A structure database of natural products in SDF format was created from the LOTUS database version 9 .

This database is intended to facilitate the dereplication of natural products.

The LOTUS database was described in this publication (free download).

File 220916_frozen_metadata.csv was downloaded from the LOTUS database version 9 and the SMILES chains of the compounds were collected.

The SMILES chains were translated to 2D chemical structures using python scripts relying on the RDKit library.

Each compound was associated to predicted 13C NMR chemical shifts by means of an already reported procedure (free download).

Each compound was also supplemented with metadata from file 220916_frozen_metadata.csv .

Archive file acd_lotusv9.sdf.zip contains acd_lotusv9.sdf with 218,478 compound descriptions inside.

Archive file acd_lotusv9.NMRUDB.zip is a compressed version of acd_lotusv9.NMRUDB, itself created by importation of file acd_lotusv9.sdf in an ACD/Labs database file (new with version 0.0.4).

The description of the first compound was copied in file firstmolv9.sdf and is provided for a quick inspection of the database content.

The title line in firstmolv9.sdf is Q43656_2, meaning that more data about this compound may be found by searching in Wikidata for Q43656 and that the initial data was given by line 2 in file 220916_frozen_metadata.csv .

Files acd_lotusv9.sdf acd_lotusv9.NMRUDB contain biological taxonomy data from file 220916_frozen_metadata.csv that were not exploited in acd_lotusv7. Sub-files dealing with a particular taxon can be easily produced now.

Chemical shift calculations for 13C nuclei using the HOSE code approach are available here for the compounds in acd_lotusv7.

This is a dataset of Japanese semi-natural grassland flora, compiled from previously published studies. This database is useful as a basis for the analysis of changes in the flora of Japanese grasslands as well as for future monitoring. This dataset is published as a data paper in Ecological Research (see https://doi.org/10.1111/1440-1703.12388).

Photographs and other visual media provide valuable pre- and post-event data for natural hazards. Research, mitigation, and forecasting rely on visual data for post-analysis, inundation mapping and historic records. Instrumental data only reveal a portion of the whole story; photographs explicitly illustrate the physical and societal impacts from an event. This resource provides high-resolution geologic and damage photographs from natural hazards events, including earthquakes, tsunamis, slides, volcanic eruptions and geologic movement (faults, creep, subsidence and flows). The earliest images date back to 1886. Each event also links to NCEI's Global Historical hazards databases, which provide details for these events.

Based on the art. 6 of Regional Law 9/2005 concerning the protection of natural stable meadows, the regional administration codifies the natural stable meadows of the plains in a database, reporting the biological and territorial information, as well as the cadastral data referring to the individual stable meadows. For the purposes of Regional Law 9/2005, stable natural meadows mean the herbaceous formations attributable to the types identified in Annex A of the law itself. In the context of stable natural meadows, as defined by art. 2 of Regional Law 9/2005, the following are included: a) herbaceous formations that grow on land that has not undergone clearing by plowing or harrowing and are maintained only through mowing and possible fertilization; b) herbaceous formations which, although derived from previous cultivation, have the floristic composition of the types listed in Annex A, points A) and C), to this law; c) the practical formations deriving from compensatory interventions and reductions in pristine condition. The stable meadows included in the database may or may not fall within the scope defined by art. 3 of LR 9/2005: meadows effectively protected by LR 9/2005 and which fall within the scope defined by art. 3 of LR 9/2005, constituting the inventory of stable meadows, are characterized by having the field of the TutelaLR database set to "True" (value 1) and are represented in the map in red. The inventory of stable meadows therefore represents a subset of the database.

The NYS Department of Environmental Conservation (DEC) collects and maintains several datasets on the locations, distribution and status of species of plants and animals. Information on distribution by county from the following three databases was extracted and compiled into this dataset. First, the New York Natural Heritage Program biodiversity database: Rare animals, rare plants, and significant natural communities. Significant natural communities are rare or high-quality wetlands, forests, grasslands, ponds, streams, and other types of habitats. Next, the 2nd NYS Breeding Bird Atlas Project database: Birds documented as breeding during the atlas project from 2000-2005. And last, DEC’s NYS Reptile and Amphibian Database: Reptiles and amphibians; most records are from the NYS Amphibian & Reptile Atlas Project (Herp Atlas) from 1990-1999.

The River Macrophytes Database (RMD) is a Microsoft Access database constructed to house data on the plant communities of rivers in Great Britain and Northern Ireland. It includes data from over 7000 survey sites and is the most comprehensive database of its kind. Data have been collected from all over the UK between 1977 and the present day, following the methods of Holmes et al. (1999). The data held in the RMD are the result of collaborative work across all four statutory nature conservation bodies: Scottish Natural Heritage (SNH), Natural England (NE), Natural Resources Wales (NRW, formerly CCW) and the Northern Ireland Environment Agency (NIEA). The River Macrophytes Database can be downloaded from the JNCC website: https://hub.jncc.gov.uk/assets/0a26368d-400c-44e1-beaf-d4b89b7badcd#extent-detail

Analysis of ‘Natural Diversity Database’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/69905ca3-2fa0-4573-9b82-2693264477e6 on 27 January 2022.

--- Dataset description provided by original source is as follows ---

--- Original source retains full ownership of the source dataset ---

This collection provides international data on natural gas. Data organized by country. Users of the EIA API are required to obtain an API Key via this registration form: http://www.eia.gov/beta/api/register.cfm

This is a subset of the data held in the SNH plant spreadsheet. All records for the West Highland area were extracted as part of the NBN trial in SNH. Original spreadsheet supplied by John McKinnell end of October 2000. This extract was regarded as a temporary step and so the extraction has not been completely validated and this should be borne in mind when using the data. The original data do not represent the definitive view of rare plant distributions in Scotland, according to SNH and do include historical data as well as more recent records from SNH survey. Note that there will be overlap with the data held in the threatened plant database.

This dataset provides values for TOTAL NATURAL RESOURCES RENTS PERCENT OF GDP WB DATA.HTML reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Additional file 9. List of species name entries with modified scientific names, collected from COCONUT and NPASS databases.

Marine and Freshwater Fish specimens deposited in Osaka Museum of Natural History, Part 1: Specimens collected from Kansai District.

Vietnam Natural Increase Rate: Urban data was reported at 8.000 ‰ in 2017. This records a decrease from the previous number of 9.300 ‰ for 2016. Vietnam Natural Increase Rate: Urban data is updated yearly, averaging 10.700 ‰ from Dec 2001 (Median) to 2017, with 17 observations. The data reached an all-time high of 12.400 ‰ in 2002 and a record low of 8.000 ‰ in 2017. Vietnam Natural Increase Rate: Urban data remains active status in CEIC and is reported by General Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.G058: Vital Statistics.

This repository duplicates the entire Sleep and Dream Database (SDDb), a public collection of dream reports. The purpose of this repository is (a) to provide a convenient access point for the dream reports, and (b) to provide a system of SDDb version control so that analysis of these dream reports can be replicated even when the official SDDb undergoes modifications. It contains all SDDb dream reports as of the date of download (see "Dates" section of this repository). No additional processing was applied.

Natural history specimen data linked to collectors and determiners held within, "tan-database". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/e6751193-fafa-4aae-a0c2-f2f1a93172ca using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/e6751193-fafa-4aae-a0c2-f2f1a93172ca. Formatted as a Frictionless Data package.

This dictionary covers the three kingdoms: Animal, Vegetal, Mineral. It contains 50,000 species with numerous synonyms in French, English and Latin and many breeds and varieties. Minerals are given with their chemical formula. About 7,900 definitions in French are included.This dictionary gathers many disciplines and topics such as: Mammals, Fishes, Birds, Insects, Reptiles, Shellfishes, Trees, Plants, Flowers, Fruits, Vegetables, Minerals, Rocks, Gems, etc. It also includes synonyms and linguistic variants.Languages : French - English (GB, US) - LatinNumber of entries: 133,500 Number of terms per language: between -20% and -25% approx. with respect to the number of entries (i.e. ca. 50,000 terms)Disciplines: about 105Format: .DBF files, sorted alphabetically in French and EnglishA viewer is also available upon demand for an additional cost of 2676 euros. This software enables a spontaneous search French => English and English => French in the database according to different criteria:- by beginning of term, - by included word,- by discipline,- by class,- by kingdom,- through a free search: French, English, Latin words and synonyms in the 3 languages, chemical formula, i.e. 435,000 access points. For each term obtained, the database corpus is instantly displayed with the total of terminological data available for that term.Viewing format: .FIC (Windev)Please note that the prices indicated here are dependent from the number of entries available which is growing constantly. Please contact us for further details.

This database provides species lists, general descriptions of the species, their distributions, and their abundances. It can search through any number of nature reserves, preserves, state parks and state beaches for plant, mammal, bird, reptile, fish and amphibian data. It can also search by species or larger taxonomic category.

The collection serves as a major research resource for the national and international scientific communities and contains unique material of special historical and ecological significance. The collection database is accessible online on this website and through HerpNET. During the 1970’s, it was recognized as one of the five largest and most representative collections of amphibians and reptiles in the United States (Wake et al. 1975). Currently it ranks among the top six herpetological collections in the United States and one of the twenty largest in the World. Collection use has been growing steadily. Loan requests, visits by researchers, and information requests are at high levels. Zoologists, paleontologists, wildlife disease researchers and other disciplines utilize the collections. Regular collection users include professional scientists, agency personnel and students (undergraduate and graduate).

Comprehensive dataset of 1 Natural rock climbing areas in Turkey as of August, 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.