Description from Zenodo:

"SPICE (Small-Molecule/Protein Interaction Chemical Energies) is a collection of quantum mechanical data for training potential functions. The emphasis is particularly on simulating drug-like small molecules interacting with proteins. It is described in this publication:

Peter Eastman, Pavan Kumar Behara, David L. Dotson, Raimondas Galvelis, John E. Herr, Josh T. Horton, Yuezhi Mao, John D. Chodera, Benjamin P. Pritchard, Yuanqing Wang, Gianni De Fabritiis, and Thomas E. Markland. "SPICE, A Dataset of Drug-like Molecules and Peptides for Training Machine Learning Potentials." https://doi.org/10.48550/arXiv.2209.10702 (2022).

Version 2 is a major update that roughly doubles the total amount of data. Additions since version 1 include:

Over 13,000 new PubChem molecules (50 conformations each)
Over 194,000 conformations for dimers consisting of an amino acid and a ligand
1000 water clusters
1397 PubChem molecules solvated with a shell of water molecules
Two new elements (boron and silicon)
2.0.1 is a minor update. It removes a small number of conformations in which bonds broke during conformation generation, leading to molecules that did not match the SMILES strings."

See Zenodo for more details

This data set includes the complete set of DAWN SPICE data files (``kernel files''), which can be accessed using SPICE software. The SPICE data contain geometric and other ancillary information needed to recover the full value of science instrument data. In particular SPICE kernels provide spacecraft and planetary ephemerides, instrument mounting alignments, spacecraft orientation, and data needed for relevant time conversions.

Data issued from SPICE instrument on Solar Orbiter: data release 5.0

This data set includes the complete set of NEAR SPICE data files (``kernel files'), which can be accessed using SPICE software. The SPICE data contain geometric and other ancillary information needed to recover the full value of science instrument data. In particular SPICE kernels provide spacecraft and planetary ephemerides, instrument mounting alignments, spacecraft orientation, and data needed for relevant time conversions.

The additional data for research "Spices and Languages: Exploring the Historical Linguistics of Maluku, Indonesia"

This dataset presents a comprehensive analysis of global spice consumption, compiled using FAOSTAT data. It estimates spice consumption by applying the formula:

Consumption

Production + Import − Export Consumption=Production+Import−Export This approach ensures an accurate estimation of actual domestic spice use by accounting for trade balances across different countries.

🌿 Spices Included The dataset covers nine major spices widely consumed and traded globally:

1️⃣ Anise, Badian, Coriander, Cumin, Caraway, Fennel & Juniper Berries 2️⃣ Chillies & Peppers, Dry (Capsicum spp., Pimenta spp.) 3️⃣ Chillies & Peppers, Green (Capsicum spp. and Pimenta spp.) 4️⃣ Cinnamon & Cinnamon-tree Flowers 5️⃣ Cloves (Whole Stems) 6️⃣ Ginger (Raw) 7️⃣ Nutmeg, Mace & Cardamoms 8️⃣ Pepper (Piper spp.) 9️⃣ Vanilla (Raw)

Each spice is tracked across different countries to analyze production trends, trade flow, and consumption patterns.

📊 Data Features The dataset includes the following key attributes:

🔹 Country – The country where production and trade data is recorded. 🔹 Year – The year of data collection (e.g., 2000–2023). 🔹 Production (tons) – The total amount of spice produced within a country. 🔹 Import (tons) – The quantity imported into the country. 🔹 Export (tons) – The quantity exported from the country. 🔹 Estimated Consumption (tons) – The final calculated domestic consumption.

🌎 Use Cases This dataset is valuable for: 📌 Market Analysis – Understanding global trends in spice consumption. 📌 Trade & Economics – Analyzing import-export dynamics of spices. 📌 Food Industry – Identifying demand and supply chains for major spices. 📌 Forecasting & Predictions – Using statistical models (e.g., ARIMA, Holt-Winters) to predict future spice demand.

📥 Data Source ✔ Source: FAOSTAT (Food and Agriculture Organization of the United Nations) ✔ Data Processing: The dataset was cleaned and refined by adjusting for missing values and ensuring consistency in trade flow calculations.

🚀 This dataset is perfect for global food industry research, economic trade studies, and market forecasting for spices! Let me know if you'd like any modifications! 🌶️📊

This data set includes the complete set of MESSENGER SPICE data files (''kernel files''), which can be accessed using SPICE software. The SPICE data contains geometric and other ancillary information needed to recover the full value of science instrument data. In particular SPICE kernels provide spacecraft and planetary ephemerides, instrument mounting alignments, spacecraft orientation, spacecraft sequences of events, and data needed for relevant time conversions.

This data set includes the complete set of DAWN SPICE data files (``kernel files''), which can be accessed using SPICE software. The SPICE data contain geometric and other ancillary information needed to recover the full value of science instrument data. In particular SPICE kernels provide spacecraft and planetary ephemerides, instrument mounting alignments, spacecraft orientation, and data needed for relevant time conversions.

The dataset contains year-wise historically compiled data on the area and production of spices in India. The different types of spices covered in the dataset include vanilla, ajwan, black pepper, cardamom, cinnamon/tejpata, clove, coriander, cumin, dill/poppy/celery, fennel, fenugreek, garlic, ginger, mint (mentha), nutmeg, red chillies (dried), saffron/vanilla, tamarind, turmeric, red chillies, chillies, pepper, saffron, chilies, etc.

This data set includes the complete set of JUNO SPICE data files (``kernel files''), which can be accessed using SPICE software. The SPICE data contain geometric and other ancillary information needed to recover the full value of science instrument data. In particular SPICE kernels provide spacecraft and planetary ephemerides, instrument mounting alignments, spacecraft orientation, and data needed for relevant time conversions.

SpiceSpectrum is a comprehensive collection of high-quality images representing 11 distinct types of spices, selected based on global market value. With a total of 11,000 meticulously curated images (1,000 per spice), this dataset is specifically designed to cater to industry needs. It serves as a valuable resource for machine learning, image recognition, and automation within the spice and food industries. SpiceSpectrum enables businesses to enhance operations such as spice sorting, quality control, and inventory management, providing practical solutions for the food industry and related sectors.

Get the latest USA Organic Spice import data with importer names, shipment details, buyers list, product description, price, quantity, and major US ports.

18 Global import shipment records of Spice with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

This data set includes the complete set of Lunar Reconnaissance Orbiter SPICE data files (``kernel files''), which can be accessed using SPICE software. The SPICE data contains geometric and other ancillary information needed to recover the full value of science instrument data. In particular SPICE kernels provide spacecraft and planetary ephemerides, instrument mounting alignments, spacecraft orientation, and data needed for relevant time conversions.

This data set includes the complete set of SPICE data for one NEAR mission phase in the form of SPICE kernels, which can be accessed using SPICE software available to read these files.

This data set includes the complete set of SPICE data for one NEAR mission phase in the form of SPICE kernels, which can be accessed using SPICE software available to read these files.

This data set includes the complete set of Hayabusa SPICE data files (``kernel files'') for the surveying and collection phases of the mission. The SPICE data files, which can be accessed using SPICE software, contain geometric and other ancillary information needed to recover the full value of the science instrument data. In particular SPICE kernels provide spacecraft and planetary ephemerides, instrument mounting alignments, spacecraft orientation, spacecraft sequences of events, and data needed for relevant time conversions.

This data set includes the complete set of Cassini SPICE data files (``kernel files''), which can be accessed using SPICE software. The SPICE data contains geometric and other ancillary information needed to recover the full value of science instrument data. In particular SPICE kernels provide spacecraft and planetary ephemerides, instrument mounting alignments, spacecraft orientation, spacecraft sequences of events, and data needed for relevant time conversions.

60466 Global exporters importers export import shipment records of Spice with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

SPICE deals with ancillary data needed to support the planning for, and analysis of, science instrument data. As well as software (the SPICE toolkit) and documentation, SPICE provides data files, called kernels, that contain ancillary information which has been created in such a way as to allow easy access and correct usage by the space science and engineering communities.