This is a forecast made for the upcoming December 2 - 4 rodent trapping at the long-term Portal research site in southern Arizona. Four models were used to achieve forecasts with 90% prediction interv

DataCite Commons2020-09-03 更新120

weecology/forecasts 2019-01-09

Archived forecasts for future analysis

Zenodo2019-01-09 更新30

The comparison results between the multi-feature trained LSTM and the seven univariate forecasting models for the indicator of production of coal.

煤炭产量预测

时序预测

The results show that the multi-feature trained LSTM (i.e., LSTM_Multi) outperforms the seven univariate forecasting models.

NIAID Data Ecosystem20

SimpleFunctions/sf-index-history

市场预测分析

时序预测

SF Index的时间序列数据：这是一个四数摘要，用于描述预测市场的共识情况，包括分歧（0-100）、地理风险（0-100）、广度（-1..+1）和活动（0-100）四个指标。这些数据每15分钟从约50K个市场计算得出，并以Flat JSONL格式存储，便于图表绘制和分析。

Hugging Face2026-04-24 更新60

Comparison of the Score and Mean Absolute Error (MAE) for the short time scale forecasting.

时序预测

预测性能度量

Comparison of the Score and Mean Absolute Error (MAE) for the short time scale forecasting.

Figshare2025-05-09 更新20

Weecology/Portalpredictions 2018-07-13

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