cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/43tx85f4g8.1
title: Assessing shipping water vertical loads on a fixed structure by convolution model and wet dam-break tests (Hernández-Fontes et al., 2018)

description: This datasheet presents experimental data related to the paper "Assessing shipping water vertical loads on a fixed structure by convolution model and wet dam-break tests", published in Applied Ocean Research. It is suggested to cite it as follows: Hernández-Fontes J.V., Vitola M.A., Esperança P.T.T., Sphaier S.H., 2018. Assessing shipping water vertical loads on a fixed structure by convolution model and wet dam-break tests. Applied Ocean Research. Experimental data time series are provided in ".txt" files for the three study cases described in the paper, considering the five repetitions . These include: - Time series of wavefront displacements over the deck (to estimate wavefront velocities) for the five repetitions; - Time series of water elevations at bow edge (i.e., measurements by VWP at -0.005m from bow edge and freeboard exceedance values used as input of the analytical model) for the five repetitions; - Time series of vertical loads over the deck for the five repetitions.
DOI: 10.23634/mmudr.00621799
title: Visual attention, EEG alpha power and T7-Fz coherence are implicated in prosthetic hand control and can be optimised through gaze training

description: Background: A prosthetic hand imposes a high cognitive burden on the user that often results in fatigue, frustration and prosthesis rejection. However, efforts to directly measure this burden are sparse and little is known about the mechanisms that underpin it. There is also a lack of evidence-based training interventions designed to improve prosthesis hand control and reduce the mental effort required to use them. In two experiments, we provide the first evaluation of this cognitive burden using measurements of EEG and eye-tracking (Experiment 1), and then explore how a novel visuomotor intervention (gaze training; GT) might alleviate this cognitive burden (Experiment 2). Methods: In Experiment 1, able-bodied participants (n = 20) lifted and moved a jar, first using their anatomical hand and then using a myoelectric prosthetic hand simulator. In experiment 2, a GT group (n=12) and a movement training (MT) group (n = 12) trained with the prosthetic hand simulator over three separate one hour sessions in a picking up coins task, before returning for retention, delayed retention and transfer tests. The GT group received instruction regarding how to use their eyes effectively, while the MT group received movement-related instruction typical in rehabilitation. Results: Experiment 1 revealed that when using the prosthetic hand, participants performed worse, exhibited spatial and temporal disruptions to visual attention, and exhibited a global decrease in EEG alpha power (8-12Hz), suggesting increased cognitive effort. Experiment 2 showed that GT was the more effective method for expediting prosthesis learning, optimising visual attention, and lowering conscious control – as indexed by reduced T7-Fz coherence. Whilst the MT group improved performance, they did not reduce hand-focused visual attention and showed increased conscious movement control. The superior benefits of GT also transferred to a more complex tea-making task. Conclusions: These experiments represent the most comprehensive evaluation of the visual and cortical mechanisms relating to the cognitive burden experienced during prosthetic hand control. They also evidence the efficacy of a GT intervention that alleviated this burden and promoted better learning and transfer, compared to typical rehabilitation instructions. These findings are of interest to prosthesis users, therapists and the designers of upper-limb prostheses.
DOI: 10.5281/zenodo.1478178
title: Covariate layers (100 m) for soil mapping Canada --- DTM, precipitation, snow probs, land cover

description: Compilation and harmonization of environmental covariates for PSM in Canada Developed for: Agriculture and Agri-Food Canada/Agriculture et Agroalimentaire Canada.

Layers (see: CanSIS explanation of names):


	DTM and DTM derivatives at 100 m (200 m, 400 m and 800 m)
	Downloaded precipitation and snow probability maps,
	Land cover and admin units,


Prepared by: Robert A. MacMillan (bobmacm@gmail.com; LandMapper Environmental Solutions Inc.) and Tom Hengl (EnvirometriX Ltd)
DOI: 10.5281/zenodo.1478179
title: Covariate Layers (100 M) For Soil Mapping Canada

description: Compilation and harmonization of environmental covariates for PSM in Canada Developed for: Agriculture and Agri-Food Canada/Agriculture et Agroalimentaire Canada

Prepared by: bobmacm@gmail.com (LandMapper Environmental Solutions Inc.)
DOI: 10.7910/dvn/pzhnu2/1uihea
title: 112-1_0039.dcm
DOI: 10.7910/dvn/pzhnu2/cmaslw
title: 112-5_0246.dcm
DOI: 10.7910/dvn/pzhnu2/fy4beu
title: 112-5_0127.dcm
DOI: 10.7910/dvn/pzhnu2/i4iodd
title: 112-1_0140.dcm
DOI: 10.7910/dvn/pzhnu2/jylu6n
title: 112-5_0240.dcm
DOI: 10.7910/dvn/pzhnu2/wk8yvt
title: 112-1_0077.dcm
DOI: 10.7910/dvn/pzhnu2/wx8kdq
title: 112-1_0114.dcm
DOI: 10.7910/dvn/pzhnu2/yagg7e
title: 112-5_0121.dcm
DOI: 10.7910/dvn/pzhnu2/yzpuuv
title: 112-5_0083.dcm
DOI: 10.7484/inspirehep.data.mny4.ge10
title: Madanalysis 5 implementation of the ATLAS multi jet analysis documented in arXiv:1405.7875, JHEP 1409 (2014) 176
DOI: 10.7910/dvn/pzhnu2/aapvif
title: 112-5_0239.dcm
DOI: 10.7910/dvn/pzhnu2/bp816y
title: 112-5_0054.dcm
DOI: 10.7910/dvn/pzhnu2/fqiz4y
title: 112-1_0038.dcm
DOI: 10.7910/dvn/pzhnu2/idlzml
title: 112-1_0048.dcm
DOI: 10.7910/dvn/pzhnu2/itaf7k
title: 112-5_0099.dcm
DOI: 10.7910/dvn/pzhnu2/yjpitz
title: 112-1_0177.dcm
DOI: 10.7910/dvn/pzhnu2/zdqoqb
title: 112-5_0133.dcm
DOI: 10.7910/dvn/pzhnu2/26yx2g
title: 112-5_0073.dcm
DOI: 10.7910/dvn/pzhnu2/5v7o03
title: 112-5_0042.dcm
DOI: 10.7910/dvn/pzhnu2/9s34pn
title: 112-5_0155.dcm
DOI: 10.7910/dvn/pzhnu2/9x1kso
title: 112-5_0004.dcm
DOI: 10.7910/dvn/pzhnu2/fiwsnu
title: 112-1_0210.dcm
DOI: 10.7910/dvn/pzhnu2/m9myyh
title: 112-5_0132.dcm
DOI: 10.7910/dvn/pzhnu2/mrvntz
title: 112-5_0231.dcm
DOI: 10.7910/dvn/pzhnu2/smcqgh
title: 112-1_0173.dcm
DOI: 10.5281/zenodo.1478546
title: Dataset For Ranas And Water Quality Survey In Malawi

description: Data outlines behaviour factors and water quality results used in the co-design and development of educational materials for Malawi WaterSPOUTT prototype
DOI: 10.5281/zenodo.1478547
title: Dataset For Ranas And Water Quality Survey In Malawi

description: Data outlines behaviour factors and water quality results used in the co-design and development of educational materials for Malawi WaterSPOUTT prototype
DOI: 10.7910/dvn/pzhnu2/90q5pg
title: 112-1_0141.dcm
DOI: 10.7910/dvn/pzhnu2/l5pmzv
title: 112-5_0100.dcm
DOI: 10.7910/dvn/pzhnu2/lpnbn5
title: 112-5_0011.dcm
DOI: 10.7910/dvn/pzhnu2/p83sol
title: 112-5_0093.dcm
DOI: 10.7910/dvn/pzhnu2/sschlc
title: 112-1_0122.dcm
DOI: 10.7910/dvn/pzhnu2/uwrxnw
title: 112-1_0111.dcm
DOI: 10.7910/dvn/pzhnu2/xuvvx8
title: 112-1_0062.dcm
DOI: 10.17037/data.00000917
title: Efficacy and safety of discontinuing cotrimoxazole prophylaxis among HIV infected adults stabilized on ART in Uganda: randomised controlled trial

description: Cotrimoxazole (CTX) prophylaxis is recommended by the World Health Organisation for HIV infected persons. However, once HIV infected patients have commenced anti-retroviral treatment (ART), the benefits of continued CTX prophylaxis are not known. The COSTOP randomised controlled trial sought to assess the efficacy and safety of discontinuing cotrimoxazole prophylaxis among HIV infected adults stabilized on ART in Uganda. This data collection contains 12 individual-level datasets associated with the study. It covers: time to the first clinical event; time to first grade 3-4 laboratory adverse event; Adherence to CTX, ART and ITN; all-cause mortality; all grade 3-4 haematological adverse events; laboratory parameters and CD4 counts at week 48; number of episodes of haematological grade 3-4 AEs; time to first hospital admission; and a sensitivity analysis. THESE DATASETS ARE RESTRICTED WHILE DATA PROTECTION & ETHICS CHECKS ARE PERFORMED.
DOI: 10.7910/dvn/pzhnu2/48dbun
title: 112-1_0110.dcm
DOI: 10.7910/dvn/pzhnu2/93bll5
title: 112-5_0120.dcm
DOI: 10.7910/dvn/pzhnu2/d9u50g
title: 112-5_0171.dcm
DOI: 10.7910/dvn/pzhnu2/ohwsvz
title: 112-5_0135.dcm
DOI: 10.7910/dvn/pzhnu2/oncscr
title: 112-5_0217.dcm
DOI: 10.7910/dvn/pzhnu2/qp9pqf
title: 112-5_0223.dcm
DOI: 10.7910/dvn/pzhnu2/riemlw
title: 112-1_0020.dcm
DOI: 10.7910/dvn/pzhnu2/ywvtlk
title: 112-1_0002.dcm
DOI: 10.5281/zenodo.1478584
title: Dataset of molecular docking data of neuropeptides to acid-sensing ion channels

description: The *.dock4 files are result files of molecular docking with the software Autodock Vina to the human ASIC1a closed state model, of the peptides FRRFa and KNFLRFa (FRRF.dock4, KNFLRF.dock4) that can be visualized with structure viewing programs such as UCSF Chimera on the closed ASIC1a model file (closed_ASIC_pH7.4.pdb). The file “FRRF_KNFLRF_complexes.pdb” provides the structures of selected poses of FRRFa and KNFLRFa peptides docked to the closed conformation of the human ASIC1a model.
DOI: 10.5281/zenodo.1478585
title: Dataset of molecular docking data of neuropeptides to acid-sensing ion channels

description: The *.dock4 files are result files of molecular docking with the software Autodock Vina to the human ASIC1a closed state model, of the peptides FRRFa and KNFLRFa (FRRF.dock4, KNFLRF.dock4) that can be visualized with structure viewing programs such as UCSF Chimera on the closed ASIC1a model file (closed_ASIC_pH7.4.pdb). The file “FRRF_KNFLRF_complexes.pdb” provides the structures of selected poses of FRRFa and KNFLRFa peptides docked to the closed conformation of the human ASIC1a model.
DOI: 10.7910/dvn/pzhnu2/8s98et
title: 112-5_0185.dcm
DOI: 10.7910/dvn/pzhnu2/b1jxgc
title: 112-5_0229.dcm
DOI: 10.7910/dvn/pzhnu2/f8auql
title: 112-5_0064.dcm
DOI: 10.7910/dvn/pzhnu2/jrogfv
title: 112-5_0068.dcm
DOI: 10.7910/dvn/pzhnu2/pn57dc
title: 112-1_0023.dcm
DOI: 10.7910/dvn/pzhnu2/rodx5v
title: 112-1_0132.dcm
DOI: 10.7910/dvn/pzhnu2/x1kwsr
title: 112-5_0182.dcm
DOI: 10.7910/dvn/t0xfqc/ltsqb1
title: Daily AgMERRA weather data for Banfora (Burkina Faso) from 1980 to 2010.xls
DOI: 10.7910/dvn/t0xfqc/w8fgh6
title: Dictionary.xls
DOI: 10.5061/dryad.s7d4g4t/1
title: Spiesman et al - Grassland harvesting effects on bees

description: Bee data collected in grasslands in Wisconsin and Michigan, USA. See metadata tab and associated article for more information.
DOI: 10.5281/zenodo.1478637
title: Metabolomic Profiling Of Zinc Accumulating Prostate Cancer Cells: Dataset Of Metabolomics And Transctiptomics

description: In this study, we focused on the metabolism of prostate cancer cells forced to accumulate zinc. Because levels of metabolites involved in Krebs and methionine cycle can participate in non-metabolic processes such as changes in gene expression, a panel of 371 genes connected with key steps of carcinogenesis was designed and expression levels of these genes were assessed to determine, which pathways are changed due to the long-term zinc treatment.

As a model of prostate cancerogenesis, wild-type and zinc accumulating cell lines PNT1A, 22Rv1, and PC-3 were used. Metabolite profiles were examined using liquid chromatography triple quadrupole mass spectrometry. Quantification of total intracellular zinc was performed by atomic absorption spectrometry and gene expression investigated by cDNA microarray. 

For description of creation of zinc-resistant cell lines see Holubova et al, Metallomics 2014, DOI 10.1039/C4MT00065J

 

<strong>Description of dataset</strong>

Total 6 files are included:

<em>Krebs.metabolites.csv</em>: table of metabolomic data (in ppm) of wild type/untreated/zinc-resistant cells.

<em>Krebs.metabolites.medium.csv</em>: table of metabolomic data (in fold change compared to medium) in cultivation media of abovementioned cells.

<em>RNA_array_fold_p.csv</em>: processed results of microarray displayed as mean log2 fold change (resistant - WT) and p level

<em>RNA_array_raw_22Rv1.csv</em>, <em>RNA_array_raw_PC-3.csv, RNA_array_raw_PNT1A.csv</em> raw data from microarray reader for WT and resistant cells.
description: This work was supported by funds from the Faculty of Medicine, Masaryk University to Junior researcher (Martina Raudenska), by the Czech Science Foundation GACR 16-18917S and by the projects MUNI/A/1157/2017 and MUNI/A/1297/2017 with the support of the Specific University Research Grant, as provided by the Ministry of Education, Youth and Sports of the Czech Republic in the year 2018.
DOI: 10.5281/zenodo.1478638
title: Metabolomic Profiling Of Zinc Accumulating Prostate Cancer Cells: Dataset Of Metabolomics And Transctiptomics

description: In this study, we focused on the metabolism of prostate cancer cells forced to accumulate zinc. Because levels of metabolites involved in Krebs and methionine cycle can participate in non-metabolic processes such as changes in gene expression, a panel of 371 genes connected with key steps of carcinogenesis was designed and expression levels of these genes were assessed to determine, which pathways are changed due to the long-term zinc treatment.

As a model of prostate cancerogenesis, wild-type and zinc accumulating cell lines PNT1A, 22Rv1, and PC-3 were used. Metabolite profiles were examined using liquid chromatography triple quadrupole mass spectrometry. Quantification of total intracellular zinc was performed by atomic absorption spectrometry and gene expression investigated by cDNA microarray. 

For description of creation of zinc-resistant cell lines see Holubova et al, Metallomics 2014, DOI 10.1039/C4MT00065J

 

<strong>Description of dataset</strong>

Total 6 files are included:

<em>Krebs.metabolites.csv</em>: table of metabolomic data (in ppm) of wild type/untreated/zinc-resistant cells.

<em>Krebs.metabolites.medium.csv</em>: table of metabolomic data (in fold change compared to medium) in cultivation media of abovementioned cells.

<em>RNA_array_fold_p.csv</em>: processed results of microarray displayed as mean log2 fold change (resistant - WT) and p level

<em>RNA_array_raw_22Rv1.csv</em>, <em>RNA_array_raw_PC-3.csv, RNA_array_raw_PNT1A.csv</em> raw data from microarray reader for WT and resistant cells.
description: This work was supported by funds from the Faculty of Medicine, Masaryk University to Junior researcher (Martina Raudenska), by the Czech Science Foundation GACR 16-18917S and by the projects MUNI/A/1157/2017 and MUNI/A/1297/2017 with the support of the Specific University Research Grant, as provided by the Ministry of Education, Youth and Sports of the Czech Republic in the year 2018.
DOI: 10.5525/gla.researchdata.672
title: Ultra-broadband terahertz coherent detection via silicon nitride-based deep sub-wavelength metallic slit

description: We present a novel class of CMOS-compatible devices aimed to operate the solid-state-biased coherent detection of ultrashort terahertz pulses, i.e. featuring gap-free bandwidth at least two decades-wide. Such a structure relies on 1-μm-wide slit aperture between two parallel aluminum pads and embedded in a 1-μm-thick layer of silicon nitride, deposited on a quartz substrate. We show that such a device can detect ultra-broadband terahertz pulses by employing unprecedented low optical probe energies of only a few tens of nanojoule, due to the more than one order of magnitude higher nonlinear coefficient of silicon nitride with respect to silica, which was employed in the previous generations. In addition, very high static electric fields can be generated within the slit by applying extremely low external bias voltages (in the order of few tens of volts), which strongly enhance the dynamic range of the detected THz waveforms. Finally, we show how this new device potentially enables to operate the solidstate- biased technique with a homodyne scheme, in a similar manner to electro-optic sampling. These results pave the way to the integration of the solid-state ultra-broadband detection in compact and miniaturized terahertz systems fed by high repetitionrate laser oscillators and low-noise, low-voltage generators.
DOI: 10.7910/dvn/gwcggb/6smgee
title: Daily weather data for Bobo-Dioulasso (Burkina Faso) from 1980 to 2010.xls
DOI: 10.7910/dvn/gwcggb/nal1ta
title: Dictionary.xls
DOI: 10.7910/dvn/n5yhll/6yjzyk
title: Insecta_ants_trophallaxis_weighted_weighted_ant_quevillon_colony2_day7.graphml
DOI: 10.7910/dvn/n5yhll/80ed9p
title: Insecta_ants_trophallaxis_weighted_weighted_ant_quevillon_colony2_day5.graphml
DOI: 10.7910/dvn/n5yhll/ahsilu
title: Insecta_ants_trophallaxis_weighted_weighted_ant_quevillon_colony2_day8.graphml
DOI: 10.7910/dvn/n5yhll/oveprg
title: Insecta_beetle_proximity_weighted_beetle_fomica_group_C1_period_1.graphml
DOI: 10.7910/dvn/n5yhll/vdcmxo
title: Insecta_beetle_proximity_weighted_beetle_fomica_group_C1_period_2.graphml
DOI: 10.7910/dvn/n5yhll/ywuztq
title: Insecta_ants_trophallaxis_weighted_weighted_ant_quevillon_colony2_day6.graphml
DOI: 10.7910/dvn/pzhnu2/3fa5vr
title: 112-1_0204.dcm
DOI: 10.7910/dvn/pzhnu2/3jwp0g
title: 112-5_0069.dcm
DOI: 10.7910/dvn/pzhnu2/5indrt
title: 112-5_0017.dcm
DOI: 10.7910/dvn/pzhnu2/dta3ta
title: 112-1_0161.dcm
DOI: 10.7910/dvn/pzhnu2/g7w7xk
title: 112-1_0167.dcm
DOI: 10.7910/dvn/pzhnu2/grb9eg
title: 112-1_0229.dcm
DOI: 10.7910/dvn/pzhnu2/kkzx9s
title: 112-5_0184.dcm
DOI: 10.7910/dvn/pzhnu2/lvy3kb
title: 112-1_0061.dcm
DOI: 10.7910/dvn/pzhnu2/mmpnio
title: 112-1_0131.dcm
DOI: 10.7910/dvn/pzhnu2/szqpq7
title: 112-1_0103.dcm
DOI: 10.7910/dvn/n5yhll/jl8h9e
title: Insecta_beetle_proximity_weighted_beetle_fomica_group_C4_period_2.graphml
DOI: 10.7910/dvn/n5yhll/llzhyr
title: Insecta_beetle_proximity_weighted_beetle_fomica_group_C4_period_1.graphml
DOI: 10.7910/dvn/n5yhll/nxl7pf
title: Insecta_beetle_proximity_weighted_beetle_fomica_group_C2_period_1.graphml
DOI: 10.7910/dvn/n5yhll/ssue9m
title: Insecta_beetle_proximity_weighted_beetle_fomica_group_C3_period_1.graphml
DOI: 10.7910/dvn/n5yhll/trqts4
title: Insecta_beetle_proximity_weighted_beetle_fomica_group_C2_period_2.graphml
DOI: 10.7910/dvn/n5yhll/vmy2l5
title: Insecta_beetle_proximity_weighted_beetle_fomica_group_T1_period_1.graphml
DOI: 10.7910/dvn/n5yhll/xaamjz
title: Insecta_beetle_proximity_weighted_beetle_fomica_group_C3_period_2.graphml
DOI: 10.7910/dvn/pzhnu2/7ak3lo
title: 112-1_0144.dcm
DOI: 10.7910/dvn/pzhnu2/9n6xaj
title: 112-1_0101.dcm
DOI: 10.7910/dvn/pzhnu2/chk9tj
title: 112-1_0129.dcm
DOI: 10.7910/dvn/pzhnu2/cnzsu5
title: 112-5_0204.dcm
DOI: 10.7910/dvn/pzhnu2/dsnick
title: 112-1_0099.dcm
DOI: 10.7910/dvn/pzhnu2/gcgoen
title: 112-5_0131.dcm
DOI: 10.7910/dvn/pzhnu2/h6j8vv
title: 112-1_0088.dcm
DOI: 10.7910/dvn/pzhnu2/vhj3gn
title: 112-1_0083.dcm
DOI: 10.7910/dvn/1up63t/ar9e33
title: IRRI_LTCCE_2015EWS.tab
DOI: 10.7910/dvn/1up63t/byfjxs
title: LTCCE_Documentation.csv
DOI: 10.7910/dvn/1up63t/dlr7jm
title: IRRI_LTCCE_2015DS.tab
DOI: 10.7910/dvn/1up63t/pibxgg
title: IRRI_LTCCE_2015LWS.tab
DOI: 10.7910/dvn/mrbxeq/d8bg93
title: Dictionary.xls
DOI: 10.7910/dvn/mrbxeq/iilvne
title: Daily weather data for Bogande (Burkina Faso) from 1980 to 2010.xls
DOI: 10.7910/dvn/n5yhll/00fzhv
title: Mammalia_baboon_association_weighted_weighted_group_4.graphml
DOI: 10.7910/dvn/n5yhll/7ewyjd
title: Mammalia_baboon_association_weighted_weighted_group_1.graphml
DOI: 10.7910/dvn/n5yhll/9g5d3x
title: Insecta_beetle_proximity_weighted_beetle_fomica_group_T3_period_1.graphml
DOI: 10.7910/dvn/n5yhll/my5thm
title: Mammalia_baboon_association_weighted_weighted_group_2.graphml
DOI: 10.7910/dvn/n5yhll/osd6i1
title: Mammalia_baboon_association_weighted_weighted_group_3.graphml
DOI: 10.7910/dvn/n5yhll/rnwkut
title: Mammalia_asianelephants_dominance_unweighted_asianelephant_desilva.graphml
DOI: 10.7910/dvn/n5yhll/tuwbb5
title: Insecta_beetle_proximity_weighted_beetle_fomica_group_T2_period_1.graphml
DOI: 10.7910/dvn/n5yhll/u20lhj
title: Insecta_beetle_proximity_weighted_beetle_fomica_group_T4_period_1.graphml
DOI: 10.7910/dvn/o9qttl/isw4cw
title: IRRI_LTCCE_2014EWS.tab
DOI: 10.7910/dvn/pzhnu2/0wkyog
title: 112-5_0193.dcm
DOI: 10.7910/dvn/pzhnu2/aovbvn
title: 112-1_0097.dcm
DOI: 10.7910/dvn/pzhnu2/hetc0v
title: 112-5_0192.dcm
DOI: 10.7910/dvn/pzhnu2/jfopcu
title: 112-5_0045.dcm
DOI: 10.7910/dvn/pzhnu2/llx9vi
title: 112-1_0081.dcm
DOI: 10.7910/dvn/pzhnu2/upgqhn
title: 112-1_0084.dcm
DOI: 10.7910/dvn/pzhnu2/w2v06y
title: 112-5_0063.dcm
DOI: 10.7910/dvn/pzhnu2/xoyaut
title: 112-5_0241.dcm
DOI: 10.7910/dvn/n5yhll/8hoiuc
title: Mammalia_baboon_association_weighted_weighted_group_6.graphml
DOI: 10.7910/dvn/n5yhll/k2exop
title: Mammalia_baboon_association_weighted_weighted_group_8.graphml
DOI: 10.7910/dvn/n5yhll/ltwvwy
title: Mammalia_baboon_association_weighted_weighted_group_9.graphml
DOI: 10.7910/dvn/n5yhll/pdyd2u
title: Mammalia_baboon_association_weighted_weighted_group_12.graphml
DOI: 10.7910/dvn/n5yhll/qh8a4b
title: Mammalia_baboon_association_weighted_weighted_group_7.graphml
DOI: 10.7910/dvn/n5yhll/swgvmm
title: Mammalia_baboon_association_weighted_weighted_group_10.graphml
DOI: 10.7910/dvn/n5yhll/whykhq
title: Mammalia_baboon_association_weighted_weighted_group_11.graphml
DOI: 10.7910/dvn/n5yhll/zgv4jq
title: Mammalia_baboon_association_weighted_weighted_group_5.graphml
DOI: 10.7910/dvn/o9qttl/mmvmgk
title: IRRI_LTCCE_2014LWS.tab
DOI: 10.7910/dvn/o9qttl/rtb68r
title: IRRI_LTCCE_2014DS.tab
DOI: 10.7910/dvn/o9qttl/v9bmqk
title: LTCCE_Documentation.csv
DOI: 10.7910/dvn/pzhnu2/cenwbb
title: 112-1_0093.dcm
DOI: 10.7910/dvn/pzhnu2/fir91e
title: 112-5_0159.dcm
DOI: 10.7910/dvn/pzhnu2/obpvim
title: 112-1_0120.dcm
DOI: 10.7910/dvn/pzhnu2/pdo1ed
title: 112-1_0227.dcm
DOI: 10.7910/dvn/pzhnu2/qg05ed
title: 112-5_0001.dcm
DOI: 10.7910/dvn/pzhnu2/qxhezs
title: 112-5_0098.dcm
DOI: 10.7910/dvn/pzhnu2/tbbhgx
title: 112-5_0199.dcm
DOI: 10.7910/dvn/pzhnu2/tjqgg3
title: 112-1_0112.dcm
DOI: 10.7910/dvn/pzhnu2/tvwkwq
title: 112-1_0015.dcm
DOI: 10.7910/dvn/x3ma2z/cgvcju
title: LTCCE_Documentation.csv
DOI: 10.7910/dvn/x3ma2z/d5v6vu
title: IRRI_LTCCE_2013DS.tab
DOI: 10.7910/dvn/x3ma2z/s9t6sf
title: IRRI_LTCCE_2013EWS.tab
DOI: 10.7910/dvn/n5yhll/4b9ag9
title: Mammalia_baboon_association_weighted_weighted_group_15.graphml
DOI: 10.7910/dvn/n5yhll/7tkw1z
title: Mammalia_baboon_association_weighted_weighted_group_13.graphml
DOI: 10.7910/dvn/n5yhll/ajoqyc
title: Mammalia_baboon_association_weighted_weighted_group_19.graphml
DOI: 10.7910/dvn/n5yhll/dfmp9k
title: Mammalia_baboon_association_weighted_weighted_group_16.graphml
DOI: 10.7910/dvn/n5yhll/hpgfie
title: Mammalia_baboon_association_weighted_weighted_group_14.graphml
DOI: 10.7910/dvn/n5yhll/lofsho
title: Mammalia_baboon_association_weighted_weighted_group_18.graphml
DOI: 10.7910/dvn/n5yhll/mkxtyz
title: Mammalia_baboon_association_weighted_weighted_group_17.graphml
DOI: 10.7910/dvn/pzhnu2/2un1oo
title: 112-1_0185.dcm
DOI: 10.7910/dvn/pzhnu2/4oddpk
title: 112-1_0149.dcm
DOI: 10.7910/dvn/pzhnu2/atlwnk
title: 112-1_0214.dcm
DOI: 10.7910/dvn/pzhnu2/ayv9aj
title: 112-1_0031.dcm
DOI: 10.7910/dvn/pzhnu2/gtptw1
title: 112-1_0067.dcm
DOI: 10.7910/dvn/pzhnu2/jgstob
title: 112-1_0228.dcm
DOI: 10.7910/dvn/pzhnu2/yemyyw
title: 112-1_0016.dcm
DOI: 10.7910/dvn/vbdl6l/cq1sso
title: 3-appendix_analysis.do

description: do file for appendix
DOI: 10.7910/dvn/vbdl6l/g2lmyv
title: manuscript_log.smcl

description: log main text
DOI: 10.7910/dvn/vbdl6l/krjvbw
title: 2-manuscript_analysis.do

description: do file for main text
DOI: 10.7910/dvn/vbdl6l/zx4jjn
title: appendix_log.smcl

description: log appendix
DOI: 10.7910/dvn/x3ma2z/gsdeqh
title: IRRI_LTCCE_2013LWS.tab
DOI: 10.5281/zenodo.1478217
title: Dwd European Weather

description: opendata.dwd.de - OpenData by Deutscher Wetter Dienst

Conditions: https://www.dwd.de/EN/service/copyright/copyright_node.html

dates and times are UTC.
DOI: 10.5281/zenodo.1478564
title: Ds_Wave_Mutriku: Wave Resource At Mutriku (Spain)

description: Data obtained from the RBR virtuoso pressure sensor deployed in Mutriku: i) winter 2016-2017; ii) Spring 2018.

Sensor is located at 10 m water depth, 200 m off the shoreline plant (43º18'52"N, 2º22'34").