vitaliy-sharandin/climate-world-region

---
dataset_info:
features:
- name: Entity
dtype: string
- name: Seasonal variation
dtype: float64
- name: Combined measurements
dtype: float64
- name: Monthly averaged
dtype: float64
- name: Annual averaged
dtype: float64
- name: monthly_sea_surface_temperature_anomaly
dtype: float64
- name: Sea surface temp (lower-bound)
dtype: float64
- name: Sea surface temp (upper-bound)
dtype: float64
- name: Monthly pH measurement
dtype: float64
- name: Annual average
dtype: float64
- name: Temperature anomaly
dtype: float64
- name: Church & White
dtype: float64
- name: University of Hawaii
dtype: float64
- name: Average
dtype: float64
- name: arctic_sea_ice_osisaf
dtype: float64
- name: Monthly averaged.1
dtype: float64
- name: Annual averaged.1
dtype: float64
- name: Monthly averaged.2
dtype: float64
- name: Annual averaged.2
dtype: float64
- name: Date
dtype: timestamp[ns, tz=UTC]
- name: dt
dtype: timestamp[ns, tz=UTC]
splits:
- name: train
num_bytes: 1813733
num_examples: 10198
download_size: 450942
dataset_size: 1813733
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "climate-world-region"

[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

原始信息汇总

数据集概述

数据集信息

特征

• Entity: 类型为字符串。
• Seasonal variation: 类型为浮点数。
• Combined measurements: 类型为浮点数。
• Monthly averaged: 类型为浮点数。
• Annual averaged: 类型为浮点数。
• monthly_sea_surface_temperature_anomaly: 类型为浮点数。
• Sea surface temp (lower-bound): 类型为浮点数。
• Sea surface temp (upper-bound): 类型为浮点数。
• Monthly pH measurement: 类型为浮点数。
• Annual average: 类型为浮点数。
• Temperature anomaly: 类型为浮点数。
• Church & White: 类型为浮点数。
• University of Hawaii: 类型为浮点数。
• Average: 类型为浮点数。
• arctic_sea_ice_osisaf: 类型为浮点数。
• Monthly averaged.1: 类型为浮点数。
• Annual averaged.1: 类型为浮点数。
• Monthly averaged.2: 类型为浮点数。
• Annual averaged.2: 类型为浮点数。
• Date: 类型为时间戳，时区为UTC。
• dt: 类型为时间戳，时区为UTC。

数据分割

• train: 包含10198个样本，占用1813733字节。

数据集大小

• 下载大小: 450942字节。
• 数据集大小: 1813733字节。

配置

• default:
  • 数据文件:
    • train: 路径为data/train-*。