cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57761/r64r-6p88
title: Nothing Stands Still

description: Iro Armeni (iarmeni@stanford.edu)
description: A Spatiotemporal Benchmark on 3D Point Cloud Registration Under Large Geometric and Temporal Change
description: The **Nothing Stands Still** (NSS) dataset captures is collected from real construction sites across months, which covers much longer temporal duration and more dramatic object movement, appearance, disappearance, and shape deformation. It consists of 3D fragments captured over time in 6 large-scale indoor

areas, along with their corresponding scans. The dataset focuses on the construction of interior layouts, where the exterior shell of the areas has been erected, and the interior space is empty. The captures chronicle the progression of

various construction activities, including the creation of walls, installation of mechanical, electrical, and plumbing elements, movement of materials, temporary structures, machinery, and more. It comprises more than 1.5 billion 3D points and 15,000 m2 area from buildings of educational, scientific, and office use. Each area covers approximately 2,500 m2 in average and has 2–6 stages.

**

![all_building.jpg](<https://redivis.com/fileUploads/60705fe1-81c9-46d7-b5cd-10830b8e57f8>)

<u><strong>Pairwise and Multiway Registration</strong></u>

The NSS benchmark is designed for evaluating the performance of registration algorithms in both pairwise and multiway settings under spatiotemporal changes. In the pairwise setting, the goal is to align a pair of point clouds relative to each other, while in the multiway setting, the goal is to align a set of point clouds in a globally consistent map. These two settings are complementary to each other, and both are crucial for real-world applications.





![](<https://redivis.com/fileUploads/8d434b7e-7d4f-42ef-a6e9-addb7550aead>)



<u><strong>Registration Tasks, Leaderboard, and Evaluation Server</strong></u>

*We provide a set of registration tasks for evaluating *the performance of registration algorithms: Cross Area, Cross Stage, and Original. The tasks are designed to evaluate the generalization ability of registration algorithms at different levels. The dataset includes a training and validation split; the test set annotations are hidden. We provide an [evaluation server](<https://eval.nothing-stands-still.com/>) for submitting to the test set.



![tasks.jpg](<https://redivis.com/fileUploads/18395710-cfdc-4931-9c72-63dca09d6792>)

<u><strong>Important Information</strong></u>

- **Dataset files and structure: **[https://nothing-stands-still.com/download](<https://nothing-stands-still.com/download>)
- **Everything you need to know about NSS:** [https://nothing-stands-still.com/](<https://nothing-stands-still.com/>)
- **Dataset creation and benchmarking:** [https://arxiv.org/pdf/2311.09346](<https://arxiv.org/pdf/2311.09346>)
- ***Have you seen our challenge? ***[https://nothing-stands-still.com/challenge](<https://nothing-stands-still.com/challenge>)

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DOI: 10.57761/2a9p-5155
title: EHRSHOT

description: Jason Fries (jfries@stanford.edu)

Michael Wornow (mwornow@stanford.edu)

description: EHRSHOT-2023 is a benchmark for evaluating few-shot learning in patient classification tasks and contains:

- **6,739 **patients
- **41\.6 million** clinical events
- **921,499** visits
- **15** prediction tasks

<!-- -->

All data is sourced from [Stanford’s STARR-OMOP database ](<https://academic.oup.com/jamiaopen/article/6/3/ooad054/7236015>)and is fully de-identified. Unlike most EHR research datasets, EHRSHOT-2023 is not restricted to ED/ICU visits and includes longitudinal patient data for all hospital encounter types.



Please see our Github repo to obtain code for loading the dataset, including a full data preprocessing pipeline for reproducibility, and running a set of pretrained baseline models


description: Access to the EHRSHOT-2023 dataset requires completing the following:

- Confirming Affiliation (Academic, Government, Industry Research Lab)
- Encryption Verification / Attestation
- Signing the terms of the EHRSHOT Data Set License 1.0
- CITI Training
- HIPAA Training

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DOI: 10.57761/nx9z-w529
title: EHRSHOT

description: Jason Fries (jfries@stanford.edu)

Michael Wornow (mwornow@stanford.edu)

description: EHRSHOT is a dataset for benchmarking few-shot performance of foundation models for healthcare. EHRSHOT contains de-identified structured data (e.g., diagnosis and procedure codes, medications, lab values) from the electronic health records (EHRs) of 6,739 Stanford Medicine patients and includes 15 prediction tasks. Unlike MIMIC-III/IV and other popular EHR datasets, EHRSHOT is longitudinal and includes data beyond ICU and emergency department patients.
description: EHRSHOT is a benchmark for evaluating few-shot learning in patient classification tasks and contains:

- **6,739 **patients
- **41\.6 million** clinical events
- **921,499** visits
- **15** prediction tasks

<!-- -->

All data is sourced from [Stanford’s STARR-OMOP database ](<https://academic.oup.com/jamiaopen/article/6/3/ooad054/7236015>)and is fully de-identified. Unlike most EHR research datasets, EHRSHOT is not restricted to ED/ICU visits and includes longitudinal patient data for all hospital encounter types.



**EHRSHOT does not contain patient clinical notes.**



We also release the full weights of **CLMBR-T-base, **a 141M parameter clinical foundation model pretrained on the structured EHR data of **2\.57M patients.** Please download from [https://huggingface.co/StanfordShahLab/clmbr-t-base](<https://huggingface.co/StanfordShahLab/clmbr-t-base>)



Please see our Github repo to obtain code for loading the dataset, including a full data preprocessing pipeline for reproducibility, and running a set of pretrained baseline models


description: Access to the EHRSHOT dataset requires the following:

- Verified Affiliation with an **Academic, Government, **or** Industry Research Lab**. Please use your **verified email address** when applying, **do not use Gmail or personal emails.**
- Encryption Verification / Attestation for Data Storage
- Signing the terms of the EHRSHOT Data Set License 1.0
- Providing a short description of your intended research use of EHRSHOT
- CITI Training

<!-- -->

**Please allow 7-10 business days to process applications.**
DOI: 10.57761/trbe-8t18
title: EHRSHOT

description: Jason Fries (jfries@stanford.edu)

Michael Wornow (mwornow@stanford.edu)

description: EHRSHOT is a dataset for benchmarking few-shot performance of foundation models for healthcare. EHRSHOT contains de-identified structured data (e.g., diagnosis and procedure codes, medications, lab values) from the electronic health records (EHRs) of 6,739 Stanford Medicine patients and includes 15 prediction tasks. Unlike MIMIC-III/IV and other popular EHR datasets, EHRSHOT is longitudinal and includes data beyond ICU and emergency department patients.
description: EHRSHOT is a benchmark for evaluating few-shot learning in patient classification tasks and contains:

- **6,739 **patients
- **41\.6 million** clinical events
- **921,499** visits
- **15** prediction tasks

<!-- -->

All data is sourced from [Stanford’s STARR-OMOP database ](<https://academic.oup.com/jamiaopen/article/6/3/ooad054/7236015>)and is fully de-identified. Unlike most EHR research datasets, EHRSHOT is not restricted to ED/ICU visits and includes longitudinal patient data for all hospital encounter types.



**EHRSHOT does not contain patient clinical notes.**



We also release the full weights of **CLMBR-T-base, **a 141M parameter clinical foundation model pretrained on the structured EHR data of **2\.57M patients.** Please download from [https://huggingface.co/StanfordShahLab/clmbr-t-base](<https://huggingface.co/StanfordShahLab/clmbr-t-base>)



Please see our Github repo to obtain code for loading the dataset, including a full data preprocessing pipeline for reproducibility, and running a set of pretrained baseline models


description: Access to the EHRSHOT dataset requires the following:

- Verified Affiliation (Academic, Government, Industry Research Lab). Please use your **verified email address** when applying, **do not use gmail or personal emails.**
- Encryption Verification / Attestation for Data Storage
- Signing the terms of the EHRSHOT Data Set License 1.0
- Providing a short description of your intended research use of EHRSHOT
- CITI Training

<!-- -->

**Please allow 7-10 business days to process applications.**
DOI: 10.57761/d9mk-0732
title: EHRSHOT

description: Jason Fries (jfries@stanford.edu)

Michael Wornow (mwornow@stanford.edu)

description: EHRSHOT is a dataset for benchmarking few-shot performance of foundation models for healthcare. EHRSHOT contains de-identified structured data (e.g., diagnosis and procedure codes, medications, lab values) from the electronic health records (EHRs) of 6,739 Stanford Medicine patients and includes 15 prediction tasks. Unlike MIMIC-III/IV and other popular EHR datasets, EHRSHOT is longitudinal and includes data beyond ICU and emergency department patients.

We provide the dataset in two formats:

    1. EHRSHOT_ASSETS.zip -- contains EHRSHOT in the original format detailed in the paper. Relies on the FEMR 0.1.16 library (https://github.com/som-shahlab/femr) for data processing. Contains raw data, labels, and models.

    2. EHRSHOT_MEDS.zip -- contains EHRSHOT in the MEDS 0.3.3 format (https://github.com/Medical-Event-Data-Standard/meds). This file contains identical raw data and labels as EHRSHOT_ASSETS.zip. However, it does not include any models.
description: EHRSHOT is a benchmark for evaluating few-shot learning in patient classification tasks and contains:

- **6,739 **patients
- **41\.6 million** clinical events
- **921,499** visits
- **15** prediction tasks

<!-- -->

All data is sourced from [Stanford’s STARR-OMOP database ](<https://academic.oup.com/jamiaopen/article/6/3/ooad054/7236015>)and is fully de-identified. Unlike most EHR research datasets, EHRSHOT is not restricted to ED/ICU visits and includes longitudinal patient data for all hospital encounter types.



**EHRSHOT does not contain patient clinical notes.**



We also release the full weights of **CLMBR-T-base, **a 141M parameter clinical foundation model pretrained on the structured EHR data of **2\.57M patients.** Please download from [https://huggingface.co/StanfordShahLab/clmbr-t-base](<https://huggingface.co/StanfordShahLab/clmbr-t-base>)



Please see our Github repo to obtain code for loading the dataset, including a full data preprocessing pipeline for reproducibility, and running a set of pretrained baseline models


description: Access to the EHRSHOT dataset requires the following:

- Verified Affiliation with an **Academic, Government, **or** Industry Research Lab**. Please use your **verified email address** when applying, **do not use Gmail or personal emails.**
- Encryption Verification / Attestation for Data Storage
- Signing the terms of the EHRSHOT Data Set License 1.0
- Providing a short description of your intended research use of EHRSHOT
- CITI Training

<!-- -->

**Please allow 7-10 business days to process applications.**
DOI: 10.57761/na0f-7w59
title: State of the Profession Survey

description: If you have questions or concerns, please contact Ron Nakao at ronbo@stanford.edu.
description: The State of the Profession survey focuses on the interactions of top municipal and county administrators with elected officials in their local governments and on their key relationships outside the governmental sphere. (The survey does not examine the administrative and managerial responsibilities of top administrators).
description: ICMA’s database of local governments includes approximately 11,000 U.S. municipalities and 2,900 U.S. counties with populations of 2,500 or greater, as well as a majority of municipalities and counties with populations under 2,500 ([https://icma.org/survey-research](<https://icma.org/survey-research>)). The survey was distributed to chief administrative officers of local governments.


description: Available documentation is contained in zip files labelled by survey year (see

***Supporting Files***). Documentation will always include the survey instrument; where available, documentation may also include codebooks and response rates.

The 2009 data was split across two files. Consequently, in Redivis, a single year of data is split into two tables. Users can JOIN the tables on shared variables (keys) like IMISID, USTATE, etc.
DOI: 10.25549/independent-c69-16328
title: Staff one, 1978

description: Edward M. Davis. Staff one: a perspective on effective police management. Englewood Cliffs, New Jersey: Prentice-Hall, Inc., 1978. Accompanied by memo indicating the photocopy of the book was provided by the author. PART OF: Commission meetings (6 of 6). PART OF A SERIES: Materials in the series fall into one of several categories related to the Independent Commission's work product: (1) Commission meeting materials, which include meeting agendas, work plans, memoranda, and articles about police misconduct that were circulated and reviewed during the Commission's internal meetings; (2) public correspondence, which includes citizen complaints against the LAPD in the form of written testimony, articles, and an audio cassette tape, as well as letters drafted by citizens in support of the LAPD; (3) summaries of interviews held with LAPD officers regarding Departmental procedures and relations; (4) public meeting materials, which include transcripts, supplementary documents, and witness statements that were reviewed at the Commission's public meetings; (5) press releases related to the formation and work product of the Commission; and (6) miscellaneous materials reviewed by the Commission during its study, including LAPD personnel and training manuals, a memorandum of understanding, and messages from the LAPD's Mobile Digital Terminal (MDT) system.
DOI: 10.25549/independent-c69-16441
title: Staff one, 1978

description: Edward M. Davis. Staff one: a perspective on effective police management. Englewood Cliffs, New Jersey: Prentice-Hall, Inc., 1978. Accompanied by memo indicating the photocopy of the book was provided by the author. PART OF: Commission meetings (6 of 6). PART OF A SERIES: Materials in the series fall into one of several categories related to the Independent Commission's work product: (1) Commission meeting materials, which include meeting agendas, work plans, memoranda, and articles about police misconduct that were circulated and reviewed during the Commission's internal meetings; (2) public correspondence, which includes citizen complaints against the LAPD in the form of written testimony, articles, and an audio cassette tape, as well as letters drafted by citizens in support of the LAPD; (3) summaries of interviews held with LAPD officers regarding Departmental procedures and relations; (4) public meeting materials, which include transcripts, supplementary documents, and witness statements that were reviewed at the Commission's public meetings; (5) press releases related to the formation and work product of the Commission; and (6) miscellaneous materials reviewed by the Commission during its study, including LAPD personnel and training manuals, a memorandum of understanding, and messages from the LAPD's Mobile Digital Terminal (MDT) system.
DOI: 10.25549/independent-c69-21054
title: Correspondence, vol. 2, 1991 May 2-31

description: Correspondence, vol. 2, 1991 May 2-31. PART OF A SERIES: Jones, Day, Reavis & Pogue investigated how LAPD administrators respond to personnel complaints and allegations of misconduct. Materials in the series were collected and analyzed by the firm for this purpose, and include summaries of witness interviews; article clippings discussing instances of alleged police misconduct; source materials related to the LAPD’s use-of-force policies; a transcript of a court case involving officer misconduct; summaries of personnel complaint statistics; and excerpts taken from the personnel files of officers with multiple complaints and misconduct charges. Also included is correspondence sent and received by the firm over the course of its investigation.
DOI: 10.25549/independent-c69-15110
title: Legal research regarding the history of the Los Angeles charter, 1850-1963 (3b of 3)

description: Municipal and county government section of Town Hall. A study of the Los Angeles City Charter: a report. Los Angeles, California: Town Hall, Biltmore Hotel, 1963 December. PART OF A SERIES: A critical component of the Commission's investigation centered on the idea that governance of the LAPD was shared between the Office of the Chief of Police, an administrative body, and the Board of Police Commissioners, a citizen body. To better understand the dynamic between these two entities, the staff of Heller, Ehrman, White, & McAuliffe researched the history of the Los Angeles City Charter, focusing primarily on its provisions regarding the distribution of power and the structure and organization of the LAPD. Included in the series are reproductions of reports, dissertations, article clippings, excerpts from city documents, and charter amendments related to the charter's conception and development over time. The series also includes several summaries of expert witness interviews regarding the effectiveness of this structure.
DOI: 10.25549/inscriptifact-ouc111358446
title: Persepolis Fortification Elamite Tablet 1270.101, Fort 1270.101

description: [Text Description:] Administrative text ❧ [Text or Publication Number Note:] Fort 1270.101 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impression on upper edge. ❧ [Physical Object Note:] Several fragments joined together. Areas of all sides broken, damaged. Right edge missing. ❧ [Physical Object Note:] Top fragment one tablet number, bottom assembly the second?
DOI: 10.15468/dl.7etker
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "StateProvince is oklahoma",
 "TaxonKey is Ambystoma talpoideum (Holbrook, 1838)"
 ]
}

 The dataset includes 7 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012370-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ryrpdu
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Thailand",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lutrogale perspicillata (I.Geoffroy Saint-Hilaire, 1826)",
 "Year 2000-2024"
 ]
}

 The dataset's 1 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062837-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111358567
title: Persepolis Fortification Elamite Tablet 1270.101, Fort 1270.101

description: [Text Description:] Administrative text ❧ [Text or Publication Number Note:] Fort 1270.101 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impression on upper edge. ❧ [Physical Object Note:] Several fragments joined together. Areas of all sides broken, damaged. Right edge missing. ❧ [Physical Object Note:] Top fragment one tablet number, bottom assembly the second?
DOI: 10.15468/dl.h7xqcs
title: Occurrence Download

description: A dataset containing 23805 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Typhlopidae"
 ]
}

 The dataset includes 23805 records from 167 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002905-170925132151566/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111358526
title: Persepolis Fortification Elamite Tablet 1270.101, Fort 1270.101

description: [Text Description:] Administrative text ❧ [Text or Publication Number Note:] Fort 1270.101 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impression on upper edge. ❧ [Physical Object Note:] Several fragments joined together. Areas of all sides broken, damaged. Right edge missing. ❧ [Physical Object Note:] Top fragment one tablet number, bottom assembly the second?
DOI: 10.25549/inscriptifact-ouc111126738
title: Contract, UT 1599-30

description: [Text Description:] Contract. Fine writing. ❧ [Text or Publication Number Note:] UT 1599-30 ❧ [Excavation Description:] Nippur? ❧ [Medium:] Clay ❧ [Script Note:] Cuneiform, Non-Alphabetic ❧ [Physical Object Description:] Large rectangular clay tablet, black-brown color. Fragile; large saltpeter crystals. Very fine writing. 10.5 x 6cm.
DOI: 10.15468/dl.mlufur
title: Occurrence Download

description: A dataset containing 192486 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Juncus bufonius L."
 ]
}

 The dataset includes 192486 records from 518 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022548-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111126555
title: Contract, UT 1599-30

description: [Text Description:] Contract. Fine writing. ❧ [Text or Publication Number Note:] UT 1599-30 ❧ [Excavation Description:] Nippur? ❧ [Medium:] Clay ❧ [Script Note:] Cuneiform, Non-Alphabetic ❧ [Physical Object Description:] Large rectangular clay tablet, black-brown color. Fragile; large saltpeter crystals. Very fine writing. 10.5 x 6cm.
DOI: 10.15468/dl.un5j8p
title: Occurrence Download

description: A dataset containing 407 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Quercus griffithii Hook.f. & Thomson ex Miq."
 ]
}

 The dataset includes 407 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0179217-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111126742
title: Contract, UT 1599-30

description: [Text Description:] Contract. Fine writing. ❧ [Text or Publication Number Note:] UT 1599-30 ❧ [Excavation Description:] Nippur? ❧ [Medium:] Clay ❧ [Script Note:] Cuneiform, Non-Alphabetic ❧ [Physical Object Description:] Large rectangular clay tablet, black-brown color. Fragile; large saltpeter crystals. Very fine writing. 10.5 x 6cm.
DOI: 10.25549/inscriptifact-ouc111126744
title: Contract, UT 1599-30

description: [Text Description:] Contract. Fine writing. ❧ [Text or Publication Number Note:] UT 1599-30 ❧ [Excavation Description:] Nippur? ❧ [Medium:] Clay ❧ [Script Note:] Cuneiform, Non-Alphabetic ❧ [Physical Object Description:] Large rectangular clay tablet, black-brown color. Fragile; large saltpeter crystals. Very fine writing. 10.5 x 6cm.