cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/mwvjmp2wyx.1
title: LST: Campus USP Butantã

description: This dataset is part of a PhD research entitled "Urban heating, lack of green and lack of space: proposals for urban redesign to adapt to climate change at the microscale in the city of São Paulo".

**General Details
This dataset includes four items. Three of them are PNG images showing different maps of Land Surface Temperature (LST) for the University of São Paulo, Campus Butantã area – one map for all the seasons, and two representing the hottest ones. Regarding LST, the values were processed from scenes of Landsat 8 and 9 TIRS (path 219 row 76) in different periods of time. All the Landsat scenes were acquired from Collection 2, Level 1, Tier 1 (C2L1T1), do not present cloud coverage over the urban area, have a spatial resolution of 30m, and the Landsat time of passage over the city of São Paulo is ~10:00a.m. Also, all the LST maps represent an average value for a specific time period in each pixel. The LST calculation was based on Emmanuel et al. (2023), and the steps are listed below:

1. Converting the Digital Numbers of each pixel of Band10 into Radiance Values
2. Calculating the brightness temperature
3. Calculating NDVI
4. Calculating the Proportion of Vegetation 
5. Calculating Land Surface Emissivity
6. Calculating LST converted to Celsius degrees

Finally, the fourth item is the shapefile used for spatializing the Campus’ boundaries. More details and specificities on the four files can be seen below. Everything was processed in QGIS LTR 3.28.11, using the projection: EPSG 31983 – SIRGAS 2000/ UTM zone 23S.

* PNG_01 – The general average
A LST map produced from 41 Landsat 8 and 9 TIRS scenes (35 from L8 and 6 from L9), obtained from Apr/2013 to Dec/2023. 

*PNG_02 – The average for the spring season 
A LST map produced from using 7 Landsat 8 and 9 TIRS scenes (6 from L8 and 1 from L9), obtained from Sep/2015 to Dec/2023.

*PNG_03 – The average for the summer season
A LST map produced from using 8 Landsat 8 and 9 TIRS scenes (7 from L8 and 1 from L9), obtained from Feb/2014 to Mar/2023.

*Campus’ boundaries shapefile
A shapefile obtained from the open and public source GEOSAMPA was used for extracting the campus boundaries (https://geosampa.prefeitura.sp.gov.br/PaginasPublicas/_SBC.aspx#) 

References

Emmanuel, R., Jalal, M., Ogunfuyi, S., Maharoof, N., Zala, M., Perera, N., & Ratnayake, R. (2023). Urban Heat Risk: Protocols for Mapping and Implications for Colombo, Sri Lanka. Atmosphere, 14(2). https://doi.org/10.3390/atmos14020343 
 
Acknowledgements:

This work was supported by the São Paulo Research Foundation (FAPESP) - grants #2021/04751-7, #2023/03279-8, #2022/08401-3, #2021/11762-5 and #2020/06694-8, by the National Council for Scientific and Technological Development, CNPq - grant #312592/2021-3, and by Coordination for the Improvement of Higher Education Personnel (CAPES) - grant #88881.688962/2022-01.
DOI: 10.17632/cj5wg3nfxd.1
title: LDHU3_15.1830

description: Phosphomevalonate kinase; Leishmania donovani (HU3 strain)
DOI: 10.6084/m9.figshare.28229162
title: Cell cycle dynamics & EdU Index (Fig. S7AB) - AZD-8055 treatment

description: Juveniles were dissociated in pools of 15 polyps. Prior dissociation were labeled for 30 min with EdU (100uM, 2%DMSO) over several time points after feeding, and then dissociated and fixed using Trypsin/formaldehyde. Cells were stained with 1μg/ml FxCycle violet DNA dye (Invitrogen), EdU was labelled with Alexa647 using a Click-it reaction, and mOr2 was detected with anti-dsRed (Rabbit, Takara Bio Clontech 632496) and goat-anti-rabbit Alexa568.Flow cytometry was performed a BD LSRFortessa (BD Life Sciences) and the mOr2 and EdU positive cells in samples were determined based on Alexa568 and Alexa647 fluorescence in comparison with the negative controls on cells within the cell cycle (based on DNA staining) using FlowJoV10.8 (BD Life Sciences)..wsp files contain the samples, gating strategy and cell populations used for the analysis in FlowJo.fcs files represent the individual flow cytometry output files that were analysed in the .wsp file
DOI: 10.5255/ukda-sn-857307
title: Local Energy Systems in Great Britain: Policy Instrument Database, 2010-2022

description: This project explored the development of policy and practice for local energy systems (LES) across England, Scotland and Wales. It aimed to provide evidence, and learning, about the role of more locally integrated energy systems, and the policy approaches being pursued in Great Britain. 

The research analysed policy mixes for local energy systems and developed a database of relevant government policies from 2010 to 2021 (deposited here). These policies were identified based on systematic analysis of published government energy strategies, alongside strategies specifically concerned with ‘local’, ‘community’ or ‘area-based’ energy. This resulted in detailed analysis of over 50 policy documents and identification of 105 policy instruments across the three jurisdictions. Documentation was retrieved primarily from Scottish, Welsh and UK Government websites. Details about individual instruments were then collated using government sources (for example, evaluation reports), or websites of managing organisations. If financial information about an instrument was obscure, Freedom of Information (FOI) requests were submitted to establish additional detail, but financial information for some instruments remained unclear. The authors each cross-checked the instrument database drawing on their expertise in Scottish, Welsh and UK Government energy policy. 

The instrument database was also verified through review by two external policy experts.
DOI: 10.5255/ukda-sn-857308
title: Local Energy Systems: Institutional Maps of Great Britain, 2022

description: The purpose of this project was to explore the institutions and organisations that are shaping the development of local energy systems in Great Britain, comparing England, Scotland and Wales. The project was part of the UK Energy Research Centre (UKERC). 

Institutional mapping explores functional relationships and powers relevant to decision-making. It focuses on the key actors, their interactions, where power is located, who has the ability to influence and make decisions, and sources of funding. The objective is to create a (simplified) visual representation of the different groups and organizations within a community and their relationships and importance for decision-making. In order to explore the governance frameworks and actor networks for LES in England, Wales and Scotland governance mapping was carried out for the three jurisdictions. Draft institutional maps of local energy systems in England, Scotland and Wales were developed through a desk-based review of key organisations, (formal) institutions, rules, relationships and decision-making power based on a database of LES relevant strategy documents and policy instruments (data also deposited). These maps were validated based on interviews with energy system stakeholders to valuate accuracy, and explore informal agenda setting power, future policy needs and governance gaps. Interviews were carried out with a total of 21 people, across 18 organisations, including government, local authorities, distribution network operators, regulators, consultants and NGOs. Maps were revised and finalised based on interview outputs and published in September 2022. The institutional maps developed are deposited here together with the interview schedule.
DOI: 10.15468/dl.hymec6
title: Occurrence Download

description: A dataset listing the 2179 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is one of (South Africa, Eswatini, Lesotho)",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 1950-2025"
 ]
}

 The dataset's 2179 records were derived from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000298-250117103327516/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.28229126
title: NVSL Analysis Demo Expected Outputs

description: Expected outputs for the demo of the source code accompanying "Spatial learning in feature-impoverished environments in <i>Drosophila" (</i>Yang Chen, Robert Alfredson, Dorsa Motevalli, Ulrich Stern, Chung-Hui Yang, bioRxiv 2024.09.28.615625; doi: https://doi.org/10.1101/2024.09.28.615625).<br>The files consist of a log reporting results by fly (__analyze.log), a CSV containing tables of additional metrics such as walking speed, number of rewards, proportion of rewards obtained without contacting chamber sidewall, etc. (learning_stats.csv), and a series of plots and images.
DOI: 10.6084/m9.figshare.28229126.v1
title: NVSL Analysis Demo Expected Outputs

description: Expected outputs for the demo of the source code accompanying "Spatial learning in feature-impoverished environments in <i>Drosophila" (</i>Yang Chen, Robert Alfredson, Dorsa Motevalli, Ulrich Stern, Chung-Hui Yang, bioRxiv 2024.09.28.615625; doi: https://doi.org/10.1101/2024.09.28.615625).<br>The files consist of a log reporting results by fly (__analyze.log), a CSV containing tables of additional metrics such as walking speed, number of rewards, proportion of rewards obtained without contacting chamber sidewall, etc. (learning_stats.csv), and a series of plots and images.
DOI: 10.6073/pasta/a4289f0a0ae95385c68973e583a2a2f6
title: Manually-collected discharge data for multiple inflow and outflow tributaries at Falling Creek Reservoir, Beaverdam Reservoir, and Carvins Cove Reservoir, Virginia, USA from 2019-2024

description: Discharge rates at multiple inflow streams into Falling Creek Reservoir (Vinton, Virginia, USA), Beaverdam Reservoir (Vinton, Virginia, USA), Carvins Cove Reservoir (Roanoke, Virginia, USA), and one outflow at Falling Creek Reservoir were measured manually using multiple methods from 2019-2024. Falling Creek Reservoir, Beaverdam Reservoir, and Carvins Cove Reservoir are owned and operated by the Western Virginia Water Authority as drinking water sources for Roanoke, Virginia. The dataset consists of discharge rates calculated using one of four methods: handheld flowmeter, salt injection, velocity float, or bucket method. Data were collected weekly to monthly from February through October 2019 at Falling Creek and Beaverdam Reservoir, and approximately monthly to seasonally at Falling Creek and Carvins Cove from 2020-2024.
DOI: 10.17632/3y2hfcj8ss.1
title: metabolomic analysis in WT and 3miR-OE#3 rice plants.

description: The observed opposite alteration in key genes in the lignin and flavonoid synthesis pathways prompted us to analyze the differences in metabolic products between WT and 3miR-OE plants. To this end, we carried out a non-targeted metabolomic and targeted metabolomic analysis to identify metabolites derived from phenylpropanoid pathways. 
01-04 named as 3miR-OE 41-44 named as miR408-OE N1-N4 named as Nip the CK
DOI: 10.17632/hcg4z27fkv.1
title: LDHU3_18.2090

description: Protein of unknown function - conserved; Leishmania donovani (HU3 strain)
DOI: 10.6084/m9.figshare.28228976
title: NVSL Analysis Demo Sample Experiments

description: Raw data to use as inputs for running a demo of the source code accompanying "Spatial learning in feature-impoverished environments in <i>Drosophila" (</i>Yang Chen, Robert Alfredson, Dorsa Motevalli, Ulrich Stern, Chung-Hui Yang, bioRxiv 2024.09.28.615625; doi: https://doi.org/10.1101/2024.09.28.615625).<br>The files consist of sample video recordings of spatial navigation learning experiments, along with companion files containing the flies' tracking data (.trx files) and the details of the experiment (.data files).
DOI: 10.6084/m9.figshare.28228976.v1
title: NVSL Analysis Demo Sample Experiments

description: Raw data to use as inputs for running a demo of the source code accompanying "Spatial learning in feature-impoverished environments in <i>Drosophila" (</i>Yang Chen, Robert Alfredson, Dorsa Motevalli, Ulrich Stern, Chung-Hui Yang, bioRxiv 2024.09.28.615625; doi: https://doi.org/10.1101/2024.09.28.615625).<br>The files consist of sample video recordings of spatial navigation learning experiments, along with companion files containing the flies' tracking data (.trx files) and the details of the experiment (.data files).
DOI: 10.17632/686c6s5pff.1
title: Visceral Influences and Gender Difference in Competitiveness

description: Abstract: Building upon the much-celebrated sex-specific hypothesis regarding visceral responses, we explore the potential impact of visceral responses on the well-replicated gender difference in competitiveness. In the first experiment, we document that exposure to the piece-rate and tournament tasks leads to an arousal of sex hormones among men, while women do not experience a similar response. This arousal is positively associated with competitiveness. In the second experiment, we observe that the gender gap in competitiveness is reduced by introducing a resting period. Our results contribute to the literature on gender differences in the willingness to compete and suggest that mitigating visceral influences is beneficial for promoting gender equality.

Documentation of Data Files and Codes (In Stata):

*=======================================================

* Data files: 
* vrexp2.dta is the data file for Experiment 1 with hormonal essays
* vrexp2_hormoneassays.dta is the data file for the duplicated hormonal essays in Experiment 1
* vrexp1.dta is the data file for Experiment 2 with the control and rest conditions

*=======================================================

* Summary statistics for both experiments: 

* Table 1 and Table 3 summary of characteristics 
do sum_chara_gender 

*-----------------------
* Experiment 1 Results 
*-----------------------

* Figure 2: Cross-plots of Hormonal Levels
do gr_hormone_distribution 

* Figure 3 Hormonal Responses
do gr_hormone 

* Correlations between baseline hormon levels and tournament entry 
* Figure 4 and Table A4, A5, A6 
do gr_binscatter_baseline 

* Correlations between hormonal responses and tournament entry 
* Figures 5 and 6, Tables A7, A8, A9 
do gr_binscatter 

* Table 2 Do Hormonal Responses Explain Gender Difference in Competitiveness
do reg_c_gh 

*-----------------------
* Experiment 2 Results 
*-----------------------

* Figures 7 Competitiveness by Gender and Condition 
do gr_genderTgap_norest_rest 

* Table 4: Treatment Effect on Competitiveness by Gender
do reg_c_break 

*--------------------------------------------------------------

* Appendix Tables & Figures (excluding already generated above)

* Table A1 Summary statistics for the hormonal measures in experiment 1 
do sum_hormones 

* Table A2 Spearman correlation btw hormonal Measures 
do hormone_corr 

* Table A3 PCA for hormonal responses
do an_pca 

* Table A5 PCA for baseline hormonal levels 
do an_pca_baseline 

* Table A10, A11 Over- and Under-entry 
do reg_over_under_entry

* Figure A1
do reg_c_gh_robustness

* Table B1
do reg_confidence_risk_hormone

* Table B2
do reg_confidence_risk_rest

* Other results mentioned in the text 

* Analyse the correlations between duplicated hormone assays
do corr_duplicate_assays 

* Ex post power analysis
do expost_power
DOI: 10.17632/trgd5tnwxp.1
title: Data for all records of Roosting Selection For Andean Condor Colombia

description: We gathered roost site data from three sources: i) satellite data from two tagged wild condors (an adult female and an immature male) tracked in north-eastern Colombia between 2019 and 2021 using Geotrack 65G Solar PTT trackers; ii) satellite data from three wild condors tracked between 2014 and 2017 using Microwave Telemetry satellite trackers (PTT-100 50 Gram Solar Patagial) (these individuals were tagged in Ecuador but used roosting sites in southern Colombia); and iii) roosts identified by direct observations between 2014 and 2021 across different parts of the Colombian Andes.
The satellite data recorded 4640 GPS locations, from which we identified 461 roost sites in Colombia, 10 of which were verified by direct observations, here we have also the environmental and geomorphological data from each select and unselect site.
DOI: 10.17632/jgzc745d5m.1
title: LDHU3_18.2110

description: DnaJ domain-containing protein | JDP42 | J42; Leishmania donovani (HU3 strain)
DOI: 10.17632/yghykzm4km.1
title: Indoor Fire Dataset with Distributed Multi-Sensor Nodes (Industrial Hall)

description: The dataset contains 4 incipient fire scenarios (wood, candles, cable, lunts) along with 8 different nuisance scenarios (smoke from a fog machine, deodorant, ethanol, CO release, exhaust gases, green waste, welding, and abrasive cutting) carried out in a (10 x 22 x 8)m^3 industrial hall without ventilation. Each scenario was repeated 3 times in random with background sequences in between to reduce the influence of prehistory. The dataset consists of 248,502 rows and 18 columns and is structures as a continuous multivariate time series. Each row represents the sensor measurements (CO2, CO, H2, humidity, particulate matter of different sizes, air temperature, VOC and UV) from a unique sensor node position ("Sensor_ID") in the industrial hall at a specific timestamp. The columns correspond to the sensor measurements and include additional labels: a scenario-specific label ("scenario_label"), a binary label ("anomaly_label") distinguishing between "Normal" (background) and "Anomaly" (fire or nuisance scenario), a "fire_label" intersecting the anomalies into fire-relevant or non-fire-relevant anomalies and a progress label ("progress_label") that allows for dividing the events into sub-sequences based on ongoing physical sub-processes. The "Sensor_ID" column can be utilized to access data from different sensor node positions.
DOI: 10.15468/dl.tb3a4f
title: Occurrence Download

description: A dataset containing 679 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Benin",
 "TaxonKey is Panthera leo (Linnaeus, 1758)"
 ]
}

 The dataset includes 679 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000001-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/wzdnj532yg.1
title: Sikder et.al, Centromere inactivation during aging can be rescued in human cells

description: Raw unprocessed images of Immunofluorescence data and western blots
DOI: 10.15468/dl.acg5aj
title: Occurrence Download

description: A dataset containing 3889 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Benin",
 "TaxonKey is Milicia excelsa (Welw.) C.C.Berg"
 ]
}

 The dataset includes 3889 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000002-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fy75ju
title: Occurrence Download

description: A dataset containing 2114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Olearia avicenniifolia (Raoul) Hook.fil."
 ]
}

 The dataset includes 2114 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000003-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2kdfcs
title: CCDC 2365435: Experimental Crystal Structure Determination

description: Related Article: Dongho Keum, Siyoung Cho, Jean Bouffard, Youngmi Kim|2024|J.Mater.Chem.C|12|19227|doi:10.1039/D4TC02736A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kdfbr
title: CCDC 2365434: Experimental Crystal Structure Determination

description: Related Article: Dongho Keum, Siyoung Cho, Jean Bouffard, Youngmi Kim|2024|J.Mater.Chem.C|12|19227|doi:10.1039/D4TC02736A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kdfdt
title: CCDC 2365436: Experimental Crystal Structure Determination

description: Related Article: Dongho Keum, Siyoung Cho, Jean Bouffard, Youngmi Kim|2024|J.Mater.Chem.C|12|19227|doi:10.1039/D4TC02736A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kgkd0
title: CCDC 2367482: Experimental Crystal Structure Determination

description: Related Article: Shuang Jiao, Wen-Li Zhang, Ming-Mei Fan, Shi-Huan Li, Shi-Yu Chen, Xiao-Bing Lu, Ye Liu|2024|J.Am.Chem.Soc.|146|34560|doi:10.1021/jacs.4c12213
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kgkl6
title: CCDC 2367488: Experimental Crystal Structure Determination

description: Related Article: Shuang Jiao, Wen-Li Zhang, Ming-Mei Fan, Shi-Huan Li, Shi-Yu Chen, Xiao-Bing Lu, Ye Liu|2024|J.Am.Chem.Soc.|146|34560|doi:10.1021/jacs.4c12213
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kgqf6
title: CCDC 2367638: Experimental Crystal Structure Determination

description: Related Article: Yun-Hai Sun, Ji-Ming Xi, Zhong-Lin Wei, Wei-Wei Liao|2024|J.Org.Chem.|89|18665|doi:10.1021/acs.joc.4c02156
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kj93j
title: CCDC 2369147: Experimental Crystal Structure Determination

description: Related Article: Aleksandra Sochacka-Ćwikła, Andrzej Regiec, Żaneta Czyżnikowska, Urszula Śliwińska-Hill, Anna Kwiecień, Benita Wiatrak, Agnieszka Rusak, Klaudia Krawczyńska, Monika Mrozowska, Sylwia Borska, Katarzyna Ratajczak, Anna Pyra, Marcin Mączyński|2024|Bioorg.Chem.|153|107958|doi:10.1016/j.bioorg.2024.107958
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.