cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21233/yp8w-v170
title: Mannikjarve testate amoebae surface sample dataset

description: Raw data for the Mannikjarve testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/06n2-kn77
title: East Delaney Reservoir water chemistry dataset

description: Raw data for the East Delaney Reservoir water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/82qr-sd69
title: Oxnop Moor testate amoebae surface sample dataset

description: Raw data for the Oxnop Moor testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.25345/c5j960d64
title: MassIVE Reanalysis RMSV000000628.1 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080281/PXD001200 [1 out of 2]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.18735/w9qc-9h39
title: Reproducibility Paper Data: Data and analysis package for the draft manuscript that assesses reporting and reproducibility across a cohort of literature-based knee modeling studies. The package contains the raw data, which are the reviews performed by the KneeHub team members, and the corresponding statistical analysis.

description: Reproducible research serves as a pillar of the scientific method and is a foundation for scientific advancement. However, estimates for irreproducibility of preclinical science range from 75% to 90%. The importance of reproducible science has not been assessed in the context of mechanics-based modeling of human joints such as the knee, despite this being an area that has seen dramatic growth. Framed in the context of five experienced teams currently documenting knee modeling procedures, the aim of this work was to evaluate reporting and the perceived potential for reproducibility across studies the teams viewed as important contributions to the literature. A cohort of studies was selected by polling, which resulted in an assessment of nine studies as opposed to a broader analysis across the literature. Using a published checklist for reporting of modeling features, the cohort was evaluated for both “reporting” and their potential to be “reproduced”, which was delineated into six major modeling categories and three subcategories. Logistic regression analysis revealed that for individual modeling categories, the proportion of “reported” occurrences ranged from 0.31, 95% confidence interval (CI) [0.23, 0.41] to 0.77, 95% CI [0.68, 0.86]. The proportion of whether a category was perceived as “reproducible” ranged from 0.22, 95% CI [0.15, 0.31] to 0.44, 95% CI [0.35, 0.55]. The relatively low ratios highlight an opportunity to improve reporting and reproducibility of knee modeling studies. Ongoing efforts, including our findings, contribute to a dialogue that facilitates adoption of practices that provide both credibility and translation possibilities.
DOI: 10.21233/3t8p-3h57
title: Ciocanesti-Botos pollen dataset

description: Raw data for the Ciocanesti-Botos pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/jae8-ay85
title: Caspian Lake water chemistry dataset

description: Raw data for the Caspian Lake water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/pthh-pq13
title: Community Lake water chemistry dataset

description: Raw data for the Community Lake water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.5281/zenodo.5795467
title: Late-onset focal epilepsy: electroclinical features and prognostic role of leukoaraiosis

description: <strong>Introduction</strong> This database includes the raw data linked with the paper “Late-Onset Focal Epilepsy: Electroclinical Features And Prognostic Role Of Leukoaraiosis ” published on “Frontiers in Neurology”. In this paper, we reported the clinical, EEG, neuroimaging and prognostic characteristics of new-onset elderly focal epilepsy outpatients aged ≥ 60 years referred to a tertiary epilepsy center between 2005 and 31 December 2020. <strong>Methods</strong> Among the 720 patients referred to the center, we retrospectively selected 162 consecutive outpatients with a first referral for recent-onset focal epilepsy of unknown cause (UC) or structural cause (SC), and collected clinical, standard-EEG (S-EEG), 24-hour ambulatory EEG (A-EEG), and neuroimaging data, in particular for the evaluation of leukoaraiosis. We also analyzed seizure prognosis after titration of the first antiseizure medication (ASM). <strong>Results</strong> Late-onset focal epilepsy of unknown cause, with respect to symptomatic epilepsy, shows characteristics that together suggest a temporal lobe origin of the seizures, and has a significantly better prognosis than symptomatic forms. The presence of leukoaraiosis on neuroimaging significantly worsens the seizure prognosis as an independent factor.
DOI: 10.21233/814h-7t41
title: Pishkun Reservoir water chemistry dataset

description: Raw data for the Pishkun Reservoir water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.5281/zenodo.5795466
title: Late-onset focal epilepsy: electroclinical features and prognostic role of leukoaraiosis

description: <strong>Introduction</strong> This database includes the raw data linked with the paper “Late-Onset Focal Epilepsy: Electroclinical Features And Prognostic Role Of Leukoaraiosis ” published on “Frontiers in Neurology”. In this paper, we reported the clinical, EEG, neuroimaging and prognostic characteristics of new-onset elderly focal epilepsy outpatients aged ≥ 60 years referred to a tertiary epilepsy center between 2005 and 31 December 2020. <strong>Methods</strong> Among the 720 patients referred to the center, we retrospectively selected 162 consecutive outpatients with a first referral for recent-onset focal epilepsy of unknown cause (UC) or structural cause (SC), and collected clinical, standard-EEG (S-EEG), 24-hour ambulatory EEG (A-EEG), and neuroimaging data, in particular for the evaluation of leukoaraiosis. We also analyzed seizure prognosis after titration of the first antiseizure medication (ASM). <strong>Results</strong> Late-onset focal epilepsy of unknown cause, with respect to symptomatic epilepsy, shows characteristics that together suggest a temporal lobe origin of the seizures, and has a significantly better prognosis than symptomatic forms. The presence of leukoaraiosis on neuroimaging significantly worsens the seizure prognosis as an independent factor.
DOI: 10.21233/3ysd-s203
title: Bennett Lake water chemistry dataset

description: Raw data for the Bennett Lake water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/wtb0-df69
title: Queer Lake water chemistry dataset

description: Raw data for the Queer Lake water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.6084/m9.figshare.19400432
title: Anexo I. Cuestionario del Alumnado

description: Cuestionario del alumnado
DOI: 10.21233/vbqs-6t92
title: Squaw Lakes water chemistry dataset

description: Raw data for the Squaw Lakes water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.6084/m9.figshare.19400432.v2
title: Anexo I. Cuestionario del Alumnado

description: Cuestionario del alumnado
DOI: 10.6084/m9.figshare.19400432.v1
title: Anexo I. Cuestionario del Alumnado

description: Cuestionario del alumnado
DOI: 10.25345/c5dj58m20
title: MassIVE Reanalysis RMSV000000626.4 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000086369 The exploration of Missing Proteins by a combination approach to enrich the low abundance membrane proteins from several cancer cell lines [Subject: HepG2] [launched by 6b80970df475449daee01ff46ed52c03]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.21233/qbmd-3v98
title: Lake Arrowhead water chemistry dataset

description: Raw data for the Lake Arrowhead water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/045e-9656
title: Moidach More testate amoebae surface sample dataset

description: Raw data for the Moidach More testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/xfrs-q084
title: Badda bog pollen dataset

description: Raw data for the Badda bog pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/qb09-7r67
title: Camp Lake water chemistry dataset

description: Raw data for the Camp Lake water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/kzv4-wy14
title: Lake Kegonsa water chemistry dataset

description: Raw data for the Lake Kegonsa water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/2rkc-k234
title: Graham Lake water chemistry dataset

description: Raw data for the Graham Lake water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.6084/m9.figshare.19400465
title: Anexo II. Cuestionario del Profesorado

description: Cuestionario del Profesorado
DOI: 10.6084/m9.figshare.19400465.v2
title: Anexo II. Cuestionario del Profesorado

description: Cuestionario del Profesorado
DOI: 10.6084/m9.figshare.19400465.v1
title: Anexo II. Cuestionario del Profesorado

description: Cuestionario del Profesorado
DOI: 10.48623/aperta.228182
title: The Role Of Fanaticism And Belonging To Team In Predicting Football Fans' Aggression Levels

description: Fan aggression is a societal problem that affects many sports clubs worldwide. To prevent individual and social aggression in sports environments, aggression should be handled with all its dimensions. The study aims to examine the effect of fanaticism on the aggression levels of football fans. The study sample consisted of 909 people, 474 males and 435 females. In addition to the personal information form, the “Buss-Perry Aggression Questionnaire” and “Football Fanaticism Scale” were used as data collection tools. Pearson's Product Moment Correlation Analysis was used to determine the relationships between the variables, and Multiple Linear Regression Analysis was used to examine the predictive power of fanaticism on aggression. When the results obtained were examined, it was seen that the Tendency of Thought and Action towards Violence predicted physical aggression of individuals and Belonging to Team predicted all dimensions of aggression significantly and positively. In the light of the information obtained, it can be said that fanaticism is an essential predictor of all sub-dimensions of aggression.
DOI: 10.21233/t2mr-vr81
title: East Branch Lake water chemistry dataset

description: Raw data for the East Branch Lake water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.25345/c58w38603
title: MassIVE Reanalysis RMSV000000626.5 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000086369 The exploration of Missing Proteins by a combination approach to enrich the low abundance membrane proteins from several cancer cell lines [Subject: HeLa] [launched by 6b80970df475449daee01ff46ed52c03]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.21233/hhh6-6g89
title: North Turn Lake water chemistry dataset

description: Raw data for the North Turn Lake water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/t8ng-7v33
title: South Loon Lake water chemistry dataset

description: Raw data for the South Loon Lake water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/zgdp-jq90
title: Mill Lake water chemistry dataset

description: Raw data for the Mill Lake water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/xegc-jm62
title: Button Rock Reservoir water chemistry dataset

description: Raw data for the Button Rock Reservoir water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/5w3q-0z41
title: Portage Reservoir water chemistry dataset

description: Raw data for the Portage Reservoir water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/s6wg-4d92
title: Viitna Linajärv pollen dataset

description: Raw data for the Viitna Linajärv pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/98hv-9e11
title: Butterburn Flow testate amoebae surface sample dataset

description: Raw data for the Butterburn Flow testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.25919/bpzh-av72
title: Parkes observations for project P1050 semester 2021OCTS_27

description: This is a request for observing time for the timing campaign of new pulsar discoveries from the reprocessing of the low-latitude Galactic plane section of the HTRU survey (P630). We have now completed 90 % of the survey with GPU based coherent acceleration search, template bank and fast folding algorithm pipelines, and now have discovered 92 previously unknown pulsars and 8 "class A" pulsars awaiting confirmation. Interesting science can usually only be derived from a new pulsar after confirmation and a follow-up timing campaign is carried out. One year of initial timing is the minimum timespan required to fully characterise any newly-discovered pulsars, essential for deriving pulsar parameters such as the characteristic age, magnetic field strength, spin-down rate, as well as to detect any unexpected behaviour of the pulsar which might result from emission instabilities. Pulsars on the observing list here have been confirmed in the previous and current 2021APRS semesters, the follow-up timing in OCTS2021 will produce completely new and exciting results. In addition, this timing project will allow us to measure the true Galactic plane pulsar population and the boundaries of pulsar parameter space in the galactic plane.
DOI: 10.21233/ze96-mm88
title: Batsto River Reservoir water chemistry dataset

description: Raw data for the Batsto River Reservoir water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/c3f7-p396
title: Moidach More testate amoebae surface sample dataset

description: Raw data for the Moidach More testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/c05j-3w62
title: Lacul cu Muschi pollen dataset

description: Raw data for the Lacul cu Muschi pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/ysx3-x064
title: Whitewater Lake water chemistry dataset

description: Raw data for the Whitewater Lake water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/3q0p-j618
title: Puerto de Casillas pollen dataset

description: Raw data for the Puerto de Casillas pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/n5b1-jc63
title: Bog Pond water chemistry dataset

description: Raw data for the Bog Pond water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/f527-0139
title: Bílé Karpaty 35 pollen surface sample dataset

description: Raw data for the Bílé Karpaty 35 pollen surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/rt3s-g752
title: Chalkney wood pollen dataset

description: Raw data for the Chalkney wood pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/9jn8-6r85
title: Garnet Lake water chemistry dataset

description: Raw data for the Garnet Lake water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/fs28-x616
title: East Creek Pond water chemistry dataset

description: Raw data for the East Creek Pond water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/tkz6-3714
title: Pleasant Lake water chemistry dataset

description: Raw data for the Pleasant Lake water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/x3vw-m943
title: Bílé Karpaty 13 pollen surface sample dataset

description: Raw data for the Bílé Karpaty 13 pollen surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/8zd3-zv45
title: Bennett Lake water chemistry dataset

description: Raw data for the Bennett Lake water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/t377-8k74
title: Graham Lake water chemistry dataset

description: Raw data for the Graham Lake water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/7xd2-sj64
title: Masaklettar testate amoebae surface sample dataset

description: Raw data for the Masaklettar testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/vab2-h658
title: Tippecanoe Lake water chemistry dataset

description: Raw data for the Tippecanoe Lake water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/e3mw-tc57
title: Afstj¢rna pollen dataset

description: Raw data for the Afstj¢rna pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/aq80-me57
title: Greenwood Lake water chemistry dataset

description: Raw data for the Greenwood Lake water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.25345/c5542jc74
title: MassIVE MSV000089110 - HLA Class I Presentation of Peptides Derived from ALK Protein
title: Raw Instrument Data Files in SWATH format. The raw data is submitted as a component of a manuscript: "ALK vaccination restores the immunogenicity of ALK-rearranged non-small cell lung cancer." Specific format of the SWATH acquisition is described in a supplementary text file.
DOI: 10.21233/9ctt-ke15
title: Lake Blanchard water chemistry dataset

description: Raw data for the Lake Blanchard water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/8e8m-cq36
title: Caddo Lake water chemistry dataset

description: Raw data for the Caddo Lake water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/8nzh-yz80
title: Alruss water chemistry dataset

description: Raw data for the Alruss water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.6084/m9.figshare.17070122
title: Code and Data for Scharf et al 2022 Animal Cognition

description: Data collected in 2021 presenting prothonotary warbler parents with warbler nesting alarm calls, brown-headed cowbird nestling alarm calls, and eastern bluebird nestling alarm calls. Number of chips and response latency of the parents were recorded.<br>
DOI: 10.6084/m9.figshare.17070122.v2
title: Code and Data for Scharf et al 2022 Animal Cognition

description: Data collected in 2021 presenting prothonotary warbler parents with warbler nesting alarm calls, brown-headed cowbird nestling alarm calls, and eastern bluebird nestling alarm calls. Number of chips and response latency of the parents were recorded.<br>
DOI: 10.21233/7k12-as45
title: Green Lake water chemistry dataset

description: Raw data for the Green Lake water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.6084/m9.figshare.17070122.v1
title: Code and Data for Scharf et al 2022 Animal Cognition

description: Data collected in 2021 presenting prothonotary warbler parents with warbler nesting alarm calls, brown-headed cowbird nestling alarm calls, and eastern bluebird nestling alarm calls. Number of chips and response latency of the parents were recorded.<br>
DOI: 10.25545/nvn79z
title: Digital Property Maps, 2001

description: Historical snapshot of New Brunswick Digital Property Maps (DPM). "Approximate boundaries for all land parcels in New Brunswick. The boundaries are structured as Polygons. The Property Identifier number or PID is included for each parcel." The sources of digital property data are the original property manuscripts prepared by SNB at the following scales: 1:1000, 1:1200, 1:2000, 1:2400, 1:4800, 1:5000, 1:10 000, 1:20 000 Information is derived from registered survey plans, registered documents, return of surveys, and other related documents. All property lines, including rivers, lakes and streams which form property lines are captured. At the scale of 1:10 000, hydrographic features which form property boundaries are captured from the Digital Topographic Database.
DOI: 10.21233/1zah-ay65
title: Smith Lake (Ga) water chemistry dataset

description: Raw data for the Smith Lake (Ga) water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/znn5-0327
title: Moidach More testate amoebae surface sample dataset

description: Raw data for the Moidach More testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/pqab-fy51
title: Ilkley Moor testate amoebae surface sample dataset

description: Raw data for the Ilkley Moor testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.25545/tqbafz
title: Digital Property Maps, 2002

description: Historical snapshot of New Brunswick Digital Property Maps (DPM). "Approximate boundaries for all land parcels in New Brunswick. The boundaries are structured as Polygons. The Property Identifier number or PID is included for each parcel." The sources of digital property data are the original property manuscripts prepared by SNB at the following scales: 1:1000, 1:1200, 1:2000, 1:2400, 1:4800, 1:5000, 1:10 000, 1:20 000 Information is derived from registered survey plans, registered documents, return of surveys, and other related documents. All property lines, including rivers, lakes and streams which form property lines are captured. At the scale of 1:10 000, hydrographic features which form property boundaries are captured from the Digital Topographic Database.
DOI: 10.21233/1svv-9e03
title: Moidach More testate amoebae surface sample dataset

description: Raw data for the Moidach More testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.25545/ahwhtr
title: Digital Property Maps, 2003

description: Historical snapshot of New Brunswick Digital Property Maps (DPM). "Approximate boundaries for all land parcels in New Brunswick. The boundaries are structured as Polygons. The Property Identifier number or PID is included for each parcel." The sources of digital property data are the original property manuscripts prepared by SNB at the following scales: 1:1000, 1:1200, 1:2000, 1:2400, 1:4800, 1:5000, 1:10 000, 1:20 000 Information is derived from registered survey plans, registered documents, return of surveys, and other related documents. All property lines, including rivers, lakes and streams which form property lines are captured. At the scale of 1:10 000, hydrographic features which form property boundaries are captured from the Digital Topographic Database.