs4848598 and rs2091255 were combined as polygenic risk scores. The clinical model involved clinical factors only, which include age, sex, BMI, smoking status, stage, EBV infection and radiotherapeutic regimen. The combined model integrated both genetic and clinical factors. BMI: body mass index, EBV: Epstein-Barr virus, AUC: area under curve. Fig. S5. The MAF of rs6711678, rs4848597, rs4848598, rs2091255 and rs584547 in different ethnic populations. AFR: African, EAS: East Asian, EUR: Europe, AMR: American, SAS: South Asian, LAM: Latin American. Table S1. Characteristics of NPC patients involved in skin reaction association analysis. Table S2. Characteristics of NPC patients involved in dysphagia association analysis. Table S3. Characteristics of NPC patients involved in oral mucositis association analysis. Table S4. Characteristics of NPC patients involved in salivary glands toxicity association analysis. Table S5. Characteristics of NPC patients involved in myelosuppression association analysis. Table S6. Stratified analysis of the association between skin reaction and chromosome 2q14.2 loci. Table S7. Association between therapeutic response and chromosome 2q14.2 loci in the stratified patients.
DOI: 10.6084/m9.figshare.20056739
title: Additional file 1 of Letter to the Editor: An ultra-sensitive assay using cell-free DNA fragmentomics for multi-cancer early detection

description: Additional file 1 : Supplementary Table 1. Participant demographics and baseline characteristics. Supplementary Table 2. Performance of the first-level cancer detection model. Supplementary Table 3. Performances of the cancer detection model on different subgroups based on clinical characteristics. Supplementary Table 4. Cancer detection model robustness test using downsampled (4× to 1× coverage depths) WGS data. Each downsampled coverage depth was repeated five times. Supplementary Table 5. Performances of the cancer detection model on extra healthy volunteer and at-risk patient cohort. Supplementary Table 6. The performance of the second level cancer origin model shown in the confusion matrix table. Supplementary Table 7. Cancer origin model robustness test using downsampled (4× to 1× coverage depths) WGS data. Each downsampled coverage depth was repeated five times.
DOI: 10.6084/m9.figshare.20056739.v1
title: Additional file 1 of Letter to the Editor: An ultra-sensitive assay using cell-free DNA fragmentomics for multi-cancer early detection

description: Additional file 1 : Supplementary Table 1. Participant demographics and baseline characteristics. Supplementary Table 2. Performance of the first-level cancer detection model. Supplementary Table 3. Performances of the cancer detection model on different subgroups based on clinical characteristics. Supplementary Table 4. Cancer detection model robustness test using downsampled (4× to 1× coverage depths) WGS data. Each downsampled coverage depth was repeated five times. Supplementary Table 5. Performances of the cancer detection model on extra healthy volunteer and at-risk patient cohort. Supplementary Table 6. The performance of the second level cancer origin model shown in the confusion matrix table. Supplementary Table 7. Cancer origin model robustness test using downsampled (4× to 1× coverage depths) WGS data. Each downsampled coverage depth was repeated five times.
DOI: 10.24403/jp.1323235
title: Habermehl, G.: Mitteleuropäische Giftpflanzen und ihre Wirkstoffe : Ein Buch für Biologen und Chemiker, Ärzte und Veterinäre, Apotheker und Toxikologen. - Berlin ; Heidelberg ; New York ; Tokyo : Springer Verlag, 1985 / [rezensiert von] B. Liebermann
DOI: 10.24403/jp.1323236
title: Slobodda, S.: Pflanzengemeinschaften und ihre Umwelt. - Leipzig ; Jena ; Berlin : Urania-Verlag, 1985 / [rezensiert von] H.-J. Zündorf
DOI: 10.6084/m9.figshare.6953753.v1
title: Additional file 1: of TSSC3 promotes autophagy via inactivating the Src-mediated PI3K/Akt/mTOR pathway to suppress tumorigenesis and metastasis in osteosarcoma, and predicts a favorable prognosis

description: Supplementary Materials and Methods. (RTF 91 kb)
DOI: 10.6084/m9.figshare.14818100
title: Circular RNA circHIPK3 promotes breast cancer progression via sponging MiR-326

description: <b>Background</b>: This study investigated the potential molecular mechanism of circular RNA HIPK3 (circHIPK3) in breast cancer (BCa). <b>Methods</b>: BCa cells were transfected with miR-326 mimic, miR-326 inhibitor, circHIPK3, sicircHIPK3. The expressions of circHIPK3 and miR-326 in BCa tissues and BCa cell lines were determined by RT-qPCR. Cell viability, colony formation, migration, invasion, and apoptosis of the cells were detected by CCK-8 and colony formation, wound-healing, transwell and flow cytometric assays, respectively. The relationship between circHIPK3 and miR-326 was analyzed and confirmed by circInteractome, dual-luciferase reporter, RT-qPCR, Pearson’s correlation assays. Western blot and RT-qPCR were performed to determine the expressions of apoptosis-related molecules (Bcl-2, Bax, and cleaved Caspase-3) and EMT-related molecules (E-cadherin, N-cadherin, and Vimentin) in the BCa cells and tumor tissues. The tumor growth in mice was examined in a xenograft tumor model in which Ki-67 expression was determined by immunohistochemistry (IHC). <b>Results</b>: In BCa, the expression of circHIPK3 was up-regulated and that of miR-326 was down-regulated. CircHIPK3 knockdown inhibited the cell proliferation, invasion, and migration. MiR-326 was the direct target of circHIPK3, and was inversely correlated with circHIPK3 expression. CircHIPK3 overexpression promoted proliferation, migration, invasion, apoptosis resistance, and tumor growth and up-regulated Ki-67 expression, at the same time, the expressions of Bcl-2, N-cadherin, Vimentin were up-regulated, and those of Bax, cleaved Caspase-3 and E-cadherin were inhibited. These above expressions were partially reversed by miR-326 overexpression. <b>Conclusion</b>: CircHIPK3 sponges miR-326 to promote BCa growth and metastasis. The current findings provide a novel therapeutic target for treating BCa.
DOI: 10.6084/m9.figshare.14812492.v1
title: Additional file 19 of Conversion between 100-million-year-old duplicated genes contributes to rice subspecies divergence

description: Additional file 19: Table S12. Expression level of converted and nonconverted gene pairs in GJ, XI-MH63, and XI-ZS97.
DOI: 10.6084/m9.figshare.22678334
title: Additional file 3 of FGFR4 and EZH2 inhibitors synergistically induce hepatocellular carcinoma apoptosis via repressing YAP signaling

description: Additional file 3: Table S2. Information of the antibodies.
DOI: 10.24403/jp.1323237
title: Hempel, W. & Schiemenz, H.: Die Naturschutzgebiete der Bezirke Leipzig, Karl- Marx-Stadt und Dresden. - Handbuch der Naturschutzgebiete der Deutschen Demokratischen Republik, 5. - 2. Aufl. - Leipzig ; Jena ; Berlin : Urania-Verlag, 1986 / [rezensiert von] H.-J. Zündorf
DOI: 10.24403/jp.1323241
title: Stephan Rauschert (1931-1986)
DOI: 10.6084/m9.figshare.22678334.v1
title: Additional file 3 of FGFR4 and EZH2 inhibitors synergistically induce hepatocellular carcinoma apoptosis via repressing YAP signaling

description: Additional file 3: Table S2. Information of the antibodies.
DOI: 10.6084/m9.figshare.22678331
title: Additional file 2 of FGFR4 and EZH2 inhibitors synergistically induce hepatocellular carcinoma apoptosis via repressing YAP signaling

description: Additional file 2: Table S1. List of the qRT-PCR primers.
DOI: 10.6084/m9.figshare.22678331.v1
title: Additional file 2 of FGFR4 and EZH2 inhibitors synergistically induce hepatocellular carcinoma apoptosis via repressing YAP signaling

description: Additional file 2: Table S1. List of the qRT-PCR primers.
DOI: 10.6084/m9.figshare.20056787
title: Additional file 4 of A model for genuineness detection in genetically and phenotypically similar maize variety seeds based on hyperspectral imaging and machine learning

description: Additional file 4: Machine learning code.
DOI: 10.6084/m9.figshare.8002835
title: Additional file 1: of Genome-wide association study of resistance to stripe rust (Puccinia striiformis f. sp. tritici) in Sichuan wheat

description: The 244 wheat accessions used in this study and the evaluation of their infection type (IT) and disease Severity (DS) in six environments. (XLSX 36 kb)
DOI: 10.6084/m9.figshare.8002844.v1
title: Additional file 3: of Genome-wide association study of resistance to stripe rust (Puccinia striiformis f. sp. tritici) in Sichuan wheat

description: Summary of genetic diversity between landraces and cultivars with 44,059 SNP markers. (XLSX 10 kb)
DOI: 10.6084/m9.figshare.8002853.v1
title: Additional file 5: of Genome-wide association study of resistance to stripe rust (Puccinia striiformis f. sp. tritici) in Sichuan wheat

description: The distribution of the favorable alleles in 244 wheat accessions. (XLSX 32 kb)
DOI: 10.6084/m9.figshare.12721469
title: Leaf litter lignin degradation in response to understory vegetation removal in a Masson plantation

description: data
DOI: 10.6084/m9.figshare.8002916
title: Additional file 5: of DegNorm: normalization of generalized transcript degradation improves accuracy in RNA-seq analysis

description: Table S3. This table compares the sensitivity (true-positive rate) achieved by different normalization methods in the differential expression analysis at FPR (false-positive rate) threshold = 0.05 for simulations Iâ IV. (XLSX 8 kb)
DOI: 10.15151/esrf-es-1435807379
title: EXAFS investigation on the incorporation mechanisms of Tl and Pb within the structures of pyrochlores and hollandites.

description: Hollandites and pyrochlores are minerals featuring tunnel-like cavities within which a wide variety of mono- and divalent cations can be hosted. The aim of our project is to evaluate the ability of such structures to incorporate and remove heavy metals from contaminated waters. Preliminary experiments revealed that both pyrochlores and hollandites can incorporate Tl and Pb via ionic exchange.
We want to perform XAS measurements at the L3 edge of Tl and Pb on exchanged samples of pyrochlores and hollandites to obtain information on the coordination environment of Tl and Pb within the tunnels of the crystal lattice of hollandites and pyrochlores. Specifically, we want to determine the incorporation mechanisms and the effect of the ionic exchanges on the local structure by means of EXAFS quantitative analysis of Tl and Pb.
DOI: 10.24403/jp.1323250
title: Hegi, G.: Illustrierte Flora von Mitteleuropa, 6 (4) : Compositae II: Matricaria - Hieracium, (Hrsg. G. Wagenitz). - 2. Aufl. - Berlin und Hamburg : Verlag Paul Paray, 1987 / [rezensiert von] H. Manitz
DOI: 10.6073/pasta/972e85c197c3e30e27312ec6515ea2e9
title: Sapelo Island Marsh pCO2, turbidity, and salinity, Summer 2021

description: This data package includes biogeochemical data from Sapelo Island marsh, Georgia, USA, collected during the summer of 2021. Specifically, this data includes partial pressure of CO2 in water and air measured by the CO2-LAMP monitoring platform, as well as salinity and turbidity measured by the Smart Rock. Units of measurement are parts per million for pCO2, uS/cm for salinity, and Volts for relative turbidity. This data package has been completed.
DOI: 10.6084/m9.figshare.22678610
title: SLC26A4-AS1 Aggravates AngII-induced Cardiac Hypertrophy by Enhancing SLC26A4 Expression

description: Abstract Background It has been reported that solute carrier family 26 members 4 antisense RNA 1 (SLC26A4-AS1) is highly related to cardiac hypertrophy. Objective This research aims to investigate the role and specific mechanism of SLC26A4-AS1 in cardiac hypertrophy, providing a novel marker for cardiac hypertrophy treatment. Methods Angiotensin II (AngII) was infused into neonatal mouse ventricular cardiomyocytes (NMVCs) to induce cardiac hypertrophy. Gene expression was detected by quantitative real-time PCR (RT-qPCR). Protein levels were evaluated via western blot. Functional assays analyzed the role of SLC26A4-AS1. The mechanism of SLC26A4-AS1 was assessed by RNA-binding protein immunoprecipitation (RIP), RNA pull-down, and luciferase reporter assays. The P value &lt;0.05 was identified as statistical significance. Student’s t-test evaluated the two-group comparison. The difference between different groups was analyzed by one-way analysis of variance (ANOVA). Results SLC26A4-AS1 is upregulated in AngII-treated NMVCs and promotes AngII-induced cardiac hypertrophy. SLC26A4-AS1 regulates its nearby gene solute carrier family 26 members 4 (SLC26A4) via functioning as a competing endogenous RNA (ceRNA) to modulate the microRNA (miR)-301a-3p and miR-301b-3p in NMVCs. SLC26A4-AS1 promotes AngII-induced cardiac hypertrophy via upregulating SLC26A4 or sponging miR-301a-3p/miR-301b-3p. Conclusion SLC26A4-AS1 aggravates AngII-induced cardiac hypertrophy via sponging miR-301a-3p or miR-301b-3p to enhance SLC26A4 expression.
DOI: 10.25919/589n-9q15
title: Lockyer Valley numerical groundwater flow simulation model

description: A numerical groundwater flow simulation model for the Lockyer Valley alluvial aquifer. The model was developed using the MODFLOW-NWT software package, in conjunction with parameter estimation software PEST and its utility software. The calibrated model simulates the aquifer responses to a set of groundwater stresses including groundwater extraction, irrigation recharge, and flood recharge.
DOI: 10.6084/m9.figshare.22678610.v1
title: SLC26A4-AS1 Aggravates AngII-induced Cardiac Hypertrophy by Enhancing SLC26A4 Expression

description: Abstract Background It has been reported that solute carrier family 26 members 4 antisense RNA 1 (SLC26A4-AS1) is highly related to cardiac hypertrophy. Objective This research aims to investigate the role and specific mechanism of SLC26A4-AS1 in cardiac hypertrophy, providing a novel marker for cardiac hypertrophy treatment. Methods Angiotensin II (AngII) was infused into neonatal mouse ventricular cardiomyocytes (NMVCs) to induce cardiac hypertrophy. Gene expression was detected by quantitative real-time PCR (RT-qPCR). Protein levels were evaluated via western blot. Functional assays analyzed the role of SLC26A4-AS1. The mechanism of SLC26A4-AS1 was assessed by RNA-binding protein immunoprecipitation (RIP), RNA pull-down, and luciferase reporter assays. The P value &lt;0.05 was identified as statistical significance. Student’s t-test evaluated the two-group comparison. The difference between different groups was analyzed by one-way analysis of variance (ANOVA). Results SLC26A4-AS1 is upregulated in AngII-treated NMVCs and promotes AngII-induced cardiac hypertrophy. SLC26A4-AS1 regulates its nearby gene solute carrier family 26 members 4 (SLC26A4) via functioning as a competing endogenous RNA (ceRNA) to modulate the microRNA (miR)-301a-3p and miR-301b-3p in NMVCs. SLC26A4-AS1 promotes AngII-induced cardiac hypertrophy via upregulating SLC26A4 or sponging miR-301a-3p/miR-301b-3p. Conclusion SLC26A4-AS1 aggravates AngII-induced cardiac hypertrophy via sponging miR-301a-3p or miR-301b-3p to enhance SLC26A4 expression.
DOI: 10.6084/m9.figshare.6954560
title: Remote Sensing Retrieval of Chl-a in Inland Waters based on Ensemble Modeling and Game Theory: A Case Study on Panjiakou and Daheiting Reservoirs

description: This package involves the data and MATLAB source codes for reproduce the analysis in this paper. <br>
DOI: 10.6084/m9.figshare.24780387
title: <b>Dataset for: Putting space into trait ecology: t</b><b>rait, environment and biodiversity relationships at multiple spatial scales</b>

description: This dataset present species richness, community functional structure (inter and intraspecific trait variation, trait-trait covariation and functional diversity) and environmental data (soil Nitrogen, Carbon and moisture) from a subtropical forest. The dataset includes all the variables for 25 m<sup>2</sup>, 100 m<sup>2</sup>, 400 m<sup>2,</sup> and 1936 m<sup>2</sup> spatial grains, and further separation in adults and sapling categories for 400 m<sup>2,</sup> and 1936 m<sup>2</sup> spatial grains. Reference: Biswas, S.R, He, D., Li, J., Gong, L., Biswas, P.L., Zhuo, Z., Xu., M., Yang, X. and Yan, E. (2023) Putting space into trait ecology: trait, environment and biodiversity relationships at multiple spatial scales. Journal of Ecology