cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.e3grys
title: Occurrence Download

description: A dataset containing 300 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Daphne jezoensis Maxim.)"
 ]
}

 The dataset includes 300 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011189-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/5fz7-emb9
title: Measurement of Nitrogen oxides at Ulborg

description: Measurement of Nitrogen oxides at Ulborg
DOI: 10.48597/drvb-smzp
title: Measurement of Nitrogen oxides at Ulborg

description: Measurement of Nitrogen oxides at Ulborg
DOI: 10.15468/dl.vbpwv3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phoca ursina Linnaeus, 1758",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011191-241126133413365/datasets/export for details.
DOI: 10.15468/dl.ysqfgv
title: Occurrence Download

description: A dataset containing 393 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Monachus monachus (Hermann, 1779)"
 ]
}

 The dataset includes 393 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011190-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13942916
title: TABLE 2. — Principal factor analysis giving factors higher than 1 in Amphibians of Togo: taxonomy, distribution and conservation status

description: TABLE 2. — Principal factor analysis giving factors higher than 1, their individual variance and the cumulative variance of these six components.
FactorVariable123456RSVL–0.2990.7650.335–0.089–0.059–0.080RHW0.6730.5000.356–0.1360.175–0.097RHL0.8980.0130.1960.1060.000–0.016RMN0.8540.0180.0970.219–0.042–0.032RMFE0.8380.2900.1630.0160.015–0.149RMBE0.572–0.0620.210–0.273–0.118–0.062RIFE0.766–0.146–0.0680.2890.209–0.228RIBE0.7860.1190.212–0.0040.289–0.039RIN0.6130.1380.0410.1870.245–0.360REN0.265–0.181–0.1600.7760.0260.156REL0.8120.043–0.1360.0590.2750.074RTYD0.2430.7610.448–0.1600.0570.037RTYE–0.071–0.7960.157–0.337–0.048–0.168RIUE0.1180.0520.0270.8270.0390.017RUEW0.6720.4160.198–0.3560.250–0.111RFLL0.483–0.2030.1070.4320.007–0.534RHAL0.3960.2790.680–0.0500.263–0.043RTFL0.2510.1450.7650.1050.046–0.133RTL–0.154–0.5880.1560.604–0.0890.071RFOL0.2720.4650.713–0.1580.1690.122RFTL0.0140.0310.635–0.0280.0700.168RTFOL–0.144–0.712–0.2100.535–0.1890.105RIMT0.2630.6720.468–0.2650.163–0.212
description: Published as part of Segniagbeto, Gabriel Hoinsoudé, Ohler, Annemarie, Rödel, Mark-Oliver, Luiselli, Luca & Dubois, Alain, 2024, Amphibians of Togo: taxonomy, distribution and conservation status, pp. 647 in Zoosystema 46 (25) on page 647, DOI: 10.5252/zoosystema2024v46a25, http://zenodo.org/record/13907152
DOI: 10.5281/zenodo.14254267
title: Portimine A toxin causes skin pathology through ZAKα-dependent NLRP1 inflammasome activation: LC-MS/MS raw data for Figure 1. C

description: This dataset pertains to the LC-MS/MS analyses conducted as part of a study on microalgal toxins present in samples from Senegal, published in the paper entitled "Portimine A toxin causes skin pathology through ZAKα-dependent NLRP1 inflammasome activation." The data correspond to the quantification results of environmental samples presented in Figure 1C.

The raw data were acquired using Analyst software (Applied Biosystems proprietary software). The materials and methods used to generate these data are detailed in the associated publication in EMBO Molecular Medicine (ISSN: 1757-4676, 2024).
DOI: 10.5281/zenodo.14254268
title: Portimine A toxin causes skin pathology through ZAKα-dependent NLRP1 inflammasome activation: LC-MS/MS raw data for Figure 1. C

description: This dataset pertains to the LC-MS/MS analyses conducted as part of a study on microalgal toxins present in samples from Senegal, published in the paper entitled "Portimine A toxin causes skin pathology through ZAKα-dependent NLRP1 inflammasome activation." The data correspond to the quantification results of environmental samples presented in Figure 1C.

The raw data were acquired using Analyst software (Applied Biosystems proprietary software). The materials and methods used to generate these data are detailed in the associated publication in EMBO Molecular Medicine (ISSN: 1757-4676, 2024).
DOI: 10.15468/dl.aqh5cg
title: Occurrence Download

description: A dataset containing 715 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is DEU.9_1",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Phoca vitulina Linnaeus, 1758, Halichoerus grypus (Fabricius, 1791), Halichoerus grypus atlantica Nehring, 1886)"
 ]
}

 The dataset includes 715 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011194-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14258367
title: QCA-2024-SCC-GQ29860 R&D data

description: Project Code: QCA-2024-SCC-GQ29860.This project is classified as CONFIDENTIAL. All information, data, and results associated with this project are strictly restricted to authorized personnel only. Any dissemination, distribution, or copying of the project details is strictly prohibited without prior approval from the project lead and the university's Office of Research Compliance.
DOI: 10.5281/zenodo.14258368
title: QCA-2024-SCC-GQ29860 R&D data

description: Project Code: QCA-2024-SCC-GQ29860.This project is classified as CONFIDENTIAL. All information, data, and results associated with this project are strictly restricted to authorized personnel only. Any dissemination, distribution, or copying of the project details is strictly prohibited without prior approval from the project lead and the university's Office of Research Compliance.
DOI: 10.15468/dl.qzc92n
title: Occurrence Download

description: A dataset containing 1004 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sebastolobus macrochir (Günther, 1877)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1004 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011193-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13829453
title: Experimental data of "Analysis of battery-like and pseudocapacitive ion intercalation kinetics via distribution of relaxation times"

description: Improving the kinetics of electrochemical ion intercalation processes is of interest for realizing high-power electrochemical energy storage. This includes classical battery-like intercalation and pseudocapacitive intercalation processes with a capacitor-like electrochemical signature. Electrochemical methods are needed to probe the kinetics of such complex multistep processes in detail. Here, we present the use of the Distribution of Relaxation Times (DRT) analysis of electrochemical impedance data to identify the kinetic limits of intercalation reactions. We study the lithium intercalation reaction in TiS2 from organic and aqueous electrolytes as a model system. The material can exhibit both battery-like and pseudocapacitive intercalation regimes depending on the potential range, variable diffusion lengths by adjusting its particle size, and a tunable degree of solvent cointercalation by choosing the electrolyte solvent. Using DRT, we can distinguish between the kinetic limitations imposed by solid-state ion diffusion, interfacial ion adsorption and transport, and ion desolvation processes. Thus, DRT analysis can complement existing methods, such as voltammetry or 3D-Bode analysis, to better understand the kinetics of intercalation reactions.
DOI: 10.5281/zenodo.13829454
title: Experimental data of "Analysis of battery-like and pseudocapacitive ion intercalation kinetics via distribution of relaxation times"

description: Improving the kinetics of electrochemical ion intercalation processes is of interest for realizing high-power electrochemical energy storage. This includes classical battery-like intercalation and pseudocapacitive intercalation processes with a capacitor-like electrochemical signature. Electrochemical methods are needed to probe the kinetics of such complex multistep processes in detail. Here, we present the use of the Distribution of Relaxation Times (DRT) analysis of electrochemical impedance data to identify the kinetic limits of intercalation reactions. We study the lithium intercalation reaction in TiS2 from organic and aqueous electrolytes as a model system. The material can exhibit both battery-like and pseudocapacitive intercalation regimes depending on the potential range, variable diffusion lengths by adjusting its particle size, and a tunable degree of solvent cointercalation by choosing the electrolyte solvent. Using DRT, we can distinguish between the kinetic limitations imposed by solid-state ion diffusion, interfacial ion adsorption and transport, and ion desolvation processes. Thus, DRT analysis can complement existing methods, such as voltammetry or 3D-Bode analysis, to better understand the kinetics of intercalation reactions.
DOI: 10.5281/zenodo.14258422
title: Multi-regional Input–output Table for the Global Emerging Economies (EMERGING V2.5)

description: EMERGING V2.5: This version removes the 27th sector, totaling 133 sectors, compared to EMERGING2.0. It has been optimized and calibrated to improve the intermediate input matrix (Z matrix), trade volumes (imports and exports), and total output for the electricity, transportation, and energy sectors across 245 economies, with a particular focus on small and medium-sized emerging economies.

EMERGING CO2 Inventory: CO2 emissions (Mt CO2eq) from fossil fuel combustion and energy consumption at the sectoral level in each region are available from the IEA database and CEADs emission inventory data. The EMERGING CO2 Inventory includes a total of 7 energy types: 1. Coal; 2. Natural gas; 3. Oil products; 4. Crude, NGL, Ref Feeds.; 5. Other; 6. Oil shale & oil sands; 7. Peat & Peat products.

Announcements

These data are made freely available to the public and the scientific community in the belief that their wide dissemination will lead to greater understanding and new scientific insights. The availability of these data does not constitute publication of the data. The data providers rely on the ethics and integrity of the user to ensure that they receive fair credit for their work. If the data are obtained for potential use in a publication or presentation, we kindly ask you to cite them properly according to the instructions on the website.

Queries about the EMERGING database and further collaboration can be addressed to: jing.j.meng@ucl.ac.uk or huojw20@mails.tsinghua.edu.cn 
description: Nomenclature



z.mat - flow/transactions matrix

va.mat - value added matrix

f.txt - final demand

X.mat - gross/total output

country_list.mat - ISO3 code of the 245 economies

sector_list.mat - detailed descriptions of 135 sectors

EMERGING_CO2_YYYY.mat - CO2 inventory  for Year YYYY

EMERGING2.5_Sector&Country list.xlsx - lists of sectors and ecnomies in EMERFGING V2.5
DOI: 10.6084/m9.figshare.27938994
title: Breast Cancer Plasma Metabolomics Pilot Study

description: This is a pilot study of breast cancer metabolomics observational case-control. Recruitment of study participants was conducted from July to August 2024. The study protocol was approved by the Health Research Ethics Committee of the Faculty of Medicine, University of Indonesia, under protocol number 24-03-0505. A total of 48 observational case-control design study participants were selected by dividing them into two main groups, namely the healthy control (HC) group (n=24) and the breast cancer (BC) group (n=24). The BC group involved patients diagnosed with invasive breast cancer of all stages recruited from Dr. Cipto Mangunkusumo National General Hospital, Faculty of Medicine, University of Indonesia. The HC group were female participants residing in Jakarta, Indonesia, who had neither been diagnosed nor had a family history of breast cancer. All participants were administered prior written informed consent.Untargeted metabolomic plasma analysis was done by GCMS-QP2020 NX Shimadzu. GC-MS raw data processing was exported using MS-DIAL ver. 4.92, with internal standard normalization.
DOI: 10.15468/dl.xvm9mg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sebastes macrochir Günther, 1877",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011195-241126133413365/datasets/export for details.
DOI: 10.5284/1124667
title: Data from an Archaeological Open-Area Excavation at Glebe Farm, Gidding Road, Sawtry, Cambridgeshire, 2018-2019

description: This digital archive comprises images, report and site record data from an archaeological open-area excavation, which was undertaken in advance of development at Land east of Glebe Farm, Gidding Road, Sawtry, Cambridgeshire. The work was undertaken between February 2018 and May 2019. The work was commissioned in response to a condition (no.14), placed on the planning consent, which required the implementation of an archaeological mitigation strategy.
DOI: 10.15468/dl.xguhwp
title: Occurrence Download

description: A dataset containing 39831 records in GBIF matching the query:
SELECT "year", GBIF_EEARGCode( 1000, decimalLatitude, decimalLongitude, COALESCE(coordinateUncertaintyInMeters, 1000) ) AS eeaCellCode, classKey, class, genusKey, genus, COUNT(*) AS occurrences, MIN(COALESCE(coordinateUncertaintyInMeters, 1000)) AS minCoordinateUncertaintyInMeters, MIN(GBIF_TemporalUncertainty(eventDate)) AS minTemporalUncertainty, IF(ISNULL(classKey), NULL, SUM(COUNT(*)) OVER (PARTITION BY classKey)) AS classCount FROM occurrence WHERE occurrenceStatus = 'PRESENT' AND genusKey IN (2162003, 2149911, 2457825, 2454645, 2465626, 2466496, 2459675, 2441658, 2442664, 5221394, 4553469) AND (continent = 'EUROPE' OR countrycode = 'BE') AND "year" &gt;= 1900 AND hasCoordinate = TRUE AND genusKey IS NOT NULL AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE') AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE') AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID') AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH') AND (LOWER(identificationVerificationStatus) NOT IN ( 'unverified', 'unvalidated', 'not validated', 'under validation', 'not able to validate', 'control could not be conclusive due to insufficient knowledge', 'uncertain', 'unconfirmed', 'unconfirmed - not reviewed', 'validation requested' ) OR identificationVerificationStatus IS NULL) AND coordinateUncertaintyInMeters &lt;= 10000 GROUP BY "year", eeaCellCode, classKey, class, genusKey, genus ORDER BY "year" DESC, eeaCellCode ASC, genusKey ASC;

 The dataset's 39831 records were derived from 539 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011157-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive1338.20241212.9.2
title: Halobacillus halophilus (Claus et al. 1984) Spring et al. 1996

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive1338.20251217.10
title: Halobacillus halophilus (Claus et al. 1984) Spring et al. 1996

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0069702.10fu
title: SH0069702.10FU

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: 10.13145/bacdive1339.20241212.9.2
title: Halobacillus halophilus (Claus et al. 1984) Spring et al. 1996

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive1339.20251217.10
title: Halobacillus halophilus (Claus et al. 1984) Spring et al. 1996

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0069703.10fu
title: SH0069703.10FU

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: 10.13145/bacdive1340.20241212.9.2
title: Halobacillus halophilus (Claus et al. 1984) Spring et al. 1996

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0069704.10fu
title: SH0069704.10FU

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: 10.13145/bacdive1340.20251217.10
title: Halobacillus halophilus (Claus et al. 1984) Spring et al. 1996

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive1341.20241212.9.2
title: Halobacillus halophilus (Claus et al. 1984) Spring et al. 1996

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive1341.20251217.10
title: Halobacillus halophilus (Claus et al. 1984) Spring et al. 1996

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0069705.10fu
title: SH0069705.10FU

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: 10.13145/bacdive1342.20250331.9.3
title: Halobacillus trueperi Spring et al. 1996

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive1342.20251217.10
title: Halobacillus trueperi Spring et al. 1996

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.