cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13137119
title: CLIP-Embedded RedCaps Text-Image Dataset

description: This dataset was created by applying the CLIP embedding to the RedCaps dataset. Queries are generated by OpenAI's GPT model simulating textual queries searching multimodal content, embedded via CLIP. The data was curated by Desai, Kaul, Aysola, and Johnson from data collected by Reddit, and further curated into vector data by Engels for this work. 

Usage of the dataset itself is subject to Reddit terms, Reddit User Agreeement, Content Policy, and Privacy Policy (quoted from Desai et. al.'s accompanying paper for the image-and-text dataset). Usage of the queries are subject to OpenAI terms. Among others, OpenAI terms prohibits using the query component of this dataset to develop models that compete against OpenAI.
DOI: 10.5281/zenodo.13137120
title: CLIP-Embedded RedCaps Text-Image Dataset

description: This dataset was created by applying the CLIP embedding to the RedCaps dataset. Queries are generated by OpenAI's GPT model simulating textual queries searching multimodal content, embedded via CLIP. The data was curated by Desai, Kaul, Aysola, and Johnson from data collected by Reddit, and further curated into vector data by Engels for this work. 

Usage of the dataset itself is subject to Reddit terms, Reddit User Agreeement, Content Policy, and Privacy Policy (quoted from Desai et. al.'s accompanying paper for the image-and-text dataset). Usage of the queries are subject to OpenAI terms. Among others, OpenAI terms prohibits using the query component of this dataset to develop models that compete against OpenAI.
DOI: 10.6084/m9.figshare.21585741
title: FILET_results

description: Results from running FILET to determine introgression
DOI: 10.6084/m9.figshare.21585741.v1
title: FILET_results

description: Results from running FILET to determine introgression
DOI: 10.15468/dl.gjxnqc
title: Occurrence Download

description: A dataset containing 3016 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tridax procumbens L."
 ]
}

 The dataset includes 3016 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042741-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.8328620
title: Temperature drives co-limitation of light and nutrients in phytoplankton

description: These files contain all data necessary to create the figures published in the study "Temperature drives colimitation of light and nutrients in phytoplankton" The uploaded ZIP file <em>temperature drives colimitation.zip c</em>ontains all R codes and tables needed for the data analyses used in this study All data needed for the R-scripts are available in the folder '<em>RTables'</em> A<em> READMe</em> file that descripe all data files is avalable in the ZIP file R-scripts "a_growth rate_package" and "b_growth rate manually.R": We determined the maximum linear growth rate using the optical density measurements (needed table is "Opticaldensity.txt") R-script: "c_gamlss_growthrates.R": We used a GAMLSS to search for a model that best described the observed growth rates and used a null model that predicts additive effect on growth (needed table is "growthrates_ODratiobased.txt") - generates data for Figure 1 and Figure 2, and Table 2 R-script "d_gamlss_LRR.R"<em>: </em>We calculated the LRR between observed growth rates and growth rates predicted by the null model to classify co-limitation responses in sub-additive (LRR&lt;0) and super-additive (LRR&gt;0) (needed table is "gamlss_fig3") - generates data for Figure 3 and Table 3 R-script "e_data_vizualisation.R" : Contains all R codes to generate all figures
DOI: 10.15468/dl.amw9f5
title: Occurrence Download

description: A dataset containing 1765 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Panthera onca (Linnaeus, 1758)"
 ]
}

 The dataset includes 1765 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002029-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s3uk64
title: Occurrence Download

description: A dataset containing 531 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Etmopterus lucifer Jordan & Snyder, 1902",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 531 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002030-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g89f92
title: Occurrence Download

description: A dataset containing 27869 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tectona grandis L.f."
 ]
}

 The dataset includes 27869 records from 336 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002031-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2fft4m
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Etmopterus sculptus Ebert, Compagno & De Vries, 2011",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002032-250127130748423/datasets/export for details.
DOI: 10.5281/zenodo.14334970
title: Temperature-dependent responses to light and nutrients in phytoplankton

description: These files contain all data necessary to create the figures published in the study "Temperature-dependent responses to light and nutrients in phytoplankton"



The uploaded files contain all T-scripts and tables used for the analyses of this study

All data needed for the R-scripts are available in the folder 'RTables'

A READMe file that descripes all data files is avalable in the ZIP file




R-scripts "a-growthrates_RFU.R": Contains the calculation of the maximum linear growth rate using theRFU measurements (needed table is "incubation.txt")

R-script: "b_gamlss_growthrates_RFU.R": We used a GAMLSS to search for a model that best described the observed growth rates and used a null model that predicts additive effect on growth (needed table is "growthrates_RFUbased.txt") - generates data for Figure 3 and Figure 3, and Table 2

R-script "c_plots.R":  Contains all R codes to generate all figures 

R-script "d_gamlss_growthrates_OD.R": Contains the same statistical analyses (GAMLSS) as used for the results of this study, but this time with the growth rates based on Optical Density data and RFU data (for appendix).
DOI: 10.5281/zenodo.8328238
title: Temperature-dependent responses to light and nutrients in phytoplankton

description: These files contain all data necessary to create the figures published in the study "Temperature-dependent responses to light and nutrients in phytoplankton"



The uploaded files contain all T-scripts and tables used for the analyses of this study

All data needed for the R-scripts are available in the folder 'RTables'

A READMe file that descripes all data files is avalable in the ZIP file




R-scripts "a-growthrates_RFU.R": Contains the calculation of the maximum linear growth rate using theRFU measurements (needed table is "incubation.txt")

R-script: "b_gamlss_growthrates_RFU.R": We used a GAMLSS to search for a model that best described the observed growth rates and used a null model that predicts additive effect on growth (needed table is "growthrates_RFUbased.txt") - generates data for Figure 3 and Figure 3, and Table 2

R-script "c_plots.R":  Contains all R codes to generate all figures 

R-script "d_gamlss_growthrates_OD.R": Contains the same statistical analyses (GAMLSS) as used for the results of this study, but this time with the growth rates based on Optical Density data and RFU data (for appendix).
DOI: 10.15468/dl.ba7465
title: Occurrence Download

description: A dataset containing 26219 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "OccurrenceStatus is Present",
 "TaxonKey is Vultur gryphus Linnaeus, 1758"
 ]
}

 The dataset includes 26219 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002033-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sffzbu
title: Occurrence Download

description: A dataset containing 354 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Seriola quinqueradiata Temminck & Schlegel, 1845",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 354 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002034-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/grbm7krzkb.1
title: Parents & Host Families Dataset

description: A-NSKQ Data and Thematic Analysis from Parent and Host Family focus groups.
DOI: 10.17632/ydt998bnrb.1
title: Mars Microbial Survival Model - UVC Data from DA Model

description: Modelled UVC data used in the Mars Microbial Survival Model to find bioburden reductions on the surface of Mars. Values were found using a doubleing-and-adding radiative transfer code for Mars, with inputs sets to each landing site. The UVC flux at the first sol of 8 landing sites and the UVC flux every 10-degrees of Ls for 1 Mars Year at 14 landing sites are given here.
DOI: 10.6084/m9.figshare.28172786
title: Impact of dopants geometry of conjugated -C=C- bonds on the memristive properties of nanometric layers of ordered polymethacrylate brushes grafted from surfaces

description: <pre>This repository contains raw source data that has been collected and published in the form of an article. All data are presented as figures in the main text and in the supporting information. The description of the equipment, the procedure and conditions of individual measurements, as well as the methods of synthesis and modification of materials are described in detail in the text of the publication.<br>In detiails this repository contains the following data:<br>Fig 2. AFM images, FTIR and XPS spectra of native poly(TPM) brushes, poly(TPM) brushes after cleavage of protecting TMS groups and poly(TPM) brushes after self-template polymerization;<br>Fig 3. AFM topography images and images with scratches to determine thickness ot the polymer layers, XPS spectra for native poly(TPM) brushes and poly(TPM) brushes modified with CuCl2 and FeCl3 salts (10 and 60 min);<br>Fig 4. I-V scans, KP measurements with WF calculations for all native and dopped poly(TPM) samples;<br>Fig S1. FTIR spectrum of TPM monomer;<br>Fig S2. H-NMR spectrum of TPM monomer;<br>Fig S3. C-NMR spectrum of TPM monomer;<br>Fig S4. AFM images with scratches to determine thickness ot the poly(TPM) layers after 2h, 4h, 8h and 12h of PIPM reaction time;<br>Fig S5 and Table S1. XPS survey spectrum for poly(TPM) brushes after self-template polymerization doped with FeCl<sub>3</sub> and CuCl<sub>2</sub> after 10 min and 60 min of doping reaction;<br>Table S2. DFT simulation data'<br>Fig S6. I-V scans for various voltage ranges.<br><br><br> <br></pre>
DOI: 10.5284/1125869
title: Site Data from Building Survey at Civic Centre Building, Barnstaple, August 2022

description: This collection consists of site data from a building survey by ECUS Ltd at Civic Centre Building, Barnstaple, Devon in August 2022.The surveyed building is a ten storey Civic Centre Building was built in the mid-1960s and opened around 1967.
DOI: 10.15468/dl.rqpnek
title: Occurrence Download

description: A dataset containing 111 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chionoecetes japonicus Rathbun, 1932",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 111 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002035-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s7qvfb
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Austria",
 "TaxonKey is Aporrectodea georgii (Michaelsen, 1890)"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002036-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/bw3p8xv4sx.1
title: Human branding in political marketing: a systematic literature review and agenda for future research

description: Database with the steps taken to carry out the systematic literature review, inclusion and exclusion of articles.
DOI: 10.5281/zenodo.13934816
title: Fascicle-Selective Kilohertz-Frequency Neural Conduction Block with Longitudinal Intrafascicular Electrodes
DOI: 10.5281/zenodo.13934817
title: Fascicle-Selective Kilohertz-Frequency Neural Conduction Block with Longitudinal Intrafascicular Electrodes
DOI: 10.5281/zenodo.14755174
title: Fascicle-Selective Kilohertz-Frequency Neural Conduction Block with Longitudinal Intrafascicular Electrodes
DOI: 10.5281/zenodo.14755185
title: Fascicle-Selective Kilohertz-Frequency Neural Conduction Block with Longitudinal Intrafascicular Electrodes
DOI: 10.5281/zenodo.14755160
title: Multiple Models of European Marine Fish Stocks: small pelagics NW Mediterranean

description: Multiple Models of European Marine Fish Stocks: small pelagics NW Mediterranean
DOI: 10.5281/zenodo.14755161
title: Multiple Models of European Marine Fish Stocks: small pelagics NW Mediterranean

description: Multiple Models of European Marine Fish Stocks: small pelagics NW Mediterranean
DOI: 10.15468/dl.w75pgm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chionoecetes pacificus Sakai, 1978",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002037-250127130748423/datasets/export for details.
DOI: 10.17632/44dvydc7tg.1
title: Good And Bad classification of Cabbage and Potato Curry

description: Data Description for the Project: Good and Bad Classification of Cabbage and Potato Curry

The dataset consists of 1000 samples of Cabbage and Potato Curry, divided equally into two categories: Good (500 samples) and Bad (500 samples). Each sample has been evaluated based on sensory, physical, and chemical parameters that determine its quality and acceptability. The goal of the project is to classify the samples accurately into "Good" or "Bad" based on these parameters. Below is a detailed description of the dataset:

1. Sensory Attributes
These parameters assess the overall sensory quality of the curry:

Appearance: Color consistency and visual appeal (measured on a 1–10 scale).
Texture: Softness of the vegetables, uniformity, and absence of undesirable textures (1–10 scale).
Aroma: Freshness and pleasantness of the aroma (1–10 scale).
Taste: Flavor profile, including saltiness, sweetness, and bitterness (1–10 scale).
2. Physical Attributes
These parameters include measurable physical properties:

Moisture Content (%): The percentage of moisture in the sample.
Particle Size Distribution: The uniformity of cabbage and potato pieces.
Foreign Matter: Presence of impurities such as stones or extraneous particles (binary: 0 for absent, 1 for present).
3. Chemical Attributes
These attributes assess the chemical quality and shelf-life indicators:

pH: Acidity/alkalinity of the curry.
Acidity (%): Total titratable acidity to check for spoilage.
Peroxide Value: Indicator of fat oxidation (measured in meq/kg).
Microbial Load: Total Plate Count (TPC) measured in CFU/g to assess microbial contamination.
4. Classification Labels
Each sample is labeled as either:

Good (1): Samples that meet quality standards for appearance, texture, aroma, and taste, with acceptable physical and chemical properties.
Bad (0): Samples with substandard sensory, physical, or chemical qualities, or those with microbial spoilage.
Dataset Characteristics
Size: 1000 samples (500 Good, 500 Bad).
Balance: The dataset is balanced, ensuring equal representation of both classes.
Format: Tabular format with rows representing individual samples and columns representing attributes and labels.
Applications: The dataset can be used for training machine learning models, such as logistic regression, SVM, decision trees, or neural networks, to classify curry quality.
Significance
This dataset provides a comprehensive framework to understand the quality determinants of Cabbage and Potato Curry. The classification outcomes can help improve quality control processes and ensure consumer safety and satisfaction.

This concise description remains within the 3000-character limit while covering all critical aspects of the dataset. Let me know if you'd like to add any specific details or adjust the focus!
DOI: 10.17632/t7rz93bhn6.1
title: Al-BNNT-LD

description: This dataset includes computational results supporting the study of the interaction between Levodopa on Al‑doped boron nitride nanotube. The data highlight the geometry optimization, chemical reactivity, thermodynamic stability, and electronic properties of the adsorption process. Key results are obtained using AIM2000, Gaussian 09, and natural bond orbital (NBO) analyses.
DOI: 10.17632/fnjhkgbvrd.1
title: Análise do financiamento e dos gastos em saúde nos municípios de Sergipe: um estudo ecológico, 2005-2020

description: Objetivo: Analisar parte do financiamento e gasto em saúde dos municípios de Sergipe. Métodos: Estudo epidemiológico, observacional, do tipo ecológico, com dados do orçamento público em saúde de Sergipe, nos anos de 2005 a 2020. As unidades de análise foram os municípios do estado. Os dados foram coletados a partir do Sistema de Informações sobre Orçamentos Públicos em Saúde, envolvendo os indicadores Receita das Transferências para a Saúde - Sistema Único de Saúde, Despesa com Recursos Próprios e Despesa Total com Saúde. As variações anuais médias absolutas dos indicadores de receita e despesa foram estimadas por meio de modelos lineares de mínimos quadrados ponderados para a variância Resultados: Foram avaliados os dados de 75 municípios de Sergipe. As análises mostraram que, em 2020, o menor valor de Receita das Transferências para a Saúde foi de R$ 244 por habitante, repassados para São Cristóvão, enquanto o maior valor foi de R$ 743 por habitante, destinados a São Francisco. A Receita das Transferências para a Saúde apresentou aumento em todos os municípios estudados ao longo dos anos analisados, com um aumento anual médio absoluto de R$ 23 por habitante. Conclusão: Observou-se um aumento anual médio absoluto na Receita das Transferências para a Saúde destinadas aos municípios; no entanto, o repasse foi desigual entre os municípios analisados.
DOI: 10.57745/c0ozs2
title: Figure SI-8f.opju

description: Figures SI-8f - Format Origin 2023
DOI: 10.57745/f2p51b
title: Figure SI-8c.opju

description: Figures SI-8c - Format Origin 2023
DOI: 10.57745/g7w2ky
title: Figure 3d.stp

description: Image for Figures 3d - Format WsXm 5.0
DOI: 10.57745/gcpcvs
title: Figure 2b.stp

description: Image for Figures 2b - Format WsXm 5.0
DOI: 10.57745/iymgpj
title: Figure SI-8d.opju

description: Figures SI-8d - Format Origin 2023
DOI: 10.57745/jykzgz
title: Figure 3b.stp

description: Image for Figures 3b - Format WsXm 5.0
DOI: 10.57745/r0lvuw
title: Figure SI-8b.opju

description: Figures SI-8b - Format Origin 2023
DOI: 10.57745/svvk1g
title: Figure 3d Raw Data.sxm

description: Raw Data for Image of the Figures 3b - Format Nanonis
DOI: 10.57745/wpbin4
title: Figure 2a.stp

description: Image for Figures 2a - Format WsXm 5.0
DOI: 10.57745/5qoxuw
title: README.txt

description: :unav
DOI: 10.57745/capx0i
title: NMR.topspin.zip

description: Raw data for NMR in SI - File can be opened with TopSpin 4.0.8 software from Bruker BioSpin GmbH
DOI: 10.57745/cqcteh
title: Figure 3-m-n-o-p.opju

description: Figures 3m-n-o-p - Format Origin 2023
DOI: 10.57745/h26x9g
title: Figure 3a Raw Data.sxm

description: Raw Data for Image of the Figures 3a - Format Nanonis
DOI: 10.57745/ircxe2
title: Figure 3a.stp

description: Image for Figures 3a - Format WsXm 5.0
DOI: 10.57745/kfjc2q
title: Figure 3c.stp

description: Image for Figures 3c - Format WsXm 5.0
DOI: 10.57745/o0vphu
title: Figure SI-8e.opju

description: Figures SI-8e - Format Origin 2023
DOI: 10.57745/pi5rqb
title: Figure 2b Raw Data.sxm

description: Raw Data for Image of the Figures 2b - Format Nanonis
DOI: 10.57745/rrwjbb
title: Figure 2a Raw Data.sxm

description: Raw Data for Image of the Figures 2a - Format Nanonis
DOI: 10.57745/sf9vro
title: Figure 3b Raw Data.sxm

description: Raw Data for Image of the Figures 3b - Format Nanonis
DOI: 10.57745/vhe8zu
title: Figure SI-7b.opju

description: Figures SI-7b - Format Origin 2023
DOI: 10.57745/zimbht
title: Figure SI-2.opju

description: Figures SI-2 - Format Origin 2023