cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21900777.v1
title: Performance evaluation of sand dams as a rural rainwater conservation and domestic water supply technology in East-African drylands, a case-study from South-Eastern Kenya

description: Sand dams (SDs) are rainwater harvesting methods in East-African drylands for rural water supplies and small-scale irrigation practices. However, little information exists on their ability to maintain the harvested water in the right quantity and quality. Three SDs were selected from south-eastern Kenya’s semi-arid zone as a case study to evaluate their operational performance. Water and sediment samples were collected and analyzed in both the field and laboratory. Six performance indicators, namely stormwater-capture efficiency (SCE), water-saving efficiency (WSE), volume-based and time-based reliabilities, water demand satisfaction rate (WDSR), water loss percentage, physicochemical water pollution index (WPI) and microbial non-compliance rate (NCR), were computed. Results showed that water storage in SDs is quite low and unfit for direct human consumption. In fact, three experimental SDs harvested 7,356 m<sup>3</sup> during the long-rains season (March–May 2018) for an estimated water demand of 8,990 m<sup>3</sup> (June–September). About 4,505 m<sup>3</sup> (61.24%) was lost through evaporation (64.11%) and seepage (35.89%). These SDs exhibited low WDSR (31.72%), inadequate SCE (3.09%), low WSE (30.85%), dismal volume reliability (24.56%), and undependable time reliability (24.91%). Shallow-well water was less polluted than scoop-hole water but both didn’t meet the bacterial water quality standard (0 CFU/100 mL). The former scored a low WPI of 1.86 (<i>reasonably clean</i>) compared to clean water (WPI ≤ 1), while the latter scored a high WPI of 12.91 (<i>considerably polluted</i>). Furthermore, NCRs for total coliforms were 60% in shallow wells and 90.79% in scoop holes. Therefore, this water should be treated and disinfected for domestic use.
DOI: 10.6084/m9.figshare.24921144
title: <b>Legacy effects of long-term autumn leaf litter removal slow decomposition rates and reduce soil carbon in suburban yards</b>

description: Seasonal senesced leaf litter removal eliminates considerable organic material from suburban soils annually. We test if this disturbance alters decomposition and carbon cycles and depletes soils of organic matter over time, creating persistent legacy effects.We used a factorial experimental design to implement 1-2 years of current leaf litter manipulations (remove or retain fallen leaves) within historically raked and unraked yard areas in suburban Maryland yards. We then compared total organic soil carbon and decomposition using a standardized substrate decomposition methodology (Tea Bag Index) across treatment plots.Long-term litter removal in suburban yards reduced decomposition rates by 17% and total soil organic carbon concentration by up to 24% compared to areas where leaf litter was retained in situ. In contrast, short-term management changes (1-2 years) did not significantly impact decomposition rates or total organic soil carbon concentrations.Our findings suggest that long-term suburban litter raking creates legacy effects that alter decomposition and carbon storage process trajectories that are not easily reversed. This is important in understanding urban ecosystem function and sustainable management.
DOI: 10.5281/zenodo.10697603
title: Dataset related to article: PATHOLOGICAL DEFICIT OF CYSTATIN B IMPAIRS SYNAPTIC PLASTICITY IN EPM1 HUMAN CEREBRAL ORGANOIDS

description: clinical data of the patient
DOI: 10.5281/zenodo.10697604
title: Dataset related to article: PATHOLOGICAL DEFICIT OF CYSTATIN B IMPAIRS SYNAPTIC PLASTICITY IN EPM1 HUMAN CEREBRAL ORGANOIDS

description: clinical data of the patient
DOI: 10.34740/kaggle/dsv/7686529
title: Mahanagar Yatayat Transport Dataset
DOI: 10.5066/p9vrf7ar
title: Penstemon grahamii genetic data from a dryland region of the western United States

description: These data were compiled to investigate the evolutionary history of Graham's beardtongue (Penstemon grahamii). Objective(s) of our study were to determine the evolutionary history of P. grahamii, including ancestral population sizes, the history of population divergences, and historical connectivity. In addition, we characterized population structure, genetic diversity summary statistics, and landscape factors influencing differentiation. These data represent anonymous loci sequenced from throughout the P. grahamii genome (specifically, .vcf and .structure files). Data in these files were manipulated to represent site frequency spectra between population pairs (.data files). These data were collected in 2019 from across the P. grahamii distribution, which is located in northeastern Utah and western Colorado. Specifically, plants are located at lower elevations on the northern slope of the Book Cliffs, which forms the southern side of the Uinta Basin. These data were collected by employees of the U.S. Geological Survey. Known occurrences of P. grahamii were visited and leaf samples from individual plants were collected from across the species&rsquo; distribution. These data can be used to further investigate the genetic differentiation, genetic diversity, and evolutionary history of P. grahamii.
DOI: 10.5281/zenodo.10689010
title: Nonreciprocal recovery of electromagnetically induced transparency by wavenumber mismatch in hot atoms - Data and code for analysis

description: EIT in hot atomic vapors

Electromagnetically induced transparency (EIT) in Doppler-broadened systems of atomic vapors depend strongly on the relative wavelengths of the EIT fields. It is well-known that in three-level ladder-systems, the transmission on EIT resonance can be strongly enhanced in a when the lower transition has a longer wavelength than the upper transition and when the two fields are counter-propagating. For the same wavelength mismatch but co-propagating probe and control fields the Doppler effect leads to no transmission.

The data set contained in this collection show exactly this effect. This collection contains time-binned experimental data and code for the data analysis. The data published here are part of a tutorial (DOI to be provided) submitted to New Journal of Physics special issue on Hot Atomic Vapors 2024.

 

Experimental data:

The experimental data published here are time-binned and normalized transmission spectra of a 780 nm weak probe laser through a rubidium vapor cell at room temperature (25 degree). The transmission is measured in the presence (abscense) of a 480 nm control field and for both co- and counter-propagating geometry of the probe and control fields.

The final row (FitCoPro) is a fit to the co-propagating absorption spectrum. This fit serves as a reference to assign the correct frequency axis to the experimental data. The fit is created with ElecSus (https://github.com/durham-qlm/ElecSus).

In case of questions for the data, or of interest in accessing the full original datasets (not time-binned, not normalized), please contact Nina Stiesdal or Sebastian Hofferberth.

 

Analysis code and theory fits:

The code contained in this collection solves the Hamiltonian presented in the main text and plots eigenvalues and susceptibilities for different cases. For this calculation, it is necessary to include parameters specific to the atomic species of interest. We use the Alkali Rydberg Calculator ARC (https://github.com/nikolasibalic/ARC-Alkali-Rydberg-Calculator) for this.

We further compare theoretically predicted transmission to the experimental measurements. The theoretical predictions are saved to the files

LinearSusceptibility_Counterpropagating_Rb_Temperature_296.15.txt

and

LinearSusceptibility_Counterpropagating_Rb_Temperature_296.15.txt 

These susceptibilities are calculated as discussed in the main publication. In case of questions to the code or calculations, please contact Lida Zhang.
DOI: 10.5281/zenodo.10689011
title: Nonreciprocal recovery of electromagnetically induced transparency by wavenumber mismatch in hot atoms - Data and code for analysis

description: EIT in hot atomic vapors

Electromagnetically induced transparency (EIT) in Doppler-broadened systems of atomic vapors depend strongly on the relative wavelengths of the EIT fields. It is well-known that in three-level ladder-systems, the transmission on EIT resonance can be strongly enhanced in a when the lower transition has a longer wavelength than the upper transition and when the two fields are counter-propagating. For the same wavelength mismatch but co-propagating probe and control fields the Doppler effect leads to no transmission.

The data set contained in this collection show exactly this effect. This collection contains time-binned experimental data and code for the data analysis. The data published here are part of a tutorial (DOI to be provided) submitted to New Journal of Physics special issue on Hot Atomic Vapors 2024.

 

Experimental data:

The experimental data published here are time-binned and normalized transmission spectra of a 780 nm weak probe laser through a rubidium vapor cell at room temperature (25 degree). The transmission is measured in the presence (abscense) of a 480 nm control field and for both co- and counter-propagating geometry of the probe and control fields.

The final row (FitCoPro) is a fit to the co-propagating absorption spectrum. This fit serves as a reference to assign the correct frequency axis to the experimental data. The fit is created with ElecSus (https://github.com/durham-qlm/ElecSus).

In case of questions for the data, or of interest in accessing the full original datasets (not time-binned, not normalized), please contact Nina Stiesdal or Sebastian Hofferberth.

 

Analysis code and theory fits:

The code contained in this collection solves the Hamiltonian presented in the main text and plots eigenvalues and susceptibilities for different cases. For this calculation, it is necessary to include parameters specific to the atomic species of interest. We use the Alkali Rydberg Calculator ARC (https://github.com/nikolasibalic/ARC-Alkali-Rydberg-Calculator) for this.

We further compare theoretically predicted transmission to the experimental measurements. The theoretical predictions are saved to the files

LinearSusceptibility_Counterpropagating_Rb_Temperature_296.15.txt

and

LinearSusceptibility_Counterpropagating_Rb_Temperature_296.15.txt 

These susceptibilities are calculated as discussed in the main publication. In case of questions to the code or calculations, please contact Lida Zhang.
DOI: 10.6084/m9.figshare.16664546
title: Additional file 4 of Unveiling the transcriptomic complexity of Miscanthus sinensis using a combination of PacBio long read- and Illumina short read sequencing platforms

description: Additional file 4. KEGG pathways enriched of transcripts.
DOI: 10.6084/m9.figshare.16664546.v1
title: Additional file 4 of Unveiling the transcriptomic complexity of Miscanthus sinensis using a combination of PacBio long read- and Illumina short read sequencing platforms

description: Additional file 4. KEGG pathways enriched of transcripts.
DOI: 10.5066/p92a9fxn
title: Database for the Geologic Map of Pocket Basin, Yellowstone National Park, Wyoming

description: This digital publication describes completely the hydrothermal, sedimentary, and volcanic deposits, as well as thermal features as a basis for understanding the hydrothermal processes and explosions in Pocket Basin, Yellowstone National Park, Wyoming at 1:2,400 scale.
DOI: 10.6084/m9.figshare.20337194
title: APPLICATION OF FUNCTIONAL TRAINING IN SOCCER FITNESS

description: ABSTRACT Introduction Although Chinese soccer has experienced many updates in its methods, there is still a large gap in players’ physical endurance compared to the world powers. Therefore, strengthening soccer players’ physical endurance through specific training methods is important in optimizing current performance. Objective Study the application of functional training in soccer players’ physical conditioning. Methods 20 junior soccer physical education student-athletes in colleges and universities were selected as the research object. The global functional training was divided into three stages: practice, adaptation, and promotion. Data were compared, integrated, and analyzed before and after the intervention. Results Conducting targeted functional training for soccer players can effectively increase athletes’ physical endurance, reducing sports injuries and improving overall fitness scores at the technical and stability level. Conclusion From the research of this article, it can be seen that there is a lack of physical fitness and technical strength in Chinese soccer today. The performance of targeted functional training is relevant and should be applied to soccer training. Level of evidence II; Therapeutic studies - investigation of treatment outcomes.
DOI: 10.6084/m9.figshare.20337194.v1
title: APPLICATION OF FUNCTIONAL TRAINING IN SOCCER FITNESS

description: ABSTRACT Introduction Although Chinese soccer has experienced many updates in its methods, there is still a large gap in players’ physical endurance compared to the world powers. Therefore, strengthening soccer players’ physical endurance through specific training methods is important in optimizing current performance. Objective Study the application of functional training in soccer players’ physical conditioning. Methods 20 junior soccer physical education student-athletes in colleges and universities were selected as the research object. The global functional training was divided into three stages: practice, adaptation, and promotion. Data were compared, integrated, and analyzed before and after the intervention. Results Conducting targeted functional training for soccer players can effectively increase athletes’ physical endurance, reducing sports injuries and improving overall fitness scores at the technical and stability level. Conclusion From the research of this article, it can be seen that there is a lack of physical fitness and technical strength in Chinese soccer today. The performance of targeted functional training is relevant and should be applied to soccer training. Level of evidence II; Therapeutic studies - investigation of treatment outcomes.
DOI: 10.6084/m9.figshare.12997162
title: Additional file 11 of Construction of a high-density SNP-based genetic map and identification of fruit-related QTLs and candidate genes in peach [Prunus persica (L.) Batsch]

description: Additional file 11 Table S2. Candidate genes related to fruit quality traits, including fruit weight, fruit diameter, fruit development period, percentage of red skin colour, fruit eating quality, fruit flavour, red in flesh, red around pit, adherence to pit and fruit fibre content.
DOI: 10.6084/m9.figshare.12997162.v1
title: Additional file 11 of Construction of a high-density SNP-based genetic map and identification of fruit-related QTLs and candidate genes in peach [Prunus persica (L.) Batsch]

description: Additional file 11 Table S2. Candidate genes related to fruit quality traits, including fruit weight, fruit diameter, fruit development period, percentage of red skin colour, fruit eating quality, fruit flavour, red in flesh, red around pit, adherence to pit and fruit fibre content.
DOI: 10.6084/m9.figshare.12997165
title: Additional file 12 of Construction of a high-density SNP-based genetic map and identification of fruit-related QTLs and candidate genes in peach [Prunus persica (L.) Batsch]

description: Additional file 12 Table S3. List of primers used in this study.
DOI: 10.6084/m9.figshare.12997165.v1
title: Additional file 12 of Construction of a high-density SNP-based genetic map and identification of fruit-related QTLs and candidate genes in peach [Prunus persica (L.) Batsch]

description: Additional file 12 Table S3. List of primers used in this study.
DOI: 10.6084/m9.figshare.12997159
title: Additional file 10 of Construction of a high-density SNP-based genetic map and identification of fruit-related QTLs and candidate genes in peach [Prunus persica (L.) Batsch]

description: Additional file 10 Table S1. Candidate genes related to fruit soluble solid content (SSC) and acid content (FA).
DOI: 10.6084/m9.figshare.12997159.v1
title: Additional file 10 of Construction of a high-density SNP-based genetic map and identification of fruit-related QTLs and candidate genes in peach [Prunus persica (L.) Batsch]

description: Additional file 10 Table S1. Candidate genes related to fruit soluble solid content (SSC) and acid content (FA).
DOI: 10.5066/p9497cnt
title: Digital Surface Models of the Kajaki Dam in the Helmand Valley, Afghansitan from 1952 Historical Aerial Photos.

description: This study applied historical aerial imagery and satellite imagery to create digital surface models (DSMs) of the Helmand River Valley situated in southwestern Afghanistan. The historical imagery, collected in 1952 by Fairchild Aerial Surveys Incorporated (FAS), at 1:40,000 scale, represents the earliest known aerial photographic archive of the Helmand Valley landscape. Structure-from-motion (SfM) multi-view stereo (MVS) photogrammetric techniques were used together with ground control points collected from high resolution satellite imagery to create a 5m digital elevation model (DEM) and 2m orthoimage. The historical DEM was evaluated for accuracy against a 2006 5m DEM using SPOT-5 HRG satellite imagery which was generated through stereo-autocorrelation techniques. The extraction of these historic data products are significant because they characterize the terrain and land cover of the valley at the time of the Kajaki (or Kajakai) Dam construction and prior to the expanding reservoir. Moreover, this study serves as one of a select few applications wherein historical imagery and DSMs derived from SfM techniques fill the gap of geospatial data prior to the era of satellite imagery coverage. The outputs of this study offer a glimpse into the Helmand Valley’s landscape, waterscape, and elevation in the 1950s, providing a digital historical dataset that can be used in present day research.
DOI: 10.57745/lrxzvi
title: Source_Data_44.eds

description: qPCR experiment - StepOne Plus Real-Time PCR raw data - qPCR145
DOI: 10.57745/fli7io
title: Source_Data_40.eds

description: qPCR experiment - StepOne Plus Real-Time PCR raw data - qPCR143
DOI: 10.57745/aofx3l
title: Source_Data_14.eds

description: qPCR experiment - StepOne Plus Real-Time PCR raw data - qPCR69
DOI: 10.57745/hgobiy
title: Source_Data_13.eds

description: qPCR experiment - StepOne Plus Real-Time PCR raw data - qPCR68
DOI: 10.57745/ydunkf
title: Source_Data_09.eds

description: qPCR experiment - StepOne Plus Real-Time PCR raw data - qPCR40
DOI: 10.57745/6kevyz
title: Source_Data_07.eds

description: qPCR experiment - StepOne Plus Real-Time PCR raw data - qPCR38
DOI: 10.57745/jbke5i
title: Source_Data_17.eds

description: qPCR experiment - StepOne Plus Real-Time PCR raw data - qPCR72
DOI: 10.57745/gfq41c
title: Source_Data_29.eds

description: qPCR experiment - StepOne Plus Real-Time PCR raw data - qPCR132
DOI: 10.57745/h808pm
title: Source_Data_35.eds

description: qPCR experiment - StepOne Plus Real-Time PCR raw data - qPCR138
DOI: 10.57745/ubxvli
title: Source_Data_08.eds

description: qPCR experiment - StepOne Plus Real-Time PCR raw data - qPCR39
DOI: 10.57745/molkal
title: Source_Data_23.eds

description: qPCR experiment - StepOne Plus Real-Time PCR raw data - qPCR85
DOI: 10.57745/7u5p88
title: Source_Data_31.eds

description: qPCR experiment - StepOne Plus Real-Time PCR raw data - qPCR134
DOI: 10.57745/iyvbdq
title: Source_Data_26.eds

description: qPCR experiment - StepOne Plus Real-Time PCR raw data - qPCR107
DOI: 10.57745/inklgy
title: Source_Data_06.eds

description: qPCR experiment - StepOne Plus Real-Time PCR raw data - qPCR36
DOI: 10.57745/dtmhkn
title: Source_Data_24.eds

description: qPCR experiment - StepOne Plus Real-Time PCR raw data - qPCR86
DOI: 10.57745/yzdesg
title: Source_Data_27.eds

description: qPCR experiment - StepOne Plus Real-Time PCR raw data - qPCR115
DOI: 10.57745/zzbwub
title: Source_Data_18.eds

description: qPCR experiment - StepOne Plus Real-Time PCR raw data - qPCR73
DOI: 10.57745/rpolib
title: Source_Data_19.eds

description: qPCR experiment - StepOne Plus Real-Time PCR raw data - qPCR74
DOI: 10.57745/ykymyj
title: Source_Data_15.eds

description: qPCR experiment - StepOne Plus Real-Time PCR raw data - qPCR70
DOI: 10.57745/grvr4h
title: Source_Data_12.eds

description: qPCR experiment - StepOne Plus Real-Time PCR raw data - qPCR67
DOI: 10.57745/ykhzit
title: Source_Data_41.eds

description: qPCR experiment - StepOne Plus Real-Time PCR raw data - qPCR144
DOI: 10.57745/s2fxu0
title: Source_Data_30.eds

description: qPCR experiment - StepOne Plus Real-Time PCR raw data - qPCR133
DOI: 10.57745/hu19pa
title: Source_Data_42.eds

description: qPCR experiment - StepOne Plus Real-Time PCR raw data - qPCR151
DOI: 10.57745/movr6q
title: Source_Data_37.eds

description: qPCR experiment - StepOne Plus Real-Time PCR raw data - qPCR142
DOI: 10.57745/dj9h0n
title: Source_Data_20.eds

description: qPCR experiment - StepOne Plus Real-Time PCR raw data - qPCR79
DOI: 10.57745/ztuxse
title: Source_Data_43.eds

description: qPCR experiment - StepOne Plus Real-Time PCR raw data - qPCR149
DOI: 10.57745/qdptnp
title: Source_Data_16.eds

description: qPCR experiment - StepOne Plus Real-Time PCR raw data - qPCR71
DOI: 10.57745/ewgalb
title: Source_Data_39.eds

description: qPCR experiment - StepOne Plus Real-Time PCR raw data - qPCR141
DOI: 10.57745/31crzh
title: Source_Data_21.eds

description: qPCR experiment - StepOne Plus Real-Time PCR raw data - qPCR80
DOI: 10.57745/k8im8n
title: Source_Data_10.eds

description: qPCR experiment - StepOne Plus Real-Time PCR raw data - qPCR65
DOI: 10.57745/dejajz
title: Source_Data_28.eds

description: qPCR experiment - StepOne Plus Real-Time PCR raw data - qPCR116
DOI: 10.57745/yj9ja1
title: Source_Data_36.eds

description: qPCR experiment - StepOne Plus Real-Time PCR raw data - qPCR139
DOI: 10.57745/ftwjlz
title: Source_Data_45.eds

description: qPCR experiment - StepOne Plus Real-Time PCR raw data - qPCR146
DOI: 10.57745/myo8y2
title: Source_Data_22.eds

description: qPCR experiment - StepOne Plus Real-Time PCR raw data - qPCR81
DOI: 10.57745/tjcgnu
title: Source_Data_03.xml

description: Luciferase experiment - Glomax raw data - HEK2937 cells
DOI: 10.57745/r83wkw
title: Source_Data_32.eds

description: qPCR experiment - StepOne Plus Real-Time PCR raw data - qPCR135
DOI: 10.57745/yrsa5q
title: Source_Data_33.eds

description: qPCR experiment - StepOne Plus Real-Time PCR raw data - qPCR136
DOI: 10.57745/gbbzjx
title: Source_Data_11.eds

description: qPCR experiment - StepOne Plus Real-Time PCR raw data - qPCR66
DOI: 10.57745/fqfdzt
title: Source_Data_25.eds

description: qPCR experiment - StepOne Plus Real-Time PCR raw data - qPCR106
DOI: 10.57745/6zdepq
title: Source_Data_02.csv

description: Luciferase experiment - Glomax raw data - HeLa cells
DOI: 10.57745/mewspf
title: Source_Data_01.csv

description: Luciferase experiment - Glomax raw data - HEK2937 cells
DOI: 10.57745/qbb4jf
title: Source_Data_04.xml

description: Luciferase experiment - Glomax raw data - HeLa cells
DOI: 10.57745/3me9qd
title: Source_Data_47.eds

description: qPCR experiment - StepOne Plus Real-Time PCR raw data - qPCR148
DOI: 10.57745/drib4e
title: Source_Data_05.eds

description: qPCR experiment - StepOne Plus Real-Time PCR raw data - qPCR35
DOI: 10.57745/f4740q
title: Source_Data_38.eds

description: qPCR experiment - StepOne Plus Real-Time PCR raw data - qPCR140
DOI: 10.57745/abaetm
title: Source_Data_46.eds

description: qPCR experiment - StepOne Plus Real-Time PCR raw data - qPCR146
DOI: 10.57745/uvrafk
title: Source_Data_48.eds

description: qPCR experiment - StepOne Plus Real-Time PCR raw data - qPCR150
DOI: 10.57745/ybzub6
title: Source_Data_34.eds

description: qPCR experiment - StepOne Plus Real-Time PCR raw data - qPCR137
DOI: 10.57745/u5fvwx
title: Source_Data_54.xls

description: qPCR experiment - StepOne Plus Real-Time PCR raw data - qPCR65