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4,371 results for “Philippines”
Survey data on climate policy in three countries (Peru, Ghana, Philippines) within the project "Sustainable Middle Classes in Middle Income Countries: Transforming Carbon Consumption Patterns (SMMICC)"
<p>The unprecedented growth of the new middle classes in middle income developing countries implies a strong growth in both consumption and carbon emissions. The research project Sustainable Middle Classes in Middle Income Countries (SMMICC) investigates the drivers of carbon consumption choices of the new middle classes and policy options to decrease their carbon footprints, including the implementation of carbon taxes</p> <p>The research of the authors generated quantitative data on the acceptability of carbon taxes in three countries (Peru, Ghana, Philippines).</p> <p> </p> <p><strong>The data is provided in the following formats:</strong></p> <p>- 2024-07-26_malerba_10.5281/zenodo.12662722_ghana.csv<br>- 2024-07-26_malerba_10.5281/zenodo.12662722_peru.csv<br>- 2024-07-26_malerba_10.5281/zenodo.12662722_philippines.csv</p> <p>- 2024-07-26_malerba_10.5281/zenodo.12662722_ghana.dta<br>- 2024-07-26_malerba_10.5281/zenodo.12662722_peru.dta<br>- 2024-07-26_malerba_10.5281/zenodo.12662722_philippines.dta</p> <p>Additionally, the codebooks on variables of questionnaire and political parties in each country are attached in a csv format.</p>
Helminths, polyparasitism, and the gut microbiome in the Philippines
<p>Uploaded here are the raw FASTA files associated with this publication. Labelled P1-10, and 11-220.</p> <p><a href="https://zenodo.org/api/files/e3103a63-45d0-4b24-9786-d4f3a0f6534b/OTU%20tables%2C%20annotations%20and%20code%20book.zip">OTU tables, annotations and code book.zip</a> Annotations and OTU files for International Journal of Parasitology paper "Helminths, Polyparasitism, and the Gut Microbiome in the Philippines". Data set from human helminth infections from Palapag, the Philippines. Code book contains information on headings for the annotation file. OTUs generated by AGRF. Originally uploaded here; (<a href="http://dx.doi.org/10.17632/59j46prhvf.1">https://doi.org/10.17632/59j46prhvf.1</a>) </p> <p> </p> <p> </p>
A Dataset of Multilingual Facebook Comments on Moros and Armed Conflict in the Southern Philippines
<p>This dataset is a collection of 12,478 social media comments found on the official Facebook pages of ten Philippine newspapers, T<em>he Philippine Daily Inquirer, Manila Bulletin, The Philippine Star, The Manila Times, Sunstar Cebu, Sunstar Davao, Cebu Daily News, The Freeman, Sunstar Davao, MindaNews, </em>and <em>The Mindanao Times</em>, spanning the years 2015, 2017 and 2019. The comments contain terms related to the Moro identity and the Mamasapano Clash, the Marawi Siege and the establishment of BARMM in the southern Philippines, allowing researchers to study semantic fields with regard to Muslims and the relationship between the texts and the source newspaper, their region of origin, and political administration, among other variables. All comments in the dataset were downloaded through Facebook's Graph API via Facepager (Jünger & Keyling, 2019).</p> <p>One CSV file (MMB151719SOCMED_v2.csv) is provided, along with a codebook that contains descriptions of the variables and codes used in the CSV file, and a Readme document with a changelog. </p> <p>Each social media comment is annotated with the following metadata: </p> <ol> <li><strong>object_id</strong>: identifier associated with the comment;</li> <li><strong>message</strong>: the textual string of the comment;</li> <li><strong>message_proc:</strong> the textual string of the comment after pre-processing;</li> <li><strong>lang_label:</strong> categorical value for the language of the comment (Tagalog (Filipino), Cebuano, English, Taglish, Bislog, Bislish, Trilingual or Other);</li> <li><strong>from_name</strong>: identifier of public pages (not profiles of individuals) leaving comments (NaN for profiles of individuals, 'NAME' for public pages besides the newspapers, otherwise, the page name of the newspaper);</li> <li><strong>created_time</strong>: Facebook Graph API's-generated string for the date and time the comment was posted; </li> <li><strong>month_year</strong>: categorical value in the form string+YY (e.g. Jun-15) of the month and year when the comment was posted;</li> <li><strong>year</strong>: numerical value in the form YY; </li> <li><strong>newspaper</strong>: categorical value for the newspaper Facebook page under which the comment was found;</li> <li><strong>corpus</strong>: categorical value for comments from the main corpus or the side (control) corpus;</li> <li><strong>administration</strong>: categorical value for political administration (pbsa = President Benigno Aquino III, prrd = President Rodrigo Roa Duterte);</li> <li><strong>count</strong>: numerical value referring to the number of string sequences without spaces;</li> </ol> <p>The dataset may only be used for non-commercial purposes and is licensed under the <a href="https://creativecommons.org/licenses/by-nc-sa/4.0/" target="_blank" rel="noopener">CC BY-NC-SA 4.0 DEED.</a></p> <p>_____________________________________________________________________________________</p> <p>V2 - 05/06/2024</p> <p>Corrections</p> <ul> <li>Corrections made to region to include Luzon, Visayas and Mindanao (as opposed to Mindanao, non-Mindanao);</li> <li>Corrections made to administration coding. </li> </ul> <p> </p> <p>This dataset is described by: </p> <p><span>Cruz, F. A. (2024). </span><span>A Multilingual Collection of Facebook Comments on the Moro Identity and Armed Conflict in the Southern Philippines<em>. Journal of Open Humanities Data, 10</em>(1), 41. </span><span>DOI: <a href="https://doi.org/10.5334/johd.219" target="_blank" rel="noopener">https://doi.org/10.5334/johd.219</a></span></p> <p> </p> <p><strong>Bibiliography</strong></p> <div> <div>Jünger, J., & Keyling, T. (2019). <em>Facepager: An application for automated data retrieval on the web</em> (4.5.3) [Computer software]. <a href="https://github.com/strohne/Facepager/">https://github.com/strohne/Facepager/</a></div> <div> </div> <div> </div> </div>
Metadata for "Publishing on the 'international' in the Philippines: a lexicometric inquiry" (Cruz, 2020)
<p><br>This repository contains supplementary data for keyness and topic modeling tests ran in connection with the following book chapter: </p> <p><span><span>·<span> </span></span></span><span>Cruz, F. A. (2020). Publishing on the ‘International’ in the Philippines: A Lexicometric Inquiry. In F. Cruz & N. M. Adiong (Eds.) <em>International Studies in the Philippines: Mapping New Frontiers in Theory and Practice </em>(p. 66-85). Oxon/New York: Routledge. doi: 10.4324/9780429056512. </span></p> <ul> <li>The topic selections published can be found under .csv files 12_TopicsInDocs.csv, 12_DocsInTopics.csv, 12_Topics_Words.csv and 30_TopicsInDocs.csv, 30_DocsInTopics.csv, and 30_Topics_Words.csv.</li> <li>Keyness and wordlists labeled per decade and are in .txt form. </li> <li>The file DataList.xls contains a list of journals and authors used in the overview. They appear according to the template<em> year-journalcode-surname, </em>with the following codes: <em>Philippine Political Science Journal</em> (PPSJ), <em>Kasarinlan</em> (KAS), <em>the Journal of Critical Perspectives on Asia</em> (JCPA), <em>Philippine Studies</em> (PS), and the <em>Asia Pacific Social Science Review</em> (APSSR). </li> </ul>
CLDF dataset derived from Greenhill et al.'s "Austronesian Basic Vocabulary Database" from 2020 focusing on Philippine languages
<p>Cite the source of the dataset as:</p> <blockquote> <p>Greenhill, S.J., Blust. R, & Gray, R.D. (2008). The Austronesian Basic Vocabulary Database: From Bioinformatics to Lexomics. Evolutionary Bioinformatics, 4:271-283.</p> </blockquote>
National Checklists 2017: Philippines Species List
Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See <p></p>https://github.com/diatomsRcool/checklists for details<p></p>A list of species from Philippines collected using effechecka and geonames polygons
Water Body Checklists 2019: Philippine Sea Species List
Species checklists created using effechecka and modified polygons from IHO. The polygons were reduced in resolution.<p></p>List of species collected from the Philippine Sea using effechecka and a modified polygon from the International Hydrographic Association. A filter was applied (based on data from WoRMS) to remove all non-marine taxa.
National Checklists 2019: Philippines Species List
Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See <p></p>https://github.com/diatomsRcool/checklists for details.<p></p>A list of species from Philippines collected using effechecka and geonames polygons
Water Body Checklists: Philippine Sea Species List
Species checklists created using effechecka and modified polygons from IHO. The polygons were reduced in resolution.<p></p>List of species collected from the Philippine Sea using effechecka and a modified polygon from the International Hydrographic Association. A filter was applied (based on data from WoRMS) to remove all non-marine taxa.
Canopy top height and indicative high carbon stock maps for Indonesia, Malaysia, and Philippines
<p>Canopy top height and indicative high carbon stock maps for Indonesia, Malaysia, and Philippines. The provided land cover maps follow the high carbon stock approach (HCSA) stratifying vegetation based on the estimated carbon density (aboveground biomass). A deep convolutional neural network was trained to estimate canopy top height from Sentinel-2 optical satellite images using reference data derived from GEDI lidar waveforms. Carbon density and high carbon stock classes were derived from these dense canopy height maps using calibration data from an airborne lidar campaign in Sabah, Borneo. The resulting maps have a ground sampling distance (GSD) of 10 m and are based on images between 1st of September 2020 and 1st of March 2021.</p> <p>The style files (color_style_HCS.qml, color_style_canopy_top_height.qml) contain the color coding and can be loaded for visualization (e.g. in QGIS).</p> <p>The indicative HCS maps contain 9 land cover categories noted as "Label: name [colorcode]":</p> <p> 0: Open land (OL) [#440154]<br> 1: Scrub (S) [#404387]<br> 2: Young regenerating forest (YRF) [#29788e]<br> 3: Low density forest (LDF) [#22a884]<br> 4: Medium density forest (MDF) [#7ad251]<br> 5: High density forest (HDF) [#fde725]<br> 10: Oil palm [#fcffa4]<br> 11: Coconut [#a4feff]<br> 50: Urban [#fa0000]<br> 255: No data</p> <p><strong>Citation: </strong>Use of these data require citation of this dataset and the original research articles. These citations are as follows:</p> <p>Lang, N., Schindler, K., & Wegner, J. D. (2021). High carbon stock mapping at large scale with optical satellite imagery and spaceborne LIDAR. arXiv preprint arXiv:2107.07431.</p> <p>Rodríguez, A. C., D'Aronco, S., Schindler, K., & Wegner, J. D. (2021). Mapping oil palm density at country scale: An active learning approach. <em>Remote Sensing of Environment</em>, <em>261</em>, 112479.</p> <p>Lang, N., Rodríguez, A. C., Schindler, K., & Wegner, J. D. (2021). Canopy top height and indicative high carbon stock maps for Indonesia, Malaysia, and Philippines (Version 1.0) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.5012448</p> <p> </p>
Sampling-event dataset of short-term monitoring in Poblacion and Kadurong Reefs in Liloan, Cebu, Philippines
<p>This is a sampling-event dataset of the short-term monitoring of Poblacion and Kadurong Reefs, two of the marine protected areas Municipality of Liloan, Cebu, Philippines. Water quality and ecological assessments were carried out to monitor the status and trends of biological and physical parameters associated with coral reefs using the standard protocols for surveying tropical marine resources. Specifically, the following measurements were conducted: (1) physico-chemical parameters, (2) phytoplankton and zooplankton occurrence and abundance, (3) fish occurrence and density, and (4) percent cover of benthic components of coral reef. The data can serve as the basis for the formulation and implementation of relevant measures for conservation and protection management of the Poblacion and Kadurong Reefs in Liloan, Cebu, Philippines. </p> <p>In this version, occurrence.csv was revised as described below:</p> <ul> <li>TaxonID for <em>Abudefduf vaigiensis</em> (Quoy & Gaimard, 1825) and <em>Hemiaulus</em> P.A.C. Heiberg, 1863 were corrected.</li> <li>Author names with corrupted characters/symbols were corrected. </li> </ul> <p> </p>
Short-term Monitoring of Coral Reef Marine Protected Areas (MPAs) in the Municipality of Liloan, Central Visayas, Philippines
<p>This is a sampling-event dataset of the short-term monitoring of Poblacion and Kadurong Reefs, two of the marine protected areas Municipality of Liloan, Cebu, Philippines. Water quality and ecological assessments were carried out to monitor the status and trends of biological and physical parameters associated with coral reefs using the standard protocols for surveying tropical marine resources. Specifically, the following measurements were conducted: (1) physico-chemical parameters, (2) phytoplankton and zooplankton occurrence and abundance, (3) fish occurrence and density, and (4) percent cover of benthic components of coral reef. The data can serve as the basis for the formulation and implementation of relevant measures for conservation and protection management of the Poblacion and Kadurong Reefs in Liloan, Cebu, Philippines.</p> <p>In this version, occurrence.csv was revised as described below:</p> <ul> <li>taxonID for <em>Abudefduf vaigiensis</em> (Quoy & Gaimard, 1825) and <em>Hemiaulus</em> P.A.C. Heiberg, 1863 were corrected.</li> <li>Author names with corrupted characters/symbols were corrected. </li> </ul>
High-Resolution Daily Precipitation Data over the Philippines (Alcantara and Ahn, 2023)
<p>The high-resolution nationwide 20-year (2001-2020) daily precipitation data over the Philippines generated by Alcantara and Ahn (2023) is a dataset that provides daily precipitation data for the entire country with a spatial resolution of 0.1° x 0.1°. This dataset is created using the Quadruple Collocation (QC) approach, which combines four parent datasets - ERA5, PERSIANN, CHIRPS, and GPM - to produce a more accurate dataset than any of the individual parent datasets. The dataset is available in NetCDF format (version 4), which is a standardized data format commonly used for the exchange of large data files. This format can be read using major programming languages such as R, Python, C++, and others, making it easily accessible for use in various research applications. With its high spatial and temporal resolution, the dataset can be a valuable resource for climate research, hydrological modeling, and other related fields. In the future, data from 2021 up to present will also be added.</p>
Figures 17–22 in Cylindera (Conidera) mindoroana sp. n. (Coleoptera: Cicindelidae), a new tiger beetle species from the Philippines
Figures 17–22. Endophallic structures, arrows indicate possibly species-specific characters. 17–19) Left side. 17) C. mindoroana new species. 18) C. conicollis (Schaum, 1862). 19) C. mandibularis (Schaum, 1860). 20–22) Right side. 20) C. mindoroana new species. 21) C. conicollis (Schaum, 1862). 22) C. mandibularis (Schaum, 1860).
Figures 14–16 in Cylindera (Conidera) mindoroana sp. n. (Coleoptera: Cicindelidae), a new tiger beetle species from the Philippines
Figures 14–16. Median lobe of aedeagus. 14) C. mindoroana new species. 15) C. conicollis (Schaum, 1862). 16) C. mandibularis (Schaum, 1860).
Figures 42–54 in Remarks on the subgenus Cylinderina Rivalier (Coleoptera: Cicindelidae: Cylindera) from the Philippines with description of a new species 144. Contribution towards the knowledge of the Cicindelidae
Figures 42–54. Cylindera (Cylinderina). All scales = 1 mm. 42–48. C. (C.) genieri Cassola and Werner, 2003. 42) Habitus, paratype male from Balaoi (SDEI). 43) Left lateral view of aedeagus, male from Pagudpud (CDFC). 44–45. Left elytron. 44) Paratype male from Balaoi (SDEI). 45) Paratype female from Balaoi (JWGC). 46–48. Labrum. 46) Paratype male from Balaoi (SDEI). 47) Male from Pagudpud (CDFC). 48) Paratype female from Balaoi (JWGC). 49–54. C. (C.) vandenberghei Dheurle, 2016. 49) Habitus, paratype female from Santa Ana (JWGC). 50) Left lateral view of aedeagus, paratype from Santa Ana (CDFC). 51–52. Left elytron. 51) Paratype male from Santa Ana (CDFC). 52) Paratype female from Santa Ana (JWGC). 53–54. Labrum. 53) Paratype male from Santa Ana (CDFC). 54) Paratype female from Santa Ana (JWGC)
Figures 17–28 in Remarks on the subgenus Cylinderina Rivalier (Coleoptera: Cicindelidae: Cylindera) from the Philippines with description of a new species 144. Contribution towards the knowledge of the Cicindelidae
Figures 17–28. Cylindera (Cylinderina). All scales = 1 mm. 17–22. C. (C.) sierramadrensis, new species. 17) Habitus, paratype female from Dingalan (JWGC). 18) Left lateral view of aedeagus, holotype from Dingalan (JWGC). 19–20. Left elytron. 19) Holotype male from Dingalan (JWGC). 20) Paratype female from Dingalan (JWGC). 21–22. Labrum. 21) Holotype male from Dingalan (JWGC). 22) Paratype female from Dingalan (JWGC). 23–28. C. (C.) pseudonana (Horn, 1924). 23) Habitus, lectotype male from Mt. Banahao (SDEI). 24) Left lateral view of aedeagus, lectotype from Mt. Banahao (SDEI). 25–26. Left elytron. 25) Lectotype male from Mt. Banahao (SDEI). 26) Paralectotype female (SDEI). 27–28. Labrum. 27) Lectotype male from Mt. Banahao (SDEI). 28) Paralectotype female (SDEI).
Figures 6–11. Termitodiellus mindanaoensis, new species. 6 in Termitodiellus mindanaoensis, a new species of Rhyparini Schmidt, 1910 (Scarabaeidae: Aphodiinae) from the Philippines
Figures 6–11. Termitodiellus mindanaoensis, new species. 6) Head, holotype male. 7) Left mesotibia, paratype male. 8) Left mesotibia, paratype female. 9) Aedeagus, dorsal view. 10) Aedeagus, lateral view. 11) Epipharynx.
Fig. 10 in Philippine mossy forest stick insects: first record of the genus Otraleus Günther, 1935 in the country, with four new species, and the new genus Capuyanus gen. nov. (Phasmida, Diapheromeridae, Necrosciinae)
Fig. 10. Otraleus spp., photographs in natura. — A–F. O. christianae sp. nov. A. ♂, 16 Nov. 2013. B. ♀, 16 Nov. 2013. C. ♂, 15 Mar. 2015. D. ♂, nymph, 15 Mar. 2015. E–F. ♀, nymph, 24 Aug. 2015. — G–H. O. elizabethae sp. nov., ♀, 11 Apr. 2013 (photographs: A–F © A. Kang; G–H © T. Heitzmann).
Fig. 2 in Philippine mossy forest stick insects: first record of the genus Otraleus Günther, 1935 in the country, with four new species, and the new genus Capuyanus gen. nov. (Phasmida, Diapheromeridae, Necrosciinae)
Fig. 2. Otraleus applai sp. nov., ♂, holotype. A. Habitus, dorsal view. B. Habitus, lateral view. C. Habitus, ventral view. D. Anterior part of body, dorsal view. E. Apex of abdomen, dorsal view. F. Apex of abdomen, ventral view. G. Apex of abdomen, lateral view. H. Anterior part of body, lateral view. D–H: not to scale.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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International Brain Laboratory public data
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OpenNeuro
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