BUSCADOR RECOLECTA

The seven TXT files cointain the information related to the concrete discs tested for the paper indicated in "RELATED PUBLICATIONS" of this file (https://doi.org/10.1016/j.ijrmms.2020.104380). The names of the files coincide with the disc numbers indicated in the table 4 of the mentionned article. The gauges are numbered from left to right as 1,2,3,4 and 5 respectively (see figures 2 and 3). The dimensions of the discs are described in the table 1 of the article and their composition is indicated in the part "2.1 Material"

Project developed by Giovanni Federico (Università di Pisa) and Antonio Tena Junguito (Universidad Carlos III de Madrid). This data base outlines changes in world trade from 1800 to 2016. Dataset: Korea

Project developed by Christopher Absell (University Gothenburg and Instituto Figuerola) Giovanni Federico (New York University Dubai) and Antonio Tena Junguito (Universidad Carlos III de Madrid and Instituto Figuerola). Dataset: Lesotho

Project developed by Christopher Absell (University Gothenburg and Instituto Figuerola) Giovanni Federico (New York University Dubai) and Antonio Tena Junguito (Universidad Carlos III de Madrid and Instituto Figuerola). Dataset: Paraguay

El conjunto de datos se compone de 96 archivos NetCDF, comprimidos en formato zip, representando una escala temporal distinta que abarca desde 1 hasta 48 meses. Se puede acceder y manipular estos archivos utilizando diversas herramientas de software, incluidas aplicaciones SIG como QGIS y ArcMap, aplicaciones especializadas como Panoply (https://www.giss.nasa.gov/tools/panoply/), y librerías específicas como ncdf4, raster o terra en R, así como netCDF4 o xarray en Python, entre otras. Cada archivo NetCDF contiene una matriz tridimensional con dimensiones de 720x360x1476. Los píxeles de tierra se identifican con el valor 1.0x10^30 y los errores de cálculo con valores NaN. El conjunto de datos se ha generado en R utilizando el paquete SPEI (http://cran.r-project.org/web/packages/SPEI)., [EN] A monthly global dataset of a multiscalar drought index is presented and compared in terms of spatial and temporal variability with the existing continental and global drought datasets based on the Palmer drought severity index (PDSI, scPDSI). The new dataset is based on the standardized precipitation evapotranspiration index (SPEI). The index was obtained from the CRU TS3.0 data, covering time scales from 1 to 48 months for the period 1901-2006, and has a spatial resolution of 0.5°. The advantages of the new dataset are that: i) it improves the spatial resolution of the unique global drought dataset at a global scale; ii) it is spatially and temporally comparable to other datasets, given the probabilistic nature of the SPEI, and, in particular; iii) it enables identification of various drought types, given the multiscalar character of the SPEI. More details at: https://spei.csic.es/database.html, [ES] Se presenta un conjunto de datos globales mensuales de un índice de sequía multiescalar y se compara en términos de variabilidad espacial y temporal con los conjuntos de datos de sequía continentales y globales existentes basados en el índice de severidad de la sequía de Palmer (PDSI, scPDSI, por su acrónimo en inglés). El nuevo conjunto de datos se basa en el índice estandarizado de evapotranspiración de las precipitaciones (SPEI, por su acrónimo en inglés). El índice se obtuvo a partir de los datos del CRU TS3.0, cubre escalas temporales de 1 a 48 meses para el periodo 1901-2006 y tiene una resolución espacial de 0,5°. Las ventajas del nuevo conjunto de datos son que: i) mejora la resolución espacial del único conjunto de datos mundial sobre sequía a escala global; ii) es comparable espacial y temporalmente con otros conjuntos de datos, dada la naturaleza probabilística del SPEI, y, en particular; iii) permite identificar varios tipos de sequía, dado el carácter multiescalar del SPEI. Más detalles en: https://spei.csic.es/database.html, This work was not supported by any external funding., Peer reviewed

The dataset is freely available on the web repository of the Spanish National Research Council (CSIC) in three different formats (NetCDF, binary raster, and plain text)., Format: raw binary. The raw binary archive is composed of 576 zipped files, corresponding to the SPEI index at time scales between 1 and 48 months for the whole World and divided by decades (except the last file, containing only data for the period 2001-2006). Each zipped file contains three files, one with the data itselt (.img), and two headers (.doc and .hdr). The information contained in the header files is equivalent, and allows direct access to the data using some widely used commercial programs. Naming convention: spei[tempscale]_[decade].zip, where [tempscale] is a number between 1 and 48 indicating the temporal scale of the index (months), and [decade] indicates the years of data contained in the file. Example: spei12_1910-1919.zip. All currently available gridded drought datasets at continental and global scales are based on either the PDSI or the sc-PDSI. A new global drought dataset based on the Standardised Precipitation-Evapotranspiration Index (SPEI) has been developed, which covers time scales from 1-48 months at a spatial resolution of 0.5°, and provides temporal coverage for the period 1901-2006. This dataset represents an improvement in spatial resolution and operative capability of previous gridded drought datasets based on the PDSI, and enables identification of various drought types. A monthly global dataset of a multiscalar drought index is presented and compared in terms of spatial and temporal variability with the existing continental and global drought datasets based on the Palmer drought severity index (PDSI, scPDSI). The new dataset is based on the standardized precipitation evapotranspiration index (SPEI). The index was obtained from the CRU TS3.0 data, covering time scales from 1 to 48 months for the period 1901-2006, and has a spatial resolution of 0.5°. The advantages of the new dataset are that: i) it improves the spatial resolution of the unique global drought dataset at a global scale; ii) it is spatially and temporally comparable to other datasets, given the probabilistic nature of the SPEI, and, in particular; iii) it enables identification of various drought types, given the multiscalar character of the SPEI. More details at: http://www.eead.csic.es/spei/spei.html, The Global 0.5° gridded SPEI dataset is made available under the Open Database License. Any rights in individual contents of the database are licensed under the Database Contents License. Users of the dataset are free to share, create and adapt under the conditions of attribution and share-alike. Use of the newest version is recommended. Older versions are still available to allow replicability., All currently available gridded drought datasets at continental and global scales are based on either the PDSI or the sc-PDSI. A new global drought dataset based on the Standardised Precipitation-Evapotranspiration Index (SPEI) has been developed, which covers time scales from 1-48 months at a spatial resolution of 0.5°, and provides temporal coverage for the period 1901-2006. This dataset represents an improvement in spatial resolution and operative capability of previous gridded drought datasets based on the PDSI, and enables identification of various drought types., A monthly global dataset of a multiscalar drought index is presented and compared in terms of spatial and temporal variability with the existing continental and global drought datasets based on the Palmer drought severity index (PDSI, scPDSI). The new dataset is based on the standardized precipitation evapotranspiration index (SPEI). The index was obtained from the CRU TS3.0 data, covering time scales from 1 to 48 months for the period 1901-2006, and has a spatial resolution of 0.5°. The advantages of the new dataset are that: i) it improves the spatial resolution of the unique global drought dataset at a global scale; ii) it is spatially and temporally comparable to other datasets, given the probabilistic nature of the SPEI, and, in particular; iii) it enables identification of various drought types, given the multiscalar character of the SPEI. More details at: http://www.eead.csic.es/spei/spei.html

The dataset is freely available on the web repository of the Spanish National Research Council (CSIC) in three different formats (NetCDF, binary raster, and plain text)., Format: The plain text archive is composed of 576 zipped files, corresponding to the SPEI index at time scales between 1 and 48 months for the whole World and divided by decades (except the last file, containing only data for the period 2001-2006). Each zipped file contains one plain text file (.csv). Data on those files are separated by commas, ′,'. Naming convention: spei[tempscale]_[decade].zip, where [tempscale] is a number between 1 and 48 indicating the temporal scale of the index (months), and [decade] indicates the years of data contained in the file. Example: spei12_1910-1919.zip. Data are stored as plain text separated by commas, ','. Each file contains the following columns: GRAPH_ID (cell identification), X (longitude coordinate), Y (latitude coordinate), mmmaaaa (the monthly SPEI values, e.g. Jan1910)., The Global 0.5° gridded SPEI dataset is made available under the Open Database License. Any rights in individual contents of the database are licensed under the Database Contents License. Users of the dataset are free to share, create and adapt under the conditions of attribution and share-alike. Use of the newest version is recommended. Older versions are still available to allow replicability., All currently available gridded drought datasets at continental and global scales are based on either the PDSI or the sc-PDSI. A new global drought dataset based on the Standardised Precipitation-Evapotranspiration Index (SPEI) has been developed, which covers time scales from 1-48 months at a spatial resolution of 0.5°, and provides temporal coverage for the period 1901-2006. This dataset represents an improvement in spatial resolution and operative capability of previous gridded drought datasets based on the PDSI, and enables identification of various drought types., A monthly global dataset of a multiscalar drought index is presented and compared in terms of spatial and temporal variability with the existing continental and global drought datasets based on the Palmer drought severity index (PDSI, scPDSI). The new dataset is based on the standardized precipitation evapotranspiration index (SPEI). The index was obtained from the CRU TS3.0 data, covering time scales from 1 to 48 months for the period 1901-2006, and has a spatial resolution of 0.5°. The advantages of the new dataset are that: i) it improves the spatial resolution of the unique global drought dataset at a global scale; ii) it is spatially and temporally comparable to other datasets, given the probabilistic nature of the SPEI, and, in particular; iii) it enables identification of various drought types, given the multiscalar character of the SPEI. More details at: http://www.eead.csic.es/spei/spei.html

The collected data are stored into a Microsoft Access® database that has been designed to be physically integrated into a GIS system. The main structure of this initial database is built around the main table, named ‘AGENTS’, in which all biographic data related to the individual agents are entered taking into account the various ‘worlds’ each agent belongs to – social, economic etc. An individual study and classification has been carried out for each agent; then an attempt has been made to understand the collectivity as the sum total of all these individuals since all of these are related, as can be observed in the database. In relation to the agents, what is new about this initial database is that the investigation is not limited to agents who are merchants by profession. Instead, any relevant data has been collected related to any agent that takes part in cooperation: representatives, corsairs and pirates, capitalist partners, agents, consignees, etc. All of the latter are agents taking part in cooperation and are part of a global network of trade, smuggling, looting or any other type of cooperation or commercial operation. Format: It is a Database in Access® with 30 tables. It contains several queries about actions, agents, cooperation, fleets and ships. All data have identifiers that relate tables. It has 21 full forms that give information on cooperation among agents while identifying partners. Lists with goods and ships are included. A table named ‘COOPERATIONS’ is also defined, in which all forms of commercial relationships – business, Company, Society, etc. -are represented which take place between agents. This again is new as the study is not limited to a specific type of commercial operation but has been extended to all types of goods transactions in which two or more agents are involved, be it legal or illegal, be the goods slaves or metals. The objective is to identify all types of commercial networks. In fact, as agents we have people, Societies, Companies, Institutions, etc. There is also a table named ‘ACTIONS’ where all activities or actions are entered, such as money lending, job commissioning, etc., that occurred within cooperation and were quoted by the sourced used. This table is related to another, very important one – ‘SHIPS’. Many of the remaining tables in the initial Access® database store typologies - places, professions, etc. Having chosen the previously described tables as primary (Agents, Cooperation, Actions and Ships) allows us to analyze the various commercial, professional and interpersonal relationships between the various agents, laying the emphasis on their geographic location, chronologic moment and degree of kinship; in short, the cooperation networks they built. (e.g. the importance of Nicholas Magens as a merchant, or that of the Roo or the Amsick families, whose range of action could spread from Alicante to Elche in Spain or from Cadiz to Manila via Mexico. A Spanish-English glossary is attached to facilitate the understanding of the terminology on the data set. Publications: Crespo Solana, Ana y Owens, Jack J. B. “Dynamic Complexity of Cooperation-Based Self-Organising Networks in the First Global Age (DynCoopNet)” The Evolution of Cooperation and Trading”, By Ronald Noë, Rüdiger Klein, Julia Boman, Claire Rustat-Flinton, eds., Strasbourg, European Science Foundation, 2008, pp. 23-35. http://www.esf.org/activities/eurocores/programmes/tect.html Alonso García, David & Crespo Solana, Ana (coords.) Self-Organising Networks and Trading Cooperation: GIS tools in the visualization of the Atlantic Economic Expansion (1400-1800), 2011 (forthcoming). Contents License: This data set is made available under the Open Database License http://opendatacommons.org/licenses/dbcl/1.0/. Users of the dataset are free to share, create and adapt under the conditions of attribution and share-alike., This database contains information on Atlantic trade with data on agents, commercial activities, maritime routes, freights, ships, monopolistic commercial companies, businesses, goods, and, above all, events, actions and relationships of cooperation among trade networks. These data fall within the chronological framework between 1648 and 1778 and a wide geographic expanse with place names and cartographic data from Africa, Europe and America during the First Global Age – 16th-18th centuries. This database has been adapted to a GIS-oriented conceptual model (GIS – Geographic Information System). The right choice of sources for the immense amount of information collected by the database has been crucial. As we were conscious that not all the information from the sources could be gathered, especially from archival sources, only the information that is relevant to this investigation has been selected – here quantity does not necessarily mean quality. Information has been harvested from a great variety of sources, whether bibliographic and archival. The common ground of all this information is that it refers to commercial agents and their activities along the maritime routes that were linked to the European Atlantic System during the above mentioned chronological period. The information contained is on legal trade, commercial monopolies, smuggling, illicit trade, trade undertaken by European commercial companies operating under on behalf of merchant nations such as Holland, France or England, and, above all, information on the shipping carried out within the Spanish commercial system with America or Indies Trade, i.e. registers of the outbound and inbound fleets, passenger lists bound for the Indies, traders’ licences, dictionaries on seafaring and shipping, etc. In order to select the sources to be used, advice was sought from specialists in this field. Also the NACOM bibliographic catalogue was consulted. This catalogue consists of a bibliographical list on merchant communities in the Modern Age and is regularly updated. It has been compiled as part of the project MICINN (2006-HUM-01679) under the Spanish Plan Nacional de Investigación programme. The criterion for the selection of sources was, firstly, that they contain information on relationships between merchant networks and communities, and secondly, that the data contained was either biographical or professional of the agents that were part of those communities or were otherwise related to them. A part of information has been sourced on other databases available on the internet., This data set has been elaborated within the project: Dynamic Complexity of Cooperation-Based Self-Organizing Commercial Networks in the First Global Age (Acrónim: DynCoopNet). Funding by EUROCORES Programme, European Science Foundation TECT call: “The Evolution of Cooperation and Trading”, and by the MICINN (Acciones Complementarias: SEJ2007-29226)., Peer reviewed

This corresponds to a series of approximately 40,000 quantum chemical calculations on one single system, the model dipeptide HCO-L-Ala-NH2, with 16 atoms and no charge. The conformational space of this molecule is scanned by defining a regular 12x12 grid from -165º to 165º in 30º steps in the 2D space spanned by its Ramachandran angles phi and psi. The energy at each of these 144-points set is calculated using using the methods RHF and MP2, and a large number of Pople basis sets ranging from 3-21G to 6-311++G(2df,2pd). These methods are combined using the same one for the geometry optimization and the energy calculation (homolevel) or different ones (heterolevel). The dataset contains 274 grids, each one corresponding to a different homo- or heterolevel. This consists of a set of human-readable ASCII files in the output format of Gaussian 03, in folders with descriptive names and compressed using tar and gzip (i.e., you need the GNU applications tar and gzip to uncompress them). Created with Gaussian 03, Revision C.02. Readable with any text editor. This dataset is made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/. Any rights in individual contents of the database are licensed under the Database Contents License: http://opendatacommons.org/licenses/dbcl/1.0/, This dataset is the basis of an exhaustive published study (see https://digital.csic.es/handle/10261/35334) of more than 250 ab initio potential energy surfaces (PESs) of the model dipeptide HCO-L-Ala-NH2. The model chemistries (MCs) investigated are constructed as homo- and heterolevels involving possibly different RHF and MP2 calculations for the geometry and the energy. The basis sets used belong to a sample of 39 representants from Pople's split-valence families, ranging from the small 3-21G to the large 6-311++G(2df,2pd). The reference PES to which the rest are compared is the MP2/6-311++G(2df,2pd) homolevel, which, as far as we are aware, wss the most accurate PES in the literature at the moment of its publication. The great number of MCs evaluated has allowed us to significantly explore this space and show that the correlation between accuracy and computational cost of the methods is imperfect, thus justifying a systematic search for the combination of features in a MC that is optimal to deal with peptides. Regarding the particular MCs studied, the most important conclusion is that the potentially very cost-saving heterolevel approximation is a very efficient one to describe the whole PES of HCO-L-Ala-NH2. Finally, we show that, although RHF may be used to calculate the geometry if a MP2 single-point energy calculation follows, pure RHF//RHF homolevels are not recommendable for this problem., This work has been supported by the research projects E24/3 and PM048 (Aragón Government), MEC (Spain) FIS2006-12781-C02-01 and MCyT (Spain) FIS2004-05073-C04-01. P. Echenique was supported by a BIFI research contract., Peer reviewed