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  • 1
    Publication Date: 2024-03-28
    Description: We present in depth data of the sea urchin population in the Arctic Porsangerfjord. Sea urchins were collected by hand from randomly chosen square meters of two present habitats: a sea urchin barren, characterized by stony ground without major algae growth, and the neighbouring kelp forest with a healthy macroalgae community. Both habitats are located near the shoreline of a bay in the Porsangerfjord, called the Holmfjord, and sampling took place in less than 1 m depth at low tide. Sampling was conducted in two consecutive years, summer 2022 and summer 2023. Data collected from the sea urchins includes the test-diameter, freshmass, species and morphotype.
    Keywords: Abundance; Analytical balance, Sartorius, B110; Arctic Biodiversity & Livelihoods; AWI_INSPIRES; Biomass; Color description; Comment; FACE-IT; Habitat; HAND; Holmfjord_Porsangerfjord_2022; Holmfjord_Porsangerfjord_2023; International Science Program for Integrative Research in Earth Systems; Norway; Porsangerfjord; Quadrat number; Ruler tape; Sampling by hand; sea urchin; Sea urchin, biomass, wet mass; Sea urchin, diameter; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Stronglyocentrotus pallidus; Strongylocentrotus droebachiensis; Year of sampling
    Type: Dataset
    Format: text/tab-separated-values, 16054 data points
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  • 2
    Publication Date: 2024-03-28
    Description: Raw Sub-bottom profiles based on acquisition recorded during Meteor expedition M167 between 17.10.2020 and 31.10.2020 in the Alboran Sea and Gulf of Cadiz. The aim of the cruise was to investigate the mud volcanoes of the region. The sub-bottom profiler Parasound P70 (Atlas Hydrographic GmbH) was operated to provide high resolution information of the uppermost 50-100 m of the subseafloor sediments. This system is a hull mounted parametric echo-sounder which utilizes the parametric effect based on non-linear relations of pressure and density during sonar propagation. Two high intensity waves with frequencies of 18‐20 kHz (primary high frequency, PHF) and 22-24 kHz were used to create a secondary high (about 40‐42 kHz) and a secondary low frequency (SLF) of about 4 kHz. While the SLF is used for the sub-bottom profiling, the PHF signal can be recorded synchronously to image potential gas bubbles, plankton, fishes or nepheloid layers in the water column. The footprint corresponds to size of about 7% of the water depth due to an opening angle of the transducer array of 4° by 5°. The chosen stetting of the P70 during cruise M167 are listed as follows: Desired SLF: 4 kHz (in the Alboran Sea), 3.5 kHz (in the Gulf of Cadiz) Desired PHF: 18 kHz Pulse type Continuous Wave with a length of 250 ms Pulse shape: Rectangular Depth Search Window: Mode Variable Min/Max Depth Limit System Sounding Depth: Other / EM122 For more details on data acquisition please see the M167 cruise report. Data quality: For the standard operation, a parametric frequency of 4 kHz in the Alboran Sea and 3.5 kHz in the Gulf of Cadiz as well as a sinusoidal source wavelet of 2 periods was chosen to provide a good relation between signal penetration and vertical resolution. The transmission sequence was established as a single pulse mode with manual system depth of the multibeam echosounder EM122 system. The PHF and SLF signal were recorded permanently. The Parastore software was used for the monitoring and quality control of the incoming data. It controls the data recording, processing, and visualization. All raw data were stored in the *.ASD data format, which contains the data of the full water column of each signal as well as the full set of system parameters. Additionally, the data was recorded in compressed *.PS3 files every 100 mb or 60 min, with the carrier frequency and the necessary geographical coordinates (UTM 29/30 and Lat/Lon).
    Keywords: ATLAS Parasound P70 Deep-Sea Parametric Sub-Bottom Profiler; Binary Object; Binary Object (File Size); Binary Object (MD5 Hash); Binary Object (Media Type); GPF 18-2_040; Gulf of Cadiz; M167; M167_0_Underway-3; Meteor (1986); P70; PARASOUND; subbottom echosounder; sub-bottom profiles
    Type: Dataset
    Format: text/tab-separated-values, 1178 data points
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  • 3
    Publication Date: 2024-03-28
    Description: This dataset presents tie points between sediment core PS75/059-2 and IODP Site U1541 based on an alignment of high-resolution X-ray fluorescence (XRF) Fe intensity variations in both cores, obtained by Middleton et al. (2024). The splicing of the two cores provides the basis for a combination of the benthic foraminiferal δ¹⁸O records for PS75/059-2 (Ullermann et al., 2016) and IODP Site U1541 (Middleton et al., 2024).
    Keywords: 383-U1541; ANT-XXVI/2; COMPCORE; Composite Core; DEPTH, sediment/rock; EXP383; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; Joides Resolution; KL; Piston corer (BGR type); Polarstern; PS75/059-2; PS75 BIPOMAC; South Pacific Ocean
    Type: Dataset
    Format: text/tab-separated-values, 0 data points
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  • 4
    Publication Date: 2024-03-28
    Description: This dataset presents user-defined tiepoints of the manual alignment of the benthic foraminiferal δ¹⁸O record at ODP Site 1090 to the benthic foraminiferal LR04 δ¹⁸O stack of Lisiecki and Raymo (2005) obtained by Middleton et al. (2024). The benthic foraminiferal δ¹⁸O record is based on Cibicidoides wuellerstorfi and was previously published in Hodell et al. (2000) and Venz and Hodell (2002).
    Keywords: 177-1090; AGE; COMPCORE; Composite Core; DEPTH, sediment/rock; Joides Resolution; Leg177; Ocean Drilling Program; ODP; South Atlantic Ocean
    Type: Dataset
    Format: text/tab-separated-values, 0 data points
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  • 5
    Publication Date: 2024-03-28
    Description: This dataset presents benthic foraminiferal δ¹⁸O chronostratigraphies and associated uncertainties for Ocean Drilling Program (ODP) Site 1090, based on different tuning targets including LR04 (Lisiecki and Raymo, 2005), LR09 (Lisiecki and Raymo, 2009), CENOGRID (Westerhold et al., 2020) and Probstack (Ahn et al., 2017) and based on manual versus automated tuning techniques (Middleton et al., 2024). The benthic foraminiferal δ¹⁸O record at ODP Site 1090 is based on Cibicidoides wuellerstorfi and was previously published in Hodell et al. (2000) and Venz and Hodell (2002). Automated tuning is based on Hidden Markov Model (HMM)-Match-based alignments (Middleton et al., 2024) generated using the automated probabilistic HMM-Match algorithm of Lin et al. (2014). The manual alignments of ODP Site 1090 were obtained by realigning the original age model tie points (Venz and Hodell, 2002) to the benthic foraminiferal LR04 δ¹⁸O stack using the QAnalySeries software (Kotov and Pälike, 2018). The dataset provides the basis for investigating and discussing the uncertainties of benthic foraminiferal δ¹⁸O stratigraphies for conventional manual and automated tuning techniques and evaluate their impact on sedimentary age models over the past 2.9 Myr (Middleton et al., 2024).
    Keywords: 177-1090; 177-1090B; 177-1090D; 177-1090E; Age, dated; Age model; Cibicidoides spp., δ18O; COMPCORE; Composite Core; Core; DEPTH, sediment/rock; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Event label; Hidden Markov Model (HMM)-Match-based alignment B to Probstack; Hidden Markov Model (HMM)-Match-based alignment to CENOGRID; Hidden Markov Model (HMM)-Match-based alignment to LR04; Hidden Markov Model (HMM)-Match-based alignment to LR09 Atlantic; Hidden Markov Model (HMM)-Match-based alignment to Prob-stack; Joides Resolution; Leg177; Leg Number; Manual Alignment to LR04; Ocean Drilling Program; ODP; PC; Piston corer; Sample code/label; Section; Section position; Site; South Atlantic Ocean; TN057-6-PC4
    Type: Dataset
    Format: text/tab-separated-values, 21310 data points
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  • 6
    Publication Date: 2024-03-28
    Description: This dataset presents benthic foraminiferal δ¹⁸O chronostratigraphies and associated uncertainties for International Ocean Discovery Program (IODP) Site U1541, based on different tuning targets including LR04 (Lisiecki and Raymo, 2005), LR09 (Lisiecki and Raymo, 2009), CENOGRID (Westerhold et al., 2020) and Probstack (Ahn et al., 2017) and based on manual versus automated tuning techniques (Middleton et al., 2024). The benthic foraminiferal δ¹⁸O record for IODP Site U1541 (54°13'S, 125°25'W) recently recovered from the central South Pacific on IODP Expedition 383 (Winckler et al., 2021) is presented for the first time in Middleton et al. (2024). It is based on stable isotope analyses of Cibicidoides wuellerstorfi and Cibicides kullenbergi (Middleton et al., 2024), and was combined with the benthic foraminiferal δ¹⁸O record of PS75/059-2 (Ullermann et al., 2016). Automated tuning is based on Hidden Markov Model (HMM)-Match-based alignments (Middleton et al., 2024) generated using the automated probabilistic HMM-Match algorithm of Lin et al. (2014). The manual tuning was generated by visual alignment of characteristic peaks and troughs of the benthic foraminiferal δ¹⁸O record of IODP Site U1541 to the benthic foraminiferal LR04 stack using the publicly available QAnalySeries software (Kotov and Pälike, 2018). The dataset provides the basis for investigating and discussing the uncertainties of benthic foraminiferal δ¹⁸O stratigraphies for conventional manual and automated tuning techniques and evaluate their impact on sedimentary age models over the past 3.5 Myr (Middleton et al., 2024).
    Keywords: 383-U1541; 383-U1541A; 383-U1541B; 383-U1541C; Age, dated; Age model; ANT-XXVI/2; Cibicidoides spp., δ18O; COMPCORE; Composite Core; Core; Data source; DEPTH, sediment/rock; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Event label; EXP383; Hidden Markov Model (HMM)-Match-based alignment to CENOGRID; Hidden Markov Model (HMM)-Match-based alignment to LR04; Hidden Markov Model (HMM)-Match-based alignment to LR09 Pacific; Hidden Markov Model (HMM)-Match-based alignment to Prob-stack; Hole; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; Joides Resolution; KL; Leg Number; Manual Alignment to LR04; Piston corer (BGR type); Polarstern; PS75/059-2; PS75 BIPOMAC; Sample code/label; Section; Section position; Site; South Pacific Ocean; Type
    Type: Dataset
    Format: text/tab-separated-values, 33741 data points
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  • 7
    Publication Date: 2024-03-28
    Description: This dataset presents benthic foraminiferal δ¹⁸O chronostratigraphies and associated uncertainties for Ocean Drilling Program (ODP) Site 980 and 981, based on different tuning targets including LR04 (Lisiecki and Raymo, 2005), LR09 (Lisiecki and Raymo, 2009), CENOGRID (Westerhold et al., 2020) and Probstack (Ahn et al., 2017) and based on manual versus automated tuning techniques (Middleton et al., 2024). The benthic foraminiferal δ¹⁸O record at ODP 980 is based on Cibicidoides wuellerstorfi and Cibicides kullenbergi, and was previously published (McManus et al., 1999; Flower et al., 2000; Oppo et al., 1998). The ODP Site 981 data were measured on benthic foraminifera of the genus Cibicidoides (Raymo et al., 2004). The benthic foraminiferal δ¹⁸O records of ODP Site 980 and 981 were spliced together at ~860 ka (Raymo et al., 2004). Automated tuning is based on Hidden Markov Model (HMM)-Match-based alignments (Middleton et al., 2024) generated using the automated probabilistic HMM-Match algorithm of Lin et al. (2014). The manual alignments of ODP Site 980/981 were obtained by realigning the original age model tie points (e.g., Raymo et al., 2004) to the benthic foraminiferal LR04 δ¹⁸O stack using the QAnalySeries software (Kotov and Pälike, 2018). The dataset provides the basis for investigating and discussing the uncertainties of benthic foraminiferal δ¹⁸O stratigraphies for conventional manual and automated tuning techniques and evaluate their impact on sedimentary age models over the past 1.8 Myr (Middleton et al., 2024).
    Keywords: 162-980; 162-981; Age, dated; Age model; Cibicidoides spp., δ18O; COMPCORE; Composite Core; DEPTH, sediment/rock; Event label; Hidden Markov Model (HMM)-Match-based alignment to CENOGRID; Hidden Markov Model (HMM)-Match-based alignment to LR04; Hidden Markov Model (HMM)-Match-based alignment to LR09 Atlantic; Hidden Markov Model (HMM)-Match-based alignment to Prob-stack; Joides Resolution; Leg162; Manual Alignment to LR04; Ocean Drilling Program; ODP; South Atlantic Ocean
    Type: Dataset
    Format: text/tab-separated-values, 22351 data points
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  • 8
    Publication Date: 2024-03-28
    Description: This dataset presents benthic foraminiferal δ¹⁸O chronostratigraphies for International Ocean Discovery Program (IODP) Site U1541, Ocean Drilling Program (ODP) Site 1090 and ODP Site 980-981 based on different tuning targets including LR04 (Lisiecki and Raymo, 2005), LR09 (Lisiecki and Raymo, 2009), CENOGRID (Westerhold et al., 2020) and Probstack (Ahn et al., 2017) obtained by Middleton et al. (2024). The benthic foraminiferal δ¹⁸O record for IODP Site U1541 (54°13'S, 125°25'W) recently recovered from the central South Pacific on IODP Expedition 383 (Winckler et al., 2021) is shown for the first time and is published in Middleton et al. (2024). All data records are based on Cibicidoides wuellerstorfi and Cibicides kullenbergi, or combinations thereof. The dataset provides the basis for investigating and discussing the uncertainties of benthic foraminiferal δ¹⁸O stratigraphies for conventional manual and automated tuning techniques and evaluate their impact on sedimentary age models over the past 3.5 Myr (Middleton et al., 2024).
    Keywords: Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; Ocean Drilling Program; ODP
    Type: Dataset
    Format: application/zip, 7 datasets
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  • 9
    Publication Date: 2024-03-28
    Description: The site scale observations of the Indian crops are very rarely available for public access. Students at all agricultural institutes across India carry out experiments on Indian crops as part of their curriculum and report the results in a thesis. The thesis from such institutes is uploaded to the Krishikosh repository (https://krishikosh.egranth.ac.in). To fill the gap of absence of crop data on Indian crops, we started to look at this repository and collect data. We have collected and harmonized crop phenology and agricultural management data of major Indian crops such as spring wheat and rice from these theses. This dataset is the first of its kind, providing and combining weather data from several crop-growing regions. We are combining data from 83 theses related to rice and data from 64 theses related to spring wheat. These data are from 48 individual sites, a few of which have multiple growing seasons.
    Keywords: Agriculture; Akola; Anand; Author(s); Bapatla; Bengaluru; Bhubaneswar; Binary Object; Brahmavara; Chatha; Coimbatore; Compilation; Cooch Behar; Country; crop yield; Dhadesugur; Dharwad; Event label; Faizabad; Field measurement; Gwalior; Identification; IND_RI_AKO_1977; IND_RI_AKO_1978; IND_RI_AKO_1979; IND_RI_BAP_2002; IND_RI_BEN_2016; IND_RI_BHU_2014; IND_RI_BRA_2017; IND_RI_COM_1985; IND_RI_COM_1986; IND_RI_DEL_1966; IND_RI_DEL_1967; IND_RI_DHA_2017; IND_RI_FAZ_2000; IND_RI_FAZ_2001; IND_RI_HYD_2010; IND_RI_JAB_1987; IND_RI_JAB_2009; IND_RI_JAB_2010; IND_RI_JAB_2011; IND_RI_JAB_2019; IND_RI_JOR_1997; IND_RI_JOR_1998; IND_RI_JOR_1999; IND_RI_KAS_2002; IND_RI_KAU_2008; IND_RI_KAU_2015; IND_RI_KUT_2013; IND_RI_KUT_2015; IND_RI_KUT_2016; IND_RI_KUT_2018; IND_RI_KUT_2019; IND_RI_MAD_1984; IND_RI_MAD_1985; IND_RI_MAN_2010; IND_RI_MEE_2019; IND_RI_PAL_1989; IND_RI_PAL_1990; IND_RI_PAL_1991; IND_RI_PAL_1992; IND_RI_PAL_1993; IND_RI_PAL_1997; IND_RI_PAL_1998; IND_RI_PAL_1999; IND_RI_PAL_2000; IND_RI_PAL_2001; IND_RI_PAL_2020; IND_RI_PAN_2005; IND_RI_PAN_2006; IND_RI_PAN_2010; IND_RI_PAN_2011; IND_RI_PAN_2012; IND_RI_PAN_2016; IND_RI_PAN_2017; IND_RI_PAN_2019; IND_RI_PON_2021; IND_RI_RAI_1973; IND_RI_RAI_1977; IND_RI_RAI_1984; IND_RI_RAI_1985; IND_RI_RAI_2009; IND_RI_RAI_2012; IND_RI_RAI_2015; IND_RI_RAI_2016; IND_RI_RAI_2018; IND_RI_RAI_2019; IND_RI_RAJ_2001; IND_RI_RAJ_2002; IND_RI_RAN_2015; IND_RI_RAN_2019; IND_RI_RED_2000; IND_RI_RED_2001; IND_RI_REW_2007; IND_RI_REW_2009; IND_RI_SRI_2012; IND_RI_TIR_1989; IND_RI_TIR_1994; IND_RI_TIR_1995; IND_RI_TIR_1996; IND_RI_VAD_2016; IND_RI_VAD_2017; IND_RI_VAD_2018; IND_RI_VAR_2016; IND_RI_VEL_1985; IND_SW_ANA_1964; IND_SW_ANA_1965; IND_SW_ANA_1968; IND_SW_ANA_1969; IND_SW_CHA_1997; IND_SW_CHA_1998; IND_SW_COB_1997; IND_SW_COB_1998; IND_SW_COB_2000; IND_SW_COB_2001; IND_SW_DHA_1998; IND_SW_DHA_1999; IND_SW_DHA_2000; IND_SW_DHA_2002; IND_SW_DHA_2016; IND_SW_FAZ_2003; IND_SW_FAZ_2004; IND_SW_FAZ_2020; IND_SW_GWA_2011; IND_SW_INR_1986; IND_SW_JAB_2013; IND_SW_JAB_2014; IND_SW_JAI_2013; IND_SW_JAI_2014; IND_SW_JOB_1970; IND_SW_JOB_1977; IND_SW_JOB_1983; IND_SW_JOB_1984; IND_SW_JOB_1998; IND_SW_JOB_1999; IND_SW_JOB_2000; IND_SW_JOB_2002; IND_SW_JOB_2015; IND_SW_JOB_2016; IND_SW_LUD_2011; IND_SW_LUD_2012; IND_SW_MEE_2011; IND_SW_MEE_2012; IND_SW_MEE_2013; IND_SW_NAD_1972; IND_SW_NAD_1973; IND_SW_NAD_1990; IND_SW_NAD_1991; IND_SW_NAD_1999; IND_SW_NAD_2000; IND_SW_NAD_2001; IND_SW_NAD_2002; IND_SW_NAD_2005; IND_SW_NAD_2006; IND_SW_NAD_2007; IND_SW_NAD_2013; IND_SW_NAD_2014; IND_SW_PAN_2007; IND_SW_PAN_2008; IND_SW_PAR_2001; IND_SW_PAR_2005; IND_SW_PAR_2009; IND_SW_PAR_2019; IND_SW_RAN_1995; IND_SW_RAN_1996; IND_SW_RAN_1997; IND_SW_RAN_2013; IND_SW_RAN_2014; IND_SW_RAN_2017; Indore; Jabalpur; Jaipur; Jobner; Jorhat; Journal/report publisher; Journal/report title; Kanke, Ranchi; Kaul; Kuthulia; Literature survey; Ludhiana; Madurai; Mandya; Meerut; Nadia; New delhi; Palampur; Pantnagar; Parbhani; phenology; Poonch; Publication type; Raipur; Rajavanthi; Rajendranagar; Ranchi; Reddipalli; Rewa; rice; Spring wheat; Srikakulam; Srinagar; Tirupati; Uniform resource locator/link to source data file; Vadgaon Maval; Varanasi; Vellayani; Year of publication
    Type: Dataset
    Format: text/tab-separated-values, 1470 data points
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  • 10
    Publication Date: 2024-03-28
    Description: The weather has a significant impact on crop growth. In the Indian agroecosystem information on the weather during a crop's growing season measured at the experimental site is scarce. We have compiled and harmonized meteorological data measured at the experimental sites for rice and spring wheat crop from various Indian agricultural institutes. These theses are available as pdf at the Krishikosh repository (https://krishikosh.egranth.ac.in). This dataset is the first of its kind, providing and combining weather data from several crop-growing regions. We are combining data from 83 theses related to rice and data from 64 theses related to spring wheat. These data are from 48 individual sites, a few of which have multiple growing seasons.
    Keywords: Agriculture; Akola; Anand; Author(s); Bapatla; Bengaluru; Bhubaneswar; Brahmavara; Chatha; Coimbatore; Compilation; Cooch Behar; Country; crop yield; DATE/TIME; Date/time end; Dhadesugur; Dharwad; ELEVATION; Evaporation, daily mean; Evaporation, daily total; Event label; Faizabad; Field measurement; Gwalior; Humidity, relative; Humidity, relative, daily mean; Humidity, relative, maximum; Humidity, relative, minimum; Humidity, relative, monthly mean; Identification; IND_RI_AKO_1977; IND_RI_AKO_1978; IND_RI_AKO_1979; IND_RI_BAP_2002; IND_RI_BEN_2016; IND_RI_BHU_2014; IND_RI_BRA_2017; IND_RI_COM_1985; IND_RI_COM_1986; IND_RI_DEL_1966; IND_RI_DEL_1967; IND_RI_DHA_2017; IND_RI_FAZ_2000; IND_RI_FAZ_2001; IND_RI_HYD_2010; IND_RI_JAB_1987; IND_RI_JAB_2009; IND_RI_JAB_2010; IND_RI_JAB_2011; IND_RI_JAB_2019; IND_RI_JOR_1997; IND_RI_JOR_1998; IND_RI_JOR_1999; IND_RI_KAS_2002; IND_RI_KAU_2008; IND_RI_KAU_2015; IND_RI_KUT_2013; IND_RI_KUT_2015; IND_RI_KUT_2016; IND_RI_KUT_2018; IND_RI_KUT_2019; IND_RI_MAD_1984; IND_RI_MAD_1985; IND_RI_MAN_2010; IND_RI_MEE_2019; IND_RI_PAL_1989; IND_RI_PAL_1990; IND_RI_PAL_1991; IND_RI_PAL_1992; IND_RI_PAL_1993; IND_RI_PAL_1997; IND_RI_PAL_1998; IND_RI_PAL_1999; IND_RI_PAL_2000; IND_RI_PAL_2001; IND_RI_PAL_2020; IND_RI_PAN_2005; IND_RI_PAN_2006; IND_RI_PAN_2010; IND_RI_PAN_2011; IND_RI_PAN_2012; IND_RI_PAN_2016; IND_RI_PAN_2017; IND_RI_PAN_2019; IND_RI_PON_2021; IND_RI_RAI_1973; IND_RI_RAI_1977; IND_RI_RAI_1984; IND_RI_RAI_1985; IND_RI_RAI_2009; IND_RI_RAI_2012; IND_RI_RAI_2015; IND_RI_RAI_2016; IND_RI_RAI_2018; IND_RI_RAI_2019; IND_RI_RAJ_2001; IND_RI_RAJ_2002; IND_RI_RAN_2015; IND_RI_RAN_2019; IND_RI_RED_2000; IND_RI_RED_2001; IND_RI_REW_2007; IND_RI_REW_2009; IND_RI_SRI_2012; IND_RI_TIR_1989; IND_RI_TIR_1994; IND_RI_TIR_1995; IND_RI_TIR_1996; IND_RI_VAD_2016; IND_RI_VAD_2017; IND_RI_VAD_2018; IND_RI_VAR_2016; IND_RI_VEL_1985; IND_SW_ANA_1964; IND_SW_ANA_1965; IND_SW_ANA_1968; IND_SW_ANA_1969; IND_SW_CHA_1997; IND_SW_CHA_1998; IND_SW_COB_1997; IND_SW_COB_1998; IND_SW_COB_2000; IND_SW_COB_2001; IND_SW_DHA_1998; IND_SW_DHA_1999; IND_SW_DHA_2000; IND_SW_DHA_2002; IND_SW_DHA_2016; IND_SW_FAZ_2003; IND_SW_FAZ_2004; IND_SW_FAZ_2020; IND_SW_GWA_2011; IND_SW_INR_1986; IND_SW_JAB_2013; IND_SW_JAB_2014; IND_SW_JAI_2013; IND_SW_JAI_2014; IND_SW_JOB_1970; IND_SW_JOB_1977; IND_SW_JOB_1983; IND_SW_JOB_1984; IND_SW_JOB_1998; IND_SW_JOB_1999; IND_SW_JOB_2000; IND_SW_JOB_2002; IND_SW_JOB_2015; IND_SW_JOB_2016; IND_SW_LUD_2011; IND_SW_LUD_2012; IND_SW_MEE_2011; IND_SW_MEE_2012; IND_SW_MEE_2013; IND_SW_NAD_1972; IND_SW_NAD_1973; IND_SW_NAD_1990; IND_SW_NAD_1991; IND_SW_NAD_1999; IND_SW_NAD_2000; IND_SW_NAD_2001; IND_SW_NAD_2013; IND_SW_NAD_2014; IND_SW_PAN_2007; IND_SW_PAN_2008; IND_SW_PAR_2001; IND_SW_PAR_2005; IND_SW_PAR_2009; IND_SW_PAR_2019; IND_SW_RAN_1995; IND_SW_RAN_1996; IND_SW_RAN_1997; IND_SW_RAN_2013; IND_SW_RAN_2014; IND_SW_RAN_2017; Indore; Jabalpur; Jaipur; Jobner; Jorhat; Journal/report publisher; Journal/report title; Kanke, Ranchi; Kaul; Kuthulia; LATITUDE; Literature survey; Location; LONGITUDE; Ludhiana; Madurai; Mandya; Meerut; Nadia; New delhi; Number of wet days; Palampur; Pantnagar; Parbhani; Period; Poonch; Precipitation; Precipitation, monthly mean; Precipitation, monthly total; Publication type; Raipur; Rajavanthi; Rajendranagar; Ranchi; Reddipalli; Rewa; rice; Solar radiation; Spring wheat; Srikakulam; Srinagar; Standard meteorological week; Sunshine duration, daily; Temperature, air, daily mean; Temperature, air, maximum; Temperature, air, minimum; Temperature, air, monthly mean; Tirupati; Uniform resource locator/link to source data file; Vadgaon Maval; Varanasi; Vellayani; Water vapour pressure; Water vapour pressure, maximum; Water vapour pressure, minimum; Wind speed; Year of publication
    Type: Dataset
    Format: text/tab-separated-values, 80931 data points
    Location Call Number Expected Availability
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