cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25582/data.2022-03.2460360/2104127
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-04.2470243/2104128
title: Data for EMSL Project 51278 from April 2022
DOI: 10.25582/data.2022-03.2464951/2104129
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-03.2455715/2104130
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-03.2465069/2104131
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-03.2464964/2104132
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-03.2455011/2104133
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-03.2455671/2104134
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-05.2508699/2104135
title: Data for EMSL Project 51278 from May 2022
DOI: 10.25582/data.2022-05.2509066/2104136
title: Data for EMSL Project 51278 from May 2022
DOI: 10.25582/data.2022-03.2455765/2104137
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-04.2468285/2104138
title: Data for EMSL Project 51278 from April 2022
DOI: 10.25582/data.2022-04.2469078/2104139
title: Data for EMSL Project 51278 from April 2022
DOI: 10.25582/data.2022-03.2458813/2104140
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-03.2464927/2104141
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-03.2455718/2104142
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-03.2452088/2104143
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-03.2455766/2104144
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-03.2464943/2104145
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-04.2467133/2104146
title: Data for EMSL Project 51278 from April 2022
DOI: 10.25582/data.2022-04.2469454/2104147
title: Data for EMSL Project 51278 from April 2022
DOI: 10.25582/data.2022-03.2463464/2104148
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-03.2455675/2104149
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-03.2453552/2104150
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-03.2464949/2104151
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-03.2465000/2104152
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-03.2463253/2104153
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-03.2464942/2104154
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-04.2467909/2104155
title: Data for EMSL Project 51278 from April 2022
DOI: 10.25582/data.2022-03.2449072/2104156
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-03.2452103/2104157
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-03.2464941/2104158
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-03.2455612/2104159
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-03.2455698/2104160
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-03.2455728/2104161
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-03.2453145/2104162
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-05.2508588/2104163
title: Data for EMSL Project 51278 from May 2022
DOI: 10.25582/data.2022-03.2453662/2104164
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-03.2455778/2104165
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-04.2471454/2104166
title: Data for EMSL Project 51278 from April 2022
DOI: 10.25582/data.2022-03.2455666/2104167
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-03.2455704/2104168
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-03.2453847/2104169
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-04.2469469/2104170
title: Data for EMSL Project 51278 from April 2022
DOI: 10.25582/data.2022-04.2471455/2104171
title: Data for EMSL Project 51278 from April 2022
DOI: 10.25582/data.2022-03.2455069/2104172
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-03.2465034/2104173
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-03.2460463/2104174
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-03.2455672/2104175
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-03.2463722/2104176
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-03.2460464/2104177
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-03.2464939/2104178
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-03.2455699/2104179
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-04.2467247/2104180
title: Data for EMSL Project 51278 from April 2022
DOI: 10.25582/data.2022-03.2457982/2104181
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-03.2464701/2104182
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-03.2455498/2104183
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-03.2465049/2104184
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-03.2455745/2104185
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-03.2455667/2104186
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-03.2457981/2104187
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-05.2509063/2104188
title: Data for EMSL Project 51278 from May 2022
DOI: 10.25582/data.2022-05.2509663/2104189
title: Data for EMSL Project 51278 from May 2022
DOI: 10.25582/data.2022-03.2453615/2104190
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-04.2468152/2104191
title: Data for EMSL Project 51278 from April 2022
DOI: 10.25582/data.2022-05.2510793/2104192
title: Data for EMSL Project 51278 from May 2022
DOI: 10.25582/data.2022-03.2453618/2104193
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-04.2469395/2104194
title: Data for EMSL Project 51278 from April 2022
DOI: 10.25582/data.2022-03.2455385/2104195
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-03.2455504/2104196
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-03.2463577/2104197
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-03.2465012/2104198
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-03.2449057/2104199
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-04.2469159/2104200
title: Data for EMSL Project 51278 from April 2022
DOI: 10.25582/data.2022-03.2465029/2104201
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-03.2451856/2104202
title: Data for EMSL Project 51278 from March 2022
DOI: 10.6084/m9.figshare.23709672
title: dataset related to <b>Trade, Revenue and Welfare Effects of the RCEP on China</b>.zip

description: The dataset ( Excel files ) was generated for the article of <em>Trade, Revenue, and Welfare Effects of the RCEP on China. </em>Original dataset was downloaded from Wold Bank (https://wits.worldbank.org/), and processed under different scenarios by the author based on nations / association, namely Australia, New Zealand, Japan, Korea and ASEAN.
DOI: 10.6084/m9.figshare.23709672.v1
title: dataset related to <b>Trade, Revenue and Welfare Effects of the RCEP on China</b>.zip

description: The dataset ( Excel files ) was generated for the article of <em>Trade, Revenue, and Welfare Effects of the RCEP on China. </em>Original dataset was downloaded from Wold Bank (https://wits.worldbank.org/), and processed under different scenarios by the author based on nations / association, namely Australia, New Zealand, Japan, Korea and ASEAN.
DOI: 10.25582/data.2022-04.2469101/2104203
title: Data for EMSL Project 51278 from April 2022
DOI: 10.25582/data.2022-04.2469279/2104204
title: Data for EMSL Project 51278 from April 2022
DOI: 10.25582/data.2022-04.2469608/2104205
title: Data for EMSL Project 51278 from April 2022
DOI: 10.25582/data.2022-03.2455697/2104206
title: Data for EMSL Project 51278 from March 2022
DOI: 10.4121/d8ee61c3-6ee6-4c81-8971-58169dd13d58
title: Literature review about Entertainment Education health campaigns, 1992-2022

description: The information collected aimed to create a state-of-the-art health communication campaign developed through the Entertainment Education strategy. This was obtained through two phases. The first corresponds to the bibliometric analysis from the search "Entertainment-Education" in both Scopus and WoS. The second phase reached to a content analysis of the articles that addressed the design, implementation and/or evaluation.
DOI: 10.4121/d8ee61c3-6ee6-4c81-8971-58169dd13d58.v1
title: Literature review about Entertainment Education health campaigns, 1992-2022

description: The information collected aimed to create a state-of-the-art health communication campaign developed through the Entertainment Education strategy. This was obtained through two phases. The first corresponds to the bibliometric analysis from the search "Entertainment-Education" in both Scopus and WoS. The second phase reached to a content analysis of the articles that addressed the design, implementation and/or evaluation.
DOI: 10.25582/data.2022-04.2468187/2104207
title: Data for EMSL Project 51278 from April 2022
DOI: 10.25582/data.2022-04.2469452/2104208
title: Data for EMSL Project 51278 from April 2022
DOI: 10.25582/data.2022-04.2470130/2104209
title: Data for EMSL Project 51278 from April 2022
DOI: 10.25582/data.2022-05.2509769/2104210
title: Data for EMSL Project 51278 from May 2022
DOI: 10.25582/data.2022-03.2455758/2104211
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-05.2510242/2104212
title: Data for EMSL Project 51278 from May 2022
DOI: 10.25582/data.2022-03.2455610/2104213
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-03.2463255/2104214
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2021-06.2253389/2104215
title: Data for EMSL Project 51278 from June 2021
DOI: 10.25582/data.2021-10.2369393/2104216
title: Data for EMSL Project 51278 from October 2021
DOI: 10.25582/data.2021-10.2369854/2104217
title: Data for EMSL Project 51278 from October 2021
DOI: 10.25582/data.2022-01.2418091/2104218
title: Data for EMSL Project 51278 from January 2022
DOI: 10.25582/data.2021-08.2296931/2104219
title: Data for EMSL Project 51278 from August 2021
DOI: 10.25582/data.2022-01.2424053/2104220
title: Data for EMSL Project 51278 from January 2022
DOI: 10.25582/data.2022-01.2421587/2104221
title: Data for EMSL Project 51278 from January 2022
DOI: 10.25582/data.2021-10.2369834/2104222
title: Data for EMSL Project 51278 from October 2021
DOI: 10.25582/data.2022-01.2423955/2104223
title: Data for EMSL Project 51278 from January 2022
DOI: 10.25582/data.2022-01.2424019/2104224
title: Data for EMSL Project 51278 from January 2022
DOI: 10.25582/data.2021-06.2252796/2104225
title: Data for EMSL Project 51278 from June 2021
DOI: 10.25582/data.2022-01.2422421/2104226
title: Data for EMSL Project 51278 from January 2022
DOI: 10.25582/data.2022-03.2448878/2104227
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-03.2459255/2104228
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2021-11.2387176/2104229
title: Data for EMSL Project 51278 from November 2021
DOI: 10.25582/data.2021-06.2253426/2104230
title: Data for EMSL Project 51278 from June 2021
DOI: 10.25582/data.2021-08.2296093/2104231
title: Data for EMSL Project 51278 from August 2021
DOI: 10.25582/data.2022-03.2456653/2104232
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2022-03.2448891/2104233
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2021-06.2254939/2104234
title: Data for EMSL Project 51278 from June 2021
DOI: 10.25582/data.2022-03.2448889/2104235
title: Data for EMSL Project 51278 from March 2022
DOI: 10.25582/data.2021-08.2296126/2104236
title: Data for EMSL Project 51278 from August 2021
DOI: 10.25582/data.2021-06.2253189/2104237
title: Data for EMSL Project 51278 from June 2021
DOI: 10.25582/data.2021-12.2390925/2104238
title: Data for EMSL Project 51278 from December 2021
DOI: 10.25582/data.2022-01.2420548/2104239
title: Data for EMSL Project 51278 from January 2022
DOI: 10.34740/kaggle/dsv/6736970
title: 📒 Meta Kaggle ported to MS SQL SERVER 2022 DB
DOI: 10.5281/zenodo.10020621
title: Data for "Common dynamic prior for time in auditory and visual interval timing"

description: Data for "Common dynamic prior for time in auditory and visual interval timing"
DOI: 10.5281/zenodo.10020620
title: Data for "Common dynamic prior for time in auditory and visual interval timing"

description: Data for "Common dynamic prior for time in auditory and visual interval timing"
DOI: 10.57841/casdc.0002914
title: 基于氧化还原工程处理氧化镍及其在钙钛矿电池和模组之中的研究-数据集
DOI: 10.5281/zenodo.8414621
title: Data compilation for "Label-free Imaging of Catalytic H2O2 Decomposition on Single Colloidal Pt Nanoparticles using Nanofluidic Scattering Microscopy"

description: Data compilation for "Label-free Imaging of Catalytic H2O2 Decomposition on Single Colloidal Pt Nanoparticles using Nanofluidic Scattering Microscopy"


This data set contains raw and evaluated data for the publication mentioned above and is structured into three parts which are packed as .zip files. The file labeled with MAIN 1 contains data for the figures 1 to 3 and MAIN 2 for figures 4 to 6 of the main manuscript. The file labeled with SI contains all data related to the supplementary information.


The data itself has three main types. There are .tif images which contain the raw darkfield microscopy images, usually as image stack of several single pictures. Some of these .tif images have been processed according to the description in the publication and single frames exported as .png images.
The .xlsx files contain the evaluated data that has been extracted from the microscopic images and was used to draw the corresponding graphs in the publication. The individual tables and the respective columns/rows have a basic labeling identifying their contents.
In addition, the data set also contains SEM/TEM images that show mainly the platinum particles used in the experiments. There is also one Comsol simulation for the flow in a nanochannel that is being filled with a bubble, which was created with Comsol 5.5.
DOI: 10.5281/zenodo.8414620
title: Data compilation for "Label-free Imaging of Catalytic H2O2 Decomposition on Single Colloidal Pt Nanoparticles using Nanofluidic Scattering Microscopy"

description: Data compilation for "Label-free Imaging of Catalytic H2O2 Decomposition on Single Colloidal Pt Nanoparticles using Nanofluidic Scattering Microscopy"


This data set contains raw and evaluated data for the publication mentioned above and is structured into three parts which are packed as .zip files. The file labeled with MAIN 1 contains data for the figures 1 to 3 and MAIN 2 for figures 4 to 6 of the main manuscript. The file labeled with SI contains all data related to the supplementary information.


The data itself has three main types. There are .tif images which contain the raw darkfield microscopy images, usually as image stack of several single pictures. Some of these .tif images have been processed according to the description in the publication and single frames exported as .png images.
The .xlsx files contain the evaluated data that has been extracted from the microscopic images and was used to draw the corresponding graphs in the publication. The individual tables and the respective columns/rows have a basic labeling identifying their contents.
In addition, the data set also contains SEM/TEM images that show mainly the platinum particles used in the experiments. There is also one Comsol simulation for the flow in a nanochannel that is being filled with a bubble, which was created with Comsol 5.5.
DOI: 10.5281/zenodo.10020629
title: ALMA detection of CO rotational line emission in red supergiant stars of the massive young star cluster RSGC1

description: Input files and data for the MESA simulations in the paper "ALMA detection of CO rotational line emission in red supergiant stars of the massive young star cluster RSGC1". Runs where performed with version r23.05.1 of the MESA code using the MESA SDK version x86_64-linux-22.6.1. Folder named "Decin" contains the simulation with the new mass loss rate described in the paper, while the folder named NdJ contains the input files for the simulation performed with the Nieuwenhuijzen & de Jager rates.
DOI: 10.5281/zenodo.10020628
title: ALMA detection of CO rotational line emission in red supergiant stars of the massive young star cluster RSGC1

description: Input files and data for the MESA simulations in the paper "ALMA detection of CO rotational line emission in red supergiant stars of the massive young star cluster RSGC1". Runs where performed with version r23.05.1 of the MESA code using the MESA SDK version x86_64-linux-22.6.1. Folder named "Decin" contains the simulation with the new mass loss rate described in the paper, while the folder named NdJ contains the input files for the simulation performed with the Nieuwenhuijzen & de Jager rates.
DOI: 10.15473/2202679
title: Wave Tank Characterization Data

description: This data set was collected from a 16k gallon single paddle type wave tank after adjustments were made to the transfer function in the control software. The file names describe the commanded wave height and period which can then be compared with the actual measured height and period of the generated waves.
DOI: 10.5281/zenodo.10020600
title: ERA5-Land selected indicators daily aggregates for the Latin America region, 1966

description: This deposit contains NetCDF files with daily aggregates from Copernicus Era5-Land eight selected indicators, covering the Latin America region, for 1966.
Each file represents one indicator aggregation for one month of the year. Inside each NetCDF file, the layers contain the daily aggregates.
For 2m dewpoint pressure, 10m u component of wind, 10m v component of wind, surface pressure, the mean function was used for aggregation. For total precipitation, the sum function was used for aggregation. For 2m temperature, the functions maximum, mean and minimum were used for aggregation.
Those files were created using the KrigR package.
DOI: 10.5281/zenodo.10020599
title: ERA5-Land selected indicators daily aggregates for the Latin America region, 1966

description: This deposit contains NetCDF files with daily aggregates from Copernicus Era5-Land eight selected indicators, covering the Latin America region, for 1966.
Each file represents one indicator aggregation for one month of the year. Inside each NetCDF file, the layers contain the daily aggregates.
For 2m dewpoint pressure, 10m u component of wind, 10m v component of wind, surface pressure, the mean function was used for aggregation. For total precipitation, the sum function was used for aggregation. For 2m temperature, the functions maximum, mean and minimum were used for aggregation.
Those files were created using the KrigR package.
DOI: 10.6084/m9.figshare.23524185
title: Raw data for the publication of Whole-transcriptome analysis reveals mechanisms underlying antibacterial activity and biofilm inhibition by a malic acid combination (MAC) in Pseudomonas aeruginosa

description: We provide the raw data for all our experimental results for the article entitled: Whole-transcriptome analysis reveals mechanisms underlying antibacterial activity and biofilm inhibition by a malic acid combination (MAC) in <em>Pseudomonas aeruginosa</em>.
DOI: 10.6084/m9.figshare.23524185.v1
title: Raw data for the publication of Whole-transcriptome analysis reveals mechanisms underlying antibacterial activity and biofilm inhibition by a malic acid combination (MAC) in Pseudomonas aeruginosa

description: We provide the raw data for all our experimental results for the article entitled: Whole-transcriptome analysis reveals mechanisms underlying antibacterial activity and biofilm inhibition by a malic acid combination (MAC) in <em>Pseudomonas aeruginosa</em>.
DOI: 10.6084/m9.figshare.23546118.v1
title: The regulatory landscape of the yeast phosphoproteome

description: Supplementary Table 1: Treatment, sample preparation and measurement information for all analyzed samples. Supplementary Table 2: Ultra-deep reference yeast phosphoproteome. Supplementary Table 3: Complete and not batch corrected, quantitative phosphosite datasets. Supplementary Table 4: Proteome quantitation of 30 selected perturbations and differential expression of proteins versus untreated. Supplementary Table 5: Batch corrected quantitative core phosphoproteome dataset. Supplementary Table 6: Differential expression of phosphosites in all perturbations versus the untreated control. Supplementary Table 7: Perturbation-specific phosphosites. Supplementary Table 8: Phosphosites associated with TOR subnetworks. Supplementary Table 9: Catalog of characterized, co-regulated phosphosites, assembled in modules.
DOI: 10.6084/m9.figshare.23546118
title: The regulatory landscape of the yeast phosphoproteome

description: Supplementary Table 1: Treatment, sample preparation and measurement information for all analyzed samples. Supplementary Table 2: Ultra-deep reference yeast phosphoproteome. Supplementary Table 3: Complete and not batch corrected, quantitative phosphosite datasets. Supplementary Table 4: Proteome quantitation of 30 selected perturbations and differential expression of proteins versus untreated. Supplementary Table 5: Batch corrected quantitative core phosphoproteome dataset. Supplementary Table 6: Differential expression of phosphosites in all perturbations versus the untreated control. Supplementary Table 7: Perturbation-specific phosphosites. Supplementary Table 8: Phosphosites associated with TOR subnetworks. Supplementary Table 9: Catalog of characterized, co-regulated phosphosites, assembled in modules.
DOI: 10.6084/m9.figshare.24115851.v1
title: Solar-driven waste-to-chemical conversion by wastewater-derived semiconductor biohybrids

description: we propose a strategy that co-utilize pollutants in wastewater to produce semiconductor biohybrids in-situ for scalable solar-to-chemical conversion
DOI: 10.6084/m9.figshare.21922107.v1
title: IODP U1404 GDGT results

description: GDGT fractional abundance, indices and carbon isotopic values from IODP Site U1404, North Atlantic.
DOI: 10.6084/m9.figshare.21922107
title: IODP U1404 GDGT results

description: GDGT fractional abundance, indices and carbon isotopic values from IODP Site U1404, North Atlantic.
DOI: 10.6084/m9.figshare.21782402.v1
title: Recharge net metering (ReNeM) is a novel, cost-effective management strategy to incentivize groundwater recharge

description: Code files and corresponding data tables capture the processes used to analyze the ReNeM program's economic implications.
DOI: 10.6084/m9.figshare.21782402
title: Recharge net metering (ReNeM) is a novel, cost-effective management strategy to incentivize groundwater recharge

description: Code files and corresponding data tables capture the processes used to analyze the ReNeM program's economic implications.
DOI: 10.25829/idiv.3554-ks7d98
title: Vegetation of Southern Patagonia in the 70s - Digitization of a gray literature dataset as a monitoring baseline in a changing world