Hunt Institute for Botanical Documentation
A Research Division of Carnegie Mellon University

Hunt Institute Archives Text Discovery Platform

Search a large and growing portion of our online collections, including handwritten documents.
PROTOTYPE

This prototype uses state-of-the-art artificial intelligence, including a vision-language model (VLM) capable of reading handwritten documents as well as typed and printed text, to create searchable transcriptions of digitized materials in the Hunt Institute Archives. This makes it possible to search the textual contents of individual pages, including material that may not be described in the archival catalog.

Use Keyword search for specific words, names, dates, scientific names, or phrases. Try Semantic search (experimental) to describe a topic, question, or kind of material when you do not know the exact wording used in the documents.

About the AI-generated transcriptions

The transcriptions are generated automatically from page images and may contain errors, especially with difficult handwriting, unusual names, multiple languages, image-quality problems, or complex layouts. They are intended primarily as a discovery aid rather than authoritative transcriptions.

Each result provides the generated transcription and links to the original digitized material and associated archival description so that readings can be checked against the source. The transcription workflow uses AI models run locally by the Hunt Institute.

About Keyword and Semantic search

Keyword search is the default and matches the wording in the transcriptions. Results contain all your terms. Use quotes for an exact phrase. Substring matching is supported, so aceae can find plant-family names ending in -aceae.

Semantic search (experimental) is useful when you know what kind of material you are looking for but do not know the words used in the documents. It ranks transcribed passages by similarity of meaning, so relevant results may not contain the exact words in your query.

Semantic queries can be broad research topics, descriptions of activities or relationships, or natural-language questions. For example:

Semantic search is not a chatbot: a question is used as a search query, and the system returns archival passages that appear conceptually related to it rather than generating an answer or summary. Short descriptions and ordinary research questions generally work better than lists of disconnected keywords. Quotation marks have no special meaning in Semantic mode. Cross-language matching may work in some cases, but it should not be treated as translation.

Keyword and Semantic search are complementary. Keyword search lets you require particular wording; Semantic search can surface differently worded passages about the same subject. Depending on the research question, trying both can reveal different useful material.

Open a result: use the prominent page-and-transcription link to see the metadata, PDF, and full transcription. Keyword-search terms are highlighted in the transcription.

Archives Collections Database (ArchivesSpace): the Collection, Item/Folder, and Digital Object links open the corresponding archival records. Collection-level dates describe the collection as a whole, not necessarily the specific item or page.

If a PDF does not load: on the detail page, use the Digital Object link, click “Go to file” in ArchivesSpace, and navigate to the page number shown here.

Current limitations
  • Automated transcriptions can contain missing or incorrect text or unintended repetition. Difficult handwriting, image quality, unusual layouts, and multiple languages can reduce accuracy. Always consult the original page image when an exact reading matters.
  • Semantic search remains experimental. Its rankings are an additional discovery aid, not a complete or definitive set of relevant results, and highly ranked pages can sometimes be only broadly related.
  • This is an active prototype. Search coverage, transcriptions, functionality, and the interface may continue to change as additional archival material is processed and the system is improved.

← Back to results

Page 43 · DO #4532 · 116_Van%20Schaack_Bx6FF20_r

Collection
George B. Van Schaack (1903–1983) papers
Item/Folder
Miscellaneous (2 of 2), 1945–1981
Digital Object
DO #4532, page 43
Collection-level dates
1918–1981
Open PDF at page 43 ↗

Page transcription

Appendix

Concerning Plant Collecting by Members of the Armed Forces

This note is prepared to accompany letters written in answer to inquiries concerning plant collecting for the U.S. National Herbarium.

Why collect: Many people think that the plants of the region in which they are stationed are already thoroughly known and it would be useless to gather more material. This idea is erroneous because: (1) Collecting these plants may be a valuable occupation for increasing your knowledge of the plant life about you through having the specimens identified for you. (2) No part of the world is entirely known botanically and few at all adequately. (3) This herbarium may not have specimens of all the species of your area, even if they are common, or may not have specimens showing adequately both flowers and fruits and their variations, or our specimens may lack valuable data which you may supply on the labels with your specimens. (4) Delicate material is needed to exchange with other institutions and to help rebuild the bombed-out herbaria of Europe and elsewhere. Also people often think the flora around them consists entirely of commonplace littoral weeds or plants of cultivation. Suppose sometime it becomes important to know when a certain weed was introduced to a certain isolated Pacific island by airplanes. If we do not know what was on the island before the advent of airplanes, we can scarcely say when some new pest arrived. If a person still thinks neither he nor science will benefit by his collecting, he should remember that there are groups very little collected, such as mosses, liverworts, fungi, algae (including seaweeds and diatoms), and lichens.

What to collect: Collect specimens of what interests you and for which you want names. Generally avoid sterile material, i.e., without flowers or fruits, because of the difficulty of accurate identification without these parts. Remember the grasses—they are too often overlooked as being "just grass and no one wants that". If at the seashore, collect marine algae washed up on the beach, if you can not pull them off the rocks at low tide or dive for them. Remember the diatoms which are attached to the seaweeds. (see under How to collect.) The various forms of fungi, both saprophytic, like mushrooms, and parasitic, like wheat rust, are needed, but in case you collect the latter prepare also normal specimens of the hosts. Cultivated crop plants are rare in herbaria, but are often of much value and are desired in certain collections, especially specimens of special varieties not widely distributed. Notes on all these are essential and may often make an otherwise useless specimen very valuable. Too often herbaria have only specimens representing abnormal leaf sizes, especially of forms with leaves that are too large for a normal sheet. Hence, collect material representing variations in leaf size, shape, color, etc., and of other variations in parts. Do not hesitate to have one collection represented by two or more sheets.