Prepare for initial release (#120)

CHANGELOG.md

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+<!--
+SPDX-FileCopyrightText: 2023 Springtime authors
+
+SPDX-License-Identifier: Apache-2.0
+-->
+
+# Changelog
+
+All notable changes to this project will be documented in this file.
+
+The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
+and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
+
+## [Unreleased]
+
+## [0.1.0] - 2023-03-05
+
+### Added
+
+- Interface for datasets
+- Downloaders and loaders for Daymet, PPO, NPN, PEP725, Phenocam, and MODIS data
+- Package metadata, citation information
+- Documentation
+- License information
+
+[Unreleased]: https://github.com/phenology/springtime/compare/v0.1.0...HEAD
+[0.1.0]: [0.1.0]: https://github.com/phenology/springtime/releases/tag/v0.1.0

CITATION.cff

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+# SPDX-FileCopyrightText: 2023 Springtime authors
+#
+# SPDX-License-Identifier: Apache-2.0
+
+# This CITATION.cff file was generated with cffinit.
+# Visit https://bit.ly/cffinit to generate yours today!
+
+cff-version: 1.2.0
+title: Springtime
+message: >-
+  If you use this software, please cite it using the
+  metadata from this file.
+type: software
+authors:
+  - given-names: Peter
+    family-names: Kalverla
+    affiliation: Netherlands eScience Center
+    orcid: 'https://orcid.org/0000-0002-5025-7862'
+  - given-names: Fakhereh
+    family-names: Alidoost
+    affiliation: Netherlands eScience Center
+    orcid: 'https://orcid.org/0000-0001-8407-6472'
+  - given-names: Stefan
+    family-names: Verhoeven
+    orcid: 'https://orcid.org/0000-0002-5821-2060'
+    affiliation: Netherlands eScience Center
+  - given-names: Mahdi
+    family-names: Khodadadzadeh
+    orcid: 'https://orcid.org/0000-0001-7899-738X'
+    affiliation: University of Twente
+repository-code: 'https://github.com/phenology/springtime'
+url: 'https://springtime.readthedocs.io/'
+abstract: >-
+  The Springtime Python package helps to streamline
+  workflows for doing machine learning with phenological
+  datasets.
+keywords:
+  - phenology
+  - machine learning
+  - geospatial