cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.vxz7nw
title: Occurrence Download

description: A dataset containing 99 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hyperolius frontalis Laurent, 1950"
 ]
}

 The dataset includes 99 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005449-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-09.2890657/2459508
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2890659/2459509
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2890661/2459510
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2890663/2459511
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2890665/2459512
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2890672/2459513
title: Data for EMSL Project 51287 from September 2023
DOI: 10.20350/digitalcsic/16593
title: Evaluation of power cycling and charge capacity in Cu/Zn batteries with unwired bipolar electrodes immersed

description: -Data to be open with Origin Pro -Data obtained from experiments above as described in paper -Cu and Zn electrodes in Copper and zinc suphate electrolyte as described in the paper, subject to charge discharge cycles
description: Evaluation of changes in cahrage caapcity, power, current densities in Cu/Zn in neutral pH, in presence of bipolar unwired electrodes in various configurations
description: Capacities, current densities, CV , impedances and power measurements
DOI: 10.25582/data.2023-09.2890674/2459514
title: Data for EMSL Project 51287 from September 2023
DOI: 10.20350/digitalcsic/16594
title: Intense and Stable Blue Light Emission from CsPbBr3/Cs4PbBr6 Heterostructures Embedded in Transparent Nanoporous Films

description: Lead halide perovskite nanocrystals are attractive for light emitting devices both as electroluminescent and color converting materials, since they combine intense and narrow emissions with good charge injection and transport properties. However, while most perovskite nanocrystals shine at green and red wavelengths, the observation of intense and stable blue emission still remains a challenging target. In this work, we report a method to attain intense and enduring blue emission (470-480 nm), with a photoluminescence quantum yield (PLQY) of 40%, originated from very small CsPbBr3 nanocrystals (diameter&lt;3nm) formed by controllably exposing Cs4PbBr6 to humidity. This process is mediated by the void network of a mesoporous transparent scaffold in which the zero-dimensional Cs4PbBr6 lattice is embedded, which allows the fine control over water adsorption and condensation that determines the optimization of the synthetic procedure and, eventually, the nanocrystal size. Our approach provides a means to attain highly efficient transparent and stable blue light emitting films that complete the palette offered by perovskite nanocrystals for lighting and display applications.
description: File List: f2 f2b.txt; f2c.txt; f3 f3a.txt; f3b.txt; f3d.txt; f3e.txt; f4 f4a.txt; f4c.txt; f4e.txt; f4g.txt; f5 f5a.txt; f5b.txt;
DOI: 10.25582/data.2023-09.2890686/2459515
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2890691/2459516
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2890707/2459517
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2890785/2459518
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2890789/2459519
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2890790/2459520
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2890798/2459521
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2890799/2459522
title: Data for EMSL Project 51287 from September 2023
DOI: 10.15468/dl.wqyhby
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Noblella thiuni Catenazzi & Ttito, 2019"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005451-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-09.2890806/2459523
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2890817/2459524
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2890833/2459525
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2890834/2459526
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2890845/2459527
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2890847/2459528
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2890853/2459529
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2890856/2459530
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2890858/2459531
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2890861/2459532
title: Data for EMSL Project 51287 from September 2023
DOI: 10.15468/dl.adz5qe
title: Occurrence Download

description: A dataset containing 43296 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Latrodectus Walckenaer, 1805"
 ]
}

 The dataset includes 43296 records from 176 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005450-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-09.2890863/2459533
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2890864/2459534
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2890866/2459535
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2890868/2459536
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2890869/2459537
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2890870/2459538
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2890871/2459539
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2890872/2459540
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2890876/2459541
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2890877/2459542
title: Data for EMSL Project 51287 from September 2023
DOI: 10.15468/dl.k6f37d
title: Occurrence Download

description: A dataset containing 167 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dipodomys elator Merriam, 1894"
 ]
}

 The dataset includes 167 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005453-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-09.2890879/2459543
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2890896/2459544
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2890899/2459545
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2890910/2459546
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2890919/2459547
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2890939/2459548
title: Data for EMSL Project 51287 from September 2023
DOI: 10.15468/dl.sezmrs
title: Occurrence Download

description: A dataset containing 1791 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hyperolius fusciventris Peters, 1876"
 ]
}

 The dataset includes 1791 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005454-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-09.2890940/2459549
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2890941/2459550
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2890946/2459551
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2890955/2459552
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2890958/2459553
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2890965/2459554
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2890986/2459555
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2890987/2459556
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2890990/2459557
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2890995/2459558
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891004/2459559
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891006/2459560
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891007/2459561
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891012/2459562
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891014/2459563
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891015/2459564
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891017/2459565
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891018/2459566
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891027/2459567
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891028/2459568
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891029/2459569
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891034/2459570
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891042/2459571
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891053/2459572
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891054/2459573
title: Data for EMSL Project 51287 from September 2023
DOI: 10.15468/dl.52du2h
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anomaloglossus shrevei (Rivero, 1961)"
 ]
}

 The dataset includes 23 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005455-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-09.2891068/2459574
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891099/2459575
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891100/2459576
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891101/2459577
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891105/2459578
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891112/2459579
title: Data for EMSL Project 51287 from September 2023
DOI: 10.15468/dl.v89zdn
title: Occurrence Download

description: A dataset containing 973 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hyperolius glandicolor Peters, 1878"
 ]
}

 The dataset includes 973 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005456-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-09.2891113/2459580
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891114/2459581
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891116/2459582
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891119/2459583
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891124/2459584
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891146/2459585
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891147/2459586
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891164/2459587
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891167/2459588
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891170/2459589
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891175/2459590
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891178/2459591
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891181/2459592
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891193/2459593
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891194/2459594
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891195/2459595
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891197/2459596
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891198/2459597
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891203/2459598
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891204/2459599
title: Data for EMSL Project 51287 from September 2023
DOI: 10.15468/dl.4v9kur
title: Occurrence Download

description: A dataset containing 1429672 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is one of (Malaysia, Philippines, Indonesia, Viet Nam, Lao People’s Democratic Republic, Cambodia, Myanmar, Brunei Darussalam, Singapore, Timor-Leste, Thailand)",
 "GbifRegion is Asia",
 "TaxonKey is Plantae",
 "Year 1950-2024"
 ]
}

 The dataset includes 1429672 records from 638 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005447-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-09.2891206/2459600
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891213/2459601
title: Data for EMSL Project 51287 from September 2023
DOI: 10.15468/dl.22t78v
title: Occurrence Download

description: A dataset containing 179 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oreonectes Günther, 1868"
 ]
}

 The dataset includes 179 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005457-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-09.2891217/2459602
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891222/2459603
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891234/2459604
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891249/2459605
title: Data for EMSL Project 51287 from September 2023
DOI: 10.6084/m9.figshare.24923554
title: Ascorbic acid: a metabolite switch for designing stress-smart crops

description: Plant growth and productivity are continually being challenged by a diverse array of abiotic stresses, including: water scarcity, extreme temperatures, heavy metal exposure, and soil salinity. A common theme in these stresses is the overproduction of reactive oxygen species (ROS), which disrupts cellular redox homeostasis causing oxidative damage. Ascorbic acid (AsA), commonly known as vitamin C, is an essential nutrient for humans, and also plays a crucial role in the plant kingdom. AsA is synthesized by plants through the d-mannose/l-galactose pathway that functions as a powerful antioxidant and protects plant cells from ROS generated during photosynthesis. AsA controls several key physiological processes, including: photosynthesis, respiration, and carbohydrate metabolism, either by acting as a co-factor for metabolic enzymes or by regulating cellular redox-status. AsA’s multi-functionality uniquely positions it to integrate and recalibrate redox-responsive transcriptional/metabolic circuits and essential biological processes, in accordance to developmental and environmental cues. In recognition of this, we present a systematic overview of current evidence highlighting AsA as a central metabolite-switch in plants. Further, a comprehensive overview of genetic manipulation of genes involved in AsA metabolism has been provided along with the bottlenecks and future research directions, that could serve as a framework for designing “stress-smart” crops in future.
DOI: 10.6084/m9.figshare.24923554.v1
title: Ascorbic acid: a metabolite switch for designing stress-smart crops

description: Plant growth and productivity are continually being challenged by a diverse array of abiotic stresses, including: water scarcity, extreme temperatures, heavy metal exposure, and soil salinity. A common theme in these stresses is the overproduction of reactive oxygen species (ROS), which disrupts cellular redox homeostasis causing oxidative damage. Ascorbic acid (AsA), commonly known as vitamin C, is an essential nutrient for humans, and also plays a crucial role in the plant kingdom. AsA is synthesized by plants through the d-mannose/l-galactose pathway that functions as a powerful antioxidant and protects plant cells from ROS generated during photosynthesis. AsA controls several key physiological processes, including: photosynthesis, respiration, and carbohydrate metabolism, either by acting as a co-factor for metabolic enzymes or by regulating cellular redox-status. AsA’s multi-functionality uniquely positions it to integrate and recalibrate redox-responsive transcriptional/metabolic circuits and essential biological processes, in accordance to developmental and environmental cues. In recognition of this, we present a systematic overview of current evidence highlighting AsA as a central metabolite-switch in plants. Further, a comprehensive overview of genetic manipulation of genes involved in AsA metabolism has been provided along with the bottlenecks and future research directions, that could serve as a framework for designing “stress-smart” crops in future.
DOI: 10.25582/data.2023-09.2891251/2459606
title: Data for EMSL Project 51287 from September 2023
DOI: 10.6084/m9.figshare.24707782
title: Utilizing proteomics to identify and optimize microalgae strains for high-quality dietary protein: a review

description: Algae-derived protein has immense potential to provide high-quality protein foods for the expanding human population. To meet its potential, a broad range of scientific tools are required to identify optimal algal strains from the hundreds of thousands available and identify ideal growing conditions for strains that produce high-quality protein with functional benefits. A research pipeline that includes proteomics can provide a deeper interpretation of microalgal composition and biochemistry in the pursuit of these goals. To date, proteomic investigations have largely focused on pathways that involve lipid production in selected microalgae species. Herein, we report the current state of microalgal proteome measurement and discuss promising approaches for the development of protein-containing food products derived from algae.
DOI: 10.6084/m9.figshare.24707782.v1
title: Utilizing proteomics to identify and optimize microalgae strains for high-quality dietary protein: a review

description: Algae-derived protein has immense potential to provide high-quality protein foods for the expanding human population. To meet its potential, a broad range of scientific tools are required to identify optimal algal strains from the hundreds of thousands available and identify ideal growing conditions for strains that produce high-quality protein with functional benefits. A research pipeline that includes proteomics can provide a deeper interpretation of microalgal composition and biochemistry in the pursuit of these goals. To date, proteomic investigations have largely focused on pathways that involve lipid production in selected microalgae species. Herein, we report the current state of microalgal proteome measurement and discuss promising approaches for the development of protein-containing food products derived from algae.
DOI: 10.25582/data.2023-09.2891273/2459607
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891274/2459608
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891299/2459609
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891344/2459610
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891403/2459611
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891421/2459612
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891434/2459613
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891467/2459614
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891471/2459615
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891472/2459616
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891473/2459617
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891474/2459618
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891475/2459619
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891476/2459620
title: Data for EMSL Project 51287 from September 2023
DOI: 10.34740/kaggle/ds/5848916
title: 🇺🇸 US Zip Codes Database (Oct 04 2024 update)
DOI: 10.25582/data.2023-09.2891477/2459621
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891478/2459622
title: Data for EMSL Project 51287 from September 2023
DOI: 10.25582/data.2023-09.2891479/2459623
title: Data for EMSL Project 51287 from September 2023
DOI: 10.15468/dl.bhd8c9
title: Occurrence Download

description: A dataset containing 17100407 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((67.91982 20.64919,75.00173 19.95213,78.83594 19.56089,86.49679 25.24439,87.83459 29.26378,88.03829 36.65664,72.80279 38.29802,57.87667 35.65083,58.56941 32.62849,58.41292 28.24654,57.36401 26.45729,62.63837 23.70809,66.55082 21.75186,67.91982 20.64919))"
 ]
}

 The dataset includes 17100407 records from 1462 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005452-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.