cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30671669
title: Anndata for scBIOT analysis

description: These data were backups for the analysis in scBIOT library
DOI: 10.6084/m9.figshare.30671669.v2
title: Anndata for scBIOT analysis

description: These data were backups for the analysis in scBIOT library
DOI: 10.6084/m9.figshare.30671669.v1
title: Anndata for scBIOT analysis

description: These data were backups for the examples in scBIOT library
DOI: 10.3886/e240526
title: HIFLD OPEN Power Plants

description: This feature class/shapefile represents electric power plants. Power plants are all the land and land rights, structures and improvements, boiler or reactor vessel equipment, engines and engine-driven generators, turbo generator units, accessory electric equipment, and miscellaneous power plant equipment are grouped together for each individual facility. Included are the following plant types: hydroelectric dams, fossil fuel (coal, natural gas, or oil), nuclear, solar, wind, geothermal, and biomass.
description: Archived from the HIFLD Open GIS data repository, which was deactivated on August 26, 2025.
DOI: 10.3886/e240526v1
title: HIFLD OPEN Power Plants

description: This feature class/shapefile represents electric power plants. Power plants are all the land and land rights, structures and improvements, boiler or reactor vessel equipment, engines and engine-driven generators, turbo generator units, accessory electric equipment, and miscellaneous power plant equipment are grouped together for each individual facility. Included are the following plant types: hydroelectric dams, fossil fuel (coal, natural gas, or oil), nuclear, solar, wind, geothermal, and biomass.
description: Archived from the HIFLD Open GIS data repository, which was deactivated on August 26, 2025.
DOI: 10.34740/kaggle/dsv/13822453
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.17674166
title: Ciona_threat response_part I
DOI: 10.5281/zenodo.17674167
title: Ciona_threat response_part I
DOI: 10.15468/dl.ky4yc2
title: Occurrence Download

description: A dataset containing 31066 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Haematopus palliatus",
 "Year is 2018"
 ]
}

 The dataset includes 31066 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003014-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gfsgks
title: Occurrence Download

description: A dataset containing 16012 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Charadrius melodus, Charadrius melodus circumcinctus)",
 "Year is 2018"
 ]
}

 The dataset includes 16012 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003013-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17676307
title: Data and scripts for the study "Impact of Generative AI on Productivity in Software Development Teams"

description: Este repositório reúne os dados e scripts utilizados no Trabalho de Conclusão de Curso “Impacto da IA Generativa na Produtividade em Equipes de Desenvolvimento de Software”, desenvolvido no curso de Engenharia de Computação da UFSC.

O estudo avalia empiricamente o impacto de ferramentas baseadas em Modelos de Linguagem de Grande Porte (LLMs) nas métricas de produtividade de equipes de desenvolvimento de software, com foco em indicadores de fluxo como lead time e cycle time, alinhados às métricas DORA e ao framework SPACE.

O conjunto de dados inclui séries temporais agregadas de lead time e cycle time de múltiplas squads de uma consultoria de TI brasileira, em um período anterior e posterior à adoção massiva de ferramentas de IA generativa, além de artefatos derivados da análise de conteúdo de entrevistas com líderes de desenvolvimento.

Os scripts disponibilizados contemplam etapas de limpeza, transformação e análise estatística dos dados de processo, bem como geração de gráficos e tabelas apresentados no TCC (por exemplo, evolução temporal das métricas de fluxo e análises de tendência).

Todos os dados de times e pessoas foram anonimizados para preservar a confidencialidade organizacional, mantendo a estrutura necessária para reprodutibilidade das análises quantitativas e qualitativas. Este repositório tem como objetivo apoiar a transparência científica e facilitar estudos futuros sobre o impacto da IA generativa na produtividade de equipes de software.

--- English (Short Version)

This repository contains anonymized datasets and analysis scripts used in the study “Impact of Generative AI on Productivity in Software Development Teams”. The data covers lead time and cycle time metrics for multiple squads in a Brazilian IT consulting firm, before and after the mass adoption of LLM-based tools, as well as artifacts from the qualitative analysis of interviews with development leaders. The scripts reproduce the main statistical analyses and figures reported in the thesis.
DOI: 10.5281/zenodo.17676308
title: Data and scripts for the study "Impact of Generative AI on Productivity in Software Development Teams"

description: Este repositório reúne os dados e scripts utilizados no Trabalho de Conclusão de Curso “Impacto da IA Generativa na Produtividade em Equipes de Desenvolvimento de Software”, desenvolvido no curso de Engenharia de Computação da UFSC.

O estudo avalia empiricamente o impacto de ferramentas baseadas em Modelos de Linguagem de Grande Porte (LLMs) nas métricas de produtividade de equipes de desenvolvimento de software, com foco em indicadores de fluxo como lead time e cycle time, alinhados às métricas DORA e ao framework SPACE.

O conjunto de dados inclui séries temporais agregadas de lead time e cycle time de múltiplas squads de uma consultoria de TI brasileira, em um período anterior e posterior à adoção massiva de ferramentas de IA generativa, além de artefatos derivados da análise de conteúdo de entrevistas com líderes de desenvolvimento.

Os scripts disponibilizados contemplam etapas de limpeza, transformação e análise estatística dos dados de processo, bem como geração de gráficos e tabelas apresentados no TCC (por exemplo, evolução temporal das métricas de fluxo e análises de tendência).

Todos os dados de times e pessoas foram anonimizados para preservar a confidencialidade organizacional, mantendo a estrutura necessária para reprodutibilidade das análises quantitativas e qualitativas. Este repositório tem como objetivo apoiar a transparência científica e facilitar estudos futuros sobre o impacto da IA generativa na produtividade de equipes de software.

--- English (Short Version)

This repository contains anonymized datasets and analysis scripts used in the study “Impact of Generative AI on Productivity in Software Development Teams”. The data covers lead time and cycle time metrics for multiple squads in a Brazilian IT consulting firm, before and after the mass adoption of LLM-based tools, as well as artifacts from the qualitative analysis of interviews with development leaders. The scripts reproduce the main statistical analyses and figures reported in the thesis.
DOI: 10.15468/dl.ea942b
title: Occurrence Download

description: A dataset containing 1546 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Dendropsophus columbianus"
 ]
}

 The dataset includes 1546 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003017-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yc6g3s
title: Occurrence Download

description: A dataset containing 1202524 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amazilia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1202524 records from 449 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002982-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n6dqev
title: Occurrence Download

description: A dataset containing 81045 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Saucerottia saucerottei",
 "HasCoordinate is true"
 ]
}

 The dataset includes 81045 records from 200 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002995-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6wg2gz
title: Occurrence Download

description: A dataset containing 215664 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amazilia rutila",
 "HasCoordinate is true"
 ]
}

 The dataset includes 215664 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002987-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ksftv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Epipleoneura kaxuriana",
 "DecimalLongitude is not null",
 "DecimalLatitude is not null"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003018-251120083545085/datasets/export for details.
DOI: 10.5281/zenodo.17676654
title: Responden Rancabana Hijab (Elrayyan Store)
DOI: 10.5281/zenodo.17676653
title: Responden Rancabana Hijab (Elrayyan Store)
DOI: 10.15468/dl.c2s55s
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((79.45988 5.69983,82.0513 5.69983,82.0513 9.85283,79.45988 9.85283,79.45988 5.69983))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Fejervarya limnocharis"
 ]
}

 The dataset includes 62 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003019-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kzek2b
title: Occurrence Download

description: A dataset containing 287052 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Vaccinium uliginosum",
 "Year 1980-2025"
 ]
}

 The dataset includes 287052 records from 540 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003009-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t2f547
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((5.09955 45.85517,5.10116 45.853,5.11572 45.85657,5.11461 45.85923,5.09955 45.85517))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2016-2026"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002113-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/7r9z7pcjgc
title: Dataset

description: Transformational Leadership and Innovative Work Behavior in Educational Institutions
This dataset contains survey responses from 543 employees measuring Transformational Leadership, Innovative Work Behavior, Creative Process Engagement, Intrinsic Motivation, and Psychological Empowerment using 7-point Likert scales. The file includes demographic variables (age, gender, years of experience, institution type) and 44 scale items; data has been anonymized.
DOI: 10.17632/7r9z7pcjgc.1
title: Dataset

description: Transformational Leadership and Innovative Work Behavior in Educational Institutions
This dataset contains survey responses from 543 employees measuring Transformational Leadership, Innovative Work Behavior, Creative Process Engagement, Intrinsic Motivation, and Psychological Empowerment using 7-point Likert scales. The file includes demographic variables (age, gender, years of experience, institution type) and 44 scale items; data has been anonymized.
DOI: 10.17632/ty5wjj32pj
title: Comprehensive dataset of operational and embodied energy from multiple dwellings located in warm climates at latitude 0°, spanning four different decades.

description: This repository contains information of EE and OE of 54 houses located in the Costa region of Ecuador, spanning four different periods of construction (P1 1980 – 1990; P2 1990 - 2000; P3 2000 - 2010 and P4 2010 – 2020) and spread along the cities of Guayaquil, Portoviejo and Machala. The repository is organized into three main directories: Baseline Information, Embodied Energy Data, and Operational Energy Data. 
First, the Baseline Information (01_BI) contains all the first-hand meadured samples related information compiled in four Excel files (.xlsx) and one Energy Plus Weather file (.EPW). First, the file named 01_Samples_Attributes.xlsx which contains intrinsic and measured morphological characteristics for each one of the 54 houses studied. Second, a bill of materials with their quantities collected in-situ and units is included in the file named 02_BoM.xlsx. Third, the file 03_Space_Usage.xlsx presents the intensity of occupancy (m2) and the schedule (h) for Activity & Cooling, Lighting and Electrical Appliances usage in each one of the common spaces during weekdays and weekends. The updated climate file 04_Climate_Data.EPW which was used in the simulation processes in Design Builder Software. Lastly, the directory presents the indoor air temperature data collected in situ of four representative houses used for valitation, each corresponding to a different study period. This information is compiled in the file 05_Temperature_Measures.xlsx.
In second place, for the regard of Embodied Energy Data the corresponding folder’s name is “02_EE”, this directory presents six excel files (.xlsx) related to the EE of the 54 samples in the four periods categorized by component, element and materials. The first file is the 01_EE_Values.xlsx and contains the information related to the SW and EE obtained from bibliography of 21 materials of relevant use in the zone. second, a summary of the Specific Total Embodied Energy (STEE) calculations for all 54 houses included in the study under the name 02_STEE_Summary.xlsx. In addition, four similarly structured excel files, each corresponding to one study period and named as: 03_P1_EE.xlsx, 04_P2_EE.xlsx, 05_P3_EE.xlsx, and 06_P4_EE.xlsx. Each file compiles the detailed STEE data at the household level, where individual sheets are dedicated to each sample. These sheets are labeled according to the respective period and house identifier (e.g., P1-H1, P1-H2).
Lastly, the directory named “03_OE” contains the information related to Domestic Hot Water plus Cooking (d + c), Lighting and Electrical Appliances (l + e) and Space Cooling (sc) of each sample house. The OE directory is structured into two subdirectories containing Design Builder files .dsb: 01_OE_Validations and 02_OE_Simulations. Morever, two excel files. The first is a summary of the validation process 03_Validation.xlsx and the other for the summary of the OE calculated across all samples 04_STOE_Summary.xlsx.
DOI: 10.17632/ty5wjj32pj.2
title: Comprehensive dataset of operational and embodied energy from multiple dwellings located in warm climates at latitude 0°, spanning four different decades.

description: This repository contains information of EE and OE of 54 houses located in the Costa region of Ecuador, spanning four different periods of construction (P1 1980 – 1990; P2 1990 - 2000; P3 2000 - 2010 and P4 2010 – 2020) and spread along the cities of Guayaquil, Portoviejo and Machala. The repository is organized into three main directories: Baseline Information, Embodied Energy Data, and Operational Energy Data. 
First, the Baseline Information (01_BI) contains all the first-hand meadured samples related information compiled in four Excel files (.xlsx) and one Energy Plus Weather file (.EPW). First, the file named 01_Samples_Attributes.xlsx which contains intrinsic and measured morphological characteristics for each one of the 54 houses studied. Second, a bill of materials with their quantities collected in-situ and units is included in the file named 02_BoM.xlsx. Third, the file 03_Space_Usage.xlsx presents the intensity of occupancy (m2) and the schedule (h) for Activity & Cooling, Lighting and Electrical Appliances usage in each one of the common spaces during weekdays and weekends. The updated climate file 04_Climate_Data.EPW which was used in the simulation processes in Design Builder Software. Lastly, the directory presents the indoor air temperature data collected in situ of four representative houses used for valitation, each corresponding to a different study period. This information is compiled in the file 05_Temperature_Measures.xlsx.
In second place, for the regard of Embodied Energy Data the corresponding folder’s name is “02_EE”, this directory presents six excel files (.xlsx) related to the EE of the 54 samples in the four periods categorized by component, element and materials. The first file is the 01_EE_Values.xlsx and contains the information related to the SW and EE obtained from bibliography of 21 materials of relevant use in the zone. second, a summary of the Specific Total Embodied Energy (STEE) calculations for all 54 houses included in the study under the name 02_STEE_Summary.xlsx. In addition, four similarly structured excel files, each corresponding to one study period and named as: 03_P1_EE.xlsx, 04_P2_EE.xlsx, 05_P3_EE.xlsx, and 06_P4_EE.xlsx. Each file compiles the detailed STEE data at the household level, where individual sheets are dedicated to each sample. These sheets are labeled according to the respective period and house identifier (e.g., P1-H1, P1-H2).
Lastly, the directory named “03_OE” contains the information related to Domestic Hot Water plus Cooking (d + c), Lighting and Electrical Appliances (l + e) and Space Cooling (sc) of each sample house. The OE directory is structured into two subdirectories containing Design Builder files .dsb: 01_OE_Validations and 02_OE_Simulations. Morever, two excel files. The first is a summary of the validation process 03_Validation.xlsx and the other for the summary of the OE calculated across all samples 04_STOE_Summary.xlsx.
DOI: 10.17632/sj6mvndk7m
title: Attractiveness, development, and infestation of Hypothenemus hampei in arabica coffee treated with Beauveria bassiana and prebiotics

description: This dataset supports the research article “Attractiveness and development of the coffee berry borer (Hypothenemus hampei) in arabica coffee treated with prebiotics and Beauveria bassiana.” The data were generated from a series of laboratory and field experiments designed to evaluate the effects of yeast-derived prebiotics, applied alone or in combination with the entomopathogenic fungus Beauveria bassiana, on the behavior, survival, and reproduction of the coffee berry borer (CBB).
The dataset includes raw and processed data from four complementary experiments: (i) field trap experiments assessing the attractiveness of two prebiotics (Preb1 and Preb2) compared with a methanol:ethanol kairomone and a water control; (ii) laboratory free-choice assays evaluating CBB preference for treated coffee fruits; (iii) laboratory no-choice assays measuring adult survival and progeny development (eggs and larvae) inside treated coffee fruits; and (iv) a field trial with artificial infestation assessing the incidence of CBB in coffee plants after treatment application.

Data were collected under controlled laboratory conditions and in commercial and experimental coffee fields in Lavras, Minas Gerais, Brazil. Variables include numbers of captured females in traps, numbers of boring females, perforations and insects per fruit, adult survival, egg and larval counts, and field incidence parameters such as bored fruits and live adults. Standardized experimental designs and statistical analyses (ANOVA and generalized linear models) were applied to ensure reproducibility and reliability.
These data can be used to support, reproduce, or extend analyses on biological control strategies for H. hampei, particularly studies focused on integrated pest management, fungal entomopathogens, formulation additives, and sustainable coffee production systems.
DOI: 10.17632/sj6mvndk7m.1
title: Attractiveness, development, and infestation of Hypothenemus hampei in arabica coffee treated with Beauveria bassiana and prebiotics

description: This dataset supports the research article “Attractiveness and development of the coffee berry borer (Hypothenemus hampei) in arabica coffee treated with prebiotics and Beauveria bassiana.” The data were generated from a series of laboratory and field experiments designed to evaluate the effects of yeast-derived prebiotics, applied alone or in combination with the entomopathogenic fungus Beauveria bassiana, on the behavior, survival, and reproduction of the coffee berry borer (CBB).
The dataset includes raw and processed data from four complementary experiments: (i) field trap experiments assessing the attractiveness of two prebiotics (Preb1 and Preb2) compared with a methanol:ethanol kairomone and a water control; (ii) laboratory free-choice assays evaluating CBB preference for treated coffee fruits; (iii) laboratory no-choice assays measuring adult survival and progeny development (eggs and larvae) inside treated coffee fruits; and (iv) a field trial with artificial infestation assessing the incidence of CBB in coffee plants after treatment application.

Data were collected under controlled laboratory conditions and in commercial and experimental coffee fields in Lavras, Minas Gerais, Brazil. Variables include numbers of captured females in traps, numbers of boring females, perforations and insects per fruit, adult survival, egg and larval counts, and field incidence parameters such as bored fruits and live adults. Standardized experimental designs and statistical analyses (ANOVA and generalized linear models) were applied to ensure reproducibility and reliability.
These data can be used to support, reproduce, or extend analyses on biological control strategies for H. hampei, particularly studies focused on integrated pest management, fungal entomopathogens, formulation additives, and sustainable coffee production systems.