cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/mhx-vbb-a1p
title: †Zygospira modesta (Say in Hall, 1847)

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.18666687.v1
title: Additional file 2 of N6-Methyladenosine-Related lncRNAs as potential biomarkers for predicting prognoses and immune responses in patients with cervical cancer

description: Additional file2: Table S1: Each sample in the CESC cohort is divided into two clusters based on cluster analysis. Table S2: m6A and lncRNA genes derived from the CESC cohort. Table S3: Expression relationship between m6A and lncRNA in the CESC cohort. Table S4: Clinical characteristics of each sample in the CESC cohort. Table S5: Tumour microenvironmental characteristics of each sample in the CESC cohort. Table S6: Tumour microenvironment stromal score, immune score, and total tumour microenvironment score for each sample in the CESC cohort. Table S7: Construction of an independent prognostic model for the CESC cohort: factors and coefficients. Table S8: Survival time and survival status, lncRNA coefficient, risk score, and high/low risk classification for each sample in the CESC cohort.
DOI: 10.34847/nkl.a7c0444f
title: Interview with John Cridland, conducted by Jérôme Gautié and Dorian Jullien on June 3rd 2025. Oral Histories of Economics

description: Interview with John Cridland, conducted by Jérôme Gautié and Dorian Jullien on June 3rd, for a research project on the history of "new minimum wage research". This interview is part of the collection "The Minimum Wage Debates in the 1990s U.S. and U.K." of the Oral Histories of Economics project (https://www.oralhistoriesofeconomics.org/). The set of data contains:
- the audio recording of the interview;
- the transcription of the interview (reviewed and edited by the interviewers and the interviewee)
DOI: 10.15468/dl.xhazsc
title: Occurrence Download

description: A dataset containing 98 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Trapelus boehmei Wagner, Melville, Wilms & Schmitz, 2011"
 ]
}

 The dataset includes 98 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010841-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m6g4gd
title: Occurrence Download

description: A dataset containing 152652 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aster L."
 ]
}

 The dataset includes 152652 records from 716 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0156925-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.38rkok
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Colombia",
 "Country is Ecuador"
 ]
 },
 "TaxonKey is Centrolene scirtetes (Duellman & Burrowes, 1989)"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032349-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ba6sxh
title: Occurrence Download

description: A dataset containing 5237 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Chiroptera"
 ]
}

 The dataset includes 5237 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0158828-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p3fyjg
title: Occurrence Download

description: A dataset containing 93 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Micromacronus sordidus Ripley & Rabor, 1968"
 ]
}

 The dataset includes 93 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010860-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nubs75
title: Occurrence Download

description: A dataset containing 1325 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Orobanche cernua Loefl."
 ]
}

 The dataset includes 1325 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032349-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2b9n7c
title: Occurrence Download

description: A dataset containing 120662 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anthemis L."
 ]
}

 The dataset includes 120662 records from 740 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0156922-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2wz83g
title: Occurrence Download

description: A dataset listing the 1890 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Plantas Vasculares del Herbario EIF"
 ]
}

 The dataset's 1890 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010878-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57761/7bar-8a64
title: Truveta

description: Truveta delivers complete EHR data, including clinician notes and images, from more than 30 health systems, linked with SDOH, mortality and claims data, for scientifically rigorous research. Truveta Data provides regulatory grade, daily updated data from more than 100 million de-identified patients across the US from more than 800 hospitals and 20,000 clinics, providing the most complete, timely and representative view of patient care. With access to over five years of longitudinal patient data, Truveta offers unparalleled depth and breadth for healthcare research across all diseases, drugs, and devices.


description: To get access you must:

1\. Complete all data access requirements including a study form.

2\. Prebuy compute (increments of $5,000). You only pay for what you use. Your Department Finance Adminstrator will have to help you with this.

3\. Register on the Truveta website: [https://studio.truveta.com/](<https://studio.truveta.com/>)

3\. Inform PHS and request to be added to Truveta support@stanfordphs.freshdesk.com:
DOI: 10.57761/75nh-0e37
title: News on the Web Corpus (NOW)

description: If you have questions or concerns, please contact Linnea Shieh at linnea.shieh@stanford.edu.


description: The News on the Web (NOW) corpus contains billions of words of data from web-based newspapers and magazines from 2010 to 2022.
description: The data were cleaned for inclusion in Data Farm. Please see[ News on the Web Corpus GitLab](<https://code.stanford.edu/sul-cidr/now>) for more information.
DOI: 10.57783/pdvt-5h09
title: Minimum Data Set (MDS)

description: Pat Stone - ps2024@columbia.edu
description: A standardized screening and assessment tool of health status with comprehensive assessments of all residents in CMS-certified NHs regardless of insurance type. Completed on admission, quarterly and with change in status.
description: ResDAC Data Use Agreement

Cost to reuse the data


description: #Collaboration Notes  
I am open to new collaborations AND I am open to supporting a doctoral student


description: #Start and End Dates of Data  
2011-2022
DOI: 10.57761/33n1-e757
title: Counseling and Psychotherapy Transcripts: Volume II [full text data]

description: If you have questions or concerns, please contact Kathy Kerns at kkerns@stanford.edu.
description: This collection contains the plain text transcripts of therapy sessions. These transcripts are sourced from Alexander Street Press' Counseling and Psychotherapy Transcripts: Volume II. The collection features a diverse set of clients, a wide range of presenting issues, and multiple therapeutic approaches. Content was recorded in 2012 or later, and the transcripts were generally released between 2013 and 2015. The collection adheres to the American Psychological Association's Ethics Guidelines for use and anonymity.
description: For a complete list of transcripts, please see ***CTRN Metadata\_QA completed by WS 1.6.21.xlsx*** (under **Supporting files**).

This deposit is Stanford Libraries’ local copy of Counseling and Psychotherapy Transcripts: Volume II, which may be used for data mining. If your research requires you to read the text to understand or analyze it, you may use the corresponding ProQuest database, available under **Links**.
DOI: 10.57761/avgy-3141
title: Counseling and Psychotherapy Transcripts: Volume II [full text data]

description: If you have questions or concerns, please contact Azure Stewart at azures@stanford.edu.
description: This collection contains the plain text transcripts of therapy sessions. These transcripts are sourced from Alexander Street Press' Counseling and Psychotherapy Transcripts: Volume II. The collection features a diverse set of clients, a wide range of presenting issues, and multiple therapeutic approaches. Content was recorded in 2012 or later, and the transcripts were generally released between 2013 and 2015. The collection adheres to the American Psychological Association's Ethics Guidelines for use and anonymity.
description: For a complete list of transcripts, please see ***CTRN Metadata\_QA completed by WS 1.6.21.xlsx*** (under **Supporting files**).

This deposit is Stanford Libraries’ local copy of Counseling and Psychotherapy Transcripts: Volume II, which may be used for data mining. If your research requires you to read the text to understand or analyze it, you may use the corresponding ProQuest database, available under **Links**.
DOI: 10.57761/zh3g-ch31
title: Counseling and Psychotherapy Transcripts: Volume II [full text data]

description: If you have questions or concerns, please contact Azure Stewart at azures@stanford.edu.
description: This collection contains the plain text transcripts of therapy sessions. These transcripts are sourced from Alexander Street Press' Counseling and Psychotherapy Transcripts: Volume II. The collection features a diverse set of clients, a wide range of presenting issues, and multiple therapeutic approaches. Content was recorded in 2012 or later, and the transcripts were generally released between 2013 and 2015. The collection adheres to the American Psychological Association's Ethics Guidelines for use and anonymity.
description: For a complete list of transcripts, please see ***CTRN Metadata\_QA completed by WS 1.6.21.xlsx*** (under **Supporting files**).

This deposit is Stanford Libraries’ local copy of Counseling and Psychotherapy Transcripts: Volume II, which may be used for data mining. If your research requires you to read the text to understand or analyze it, you may use the corresponding ProQuest database, available under **Links**.
DOI: 10.57761/c9da-zq22
title: Counseling and Psychotherapy Transcripts: Volume I [full text data]

description: If you have questions or concerns, please contact Azure Stewart at azures@stanford.edu.
description: This collection contains plain text transcripts of therapy sessions, associated reference works and published narratives, memoirs, and other client narratives. Documents are sourced from Alexander Street Press' Counseling and Psychotherapy Transcripts: Volume I - Counseling and Psychotherapy Transcripts, Client Narratives, and Reference Works. The transcripts of therapy and counseling sessions illustrate a range of therapeutic techniques and practices. The pairing of these transcripts with associated reference works and published narratives, memoirs, and other client narratives enhances the collection's ability to provide insight into the experience of those undergoing therapy and living with mental illness. The dataset contains more than 2,000 session transcripts, 44,000 pages of client narratives, and 25,000 pages of secondary reference material.
description: For a complete list of materials, please see ***PSYC ESR with texts\_QA completed by WS 1.7.21.xlsx*** (under **Supporting files**).



Under the **Files **tab:

- **Books/ **contains the plain text of books.

<!-- -->

- **Transcripts/** contains the plain text of therapy transcripts. 

<!-- -->

- **Raw Files/ **contains, where available, the original, scanned copies of books or therapy transcripts, usually as a pdf or series of jpgs. 

<!-- -->



Under the **Tables **tab:

- Filter files by relevant features (e.g. School\_of\_Therapy, Symptoms) in the **Publication Metadata **table.
- Join the **Publication Metadata **extraction with the file indices to select files for export and analysis.

<!-- -->
DOI: 10.57783/3k8f-1c69
title: CUIT 3D Models

description: 3D models from CUIT
DOI: 10.57783/f70q-gc02
title: CUIT 3D Models

description: 

![Virtual Columbia](<https://redivis.com/fileUploads/90455b6a-4026-4b5e-a42c-883bcc8e63a3>)

3D models from CUIT
DOI: 10.57783/kyk6-yb14
title: CUIT 3D Models

description: 

![Virtual Columbia](<https://redivis.com/fileUploads/90455b6a-4026-4b5e-a42c-883bcc8e63a3>)

3D models from CUIT
DOI: 10.57761/j4q9-aj68
title: Harvard Air Quality Data

description: https://beta.sedac.ciesin.columbia.edu/help
description: To provide annual PM2.5 component concentration data for the contiguous U.S. at resolutions of 50m in urban areas and 1km in non-urban areas for public health research to estimate effects on human health, and for other related research.
description: The Annual Mean PM2.5 Components (EC, NH4, NO3, OC, SO4) 50m Urban and 1km Non-Urban Area Grids for Contiguous U.S., 2000-2019, v1 data set contains annual predictions of the chemical concentrations at a hyper resolution (50m x 50m grid cells) in urban areas and at a high resolution (1km x 1km grid cells) in non-urban areas for the years 2000 to 2019. Particulate matter with an aerodynamic diameter less than 2.5 µm (PM2.5) increases mortality and morbidity. PM2.5 is composed of a mixture of chemical components that vary across space and time. Due to limited hyperlocal data availability, less is known about health risks of PM2.5 components, their U.S.-wide exposure disparities, or which species are driving the biggest intra-urban changes in PM2.5 mass. The national super-learned models were developed across the U.S. for hyperlocal estimation of annual mean elemental carbon, ammonium, nitrate, organic carbon, and sulfate concentrations across 3,535 urban areas at a 50m spatial resolution, and at a 1km resolution for non-urban areas from 2000 to 2019. Using Machine-Learning models (ML), combined with either a Generalized Additive Model (GAM) Ensemble Geographically-Weighted-Averaging (GAM-ENWA) or Super-Learning (SL) and approximately 82 billion predictions across 20 years, hyperlocal super-learned PM2.5 components are now available for further research. The overall R-squared values of 10-fold cross validated models ranged from 0.910 to 0.970 on the training sets for these components, while on the test sets the R-squared values ranged from 0.860 to 0.960. Remarkable spatiotemporal intra-urban and inter-urban variabilities were found in PM2.5 components. The Coordinate Reference System (CRS) for predictions is the World Geodetic System 1984 (WGS84) and the units for the PM2.5 Components are µg/m^3.


description: The data are provided in RDS tabular format, a file format native to the R programming language, but can also be opened by other languages such as Python.
DOI: 10.5281/zenodo.15207864
title: P=NP 알고리즘 검토. 2
DOI: 10.5281/zenodo.15207865
title: P=NP 알고리즘 검토. 2
DOI: 10.6084/m9.figshare.25909906
title: Bacterial production rates in the East China Sea and Yellow Sea

description: This provides a dataset for surface and vertical distributions of bacterial production in the East China Sea and Yellow Sea during the spring of 2021.
DOI: 10.6084/m9.figshare.25909906.v1
title: Bacterial production rates in the East China Sea and Yellow Sea

description: This provides a dataset for surface and vertical distributions of bacterial production in the East China Sea and Yellow Sea during the spring of 2021.
DOI: 10.15468/dl.4plhg1
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cibotium chamissoi Kaulf.",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 27 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049865-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.npbs2x
title: Occurrence Download

description: A dataset containing 188038 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Poliocephalus poliocephalus (Jardine & Selby, 1827)"
 ]
}

 The dataset includes 188038 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076705-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x54pjb
title: Occurrence Download

description: A dataset containing 523 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Japan",
 "TaxonKey is Pinus pumila (Pall.) Regel"
 ]
}

 The dataset includes 523 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0112709-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vwbx7t
title: Occurrence Download

description: A dataset containing 152138 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Ardeola F.Boie, 1822",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 152138 records from 165 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049865-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dpspcx
title: Occurrence Download

description: A dataset containing 9815307 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 9815307 records from 1942 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0138922-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1100482.10fu
title: SH1100482.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1100486.10fu
title: SH1100486.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1100488.10fu
title: SH1100488.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1100489.10fu
title: SH1100489.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.