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metadata
task_categories:
  - tabular-regression
  - time-series-forecasting
language:
  - de
tags:
  - library
  - occupancy
  - weather
  - time-series
size_categories:
  - 100K<n<1M
dataset_info:
  features:
    - name: Zeitstempel
      dtype: large_string
    - name: Lesesaal
      dtype: large_string
    - name: Auslastung (%)
      dtype: int64
    - name: Farbe
      dtype: large_string
    - name: Temperatur (°C)
      dtype: float64
    - name: Wetterbeschreibung
      dtype: large_string
  splits:
    - name: train
      num_bytes: 10169705
      num_examples: 109360
  download_size: 220265
  dataset_size: 10169705
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

bibspace

Dataset Summary

bibspace contains time-stamped occupancy readings for the reading rooms of the Universität Regensburg library, enriched with matching weather data. Occupancy values were scraped from the university's reading-room occupancy page, and weather observations were retrieved from the OpenWeatherMap API for the corresponding timestamps. The dataset supports analysis and modeling of how reading-room occupancy varies over time and with weather conditions.

  • Rows: 109,360
  • Format: Parquet
  • Language of category labels: German (room names, color labels, and weather descriptions are in German, as scraped from the source website)
  • Time range: 2025-07-29 15:11:18 to 2026-06-29 17:30:40

Data Fields

Column Type Description
Zeitstempel string (date) Timestamp of the observation.
Lesesaal string (10 classes) Name/identifier of the reading room.
Auslastung (%) int64 Occupancy of the reading room, in percent.
Farbe string (3 classes) Traffic-light-style occupancy indicator shown on the library website (green/yellow/red).
Temperatur (°C) float64 Outdoor air temperature in degrees Celsius at the time of the observation.
Wetterbeschreibung string (12 classes) Short weather description (e.g., cloudy, rain, clear sky), as returned by the OpenWeatherMap API.

Source Data

  • Occupancy data was scraped at regular intervals from the University of Regensburg library's public reading-room occupancy page.
  • Weather data was retrieved from the OpenWeatherMap API for the same timestamps and merged with the occupancy readings by time.