cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.11317472
title: An intranuclear bacterial parasite of deep-sea mussels expresses apoptosis inhibitors acquired from its host

description: Only a few bacteria are able to colonize the nuclei of eukaryotes and nearly all of these are known from protists. One bacterial clade, however, “Candidatus Endonucleobacter”, infects the nuclei of deep-sea mussels, where it replicates to ≥ 80,000 bacteria per nucleus and causes nuclei to swell to 50 times their original size. How these parasites are able to replicate so massively and avoid apoptosis is not known. Dual RNA-seq transcriptomes of infected nuclei isolated using laser-capture microdissection revealed that in contrast to previous assumptions, “Ca. Endonucleobacter” does not gain most of its nutrition from nuclear DNA or RNA. Instead, “Ca. Endonucleobacter” upregulated genes for importing sugars, lipids, amino acids and possibly mucin from its host, and digested these nutrients. “Ca. Endonucleobacter” likely prevents apoptosis of host cells by upregulating 7-13 inhibitors of apoptosis (IAPs), proteins previously only known from animals and a few invertebrate viruses. Comparative phylogenetic analyses revealed that “Ca. Endonucleobacter” acquired IAPs repeatedly through horizontal gene transfer (HGT) from their hosts in convergent acquisition. HGT from eukaryotes to bacteria, although assumed to be rare, may be more common than currently recognized, particularly in bacteria that live in intimate associations with eukaryotic hosts.
description: Ca.E.childressi.gbk = Ca. Endonucleobacter childressi RAST-annotated genome in gbk format

Ca.E.childressi.gff = Ca. Endonucleobacter childressi RAST-annotated genome in GFF3 format

Ca.E.puteoserpentis.gbk = Ca. Endonucleobacter puteoserpentis RAST-annotated genome in gbk format

Ca.E.puteoserpentis.gff = Ca. Endonucleobacter puteoserpentis RAST-annotated genome in GFF3 format

3963.N6.bbnorm.Trinity.cent97.MEGANclean.fasta = Gigantidas childressi de novo transcriptome3963.N6.bbnorm.Trinity.cent97.MEGANclean.Trinotate.1e-3.pep.trans.xls = Trinotate annotation table for Gigantidas childressi de novo transcriptome

3885_3802_Bput_GillFoot_norm_Trinity.cent97.MEGANclean.fasta = Bathymodiolus puteoserpentis de novo transcriptome3885_3802_Bput_GillFoot_norm_Trinity.cent97.MEGANclean.Trinotate.1e-3.pep.trans.xls = Trinotate annotation table for Bathymodiolus puteoserpentis de novo transcriptomeIAP_hmm_profile.rar = folder containing the IAPs hmm profiles used in this study for the identification of inhibitors of apoptosis in "Ca. Endonucleobacter" genomes.
DOI: 10.15468/dl.uhvkn3
title: Occurrence Download

description: A dataset containing 2350 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ptomascopus morio Kraatz, 1877"
 ]
}

 The dataset includes 2350 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043568-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x4ahd6
title: Occurrence Download

description: A dataset containing 23448 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nicrophorus vespilloides Herbst, 1783"
 ]
}

 The dataset includes 23448 records from 434 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043567-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48324/dandi.000952/0.240731.1609
title: 32 CH local field potential recording of rodents performing a temporal discounting task

description: Local field potential (LFP) recordings from 12 male Long-Evans rats during a temporal discounting task. LFP was recording using an RHD interface board (Intantech) and Open Ephys recording software. Data was recorded at 1Khz, with a band-pass filter set at 0.3 to 999 Hz during acquisition. Physiology data was integrated with behavioral data using a lab-streaming-layer (LSL) protocol. Recordings are taken from 32 different brain areas. Subjects chose between a small (10uL/ 1s) reward delivered after a fixed short delay (500ms after response) or a large (30uL/3s) reward delivered after a fixed delay that varied from session to session (500ms, 1, 2, 5, 10, 20s).
DOI: 10.15468/dl.96gxdr
title: Occurrence Download

description: A dataset containing 425 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diamesus osculans (Vigors, 1825)"
 ]
}

 The dataset includes 425 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043570-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cu7hxw
title: Occurrence Download

description: A dataset containing 1044 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rugulopteryx O.De Clerck & E.Coppejans, 2006)",
 "HasCoordinate is true",
 "Year is greater than 1900"
 ]
}

 The dataset includes 1044 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043571-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34820/fk2/jue4eu/9ntpi8
title: covid-19 tweet vaksin.tab

description: :unav
DOI: 10.34820/fk2/jue4eu/cp8ba2
title: Video Demo web app streamlit_Anbi Alif Rahman_1301174646.mkv

description: Video Demo Web App Streamlit Sentimen Analisis Kebijakan Vaksinasi Covid-19 dengan Model Regresi Logistik
DOI: 10.34820/fk2/jue4eu/eycap9
title: cleaned_data.csv

description: :unav
DOI: 10.34820/fk2/jue4eu/knebav
title: Logistic_Regression_untuk_Analisis_Sentimen_Kebijakan_Vaksinasi_Covid_19_.ipynb

description: :unav
DOI: 10.34820/fk2/jue4eu/m0tdoj
title: Jurnal_1301174646_ANBI ALIF RAHMAN.pdf

description: :unav
DOI: 10.34820/fk2/jue4eu
title: Aplikasi Sentimen Analisis Kebijakan Vaksinasi Covid-19 dengan Model Regresi Logistik

description: Data Primer Web App Streamlit Sentimen Analisis Kebijakan Vaksinasi Covid-19 dengan Model Regresi Logistik
DOI: 10.34820/fk2/jue4eu/r9lwse
title: cleaned_data_tweet_only.csv

description: :unav
DOI: 10.25403/upresearchdata.26404030
title: Demographic, clinical and delivery information of biochemical and microRNA data

description: Dataset includes information including demographics such as age, smoking, and alcohol consumption, clinical information including the type of diabetes, oral glucose tolerance test (OGTT) results, HbA1c, diabetes and other illness medication, history of other conditions, family history and anthropometric information including weight, height, BMI, and blood pressure. It also includes delivery information such as gestational age at delivery, route of delivery, mode of delivery, fetal growth, neonatal birthweight, Apgar scores, gender and neonatal outcomes. Additionally, there is serum levels of adiponectin, SHBG, leptin and microRNAs.
DOI: 10.25403/upresearchdata.26404030.v1
title: Demographic, clinical and delivery information of biochemical and microRNA data

description: Dataset includes information including demographics such as age, smoking, and alcohol consumption, clinical information including the type of diabetes, oral glucose tolerance test (OGTT) results, HbA1c, diabetes and other illness medication, history of other conditions, family history and anthropometric information including weight, height, BMI, and blood pressure. It also includes delivery information such as gestational age at delivery, route of delivery, mode of delivery, fetal growth, neonatal birthweight, Apgar scores, gender and neonatal outcomes. Additionally, there is serum levels of adiponectin, SHBG, leptin and microRNAs.
DOI: 10.15468/dl.q522x3
title: Occurrence Download

description: A dataset containing 727 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eusilpha Semenov, 1891"
 ]
}

 The dataset includes 727 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043572-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8mdcwv
title: Occurrence Download

description: A dataset listing the 515 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Estudios bióticos: Plantas, artropofauna edáfica, anfibios y aves del Complejo de Páramos Iguaque Merchán"
 ]
}

 The dataset's 515 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043569-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7az3tp
title: Occurrence Download

description: A dataset containing 999 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Necrodes asiaticus Portevin, 1922"
 ]
}

 The dataset includes 999 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043573-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.24431/rw1k8f5
title: Kachemak Bay EPSCoR Stream Team Field Data, AK NSF EPSCoR Fire and Ice, 2019-2022

description: This dataset contains field point measurements and observations collected in five streams in the Kachemak Bay region as part of the AK NSF EPSCoR Fire and Ice program. The dataset is contains the results of the fours years of monthly point sampling within the studied streams in Kachemak Bay, Alaska. The data include water temperature, specific conductance, pH, dissolved oxygen, alkalinity and instantaneous river discharge. 
This dataset contains one csv table: kb_field_data_master.csv
DOI: 10.24431/rw1k8f6
title: Kachemak Bay EPSCoR Stream Team Sensor Data, AK NSF EPSCoR Fire and Ice, 2019-2022

description: This dataset contains stream discharge, specific conductance, barometric pressure and air temperature in five watershed in the Kachemak Bay region as part of the AK NSF EPSCoR Fire and Ice program. The dataset is contains the results of the fours years stream monitoring.
DOI: 10.24431/rw1k8f7
title: Kachemak Bay EPSCoR Stream Team Spatial Datasets, AK NSF EPSCoR Fire and Ice, 2019-2022

description: This data set contains watershed boundaries with associated physical characteristics, sample locations, and glacier coverages as of 2018 for the Kachemak Bay EPSCoR studied watersheds. Watershed characteristics include glacier coverage, elevation statistics, wetland, lake, forest, vegetation and bare ground coverages.
DOI: 10.24431/rw1k8f8
title: Kachemak Bay EPSCoR Stream Team Geochemical Datasets, AK NSF EPSCoR Fire and Ice, 2019-2022

description: This dataset contains results of stream water chemical analysis collected monthly (2019-2022) in five streams in the Kachemak Bay region as part of the AK NSF EPSCoR Fire and Ice program. The dataset is contains the results of the fours years of monthly point sampling within the studied streams in Kachemak Bay, Alaska. The data include major cation/anion and trace metal concentrations, stable isotope values of water stable isotopes, carbon and nitrogen of suspended particulate, dissolved organic carbon, dissolved organic nitrogen ammonium, soluble reactive phosphorous and total suspended sediments. 
The dataset includes seven csv files: ChemistryMaster.csv, CNIsotopeMaster.csv, DOCTDNMaster.csv, HOIsotopeMaster.csv, NH4Master.csv, SRPMaster.csv, TSSMaster.csv.
DOI: 10.15468/dl.a7bxcp
title: Occurrence Download

description: A dataset containing 12930 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Necrodes littoralis (Linnaeus, 1758)"
 ]
}

 The dataset includes 12930 records from 339 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043574-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13144848
title: A Database of In-Game Player Movements (Actions and Events) in Gaelic Football

description: In this study, data was acquired by fitting GPS sensors to Gaelic football players which are worn during game time. These wearable devices collect internal (heart rate) and external (gps positioning) data related to the movement of players. However, this form of raw data is not well suited to machine learning algorithms as it lacks the necessary semantics which can identify the type and duration of movements. The dataset presented here is created by a data engineering exercise, driven by domain experts, to transform the GPS coordinates into a series of (player) actions. The end result is a database comprising 12 variables and almost 160k actions. It’s reuse potential is targeted at machine learning researchers, sport scientists and coaches who are seeking to understanding the effort and load of players during game time. Analysis is enables across five dimensions: games, players, actions, duration and speed. In addition, the concept of an event groups together actions that belong to the same  sequence and enables analysis at a different level of abstraction.
DOI: 10.5281/zenodo.13144849
title: A Database of In-Game Player Movements (Actions and Events) in Gaelic Football

description: In this study, data was acquired by fitting GPS sensors to Gaelic football players which are worn during game time. These wearable devices collect internal (heart rate) and external (gps positioning) data related to the movement of players. However, this form of raw data is not well suited to machine learning algorithms as it lacks the necessary semantics which can identify the type and duration of movements. The dataset presented here is created by a data engineering exercise, driven by domain experts, to transform the GPS coordinates into a series of (player) actions. The end result is a database comprising 12 variables and almost 160k actions. It’s reuse potential is targeted at machine learning researchers, sport scientists and coaches who are seeking to understanding the effort and load of players during game time. Analysis is enables across five dimensions: games, players, actions, duration and speed. In addition, the concept of an event groups together actions that belong to the same  sequence and enables analysis at a different level of abstraction.
DOI: 10.6084/m9.figshare.26414347
title: Global dietary estimates and analysis programs for "Global adherence to a healthy and sustainable diet and potential reduction in premature death"

description: Assessment of the current national and global adherence to the Planetary Health Diet (PHD) and estimate of the total and cause-specific mortality among adults 20 y of age and older that could be prevented by shifting from current diets to the reference PHD
DOI: 10.6084/m9.figshare.26414347.v1
title: Global dietary estimates and analysis programs for "Global adherence to a healthy and sustainable diet and potential reduction in premature death"

description: Assessment of the current national and global adherence to the Planetary Health Diet (PHD) and estimate of the total and cause-specific mortality among adults 20 y of age and older that could be prevented by shifting from current diets to the reference PHD
DOI: 10.3886/e207975v1
title: RRTC on Employment for People with Physical Disabilities (90RTEM0001) Project 2 - National Survey of People with Physical Disabilities

description: <b>Goals</b>: This Rehabilitation Research and Training Center seeks to promote job retention by persons with physical disabilities.

<b>Objective for </b>Project (2) Assess employer-, client-, job-, and
environment-related barriers and facilitators of job retention. <b>Overall Approach</b>: Conducted a national survey to people with physical disabilities in USA.
description: Response Rates: Used online research company for recruiting.
description: People with Physical Disabilities<br>Eligibility criteria were age 18 years and older, English speaking, and had a physical disability as their primary disability. We defined a physical disability as a limitation of physical functioning, mobility, dexterity or stamina, which may limit activities of daily living. Because many people with neurological injuries or conditions do not consider themselves as having a physical disability, we asked potential participants if they have a brain injury, a neurological disorder, or multiple sclerosis. We excluded individuals with primarily vison or hearing disabilities and those who had never worked in a paid job.<br>
description: Research Project 2 - National Survey of People with Physical  Disabilities. Smallest Geographic Unit: United States of America
description: Online survey platform with a company that uses a proprietary online research panel, to recruit a demographically diverse sample of people with physical disabilities from the United States. The target distributions of our sample were pre-specified to be representative of the national population distribution by region (West: 24%, Midwest: 21%, South: 38%, Northeast: 17%), race (white: 76% vs. non-white: 24%), and level of education (high school graduation/GED or less: 38% vs. More than high school graduation/GED: 62%). We also sought to recruit a sub-sample of individuals with disabilities who did not return to work after their disability diagnosis or injury (did not return to work: 25% vs. returned to work: 75%).<br>
DOI: 10.15468/dl.7y7854
title: Occurrence Download

description: A dataset containing 14498 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Costa Rica",
 "OccurrenceStatus is Present",
 "TaxonKey is Procnias tricarunculatus (J.Verreaux & E.Verreaux, 1853)"
 ]
}

 The dataset includes 14498 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043575-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26245895.v2
title: Dataset for Ambiguous Resonances in Multipulse Quantum Sensing with NVs

description: This dataset contains simulations for ambiguous resonances present in XY8-M dynamical decoupling multipulse sequences with nitrogen vacancy (NV) color centers in diamonds. Over 10<sup>4</sup> combinations of experimental parameters as the order M, magnetic field B<sub>0</sub>, misalignment angle θ and <sup>13</sup>C families are considered for ambiguous resonances arising from <sup>15</sup>N and <sup>13</sup>C nuclear spins coupled to NVs. For a detailed discussion about the physics of these ambiguous resonances please refer to the arXiv paper at the related materials.<br>For efficient storage and quick retrieval, the dataset is provided as an HDF5 file (dataset.h5), which can be visualized via the graphical user interface (GUI) provided here (dataset_gui.py). Both of the files should be downloaded and stored in the same folder. The GUI is based on the Python bindings for Qt6, with dependencies on NumPy, Matplotlib, PyQt6/PySide6, HDF5 and PyTables packages. Thus, we recommend creating a conda virtual environment with:<b>conda create --name dataset-env python</b><b>conda activate dataset-env</b><b>conda install numpy matplotlib pyside6 pytables</b>To launch the GUI, one can simply run the following command in the cloned repository within the conda environment:<b>python dataset_gui.py</b>This will launch the GUI with the standard HDF5 file. However, if the user wants to have a different dataset file or different path, the --dataset flag can be used as follows:<b>python dataset_gui.py --dataset /PATH/CUSTOM_DATASET.hdf5</b>The use of the GUI is intuitive and self-explanatory. There are two tabs, one for <sup>15</sup>N and the other for <sup>13</sup>C ambiguous resonances. The m<sub>s</sub> state of the electronic spin transition needs to be chosen, with the order M of the XY8 sequence, the bias magnetic field B<sub>0</sub>, minimum and maximum tau or f range. In addition, for <sup>15</sup>N, the misalignment angle θ must be specified and for <sup>13</sup>C, the carbon family. The expected resonances from the gyromagnetic ratios of other nuclear spins can also be compared with. A text file with experimental data can be plotted together with the simulation for spectral disambiguation, with the conditions that it can be read by numpy.loadtxt and its first column representing τ or f in the correct units and the second indicating the XY8 intensity. Finally, the plot can be customized and exported. New simulations for ambiguous resonances will be continuously added to the dataset. Continued open-source development of the GUI occurs at https://github.com/QISS-HZB/ambiguous-resonances-dataset.Dataset: version 1.1GUI: version 1.1
DOI: 10.15468/dl.bz4fdf
title: Occurrence Download

description: A dataset containing 7827 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "TaxonKey is Ixodidae"
 ]
}

 The dataset includes 7827 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043576-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8mcx3s
title: Occurrence Download

description: A dataset containing 9133706 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "PublishingOrg is bc092ff0-02e4-11dc-991f-b8a03c50a862"
 ]
}

 The dataset includes 9133706 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043566-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.byxmr6
title: Occurrence Download

description: A dataset containing 2221 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (EW, CR, EN)",
 "TaxonKey is Felidae"
 ]
}

 The dataset includes 2221 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043578-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13145121
title: THE ROLE OF DISPUTE IN BUSINESS DEVELOPMENT AND THE ISSUE OF LEGAL REGULATION
DOI: 10.5281/zenodo.13145122
title: THE ROLE OF DISPUTE IN BUSINESS DEVELOPMENT AND THE ISSUE OF LEGAL REGULATION
DOI: 10.15468/dl.b46bdc
title: Occurrence Download

description: A dataset containing 19133534 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Fungi"
 ]
}

 The dataset includes 19133534 records from 1718 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043565-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k8e5wz
title: Occurrence Download

description: A dataset listing the 18 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Geometry POLYGON((78.06332 40.38008,95.41243 40.38008,95.41243 48.91282,78.06332 48.91282,78.06332 40.38008))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bupleurum L."
 ]
}

 The dataset's 18 records were derived from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004100-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.