cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/3354a16def7e7d06fb1c3de5f9a61d63
title: WSC - Water surface elevation (WSE) and water table depth (WTD) from 14 points at the Wibu field site, 2012-2013 growing seasons

description: Observation wells were installed for the purpose of continuously monitoring the water table level during the 2012 and 2013 growing seasons at the Wibu field site. These data were then used to study the yield response of corn to water table depth, soil texture, and growing season weather conditions (Zipper et al., in prep). The Wibu field site is a commercial agricultural field, which grew corn in the 2012, 2013, and 2014 growing seasons. See Zipper and Loheide (2014) Ag. For. Met. for more information about the field site. The 2012 growing season was characterized by severe drought, and the water table fell below the bottom of most wells in late June/early July.
DOI: 10.6073/pasta/830a475ab8a9c95fc1dcadff4ef2cd9d
title: WSC - Leaf area index (LAI) at various points within Wibu field site, 2012-2014

description: Leaf area index (LAI) measurements collected at various points within the Wibu field site between 2012-2014. Measurements were collected approximately weekly from plant emergence until appr. 1 month past the onset of senescence. The Wibu field site is a commercial agricultural field, which grew corn in the 2012, 2013, and 2014 growing seasons; therefore, these are all LAI values for corn. See Zipper and Loheide (2014) Ag. For. Met. for more information about the field site and use of the LAI data.
DOI: 10.6073/pasta/770727729b6e16ef192e7cd7028f6f1c
title: Interagency Ecological Program: Discrete water quality monitoring in the Sacramento-San Joaquin Bay-Delta, collected by the Environmental Monitoring Program, 1975-2021.

description: The Interagency Ecological Program’s (IEP) Environmental Monitoring Program (EMP) was initiated in compliance with the Water Right Decision D-1379 (now mandated by Water Right Decision D-1641) and has monitored discrete water quality and nutrients in the upper San Francisco Estuary since 1975. The objectives of the EMP are to obtain consistent and accurate monthly data at established monitoring stations, provide and document information necessary to achieve compliance with salinity, flow, and dissolved oxygen standards, and to report this information for the purpose of management and conservation of the upper San Francisco Estuary. While the EMP also collects biological data, this dataset only includes the discrete water quality and nutrient data collected by the EMP from 1975-2021.
DOI: 10.26180/10033046.v10
title: Police-involved deaths and homicides - data and analysis files

description: Analysis files and data for study of effect of police-involved civilian deaths on homicide rates. Includes csv of aggregated homicide and aggravated assault data for 44 US cities; an R project file; an R script for reproducible cleaning process; an interrupted time series analytical file, which also produces plots; a meta-analysis file, which also produces forest plots; records of police involved shootings with links to news reports. <br> <strong>To use:</strong> Download all into one folder and open the R project file with R using RStudio. I have tried to make these fully functional on their own to maximise reproducibility. You will likely need to download packages (but RStudio should prompt you to the ones that are missing). If you want to re-run the cleaning file, you will have to download the UCR and city crime data. I have provided links to these sources. Otherwise, everything should run out of the box!<br> <br> <strong>Disclaimer:</strong> I do not own the original data files from cities and UCR. While I have not included these case-level data, they are all publicly available and I have provided links, aside from Tampa which I acquired through a data request. I am happy to assist any interested researchers with getting the source data. <br> <strong>Update 17 June 2022:</strong> Previous versions did not include 'final protested list.rds', which is essential to run analyses. This is now added.
DOI: 10.6073/pasta/2e1206e6e2871aa6d995baf6d6b0dd94
title: WSC - Hourly meteorological data for Wibu field site, 2012-2013

description: Hourly measurements of incoming shortwave radiation, air temperature, relative humidity, precipitation, and wind speed for the Wibu field site. This is a site-specific synthesis of local monitoring equipment and the Arlington Automated Weather Observing Network station operated by UW Extension
DOI: 10.5519/qd.m3fgjjsx
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (15 records)
DOI: 10.6073/pasta/ac41ce1f72d1e8b516bb4bdd1e7173a5
title: WSC - Soil moisture, temperature, and water potential at Wibu field site

description: Soil moisture, temperature, and water potential measurements for 3 locations within Wibu field site: (1) WIBU-6, which is characterized by deep (greater than6 m) groundwater and coarse soil; (2) WIBU-7, which is characterized by intermediate (2-4 m) groundwater and intermediate soil; (3) WIBU-8, which is characterized by shallow (0-3 m) groundwater and fine soil. For more information about the soil and groundwater levels, see other datasets from this field site. The Wibu field site is a commercial agricultural field, which grew corn in the 2012, 2013, and 2014 growing seasons. See Zipper and Loheide (2014) Ag. For. Met. for more information about the field site.
DOI: 10.6073/pasta/31687ac8b75e8c0e6597b9e830c0f3e0
title: WSC - Yield and water table depth shapefiles from Wibu field site

description: Yield data from the Wibu field site combined with a variety of water table depth metrics (mean, percentiles, sum exceedance values, moving averages). It was collected as part of a study of the impacts of water table depth, soil texture, and growing season weather conditions on corn production at the Wibu field site, described in Zipper et al. (in review). The Wibu field site is a commercial agricultural field, which grew corn in the 2012, 2013, and 2014 growing seasons. See Zipper and Loheide (2014) Ag. For. Met. for more information about the field site.
DOI: 10.5517/ccdc.csd.cc2bcbqs
title: CCDC 2155855: Experimental Crystal Structure Determination

description: Related Article: Ning Song, Shaopeng Chen, Xiaowei Fan, Yuhui Tan, Yunzhi Tang, Lijuan Wang, Juan Liao, Zhen Sun|2022|CrystEngComm|24|3872|doi:10.1039/D2CE00438K
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: 10.6073/pasta/6c04d8f317470bb69c8547028f5ef863
title: LTREB Terrestrial data 2012 - current

description: Pitfall traps measure the activity density of ground-dwelling arthropod communities; Infall traps measure the deposition of flying insects Sticky Cards measure the amount of flying insects with distance from the shoreline. Emergence traps measure the quantity of emerging chironomids
DOI: 10.13011/m3-068f-a233
title: Supporting experimental datasets for Al-Cu microsegregation
DOI: 10.5281/zenodo.6414313
title: Topological phonon transport in an optomechanical system

description: This file contains the data and code for the paper "Topological phonon transport in an optomechanical system" (https://www.nature.com/articles/s41467-022-30941-0).
DOI: 10.5281/zenodo.6414312
title: Topological phonon transport in an optomechanical system

description: This file contains the data and code for the paper "Topological phonon transport in an optomechanical system" (https://www.nature.com/articles/s41467-022-30941-0).
DOI: 10.18112/openneuro.ds004117.v1.0.0
title: Sternberg Working Memory
DOI: 10.5281/zenodo.6654462
title: Dolutegravir in Real Life: self-reported mental and physical health outcomes after transitioning from efavirenz- to dolutegravir-based antiretroviral therapy in a prospective cohort study in Lesotho

description: Pseudonymized dataset for the accepted manuscript "<em>Dolutegravir in Real Life: self-reported mental and physical health outcomes after transitioning from efavirenz- to dolutegravir-based antiretroviral therapy in a prospective cohort study in Lesotho</em>"
DOI: 10.5281/zenodo.6654461
title: Dolutegravir in Real Life: self-reported mental and physical health outcomes after transitioning from efavirenz- to dolutegravir-based antiretroviral therapy in a prospective cohort study in Lesotho

description: Pseudonymized dataset for the accepted manuscript "<em>Dolutegravir in Real Life: self-reported mental and physical health outcomes after transitioning from efavirenz- to dolutegravir-based antiretroviral therapy in a prospective cohort study in Lesotho</em>"
DOI: 10.13011/m3-rn73-z951
title: Supporting experimental datasets for Al-Cu microsegregation
DOI: 10.17632/wc7f54nc5d.1
title: Riboregulation of Enolase 1 activity controls glycolysis and embryonic stem cell differentiation. Huppertz et al.

description: Differentiating stem cells must coordinate their metabolism and fate trajectories. We report here that the catalytic activity of the glycolytic enzyme enolase 1 (ENO1) is directly regulated by RNAs leading to metabolic rewiring in mouse embryonic stem cells (mESC). We identify RNA ligands that specifically inhibit ENO1’s enzymatic activity in vitro and diminish glycolysis in cultured human cells and mESCs. Pharmacological inhibition or RNAi-mediated depletion of the protein deacetylase SIRT2 increases ENO1’s acetylation and enhances its RNA binding. Similarly, induction of mESC differentiation leads to increased ENO1 acetylation, enhanced RNA binding and inhibition of glycolysis. Stem cells expressing mutant forms of ENO1 that escape or hyper-activate this regulation display impaired germ layer differentiation. Our findings uncover acetylation-driven riboregulation of ENO1 as physiological mechanism of glycolytic control and of the regulation of stem cell differentiation. Riboregulation may represent a more widespread principle of biological control.
DOI: 10.17632/sm6tnbthxy.1
title: Summary files

description: Dataset S1: COPILOT summary files of col0 toy data, col0 full data, and PBMC data.
Dataset S2: CellRanger v6.1.2 summary files of col0 toy data, col0 full data, and PBMC data.
DOI: 10.17632/bkvcff9dw8.2
title: Detection of organic carbon in Mars-analog paleosols with thermal and evolved gas analysis

description: This study examined the organic carbon content of ~30 million Mars-relevant paleosols with an instrument configured to operate like the Sample Analysis at Mars - Evolved Gas Analysis (SAM-EGA) instrument onboard Curiosity Mars Rover. The files in this data set include the raw TG-DSC-EGA data generated with two instruments, and serve as supplemental materials to the corresponding manuscript.

A Setaram Labsys Evo differential scanning calorimeter (DSC) / thermal gravimeter (TG) connected to a Pfeiffer Omnistar quadrupole mass spectrometer (QMS) was configured to operate similarly to the SAM evolved gas analyzer. The SAM instrument does not have TG/DSC capabilities, but these components permit a better understanding of phase transitions and chemical reactions in laboratory experiments. Approximately 50 mg ± 3 mg of ground paleosol sample were placed in an Al2O3 sample crucible. The sample crucible and an identical empty reference crucible were placed in the furnace and then the system was purged twice with helium gas and set to a pressure of 30 mbar. Helium was chosen as a carrier gas because it is inert and because it used as a carrier gas in the SAM instrument. The crucibles were heated from approximately 35 °C to 1000 °C at a heating rate of 35°C/min and at a flow rate of 10 sccm. Volatiles ranging from mass/charge (m/z) 1 - 100 were measured. 

Next, total organic carbon (TOC) content was determined using a Netzsch TG/DSC coupled to a Pfeiffer QMS. An Al2O3 sample crucible and an identical reference crucible were placed in the furnace. The instrument was purged twice with ultra-high purity O2 and set to a pressure of 1000 mbar prior to sample analyses to remove any contamination in the system. Oxygen was chosen as a carrier gas because it encourages complete combustion of all organic and inorganic carbon in samples. The crucibles containing samples were heated from approximately 35 °C to 1000 °C at a heating rate of 35°C/min and at a flow rate of 19 ml O2/min. A series of three blanks were analyzed before and after each group (n=10) of samples. A calibration curve for CO2 was created by analyzing a calcite standard (Iceland sparry calcite 40 ųM) at eight sample masses ranging from 0.01 – 4 mg. This calibration curve was used to calculate the amount of CO2 evolved from each sample, and these values were used to calculate total carbon in each sample.
Carbon was considered organic between 150-550° C and inorganic from ~700-900° C. Total organic carbon was quantified by deconvolving CO2 peaks if a carbonate-C peak was present. This was done by determining the relative percentage of peak area from inorganic carbon-evolved CO2 (~700-900° C) then subtracting this value from total carbon-evolved CO2 peak area to solve for TOC. All evolved gas plots were background-corrected to account for possible atmospheric contamination.
DOI: 10.17632/f3rgg76gcd.1
title: Web of Science Engineering Dataset

description: This dataset contains information about journals in the field of engineering available on the web of science.

The fields are as follows:
- Paper
- Publisher
- ISSN / eISSN	
- Web of Science Core Collection	
- Additional Web of Science Indexes	
- Aims and Scope	
- Indexing and Abstracting
DOI: 10.17632/gvjfpndvjj.1
title: Water Resources Research_Stormwater hypothetical bias_Fleming & Savchenko 2022

description: Household survey of stormwater mangement practice adoption and willingness to pay. This survey is analyzed in the paper Fleming, P. M., & Savchenko, O. M. (2022). Intention versus action: Household adoption of best management practices for water quality. Water Resources Research, 58, e2021WR029684.
DOI: 10.6084/m9.figshare.19097021
title: Unilateral Kidney Agenesis analysis in rat

description: It includes the phenotypes for the Unilateral Kidney Agenesis analysis
DOI: 10.6084/m9.figshare.19097021.v1
title: Unilateral Kidney Agenesis analysis in rat

description: It includes the phenotypes for the Unilateral Kidney Agenesis analysis
DOI: 10.5281/zenodo.6654420
title: Processed Seurat Object of scRNAseq data from wildtype and CaMKK2 KO immune infiltrate of CT2a preclinical murine glioma

description: This repository contains the processed Seurat objects generated from the raw data deposited at the Gene Expression Omnibus (GEO) under GSE197879. Details about the experiment and sequencing are available under GSE197879. Information on how the Seurat objects were created can be found in this GitHub repository https://github.com/wht10/CT2A_scRNAseq_CaMKK2KOvWT . Notable metadata within each Seurat object: 1. Processed_CD45_Live_Fig2b.rds Genotype - whether the cell is from a WT or CaMKK2 KO mouse HTO_maxID - The biological replicate that the cell came from (4 biological replicates per genotype) MouseID - A concatenation between the genotype and HTO_maxID, providing a unique identifier for each biological replicate Cell.Type - The cell type annotations for each cell. Can be assigned to "Idents()" to change the name of the cell identities. Geno.Ident - A concatenation between Genotype and Cell.Type. By re-assigning this to "Idents()" "FindMarkers()" can be used to investigate differentially expressed genes within a cell-type between genotypes. 2. Reclustered_TILs_Fig3a.rds Genotype - whether the cell is from a WT or CaMKK2 KO mouse HTO_maxID - The biological replicate that the cell came from (4 biological replicates per genotype) MouseID - A concatenation between the genotype and HTO_maxID, providing a unique identifier for each biological replicate Celltype - The cell type annotations for each cell. Can be assigned to "Idents()" to change the name of the cell identities. Geno_Ident - A concatenation between Genotype and cell-type. By re-assigning this to "Idents()" "FindMarkers()" can be used to investigate differentially expressed genes within a cell-type between genotypes.
DOI: 10.5281/zenodo.6654419
title: Processed Seurat Object of scRNAseq data from wildtype and CaMKK2 KO immune infiltrate of CT2a preclinical murine glioma

description: This repository contains the processed Seurat objects generated from the raw data deposited at the Gene Expression Omnibus (GEO) under GSE197879. Details about the experiment and sequencing are available under GSE197879. Information on how the Seurat objects were created can be found in this GitHub repository https://github.com/wht10/CT2A_scRNAseq_CaMKK2KOvWT . Notable metadata within each Seurat object: 1. Processed_CD45_Live_Fig2b.rds Genotype - whether the cell is from a WT or CaMKK2 KO mouse HTO_maxID - The biological replicate that the cell came from (4 biological replicates per genotype) MouseID - A concatenation between the genotype and HTO_maxID, providing a unique identifier for each biological replicate Cell.Type - The cell type annotations for each cell. Can be assigned to "Idents()" to change the name of the cell identities. Geno.Ident - A concatenation between Genotype and Cell.Type. By re-assigning this to "Idents()" "FindMarkers()" can be used to investigate differentially expressed genes within a cell-type between genotypes. 2. Reclustered_TILs_Fig3a.rds Genotype - whether the cell is from a WT or CaMKK2 KO mouse HTO_maxID - The biological replicate that the cell came from (4 biological replicates per genotype) MouseID - A concatenation between the genotype and HTO_maxID, providing a unique identifier for each biological replicate Celltype - The cell type annotations for each cell. Can be assigned to "Idents()" to change the name of the cell identities. Geno_Ident - A concatenation between Genotype and cell-type. By re-assigning this to "Idents()" "FindMarkers()" can be used to investigate differentially expressed genes within a cell-type between genotypes.
DOI: 10.6084/m9.figshare.17029715
title: HEALING Study Beres et al - F1000Research - extended data

description: Healing through faith: meeting a chaplain coupled with biblical readings could produce lymphocyte changes that correlate with brain activity (HEALING study) - extended data
DOI: 10.6084/m9.figshare.17029715.v2
title: HEALING Study Beres et al - F1000Research - extended data

description: Healing through faith: meeting a chaplain coupled with biblical readings could produce lymphocyte changes that correlate with brain activity (HEALING study) - extended data
DOI: 10.5517/ccdc.csd.cc27pw50
title: CCDC 2076602: Experimental Crystal Structure Determination

description: Related Article: Satyam Jena, Akkarakkaran Thayyil Muhammed Munthasir, Pakkirisamy Thilagar|2022|J.Mater.Chem.C|10|9124|doi:10.1039/D2TC01318E
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.cc27pw61
title: CCDC 2076603: Experimental Crystal Structure Determination

description: Related Article: Satyam Jena, Akkarakkaran Thayyil Muhammed Munthasir, Pakkirisamy Thilagar|2022|J.Mater.Chem.C|10|9124|doi:10.1039/D2TC01318E
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.cc27pw72
title: CCDC 2076604: Experimental Crystal Structure Determination

description: Related Article: Satyam Jena, Akkarakkaran Thayyil Muhammed Munthasir, Pakkirisamy Thilagar|2022|J.Mater.Chem.C|10|9124|doi:10.1039/D2TC01318E
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.cc27pwb5
title: CCDC 2076607: Experimental Crystal Structure Determination

description: Related Article: Satyam Jena, Akkarakkaran Thayyil Muhammed Munthasir, Pakkirisamy Thilagar|2022|J.Mater.Chem.C|10|9124|doi:10.1039/D2TC01318E
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.cc27pxwr
title: CCDC 2076655: Experimental Crystal Structure Determination

description: Related Article: Satyam Jena, Akkarakkaran Thayyil Muhammed Munthasir, Pakkirisamy Thilagar|2022|J.Mater.Chem.C|10|9124|doi:10.1039/D2TC01318E
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.cc27qbw6
title: CCDC 2077058: Experimental Crystal Structure Determination

description: Related Article: Satyam Jena, Akkarakkaran Thayyil Muhammed Munthasir, Pakkirisamy Thilagar|2022|J.Mater.Chem.C|10|9124|doi:10.1039/D2TC01318E
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.cc27r5gn
title: CCDC 2077851: Experimental Crystal Structure Determination

description: Related Article: Satyam Jena, Akkarakkaran Thayyil Muhammed Munthasir, Pakkirisamy Thilagar|2022|J.Mater.Chem.C|10|9124|doi:10.1039/D2TC01318E
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.cc29bdln
title: CCDC 2125161: Experimental Crystal Structure Determination

description: Related Article: Jing Li, Ke-Xin Ma, Yan Yang, Hua Yang, Jing Lu, Da-Cheng Li, Jian-Min Dou, Hui-Yan Ma, Su-Na Wang, Yun-Wu Li|2022|J.Mater.Chem.C|10|8979|doi:10.1039/D2TC01610A
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.