cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.9ad5zr
title: Occurrence Download

description: A dataset containing 19603 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Jena Microbial Resource Collection (JMRC) at Leibniz Institute for Natural Product Research and Infection Biology e.V. Hans-Knöll-Institute (HKI) and Friedrich Schiller University Jena"
 ]
}

 The dataset includes 19603 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012642-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/nyxqmg
title: Replication Data for: British nationals’ preferences over who gets to be a citizen according to a choice-based conjoint experiment

description: Here are the original dataset used for the analysis and the codebook that describes the included variables
DOI: 10.7910/dvn/n208ai
title: HPTN 071 Intervention Data

description: This page includes the HPTN 071 intervention data.
DOI: 10.7910/dvn/tyc7hm
title: TAPS Data, June 2015

description: TAPS Data, June 2015
DOI: 10.15468/dl.r7z5nj
title: Occurrence Download

description: A dataset containing 465 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Elephas maximus Linnaeus, 1758",
 "Year 2018-2018"
 ]
}

 The dataset includes 465 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015308-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/nx4qr
title: Senate Unpassed Legislation 1844, Docket 11502, SC1/series 231, Petition of R.A. Fleming

description: &lt;p&gt;Petition subject: Against the gag rule and concerning the Latimer petitions &lt;/p&gt; &lt;p&gt;Original: &lt;a href="http://nrs.harvard.edu/urn-3:FHCL:11381154"&gt;http://nrs.harvard.edu/urn-3:FHCL:11381154&lt;/a&gt; &lt;/p&gt; &lt;p&gt;Date of creation: 1844-02-26 &lt;/p&gt; &lt;p&gt;Petition location: Medway &lt;/p&gt; &lt;p&gt;Legislator, committee, or address that the petition was sent to: Luther Metcalf, Norfolk; joint committee on the amendment of the constitution &lt;/p&gt; &lt;p&gt;Selected signatures:&lt;ol&gt;&lt;li&gt;R.A. Fleming&lt;/li&gt;&lt;li&gt;M.M. Fisher&lt;/li&gt;&lt;li&gt;Stephen J. Metcalf&lt;/li&gt;&lt;/ol&gt; &lt;/p&gt; &lt;p&gt;Actions taken on dates: 1844-02-29,1844-02-29 &lt;/p&gt; &lt;p&gt;Legislative action: Received in the Senate on February 29, 1844 and referred to the joint committee on the amendment to the constitution and sent for concurrence and received in the House on February 29, 1844 and concurred &lt;/p&gt; &lt;p&gt;Total signatures: 37 &lt;/p&gt; &lt;p&gt;Legislative action summary: Received, referred, sent, received, concurred &lt;/p&gt; &lt;p&gt;Legal voter signatures (males not identified as non-legal): 37 &lt;/p&gt; &lt;p&gt;Female only signatures: No &lt;/p&gt; &lt;p&gt;Identifications of signatories: citizens &lt;/p&gt; &lt;p&gt;Prayer format was &lt;a href="http://en.wikipedia.org/wiki/Printing"&gt;printed&lt;/a&gt; vs. &lt;a href="http://en.wikipedia.org/wiki/Manuscript"&gt;manuscript&lt;/a&gt;: Manuscript &lt;/p&gt; &lt;p&gt;Additional non-petition or unrelated documents available at archive: additional documents available &lt;/p&gt; &lt;p&gt;Additional archivist notes: Great Massachusetts Petition, George Latimer &lt;/p&gt; &lt;p&gt;Location of the petition at the Massachusetts Archives of the Commonwealth: Senate Unpassed 1844, Docket 11502 &lt;/p&gt; &lt;p&gt;Acknowledgements: Supported by the National Endowment for the Humanities (PW-5105612), Massachusetts Archives of the Commonwealth, Radcliffe Institute for Advanced Study at Harvard University, Center for American Political Studies at Harvard University, Institutional Development Initiative at Harvard University, and Harvard University Library.&lt;/p&gt;
DOI: 10.7910/dvn/njubs
title: Passed Resolves; Resolves 1789, c.119, SC1/series 228, Petition of Simon Stow

description: &lt;p&gt;Petition subject: Support for individuals &lt;/p&gt; &lt;p&gt;Original: &lt;a href="http://nrs.harvard.edu/urn-3:FHCL:12208674"&gt;http://nrs.harvard.edu/urn-3:FHCL:12208674&lt;/a&gt; &lt;/p&gt; &lt;p&gt;Date of creation: 1789-06-17 &lt;/p&gt; &lt;p&gt;Petition location: [Marlborough] &lt;/p&gt; &lt;p&gt;Legislator, committee, or address that the petition was sent to: Several names from a committee &lt;/p&gt; &lt;p&gt;Selected signatures:&lt;ol&gt;&lt;li&gt;Simon Stow&lt;/li&gt;&lt;/ol&gt; &lt;/p&gt; &lt;p&gt;Total signatures: 1 &lt;/p&gt; &lt;p&gt;Legal voter signatures (males not identified as non-legal): 1 &lt;/p&gt; &lt;p&gt;Female only signatures: No &lt;/p&gt; &lt;p&gt;Identifications of signatories: agent on the estate of Henry Barns Esq late of Marlborough Absentee &lt;/p&gt; &lt;p&gt;Prayer format was &lt;a href="http://en.wikipedia.org/wiki/Printing"&gt;printed&lt;/a&gt; vs. &lt;a href="http://en.wikipedia.org/wiki/Manuscript"&gt;manuscript&lt;/a&gt;: Manuscript &lt;/p&gt; &lt;p&gt;Additional non-petition or unrelated documents available at archive: additional documents available &lt;/p&gt; &lt;p&gt;Additional archivist notes: Henry Barnes, Daphne, resolve, [states that she has lived with Veney or Venus a black woman in Roe's Lane more than seven years in Boston and has refused to be moved to the country side where rent is cheaper, detailed accounts in folder] &lt;/p&gt; &lt;p&gt;Location of the petition at the Massachusetts Archives of the Commonwealth: Resolves 1789, c.119, passed June 26, 1789 &lt;/p&gt; &lt;p&gt;Acknowledgements: Supported by the National Endowment for the Humanities (PW-5105612), Massachusetts Archives of the Commonwealth, Radcliffe Institute for Advanced Study at Harvard University, Center for American Political Studies at Harvard University, Institutional Development Initiative at Harvard University, and Harvard University Library.&lt;/p&gt;
DOI: 10.7910/dvn/xy4mec
title: Wright Casebook Edited; Docketed Case: 18,630
DOI: 10.7910/dvn/nhae8n
title: Advanced Systems development with Machine Learning.

description: Software development has over the years grown to become complex with the advancement of new processing hardware, demanding user experience, complexity of codes, innovations and demand for updates. Also, the rapid growth of developmental paradigm in software languages, and cloud computing services, software developers are faced with several challenges to deliver software that are continuous, integral and agile. Modern software applications using Machine learning (ML) is geared to transform the nature of software development in fundamental ways. We will be exploring how the integration of machine learning models has greatly advanced software development in recent times.
DOI: 10.7910/dvn/sh7cs9
title: "RNA Profiling for analyses on metastatic Tumor microenvironment (TME) in Omental Biopsies (HGSOC) to identify potential Biomarkers through Statistical Analysis"

description: This was Scientific Poster Presentation to analyse Research Methodological Skills by analysing a manuscript tittled "Deconstruction of a metastatic TME reveals common matrix response in human cancers". We were asked to present the most important technique (based on our analysis) incorporated, making this a successful research which gave promising results. I beleive that it was the process of RNA Sequencing which made the whole research having clear-cut depiction and identification of such genes which aided in upregulation or downregulation of such proteins which affected the sustainability of Tumor Microenvironment (TME) in the case of HGSOC (High Grade Serous Ovarian Cancer). This research was carried out at Barts Cancer Institute, London by an eminent faculty Prof. Frances R Balkwill and I titled my Poster as "RNA Profiling for analyses on metastatic Tumor microenvironment (TME) in Omental Biopsies (HGSOC) to identify potential Biomarkers through Statistical Analysis"
DOI: 10.7910/dvn/rrcqeo
title: Replication Data for: Ethnicity, pre-existing comorbidities, and outcomes of hospitalised patients with COVID-19

description: The data were used to examine ethnic, demographic, socio-economic and clinical risk factors associated with outcomes of COVID-19 positive hospital patients.
DOI: 10.7910/dvn/xyrqjw
title: Replication Data for: Patterns and Consequences of Elite Politicization of the American Judiciary

description: This repository contains the quantitative data used in the dissertation "Patterns and Consequences of Elite Politicization of the American Judiciary." These datasets will likely become out of date over time. If any paper is subsequently published, I will upload individual replication packages to the appropriate data archive. Please contact me with any questions at arstone@g.harvard.edu or stoneand2@gmail.com.
DOI: 10.7910/dvn/u4tjeo
title: Transfer Income Model (TRIM3)
title: The Urban Institute

description: Users can download reports and access a simulation model of the effect of major governmental tax, transfer and health programs on the U.S. population at the individual, family, state and national level.
&lt;p&gt;&lt;b&gt;Background&lt;/b&gt;&lt;/p&gt; The Transfer Income Model, version 3 (TRIM3) is a microsimulation model developed and maintained by the Urban Institute and is funded primarily through the Department of Health and Human Services (DHHS). TRIM3 simulates the effect of major governmental tax, transfer and health programs on the U.S. population at the individual, family, state, and national level. This simulation includes governmental programs such as: Supplemental Security Income (SSI), child care, Tempo
rary Assistance to Needy Families (TANF), public and subsidized housing, food stamp program, child support, Medicare, Medicaid and SCHIP, employer-sponsored health insurance, and taxes.
&lt;p&gt;&lt;b&gt;User Functionality&lt;/b&gt;&lt;/p&gt; Users can calculate frequencies and statistics, download summary reports, and run regression models based upon TRIM3 simulations. Users must register to access TRIM3 simulations. Data can be downloaded in several programs including: ASCII, SAS, SPSS, dBase, and Microsoft Excel. &lt;p&gt;&lt;b&gt;Data Notes&lt;/b&gt;&lt;/p&gt; TRIM3 is updated annually to reflect changes in tax and transfer programs. Data are available on national and state levels.
DOI: 10.7910/dvn/txcr3l
title: Wright Casebook Edited; Docketed Case: 82-2157
DOI: 10.7910/dvn/nikx3
title: Senate Unpassed Legislation 1839, Docket 10525, SC1/series 231, Petition of Jonas M. Miles

description: &lt;p&gt;Petition subject: Against the admission of Florida and slave states &lt;/p&gt; &lt;p&gt;Original: &lt;a href="http://nrs.harvard.edu/urn-3:FHCL:11858066"&gt;http://nrs.harvard.edu/urn-3:FHCL:11858066&lt;/a&gt; &lt;/p&gt; &lt;p&gt;Date of creation: (unknown) &lt;/p&gt; &lt;p&gt;Petition location: Shrewsbury &lt;/p&gt; &lt;p&gt;Selected signatures:&lt;ol&gt;&lt;li&gt;Jonas M. Miles&lt;/li&gt;&lt;li&gt;Augustus A. Allen&lt;/li&gt;&lt;li&gt;Joseph Pratt&lt;/li&gt;&lt;/ol&gt; &lt;/p&gt; &lt;p&gt;Total signatures: 125 &lt;/p&gt; &lt;p&gt;Legal voter signatures (males not identified as non-legal): 125 &lt;/p&gt; &lt;p&gt;Female only signatures: No &lt;/p&gt; &lt;p&gt;Identifications of signatories: legal voters &lt;/p&gt; &lt;p&gt;Prayer format was &lt;a href="http://en.wikipedia.org/wiki/Printing"&gt;printed&lt;/a&gt; vs. &lt;a href="http://en.wikipedia.org/wiki/Manuscript"&gt;manuscript&lt;/a&gt;: Printed &lt;/p&gt; &lt;p&gt;Additional non-petition or unrelated documents available at archive: no additional documents &lt;/p&gt; &lt;p&gt;Additional archivist notes: Deacon? &lt;/p&gt; &lt;p&gt;Location of the petition at the Massachusetts Archives of the Commonwealth: Senate Unpassed 1839, Docket 10525 &lt;/p&gt; &lt;p&gt;Acknowledgements: Supported by the National Endowment for the Humanities (PW-5105612), Massachusetts Archives of the Commonwealth, Radcliffe Institute for Advanced Study at Harvard University, Center for American Political Studies at Harvard University, Institutional Development Initiative at Harvard University, and Harvard University Library.&lt;/p&gt;
DOI: 10.7910/dvn/ttw8kq
title: CCES 2016, Team Module of Campaign Finance Taskforce (CFT)

description: This dataverse contains the data and supporting documents for the CCES 2016 Campaign Finance Taskforce. This project was supported by the National Science Foundation, Grant Number SES-1559125.
DOI: 10.7910/dvn/xvlv7n
title: Research Data for: Studies on High Density Planting and Nutrient Requirement of Banana in Different States of India

description: Data related to the article on the high density planting (HDP) and nutrient requirement of banana, conducted under the ICAR-All India Coordinated Research Project on Fruits, is being shared. The experiment was carried out at six research centers across different regions of India, including Bhubaneswar, Gandevi, Jalgaon, Jorhat, Kannara, and Mohanpur. The study aimed to increase banana productivity and farmers' profit by exploring the intervention of plant density and nutrition levels while maintaining regional choices of variety and production systems.

The experiment employed a randomized block design (RBD) with four planting densities (S1P2, S1P3, S2P2, and S2P3) and three nutrition levels (F1, F2, and F3) compared to region-specific conventional practices as the control. The results showed that high density planting (S1P3) with a density of 5,000 plants per hectare and three suckers per hill at a spacing of 2m x 3m significantly increased banana productivity at the Bhubaneswar, Gandevi, Jorhat, Kannara, and Mohanpur centers. The productivity increase ranged from 28.9% to 50.6% at Bhubaneswar, 15.2% to 21.9% at Gandevi, 4.0% to 7.4% at Jorhat, 33.5% to 43.5% at Kannara, and 46.5% to 79.0% at Mohanpur.

The nutrient requirement varied across centers, with 100% recommended dose of fertilizer (RDF) at Kannara, 75% RDF at Bhubaneswar and Mohanpur, and 50% RDF at Gandevi and Jorhat. These findings suggest potential cost savings of 25% to 50% for fertilizer input.

To ensure higher productivity and profitability for farmers, it is recommended to implement high density planting (5,000 plants/ha) with three suckers per hill at a spacing of 2m x 3m and specific nutrient levels in the respective agro-climatic regions. The shared data provides valuable insights into optimizing banana cultivation practices and supports evidence-based decision-making in horticultural sciences.
DOI: 10.15468/dl.xnd2xb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amaranthus viridis",
 "Country is Tuvalu",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024363-250811113504898/datasets/export for details.
DOI: 10.15468/dl.w42tmh
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amaranthus viridis",
 "Country is Timor-Leste",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024361-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tsa6tg
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amaranthus viridis",
 "Country is Uzbekistan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 33 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024364-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26390011
title: 2<sup>-C</sup><sup>T</sup> method for RT-qPCR data analysis

description: here we show the details of the calculations following the 2<sup>-CT</sup> method for analyzing real-time quantitative PCR data
DOI: 10.6084/m9.figshare.26390011.v4
title: 2<sup>-C</sup><sup>T</sup> method for RT-qPCR data analysis

description: here we show the details of the calculations following the 2<sup>-CT</sup> method for analyzing real-time quantitative PCR data
DOI: 10.6084/m9.figshare.29183996
title: Source Data for "<b>Best Practices for Measuring Indoor Photovoltaic Devices"</b>

description: Source Data for "<b>Best Practices for Measuring Indoor Photovoltaic Devices"</b>
DOI: 10.15468/y9buqy
title: Taxonomic and Zoogeographical Notes of Japanese Cryptinae (Hymenoptera, Ichneumonidae), with Description of Five New Species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Kyohei Watanabe (2019): Taxonomic and Zoogeographical Notes of Japanese Cryptinae (Hymenoptera, Ichneumonidae), with Description of Five New Species. Bulletin of the Kanagawa Prefectural Museum (Natural Science) 48: 81-113, DOI: 10.5281/zenodo.11205625
DOI: 10.15468/dl.ja2nzd
title: Occurrence Download

description: A dataset containing 579 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Myosotis scorpioides, Myosotis scorpioides, Myosotis palustris, Myosotis palustris, Myosotis palustris, Myosotis palustris, Myosotis palustris)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 579 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001389-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.msrnua
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((114.786 -3.272832, 114.715623 -3.278396, 114.646976 -3.294952, 114.581747 -3.322093, 114.521542 -3.35915, 114.467841 -3.405214, 114.421966 -3.459149, 114.385047 -3.519631, 114.357994 -3.58517, 114.341475 -3.654154, 114.335898 -3.724885, 114.341404 -3.795621, 114.357859 -3.864621, 114.384861 -3.930185, 114.421748 -3.990698, 114.467612 -4.044669, 114.521324 -4.090767, 114.581562 -4.127856, 114.646841 -4.155021, 114.715552 -4.171593, 114.786 -4.177163, 114.856448 -4.171593, 114.925159 -4.155021, 114.990438 -4.127856, 115.050676 -4.090767, 115.104388 -4.044669, 115.150252 -3.990698, 115.187139 -3.930185, 115.214141 -3.864621, 115.230596 -3.795621, 115.236102 -3.724885, 115.230525 -3.654154, 115.214006 -3.58517, 115.186953 -3.519631, 115.150034 -3.459149, 115.104159 -3.405214, 115.050458 -3.35915, 114.990253 -3.322093, 114.925024 -3.294952, 114.856377 -3.278396, 114.786 -3.272832))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001390-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6gcy4r
title: Occurrence Download

description: A dataset containing 1142536 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation)",
 "Continent is Europe",
 "TaxonKey is Populus"
 ]
}

 The dataset includes 1142536 records from 3209 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001360-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28852634
title: Exploring Innovation-Driven Machine Learning Models

description: Underlying data of the project.
DOI: 10.5281/zenodo.15278919
title: Global Colon Cancer Screening Market 2024 To 2033

description: Colon Cancer Screening Market Size, Trends and Insights By Screening Methods (Fecal Occult Blood Tests (FOBT), Fecal Immunochemical Tests (FIT), Stool DNA Tests, Colonoscopy, Flexible Sigmoidoscopy, Virtual Colonoscopy (CT Colonography)), By Age Group (Below 50 years, 50-64 years, Above 65 years), By End User (Hospitals, Diagnostic Laboratories, Ambulatory Surgical Centers, Research Institutes), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033.

Reports Description

As per the current market research conducted by the CMI Team, the global Colon Cancer Screening Market is expected to record a CAGR of 6.2% from 2024 to 2033. In 2024, the market size is projected to reach a valuation of USD 17,221.2 Million. By 2033, the valuation is anticipated to reach USD 29,592.6 Million.

The Colon Cancer Screening Market encompasses the global industry focused on early detection and prevention of colorectal cancer through various screening methods. These methods include fecal occult blood tests (FOBT), fecal immunochemical tests (FIT), colonoscopy, flexible sigmoidoscopy, virtual colonoscopy, and stool DNA tests.

The market is driven by increasing incidence rates of colorectal cancer, rising awareness about preventive healthcare, and technological advancements in screening techniques. Key players in the market include medical device manufacturers, diagnostic laboratories, healthcare providers, and research institutions. The market’s growth is further propelled by government initiatives promoting screening programs and the adoption of innovative screening technologies.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=45615