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158 results for “historical records”
Linked collectors and determiners for: Miscellaneous Historical Bee Records from Vermont, USA.
Natural history specimen data linked to collectors and determiners held within, "Miscellaneous Historical Bee Records from Vermont, USA". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/c7894815-388a-4fae-82b6-d04e5462c6e5">https://bionomia.net/dataset/c7894815-388a-4fae-82b6-d04e5462c6e5</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/c7894815-388a-4fae-82b6-d04e5462c6e5">https://gbif.org/dataset/c7894815-388a-4fae-82b6-d04e5462c6e5</a>. Formatted as a Frictionless Data package.
Digitisation of Weather Records of Seungjeongwon Ilgi: A Historical Weather Dynamics Dataset of the Korean Peninsula (1623-1910)
<p><strong>Introduction</strong></p> <p>This study has exploited the daily weather records of Seungjeongwon Ilgi from the NIKH database (http://sjw.history.go.kr/main.do). Seungjeongwon Ilgi is a daily record of the Seungjeongwon, the Royal Secretariat of the Joseon Dynasty of Korea. These diaries span from 1623 to 1910 and generally involve daily weather records in the entry header. Their observational site would be located in Seoul (N37°35′, E126°59′). We have exploited the weather records from the NIKH database and classified the daily weather using text mining method. We have also converted the report dates from the traditional lunisolar calendar to the Gregorian calendar, to better contextualise our data into the contemporary daily measurements.</p> <p><strong>Data</strong></p> <p>We provide different formats (csv, xlsx, json) to facilitate the usage of data. The main contents of data are listed as below.</p> <ul> <li><strong>ID</strong>: The unique identifier of a specific record in the metadata, which can also serve as the identifier to merge with external data in the NIKH digital database.</li> <li><strong>Traditional calendar</strong>: The original lunar dates in the NIKH digital database, which are listed in data format "YYYY-MM-DD". More specifically, "L0" implies the leap year and "L1" implies the common year.</li> <li><strong>Leap</strong>: The identifier of a leap year.</li> <li><strong>Gregorian calendar</strong>: The Gregorian calendar date that converted by the traditional calendar date.</li> <li><strong>Weather Text</strong>: The text that describe the weather conditions. Specifically, multiple weather descriptions of the same day have been put together.</li> <li><strong>Flag</strong>: The computed value that indicates different combinations of weather conditions.</li> <li><strong>Volume</strong>: The volume of text in the original record.</li> <li><strong>Herbal Volume</strong>: The volume of text in the herbal record.</li> <li><strong>Sunny</strong>: A dummy variable that represents whether the weather description contains the expression of sunny.</li> <li><strong>Cloudy</strong>: A dummy variable that represents whether the weather description contains the expression of cloudy.</li> <li><strong>Rainy</strong>: A dummy variable that represents whether the weather description contains the expression of rainy.</li> <li><strong>Snow</strong>: A dummy variable that represents whether the weather description contains the expression of snow.</li> <li><strong>Wind</strong>: A dummy variable that represents whether the weather description contains the expression of wind.</li> </ul> <p><strong>Import Data</strong></p> <pre><code class="language-python"># Python # CSV file import pandas as pd data=pd.read_csv('~/SJWilgi_Seoul_Weather_YR1623_1910.csv',encoding="utf-8") # JSON file data=pd.read_json('~/SJWilgi_Seoul_Weather_YR1623_1910.json',encoding="utf-8") # Excel file data=pd.read_excel('~/SJWilgi_Seoul_Weather_YR1623_1910.xlsx') # Excel file</code></pre> <pre><code class="language-bash"># R # CSV file library(readr) data<- read_csv("~/SJWilgi_Seoul_Weather_YR1623_1910.csv") # Excel file library(readxl) data <- read_excel("~/SJWilgi_Seoul_Weather_YR1623_1910.xlsx")</code></pre> <p> </p>
A new approach to geostatistical synthesis of historical records reveals capuchin spatial responses to climate and demographic change
Open the record for dataset details and reuse information.
Opening the museum's vault: Historical field records preserve reliable ecological data
<p><span>Museum specimens have long served as foundational data sources for ecological, evolutionary, and environmental research. Continued reimagining of museum collections is now also generating new types of data associated with, but beyond physical specimens, a concept known as "extended specimens". Field notes penned by generations of naturalists contain first-hand ecological observations associated with museum collections and comprise a form of extended specimens with the potential to provide novel ecological data spanning broad geographic and temporal scales. Despite their data-yielding potential, however, field notes remain underutilized in research due to their heterogeneous, unstandardized, and qualitative nature. We introduce an approach for transforming descriptive ecological notes into quantitative data suitable for statistical analysis. Tests with simulated and real-world published data show that field notes and our transformation approach retain reliable quantitative ecological information under a range of sample sizes and evolutionary scenarios. Unlocking the wealth of data contained within field records could facilitate investigations into the ecology of clades whose diversity, distribution, or other demographic features present challenges to traditional ecological studies, improve our understanding of long-term environmental and evolutionary change, and enhance predictions of future change.</span></p>
Figure 7 in The death adder Acanthophis antarcticus (Shaw & Nodder, 1802) in Victoria: historical records and contemporary uncertainty
Figure 7. First edition of the Dangerous Snakes of Victoria poster, produced in 1877.
Figure 4 in The death adder Acanthophis antarcticus (Shaw & Nodder, 1802) in Victoria: historical records and contemporary uncertainty
Figure 4. Dorsal perspective of the head and neck (including neck wound) of specimen D4349.
Data from: Historical field records reveal habitat as an ecological correlate of locomotor phenotypic diversity in the radiation of Neotropical Geophagini fishes
<p>Phenotypic macroevolutionary studies provide insight into how ecological processes shape biodiversity. However, the complexity of phenotype-ecology relationships underscores the importance of also validating phenotype-based ecological inference with direct evidence of resource use. Unfortunately, macroevolutionary scale ecological studies are often hindered by the challenges of acquiring taxonomically and spatially representative ecological data for large and widely distributed clades. The South American cichlid fish tribe Geophagini represents a continentally distributed radiation whose early locomotor morphological divergence suggests habitat as one ecological correlate of diversification, but an association between locomotor traits and habitat preference has not been corroborated. Field notes accumulated over decades of collecting across South America provide first-hand environmental records that can be mined for habitat data in support of macroevolutionary ecological research. In this study, we applied a newly developed method to transform descriptive field note information into quantitative habitat data, and used it to assess habitat preference and its relationship to locomotor morphology in Geophagini. Field note-derived data shed light on geophagine habitat use patterns and reinforced habitat as an ecological correlate of locomotor morphological diversity. Our work emphasizes the rich data potential of museum collections, including often overlooked material such as field notes, for evolutionary and ecological research.</p>
Geo-Archaeology and Historical Nile Records to Understand Predynastic Settlement Patterns (First Nile Cataract, Egypt)
<p>This upload contains the relevant shapefiles and images related to our article "Combining Geo-Archaeology and Historical Nile Records to Understand Predynastic Settlement Patterns in the Region of the Nile's First Cataract, Egypt" in <em>Old World</em>. </p> <p>The BORDERSCAPE Project Old World Repository: Description of Contents</p> <p>Data are stored in a folder named<br>"OLD_WORLD_borderscape_raw_data"</p> <p>Singular files are:<br>"README.txt": A document describing the contents of this repository.<br>"93m_floodplain.tif": A GEOtif showing flooded areas at 93m ASL.<br>"93.3m_floodplain.tif": A GEOtif showing flooded areas at 93.3m ASL.<br>"94.5m_floodplain.tif": A GEOtif showing flooded areas at 94.5m ASL.<br>"flooding_622to1911.tif": A GEOtif showing flooded areas according to flooding measurments recorded from AD 622 to 1911.</p> <p>ZIP archives are:<br>"OLD_WORLD_borderscape_archaeological_sites.zip": A zip folder of a shapefile showing the archaeological sites.<br>"drillings.zip": A zip folder of a shapefile showing drillings in Nag el-Qarmila.<br>"geology_NQ.zip": A zip folder of a shapefile showing geology polygons in Nag el-Qarmila.<br>"WK14_cemetery.zip": A zip folder of a shapefile showing the area of cemetery WK14 in Nag el-Qarmila.<br>"WK15_settlement.zip": A zip folder of three shapefile showing the settlement WK15, area A and area B in Nag el-Qarmila.<br>"WK22_storage_area.zip": A zip folder of a shapefile showing storage area WK22 in Nag el-Qarmila.</p>
Historical Pollen Records from `The Productivity-Stability Trade-off in Global Food Systems'
<p>Historical pollen records from Europe used to detect evidence of agricultural development on plant pollen dynamics. </p>
MAP 195 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
MAP 195. Distribution of Acontias kgalagadi in Angola.
MAP 237 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
MAP 237. Distribution of Typhlacontias rudebecki in Angola.
MAP 181 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
MAP 181. Distribution of Chamaesaura anguina oligopholis in Angola.
MAP 125 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
MAP 125. Distribution of Afrogecko ansorgii in Angola.
MAP 43 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
MAP 43. Distribution of Hyperolius gularis in Angola.
MAP 4 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
MAP 4. Distribution of Xenopus muelleri in Angola.
MAP 161 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
MAP 161. Distribution of Monopeltis perplexus in Angola.
FIGURE 15 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
FIGURE 15. Namibian Savanna Woodlands near Virei, Namibe Province (Photo by Luis Ceríaco).
MAP 368 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
MAP 368. Distribution of Thrasops flavigularis in Angola.
MAP 334 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
MAP 334. Distribution of Naja mossambica in Angola.
MAP 309 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
MAP 309. Distribution of Psammophis jallae in Angola.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.