cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14457/cu.the.2011.1352
title: Participation and empowerment of development in kayah state : a case study of international and local non-governmental organizations

description: International Non-Governmental Organizations (INGOs) and Local Non-Governmental-Organizations (LNGOs) became crucial in shaping the Local Development in Kayah State, the smallest state in Myanmar. An important activity of NGO work is to apply participation and empowerment tools in their development projects. This research assessed how both Integrated Community Development Project (ICDP)/INGO and Catholic Karuna Loikaw/LNGO took account of using participation and empowerment tools in the development processes. Specifically, the case study was done in the two villages of Kayah State which is situated in the Eastern part of Myanmar. The research analyzed whether participation and empowerment applied by the two NGOs can contribute to the local development by examining the income generation activities of a Self-Reliance-Group of ICDP and a Micro-Credit-Union Group of CKL in these two projects. This research mainly relied on primary data collection method by in-depth interview, survey, field observation and personal interview collected during an extended field trip in mid 2011, and also used reports and data produced by the two NGOs. The research concludes that the Self-Reliance-Group and the Micro-Credit-Union Group are based on group approaches ensuring local development through participation of all members. They do create a community based structure that builds mutual support and trust among members and encourages vulnerable, poor and marginalized people. Women members are becoming not only more productive but also getting empowered. As a result of forming these groups, women are now integrated into social-economic activities, contributing to both family and community. The borrowers’ capacities in doing household business are improved by borrowing and repayment practice, and the women can go to local rights-based development through empowerment in economic and social matters.
DOI: 10.17171/1-13-31422-1
title: WORLD GRIDDED-DATASET ECHAM5 2000BP TIME-RANGE-VALUES 98thPercentile LATENT-HEAT-FLUX

description: Climate Models
DOI: 10.17171/1-13-31423-1
title: WORLD GRIDDED-DATASET ECHAM5 2000BP TIME-RANGE-VALUES 98thPercentile MEAN-SEA-LEVEL-PRESSURE

description: Climate Models
DOI: 10.17171/1-13-31424-1
title: WORLD GRIDDED-DATASET ECHAM5 2000BP TIME-RANGE-VALUES 98thPercentile SENSIBLE-HEAT-FLUX

description: Climate Models
DOI: 10.17171/1-13-31425-1
title: WORLD GRIDDED-DATASET ECHAM5 2000BP TIME-RANGE-VALUES 98thPercentile SNOW-DEPTH

description: Climate Models
DOI: 10.17171/1-13-31426-1
title: WORLD GRIDDED-DATASET ECHAM5 2000BP TIME-RANGE-VALUES 98thPercentile SNOW-FALL

description: Climate Models
DOI: 10.17171/1-13-31427-1
title: WORLD GRIDDED-DATASET ECHAM5 2000BP TIME-RANGE-VALUES 98thPercentile SURFACE-ALBEDO

description: Climate Models
DOI: 10.17171/1-13-31428-1
title: WORLD GRIDDED-DATASET ECHAM5 2000BP TIME-RANGE-VALUES 98thPercentile SURFACE-PRESSURE

description: Climate Models
DOI: 10.17171/1-13-31429-1
title: WORLD GRIDDED-DATASET ECHAM5 2000BP TIME-RANGE-VALUES 98thPercentile TOTAL-CLOUD-COVER

description: Climate Models
DOI: 10.17171/1-13-32238-1
title: WORLD GRIDDED-DATASET ECHAM5 3000BP MULTI-YEAR-SEASONAL-VALUES 5thPercentile 2M-RELATIVE-HUMIDITY

description: Climate Models
DOI: 10.17171/1-13-32239-1
title: WORLD GRIDDED-DATASET ECHAM5 3000BP MULTI-YEAR-SEASONAL-VALUES 5thPercentile 2M-TEMPERATURE

description: Climate Models
DOI: 10.17171/1-13-32240-1
title: WORLD GRIDDED-DATASET ECHAM5 3000BP MULTI-YEAR-SEASONAL-VALUES 5thPercentile EVAPORATION

description: Climate Models
DOI: 10.17171/1-13-32241-1
title: WORLD GRIDDED-DATASET ECHAM5 3000BP MULTI-YEAR-SEASONAL-VALUES 5thPercentile ICE-COVER

description: Climate Models
DOI: 10.17171/1-13-32242-1
title: WORLD GRIDDED-DATASET ECHAM5 3000BP MULTI-YEAR-SEASONAL-VALUES 5thPercentile LATENT-HEAT-FLUX

description: Climate Models
DOI: 10.17171/1-13-32243-1
title: WORLD GRIDDED-DATASET ECHAM5 3000BP MULTI-YEAR-SEASONAL-VALUES 5thPercentile MEAN-SEA-LEVEL-PRESSURE

description: Climate Models
DOI: 10.17171/1-13-32244-1
title: WORLD GRIDDED-DATASET ECHAM5 3000BP MULTI-YEAR-SEASONAL-VALUES 5thPercentile SENSIBLE-HEAT-FLUX

description: Climate Models
DOI: 10.17171/1-13-32245-1
title: WORLD GRIDDED-DATASET ECHAM5 3000BP MULTI-YEAR-SEASONAL-VALUES 5thPercentile SNOW-DEPTH

description: Climate Models
DOI: 10.17171/1-13-32246-1
title: WORLD GRIDDED-DATASET ECHAM5 3000BP MULTI-YEAR-SEASONAL-VALUES 5thPercentile SNOW-FALL

description: Climate Models
DOI: 10.17171/1-13-33092-1
title: WORLD GRIDDED-DATASET ECHAM5 4000BP MULTY-YEAR-MONTHLY-VALUES 25thPercentile LATENT-HEAT-FLUX

description: Climate Models
DOI: 10.17171/1-13-33093-1
title: WORLD GRIDDED-DATASET ECHAM5 4000BP MULTY-YEAR-MONTHLY-VALUES 25thPercentile MEAN-SEA-LEVEL-PRESSURE

description: Climate Models
DOI: 10.17171/1-13-33094-1
title: WORLD GRIDDED-DATASET ECHAM5 4000BP MULTY-YEAR-MONTHLY-VALUES 25thPercentile SENSIBLE-HEAT-FLUX

description: Climate Models
DOI: 10.17171/1-13-33095-1
title: WORLD GRIDDED-DATASET ECHAM5 4000BP MULTY-YEAR-MONTHLY-VALUES 25thPercentile SNOW-DEPTH

description: Climate Models
DOI: 10.17171/1-13-33096-1
title: WORLD GRIDDED-DATASET ECHAM5 4000BP MULTY-YEAR-MONTHLY-VALUES 25thPercentile SNOW-FALL

description: Climate Models
DOI: 10.17171/1-13-33097-1
title: WORLD GRIDDED-DATASET ECHAM5 4000BP MULTY-YEAR-MONTHLY-VALUES 25thPercentile SURFACE-ALBEDO

description: Climate Models
DOI: 10.17171/1-13-33098-1
title: WORLD GRIDDED-DATASET ECHAM5 4000BP MULTY-YEAR-MONTHLY-VALUES 25thPercentile SURFACE-PRESSURE

description: Climate Models
DOI: 10.17171/1-13-33099-1
title: WORLD GRIDDED-DATASET ECHAM5 4000BP MULTY-YEAR-MONTHLY-VALUES 25thPercentile TOTAL-CLOUD-COVER

description: Climate Models
DOI: 10.17171/1-13-33100-1
title: WORLD GRIDDED-DATASET ECHAM5 4000BP MULTY-YEAR-MONTHLY-VALUES 25thPercentile TOTAL-PRECIPITATION

description: Climate Models
DOI: 10.17171/1-13-33821-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP MULTY-YEAR-MONTHLY-VALUES 90thPercentile SNOW-DEPTH

description: Climate Models
DOI: 10.17171/1-13-33822-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP MULTY-YEAR-MONTHLY-VALUES 90thPercentile SNOW-FALL

description: Climate Models
DOI: 10.17171/1-13-33823-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP MULTY-YEAR-MONTHLY-VALUES 90thPercentile SURFACE-ALBEDO

description: Climate Models
DOI: 10.17171/1-13-33824-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP MULTY-YEAR-MONTHLY-VALUES 90thPercentile SURFACE-PRESSURE

description: Climate Models
DOI: 10.17171/1-13-33825-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP MULTY-YEAR-MONTHLY-VALUES 90thPercentile TOTAL-CLOUD-COVER

description: Climate Models
DOI: 10.17171/1-13-33826-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP MULTY-YEAR-MONTHLY-VALUES 90thPercentile TOTAL-PRECIPITATION

description: Climate Models
DOI: 10.17171/1-13-33827-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP MULTY-YEAR-MONTHLY-VALUES 95thPercentile 10M-WIND-DIRECTION

description: Climate Models
DOI: 10.17171/1-13-33828-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP MULTY-YEAR-MONTHLY-VALUES 95thPercentile 10M-WINDSPEED

description: Climate Models
DOI: 10.17171/1-13-33829-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP MULTY-YEAR-MONTHLY-VALUES 95thPercentile 2M-DEW-POINT-TEMPERATURE

description: Climate Models
DOI: 10.17171/1-13-34609-1
title: WORLD GRIDDED-DATASET ECHAM5 6000BP MULTY-YEAR-MONTHLY-VALUES STD SURFACE-ALBEDO

description: Climate Models
DOI: 10.17171/1-13-34610-1
title: WORLD GRIDDED-DATASET ECHAM5 6000BP MULTY-YEAR-MONTHLY-VALUES STD SURFACE-PRESSURE

description: Climate Models
DOI: 10.17171/1-13-34611-1
title: WORLD GRIDDED-DATASET ECHAM5 6000BP MULTY-YEAR-MONTHLY-VALUES STD TOTAL-CLOUD-COVER

description: Climate Models
DOI: 10.17171/1-13-34612-1
title: WORLD GRIDDED-DATASET ECHAM5 6000BP MULTY-YEAR-MONTHLY-VALUES STD TOTAL-PRECIPITATION

description: Climate Models
DOI: 10.17171/1-13-34613-1
title: WORLD GRIDDED-DATASET ECHAM5 6000BP TIME-RANGE-VALUES 10thPercentile 10M-WIND-DIRECTION

description: Climate Models
DOI: 10.17171/1-13-34614-1
title: WORLD GRIDDED-DATASET ECHAM5 6000BP TIME-RANGE-VALUES 10thPercentile 10M-WINDSPEED

description: Climate Models
DOI: 10.17171/1-13-34615-1
title: WORLD GRIDDED-DATASET ECHAM5 6000BP TIME-RANGE-VALUES 10thPercentile 2M-DEW-POINT-TEMPERATURE

description: Climate Models
DOI: 10.17171/1-13-34616-1
title: WORLD GRIDDED-DATASET ECHAM5 6000BP TIME-RANGE-VALUES 10thPercentile 2M-RELATIVE-HUMIDITY

description: Climate Models
DOI: 10.17171/1-13-34617-1
title: WORLD GRIDDED-DATASET ECHAM5 6000BP TIME-RANGE-VALUES 10thPercentile 2M-TEMPERATURE

description: Climate Models
DOI: 10.14457/cu.the.2011.1353
title: Development of packaging film from bioplastic/clay nanocomposites

description: In this study, polylactic acid (PLA) films were prepared via twin screw extruder attached with blown film die. The research consisted of two parts. The first part concentrates on studying the effect of types and loading of plasticizer, in which they were used to increase the flexibility of PLA, on thermal, mechanical and gas barrier properties of plasticized PLA blown films. From DSC and DMA results, 5 wt% of all plasticizers were compatible with PLA and it affected degree of crystallinity of PLA increased. In addition, tensile tests indicated that polypropylene glycol, PPG(1200) at 5 wt% was a suitable plasticizer for PLA which can be observed from an increase in elongation at break approximately 45 times. The second part focuses on the effect of surfactant types and organoclay loading on properties of PLA/clay nanocomposite blown films. From XRD result, interlayer spacing of organoclay increased compared with that of pristine clay. Furthermore, film of PLA/montmorillonite modified by trimethyl tallow quaternary ammonium chloride (PLA/MMT/M₃T films) showed better clay dispersion and higher transmittance of light than film of PLA/montmorillonite modified by tallow bis(2-hydroxyethyl) amine (PLA/MMT/HT(OH)₂ films). Furthermore, from DSC and DMA results, PLA/MMT/HT(OH)₂ films gave higher degree of crystallinity than PLA/MMT/M₃T films. For mechanical properties, PLA/MMT/M₃T films exhibited higher elongation at break than PLA/MMT/HT(OH)₂ films and 3 wt% of organoclay showed optimum properties when added into with plasticized PLA. In addition, PLA/MMT/HT(OH)₂ films showed higher water vapor permeation (6.19 %) but lower oxygen permeation (7.94 %) compared to PLA/MMT/M₃T films.
DOI: 10.14457/cu.the.2011.1354
title: Neural network modeling and controller design of the methyl methacrylate production process for esterification reaction in a batch reactor

description: To present a neural network forward model to predict a concentration and temperature profiles in a batch reactor for a MMA production, and a neural network inverse model to predict a jacket temperature set point of a heating/cooling system. The neural network forward and inverse models have been developed based on the Lenvenberg-Marquardt training algorithm. An obtained optimal neural network structure for the forward model has been employed to predict state variables over a predictive horizon within a model predictive control (MPC) algorithm for searching optimal control actions via successive quadratic programming (SQP). To control the temperature in the batch reactor, the neural network based control approaches studied in this work consisting of a neural network direct inverse control (NNDIC) and a neural network based model predictive control (NNMPC) have been formulated. In addition, a dynamic optimization approach has been applied to find out an optimal operating temperature to achieve maximizing the MMA product at specified final time. An obtained optimal temperature is then applied as a set point for the controller design. Robustness tests of the proposed controllers have been studied with respect to the changes in operating parameters. Simulation results have indicated that the NNMPC controller is more robust than the PID and NNDIC controllers and the NNDIC controller is more robust than the PID controller. Therefore, the NNMPC controller gives the best control results among the PID and NNDIC controllers in the nominal and plant/model mismatch cases.
DOI: 10.14457/cu.the.2011.1355
title: Effect of white Proroot® MTA and two Thai white portland cements mixed with bismuth oxide on cementoblastic differentiation in human cementoblast-like cell line

description: The purpose of this study was to investigate the effects of two Thai white Portland cement mixed with bismuth oxide (Chang and Kilan brands) and white ProRoot® MTA on gene expression and alkaline phosphatase activity of human cementoblast-like cell lines. Human cementoblast-like cell lines were exposed to material extracts for 1, 3, and 7 days. The expression of alkaline phosphatase, bone sialoprotein, type I collagen and osteocalcin were examined by quantitative real time polymerase chain reaction. Alkaline phosphatase activity was determined by enzymatic assay. Differences in relative expression ratio and alkaline phosphatase activity were analyzed by Kruskal-Wallis test (p &lt; 0.05). Chang statistically significantly upregulated alkaline phosphatase at days 1 and 3 and white ProRootÒ MTA stimulated alkaline phosphatase at day 3. All materials significantly stimulated bone sialoprotein at day 3 and Kilan also upregulated bone sialoprotein at day 7. Both Chang and Kilan significantly increased type I collagen expression at day 1 but gene expression of osteocalcin was significantly decreased by all materials at days 3 and 7. In addition, Chang and Kilan statistically significantly induced alkaline phosphatase activity more than white ProRoot® MTA and control at days 3 and 7. In conclusion, this study of human cementoblast-like cell lines showed that Chang induced alkaline phosphatase and bone sialoprotein expression in a similar manner to white ProRoot® MTA. Kilan could not upregulate alkaline phosphatase but could increase more bone sialoprotein expression than Chang and white ProRoot® MTA. Alkaline phosphatase activity could be upregulated by Chang and Kilan but not by white ProRoot® MTA.
DOI: 10.14457/cu.the.2011.1356
title: Performance indicator development for pharmacovigilance system in Thailand

description: The goal of this study was to develop a set of indicators to assess the performance of the national center for pharmacovigilance in Thailand. The study was initiated to respond to the need of systematic evaluation of phamacovigilance system, but the lack of comprehensive tools. The indicators were designed based on the theory of organizational performance assessment and pharmacovigilance functioning framework. This is an evaluative analysis study based on cross sectional research design. The indicators were developed based on three-stage model: 1) applying logic model and identifying indicator domains, 2) formulating the candidate indicators, and 3) validating the selected indicators through expert opinions. 21 indicators were developed and judged against two validation criteria: relevance and practicability. The set of validated indicators consisted of four domains: 1) policy, law, plan, and structural support, this domain comprised 9 indicators, which could be used to identify the existence of and the relevance of legal provisions, policy, and plans, and to examine the organizational structure. They reflected the enabling factors to enhance the successful towards the organizational goals. 2) safety surveillance, comprised 5 indicators. The indicators reflected the capability of the organization to participate and build partnerships, and bring multiple stakeholders together for successful information exchange. They referred to the coordination and collation of data between data providers and the national center, timely and effective data flow, as well as the quality of data obtained from secondary sources. 3) signal detection and decision making for risk management, comprised 4 indicators: data preparation to be analyzed, data quality, automated signal detection and decision making for risk management. This domain referred to the function of the NPVC to collect, summarize, and transform of ADR information; to identify, estimate, and evaluate the volume and seriousness of risks that associated with a pharmaceutical product; and to propose the corrective measures to minimize risks. They reflected the capability of the organization to manage large dataset and make decisions for risk management. 4) communication of safety information, comprised 3 indicators. The indicators reflected the capability of the organization to organize timely and effective dissemination of safety information, and its responsiveness to any related queries either in domestic or international level so as to facilitate safety surveillance. The developed indicators could be divided into 3 types: 10 structure indicators, 5 process indicators, and 6 outcome indicators. Most of the indicators were yes/no questions or percentage/rate measurements, subsequent qualitative data from the respondents were needed for better interpretation of the results. It could be concluded that the developed assessment tool should be tested and refined in order to be routinely used for the organizational performance assessment in the future.
DOI: 10.17171/1-13-32247-1
title: WORLD GRIDDED-DATASET ECHAM5 3000BP MULTI-YEAR-SEASONAL-VALUES 5thPercentile SURFACE-ALBEDO

description: Climate Models
DOI: 10.17171/1-13-32248-1
title: WORLD GRIDDED-DATASET ECHAM5 3000BP MULTI-YEAR-SEASONAL-VALUES 5thPercentile SURFACE-PRESSURE

description: Climate Models
DOI: 10.17171/1-13-32249-1
title: WORLD GRIDDED-DATASET ECHAM5 3000BP MULTI-YEAR-SEASONAL-VALUES 5thPercentile TOTAL-CLOUD-COVER

description: Climate Models
DOI: 10.17171/1-13-32250-1
title: WORLD GRIDDED-DATASET ECHAM5 3000BP MULTI-YEAR-SEASONAL-VALUES 5thPercentile TOTAL-PRECIPITATION

description: Climate Models
DOI: 10.17171/1-13-32251-1
title: WORLD GRIDDED-DATASET ECHAM5 3000BP MULTI-YEAR-SEASONAL-VALUES 75thPercentile 10M-WIND-DIRECTION

description: Climate Models
DOI: 10.17171/1-13-32252-1
title: WORLD GRIDDED-DATASET ECHAM5 3000BP MULTI-YEAR-SEASONAL-VALUES 75thPercentile 10M-WINDSPEED

description: Climate Models
DOI: 10.17171/1-13-32253-1
title: WORLD GRIDDED-DATASET ECHAM5 3000BP MULTI-YEAR-SEASONAL-VALUES 75thPercentile 2M-DEW-POINT-TEMPERATURE

description: Climate Models
DOI: 10.17171/1-13-32254-1
title: WORLD GRIDDED-DATASET ECHAM5 3000BP MULTI-YEAR-SEASONAL-VALUES 75thPercentile 2M-RELATIVE-HUMIDITY

description: Climate Models
DOI: 10.17171/1-13-32255-1
title: WORLD GRIDDED-DATASET ECHAM5 3000BP MULTI-YEAR-SEASONAL-VALUES 75thPercentile 2M-TEMPERATURE

description: Climate Models
DOI: 10.17171/1-13-33101-1
title: WORLD GRIDDED-DATASET ECHAM5 4000BP MULTY-YEAR-MONTHLY-VALUES 2thPercentile 10M-WIND-DIRECTION

description: Climate Models
DOI: 10.17171/1-13-33102-1
title: WORLD GRIDDED-DATASET ECHAM5 4000BP MULTY-YEAR-MONTHLY-VALUES 2thPercentile 10M-WINDSPEED

description: Climate Models
DOI: 10.17171/1-13-33103-1
title: WORLD GRIDDED-DATASET ECHAM5 4000BP MULTY-YEAR-MONTHLY-VALUES 2thPercentile 2M-DEW-POINT-TEMPERATURE

description: Climate Models
DOI: 10.17171/1-13-33104-1
title: WORLD GRIDDED-DATASET ECHAM5 4000BP MULTY-YEAR-MONTHLY-VALUES 2thPercentile 2M-RELATIVE-HUMIDITY

description: Climate Models
DOI: 10.17171/1-13-33105-1
title: WORLD GRIDDED-DATASET ECHAM5 4000BP MULTY-YEAR-MONTHLY-VALUES 2thPercentile 2M-TEMPERATURE

description: Climate Models
DOI: 10.17171/1-13-33106-1
title: WORLD GRIDDED-DATASET ECHAM5 4000BP MULTY-YEAR-MONTHLY-VALUES 2thPercentile EVAPORATION

description: Climate Models
DOI: 10.17171/1-13-33107-1
title: WORLD GRIDDED-DATASET ECHAM5 4000BP MULTY-YEAR-MONTHLY-VALUES 2thPercentile ICE-COVER

description: Climate Models
DOI: 10.17171/1-13-33108-1
title: WORLD GRIDDED-DATASET ECHAM5 4000BP MULTY-YEAR-MONTHLY-VALUES 2thPercentile LATENT-HEAT-FLUX

description: Climate Models
DOI: 10.17171/1-13-33109-1
title: WORLD GRIDDED-DATASET ECHAM5 4000BP MULTY-YEAR-MONTHLY-VALUES 2thPercentile MEAN-SEA-LEVEL-PRESSURE

description: Climate Models
DOI: 10.17171/1-13-33830-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP MULTY-YEAR-MONTHLY-VALUES 95thPercentile 2M-RELATIVE-HUMIDITY

description: Climate Models
DOI: 10.17171/1-13-33831-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP MULTY-YEAR-MONTHLY-VALUES 95thPercentile 2M-TEMPERATURE

description: Climate Models
DOI: 10.17171/1-13-33832-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP MULTY-YEAR-MONTHLY-VALUES 95thPercentile EVAPORATION

description: Climate Models
DOI: 10.17171/1-13-33833-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP MULTY-YEAR-MONTHLY-VALUES 95thPercentile ICE-COVER

description: Climate Models
DOI: 10.17171/1-13-33834-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP MULTY-YEAR-MONTHLY-VALUES 95thPercentile LATENT-HEAT-FLUX

description: Climate Models
DOI: 10.17171/1-13-33835-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP MULTY-YEAR-MONTHLY-VALUES 95thPercentile MEAN-SEA-LEVEL-PRESSURE

description: Climate Models
DOI: 10.17171/1-13-33836-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP MULTY-YEAR-MONTHLY-VALUES 95thPercentile SENSIBLE-HEAT-FLUX

description: Climate Models
DOI: 10.17171/1-13-33837-1
title: WORLD GRIDDED-DATASET ECHAM5 5000BP MULTY-YEAR-MONTHLY-VALUES 95thPercentile SNOW-DEPTH

description: Climate Models
DOI: 10.17171/1-13-34618-1
title: WORLD GRIDDED-DATASET ECHAM5 6000BP TIME-RANGE-VALUES 10thPercentile EVAPORATION

description: Climate Models
DOI: 10.17171/1-13-34619-1
title: WORLD GRIDDED-DATASET ECHAM5 6000BP TIME-RANGE-VALUES 10thPercentile ICE-COVER

description: Climate Models
DOI: 10.17171/1-13-34620-1
title: WORLD GRIDDED-DATASET ECHAM5 6000BP TIME-RANGE-VALUES 10thPercentile LATENT-HEAT-FLUX

description: Climate Models
DOI: 10.17171/1-13-34621-1
title: WORLD GRIDDED-DATASET ECHAM5 6000BP TIME-RANGE-VALUES 10thPercentile MEAN-SEA-LEVEL-PRESSURE

description: Climate Models
DOI: 10.17171/1-13-34622-1
title: WORLD GRIDDED-DATASET ECHAM5 6000BP TIME-RANGE-VALUES 10thPercentile SENSIBLE-HEAT-FLUX

description: Climate Models
DOI: 10.17171/1-13-34623-1
title: WORLD GRIDDED-DATASET ECHAM5 6000BP TIME-RANGE-VALUES 10thPercentile SNOW-DEPTH

description: Climate Models
DOI: 10.17171/1-13-34624-1
title: WORLD GRIDDED-DATASET ECHAM5 6000BP TIME-RANGE-VALUES 10thPercentile SNOW-FALL

description: Climate Models