cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3776292
title: Project files provided as supporting information to the manuscript "An information theory-based approach for optimal model reduction of biomolecules"

description: The dataset contains the following files: - adenylate.zip - antitrypsin.zip - tamapin.zip - analysis_notebooks.zip Each of these refers to one of three proteins. For each CG sites number N, each compressed folder contains the following files: random mappings (random_mappings_${N}.txt) random mapping entropies (random_smaps_${N}.txt) [fig1] optimal mappings (lowest_mappings_${N}.txt) [fig3, fig4, figS2] optimal mapping entropies (lowest_smaps_${N}.txt) [fig1] pdb files with conservations probabilities in the beta factor column (${N}_probs.pdb) [fig4, figs2] SASA values (${protein_name}_SASA_residues.xvg transition mapping entropies (${protein_name}_transition_smaps.txt) [fig2] additional transition mapping entropies (${protein_name}_transition_smaps*) [figs3] The file analysis_notebooks.zip contains the python3 notebooks employed to perform all the analysis present in the paper: paper_analysis_adenylate.ipynb paper_analysis_antitrypsin.ipynb paper_analysis_tamapin.ipynb Packages required for the usage of these python 3 scripts: - numpy<br> - pandas<br> - matplotlib<br> - seaborn<br>
DOI: 10.5281/zenodo.3776293
title: Project files provided as supporting information to the manuscript "An information theory-based approach for optimal model reduction of biomolecules"

description: The dataset contains the following files: - adenylate.zip - antitrypsin.zip - tamapin.zip - analysis_notebooks.zip Each of these refers to one of three proteins. For each CG sites number N, each compressed folder contains the following files: random mappings (random_mappings_${N}.txt) random mapping entropies (random_smaps_${N}.txt) [fig1] optimal mappings (lowest_mappings_${N}.txt) [fig3, fig4, figS2] optimal mapping entropies (lowest_smaps_${N}.txt) [fig1] pdb files with conservations probabilities in the beta factor column (${N}_probs.pdb) [fig4, figs2] SASA values (${protein_name}_SASA_residues.xvg transition mapping entropies (${protein_name}_transition_smaps.txt) [fig2] additional transition mapping entropies (${protein_name}_transition_smaps*) [figs3] The file analysis_notebooks.zip contains the python3 notebooks employed to perform all the analysis present in the paper: paper_analysis_adenylate.ipynb paper_analysis_antitrypsin.ipynb paper_analysis_tamapin.ipynb Packages required for the usage of these python 3 scripts: - numpy<br> - pandas<br> - matplotlib<br> - seaborn<br>
DOI: 10.6073/pasta/ce7f30e6013e003bfe28c5fd7d4aed23
title: Baltimore Ecosystem Study: Stream metabolism data for core sites in Gwynns Falls

description: An ongoing component of the Baltimore urban long-term ecological research (LTER) project (Baltimore Ecosystem Study, BES) is the use of the watershed approach and monitoring of stream water quality to evaluate the integrated ecosystem functioning of Baltimore. The LTER research has focused on the Gwynns Falls watershed, which spans a gradient from highly urban, urban-residential, and suburban zones. In addition, a forested watershed serves as a reference. The long-term sampling network includes four longitudinal sampling sites along the Gwynns Falls mainstem, as well as several small (40-100 ha) watershed within or near the Gwynns Falls, providing data on water quality in different land use zones of the watersheds. Each study site is continuously monitored for discharge and is sampled weekly for water chemistry. Those data are available elsewhere on the BES website. We are interested in studying the bioreactivity of streams in our watersheds in an attempt to quantify how streams themselves may affect or be affected by water quality. To assess the bioreactivity of streams, we measure whole stream metabolism, which is an integrative metric which quantifies the production and consumption of energy by a stream ecosystem. Stream metabolism represents how energy is created (primary production) and used (respiration) within a stream; it can be thought of as a stream breathing, with primary production being similar to an inhale, and respiration as an exhale. We are monitoring stream metabolism in each of our long-term water quality monitoring stations by deploying sensors that record dissolve oxygen and temperature of the stream every five minutes, and we also have deployed light sensors to record irradiance every five minutes at long-term BES water chemistry streams, which is needed for metabolism modeling. In addition, each dissolved oxygen sensor is located near a USGS gage which estimates discharge every 15 minutes. We used USGS manual discharge estimations linked with channel geometry measurements to develop a unique discharge-stream depth relationship (contact AJ Reisinger for details). The combination of the USGS discharge data and our discharge-depth relationship allows us to estimate average daily discharge and depth. We have included these data as well as dissolved oxygen, temperature, and PAR, allowing metabolism to be scaled on an areal basis. Primary production and respiration of streams integrate all biological activity in a stream, and therefore are good metrics to assess the state of an ecosystem. These metrics can also be used to predict other ecosystem functions. This dataset includes all information needed for whole-stream metabolism modeling using the streammetabolizer R package. Data will updated as it becomes available from the core stream study sites (see http://md.water.usgs.gov/BES for a detailed description of these sites).
DOI: 10.17632/n93xpwdk6p.2
title: Measurement Model Data of Academic Resilience for Middle Seminary Students

description: This data was collected from Garum Seminary High School, Blitar (East Java), Indonesia. Data collection was performed using a student academic resilience questionnaire. Participants involved 113 students of Garum Seminary High School, who were given the task of answering statements with 5 alternative answers (strongly disagree to strongly agree). Scoring for favorable items starting from 1 (strongly disagree) to 5 (strongly agree). Scoring for unfavorable Items starting from 5 (strongly disagree) to 1 (strongly agree).
DOI: 10.17632/n93xpwdk6p.3
title: Measurement Model Data of Academic Resilience for Middle Seminary Students

description: This data was collected from Garum Seminary High School, Blitar (East Java), Indonesia. Data collection was performed using a student academic resilience questionnaire. Participants involved 113 students of Garum Seminary High School, who were given the task of answering statements with 5 alternative answers (strongly disagree to strongly agree). Scoring for favorable items starting from 1 (strongly disagree) to 5 (strongly agree). Scoring for unfavorable Items starting from 5 (strongly disagree) to 1 (strongly agree).
DOI: 10.15468/hcvdjd
title: Revision of the Australian millipede genus Pogonosternum Jeekel, 1965, with descriptions of two new species (Diplopoda, Polydesmida, Paradoxosomatidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Decker, Peter, Mesibov, Robert, Voigtländer, Karin, Xylander, Willi E. R. (2017): Revision of the Australian millipede genus Pogonosternum Jeekel, 1965, with descriptions of two new species (Diplopoda, Polydesmida, Paradoxosomatidae). European Journal of Taxonomy 259: 1-34, DOI: http://dx.doi.org/10.5852/ejt.2017.259
DOI: 10.21227/0ann-vq33
title: Corona Virus (COVID-19) Geolocation-based Sentiment Data

description: This dataset contains the geolocation-based sentiment analysis data. The data is generated by an on-going project deployed at https://live.rlamsal.com.np. The geolocation data was extracted from the tweets which mentioned anything about "corona", "covid-19", "coronavirus" or the variants of "sars-cov-2". Complying with Twitter's data sharing policy, only the tweet IDs are shared. You can re-construct the dataset by hydrating these IDs. The tweet IDs in this dataset belong to the tweets tweeted with an exact location that contained any of the previously mentioned keywords.The data is available in two formats: CSV and JSON. I'll be sharing new files every day, and the files will be named period-wise. For example, april28-april29.* will contain tweet ID and sentiment data of the tweets that were tweeted between April 28, 2020, and April 29, 2020.If you're looking for Corona Virus (COVID-19) Tweets Dataset: http://dx.doi.org/10.21227/781w-ef42If you need the geolocation-based data starting March 20, 2020, then use the COVID-19 Tweets dataset and hydrate the IDs while adding the following condition:if data["coordinates"] is true; then use longitude, latitude = data["coordinates"]["coordinates"]
DOI: 10.17632/8647v7n6tn.1
title: Metabolomic dataset (CIRCULATING METABOLOME SIGNATURE OF PATIENTS WITH ACTIVE CUSHING SYNDROME)
DOI: 10.17632/8647v7n6tn.2
title: Metabolomic dataset (CIRCULATING METABOLOME SIGNATURE OF PATIENTS WITH ACTIVE CUSHING SYNDROME)
DOI: 10.5281/zenodo.3768730
title: The ECHAM/MESSy idealized (EMIL) model set-up: data of reference simulations

description: This data set contains the data from simulations performed with the ECHAM/MESSy IdeaLized (EMIL) dry dynamical core model, as presented in the GMD(D) publication by Garny et al., available under doi https://doi.org/10.5194/gmd-2019-330. For details, please refer to the enclosed data description file.
description: {"references": ["Garny, H., Walz, R., N\u00fctzel, M., and Birner, T.: Extending the Modular Earth Submodel System (MESSy v2.55) model hierarchy: The ECHAM/MESSy idealized (EMIL) model set-up, Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2019-330, in review, 2019."]}
DOI: 10.5281/zenodo.3768731
title: The ECHAM/MESSy idealized (EMIL) model set-up: data of reference simulations

description: This data set contains the data from simulations performed with the ECHAM/MESSy IdeaLized (EMIL) dry dynamical core model, as presented in the GMD(D) publication by Garny et al., available under doi https://doi.org/10.5194/gmd-2019-330. For details, please refer to the enclosed data description file.
description: {"references": ["Garny, H., Walz, R., N\u00fctzel, M., and Birner, T.: Extending the Modular Earth Submodel System (MESSy v2.55) model hierarchy: The ECHAM/MESSy idealized (EMIL) model set-up, Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2019-330, in review, 2019."]}
DOI: 10.5281/zenodo.3769939
title: The GIS database of Woodnat project for the inventory and monitoring of walnut plantation in Italy and Spain

description: The database contains 95 selected walnut plantations monitored with the financings of the H2020 WOODnat project in Italy and Spain and georeferenced in WGS84 reference system (EPSG 4326). For each plantation, stationary, cultural and climatic data are available; on a sample of 30 trees for each plot data of growth, wood quality and sanitary conditions are available. These data can be exploited to assess potential wood volume obtainable and quality of raw material, and to identify the weaknesses and errors, strengths and opportunities of the experiences conducted to plan future plantings with greater awareness.
DOI: 10.5281/zenodo.3769940
title: The GIS database of Woodnat project for the inventory and monitoring of walnut plantation in Italy and Spain

description: The database contains 95 selected walnut plantations monitored with the financings of the H2020 WOODnat project in Italy and Spain and georeferenced in WGS84 reference system (EPSG 4326). For each plantation, stationary, cultural and climatic data are available; on a sample of 30 trees for each plot data of growth, wood quality and sanitary conditions are available. These data can be exploited to assess potential wood volume obtainable and quality of raw material, and to identify the weaknesses and errors, strengths and opportunities of the experiences conducted to plan future plantings with greater awareness.
DOI: 10.17632/fxmn7p6fb4.2
title: Data for: Slope gradient controls soil thickness and chemical weathering in subtropical Brazil: understanding rates and timescales of regional soilscape evolution through a combination of field data and modeling

description: This data repository contains 3 main files: 1) Excel tables with: - Input and results of the synthetic model runs (Table S3) - Input and results of model applied to sampling locations (Table S4) - Soil profile description for each sampled location 2) Map with the coordinates of the sampling locations (.gpx and .shp format) 3) Text file containing the spectra of the scanned regional samples in the Mid- Infrared region (MIR). Spectra are given as absorbance and already corrected for possible drift by dividing by the background samples
DOI: 10.3886/e119183v1
title: Academic Achievement and Economic Attainment: Re-examining Associations Between Test Scores and Long-Run Earnings

description: Replication materials for:<br><br>Watts, T. W. (2020). Academic Achievement and Economic Attainment: Re-examining Associations Between Test Scores and Long-Run Earnings. AERA Open. <br><br>This project uses NCDS data to examine the association between adolescent achievement tests and adult earnings. Data are publicly available from the UK Data Service website (https://beta.ukdataservice.ac.uk/datacatalogue/series/series?id=2000032). Analysts are asked to create a username and password before accepting a license agreement for using the data.<br><br>A zip file has been posted here which contains a README document and a set of Stata do-files (i.e., analytic syntax files). The README provides details on the datasets that should be downloaded from the UK Data Service website to replicate the presented results, and also explains the ordering of the Stata do-files. The Stata do-files contain all of the code necessary to replicate the tables shown in the main text and supplementary material.
DOI: 10.15468/zaje4u
title: Rare freshwater sponges of Australasia: new record of Umborotula bogorensis (Porifera: Spongillida: Spongillidae) from the Sakaerat Biosphere Reserve in Northeast Thailand

description: This dataset contains the digitized treatments in Plazi based on the original journal article Ruengsawang, Nisit, Sangpradub, Narumon, Artchawakom, Taksin, Pronzato, Roberto, Manconi, Renata (2017): Rare freshwater sponges of Australasia: new record of Umborotula bogorensis (Porifera: Spongillida: Spongillidae) from the Sakaerat Biosphere Reserve in Northeast Thailand. European Journal of Taxonomy 260: 1-24, DOI: http://dx.doi.org/10.5852/ejt.2017.260
DOI: 10.15468/bujuxq
title: A revision of Palaearctic and Oriental Pseudolathra. V. Two new species from Cambodia and Thailand, and additional records (Coleoptera: Staphylinidae: Paederinae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Assing, Volker (2018): A revision of Palaearctic and Oriental Pseudolathra. V. Two new species from Cambodia and Thailand, and additional records (Coleoptera: Staphylinidae: Paederinae). Linzer biol. Beitr. 50 (2): 1005-1014, DOI: http://doi.org/10.5281/zenodo.3776207
DOI: 10.25835/0012955
title: Role of cellular architecture in protein re-balancing of the Brassica napus embryo

description: The trade-off between protein and oil storage in oilseed crops has been tested here in oilseed rape (Brassica napus) by analyzing the effect of suppressing key genes encoding protein storage products (napin, cruciferin). The phenotypic outcomes were assessed using magnetic resonance and mass spectrometry imaging, microscopy, transcriptomics, proteomics, metabolomics, lipidomics and immunological assays. Surprisingly, the storage product profile of the seeds of RNAi transgenics was rather moderately changed, but embryonic cells underwent remarkable architectural rearrangements. The most conspicuous structural changes featured the elaboration of membrane stacks enriched with oleosin (6-fold higher protein abundance). Protein rebalancing, amino acid and sulfur metabolism were focal points of the metabolic adjustments to maintain the carbon/nitrogen homeostasis of embryo. Flux balance analysis was evident for a rather minor additional demand for cofactors (ATP, NADPH). The conclusion was that cellular plasticity in the seed provides a buffer that protects against perturbations to its storage activity, and hence contributes materially to the homeostasis required to assure successful sexual reproduction. The study provides novel mechanistic insights into the intriguing linkage between lipid and protein storage, which have implications for biotechnological strategies directed at the improvement of oilseed crops.
DOI: 10.5519/qd.d35848gz
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1001 records)
DOI: 10.15468/b5pgjd
title: An enigmatic new genus and species of Anthophagini from Georgia (Coleoptera: Staphylinidae: Omaliinae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Assing, Volker (2018): An enigmatic new genus and species of Anthophagini from Georgia (Coleoptera: Staphylinidae: Omaliinae). Linzer biologische Beiträge 50 (2): 969-976, DOI: http://doi.org/10.5281/zenodo.3776456
DOI: 10.21227/m3mx-9h93
title: Laporan Penelitian Dosen Yayasan: Diagnosis of Coronavirus Disease 2019 (COVID-19) Surveillance Using C4.5 Algorithm

description: Diagnosis of Coronavirus Disease 2019 (COVID-19) Surveillance Using C4.5 Algorithm
DOI: 10.5066/p99jik6d
title: High-Resolution Aeromagnetic Survey Over the New Madrid Seismic Zone, Missouri, Arkansas, and Tennessee

description: This data release provides access to a low-altitude, aeromagnetic survey over parts of Missouri, Arkansas, and Tennessee, an area centered about 100 km north of Memphis, Tennessee. The survey covers parts of the southern arm of the New Madrid seismic zone, the northwestern margin of the Reelfoot rift, the Blytheville arch, and the Commerce geophysical lineament (reference: Langenheim, V.E., and Hildenbrand, T.G., 1997, Geological Society of America Bulletin, v. 109, p. 580). The survey is underlain by Paleocene and younger sediments, consisting of silt, clay, sand, and gravel. Plutons and other intrusive rocks lie at depth. These data were acquired between July 12 and July 28, 2013, by EDCON-PRJ, Inc., working under contract to the U.S. Geological Survey. The nominal flying height was based on a best fit, pre-planned, three-dimensional draped surface targeted at 200 m above terrain, subject to aircraft climb and descent limitations. The average terrain clearance was 203 m. Variable terrain clearance should be considered when modeling and interpreting these data. Flight lines were spaced 400 m apart and directed with a heading of 148 degrees east of north; tie lines were spaced 4000 m apart and directed 58 degrees east of north. A total of 12,868 line-kilometers were acquired over an area of approximately 4,646 square kilometers. The details of the New Madrid aeromagnetic survey are described in the document NewMadrid_Tech_Report.pdf available for download in this data release.
DOI: 10.21227/40nr-8q23
title: EEG Data for Patients Receiving Intravenous Antibiotic Medication

description: In this paper, we conduct a biological data collectionand analysis study for patients undergoing routine plannedtreatment. The acquired data (i.e., Electroencephalogram (EEG)and routine observational data such as temperature and bloodpressure) are processed using different machine learning anddeep learning models to learn the dynamic properties of brainelectrical activity from different patients. Thus, the primaryobjective of our study is the safe collection of EEG data frompatients receiving antibiotic therapy, in addition to analyzingthe acquired data for detecting the medication side effects, i.e.,that might indicate risk of seizure. Indeed, we propose twomachine learning models to analyze the acquired data fromdiverse patients: before, during, and after taking the medications.
DOI: 10.21227/qcg5-yd65
title: EEG Data for Patients Receiving Intravenous Antibiotic Medication

description: In this paper, we conduct a biological data collectionand analysis study for patients undergoing routine plannedtreatment. The acquired data (i.e., Electroencephalogram (EEG)and routine observational data such as temperature and bloodpressure) are processed using different machine learning anddeep learning models to learn the dynamic properties of brainelectrical activity from different patients. Thus, the primaryobjective of our study is the safe collection of EEG data frompatients receiving antibiotic therapy, in addition to analyzingthe acquired data for detecting the medication side effects, i.e.,that might indicate risk of seizure. Indeed, we propose twomachine learning models to analyze the acquired data fromdiverse patients: before, during, and after taking the medications.
DOI: 10.15468/bnxnrq
title: A revision of Geostiba of the West Palaearctic region. XXVI. New species and additional records, primarily from the Caucasus region (Coleoptera: Staphylinidae: Aleocharinae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Assing, Volker (2018): A revision of Geostiba of the West Palaearctic region. XXVI. New species and additional records, primarily from the Caucasus region (Coleoptera: Staphylinidae: Aleocharinae). Linzer biologische Beiträge 50 (2): 1033-1054, DOI: http://doi.org/10.5281/zenodo.3776388
DOI: 10.15468/uveuyz
title: A preliminary catalogue of the Hymenoptera (Insecta) of the Republic of Djibouti

description: This dataset contains the digitized treatments in Plazi based on the original journal article Madl, Michael (2018): A preliminary catalogue of the Hymenoptera (Insecta) of the Republic of Djibouti. Linzer biologische Beiträge 50 (2): 907-967, DOI: http://doi.org/10.5281/zenodo.3776452
DOI: 10.6073/pasta/895d04734af8380b486087d26d56d95b
title: Synthesized Dataset of Length-Weight Regression Coefficients for Delta Fish

description: This dataset is a compilation of length-weight regression coefficients for fish species commonly found in the freshwater tidal habitats of the San Francisco Estuary. This effort was born out of the Delta Smelt Resiliency Strategy Aquatic Weed Control Action study, which, in order to calculate fish biomass, needed to calculate individual fish weights from their measured lengths. The Aquatic Weed Control study was supported by Interagency Ecological Program through the Endangered Species Act and is included in the Interagency Ecological Program 2017-2019 workplan. Weight is estimated from length using the exponential function W=a L^b. These can be calculated using the linear regression of the log-transformed equation (log⁡(W)=log⁡(a)+b log(L)). This dataset provides the species-specific a and b parameters. Associated publication(s) and relevant metadata information are included. Data was obtained either via database (fishbase.us) or peer-reviewed scientific papers.
DOI: 10.15468/4ndpkn
title: First record of Caliscelis (Caliscelis) bonellii (L, 1807) (Hemiptera: Fulgoromorpha: Caliscelidae) from Turkey, with redescription of the species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Dursun, Ahmet, Fent, Meral (2018): First record of Caliscelis (Caliscelis) bonellii (L, 1807) (Hemiptera: Fulgoromorpha: Caliscelidae) from Turkey, with redescription of the species. Linzer biologische Beiträge 50 (2): 1061-1065, DOI: http://doi.org/10.5281/zenodo.3776430
DOI: 10.15468/mbj96y
title: A revision of Palaearctic and Oriental Scymbalium and Micrillus III. New species, new combinations, and additional records (Coleoptera: Staphylinidae: Paederinae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Assing, Volker (2018): A revision of Palaearctic and Oriental Scymbalium and Micrillus III. New species, new combinations, and additional records (Coleoptera: Staphylinidae: Paederinae). Linzer biologische Beiträge 50 (2): 977-996, DOI: http://doi.org/10.5281/zenodo.3776470