cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.dsynbq
title: Occurrence Download

description: A dataset containing 6122 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Asthenes ottonis (Berlepsch, 1901)"
 ]
}

 The dataset includes 6122 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019222-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-10.2917489/2468149
title: Data for EMSL Project 51735 from October 2023
DOI: 10.15468/dl.jut53h
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pristimantis orcesi (Lynch, 1972)"
 ]
}

 The dataset includes 55 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019224-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14457/tu.the.2023.1073
title: The association among environmental factors, economic factors and NCDs: implications for Thailand's economy

description: Non-communicable diseases (NCDs) represent a critical public health and economic challenge in Thailand. This research investigates the impact of environmental and economic factors on NCDs mortality including diabetes, hypertension, ischemic heart disease, and chronic respiratory diseases. across Thai provinces between 2018 and 2021. By incorporating machine learning and spatial analysis, the study analyzes a range of satellite-derived environmental data, along with economic indicators. The application of machine learning with Random Forest Model provides a high-accuracy prediction of NCDs mortality rates, achieving predictive accuracies between 98% and 99%. The analysis reveals that population density, urbanization levels, economic conditions, land use patterns, and climatic factors are significant predictors of NCDs mortality. Spatial analysis further uncovers distinct spatial patterns and clusters of NCDs mortality, emphasizing the influence of geographical location and neighboring effects. These findings highlight the intricate linkages between environmental and economic determinants and their role in shaping NCDs mortality trends in Thailand. The results underscore the necessity for targeted public health policies and interventions that address specific environmental and economic risk factors, with the goal of reducing the NCDs burden and enhancing public health outcomes.
DOI: 10.25582/data.2023-10.2917490/2468150
title: Data for EMSL Project 51735 from October 2023
DOI: 10.15468/dl.7bhb7b
title: Occurrence Download

description: A dataset containing 7251 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "TaxonKey is Rupicola peruvianus (Latham, 1790)",
 "Year 2014-2024"
 ]
}

 The dataset includes 7251 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019223-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14457/tu.the.2023.1074
title: Geospatial analysis for mapping poverty in the Philippines

description: This thesis explores the use of satellite imagery, geospatial data, spatial econometric methods, and machine learning techniques to map poverty in the Philippines for the years 2012, 2015, and 2018. By combining remote sensing data with municipal-level poverty estimates, the study evaluates various models effectiveness in predicting poverty. Spatial econometric models, including the spatial lag model (SLM) and spatial error model (SEM), reveal significant spatial patterns and consistently outperform the ordinary least squares (OLS) model. In addition, the research assesses machine learning algorithms such as generalized least squares (GLS) regression, neural networks, random forest, and support vector regression (SVR). The random forest model emerges as the most reliable predictor and the highest accuracy. Key predictors of poverty include nighttime light, road density, points of interest, and urban land surface, with environmental factors like water availability and drought conditions also playing significant roles. Integrating spatial analysis with advanced machine learning provides a robust framework for understanding and predicting poverty. This approach enhances the accuracy of poverty predictions and guides the development of effective poverty reduction strategies in the Philippines.
DOI: 10.25582/data.2023-10.2917491/2468151
title: Data for EMSL Project 51735 from October 2023
DOI: 10.14457/tu.the.2023.1075
title: Foreign direct investment in Myanmar: the role of financial development

description: This study examines the influence of financial development on Foreign Direct Investment (FDI) in Myanmar from 2016 to 2022 by utilizing the Generalized Method of Moments (GMM) and Principal Component Analysis (PCA). The analysis focuses on financial development indicators related to the banking sector, stock andbond markets. The findings suggest that state-owned loans initially have a positiveinfluence on FDI inflows. But over time, this beneficial influence turns into negativeand points to possible long-term economic issues that could result in fiscal constraints. Moreover, the results highlight the influence of a healthy financial system in attracting FDI in Myanmar with a strong capital-to-assets ratio. A favorable investment climate is also linked to well-functioning financial markets as demonstrated by active stock and bond markets. Furthermore, in Myanmar, variables of political stability, exchange rate and trade openness appear as critical elements to attract foreign investment.
DOI: 10.25582/data.2023-10.2917492/2468152
title: Data for EMSL Project 51735 from October 2023
DOI: 10.14457/tu.the.2023.1076
title: อิทธิพลของการรับรู้มิติความแตกต่างทางวัฒนธรรมที่มีต่อประสิทธิภาพในการทำงานของบุคลากรไทยในองค์กรข้ามชาติอินเดีย

description: การวิจัยนี้มีวัตถุประสงค์เพื่อศึกษาการรับรู้ความแตกต่างมิติทางวัฒนธรรม และประสิทธิภาพในการทำงานของบุคลากรไทยในองค์กรข้ามชาติอินเดีย ศึกษาความแตกต่างระหว่างภูมิหลังกับการรับรู้ความแตกต่างมิติทางวัฒนธรรมของบุคลากรไทยในองค์กรข้ามชาติอินเดีย และศึกษาอิทธิพลระหว่างการรับรู้ความแตกต่างมิติทางวัฒนธรรมกับประสิทธิภาพในการทำงานของบุคลากรไทยในองค์กรข้ามชาติอินเดีย เป็นการวิจัยเชิงปริมาณ รูปแบบการวิจัยเชิงสำรวจ กลุ่มตัวอย่างเป็นบุคลากรไทยในองค์กรข้ามชาติอินเดีย ที่มีอายุงานตั้งแต่ 4 เดือนขึ้นไป จำนวน 230 คน ผลการศึกษาพบว่า กลุ่มตัวอย่างมีการรับรู้มิติความแตกต่างทางวัฒนธรรมในองค์กรข้ามชาติอินเดียภาพรวมในระดับมาก (3.57) โดยมีการรับรู้มิติความแตกต่างทางวัฒนธรรมในมิติความเหลื่อมล้ำทางอำนาจมากที่สุด (3.83) และกลุ่มตัวอย่างมีความคิดเห็นเกี่ยวกับประสิทธิภาพในการทำงานของตนเองในภาพรวมในระดับมาก (4.02) ผลการทดสอบสมมติฐาน พบว่าบุคลากรไทยในองค์กรข้ามชาติอินเดียที่มีเพศ อายุงาน ตำแหน่งงาน และแผนกที่แตกต่างกัน จะมีการรับรู้ความแตกต่างมิติทางวัฒนธรรมในภาพรวมไม่แตกต่างกัน ส่วนการรับรู้ความแตกต่างมิติทางวัฒนธรรมในมิติความเป็นชายและความเป็นหญิง มีอิทธิพลต่อประสิทธิภาพในการทำงานของบุคลากรไทยในองค์กรข้ามชาติอินเดียในทุกด้าน ทั้งด้านคุณภาพงาน ด้านปริมาณงาน ด้านเวลา และด้านค่าใช้จ่าย ในขณะที่การรับรู้ความแตกต่างมิติทางวัฒนธรรมในมิติความเหลื่อมล้ำทางอำนาจและมิติการมุ่งเน้นเป้าหมายระยะยาวไม่มีอิทธิพลต่อประสิทธิภาพในการทำงานของบุคลากรไทยในองค์กรข้ามชาติอินเดียในทุกด้าน
DOI: 10.25582/data.2023-10.2917493/2468153
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917494/2468154
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917495/2468155
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917496/2468156
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917497/2468157
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917498/2468158
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917499/2468159
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917501/2468160
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917502/2468161
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917503/2468162
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917504/2468163
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917505/2468164
title: Data for EMSL Project 51735 from October 2023
DOI: 10.15468/dl.2uvuxf
title: Occurrence Download

description: A dataset containing 1205 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Cis bidentatus (Olivier, 1790)",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 1205 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019226-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-10.2917506/2468165
title: Data for EMSL Project 51735 from October 2023
DOI: 10.15468/dl.wpgeuc
title: Occurrence Download

description: A dataset containing 3975 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oreonympha nobilis Gould, 1869"
 ]
}

 The dataset includes 3975 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019227-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-10.2917508/2468166
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917509/2468167
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917510/2468168
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917511/2468169
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917512/2468170
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917513/2468171
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917514/2468172
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917515/2468173
title: Data for EMSL Project 51735 from October 2023
DOI: 10.6084/m9.figshare.27245481.v2
title: ab_rsmi_data.zip

description: This repository contains the data used to generate the results in the paper "Compression theory for inhomogeneous systems".<br>Structure of the repository:<b>Data</b>The included data directories are as follows:<br><b>Graph structure details of the Ammann-Beenker tiling</b> are provided in `quasiperiodic_data/`.<br> `quasiperiodic_data/nodedata.dat` stores the node indices and their coordinates.<br> `quasiperiodic_data/edgedata.dat` stores the list of edges as tuples of node indices.<br> `quasiperiodic_data/order_of_8vtx.dat` and `quasiperiodic_data/regions/` store special symmetric nodes and regions like membranes and empires.<b>Monte Carlo configurations of dimer coverings</b> are provided in `data/`.<br> `data/configs/` stores the raw samples of dimer coverings in binary format.<br> `data/EandV/` stores extracted V and E configurations in `.npy` files.<b>Examples of RSMI-NE optimised coarse graining filters</b> are provided in `paper_data/`.<b>Software toolbox</b>This repository also includes software to prepare the data in a format that can be used by [`rsmine`](https://github.com/RSMI-NE/RSMI-NE).<b>Data preparation</b><br> `data_generation.ipynb` processes the raw sample datasets in `data/` to extract the V and E configurations for `rsmine` and write them into `.npy` files stored in `data/EandV/`. Each choice of coarse graining block and environment is labelled by a unique "case" number. <br> E.g. `'case_no': 51` corresponds to the four-fold deflation of the central 8-vertex using the canonical 8-star tile of the AB quasicrystal.<br> `special_vertices.ipynb` contains the details of how to construct these canonical tiles for each neighbourhood and scale transformation.`ab_rsmi_regions.ipynb` visualises V and E regions on the Ammann-Beenker tiling by taking the 'case_no', and neighbourhood index, i.e. the index of the central node for the coarse grained block V.<b>Analysis of RSMI-NE results</b> `clocks.ipynb` contains code that identifies coarse-grained clock variables.<br>
DOI: 10.25582/data.2023-10.2917516/2468174
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917517/2468175
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917518/2468176
title: Data for EMSL Project 51735 from October 2023
DOI: 10.15468/dl.skq7qx
title: Occurrence Download

description: A dataset containing 76 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-67.36138 17.79729,-65.44929 17.79729,-65.44929 18.56293,-67.36138 18.56293,-67.36138 17.79729))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Eleutherodactylus cooki Grant, 1932"
 ]
}

 The dataset includes 76 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019228-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-10.2917519/2468177
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917520/2468178
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917521/2468179
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917522/2468180
title: Data for EMSL Project 51735 from October 2023
DOI: 10.15468/dl.6pmm42
title: Occurrence Download

description: A dataset containing 1516 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Ennearthron cornutum (Gyllenhal, 1827)",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 1516 records from 97 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019229-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-10.2917524/2468182
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917525/2468183
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917526/2468184
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917527/2468185
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917528/2468186
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917529/2468187
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917530/2468188
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917531/2468189
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917532/2468190
title: Data for EMSL Project 51735 from October 2023
DOI: 10.15468/dl.kab5au
title: Occurrence Download

description: A dataset containing 11378150 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amphibia"
 ]
}

 The dataset includes 11378150 records from 7922 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019214-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pxp3j8
title: Occurrence Download

description: A dataset containing 4449 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sorex caecutiens Laxmann, 1788"
 ]
}

 The dataset includes 4449 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0349114-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fnbr3n
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Allobates goianus (Bokermann, 1975))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059299-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-47185
title: Redemption tidings, vol. 22, nos. 1-26, 4 Jan. - 20 Dec. 1946

description: [description english/roman)] Issued fortnightly (every two weeks). "A full gospel magazine for all believers" -- subtitle. Includes Tidings from our missionaries in each issue (4 Jan. - 20 Dec. 1946). Bound with vol. 23.
DOI: 10.15468/dl.4qjskh
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tadarida lobata (Thomas, 1891)"
 ]
}

 The dataset includes 56 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0349097-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g4x5xc
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Royal penguin Eudyptes schlegeli census, Macquarie Island, 1984"
 ]
}

 The dataset includes 57 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0158878-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-47341
title: Redemption tidings, vol. 22, nos. 1-26, 4 Jan. - 20 Dec. 1946

description: [description english/roman)] Issued fortnightly (every two weeks). "A full gospel magazine for all believers" -- subtitle. Includes Tidings from our missionaries in each issue (4 Jan. - 20 Dec. 1946). Bound with vol. 23.
DOI: 10.15468/dl.pz3duu
title: Occurrence Download

description: A dataset containing 444 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sylvirana maosonensis (Bourret, 1937))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 444 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059293-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-47163
title: Redemption tidings, vol. 22, nos. 1-26, 4 Jan. - 20 Dec. 1946

description: [description english/roman)] Issued fortnightly (every two weeks). "A full gospel magazine for all believers" -- subtitle. Includes Tidings from our missionaries in each issue (4 Jan. - 20 Dec. 1946). Bound with vol. 23.
DOI: 10.15468/dl.wvew7n
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Epomophorus grandis (Sanborn, 1950)"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0349115-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.655k2y
title: Occurrence Download

description: A dataset containing 158 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ctenomys torquatus Lichtenstein, 1830"
 ]
}

 The dataset includes 158 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0352637-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bczjv3
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Asarum yaeyamense Hatus."
 ]
}

 The dataset includes 57 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059305-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ndnw6a
title: Occurrence Download

description: A dataset containing 13148 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Stipa pennata L.)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 13148 records from 139 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0254172-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-47273
title: Redemption tidings, vol. 22, nos. 1-26, 4 Jan. - 20 Dec. 1946

description: [description english/roman)] Issued fortnightly (every two weeks). "A full gospel magazine for all believers" -- subtitle. Includes Tidings from our missionaries in each issue (4 Jan. - 20 Dec. 1946). Bound with vol. 23.
DOI: 10.15468/dl.5b2gr3
title: Occurrence Download

description: A dataset containing 101 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hydrophis inornatus (Gray, 1849)"
 ]
}

 The dataset includes 101 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0139302-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.