cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.n62gxg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((116.754 1.444183, 116.683715 1.438615, 116.615161 1.422048, 116.550028 1.394891, 116.48992 1.357812, 116.436317 1.311725, 116.390538 1.257765, 116.353712 1.197261, 116.326743 1.131703, 116.310297 1.062706, 116.304775 0.991969, 116.310315 0.921234, 116.326779 0.852241, 116.353761 0.78669, 116.390596 0.726195, 116.436378 0.672244, 116.489978 0.626166, 116.550078 0.589096, 116.615197 0.561945, 116.683734 0.545383, 116.754 0.539816, 116.824266 0.545383, 116.892803 0.561945, 116.957922 0.589096, 117.018022 0.626166, 117.071622 0.672244, 117.117404 0.726195, 117.154239 0.78669, 117.181221 0.852241, 117.197685 0.921234, 117.203225 0.991969, 117.197703 1.062706, 117.181257 1.131703, 117.154288 1.197261, 117.117462 1.257765, 117.071683 1.311725, 117.01808 1.357812, 116.957972 1.394891, 116.892839 1.422048, 116.824285 1.438615, 116.754 1.444183))"},{"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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002126-260120142942310/datasets/export for details.
DOI: 10.17632/xp7hc44dzz
title: The Relationship of One Lung Ventilation (OLV) Technique to Troponin T and I Levels in Thoracic Surgical Procedures

description: Postoperative myocardial infarction is a significant complication with varying incidence depending on the type of surgery and the patient's risk factors. In major surgery, the incidence of PMI ranged from 0.37-2.4%, with a 30-day mortality rate of 1.04% (Huang et al., 2020). The PMI risk increases gradually with additional risk factors, ranging from 0.42% for one risk factor to 1.08% for three or more risk factors. Important risk factors associated with PMI include a history of previous myocardial infarction, where surgery performed within 8 weeks after MI significantly increases the risk of PMI and postoperative mortality. Thoracic surgery is one of the complex surgical procedures that requires special anesthesia management to facilitate optimal surgical access to the intrathoracic structure. The one lung ventilation (OLV) technique has become standard in thoracic surgical anesthesia, allowing lung collapse on the surgical side thus providing better visualization and surgical access. Although this technique provides significant operative advantages, OLV can give rise to a variety of physiological complications that have the potential to affect a patient's cardiovascular function.
Troponin T and troponin I are the most sensitive and specific cardiac biomarkers for detecting myocardial injury. These two structural proteins are exclusively found in the heart muscle and are released into the circulation when myocardial cell damage occurs, even at a subclinical level. Elevated troponin levels may indicate a procedure-related myocardial injury or perioperative myocardial infarction, both of which are associated with increased postoperative morbidity and mortality. This study aims to determine the relationship of the One Lung Ventilation (OLV) technique to Troponin T and I Levels in Thoracic Surgery Procedures at Prof. Dr. Margono Soekarjo Purwokerto Hospital.
DOI: 10.17632/xp7hc44dzz.1
title: The Relationship of One Lung Ventilation (OLV) Technique to Troponin T and I Levels in Thoracic Surgical Procedures

description: Postoperative myocardial infarction is a significant complication with varying incidence depending on the type of surgery and the patient's risk factors. In major surgery, the incidence of PMI ranged from 0.37-2.4%, with a 30-day mortality rate of 1.04% (Huang et al., 2020). The PMI risk increases gradually with additional risk factors, ranging from 0.42% for one risk factor to 1.08% for three or more risk factors. Important risk factors associated with PMI include a history of previous myocardial infarction, where surgery performed within 8 weeks after MI significantly increases the risk of PMI and postoperative mortality. Thoracic surgery is one of the complex surgical procedures that requires special anesthesia management to facilitate optimal surgical access to the intrathoracic structure. The one lung ventilation (OLV) technique has become standard in thoracic surgical anesthesia, allowing lung collapse on the surgical side thus providing better visualization and surgical access. Although this technique provides significant operative advantages, OLV can give rise to a variety of physiological complications that have the potential to affect a patient's cardiovascular function.
Troponin T and troponin I are the most sensitive and specific cardiac biomarkers for detecting myocardial injury. These two structural proteins are exclusively found in the heart muscle and are released into the circulation when myocardial cell damage occurs, even at a subclinical level. Elevated troponin levels may indicate a procedure-related myocardial injury or perioperative myocardial infarction, both of which are associated with increased postoperative morbidity and mortality. This study aims to determine the relationship of the One Lung Ventilation (OLV) technique to Troponin T and I Levels in Thoracic Surgery Procedures at Prof. Dr. Margono Soekarjo Purwokerto Hospital.
DOI: 10.15468/dl.jd6fp4
title: Occurrence Download

description: A dataset listing the 182 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "Geometry POLYGON((0.60179 47.72597,0.59892 47.72478,0.59727 47.72437,0.59348 47.72252,0.59141 47.72178,0.58921 47.71989,0.58493 47.7168,0.58358 47.71537,0.58071 47.7129,0.58144 47.71175,0.58338 47.71028,0.58653 47.70754,0.58969 47.70636,0.59221 47.70356,0.59297 47.70341,0.59355 47.70122,0.59452 47.70044,0.59229 47.69874,0.5918 47.69766,0.59215 47.69454,0.59453 47.69121,0.59536 47.6899,0.59502 47.68905,0.59608 47.68876,0.59555 47.68817,0.60439 47.68568,0.60531 47.68715,0.60716 47.68786,0.60755 47.6895,0.61351 47.69341,0.61453 47.69465,0.61516 47.694,0.61574 47.69537,0.61705 47.69699,0.61671 47.69911,0.61855 47.69969,0.61952 47.7011,0.62457 47.70342,0.62467 47.70462,0.62845 47.70844,0.63121 47.70939,0.6317 47.70838,0.63393 47.70802,0.643 47.70851,0.64237 47.70723,0.64227 47.70488,0.64319 47.70276,0.64276 47.70097,0.64324 47.69996,0.65139 47.70028,0.65498 47.69907,0.6525 47.69597,0.6478 47.69349,0.64707 47.69211,0.64624 47.68909,0.64373 47.6873,0.64261 47.68518,0.64533 47.68377,0.65314 47.68351,0.65435 47.68459,0.65605 47.68619,0.65813 47.68805,0.66022 47.6888,0.66487 47.6918,0.66613 47.69229,0.66676 47.69314,0.67038 47.69453,0.67261 47.6958,0.67396 47.69734,0.6744 47.69884,0.67615 47.70004,0.67763 47.70303,0.67908 47.70427,0.68335 47.70842,0.68659 47.7117,0.68753 47.71499,0.68834 47.71685,0.69414 47.72004,0.69432 47.7219,0.69379 47.72322,0.69225 47.72561,0.68653 47.73162,0.68492 47.73367,0.68152 47.73529,0.67983 47.73547,0.67131 47.7364,0.66731 47.7371,0.66696 47.73909,0.66757 47.74026,0.66096 47.74137,0.65757 47.74102,0.65737 47.74187,0.65038 47.7396,0.64748 47.73878,0.64752 47.7371,0.64457 47.736,0.63931 47.73534,0.63702 47.73483,0.63542 47.73493,0.63148 47.73491,0.62869 47.73276,0.62999 47.73105,0.62656 47.73013,0.61728 47.7281,0.61287 47.73004,0.60998 47.7281,0.60179 47.72597))",
 "HasGeospatialIssue is false",
 "PublishingOrg is 1928bdf0-f5d2-11dc-8c12-b8a03c50a862",
 "Year 2010-2025"
 ]
}

 The dataset's 182 records were derived from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002119-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/gc9m9btsys.1
title: Narrowing the Pay Gap: The Role of Government Procurement

description: This replication package contains the data, Stata code, and execution logs required to reproduce all empirical results reported in the paper “Narrowing the Pay Gap: The Role of Government Procurement.”
DOI: 10.15468/dl.gef4g3
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((115.705 5.761142, 115.634383 5.755572, 115.565509 5.738997, 115.500078 5.711827, 115.439702 5.674733, 115.385871 5.62863, 115.33991 5.574654, 115.30295 5.514137, 115.2759 5.44857, 115.259423 5.37957, 115.25392 5.308835, 115.259524 5.238109, 115.276093 5.169131, 115.303216 5.1036, 115.340222 5.043128, 115.386199 4.989202, 115.440015 4.943149, 115.500344 4.906099, 115.565703 4.878966, 115.634485 4.862414, 115.705 4.856851, 115.775515 4.862414, 115.844297 4.878966, 115.909656 4.906099, 115.969985 4.943149, 116.023801 4.989202, 116.069778 5.043128, 116.106784 5.1036, 116.133907 5.169131, 116.150476 5.238109, 116.15608 5.308835, 116.150577 5.37957, 116.1341 5.44857, 116.10705 5.514137, 116.07009 5.574654, 116.024129 5.62863, 115.970298 5.674733, 115.909922 5.711827, 115.844491 5.738997, 115.775617 5.755572, 115.705 5.761142))"},{"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 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002127-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c33uud
title: Occurrence Download

description: A dataset containing 27451 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Russian Federation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Heracleum sosnowskyi"
 ]
}

 The dataset includes 27451 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002128-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23673/re-567
title: National Identity Dataset (Making Identity Count) for Estonia, 1990–2020

description: This dataset was compiled within the research project PRG1052 
 “National Identity and Estonian–Russian Relations: a Longitudinal Study of Elite and Mass Discourses” 
 (2021–2025) and is a longitudinal dataset on national identity created using the Making Identity Count methodology. 
 It includes Estonian-language and Russian-language subsets and spans five reference years—1990, 1995, 2000, 2010, and 2020—
 covering six genres: history textbooks, political leaders’ speeches, opinion articles and letters to the editor in major newspapers,
 most-watched films, and best-selling works of fiction. Standardized MIC methodology was used. 
 National Identity Reports: https://hdl.handle.net/10062/108183.
 Project overview: https://sisu.ut.ee/makingidentitycount/.
DOI: 10.17632/6zpgk44sjs
title: Higher body weight in Chinese patients is associated with treatment resistance to fixed-dose IL-17 inhibition with ixekizumab but not to weight-adjusted secukinumab therapy

description: Supplemental material for: Higher body weight in Chinese patients is associated with treatment resistance to fixed-dose IL-17 inhibition with ixekizumab but not to weight-adjusted secukinumab therapy.

This supplemental material includes additional analyses supporting the main findings of the study. Specifically, it contains:
(1) Baseline characteristics of patients treated with ixekizumab and secukinumab (Table S1);
(2) Restricted cubic spline analyses evaluating the association between body weight and treatment resistance at week 12 (Figure S1);
(3) Multivariable logistic regression analyses using body weight instead of body mass index (Table S2);
(4) Sensitivity analyses restricted to patients receiving secukinumab 300 mg (Figure S2).

These data further support the robustness of the observed association between body weight and treatment resistance to fixed-dose IL-17 inhibition.
DOI: 10.17632/6zpgk44sjs.1
title: Higher body weight in Chinese patients is associated with treatment resistance to fixed-dose IL-17 inhibition with ixekizumab but not to weight-adjusted secukinumab therapy

description: Supplemental material for: Higher body weight in Chinese patients is associated with treatment resistance to fixed-dose IL-17 inhibition with ixekizumab but not to weight-adjusted secukinumab therapy.

This supplemental material includes additional analyses supporting the main findings of the study. Specifically, it contains:
(1) Baseline characteristics of patients treated with ixekizumab and secukinumab (Table S1);
(2) Restricted cubic spline analyses evaluating the association between body weight and treatment resistance at week 12 (Figure S1);
(3) Multivariable logistic regression analyses using body weight instead of body mass index (Table S2);
(4) Sensitivity analyses restricted to patients receiving secukinumab 300 mg (Figure S2).

These data further support the robustness of the observed association between body weight and treatment resistance to fixed-dose IL-17 inhibition.
DOI: 10.17632/9h5zrbxzt5.1
title: Calcite precipitation in fractured basalt: Case 2 (Run2_HF)

description: This dataset provides X-ray computed tomography (CT) images of fractured basalt cores acquired during the injection of supersaturated solution with respect to calctie. In this experiment, we employed two distinct flow rates (1 mL/min; Run1_LF and 5 mL/min; Run2_HF) to elucidate the effect of flow rate on porosity changes, fracture-matrix interaction, and precipitation pattern. This image set includes the baseline scans and post-precipitation images captured at different injection times during the 5 mL/min test. Run2_HF images have voxel size of 52.0 microns and voxel depth of 43.9 microns. Images of a high flow rate (1 mL/min; Run1_LF) can be found in a dataset with the name 'Calcite precipitation in fractured basalt: Case 1 (Run1_LF)'
DOI: 10.17632/nbs4bbb74j.1
title: Aluminium drives hydrogen incorporation in pyrolitic lower mantle: Constraints from a combined FTIR-ERDA-nanoSIMS analysis

description: The data underlying all figures and tables in the manuscript and supplementary material are available here.
DOI: 10.17632/mxjtyc34sb
title: Research data

description: The influence of Ti content and temperature on the mechanical behavior of FeNiCrCoTi high-entropy alloys under tensile and compressive loads
DOI: 10.17632/mxjtyc34sb.1
title: Research data

description: The influence of Ti content and temperature on the mechanical behavior of FeNiCrCoTi high-entropy alloys under tensile and compressive loads
DOI: 10.17632/8ygn644px7
title: Raw data for SOC sequestration via nutrient regulation in sediments

description: We characterized the sequestration effect of soluble organic carbon (SOC) nutritional level regulation of through nutritional level regulation .
DOI: 10.17632/8ygn644px7.1
title: Raw data for SOC sequestration via nutrient regulation in sediments

description: We characterized the sequestration effect of soluble organic carbon (SOC) nutritional level regulation of through nutritional level regulation .
DOI: 10.17632/cn88s8mf63
title: Heterochromatin complex and 2-cell-like state regulation（Please refer to this version）

description: There was a minor error in the data annotation in the first version. Please refer to this version instead.
DOI: 10.17632/cn88s8mf63.2
title: Heterochromatin complex and 2-cell-like state regulation（Please refer to this version）

description: There was a minor error in the data annotation in the first version. Please refer to this version instead.
DOI: 10.17632/6kd8ft6tjj
title: Survey Dataset on the Socioeconomic Impact of Public Universities in Bangladesh

description: This dataset has information from a survey about peoples economic situations. The survey was done by talking to people in person at their homes and workplaces. These homes are near six universities in different parts of the region. The study wants to see how having a university nearby affects the people who live in these homes. It looks at things like how money they make what kind of work they do who lives in the home and how long they have lived there. The study is really about how universities relate to the situations of the households near them including things, like income and occupation and demographic attributes and how long people have lived in the area.

We talked to 484 people in person. Wrote down what they said. Later, we put this information into a computer so we could look at it. Each line is one person from a household. We did not use their names to keep them private. The information we collected includes the age of the person, in charge of the family how money the household makes each month in BDT what they do for work how long they have lived there and which university area they are connected to.

When we worked with the data, we took out the information that could identify people. We also made sure the income numbers were all in the format. The category that said "Local" was changed to a number, 25 years because that is what we thought it meant when someone has lived somewhere for a time. If there are spaces in the data that means the person did not answer the question or we did not have that information, about them.

The university has some information about the area like how many people can read and write in different regions. This information is in a file, and it gives us an idea of what is going on in each area rather than telling us about individual people. The university is looking at things like literacy rates to get a better understanding of the situation.

This dataset is intended for academic research, teaching, and exploratory analysis in fields such as socioeconomic studies, regional development, education policy, and data science. Users should consider potential limitations related to self-reported responses, interviewer recording bias, and non-random sampling when interpreting results.
DOI: 10.17632/6kd8ft6tjj.2
title: Survey Dataset on the Socioeconomic Impact of Public Universities in Bangladesh

description: This dataset has information from a survey about peoples economic situations. The survey was done by talking to people in person at their homes and workplaces. These homes are near six universities in different parts of the region. The study wants to see how having a university nearby affects the people who live in these homes. It looks at things like how money they make what kind of work they do who lives in the home and how long they have lived there. The study is really about how universities relate to the situations of the households near them including things, like income and occupation and demographic attributes and how long people have lived in the area.

We talked to 484 people in person. Wrote down what they said. Later, we put this information into a computer so we could look at it. Each line is one person from a household. We did not use their names to keep them private. The information we collected includes the age of the person, in charge of the family how money the household makes each month in BDT what they do for work how long they have lived there and which university area they are connected to.

When we worked with the data, we took out the information that could identify people. We also made sure the income numbers were all in the format. The category that said "Local" was changed to a number, 25 years because that is what we thought it meant when someone has lived somewhere for a time. If there are spaces in the data that means the person did not answer the question or we did not have that information, about them.

The university has some information about the area like how many people can read and write in different regions. This information is in a file, and it gives us an idea of what is going on in each area rather than telling us about individual people. The university is looking at things like literacy rates to get a better understanding of the situation.

This dataset is intended for academic research, teaching, and exploratory analysis in fields such as socioeconomic studies, regional development, education policy, and data science. Users should consider potential limitations related to self-reported responses, interviewer recording bias, and non-random sampling when interpreting results.
DOI: 10.17632/9xrh6try4b
title: Replication Package of Renewable Energy Diffusion Through Trade

description: This replication package contains all necessary datasets, Stata scripts, and documentation to replicate the study titled "The Trade Route to Renewables: Import as a Catalyst for the Diffusion of Renewable Energy Technology." The study examines how international trade, particularly imports, facilitates the diffusion of renewable energy technology (RET) knowledge stock across countries.

List of code files (.do)

- 00_Bilateral-Trade-Data-Compilation.do – Compiles and cleans bilateral trade data from ITC Trade Map, merges datasets, and removes inconsistencies.
- 0_RET-Diffusion-Data.do – Cleans, structures, and merges patent data with the compiled trade dataset.
- 01_RET-Trade-Data-Processing.do – Computes import and export-weighted RET knowledge exposure indices, and process macroeconomic & socioeconomic data.
- 02_RET-Trade-Regressions.do – Runs unit root tests, fixed-effects and IV regression models.
- 03_RET-Trade-Graphs-Residual-Charts.do – Creates graphs and charts from residual analysis

List of all datasets

1. Trade Data
- TradeDataset_AppendedV1.dta – Initial compiled bilateral trade dataset before merging with other datasets.
- motherdataset_stata_WD_ITC.dta – Final compiled bilateral trade dataset, structured as a country-year panel.

2. Patent Data
- patent_raw.dta – Raw patent data for renewable energy technologies from Our World in Data (OWID).
- Patent.dta – Cleaned and structured patent dataset.
- patent_reporter.dta – Patent dataset structured for reporting countries to merge with regression dataset.

3. Index Measuring RET Exposure Through Import & Export
- WD_index.dta – Dataset containing calculated import and export exposure indices, measuring trade-based knowledge spillovers.

4. Macroeconomic & Socioeconomic Data
- GDP_Country.dta – Real GDP and GDP per capita data from World Bank.
- Renewable_ELC.dta – Renewable energy share in electricity production dataset.
- RECons_ELC.dta – Total renewable electricity generation dataset.
- Popmerge_wdi.dta – Population data from World Development Indicators (WDI).
- population_owid.dta – Population data for missing countries (Taiwan, Palestine, Montserrat) from OWID.
- WGI.dta – World Governance Indicators dataset, sourced from the World Bank.
- REPolicy_IEA.dta – Number of active renewable energy policies per country from IEA.
- REPolicy_ImpIndex.dta – Computed Renewable Energy Policy Implementation Index using Principal Component Analysis (PCA).
- co2_energy.dta – Per capita CO2 emissions and energy intensity dataset from OWID.
- gross_enrollment.dta – Gross enrollment ratio in primary education dataset from UNESCO.
- average_years_of_schooling.dta – Average years of schooling dataset from UNDP.
- Fossil.dta – Per capita electricity consumption from fossil fuel dataset.

5. Final Processed Working Datasets (Versions 1-10)
- WD_v10_regression.dta – Final dataset used for regression analysis, including all necessary control variables, transformations, and standardizations.