cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.qm2cr5
title: Occurrence Download

description: A dataset containing 9416 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Mazus pumilus (Burm.fil.) Steenis)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 9416 records from 202 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009849-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/jbt6nzz9gr.1
title: Comprehensive Dataset on 1688 Sannio–Matese Earthquake Environmental Impact

description: The 1688 Sannio–Matese earthquake that struck the province of Benevento in Southern Italy on June 5 had a profound impact on the region. This seismic event caused extensive damage and significant environmental effects with I=XI Mercalli-Cancani-Sieberg (MCS) and Mw=7.0. Our study addresses a critical knowledge gap regarding the earthquake's environmental effects by compiling a comprehensive dataset documenting the environmental seismic impact of the earthquake. 
We present a dataset of 43 environmental effects of the earthquake (EEEs), organized in a table format. For each locality where an EEE has been documented, the dataset includes the following information:
• ID label: an identification number;
• Locality: the geographic location where the EEE occurred; 
• Latitude and longitude: the geographic coordinates of EEE; 
• Epicentral distance (km): the distance from the epicenter of the earthquake to the locality of the EEE;
• IMCS: the local macroseismic intensity assessed using the MCS (Mercal-li-Cancaci-Sieberg) scale from the CFTIMed catalogue;
• Earthquake's Environmental Effects (EEEs): the type of the environmental effect, such as ground cracks, gas exhalation, hydrological anomalies, liquefaction, surface faulting, slope movements and jumping stones; 
• Class of EEEs: describes if the effect is primary (P) and/or secondary (S); 
• Main source of information coeval with the 1688 earthquake: describes the observed effect provided by the information coeval with the earthquake; 
• All contemporary and post-earthquake sources: contains all the consulted original literatures that reports the event;
• IESI: is the local macroseismic intensity assessed using the ESI-07 scale.

This study offers a critical reassessment of the earthquake's magnitude using environmental criteria, shedding light on the significance of environmental effect distribution for seismic hazard evaluations and land-use planning in the Sannio–Matese region. The results have the potential to improve seismic hazard models and guide strategies for infrastructure resilience, providing actionable data to mitigate risks in the Sannio-Matese area.
DOI: 10.15468/dl.j5k89x
title: Occurrence Download

description: A dataset containing 3178 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cyperus compressus L.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 3178 records from 277 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009850-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/twrhk5hjbd.1
title: Cumulative cashflow from the rooftop PV-T collectors’ installations in Tarragona .

description: This is the dataset of annual cashflows from the proposed PV-T installations in the 184 municipalities of Tarragona according the techno-economic analysis done in the paper. The annual cumulative cashflows were used to generate the bar chart in Figure 8 in the paper.
DOI: 10.17632/zw6xxr3c5g
title: Results and Analysis of Coastal Cultural Heritage at Environmental Risk: Directions for Conservation and Safeguarding

description: The Coastline Project, developed by the Laboratory of Archaeology and Conservation of Underwater Heritage, of the Polytechnic Institute of Tomar, in partnership with the non-profit association CAAPortugal. The main objective is to diagnose the risks induced by environmental factors and climate change in coastal cultural heritage. This problem has been seen as fundamental to understanding the impact of worsening climate change on safeguarding the remains recorded in the Portuguese interface area. The study takes place essentially in the interface zone up to 100 m from the coastal strip. The observations made it possible to identify the presence of 288 archaeological sites in this area (except the Algarve region), with a large part of them (204) at high risk of destruction in a time that was calculated to be less than 50 years. The research cross-references data from the Portuguese Environment Agency (APA) and records present in the database of the cultural heritage guardianship entity - Património Cultural Instituto Público (PC-IP). The high rate of sites at risk currently presents a growing concern in heritage management and the preservation of cultural traces of ancient occupation. To minimize impacts, it is proposed that the supervisory entity (PC-IP) together with a committee of researchers from different higher education institutions can consider possibilities and strategies to guarantee the study and future safeguarding of these sites. Data is shared for better management, including municipal, site analysis and development of mitigation strategies.
DOI: 10.17632/zw6xxr3c5g.1
title: Results and Analysis of Coastal Cultural Heritage at Environmental Risk: Directions for Conservation and Safeguarding

description: The Coastline Project, developed by the Laboratory of Archaeology and Conservation of Underwater Heritage, of the Polytechnic Institute of Tomar, in partnership with the non-profit association CAAPortugal. The main objective is to diagnose the risks induced by environmental factors and climate change in coastal cultural heritage. This problem has been seen as fundamental to understanding the impact of worsening climate change on safeguarding the remains recorded in the Portuguese interface area. The study takes place essentially in the interface zone up to 100 m from the coastal strip. The observations made it possible to identify the presence of 288 archaeological sites in this area (except the Algarve region), with a large part of them (204) at high risk of destruction in a time that was calculated to be less than 50 years. The research cross-references data from the Portuguese Environment Agency (APA) and records present in the database of the cultural heritage guardianship entity - Património Cultural Instituto Público (PC-IP). The high rate of sites at risk currently presents a growing concern in heritage management and the preservation of cultural traces of ancient occupation. To minimize impacts, it is proposed that the supervisory entity (PC-IP) together with a committee of researchers from different higher education institutions can consider possibilities and strategies to guarantee the study and future safeguarding of these sites. Data is shared for better management, including municipal, site analysis and development of mitigation strategies.
DOI: 10.15468/dl.x4w2c3
title: Occurrence Download

description: A dataset containing 6699 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Anthriscus sylvestris (L.) Hoffm., Bromus tectorum L., Campylopus introflexus (Hedw.) Brid., Heracleum mantegazzianum Sommier & Levier, Lotus corniculatus L., Lupinus nootkatensis Donn ex Sims, Montia fontana L., Potamogeton perfoliatus L., Sagina procumbens L., Senecio inaequidens DC., Senecio vulgaris L., Trifolium repens L., Veronica serpyllifolia L.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Country is one of (Iceland)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6699 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009851-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/8thcjw5533.1
title: Replication Package for Wallskog (JFE 2025): Entrepreneurial Spillovers Across Coworkers

description: Replication files for "Entrepreneurial Spillovers Across Coworkers" by Melanie Wallskog, published in the Journal of Financial Economics.
Includes code to create pseudo (fake) data to test the data build and analysis code. Please note that the pseudo data does not reflect anything about the actual data used in the project (beyond variable names), and consequently the code does not produce the actual values in the tables and figures in the paper.
DOI: 10.17632/8thcjw5533.2
title: Replication Package for Wallskog (JFE 2025): Entrepreneurial Spillovers Across Coworkers

description: Replication files for "Entrepreneurial Spillovers Across Coworkers" by Melanie Wallskog, published in the Journal of Financial Economics.
Includes code to create pseudo (fake) data to test the data build and analysis code. Please note that the pseudo data does not reflect anything about the actual data used in the project (beyond variable names), and consequently the code does not produce the actual values in the tables and figures in the paper.
DOI: 10.17632/bvnxchnhsz.1
title: Enhancement and Research of Ourém’s Cultural Heritage. (PIA project - DGPC, 2023)

description: The PIA acronym project presents a set of archaeological sites recognized for the first time in 2023, together with others that have been confirmed on the ground. This data may be useful for local Territory management, environmental impact studies or construction monitoring. In shared links you will be able to see some published articles related to archaeological sites or work developed.
DOI: 10.17632/cnzy8jyjdj.1
title: New insights to Pollution and Carbon Reduction Effects of China Pilot Carbon markets: Perspectives on Technological Progress and Corporate Disincentives

description: Panel data from 271 prefecture-level cities in China (excluding Tibet and Xinjiang owing to data availability) from 2006 to 2021 were utilized to empirically examine the effects of the pilot carbon market on pollution and carbon reduction. The sample encompasses both pilot and non-pilot areas to investigate how the carbon market influences the relative number of enterprises in pilot cities. The study period concludes in 2021 due to the launch of China's national unified carbon market in July 2021. 

green technological innovation (Green), industrial structure upgrading (Ind), energy structure (Energy), and the relative number of enterprises (Firm) were selected as mediating variables. Green technological innovation is measured using the logarithmic value of green invention patent authorization. Industrial structure upgrading is quantified by the ratio of tertiary industry added value to secondary industry added value. The energy structure is quantified by the ratio of standard coal from the total electricity consumption and LPG gas supply to the total tons of standard coal in the whole society. The change in the relative number of firms is measured by the mean value of the number of firms. The detailed calculations are as follows:.
"Firm=" "x_it" /"μ" 
"x_it" denotes the number of above-scale industrial enterprises in city i in year t. μ represents the mean value of the number of above-scale industrial enterprises across all cities from 2006 to 2021, indicating the city's number of enterprises relative to the national average.
Gdp: Logarithmic value of GDP
Fin: Ratio of loan balance of financial institutions to regional GDP at the end of the year
Struc: Ratio of secondary and tertiary sector output to GDP
Sci_edu: Logarithm of the ratio of education and science and technology expenditures to general government expenditures
Fdi: ratio of actual utilization of foreign capital to regional GDP.
The environmental pollution index comprises three indicators: sulfur dioxide, PM2.5, and Industrial fumes and dust emission. The improved entropy weight TOPSIS method is employed to construct a comprehensive environmental pollution index.
DOI: 10.17632/cnzy8jyjdj.2
title: New insights to Pollution and Carbon Reduction Effects of China Pilot Carbon markets: Perspectives on Technological Progress and Corporate Disincentives

description: Panel data from 271 prefecture-level cities in China (excluding Tibet and Xinjiang owing to data availability) from 2006 to 2021 were utilized to empirically examine the effects of the pilot carbon market on pollution and carbon reduction. The sample encompasses both pilot and non-pilot areas to investigate how the carbon market influences the relative number of enterprises in pilot cities. The study period concludes in 2021 due to the launch of China's national unified carbon market in July 2021. 

green technological innovation (Green), industrial structure upgrading (Ind), energy structure (Energy), and the relative number of enterprises (Firm) were selected as mediating variables. Green technological innovation is measured using the logarithmic value of green invention patent authorization. Industrial structure upgrading is quantified by the ratio of tertiary industry added value to secondary industry added value. The energy structure is quantified by the ratio of standard coal from the total electricity consumption and LPG gas supply to the total tons of standard coal in the whole society. The change in the relative number of firms is measured by the mean value of the number of firms. The detailed calculations are as follows:.
"Firm=" "x_it" /"μ" 
"x_it" denotes the number of above-scale industrial enterprises in city i in year t. μ represents the mean value of the number of above-scale industrial enterprises across all cities from 2006 to 2021, indicating the city's number of enterprises relative to the national average.
Gdp: Logarithmic value of GDP
Fin: Ratio of loan balance of financial institutions to regional GDP at the end of the year
Struc: Ratio of secondary and tertiary sector output to GDP
Sci_edu: Logarithm of the ratio of education and science and technology expenditures to general government expenditures
Fdi: ratio of actual utilization of foreign capital to regional GDP.
The environmental pollution index comprises three indicators: sulfur dioxide, PM2.5, and Industrial fumes and dust emission. The improved entropy weight TOPSIS method is employed to construct a comprehensive environmental pollution index.
DOI: 10.17632/cnzy8jyjdj.3
title: New insights to Pollution and Carbon Reduction Effects of China Pilot Carbon markets: Perspectives on Technological Progress and Corporate Disincentives

description: Panel data from 271 prefecture-level cities in China (excluding Tibet and Xinjiang owing to data availability) from 2006 to 2021 were utilized to empirically examine the effects of the pilot carbon market on pollution and carbon reduction. The sample encompasses both pilot and non-pilot areas to investigate how the carbon market influences the relative number of enterprises in pilot cities. The study period concludes in 2021 due to the launch of China's national unified carbon market in July 2021. 

green technological innovation (Green), industrial structure upgrading (Ind), energy structure (Energy), and the relative number of enterprises (Firm) were selected as mediating variables. Green technological innovation is measured using the logarithmic value of green invention patent authorization. Industrial structure upgrading is quantified by the ratio of tertiary industry added value to secondary industry added value. The energy structure is quantified by the ratio of standard coal from the total electricity consumption and LPG gas supply to the total tons of standard coal in the whole society. The change in the relative number of firms is measured by the mean value of the number of firms. The detailed calculations are as follows:.
"Firm=" "x_it" /"μ" 
"x_it" denotes the number of above-scale industrial enterprises in city i in year t. μ represents the mean value of the number of above-scale industrial enterprises across all cities from 2006 to 2021, indicating the city's number of enterprises relative to the national average.
Gdp: Logarithmic value of GDP
Fin: Ratio of loan balance of financial institutions to regional GDP at the end of the year
Struc: Ratio of secondary and tertiary sector output to GDP
Sci_edu: Logarithm of the ratio of education and science and technology expenditures to general government expenditures
Fdi: ratio of actual utilization of foreign capital to regional GDP.
The environmental pollution index comprises three indicators: sulfur dioxide, PM2.5, and Industrial fumes and dust emission. The improved entropy weight TOPSIS method is employed to construct a comprehensive environmental pollution index.
DOI: 10.17632/cnzy8jyjdj.4
title: New insights to Pollution and Carbon Reduction Effects of China Pilot Carbon markets: Perspectives on Technological Progress and Corporate Disincentives

description: Panel data from 271 prefecture-level cities in China (excluding Tibet and Xinjiang owing to data availability) from 2006 to 2021 were utilized to empirically examine the effects of the pilot carbon market on pollution and carbon reduction. The sample encompasses both pilot and non-pilot areas to investigate how the carbon market influences the relative number of enterprises in pilot cities. The study period concludes in 2021 due to the launch of China's national unified carbon market in July 2021. 

green technological innovation (Green), industrial structure upgrading (Ind), energy structure (Energy), and the relative number of enterprises (Firm) were selected as mediating variables. Green technological innovation is measured using the logarithmic value of green invention patent authorization. Industrial structure upgrading is quantified by the ratio of tertiary industry added value to secondary industry added value. The energy structure is quantified by the ratio of standard coal from the total electricity consumption and LPG gas supply to the total tons of standard coal in the whole society. The change in the relative number of firms is measured by the mean value of the number of firms. The detailed calculations are as follows:.
"Firm=" "x_it" /"μ" 
"x_it" denotes the number of above-scale industrial enterprises in city i in year t. μ represents the mean value of the number of above-scale industrial enterprises across all cities from 2006 to 2021, indicating the city's number of enterprises relative to the national average.
Gdp: Logarithmic value of GDP
Fin: Ratio of loan balance of financial institutions to regional GDP at the end of the year
Struc: Ratio of secondary and tertiary sector output to GDP
Sci_edu: Logarithm of the ratio of education and science and technology expenditures to general government expenditures
Fdi: ratio of actual utilization of foreign capital to regional GDP.
The environmental pollution index comprises three indicators: sulfur dioxide, PM2.5, and Industrial fumes and dust emission. The improved entropy weight TOPSIS method is employed to construct a comprehensive environmental pollution index.
DOI: 10.17632/cnzy8jyjdj.5
title: New insights to Pollution and Carbon Reduction Effects of China Pilot Carbon markets: Perspectives on Technological Progress and Corporate Disincentives

description: Panel data from 271 prefecture-level cities in China (excluding Tibet and Xinjiang owing to data availability) from 2006 to 2021 were utilized to empirically examine the effects of the pilot carbon market on pollution and carbon reduction. The sample encompasses both pilot and non-pilot areas to investigate how the carbon market influences the relative number of enterprises in pilot cities. The study period concludes in 2021 due to the launch of China's national unified carbon market in July 2021. 

green technological innovation (Green), industrial structure upgrading (Ind), energy structure (Energy), and the relative number of enterprises (Firm) were selected as mediating variables. Green technological innovation is measured using the logarithmic value of green invention patent authorization. Industrial structure upgrading is quantified by the ratio of tertiary industry added value to secondary industry added value. The energy structure is quantified by the ratio of standard coal from the total electricity consumption and LPG gas supply to the total tons of standard coal in the whole society. The change in the relative number of firms is measured by the mean value of the number of firms. The detailed calculations are as follows:.
"Firm=" "x_it" /"μ" 
"x_it" denotes the number of above-scale industrial enterprises in city i in year t. μ represents the mean value of the number of above-scale industrial enterprises across all cities from 2006 to 2021, indicating the city's number of enterprises relative to the national average.
Gdp: Logarithmic value of GDP
Fin: Ratio of loan balance of financial institutions to regional GDP at the end of the year
Struc: Ratio of secondary and tertiary sector output to GDP
Sci_edu: Logarithm of the ratio of education and science and technology expenditures to general government expenditures
Fdi: ratio of actual utilization of foreign capital to regional GDP.
The environmental pollution index comprises three indicators: sulfur dioxide, PM2.5, and Industrial fumes and dust emission. The improved entropy weight TOPSIS method is employed to construct a comprehensive environmental pollution index.
DOI: 10.17632/th64wyckgs.1
title: Data&code

description: Please use STATA statistics software to run the code and data
DOI: 10.17632/nkxw5nhh4m.1
title: Tapping into relief

description: Supplemental video for Ong et al. Tapping into relief
DOI: 10.17632/nkxw5nhh4m.2
title: Tapping into relief

description: Supplemental video for Ong et al. Tapping into relief
DOI: 10.17632/nkxw5nhh4m.3
title: Tapping into relief

description: Supplemental video for Tapping into relief
DOI: 10.17632/dmr6tmbbkg.1
title: LINF_140018700

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/rb2gt2rwhh.1
title: LINF_140018900

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/nv8fxpvgnw.1
title: LINF_140018400

description: Phosphatidylserine synthase; Leishmania infantum (strain JPCM5)