cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/h6sr2ys5yf.1
title: Coral bleaching from nutrient perspective is understudied: a bibliometric survey

description: Raw data used in this study
DOI: 10.17632/s6935cxxkf.1
title: Performance progression and variability in 100m freestyle Paralympic swimmers: A comparison of medallists and para classifications

description: Longitudinal swim times for 100m para swimmers across two Paralympic cycles
DOI: 10.17632/mzkx83bnr9.1
title: Number vs voltage recording data set for Schumann's resonance analysis at 250 samples per second

description: In this study background environmental Schumann's resonance was recorded utilizing a portable coil antenna and detection circuit. The detection circuit was battery powered and enclosed in a metal box. 19mm PVC pipe and fittings were used to build a regular octagonal antenna frame with side length of 40cm. The coil antenna was oriented east to west and located at 10.66457701467502 degrees north latitude, 61.11573950258856 degrees west longitude in the northern range of Trinidad away from the 60Hz national electricity grid. 50 independent 35-minute data sets were obtained during the local time period of 09:30 AM to 6:30 PM on different days between the dates 20th February 2022 and 11th May 2022. These data sets were utilized to derive estimates of the first 4 Shumann's resonance frequency peaks. In addition, the input to the Schumann's resonance detection circuit used in this study was connected to ground and the corresponding noise output was recorded for 35 minutes at a sample frequency of 250 samples per second. This noise file is also included. The data files are labeled R1 to R50. A folder-note file is also included indicating the date that each data file was recorded.
DOI: 10.17632/ctdzyt6v6v.1
title: Data and code for: Originating from fact-finding but ending with damaged life satisfaction: Misery of rumor sharers during the COVID-19 pandemic

description: Data and code for: Originating from fact-finding but ending with damaged life satisfaction: Misery of rumor sharers during the COVID-19 pandemic
DOI: 10.17632/7nm9rfd78x.1
title: Mesoporous boron nitride in contact with water - chemical stability and adsorption properties

description: In this research project we synthesized two different porous boron nitrides - a mesoporous one (BN-meso) and a reference micro-mesoporous one (BN-ref). Our goal was to identify the influence of different pore sizes towards the chemical stability of these materials. We focussed mainly on water, as it is present in a significant amount of industrial adsorption applications. The samples were exposed to humid air, water vapor and liquid water for multiple weeks. Prior to and after this exposure we characterized the materials with XRD, XPS, SEM, mercury intrusion,  ATR-IR, TG and nitrogen sorption. Additionally, we calculated pore size distributions using QSDFT for the adsorption branch of nitrogen sorption at 77 K on carbon with slit and cylindrical pores. Based on the water vapor adsorption isotherms and pore size distributions we conclude that mesoporous BN ist stable against water in the vapor phase. Micro-mesoporous BN is stable neither towards vapor nor liquid water.
DOI: 10.17632/4zhjc3sj8d.1
title: Instances for secure container loading under multi-drop and axle weight constraints

description: The instances are designed to solve the Cargo Securing Problem under Multi-Drop and Axle Weight Constraints (CSP-MD-AW). The data set can be utilized for loading and packing of rectangular items with multiple customers or item groups as well as weight-related restrictions. Each file is designed as follows:
- The first line has two entries which indicate the number of customers/groups and the number of items/pallets.
- Each of the remaining lines provide the details of a rectangular item in five entries: item ID, customer/group ID, dimensions in centimeters (long-edge length and short-edge length) and weight in kilograms.

For example, the NII-P7C3M file below corresponds to an instance with 7 items from 3 customers. Items 0 and 1 belong to customer 1, items 2, 3, and 4 belong to customer 2 and items 5 and 6 belong to customer 3. 

3	7
0	1	120	80	500
1	1	120	80	500
2	2	120	80	1500
3	2	120	80	1500
4	2	120	80	1500
5	3	120	100	2400
6	3	120	100	2400

The file IDs contain information about the number of items and customers as well as weight and dimension categories. We refer to the original paper "Cargo securing under multi-drop and axle weight constraints" for the details of these categories.
DOI: 10.3886/e152203v1
title: Data and Code for: Migrants and Firms: Evidence from China

description: This project provides data and code used in the article "Migrants and Firms: Evidence from China"<br> <br>Abstract: How does rural-urban migration shape urban production in developing countries? We use longitudinal data on Chinese manufacturing firms between 2000 and 2006, and exploit exogenous variation in rural-urban migration induced by agricultural income shocks for identification. We find that, when immigration increases, manufacturing production becomes more labor-intensive and productivity declines. We investigate the reorganization of production using patent applications and product information. We show that rural-urban migration induces both labor-oriented technological change and the adoption of labor intensive product varieties.<br><br><br>
description: Above-scale manufacturing firms in China<br>.
DOI: 10.17632/29pbs54x98.1
title: LINF_300007500

description: ubiquitin hydrolase
Leishmania infantum (strain JPCM5)
DOI: 10.17632/r42rvrthc6.1
title: LINF_300007400

description: hypothetical protein - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.17632/2twb6w3vfv.1
title: LINF_300007300

description: Mitochondrial carrier protein
Leishmania infantum (strain JPCM5)
DOI: 10.17632/7dpb82y8j5.2
title: The Role of Angiotensin Receptor Blocker (Losartan) on Decreasing Fibrotic Process of Corpora Cavernosa in Priapism Model of Wistar Rats 

description: Data Publish to F1000 journal
DOI: 10.35077/yes
title: fMOST_cells_190132

description: This dataset comes from combining genetic labeling with fMOST to achieve a genetically targeted single neuron saturation screen of major classes of cortical projection neurons in the sensorimotor system.
description: Imaging: TDI; Virus: AAV
description: DATASET METADATA: title:'fMOST_cells_190132', GeneralModality:'cell morphology', Technique:'fMOST; neuron morphology reconstruction' SPECIMEN METADATA: LocalID:'190132', Species:'mouse', NCBITaxonomy:'NCBI:txid10090', Age:'16', Ageunit:'Weeks', Sex:'Female', Genotype:'PlxnD1-2A-creER*LSL-Flpo', OrganName:'Brain', Locations:'Mop' INSTRUMENT METADATA: MicroscopeType:'fMOST' IMAGE METADATA: yAxis:'inferior-to-superior', zAxis:'anterior-to-posterior', Number:'1, gray', displayColor:'(0.8, 0.8, 0.8)', stepSizeX:'0.35 micron/pixel', stepSizeY:'0.35 micron/pixel', stepSizeZ:'1 micron/pixel'
DOI: 10.17632/8my2tbxkpg.1
title: Aerobic glycolysis promotes tumor immune evasion by hexokinase 2-mediated phosphorylation of IκBα

description: This data includes all the uncropped blots images and raw data for the columns in all figures.
DOI: 10.17632/m3p9m9vc4g.3
title: ExAgBov: a public database of annotated variations from hundreds of bovine whole-exome sequencing samples

description: ExAgBov: A public database of annotated variations from hundreds of bovine whole-exome sequencing samples

Rotem Raz1,2, Zvi Roth2 and Moran Gershoni1*

1.	Department of Ruminant Science, Institute of Animal Sciences, Agricultural Research Organization, The Volcani Center, Rishon LeZion 7505101, Israel
2.	Department of Animal Sciences, Robert H. Smith Faculty of Agriculture, Food and Environment, the Hebrew University, Rehovot 76100, Israel.

*Corresponding author: Moran Gershoni (gmoran@volcani.agri.gov.il)

Abstract
Large reference datasets of annotated genetic variations from genome-scale sequencing are essential for interpreting identified variants, their functional impact, and their possible contribution to diseases and traits. However, to date, no such database of annotated variation from broad cattle populations is publicly available. To overcome this gap and advance bovine NGS-driven variant discovery and interpretation, we obtained and analyzed raw data deposited in the SRA public repository. Short reads from 262 whole-exome sequencing samples of Bos Taurus were mapped to the Bos Taurus ARS-UCD1.2 reference genome. The GATK best practice workflow was applied for variant calling. Comprehensive annotation of all recorded variants was done using the Ensembl Variant Effect Predictor (VEP). An in-depth analysis of the population structure revealed the breeds comprising the database. The Exomes Aggregate of Bovine- ExAgBov is a comprehensively annotated dataset of more than 20 million short variants, of which ~2% are located within open reading frames, splice regions, and UTRs, and more than 60,000 variants are predicted to be deleterious. 


The following files are available:
1. BovExAg.DB.TSV+DP.filtered = The filtered database file. includes variants that pass the quality filtration for the read quality and depth of coverage (see Raz R. et al.)
2. ExAgBov.DB.TSV.gz = The database file with all the annotated variants and the supporting information
3. ExAgBov.DP.all-var.csv.gz = The depth of coverage of all variants in all samples
4. SRA.ID+breed.csv = The SRA ID of the ExAgBov WES samples including the sample breed whenever available in the metadata
5. ExAgBov.SRA.metadata.txt = The complete metadata file of all the WES samples included in the ExAgBov database
DOI: 10.17632/mjg5s9p4wp.3
title: Monthly average satellite-estimated dataset of phytoplankton size class in the coastal area of China during a period of 2002 - 2021

description: Based on the sea surface remote sensing reflectance products of MODIS/Aqua sensors from 2002-08 to 2021-07, and the PSC remote sensing inversion model constructed by Sun et al. (2019), PSC long-term data set is produced. The dataset contains the phytoplankton size classes (Fm, Fn, and Fp) in the Bohai Sea, the Yellow Sea, and the East China Sea from Aug. 2002 to Jul. 2021.  The data set is stored in the standard format of Matlab and contains 228 files in total, which are easy to read by each software.  
The statistical results of the long-term distribution of PSCs based on this dataset show that the coastal waters are mainly enriched by microphytoplankton, while the offshore waters are primarily dominated by nanophytoplankton. Judging from the multi-year monthly averaged PSCs in five specific areas, taking microphytoplankton as an example, there are "double peaks" in spring (May) and summer (July) in the center of the Bohai Sea and the mouth of the Yangtze River, while the North Yellow Sea area presents a spring (April), autumn (October) peak feature. Meanwhile, the spring peaks in the offshore waters of the South Yellow Sea and the East China Sea are more significant in April and March, respectively.
DOI: 10.17632/gg49jmrfcd.1
title: Data for modeling CSP and PV solar power systems

description: Data about computer simulations of 9 different concentrated solar power (CSP) and photovoltaic (PV)  systems.
The simulation tool used is the software program Energy3D. Auxiliary simulation data are included, using the online solar simulation tools PVGIS and PVWhatts.
DOI: 10.17632/wv3yjp433s.1
title: LINF_300008000

description: hypothetical protein - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.17632/gbygtb5pdf.1
title: LINF_300007900

description: hypothetical protein - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.17632/rc6pv36k3g.1
title: LINF_300007800

description: mitoribosomal protein mL90
Leishmania infantum (strain JPCM5)
DOI: 10.17632/2z38y8n2xb.1
title: LINF_300007700

description: AUT2/APG4/ATG4 cysteine peptidase | ATG4.2
Leishmania infantum (strain JPCM5)
DOI: 10.17632/dz3vvfgph3.1
title: LINF_300007600

description: mitochondrial RNA binding protein 1 | MRB1680 | KH2F1
Leishmania infantum (strain JPCM5)
DOI: 10.17632/m5d7r2rjx6.2
title: LAI Estimations of Coffee Hedges through different methods.

description: The attached excel file has the datasets for the process described on the paper submitted by Castro-Pacheco et al, with the title "Visual Assessment of Leaf Area Index in Coffee (Coffea arabica L.) Fields."

Two datasets are shown and described. 

First, a main dataset containing the results from the the first experimentations done, in which the Leaf Area Index (LAI) was estimated with three different approaches on 80 different sampling points. These approaches were: direct defoliation, visual assesment from trained persons, and through the use of specialized equipment (LICOR LAI-2200C  or Accupar LP-80 Ceptometer).

The second -supplementary- dataset corresponds to a second experimentation done, which included 40 sampling points. In these points, LAI was still estimated with the  same three approaches, but two different protocols were tested with the instruments.
DOI: 10.15156/bio/sh314259.07fu
title: SH314259.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1677706.08fu
title: SH1677706.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1677707.08fu
title: SH1677707.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1677708.08fu
title: SH1677708.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh314260.07fu
title: SH314260.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh314261.07fu
title: SH314261.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1677709.08fu
title: SH1677709.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1677710.08fu
title: SH1677710.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1677711.08fu
title: SH1677711.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.