cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25224224.v4
title: GRD-TRT-BUF-4I Technical Validation Data

description: This is the static test data from the study "Global Geolocated Realtime Data of Interfleet Urban Transit Bus Iding" collected by GRD-TRT-BUF-4I. <b>test-data-a.csv</b> was collected from December 31, 2023 00:01:30 UTC to January 1, 2024 00:01:30 UTC.<b> </b><b>test-data-b.csv</b> was collected from January 4, 2024 01:30:30 UTC to January 5, 2024 01:30:30 UTC.<b> </b><b>test-data-c.csv</b> was collected from January 10, 2024 16:05:30 UTC to January 11, 2024 16:05:30 UTC. Continuously updated versions will be available here.
DOI: 10.5281/zenodo.10835233
title: Satellite Precipitation Products data performance evaluation with observed datasets

description: Datasets used for evaluation of Satellite Precipitation Products (SPPs). We used Three open-source datasets from different sources for our evaluation of the SPPs applicability in real-time flood forecasting.
DOI: 10.5281/zenodo.10835234
title: Satellite Precipitation Products data performance evaluation with observed datasets

description: Datasets used for evaluation of Satellite Precipitation Products (SPPs). We used Three open-source datasets from different sources for our evaluation of the SPPs applicability in real-time flood forecasting.
DOI: 10.6084/m9.figshare.25143008
title: QTL Summary Statistics

description: This dataset contains summary for all QTLs discovered in the study.<br>
DOI: 10.6084/m9.figshare.25143008.v2
title: QTL Summary Statistics

description: This dataset contains summary for all QTLs discovered in the study.<br>
DOI: 10.6084/m9.figshare.25143008.v1
title: QTL Summary Statistics

description: This dataset contains summary for all QTLs discovered in the study, including:1) expression QTLs in iPSC, CVPC, and PPC2) chromatin accessibility QTLs in iPSC, CVPC, and PPC3) histone acetylation ChIP-seq QTLs in iPSC and CVPCiPSC = induced pluripotent stem cells, CVPC = cardiovascular progenitor cells, PPC = pancreatic progenitor cells.
DOI: 10.6084/m9.figshare.25432024
title: Data extraction metanalysis

description: applicationThis systematic review and meta-analysis aims to evaluate whether intra-alveolar honey application reduces inflammatory complications after the extraction of mandibular third molars (CRD 42023467041). The data for metanalysis were collected using an excel program and they are attached.
DOI: 10.6084/m9.figshare.25432024.v1
title: Data extraction metanalysis

description: applicationThis systematic review and meta-analysis aims to evaluate whether intra-alveolar honey application reduces inflammatory complications after the extraction of mandibular third molars (CRD 42023467041). The data for metanalysis were collected using an excel program and they are attached.
DOI: 10.5281/zenodo.10835680
title: BioPropaPhen and BioPropaPhenKG

description: This repository contains:



The BioPropaPhen ontology created from PropaPhen, being specialized with UMLS and World Knowledge Graph ontologies;

A neo4j 4.4.3 dump file of the BioPropaPhenKG knowledge graph;

Csv spreadsheets to build the graph from scratch;

A list of commands to instantiate the graph with docker and set the appropriate class names;

COVID-data relationship csv for experimenting with W.H.O. spatio-temporal data
DOI: 10.5281/zenodo.8087231
title: Conjunto de dados (código e imagens) utilizados em "Visualização de redes de coautoria como insumo bibliométrico à revistas científicas: uma proposta via web scraping para os periódicos Em Questão e Encontros Bibli"

description: Código e imagens utilizadas no trabalho completo intitulado "Visualização de redes de coautoria como insumo bibliométrico à revistas científicas: uma proposta via web scraping para os periódicos Em Questão e Encontros Bibli" publicado no periódico Encontros Bibli (https://periodicos.ufsc.br/index.php/eb/index)

 

Acompanhe atualizações do código em: https://github.com/rafaelcastanha/Webscrapig-Coauthorship
DOI: 10.5281/zenodo.8087232
title: Conjunto de dados (código e imagens) utilizados em "Visualização de redes de coautoria como insumo bibliométrico à revistas científicas: uma proposta via web scraping para os periódicos Em Questão e Encontros Bibli"

description: Código e imagens utilizadas no trabalho completo intitulado "Visualização de redes de coautoria como insumo bibliométrico à revistas científicas: uma proposta via web scraping para os periódicos Em Questão e Encontros Bibli" publicado no periódico Encontros Bibli (https://periodicos.ufsc.br/index.php/eb/index)

 

Acompanhe atualizações do código em: https://github.com/rafaelcastanha/Webscrapig-Coauthorship
DOI: 10.7298/bcfs-ze92
title: Surveillance Optimization Project for Chronic Wasting Disease dataset for Virginia, US, 2001-2021
DOI: 10.6084/m9.figshare.25432099
title: SupplementaryFiles_JDS.docx

description: Understanding the impact of kong distance transportation on microbiota changes in surplus dairy calves.
DOI: 10.6084/m9.figshare.25432099.v1
title: SupplementaryFiles_JDS.docx

description: Understanding the impact of kong distance transportation on microbiota changes in surplus dairy calves.
DOI: 10.5281/zenodo.10805593
title: LLMs as Teaching Assistants? Exploring New Horizons Through pTA - Dataset

description: LLMs as Teaching Assistants? Exploring New Horizons Through pTA - Dataset

 

The Dataset

 

The dataset consists of logs of tests run by students through the pTA on their submissions. The collection, named commandFinished is a json file made up of a list of Mongodb objects. Each object is of the following format:

 

{

  "_id": {

    "$oid": "6175e2d0e0375c2f95bd25c5"

  },

  "submissionGitRepoId": "gr0-ms1",

  "category": "git clone/pull",

  "finished": {

    "stdio": "",

    "stdError": "Cloning into '.'...\n",

    "wholeInteraction": "Running the process: docker run --network host --interactive --name ms1-gr0-echo-client ms1/gr0/echo-client.jar

    Testing if put works correctly... Client 1 puts\n-------Input@KV at localhost/127.0.0.1:33121> put dog one two three\n-------Output@KV at localhost/127.0.0.1:33121> put_success dog",

    "exitValue": 0

  },

  "finishedTime": {

    "$date": {

      "$numberLong": "1635122928975"

    }

  },

  "durationmillis": 884,

  "isFinal": false

}

 

where

 

- submissionGitRepoId - An ID created of the format <gr>-<ms>, where <gr> is the group id and <ms> is the milestone number

- finished - The object containing details of the test

 

How to import

 

- Install MongoDB and MongoDB Compass .

- Run a MongoDB deployment.

- Open MongoDB Compass and connect to the deployment. Do so by entering the URI and clicking on Connect.

- Create a new database and navigate to it.

- Create a new collection and navigate to it.

- On the resulting page, click on the ADD DATA dropdown and select Import JSON or CSV file.

- Confirm the commandFinished.json file that you would like to import.
DOI: 10.5281/zenodo.10805594
title: LLMs as Teaching Assistants? Exploring New Horizons Through pTA - Dataset

description: LLMs as Teaching Assistants? Exploring New Horizons Through pTA - Dataset

 

The Dataset

 

The dataset consists of logs of tests run by students through the pTA on their submissions. The collection, named commandFinished is a json file made up of a list of Mongodb objects. Each object is of the following format:

 

{

  "_id": {

    "$oid": "6175e2d0e0375c2f95bd25c5"

  },

  "submissionGitRepoId": "gr0-ms1",

  "category": "git clone/pull",

  "finished": {

    "stdio": "",

    "stdError": "Cloning into '.'...\n",

    "wholeInteraction": "Running the process: docker run --network host --interactive --name ms1-gr0-echo-client ms1/gr0/echo-client.jar

    Testing if put works correctly... Client 1 puts\n-------Input@KV at localhost/127.0.0.1:33121> put dog one two three\n-------Output@KV at localhost/127.0.0.1:33121> put_success dog",

    "exitValue": 0

  },

  "finishedTime": {

    "$date": {

      "$numberLong": "1635122928975"

    }

  },

  "durationmillis": 884,

  "isFinal": false

}

 

where

 

- submissionGitRepoId - An ID created of the format <gr>-<ms>, where <gr> is the group id and <ms> is the milestone number

- finished - The object containing details of the test

 

How to import

 

- Install MongoDB and MongoDB Compass .

- Run a MongoDB deployment.

- Open MongoDB Compass and connect to the deployment. Do so by entering the URI and clicking on Connect.

- Create a new database and navigate to it.

- Create a new collection and navigate to it.

- On the resulting page, click on the ADD DATA dropdown and select Import JSON or CSV file.

- Confirm the commandFinished.json file that you would like to import.
DOI: 10.5281/zenodo.10819000
title: 6D phase space of charged beam in particle accelerator

description: The dataset is collected from HPSim (https://github.com/apphys/hpsim), an advanced, open-source tool developed at LANL, enables rapid, online simulations of multipleparticle beam dynamics is used to collect data. HPSim solves Vlasov-Maxwell equations to calculate the effects of external accelerating and focusing forces on the charged particle beam as well as space charge forces within the beam. To generate the dataset from HPSim, the RF set points (amplitude and phase) for the first four modules are randomly sampled from a uniform distribution keeping the rest of the set points of 44 modules at a mean value. Other beam and accelerator parameters, like the initial beam condition, are also set to constant realistic values. Using the RF set points as inputs to the simulation, HPSim provides a six-dimensional phase space of the charged particle beam in the form of 15 unique projections at each of the 48 accelerating section/modules of LANSCE linear accelerator.
DOI: 10.5281/zenodo.10819001
title: 6D phase space of charged beam in particle accelerator

description: The dataset is collected from HPSim (https://github.com/apphys/hpsim), an advanced, open-source tool developed at LANL, enables rapid, online simulations of multipleparticle beam dynamics is used to collect data. HPSim solves Vlasov-Maxwell equations to calculate the effects of external accelerating and focusing forces on the charged particle beam as well as space charge forces within the beam. To generate the dataset from HPSim, the RF set points (amplitude and phase) for the first four modules are randomly sampled from a uniform distribution keeping the rest of the set points of 44 modules at a mean value. Other beam and accelerator parameters, like the initial beam condition, are also set to constant realistic values. Using the RF set points as inputs to the simulation, HPSim provides a six-dimensional phase space of the charged particle beam in the form of 15 unique projections at each of the 48 accelerating section/modules of LANSCE linear accelerator.
DOI: 10.5281/zenodo.10817872
title: Nicolaus Olahus: Epistulae. Pars I. 1523–1533, 2018
DOI: 10.5281/zenodo.10817873
title: Nicolaus Olahus: Epistulae. Pars I. 1523–1533, 2018
DOI: 10.34740/kaggle/dsv/7879229
title: Public Opinion Russia Ukraine War (Updated Daily)
DOI: 10.5517/ccdc.csd.cc2fxvrz
title: CCDC 2262062: Experimental Crystal Structure Determination

description: Related Article: Alexander S. Chuprin, Svetlana A. Belova, Anna V. Vologzhanina, Pavel V. Dorovatovskii, Yan Z. Voloshin|2024|Inorg.Chem.|63|4299|doi:10.1021/acs.inorgchem.3c04319
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.cc2fxvs0
title: CCDC 2262063: Experimental Crystal Structure Determination

description: Related Article: Alexander S. Chuprin, Svetlana A. Belova, Anna V. Vologzhanina, Pavel V. Dorovatovskii, Yan Z. Voloshin|2024|Inorg.Chem.|63|4299|doi:10.1021/acs.inorgchem.3c04319
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.cc2fxvt1
title: CCDC 2262064: Experimental Crystal Structure Determination

description: Related Article: Alexander S. Chuprin, Svetlana A. Belova, Anna V. Vologzhanina, Pavel V. Dorovatovskii, Yan Z. Voloshin|2024|Inorg.Chem.|63|4299|doi:10.1021/acs.inorgchem.3c04319
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.cc2fxvv2
title: CCDC 2262065: Experimental Crystal Structure Determination

description: Related Article: Alexander S. Chuprin, Svetlana A. Belova, Anna V. Vologzhanina, Pavel V. Dorovatovskii, Yan Z. Voloshin|2024|Inorg.Chem.|63|4299|doi:10.1021/acs.inorgchem.3c04319
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.cc2fxvw3
title: CCDC 2262066: Experimental Crystal Structure Determination

description: Related Article: Alexander S. Chuprin, Svetlana A. Belova, Anna V. Vologzhanina, Pavel V. Dorovatovskii, Yan Z. Voloshin|2024|Inorg.Chem.|63|4299|doi:10.1021/acs.inorgchem.3c04319
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.cc2fxvx4
title: CCDC 2262067: Experimental Crystal Structure Determination

description: Related Article: Alexander S. Chuprin, Svetlana A. Belova, Anna V. Vologzhanina, Pavel V. Dorovatovskii, Yan Z. Voloshin|2024|Inorg.Chem.|63|4299|doi:10.1021/acs.inorgchem.3c04319
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: 10.25919/b0t1-ff18
title: Parkes observations for project P960 semester 2023OCTS_12

description: We aim to carry out receiver pointing and characterisation tests of Parkes receivers. Typically, these tests are carried out after the receiver package is installed, but time does not always allow for proper characterisation. Receivers for consideration include UWL, MARS and 13MM packages. In addition to cross-referencing C007 for flux calibration via pointing, we aim to conduct gain-elevation and system temperature experiments using the Moon, to ensure users of the Parkes Observatory have the most accurate information available for calibration purposes.
DOI: 10.6084/m9.figshare.22722763
title: Urban FRT

description: This folder contains the raw dataset used for analysis for this study.
DOI: 10.48667/108p-kw11
title: Astrobiology Resource Metadata Standard (ARMS)

description: As scientific investigations become increasingly dependent on Open Science, reuse of data becomes paramount. However, despite decades of progress in internet search tools, finding the right astrobiological dataset for an envisioned investigation remains challenging due to the precise and atypical needs of the astrobiology researcher. In response, we developed the Astrobiology Resource Metadata Standard (ARMS), a new metadata standard designed to uniformly describe astrobiology ‘resources’, i.e. virtually any product of astrobiology research – including datasets, physical samples, software (modeling codes and scripts), publications, websites, images, video, presentations, etc. for citation and retrieval purposes – along with recommended use instructions. ARMS has been formulated to support astrobiology resources generated by individual scientists or smaller scientific teams, rather than larger mission teams who may be required to use more complex archival metadata schemes.
DOI: 10.48366/r673469
title: Application of machine learning in Livestock Management

description: The livestock category covers animal well being. The production of livestock. Animal welfare is centered on the health and happiness of animals utilizing machine learning to detect diseases by observing their behavior. Livestock production deals, with challenges in production systems using machine learning to estimate factors through monitoring production processes. A total of height papers are reviewed, with three focusing on improving animal welfare and five, on enhancing livestock production efficiency.
DOI: 10.48366/r673472
title: Application of machine learning in Livestock Management

description: The livestock category covers animal well being. The production of livestock. Animal welfare is centered on the health and happiness of animals utilizing machine learning to detect diseases by observing their behavior. Livestock production deals, with challenges in production systems using machine learning to estimate factors through monitoring production processes. A total of height papers are reviewed, with three focusing on improving animal welfare and five, on enhancing livestock production efficiency.
DOI: 10.34740/kaggle/dsv/7879283
title: Injury history and landing patterns
DOI: 10.6084/m9.figshare.24602691.v3
title: <b>Slope Countercurrent </b>

description: Data for paper entitled "Trough-scale Slope Countercurrent over the East China Sea Shelf Break Driven by Upwelling Divergence"
DOI: 10.5281/zenodo.10835768
title: Demouchy_Moa_Island_unpolarized_normalized_FTIRSpectra

description: This excel  file contain de unpolarized FTIR spectra display in Figure 8 of Demouchy et al. submitted to Tectonophysics. The spectra are normalized to the thinckness and baseline corrected. Contact me if you have question.
DOI: 10.5281/zenodo.10835769
title: Demouchy_Moa_Island_unpolarized_normalized_FTIRSpectra

description: This excel  file contain de unpolarized FTIR spectra display in Figure 8 of Demouchy et al. submitted to Tectonophysics. The spectra are normalized to the thinckness and baseline corrected. Contact me if you have question.
DOI: 10.5281/zenodo.10835823
title: Critical Gaps in Medical Research Reporting by Online News Media: Dataset

description: Dataset for Critical Gaps in Medical Research Reporting by Online News Media
DOI: 10.5281/zenodo.10835824
title: Critical Gaps in Medical Research Reporting by Online News Media: Dataset

description: Dataset for Critical Gaps in Medical Research Reporting by Online News Media
DOI: 10.6084/m9.figshare.25432171
title: Gaytan et al. 2024_American Journal of Botany.xlsx

description: <b>Premise:</b> During the last centuries, the area covered by urban landscapes is increasing all over the world. Urbanization can change local habitats and decrease connectivity among these habitats, with important consequences for species interactions. While several studies have found a major imprint of urbanization on plant-insect interactions, the effects of urbanization on seed predation remain largely unexplored.<b>Methods:</b> We investigated the relative impact of sunlight exposure, leaf litter and spatial connectivity on predation by moth and weevil larvae on acorns of the pedunculate oak across an urban landscape during 2018 and 2020. We also examined whether infestations by moths and weevils were independent of each other.<b>Key results:</b> Our results showed that while seed predation varied strongly among trees, seed predation was not related to differences in sunlight exposure, leaf litter or spatial connectivity. Seed predation by moths and weevils was negatively correlated at the level of individual acorns in 2018, whereas seed predation was positively correlated at both the acorn- and tree-level in 2020.<b>Conclusions:</b> Our study sets the baseline expectation that urban seed predators are unaffected by differences in sunlight exposure, leaf litter and spatial connectivity. Overall, our findings suggest that the impact of local and spatial factors on insects within an urban context may depend on the species guild. Understanding the impact of local and spatial factors on biodiversity, food web structure and ecosystem functioning can provide valuable insights for urban planning and management strategies aimed at promoting urban insect diversity.
DOI: 10.6084/m9.figshare.25432171.v1
title: Gaytan et al. 2024_American Journal of Botany.xlsx

description: <b>Premise:</b> During the last centuries, the area covered by urban landscapes is increasing all over the world. Urbanization can change local habitats and decrease connectivity among these habitats, with important consequences for species interactions. While several studies have found a major imprint of urbanization on plant-insect interactions, the effects of urbanization on seed predation remain largely unexplored.<b>Methods:</b> We investigated the relative impact of sunlight exposure, leaf litter and spatial connectivity on predation by moth and weevil larvae on acorns of the pedunculate oak across an urban landscape during 2018 and 2020. We also examined whether infestations by moths and weevils were independent of each other.<b>Key results:</b> Our results showed that while seed predation varied strongly among trees, seed predation was not related to differences in sunlight exposure, leaf litter or spatial connectivity. Seed predation by moths and weevils was negatively correlated at the level of individual acorns in 2018, whereas seed predation was positively correlated at both the acorn- and tree-level in 2020.<b>Conclusions:</b> Our study sets the baseline expectation that urban seed predators are unaffected by differences in sunlight exposure, leaf litter and spatial connectivity. Overall, our findings suggest that the impact of local and spatial factors on insects within an urban context may depend on the species guild. Understanding the impact of local and spatial factors on biodiversity, food web structure and ecosystem functioning can provide valuable insights for urban planning and management strategies aimed at promoting urban insect diversity.
DOI: 10.5281/zenodo.10050539
title: Strong-ground motion for the city of Santiago (Chile) by using the Heterogeneous Energy-Based method

description: Information pertaining to the generation of strong ground motion in the city of Santiago, Chile, using the Heterogeneous Energy-Based method proposed by Venegas-Aravena (2023) for the San Ramón Fault.
DOI: 10.5281/zenodo.10835821
title: Ground motion amplification of the Santiago basin

description: Code that generates an approximate distribution of strong ground motion amplification in the Santiago Basin. A combination of two-dimensional Gaussians is used to resemble the distribution found by Pilz et al. (2011) [https://doi.org/10.1111/j.1365-246X.2011.05183.x].

The parameters used were selected through trial and error until a distribution was obtained that roughly resembled those found by Pilz. This code requires the data available at https://doi.org/10.5281/zenodo.10050539.