Comprehensive dataset of 28 Natural history museums in Switzerland as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Comprehensive dataset of 1 Natural history museums in Teruel, Spain as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

This database contains specimens of vertebrates from the Gothenburg Natural History Museum, collected from the early 1800's to present. New specimens are added continuously. Most of the birds and mammals are preserved as skins, while most fishes, amphibians and reptiles are preserved in alcohol. There are however, both wet and dry preserved specimens of a wide array of taxa from the entire world. The collections also include eggs and skeletons. The collection contains in total slightly less than 63 000 specimens, of which about half are birds. Fishes, amphibians & reptiles, and mammals are represented by roughly 10 000 specimens each. The bone collection contains about 18 000 skeletons, and the egg collection approximately 10 000 broods of which more than 1000 includes egg from common cuckoo, Cuculus canorus.

An SQLite database file created from data downloaded from http://portal.idigbio.org/. This file is for use in the Introduction to Structured Query Language (SQL) and R Lessons in the Data Carpentry for Natural History Collections material.

Dataset description: "common rodents in the continental United States from major institutions that publish extended information about their specimens"

This project was undertaken to establish a computerized skeletal database composed of recent forensic cases to represent the present ethnic diversity and demographic structure of the United States population. The intent was to accumulate a forensic skeletal sample large and diverse enough to reflect different socioeconomic groups of the general population from different geographical regions of the country in order to enable researchers to revise the standards being used for forensic skeletal identification. The database is composed of eight data files, comprising four categories. The primary "biographical" or "identification" files (Part 1, Demographic Data, and Part 2, Geographic and Death Data) comprise the first category of information and pertain to the positive identification of each of the 1,514 data records in the database. Information in Part 1 includes sex, ethnic group affiliation, birth date, age at death, height (living and cadaver), and weight (living and cadaver). Variables in Part 2 pertain to the nature of the remains, means and sources of identification, city and state/country born, occupation, date missing/last seen, date of discovery, date of death, time since death, cause of death, manner of death, deposit/exposure of body, area found, city, county, and state/country found, handedness, and blood type. The Medical History File (Part 3) represents the second category of information and contains data on the documented medical history of the individual. Variables in Part 3 include general comments on medical history as well as comments on congenital malformations, dental notes, bone lesions, perimortem trauma, and other comments. The third category consists of an inventory file (Part 4, Skeletal Inventory Data) in which data pertaining to the specific contents of the database are maintained. This includes the inventory of skeletal material by element and side (left and right), indicating the condition of the bone as either partial or complete. The variables in Part 4 provide a skeletal inventory of the cranium, mandible, dentition, and postcranium elements and identify the element as complete, fragmentary, or absent. If absent, four categories record why it is missing. The last part of the database is composed of three skeletal data files, covering quantitative observations of age-related changes in the skeleton (Part 5), cranial measurements (Part 6), and postcranial measurements (Part 7). Variables in Part 5 provide assessments of epiphyseal closure and cranial suture closure (left and right), rib end changes (left and right), Todd Pubic Symphysis, Suchey-Brooks Pubic Symphysis, McKern & Steward--Phases I, II, and III, Gilbert & McKern--Phases I, II, and III, auricular surface, and dorsal pubic pitting (all for left and right). Variables in Part 6 include cranial measurements (length, breadth, height) and mandibular measurements (height, thickness, diameter, breadth, length, and angle) of various skeletal elements. Part 7 provides postcranial measurements (length, diameter, breadth, circumference, and left and right, where appropriate) of the clavicle, scapula, humerus, radius, ulna, scarum, innominate, femur, tibia, fibula, and calcaneus. A small file of noted problems for a few cases is also included (Part 8).

Natural history specimen data linked to collectors and determiners held within, "A global database for the distributions of crop wild relatives". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/07044577-bd82-4089-9f3a-f4a9d2170b2e using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/07044577-bd82-4089-9f3a-f4a9d2170b2e. Formatted as a Frictionless Data package.

Comprehensive dataset of 3 Natural history museums in Kyoto, Japan as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

The Collection includes the Fish, Herpetology, Bird and Mammal Collections of the Natural History Museum of Los Angeles County. They are worldwide collections with greatest concentration in North and South America, Africa, the Pacific Ocean, and the Antarctic.

Provide the English book catalog data of the National Museum of Marine Science and Technology.

This database contains information on the so far registered specimens in the Herpetology Collection of the Swedish Museum of Natural History. The database is managed with The Artedian collection management system in MS-Access. The main tables describe collecting events and collection objects which are related on a one to many relationships. The database is Darwin Core compatible but uses alternative table names and includes also loan routines, document management and other components of collection management. Principal items managed are objects (catalog number, identification, number of specimens, sex size, location in collection, collection space, preservative, identifier, etc.); localities (collecting events with date, collector, geographic information including co-ordinates, and more), collecting site habitat; loans (with extensive metadata), accession information (date of accession, donors, acquisition conditions etc., specimen preservation progress). DNA samples are managed as subsamples of objects. Specimen and collecting site images are managed with extensive metadata. The database has a web presentation at http://artedi.nrm.se/nrmfish.

Database contains specimen records from the Mollusca collection of the Naturalis Biodiversity Center (Leiden, Netherlands). The zoological specimens come from the National Museum of Natural History (RMNH; Rijksmuseum voor Natuurlijke Historie), later National Museum of Natural History, Naturalis in Leiden and the Zoological Museum Amsterdam (ZMA) and new acquisitions. This database replaces the dataset "Zoological Museum Amsterdam, University of Amsterdam (NL) – Mollusca_Conidae", "Zoological Museum Amsterdam, University of Amsterdam (NL) – Mollusca_Netherlands", and "Zoological Museum Amsterdam, University of Amsterdam (NL) – Mollusca_Pectinoidea" which were hosted earlier on the GBIF dataportal and contains many new and updated records, especially from the RMNH collection. This dataset is an abstract of the Naturalis production database (BRD) of 2012-12-12. The datasets Zoological Museum Amsterdam, University of Amsterdam (NL) – Mollusca_Types, and Naturalis National Natural History Museum (NL) – Mollusca fossils, are still separately hosted at GBIF, and are not included in this dataset. The old registration numbers of the former institutions (RMNH, ZMA) are also mentioned in the dataset. The Naturalis BC collection contains over 42.000 species of Recent Mollusca. Locality data have only been added in part to this molluscan dataset. Many identifications are original and can be as old as over a century. Many species level names were recently (2011-2012) updated with the help of literature and web based taxonomic databases containing synonymies.

Comprehensive dataset of 1 Natural history museums in Metropolitan City of Venice, Italy as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Comprehensive dataset of 187 History museums in New York, United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

This dataset is comprised of a collection of example DMPs from a wide array of fields; obtained from a number of different sources outlined below. Data included/extracted from the examples include the discipline and field of study, author, institutional affiliation and funding information, location, date created, title, research and data-type, description of project, link to the DMP, and where possible external links to related publications or grant pages. This CSV document serves as the content for a McMaster Data Management Plan (DMP) Database as part of the Research Data Management (RDM) Services website, located at https://u.mcmaster.ca/dmps. Other universities and organizations are encouraged to link to the DMP Database or use this dataset as the content for their own DMP Database. This dataset will be updated regularly to include new additions and will be versioned as such. We are gathering submissions at https://u.mcmaster.ca/submit-a-dmp to continue to expand the collection.

We present TRAD: Thermal traits of anurans database for the Southeastern United States, a database of thermal trait values related to physiological (critical thermal minima and maxima, preferred temperature, mass) and behavioral thermoregulation (activity period, retreat emergence temperature, basking temperature, foraging temperature minimum and maximum) for 40 anuran species found within the southeastern United States. Using a species-centric approach, we collated this database by first identifying trait values from large reservoirs of amphibian ecology and natural history and then searching the literature using primarily Web of Science to thoroughly identify available thermal trait data. The TRAD database provides a data reservoir for thermal trait data that extends the ecological trait data stored in ATraiU (Moore et al., 2020). In total, the TRAD database contains 858 reported trait values from 267 peer reviewed papers, dissertations, thesises, or rarely guides. TRAD has a 43 ...

Comprehensive dataset of 20 Local history museums in Washington, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Our dataset collects comprehensive life-history, ecological, and biogeographic data on global snakes.

Milky seas are a rare form of nocturnal oceanic bioluminescence distinguished by a steady, non-flashing, white/gray/green glow. Scientific inquiry into milky seas has, for centuries, been held back by the remote ephemeral nature of this phenomenon. Combining centuries of eyewitness accounts with modern satellite observations, we present a curated list of milky sea observations since 1600. This database greatly expands the ability to study when and where milky seas occur, as well as the commonly observed features of a milky sea., , , # A curated database of milky sea observations from 1600 to present

https://doi.org/10.5061/dryad.0gb5mkmbc

Description of the data and file structure

The data in this archive was collected for the paper "From Sailors to Satellites: A Curated Database of Milky Seas Since 1600". By combining centuries of eyewitness accounts with satellite observations for the first time, we hope to expand the ability to study and understand milky seas.

Files and variables

File: Milky_Sea_Database.pdf

Description:Â A human readable PDF of every eyewitness account and satellite observation within the database. This file contains the date, location, description, and who reported the account for every milky sea observation. This is Supplemental 1 for the paper.

File: Milky_Sea_Database.tsv

Description: A machine-readable tab-separated values file containing detailed information on every milky sea observation within the database. ...,

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on June 9, 2025. A database which retains extensive clinical information about study subjects recruited by the Alzheimer's Disease Research Center Clinical Core, as well as other individuals with neurological diseases. In addition to clinical information, the database has basic demographics, medical history (including risk factors such as smoking), and a detailed family history from all subjects. Some entries have neuropsychological measures. Users can access a Summary Database which contains the most commonly requested variables. A data dictionary describing the variables in the Summary Database is available.

China's National Climate Policy Database (V1) collects all national-level policies addressing climate change issued by the Chinese government between 2016 and 2022. In addition to tracking the policies issued across different sectors, the database also maps policy instruments used and measures the intensity of each policy.