cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.5z96rv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gloydius lijianlii)",
 "Country is one of (China, India, Indonesia, Pakistan, Bangladesh, Japan, Philippines, Viet Nam, Türkiye, Iran (Islamic Republic of), Thailand, Myanmar, Korea, Republic of, Korea (Democratic People’s Republic of), Iraq, Afghanistan, Saudi Arabia, Uzbekistan, Malaysia, Yemen, Nepal, Sri Lanka, Kazakhstan, Syrian Arab Republic, Cambodia, Jordan, Azerbaijan, United Arab Emirates, Tajikistan, Israel, Lao People’s Democratic Republic, Lebanon, Kyrgyzstan, Turkmenistan, Singapore, Oman, Palestine, State of, Kuwait, Georgia, Mongolia, Armenia, Qatar, Bahrain, Timor-Leste, Cyprus, Bhutan, Maldives, Brunei Darussalam)",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007261-251120083545085/datasets/export for details.
DOI: 10.15468/dl.kuast2
title: Occurrence Download

description: A dataset containing 846 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((94.96626 5.92499,94.29736 4.90197,95.6745 3.80026,97.62217 2.12802,99.23538 -0.40985,102.08803 -4.61996,104.27178 -6.80371,105.8063 -6.23318,107.20312 -2.65262,105.23577 -0.7443,103.99635 0.49512,102.36346 1.28206,100.2584 3.13136,97.18935 5.96433,94.96626 5.92499))",
 "TaxonKey is Aglaia"
 ]
}

 The dataset includes 846 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007264-251120083545085/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.30703607
title: Climate Change Risk and Green Low-Carbon Development in Agriculture: Evidence from China on the Regulatory Role of Agricultural Insurance and Spatial Spillover Effects

description: This study uses panel data from 31 provinces in China for the period 2003–2023. The specific data sources and processing methods are as follows:<b>Climate Risk Data</b><br>The climate risk index is calculated using the dataset provided by NOAA (NOAA Dataset).<b>Other Variables Data</b><br>Other variable data are sourced from the China Population and Employment Statistical Yearbook, the China Insurance Statistical Yearbook, and other relevant statistical yearbooks. Missing data were filled using linear interpolation.
DOI: 10.6084/m9.figshare.30703607.v1
title: Climate Change Risk and Green Low-Carbon Development in Agriculture: Evidence from China on the Regulatory Role of Agricultural Insurance and Spatial Spillover Effects

description: This study uses panel data from 31 provinces in China for the period 2003–2023. The specific data sources and processing methods are as follows:<b>Climate Risk Data</b><br>The climate risk index is calculated using the dataset provided by NOAA (NOAA Dataset).<b>Other Variables Data</b><br>Other variable data are sourced from the China Population and Employment Statistical Yearbook, the China Insurance Statistical Yearbook, and other relevant statistical yearbooks. Missing data were filled using linear interpolation.
DOI: 10.5281/zenodo.17708731
title: Evolution of strenghtening mechanisms in ODS 316L steel during plastic straining
DOI: 10.5281/zenodo.17708730
title: Evolution of strenghtening mechanisms in ODS 316L steel during plastic straining
DOI: 10.15468/dl.bucdkv
title: Occurrence Download

description: A dataset containing 648 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Observation, Material sample, Material citation, Specimen, Occurrence evidence)",
 "Country is one of (Spain, Portugal)",
 "DatasetKey is one of (Banco de Datos de la Biodiversidad de la Comunitat Valenciana, CSIC-Real Jardín Botánico-Colección de Plantas Vasculares (MA), Colección de plantas vasculares del herbario de la Universitat de València (VAL), CSIC-Real Jardín Botánico-Anthos. Sistema de Información de las Plantas de España, FloraCAT: Banco de datos de los cormófitos de Cataluña)",
 "Geometry POLYGON((-7.92448 44.89786,-9.5035 44.3656,-10.58388 43.04396,-11.16562 40.44013,-10.99941 36.93848,-7.75827 35.39547,-4.2678 35.05603,-0.61113 36.27134,1.30032 38.32059,1.96517 40.25011,4.79078 42.12615,1.96517 43.34689,-3.43674 44.24665,-7.92448 44.89786))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Senecio angulatus"
 ]
}

 The dataset includes 648 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007265-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kmebnb
title: Occurrence Download

description: A dataset containing 666 records in GBIF matching the query:
SELECT
 '120' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey 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 decimalLatitude &gt;= -12.166598047573723
 AND decimalLatitude &lt;= -8.098015256935714
 AND decimalLongitude &gt;= 20.079325858213714
 AND decimalLongitude &lt;= 25.29667019050479
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 666 records were derived from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005799-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5683/sp3/xeyx2b
title: IEA CO2 Emissions from Fuel Combustion Statistics: Greenhouse Gas Emissions from Energy. Per capita CO2 emissions by sector, 1960-2017

description: This dataset comprises statistics on CO2 emissions per capita by sector (transport, road, manufacturing industries and construction, and more). Data are coverage starts in 1960. [Data editions 2015-2019].
description: IEA CO2 Emissions from Fuel Combustion Statistics
description: Series Name Change
DOI: 10.15468/dl.bzsyej
title: Occurrence Download

description: A dataset containing 1620 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anolis mariarum"
 ]
}

 The dataset includes 1620 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005820-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cb6xjm
title: Occurrence Download

description: A dataset containing 78473 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Apiaceae",
 "Continent is one of (Africa, South America)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 78473 records from 607 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005779-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rdd3zq
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.48_1",
 "TaxonKey is Oxybelus"
 ]
}

 The dataset includes 64 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005822-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w9qukd
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.89097 24.812449, 88.81361 24.806872, 88.738175 24.790279, 88.666541 24.763084, 88.600486 24.725963, 88.541645 24.679837, 88.491471 24.625852, 88.451194 24.565346, 88.421798 24.499816, 88.403992 24.430884, 88.398196 24.360249, 88.404532 24.289653, 88.422826 24.220832, 88.452609 24.155477, 88.493133 24.095191, 88.54339299999999 24.041449, 88.602149 23.995566, 88.667956 23.958664, 88.739203 23.931643, 88.81415 23.915163, 88.89097 23.909624, 88.96778999999999 23.915163, 89.042737 23.931643, 89.113984 23.958664, 89.17979099999999 23.995566, 89.238547 24.041449, 89.28880700000001 24.095191, 89.329331 24.155477, 89.35911400000001 24.220832, 89.377408 24.289653, 89.38374399999999 24.360249, 89.377948 24.430884, 89.360142 24.499816, 89.330746 24.565346, 89.290469 24.625852, 89.240295 24.679837, 89.181454 24.725963, 89.115399 24.763084, 89.04376499999999 24.790279, 88.96832999999999 24.806872, 88.89097 24.812449))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 13 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005823-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9qp9m4
title: Occurrence Download

description: A dataset containing 248 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-128.43953 50.78053,-128.10002 50.42489,-127.82903 50.10708,-126.70788 49.614,-125.95687 49.15926,-124.88186 48.66479,-123.87227 48.38989,-123.49198 48.30944,-123.276 48.58707,-123.75404 49.09829,-124.72491 49.40854,-125.47437 50.34177,-126.61758 50.50605,-127.28362 50.67752,-127.81608 50.86621,-127.79383 50.95493,-128.43953 50.78053))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Phlox diffusa"
 ]
}

 The dataset includes 248 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005824-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5683/sp3/rqfdve
title: IEA CO2 Emissions from Fuel Combustion Statistics: Greenhouse Gas Emissions from Energy. Total emissions for years starting in 1751, 1751-2021

description: With the objective to provide more comprehensive statistical information, the IEA has included estimates of CO2 emissions from fuel combustion for time series starting in 1751, for the world and selected regions. [Data editions 2020-2023]
description: IEA CO2 Emissions from Fuel Combustion Statistics
description: Series Name Change
DOI: 10.15468/dl.zwnqrh
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.89097 24.812449, 88.81361 24.806872, 88.738175 24.790279, 88.666541 24.763084, 88.600486 24.725963, 88.541645 24.679837, 88.491471 24.625852, 88.451194 24.565346, 88.421798 24.499816, 88.403992 24.430884, 88.398196 24.360249, 88.404532 24.289653, 88.422826 24.220832, 88.452609 24.155477, 88.493133 24.095191, 88.54339299999999 24.041449, 88.602149 23.995566, 88.667956 23.958664, 88.739203 23.931643, 88.81415 23.915163, 88.89097 23.909624, 88.96778999999999 23.915163, 89.042737 23.931643, 89.113984 23.958664, 89.17979099999999 23.995566, 89.238547 24.041449, 89.28880700000001 24.095191, 89.329331 24.155477, 89.35911400000001 24.220832, 89.377408 24.289653, 89.38374399999999 24.360249, 89.377948 24.430884, 89.360142 24.499816, 89.330746 24.565346, 89.290469 24.625852, 89.240295 24.679837, 89.181454 24.725963, 89.115399 24.763084, 89.04376499999999 24.790279, 88.96832999999999 24.806872, 88.89097 24.812449))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 13 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005827-260120142942310/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.31130245
title: <b><i>Migration from face-to-face to online psychotherapy: negative association between psychoticism and working alliance bonding in a multicenter study</i></b>

description: Dataset for the article.
DOI: 10.6084/m9.figshare.31130245.v1
title: <b><i>Migration from face-to-face to online psychotherapy: negative association between psychoticism and working alliance bonding in a multicenter study</i></b>

description: Dataset for the article.
DOI: 10.15468/dl.wr4ps2
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.89097 24.812449, 88.81361 24.806872, 88.738175 24.790279, 88.666541 24.763084, 88.600486 24.725963, 88.541645 24.679837, 88.491471 24.625852, 88.451194 24.565346, 88.421798 24.499816, 88.403992 24.430884, 88.398196 24.360249, 88.404532 24.289653, 88.422826 24.220832, 88.452609 24.155477, 88.493133 24.095191, 88.54339299999999 24.041449, 88.602149 23.995566, 88.667956 23.958664, 88.739203 23.931643, 88.81415 23.915163, 88.89097 23.909624, 88.96778999999999 23.915163, 89.042737 23.931643, 89.113984 23.958664, 89.17979099999999 23.995566, 89.238547 24.041449, 89.28880700000001 24.095191, 89.329331 24.155477, 89.35911400000001 24.220832, 89.377408 24.289653, 89.38374399999999 24.360249, 89.377948 24.430884, 89.360142 24.499816, 89.330746 24.565346, 89.290469 24.625852, 89.240295 24.679837, 89.181454 24.725963, 89.115399 24.763084, 89.04376499999999 24.790279, 88.96832999999999 24.806872, 88.89097 24.812449))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 13 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005828-260120142942310/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.31130258
title: Differences in COVID-19-related hospitalization burden between kidney transplant recipients and hemodialysis patients vaccinated against COVID-19

description: Kidney transplant recipients (KTR) and hemodialysis (HD) patients are highly vulnerable to COVID-19. The degree of protection after mRNA vaccination remains uncertain. Observational, prospective cohort (non-probability convenience sample) of adults under care in a Ramón y Cajal University Hospital (29 Feb 2020–30 May 2022) who received mRNA COVID-19 vaccines. Outcomes were ≥1 COVID-19–related hospitalization and ≥1 ICU admission. We fitted multivariable logistic regression models (reporting odds ratios [OR] with 95% CIs) adjusted for age (years, linear), sex, and number of vaccine doses (0–4); vaccination was summarized as cumulative doses. IPTW was estimated for baseline diagnostics only; negative-binomial models were used as sensitivity analyses. Calendar time/variant epochs were not included. No patient received passive immunization. 810 patients were analysed (KTR = 679; HD = 131). Adjusted odds of hospitalisation were not significantly different between KTR and HD (OR:1.19; 95%CI:0.70–2.01). For ICU admission, the KTR vs HD estimate was imprecise due to very few events (OR:5.48; 95%CI:0.70–43.09). Age increased hospitalisation odds (OR per year:1.02; 95%CI:1.01–1.04). A dose–response pattern was observed: for hospitalisation, the third dose was associated with lower odds (OR:0.40; 95%CI:0.17–0.97) and the fourth dose showed a borderline reduction (OR:0.43; 95%CI:0.18–1.06); for ICU admission, third and fourth doses were associated with markedly lower odds (OR:0.15; 95%CI:0.04–0.54, OR:0.12; 95%CI:0.03–0.47). We found no clear differences between KTR and HD in the odds of COVID-19–related hospitalisation or ICU admission after vaccination. Findings support active surveillance and booster-focused immunisation in both groups. Although passive immunisation was not evaluated, current recommendations suggest selected patients may benefit from it when available.
DOI: 10.6084/m9.figshare.31130258.v1
title: Differences in COVID-19-related hospitalization burden between kidney transplant recipients and hemodialysis patients vaccinated against COVID-19

description: Kidney transplant recipients (KTR) and hemodialysis (HD) patients are highly vulnerable to COVID-19. The degree of protection after mRNA vaccination remains uncertain. Observational, prospective cohort (non-probability convenience sample) of adults under care in a Ramón y Cajal University Hospital (29 Feb 2020–30 May 2022) who received mRNA COVID-19 vaccines. Outcomes were ≥1 COVID-19–related hospitalization and ≥1 ICU admission. We fitted multivariable logistic regression models (reporting odds ratios [OR] with 95% CIs) adjusted for age (years, linear), sex, and number of vaccine doses (0–4); vaccination was summarized as cumulative doses. IPTW was estimated for baseline diagnostics only; negative-binomial models were used as sensitivity analyses. Calendar time/variant epochs were not included. No patient received passive immunization. 810 patients were analysed (KTR = 679; HD = 131). Adjusted odds of hospitalisation were not significantly different between KTR and HD (OR:1.19; 95%CI:0.70–2.01). For ICU admission, the KTR vs HD estimate was imprecise due to very few events (OR:5.48; 95%CI:0.70–43.09). Age increased hospitalisation odds (OR per year:1.02; 95%CI:1.01–1.04). A dose–response pattern was observed: for hospitalisation, the third dose was associated with lower odds (OR:0.40; 95%CI:0.17–0.97) and the fourth dose showed a borderline reduction (OR:0.43; 95%CI:0.18–1.06); for ICU admission, third and fourth doses were associated with markedly lower odds (OR:0.15; 95%CI:0.04–0.54, OR:0.12; 95%CI:0.03–0.47). We found no clear differences between KTR and HD in the odds of COVID-19–related hospitalisation or ICU admission after vaccination. Findings support active surveillance and booster-focused immunisation in both groups. Although passive immunisation was not evaluated, current recommendations suggest selected patients may benefit from it when available.
DOI: 10.15151/esrf-dc-2314708867
title: Early age hydration of mixed-layer calcined clay cement blends: In-situ Synchrotron X-ray scattering and pair distribution function analysis

description: The cement industry accounts for approximately 8% of global CO₂ emissions, motivating the use of supplementary cementitious materials, such as calcined clays. This study investigates early-age hydration and nanostructural evolution of cement blended with 30 wt% calcined kaolinite (NK) and montmorillonite (NM) mixed-layered clays. In-situ synchrotron X-ray diffraction with pair distribution function analysis and solid-state nuclear magnetic resonance were applied from 10 to 53 h and at 7 days. NK reacted rapidly, consuming ettringite and forming hemicarboaluminate and monosulfoaluminate phases, whereas NM preserved ettringite due to higher calcite content. Calcium silicate hydrate evolved from a Ca-rich hillebrandite-type structure (Ca/Si ≈ 2.0 at 26 h) to a layered clinotobermorite-like phase (Ca/Si ≈ 1.2-1.7 at 7 days). Magnesium silicate hydrate phases were identified in NM, with Mg/Si decreasing from 0.63 to 0.23. NK showed greater aluminum incorporation, forming dense calcium-aluminosilicate-hydrate networks, resulting in higher 7-day compressive strength (38.05 MPa) development pathways.
DOI: 10.5683/sp3/gpvu3l
title: Health Statistics at a Glance, 1999 [Canada] [B2020]
title: HLTHIND 1999

description: &lt;p&gt;Health Statistics at a Glance tables contain information on socio-economic risk factors or determinants of health, health status, new information on health outcomes and expanded information on utilization of the health care system. The aim of Health Statistics at a Glance tables is to present a core data set using the most recent information available. The indicator tables show extended time series for Canada, provinces and territorial levels of geography. Depending on the indicator, cross-classifications are by age and sex, and, in some cases by education. Due to the large amount of sample survey data used to construct the indicators, many tables cannot be produced for sub-provincial areas.
&lt;/p&gt; &lt;p&gt;Health Statistics at a Glance is an integrated information product. Its content reflects the growing demand for analysis of many current health issues supplemented by the underlying data. Within this CD-ROM there are three major components: the Statistical Report on the Health of Canadians, 17 Health Reports articles cited in the Statistical Report, and all of the components of Health Indicators, including Causes of Death. Users access the data as tabulations that they can display in various formats according to their own needs. The Health Statistics at a Glance CD-ROM contains the entire database of over 100 indicators and the software to access the information on a personal computer. The database can be accessed on the mainframe computer by using Statistics Canada's CANSIM cross-classified database.
&lt;/p&gt;
description: Health Statistics at a Glance
description: Series Name Change
DOI: 10.5281/zenodo.18340208
title: Ex Mira Lanya
DOI: 10.5281/zenodo.18340207
title: Ex Mira Lanya