cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2ft6s8
title: CCDC 2258560: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, J.D. Kennedy, N. Sriprang, P.K. Dosangh, S.J. Milne, P.A. Cooke|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ft6vb
title: CCDC 2258562: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, J.D. Kennedy, N. Sriprang, P.K. Dosangh, S.J. Milne, P.A. Cooke|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fvld9
title: CCDC 2259881: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fvsrv
title: CCDC 2260078: Experimental Crystal Structure Determination

description: Related Article: Sainath Babu, Frank R. Fronczek, Rao M. Uppu, Michelle O. Claville|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.22791845.v1
title: Data for Aspergillus seropositivity and chronic pulmonary aspergillosis in Sierra Leone

description: This data describes the prevalence of Aspergillus seropositivity and chronic pulmonary aspergillosis in Sierra Leone
DOI: 10.6084/m9.figshare.22791845
title: Data for Aspergillus seropositivity and chronic pulmonary aspergillosis in Sierra Leone

description: This data describes the prevalence of Aspergillus seropositivity and chronic pulmonary aspergillosis in Sierra Leone
DOI: 10.6084/m9.figshare.22778228
title: Short study data- Padmashri.csv

description: Data is regarding role of tumor budding in early diagnosis of oral squamous cell carcionma cases.
DOI: 10.6084/m9.figshare.22778228.v1
title: Short study data- Padmashri.csv

description: Data is regarding role of tumor budding in early diagnosis of oral squamous cell carcionma cases.
DOI: 10.26179/fs18-dk04
title: International circumpolar compilation of nutrient concentration data from Antarctic land-fast sea ice
DOI: 10.5283/epub.53987
title: Data archive of "You can(’t) always get what you want: When goal persistence requires flexibility"

description: Raw data files with description/ Rohdaten mit Beschreibung. The main article "You can(’t) always get what you want: When goal persistence requires flexibility" is published in the journal Motivation Science.
DOI: 10.6084/m9.figshare.22790810.v1
title: Metadata for Datasets and Relationships

description: This dataset contains two tables. One table contains metadata for "citable" datasets (datasets that have either a DOI or a compact identifier). The other table contains the relationships between each pair of datasets in the first table. <br> We generated this corpus of dataset metadata by crawling the Web to find pages with schema.org or DCAT metadata indicating that the page contains a dataset. The metadata for datasets includes information such as the dataset’s name, description, provider, creation date, Digital Object Identifiers (DOI), and more. Out of the 46 million dataset pages that have schema.org, we publish this subset of 4.3 million dataset-metadata entries that are citable. We also include an additional table on relationships between these datasets.
DOI: 10.26036/cnp0004308
title: full length transcriptome of Elymus sibiricus

description: The full length transcriptome of Elymus sibiricus was sequenced.
DOI: 10.6084/m9.figshare.16641034
title: Dataset - Electrochemical Cells from Water Ice

description: Dataset from "Electrochemical Cells from Water Ice"<br>
DOI: 10.6084/m9.figshare.16641034.v1
title: Dataset - Electrochemical Cells from Water Ice

description: Dataset from "Electrochemical Cells from Water Ice"<br>
DOI: 10.25934/pr00005068.0
title: Available IPD datapackage for study 'A Phase 3, Randomized Study Of SU011248 Versus Interferon-Alfa As First-Line Systemic Therapy For Patients With Metastatic Renal Cell Carcinoma'

description: The purpose of this study is to test whether SU011248 has activity and is safe compared to interferon-alfa as first-line therapy in patients with metastatic renal cell carcinoma (RCC).
DOI: 10.25934/pr00008807
title: Evaluation of dose individualization strategies in optimizing survival and patient-reported outcomes of sunitinib treatment in patients with metastatic renal cell carcinoma

description: Renal cell carcinoma (RCC) is a type of cancer that affects the kidney. According to Global Cancer Observatory (GLOBOCAN) data, in 2020, over 400,000 new cases of RCC were diagnosed, and around 180,000 people died from the disease. People with metastatic RCC (mRCC, when tumor has spread to other parts of their body) used to have a low chance of surviving for 5 years of 7.3% (during 1992-1995), but now, thanks to new medicines, the survival rate has improved to around 14% (during 2011-2017).
Sunitinib is a drug that has been approved for treating mRCC for more than 15 years. It is currently the most cost-effective initial (first-line) treatment for this type of cancer. However, how sunitinib is processed by the body can vary greatly among different patients, and we do not fully understand why. In a study of 60 mRCC patients taking a fixed dose of 50mg of sunitinib every day, the amount of the drug found in their blood plasma varied widely, ranging from 24.5 to 209.4 nanograms per milliliter. This big variability in blood concentration is problematic, since studies have shown that patients with lower levels of sunitinib in their blood may have a lower chance of responding to the treatment and thus lower chance of survival, and that giving them a higher dose may help. However, if the dose is too high, it can cause serious side effects that not only make the treatment less effective but also lower the patient's quality of life.
Doctors and researchers have been looking into ways to personalize the dose of sunitinib for patients with mRCC instead of giving the same dose to everyone. But there isn't much clear evidence on how to do this yet, and there aren't many guidelines or tools to help making these personalized dosing decisions. Therefore, this study aims to gather and analyse patient level data collected across different previously conducted clinical trials to see if there are certain factors, such as the amount of sunitinib in plasma or other indicators in the blood (biomarkers), that can help predict how well a patient will respond to sunitinib treatment. 
In this study, we want to explore the inclusion of the perspective and experiences of patients as an important factor when evaluating predictors of treatment outcomes, alongside side effects reported by doctors and survival. Patient-reported outcomes (PROs) are data collected from patients about how they feel during treatment, such as improvement in symptoms related to the disease, any side effects they experience that is hard to tolerate, and their quality of life. By looking at patient level data that includes information about how much of the drug is in their system, any changes in their biomarkers, and their PROs over time, we hope to better understand how we can personalize sunitinib treatment to fit the needs and experiences of each mRCC patient.
DOI: 10.25934/pr00006800.0
title: Available IPD datapackage for study 'A Phase II Efficacy And Safety Study Of Sunitinib Malate (SU011248) Administered In A Continuous Daily Regimen In Patients With Advanced (First-Line) Renal Cell Cancer'

description: A phase II study to allow patients with advanced kidney cancer access to sunitinib malate treatment and to find out the good and bad effects of taking 37.5 mg sunitinib malate in a continuous daily regimen (once per day) for one year.
DOI: 10.25934/pr00006802.0
title: Available IPD datapackage for study 'Phase II Study Of Single-Agent SU011248 In The Treatment Of Patients With Renal Cell Carcinoma'

description: To determine the objective tumor response of single-agent SU011248 at a dose of 50 mg orally once daily for 4 consecutive weeks and 2 weeks rest, repeated every 6 weeks in patients with metastatic Renal Cell Cancer (RCC).
DOI: 10.6084/m9.figshare.19948007.v7
title: Database of human well-being and eco-sustainability under planetary pressures of the Belt and Road 1990-2018

description: The database contains 29,621 data records and four core datasets of consumption, pressure, output and efficiency, and one related dataset, covering both sustainability and development aspects of sustainable development. That is, · Consumption dataset, including EF per capita, the Normalization of EF, and the adjusted normalization of EF of 61 B&R countries, B&R regional average and global average from 1990-2018. · Pressure dataset, including CDE per capita and its index, MF per capita and its index, <em>A</em>, and <em>P</em> of 61 B&R countries, B&R regionsal average and global average from 1990-2019. · Output dataset, including HDI and PHDI of 61 B&R countries, B&R regional average and global average from 1990-2019. · Efficiency dataset, including AEWP of 61 B&R countries, B&R regional average and global average from 1990-2018. · Other dataset, including BC per capita, ES/ED per capita, and population of 61 B&R countries, B&R regions and globally from 1990-2018/2019.
DOI: 10.25934/pr00006799.0
title: Available IPD datapackage for study 'A Randomized Phase II Study Of The Efficacy And Safety Of Sunitinib Malate Schedule 4/2 vs. Sunitinib Malate Continuous Dosing As First-Line Therapy For Metastatic Renal Cell Cancer (Renal EFFECT Trial)'

description: This trial has two parts. The purpose of the first part of the trial is to determine the doses of 2 drugs, sunitinib malate and interferon alfa-2b, that can be given safely in combination. This part is currently closed to enrollment. The purpose of the second part of the trial is to see if sunitinib malate given on a 4/2 schedule (4 weeks on treatment, 2 weeks off treatment cycle) is any better at delaying progression of renal cell cancer than sunitinib malate given on a continuous dosing schedule. The trial will also determine the number of patients whose cancer responds to the treatments, whether life of patients can be extended, what the side effects are of the treatments, how bothersome disease or treatment-related symptoms are to patients, and whether tests can be found that will predict which patients may or may not respond to these treatments in the future.
DOI: 10.25934/pr00006801.0
title: Available IPD datapackage for study 'A Phase 2 Efficacy And Safety Study Of SU011248 Administered In A Continuous Daily Regimen In Patients With Cytokine-Refractory Metastatic Renal Cell Carcinoma'

description: To evaluate the anti-tumor activity of SU011248 (sunitinib) in cytokine-refractory metastatic renal cell carcinoma (RCC) when administered in a continuous treatment regimen
DOI: 10.5281/zenodo.7643879
title: data for paper "Time-resolved Coulomb collision of single electrons"

description: Data for "Time-resolved Coulomb Collision of single electrons"
DOI: 10.5281/zenodo.7643880
title: data for paper "Time-resolved Coulomb collision of single electrons"

description: Data for "Time-resolved Coulomb Collision of single electrons"
DOI: 10.6084/m9.figshare.22274953
title: new post research from year 2019.pdf

description: Research finding - Save Lake Balkhash International Research
DOI: 10.6084/m9.figshare.22274953.v2
title: new post research from year 2019.pdf

description: Research finding - Save Lake Balkhash International Research
DOI: 10.6084/m9.figshare.22274953.v1
title: new post research from year 2019.pdf

description: Research finding - Save Lake Balkhash International Research
DOI: 10.3886/e113890v1-138520
title: Replication data for: The Global Economics of Water: Is Water a Source of Comparative Advantage?

description: With newly available data, I investigate to what extent countries' international trade exploits the very uneven water resources on a global scale. I find that water is a source of comparative advantage and that relatively water abundant countries export more water-intensive products. Additionally, water contributes significantly less to the pattern of exports than the traditional production factors labor and physical capital. This suggests relatively moderate disruptions to overall trade on a global scale due to changing precipitation in the wake of climate change.
DOI: 10.6084/m9.figshare.22032743
title: Dataset and code for "Climate warming interacts with other global change drivers to influence plant phenology: a meta-analysis of experimental studies"

description: This is a dataset for the meta-analysis of "<strong>Climate warming interacts with other global change drivers to influence plant phenology: a meta-analysis of experimental studies</strong>". We found widespread interaction effects between global change drivers on multiple plant phenophases. The interactions W+IP and W+eCO<sub>2</sub> were frequently synergistic, whereas the interactions W+N and W+DP were mostly antagonistic. Using Web of Science, Google Scholar and the China National Knowledge Infrastructure, we collected a total of 9571 observations from 242 peer-reviewed articles that reported changes in plant sequential phenophases (leaf out, first flowering, fruiting and leaf coloring) under experimental manipulations of warming (W) and other global change drivers, including increased precipitation (IP), decreased precipitation (DP), nitrogen addition (N), and elevated CO<sub>2</sub> concentration (eCO<sub>2</sub>), from 1990 until 2022. These global change experiments were located from 43.6° S to 79.1° N. We used a widely accepted bias-corrected method to quantify individual effects and the combined effects of global change drivers on plant sequential phenophases (effect size: Hedges' <em>g</em>). The interactive effect and main effect for judging the interaction types of combined effect were calculated as Hedges' <em>d</em>. All the statistical analysis were implemented in <em>R</em> version 4.2.2. The dataset and <em>R</em> code were both uploaded.
DOI: 10.6084/m9.figshare.22776362.v1
title: Xian., Data for “ Modulation of deep neural circuits with sonogenetics ”

description: Data files from " Modulation of deep neural circuits with sonogenetics " Xian et al 2023
DOI: 10.6084/m9.figshare.22656769
title: Global Urban Network City Subzone Attributes

description: This repository provides aggregated subzone statistics of global cities. Each dataset is computed via the Urbanity Python package. We include indicators spanning domains such as building morphology, street view imagery, urban population, and points of interest. <br> This dataset omits geometry information and only contains attribute properties. We release an accompanying dataset that includes geometry information. <br> <br>
DOI: 10.6084/m9.figshare.22656769.v3
title: Global Urban Network City Subzone Attributes

description: This repository provides aggregated subzone statistics of global cities. Each dataset is computed via the Urbanity Python package. We include indicators spanning domains such as building morphology, street view imagery, urban population, and points of interest. <br> This dataset omits geometry information and only contains attribute properties. We release an accompanying dataset that includes geometry information. <br> <br>
DOI: 10.6084/m9.figshare.22656769.v2
title: Global Urban Network City Subzone Attributes

description: This repository provides aggregated subzone statistics of global cities. Each dataset is computed via the Urbanity Python package. We include indicators spanning domains such as building morphology, street view imagery, urban population, and points of interest. <br> This dataset omits geometry information and only contains attribute properties. We release an accompanying dataset that includes geometry information. <br> <br>
DOI: 10.6084/m9.figshare.22792583
title: Supplementary Data 4

description: The Supplementary Data 1 file contains the R script used to generate all subsequent data, statistical and graphical outputs.
DOI: 10.17632/jcp39t23dk.1
title: Metagenome  221024

description: Metagenome, mouse microbiome
DOI: 10.4121/1aac46fb-7900-4d4c-a099-d2ce354811d2
title: 4D spatio-temporal laser scan dataset of the beach-dune system in Noordwijk, NL

description: From July 2019 to June 2022 a stationary laser scanner, installed on top of the balcony of Grand Hotel Huis ter Duin was used to survey the beach-dune system at the coast in Noordwijk, The Netherlands. The observed area is about 1000 m long and, depending on the tides, about 350 m wide and includes dunes and a sandy beach.A total of 21812 hourly scans were obtained from July 11<sup>th</sup> 2019, 14:00 until June 21<sup>st</sup> 2022, 12:00. Each scan produces a 3D point cloud containing about 4 million points depending on atmospheric conditions and the tide-dependent width of the beach. Additional attributes such as the laser return intensity are available for each individual 3D point record.
DOI: 10.4121/1aac46fb-7900-4d4c-a099-d2ce354811d2.v1
title: 4D spatio-temporal laser scan dataset of the beach-dune system in Noordwijk, NL

description: From July 2019 to June 2022 a stationary laser scanner, installed on top of the balcony of Grand Hotel Huis ter Duin was used to survey the beach-dune system at the coast in Noordwijk, The Netherlands. The observed area is about 1000 m long and, depending on the tides, about 350 m wide and includes dunes and a sandy beach.A total of 21812 hourly scans were obtained from July 11<sup>th</sup> 2019, 14:00 until June 21<sup>st</sup> 2022, 12:00. Each scan produces a 3D point cloud containing about 4 million points depending on atmospheric conditions and the tide-dependent width of the beach. Additional attributes such as the laser return intensity are available for each individual 3D point record.
DOI: 10.17632/rrgsthb38d.1
title: RNAseq 221024

description: RNAseq analysis, control
DOI: 10.17632/75njdc846m.1
title: HydRA: Deep-learning models for predicting RNA-binding capacity from protein interaction association context and protein sequence

description: The images of western blot and eCLIP (RNA isolation, gel size selection, or eCT quantification) for YWHAG, YWHAH, YWHAE, YWHAZ, HSP90a, INO80B, PIAS4, NR5A1, ACTN3, and MCCC1. The western blot images for the domain-deleted version of INO80B, PIAS4, NR5A1, ACTN3, and MCCC1 were also included.
DOI: 10.17632/9v3jmt95n9.1
title: Supplementary data -3

description: Hyper-elastic model data
DOI: 10.17632/9v3jmt95n9.2
title: Supplementary data -3

description: Hyper-elastic model data
DOI: 10.17632/mbm6jnk55d.1
title: Dataset on Morphometric Evaluation of Three Solanum sp. (eggplants) in Preliminary Field Collection in Southern Nigeria

description: 
Ninety-five (95) accessions of eggplants were collected and characterized during a preliminary field trip across three major sampling areas (Southwest, Southeast, and South south) in Southern Nigeria. Eggplant  was characterized using standard eggplant morphological descriptor. The qualitative and quantitative data obtained from the morphological assessment were subjected to descriptive statistics, Analysis of Variance (ANOVA), Principal Component (PC) analysis, cluster analysis, and correlation analysis. The data set provides insight into the (inter-and intraspecific) relationships among the accessions in Southern Nigeria that is important for scientists and breeders alike as well as for the conservation of eggplant species.
South-south
DOI: 10.17632/4nwtm4k25c.1
title: Downscaled IMERG precipitation for Kocinka River catchment, Poland

description: Downscaled at 1km of the IMERG daily precipitation for Kocinka River catchment, Poland in netcdf format for the period 01/2015 to 11/2022
DOI: 10.17632/gpxrcb6t65.1
title: Downscaled IMERG precipitation for Temmesjoki catchment, Finland

description: Downscaled at 1km of the IMERG daily precipitation for Temmesjoki catchment, Finland in netcdf format, for the period 01/2015 to 11/2022
DOI: 10.17632/mvsc6cznrm.1
title: Supporting Information for Version 2.0.0 - SPARC: Simulation Package for Ab-initio Real-space Calculations

description: SPARC is an accurate, efficient, and scalable real-space electronic structure code for performing ab initio Kohn-Sham density functional theory calculations. The dataset here corresponds to the examples and tests studied in the paper titled "Version 2.0.0 - SPARC: Simulation Package for Ab-initio Real-space Calculations"
DOI: 10.17632/kvp9hkxpyh.1
title: ZIKV_Alignment_Final

description: Alignment of UTRs of Colombian MH544701.2 and Puerto Rico ATCCVR-1843 with other reference Zika virus strains. Note the cysteine polymorphism in the last nucleotide for region 3' UTR.