cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14557278
title: India Specialty Chemicals Market 2024 To 2033

description: India Specialty Chemicals Market Size, Trends and Insights By Product Type (Agrochemicals, Polymers & Resins, Surfactants, Catalysts, Additives, Pigments & Dyes, Specialty Coatings, Specialty Gases, Others), By Function (Adhesives & Sealants, Antioxidants, Corrosion Inhibitors, Flame Retardants, Lubricants & Greases, Plasticizers, UV Stabilizers, Others), By Raw Material (Petrochemicals, Inorganic Chemicals, Organic Chemicals, Bio-Based Chemicals, Others), By End-Use Industry (Agriculture, Automotive, Construction, Electronics, Healthcare & Pharmaceuticals, Personal Care & Cosmetics, Oil & Gas, Food & Beverages, Others), and By Region - Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033.

Reports Description

As per the current market research conducted by the CMI Team, the India Specialty Chemicals Market is expected to record a CAGR of 4.8% from 2024 to 2033. In 2024, the market size is projected to reach a valuation of USD 27,054.3 Million. By 2033, the valuation is anticipated to reach USD 41,256.1 Million.

The Indian specialty chemicals market is a dynamic sector characterized by the production and supply of chemicals tailored for specific applications across various industries. It encompasses a wide range of products, including agrochemicals, polymers, surfactants, and additives, serving diverse end-user sectors such as agriculture, pharmaceuticals, personal care, and automotive.

With robust industrial growth, technological advancements, and an increasing focus on sustainability, the market has witnessed significant expansion. Moreover, India’s competitive advantage in manufacturing, coupled with favorable government policies and growing international demand, positions the specialty chemicals market as a key contributor to the country’s economic growth and development.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=52699
DOI: 10.6084/m9.figshare.28078985
title: WPEM manual

description: The Whole Pattern Fitting of Powder X-ray Diffraction (WPEM) package is a Python library designed to support the refinement of various spectra, including XRD, XPS, and EXAFS. Developed by Mr. Cao Bin and Prof. Zhang Tong-yi, this paper provides detailed code examples and demonstrations for performing spectrum refinement.
DOI: 10.6084/m9.figshare.28078985.v2
title: WPEM manual

description: The Whole Pattern Fitting of Powder X-ray Diffraction (WPEM) package is a Python library designed to support the refinement of various spectra, including XRD, XPS, and EXAFS. Developed by Mr. Cao Bin and Prof. Zhang Tong-yi, this paper provides detailed code examples and demonstrations for performing spectrum refinement.
DOI: 10.6084/m9.figshare.28078985.v3
title: WPEM manual

description: The Whole Pattern Fitting of Powder X-ray Diffraction (WPEM) package is a Python library designed to support the refinement of various spectra, including XRD, XPS, and EXAFS. Developed by Mr. Cao Bin and Prof. Zhang Tong-yi, this paper provides detailed code examples and demonstrations for performing spectrum refinement.
DOI: 10.15468/dl.7d5yjt
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((27.60819 45.63948,26.04364 41.58269,31.12843 39.50233,39.60308 39.90356,43.38408 41.97161,42.34105 45.18184,39.47271 48.22077,28.91199 47.34472,27.60819 45.63948))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Dasyatis pastinaca (Linnaeus, 1758)"
 ]
}

 The dataset includes 26 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048988-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28083179
title: Macromitrium nelliampathyanum trnL-trnF matrices.zip

description: DNA data matrix of trnL-trnF region used in the paper "<i>Macromitrium nelliampathyanum </i>sp. nov. (Orthotrichaceae: Bryopsida), a new moss species from the Western Ghats of India" by M. S. Sajitha, C. N. Manju, Dietmar Quandt and Jesús Muñoz, sent for publication to Journal of Bryology.
DOI: 10.15468/dl.xys97j
title: Occurrence Download

description: A dataset containing 4163 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cirsium nipponicum (Maxim.) Makino",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is Japan"
 ]
}

 The dataset includes 4163 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048989-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qxt2jh
title: Occurrence Download

description: A dataset containing 628 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Disanthus cercidifolius Maxim."
 ]
}

 The dataset includes 628 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048990-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/10301329
title: ⏳ endoflife.date database (duckdb)
DOI: 10.14457/tu.the.2022.1631
title: The roles of NGOs based in Bangkok in promoting target 11.2 of the SDGs for road safety and sustainable transport systems

description: In September 2015, United Nations member states adopted the 2030 agenda for promoting peace and sustainable development, which is known as the Sustainable Development Goals or SDGs. The eleventh goal in the SDGs is “Sustainable cities and communities.” Inside the eleventh goal, there are ten targets, and Target 11.2 aims to develop road safety and sustainable transport systems.In asking how non-governmental organizations (NGOs) based in Bangkok promoted Target 11.2 of the SDGs during the years 2015-2021, the researcher found that there are ten NGOs based in Bangkok involved in road safety and sustainable transport systems, which promoted Target 11.2 from a “change agent” perspective. NGOs based in Bangkok advocate the SDGs and assist the public sector in developing road safety and sustainable public transport systems by using the SDGs as a tool to create more reliability in their work and coordination. There are three prominent roles of NGOs in promoting the SDGs: (1) coordinating role, (2) enabling role, and (3) facilitating role. Even though the roles of local NGOs are wider than in the past, the weaknesses of NGOs based in Bangkok are related to the low influence of NGOs in the policy-making process. Some NGOs receive funds from government agencies or private companies, but this limits their ability to provide unbiased inputs on some sensitive issues that are relevant to their donors. Moreover, NGOs have limited funding(1)and implementation capacity, which makes it harder to cooperate with the public sector. Significantly, influencing the public sector in developing road safety and sustainable transport systems is a troublesome issue for NGOs because most road safety and public transportation projects in Bangkok involve conflicts between vested interests and the public. As a result, they cannot tackle all the root causes of problems, yet they may have the ability to use public advocacy, such as launching road safety campaigns and sharing expertise with the public and private sectors.
DOI: 10.15468/dl.g2p87r
title: Occurrence Download

description: A dataset containing 440 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Monochamus alternatus Hope, 1843"
 ]
}

 The dataset includes 440 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048993-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e49b92
title: Occurrence Download

description: A dataset containing 550 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Batocera lineolata Chevrolat, 1852"
 ]
}

 The dataset includes 550 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048994-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kq95u8
title: Occurrence Download

description: A dataset containing 14856 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is MAR.12.1_1",
 "TaxonKey is Passeriformes",
 "Year 1994-2023"
 ]
}

 The dataset includes 14856 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048995-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/vt36-zn17
title: Heavy equipment machinery operator biosignals

description: Stress is an inseparable aspect of work, and its constructive and destructive effects on efficiency have been widely studied. This study aims to identify stress in high-risk work environments in the early stages to avoid damage, particularly in scenarios involving heavy-duty robots in factories and power plants. The primary objective is to develop an AI algorithm for stress detection and to evaluate the impact of stress on human factors and system performance in a man-machine loop, specifically for remote maintenance tasks in the ITER fusion power plant, a recognized high-risk environment.As this robot and ITER is under development, we focused on our new developed construction excavator simulator to expose stress for recording data. Investigations on stress identification were conducted on Heavy Equipment Operators (HEOs) using wearable biosensors during simulated construction tasks. Bio-signals such as Electroencephalography (EEG) and Electrocardiography (ECG) were recorded while HEO experts performing various tasks using the excavator simulator. Eight different tasks were exposed to 10 expert HEOs to simulate different levels of stress. Stress was categorized into three levels: low, medium, and high, alongside a baseline rest state. To classify three stress levels and rest, a deep learning algorithm with three configurations of EEG, ECG and a combination of EEG and ECG features were developed. The combined feature space obtained an average accuracy of 94.50% +-0.8. Additionally, power spectral brain maps in different EEG frequency bands were analyzed to identify neurons activation areas during different stress levels. The results indicate that low level of stress enhance mental concentration and positively improve work performance. However, as stress increases, concentration decreased significantly and HEOs continued working with less focus. The proposed deep learning-based approach significantly identified stress levels and the rest state using a limited number of computed features. These findings demonstrate the potential of integrating stress detection into high-risk work environments to improve safety and performance.
DOI: 10.15468/dl.b628dk
title: Occurrence Download

description: A dataset containing 194 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Coreius guichenoti (Sauvage & Dabry de Thiersant, 1874)"
 ]
}

 The dataset includes 194 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048997-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x59yge
title: Occurrence Download

description: A dataset containing 36075 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is IND.33.8.1_1",
 "TaxonKey is Passeriformes",
 "Year 1994-2023"
 ]
}

 The dataset includes 36075 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048996-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w2mpjp
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ajuga campylantha Diels"
 ]
}

 The dataset includes 30 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048999-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ub8nj9
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is A new species of Tyrannomyrmex (Hymenoptera: Formicidae) from Sri Lanka"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049001-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9gaewe
title: Occurrence Download

description: A dataset containing 4163 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cirsium nipponicum (Maxim.) Makino",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is Japan"
 ]
}

 The dataset includes 4163 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049002-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2run74
title: Occurrence Download

description: A dataset containing 5516 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is COL.18.2_2",
 "TaxonKey is Passeriformes",
 "Year 1994-2023"
 ]
}

 The dataset includes 5516 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049003-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14556892
title: BLT-Chain raw data
DOI: 10.5281/zenodo.14556893
title: BLT-Chain raw data
DOI: 10.15468/dl.e32t8j
title: Occurrence Download

description: A dataset containing 663383 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Anoplodactylus insignis (Hoek, 1881), Pycnogonum Brünnich, 1764, Tachypleus Leach, 1819, Carcinoscorpius Pocock, 1902, Limulus O.F.Müller, 1785, Phytoseiulus G.O.Evans, 1952, Dermanyssus Dugès, 1834, Varroa Oudemans, 1904, Ornithodoros Koch, 1837, Ixodes Latreille, 1795, Hyalomma C.L.Koch, 1844, Amblyomma Koch, 1844, Dermacentor C.L.Koch, 1844, Rhipicephalus Koch, 1844, Panonychus Yokoyama, 1929, Tetranychus Dufour, 1832, Dermatophagoides A.Bogdanov, 1864, Rhizoglyphus Claparède, 1869, Hypochthonius Koch, 1835, Steganacarus Ewing, 1917, Nothrus Koch, 1835, Platynothrus Berlese, 1913, Achipteria Berlese, 1885, Hermannia Nicolet, 1855, Metasiro Juberthie, 1960, Siro Latreille, 1795, Larifuga Loman, 1898, Pachylicus Roewer, 1923, Protolophus Banks, 1893, Hesperonemastoma Gruber, 1970, Trogulus Latreille, 1802, Solpugema Roewer, 1933, Galeodes Olivier, 1791, Eremobates Banks, 1900, Gluvia C.L.Koch, 1842, Ricinoides Ewing, 1929, Pseudocellus Platnick, 1980, Cryptocellus Westwood, 1874, Chaerilus Simon, 1877, Androctonus Ehrenberg, 1828, Centruroides Breuning, 1940, Iurus Thorell, 1876, Hadrurus Thorell, 1876, Scorpiops Peters, 1861, Pseudotyrannochthonius Beier, 1930, Cybella Judson, 2017, Neobisium J.C.Chamberlin, 1930, Synsphyronus J.C.Chamberlin, 1930, Haplochernes Beier, 1932, Hesperochernes J.C.Chamberlin, 1924, Damon C.L.Koch, 1850, Mastigoproctus Pocock, 1894, Stenochrus Chamberlin, 1922, Liphistius Schiödte, 1849, Sphodros Walckenaer, 1835, Microhexura Crosby & Bishop, 1925, Aphonopelma Pocock, 1901, Paratropis Simon, 1889, Hypochilus Marx, 1888, Dysdera Latreille, 1804, Pholcus Walckenaer, 1805, Ero C.L.Koch, 1837, Neoscona Simon, 1864, Pisaurina Simon, 1898)"
 ]
}

 The dataset includes 663383 records from 1597 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048991-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j5cdjz
title: Occurrence Download

description: A dataset containing 93 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gunnera manicata Linden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 93 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0208229-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ifjyhh
title: Occurrence Download

description: A dataset containing 2530 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Bird Collection of Helsingborg Museums"
 ]
}

 The dataset includes 2530 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021357-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ddkb2k
title: Occurrence Download

description: A dataset containing 303160 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Solidago virgaurea L."
 ]
}

 The dataset includes 303160 records from 692 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0212031-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nlloia
title: Occurrence Download

description: A dataset containing 4264 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Vulpia muralis (Kunth) Nees"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4264 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021357-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.etq9ew
title: Occurrence Download

description: A dataset containing 7211 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-115.252 49.334,-114.71375 49.35018,-114.54895 49.3466,-114.54895 49.8734,-114.79065 50.61462,-115.252 50.599,-115.16418 49.84153,-115.252 49.334))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "TaxonKey is Plantae",
 "TaxonKey is Fungi"
 ]
 }
 ]
}

 The dataset includes 7211 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043027-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fxuayr
title: Occurrence Download

description: A dataset containing 2128075 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pica pica Linnaeus, 1758"
 ]
}

 The dataset includes 2128075 records from 963 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021357-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aes2jb
title: Occurrence Download

description: A dataset containing 4887 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scophthalmus maximus (Linnaeus, 1758)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen, Material sample)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 4887 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004777-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mu97hn
title: Occurrence Download

description: A dataset containing 483 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Micrargeria filiformis (Schumach. & Thonn.) Hutch. & Dalziel",
 "Continent is Africa"
 ]
}

 The dataset includes 483 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004776-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.etnekw
title: Occurrence Download

description: A dataset containing 379653 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Material sample, Material citation, Specimen, Occurrence evidence)",
 "Country is Mexico",
 "TaxonKey is Fungi",
 "Year 1925-2025"
 ]
}

 The dataset includes 379653 records from 254 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004748-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.khbn8r
title: Occurrence Download

description: A dataset containing 119 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhinella martyi Fouquet, Gaucher, Blanc & Vélez-Rodriguez, 2007"
 ]
}

 The dataset includes 119 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004778-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111331268
title: Wycliffite New Testament, MS.000340

description: [Text Description:] New Testament translation by John Wycliffe ❧ [Text or Publication Number Note:] MS.000340 ❧ [Medium:] Parchment ❧ [Script Note:] Gothic ❧ [Physical Object Description:] 218 folios; 9 x 6.1 x 3.1 in. (22.9 x 15.5 x 8 cm) ❧ [Physical Object Note:] Vellum with ink. Two columns of 36 lines, visible ruler lines. Leather binding with brass corner pieces and center bosses, letters "A C" stamped on either side. ❧ [Physical Object Note:] Illuminated initials in burnished gold at beginning of each book of the New Testament.